B.Tech.

Degree
in
INFORMATION TECHNOLOGY

CURRICULUM & SYLLABUS (CBCS)

(For students admitted from the Academic Year 2022-2023)

DEPARTMENT OF INFORMATION TECHNOLOGY

St. XAVIER’S CATHOLIC COLLEGE OF ENGINEERING

CHUNKANKADAI, NAGERCOIL – 629 003.

KANYAKUMARI DISTRICT, TAMIL NADU, INDIA

B.Tech Information Technology Page 1 of 252

 St. XAVIER’S CATHOLIC COLLEGE OF
ENGINEERING
Chunkankadai, Nagercoil – 629 003.

AUTONOMOUS COLLEGE AFFILIATED TO ANNA UNIVERSITY

ACADEMIC REGULATIONS 2022

B.TECH. INFORMATION TECHNOLOGY CURRICULUM

CHOICE BASED CREDIT SYSTEM

Inconsonance to the vision of our college,

An engineering graduate we form would be a person with optimal human development, i.e.
physical, mental, emotional, social and spiritual spheres of personality.

He/she would be also a person mature in relationships, especially knowing how to treat
everyone with respect, including persons of complementary gender with equality and gender
sensitivity guided by clear and pro-social values.

He/she would be patriotic and would hold the Indian Constitution and all the precepts it outlays
close to his heart and would have a secular spirit committed to safeguard and cherish the multi-
cultural, multi-religious and multi-linguistic ethos of Indian Society.

Academically, he/she would be a graduate with a strong engineering foundation with proficient
technical knowledge and skills. He/she would have enough exposure and experience into the
ethos of relevant industry and be industry ready to construct a successful career for himself and
for the benefit of the society.

He/she would have been well trained in research methodology and would have established
himself as a researcher having taken up many research projects, with sound ethical standards
and social relevance. He/she would be a person with a passion for technical innovations
committed to lifelong learning and research.

He/she would be well prepared and confident to develop ingenuous solutions to the problems
people face as an individual and as a team and work for the emancipation of our society with
leadership and courage.

This Information Technology programme intends to produce graduates with essential skills to
take on appropriate professional positions upon graduation and progress into leadership
qualities, pursue research or post graduate studies in the field of IT.

B.Tech Information Technology Page 2 of 252

Upon graduation a student should be able to explain and apply appropriate methodologies on
scientific and mathematical foundations and adapt emerging technologies in the management
of IT resources to help individuals or organizations to achieve its goals and objectives for the
welfare of humane society.
1. PROGRAM EDUCATIONAL OBJECTIVES (PEOs)
Apply analytical and critical thinking to meet the requirements of industry,
1.
academia and research.
Develop an intelligent system by applying the knowledge of computing tools and
2.
techniques to solve real world problems.
Develop computerware by understanding the importance of social, business and
3.
environmental needs in the human context.
Design optimal solution with work ethics and adaptability to address complex
4.
engineering problems in multi-disciplinary industries.
Inculcate a high degree of professionalism, leadership skills, effective
5.
communication and team-spirit in heterogeneous environment.

2. PROGRAM OUTCOMES (POs)

PO# Graduate Attribute

Engineering knowledge: Apply the knowledge of mathematics, science, engineering
1 fundamentals, and an engineering specialization to the solution of complex engineering
problems.
Problem analysis: Identify, formulate, review research literature, and analyze complex
2 engineering problems reaching substantiated conclusions using first principles of
mathematics, natural sciences, and engineering sciences.
Design/development of solutions: Design solutions for complex engineering problems
and design system components or processes that meet the specified needs with
3
appropriate consideration for the public health and safety, and the cultural, societal, and
environmental considerations.
Conduct investigations of complex problems: Use research-based knowledge and
4 research methods including design of experiments, analysis and interpretation of data,
and synthesis of the information to provide valid conclusions.
Modern tool usage: Create, select, and apply appropriate techniques, resources, and
5 modern engineering and IT tools including prediction and modeling to complex
engineering activities with an understanding of the limitations.
The engineer and society: Apply reasoning informed by the contextual knowledge to
6 assess societal, health, safety, legal and cultural issues and the consequent responsibilities
relevant to the professional engineering practice.
Environment and sustainability: Understand the impact of the professional
7 engineering solutions in societal and environmental contexts, and demonstrate the
knowledge of, and need for sustainable development.
Ethics: Apply ethical principles and commit to professional ethics and responsibilities
8
and norms of the engineering practice.
Individual and team work: Function effectively as an individual, and as a member or
9
leader in diverse teams, and in multidisciplinary settings.

B.Tech Information Technology Page 3 of 252

 Communication: Communicate effectively on complex engineering activities with the
engineering community and with society at large, such as, being able to comprehend and
10
write effective reports and design documentation, make effective presentations, and give
and receive clear instructions.
Project management and finance: Demonstrate knowledge and understanding of the
11 engineering and management principles and apply these to one’s own work, as a member
and leader in a team, to manage projects and in multidisciplinary environments.
Life-long learning: Recognize the need for, and have the preparation and ability to
12 engage in independent and life-long learning in the broadest context of technological
change.

3. PROGRAM SPECIFIC OUTCOMES (PSOs)

1 Apply programming proficiencies to solve complex engineering problems.
Build and manage IT infrastructure to solve real world problems with modelling and
2
prediction tools, techniques and resources.
Comprehend the lifelong learning on technological advancement and practice
3
professional ethics in concern for social well-being.
PEO’s - PO’s & PSO’s MAPPING:
PO PSO
PEO#
1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
PEO1 3 3 2 1 - 1 - - - - - 1 2 - 1
PEO2 3 2 2 2 3 1 - - - - - 2 1 3 1
PEO3 - - 3 2 2 2 3 - - - 1 1 1 3 1
PEO4 3 2 3 3 1 - - 3 - 2 - 1 1 2 1
PEO5 - - - - - 1 - - 3 3 3 2 - - 2

PROGRAM ARTICULATION MATRIX

Course PO PSO
Year Semester
Code 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
MA22101 3 2 - - - - - - - - - 1 2 - -
PH22101 2 1 - - - - - - - - - 1 2 - -
CH22101 3 2 2 1 - - 2 - - - - 1 2 - -
CS22101 3 3 3 3 - - - - - - - 1 3 - -
HS22102 1 - - - - 2 2 3 1 1 - 1 - - 3
I
GE3152 - - - - - 1 - - - - - - - - -
I EN22101 - - - - - - - - 2 2 - 2 - - 1
BS22101 3 1 - - - 2 2 - 2 1 - 1 2 - -
CS22102 3 3 3 3 2 - - - - - - 1 3 - -
HS22101 3 2 2 1 - - 2 - 2 - 1 1 - 3 -
MA22201 3 2 - - - - - - - - - 1 2 - -
II ES22202 2 2 - - - 1 - - - - - 1 - 2 -
CS22201 3 3 3 3 - - - - - - - - 3 - -

B.Tech Information Technology Page 4 of 252

 ME22201 3 1 - - - - - - 3 1 - 1 - 2 -
GE3252 - - - - - 1 1 - - - - - - - -
EN22201 - - - - - - - - 2 3 - 2 - - 1
PH22203 2 1 - - - - - - 2 1 - 1 2 - -
CH22201 3 - - - - - 3 - 1 1 - 1 - - 2
CS22202 3 3 3 3 - - - - - - - - 3 - -
ES22203 3 - - - - - - - 3 1 - 1 - 1 -
MA22302 3 2 - - - - - - - - - - 2 - -
IT22301 3 3 3 - - - - - - - - - 3 - -
IT22302 3 3 3 - - - - - - - - - 3 - -
CS22301 3 3 3 - - - - - - - - - 3 - -
CS22302 3 3 3 - - - - - - - - 2 - 2 -
III
CS22305 3 2 3 - - - - - - - - - 3 - -
CS22306 2 2 2 1 2 - - - - - - 2 - 3 -
SD22301 3 2 2 - 1 1 1 1 2 3 1 2 2 1 2
AC22301 - 1 1 1 1 1 1 1 1 1 1 1 - - 2
II HS22301 - - - - - 2 - 1 1 2 - 2 - - 1
IT22401 3 3 2 2 - - - - - - - - 3 - -
CS22402 3 3 3 - - - - - - - - - 3 - -
CS22403 3 1 1 2 - - - - - - - 1 2 - -
IT22402 3 3 3 1 2 - - - - - - 1 - 3 -
IV IT22403 3 3 3 2 - - - - - - - - - 3 -
CS22405 3 3 3 - - - - - - - - - 3 - -
IT22404 3 2 2 - - - - - - - - - 2 - -
SD22401 3 2 2 - 1 1 1 1 2 3 1 2 2 1 2
AC22401 2 1 2 - - 2 1 - - - - 1 - - 2
IT22501 3 3 3 - - - - - - - - - 3 - -
IT22502 3 3 3 1 3 - - - - - - - 2 - -
IT22503 3 2 1 1 3 - - - - - - 1 3 - -
IT22504 2 2 - - - - - - 2 2 1 2 - 2 3
V
IT22505 2 2 1 2 3 3 1 1 2 2 1 2 2 2 3
SD22501 2 2 2 - 1 1 1 1 2 2 1 2 2 1 2
III
AC22501 1 1 1 1 1 2 1 2 1 1 1 1 - - 1
HS22501 - - - - - 2 - 1 1 2 - 2 - - 1
HS22601 1 1 1 1 2 2 3 3 2 2 1 2 - - 3
CS22601 3 2 1 - - - - - - - - - - - 3
VI
IT22601 3 2 2 - 2 - - - - 1 - - - 2 -
SD22601 3 2 2 - 1 1 1 1 2 3 1 2 2 - 2
MS22701 - 1 1 1 1 1 1 1 2 1 1 2 - - 3
IT22701 3 3 3 - - - - - - - - - 3 - -
VII IT22702 3 3 3 - - - - - - - - - 3 - -
IV
IT22703 3 3 3 3 3 2 2 2 2 2 2 3 3 3 3
SD22701 3 2 2 - 1 1 1 1 2 3 1 2 2 - 2
VIII IT22801 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3

B.Tech Information Technology Page 5 of 252

 SEMESTER I

CATE PERIODS TOTAL

SL. COURSE PER WEEK CREDI
COURSE TITLE - CONTACT
NO. CODE TS
GORY L T P PERIODS
THEORY COURSES
Matrices and
1. MA22101 BSC 3 1 0 4 4
Calculus
2. PH22101 Engineering Physics BSC 3 0 0 3 3
Engineering
3. CH22101 BSC 3 0 0 3 3
Chemistry
Problem Solving and
4. CS22101 ESC 3 0 0 3 3
Python Programming
Universal Human
Values:
5. HS22102 Understanding HSMC 2 0 0 2 2
Harmony and Ethical
Human Conduct
தமிழர் மரபு
6. GE3152 HSMC 1 0 0 1 1
/Heritage of Tamils
THEORY COURSES WITH PRACTICAL COMPONENT
Communicative
7. EN22101 HSMC 2 0 2 4 3
English
PRACTICAL COURSES
Physics & Chemistry
8. BS22101 BSC 0 0 4 4 2
Laboratory
Python Programming
9. CS22102 ESC 0 0 4 4 2
Laboratory
MANDATORY COURSES
Induction
10. IP22101 - - - - - 0
Programme
Higher Order
11. HS22101 MC 1 0 0 1 1
Thinking
TOTAL 18 1 10 29 24

SEMESTER II

CATE PERIODS TOTAL

SL. COURSE PER WEEK CREDI
COURSE TITLE - CONTACT
NO. CODE TS
GORY L T P PERIODS
THEORY COURSES
1. MA22201 Statistics and BSC 3 1 0 4 4

B.Tech Information Technology Page 6 of 252

 Numerical Methods
Basic Electrical and
2. ES22202 Electronics ESC 3 0 0 3 3
Engineering
3. CS22201 Programming in C ESC 3 0 0 3 3
Engineering
4. ME22201 ESC 2 0 2 4 3
Graphics
தமிழரும்
ததொழில்நுட்பமும்
5. GE3252 HSMC 1 0 0 1 1
/Tamils and
Technology
THEORY COURSES WITH PRACTICAL COMPONENT
6. EN22201 Technical English HSMC 2 0 2 4 3
Physics for
7. PH22203 BSC 2 0 2 4 3
Information Science
Environment and
8. CH22201 BSC 2 0 2 4 3
Sustainability
PRACTICAL COURSES
C Programming
9. CS22202 ESC 0 0 4 4 2
Laboratory
Engineering
10. ES22203 ESC 0 0 4 4 2
Practices Laboratory
TOTAL 18 1 16 35 27

SEMESTER III

PERIODS TOTAL
SL. COURSE CATE - PER WEEK CREDI
COURSE TITLE CONTACT
NO. CODE GORY TS
L T P PERIODS
THEORY COURSES
1. MA22302 Discrete Mathematics BSC 3 1 0 4 4
2. IT22301 Computer Architecture PCC 3 0 0 3 3
3. IT22302 Digital Systems PCC 3 0 0 3 3
Object Oriented
4. CS22301 PCC 3 0 0 3 3
Programming
5. CS22302 Data Structures PCC 3 0 0 3 3
PRACTICAL COURSES
Object Oriented
6. CS22305 Programming PCC 0 0 4 4 2
Laboratory
Data Structures PCC
7. CS22306 0 0 4 4 2
Laboratory

B.Tech Information Technology Page 7 of 252

 EMPLOYABILITY ENHANCEMENT COURSES
Coding Skills and Soft
8. SD22301 Skills Training – EEC 0 0 4 4 2
Phase I
MANDATORY COURSES

9. AC22301 Constitution of India MC 2 0 0 2 0

10. HS22301 Value Education-I MC 1 0 0 1 0

TOTAL 18 1 12 31 22

SEMESTER IV

CATE PERIODS TOTAL

SL. COURSE PER WEEK CREDI
COURSE TITLE - CONTACT
NO. CODE TS
GORY L T P PERIODS
THEORY COURSES
IT22401 Fundamentals of
1. PCC 3 0 0 3 3
Algorithm Analysis
Database
CS22402
2. Management PCC 3 0 0 3 3
Systems
3. CS22403 Operating Systems PCC 3 0 0 3 3
THEORY COURSES WITH PRACTICAL COMPONENT
Probability and
4. IT22402 PCC 2 0 2 4 3
Machine Learning
5. IT22403 Web Essentials PCC 2 0 2 4 3
PRACTICAL COURSES
Database
6. CS22405 Management 0 0 4 4
PCC 2
Systems Laboratory
Operating Systems
7. IT22404 0 0 4 4
Laboratory PCC 2
EMPLOYABILITY ENHANCEMENT COURSES
Coding Skills and
8. SD22401 Soft Skills Training EEC 0 0 4 4 2
- Phase II
MANDATORY COURSES

B.Tech Information Technology Page 8 of 252

 Industrial Safety
9. AC22401 MC 2 0 0 2 0
Engineering
TOTAL 15 0 16 31 21

On the completion of second-year the students can understand and apply the knowledge of
scientific, mathematical, theoretical foundations and computing tools to solve real world
problems.
SEMESTER V

CATE PERIODS TOTAL

SL. COURSE PER WEEK CREDI
COURSE TITLE - CONTACT
NO. CODE TS
GORY L T P PERIODS
THEORY COURSES WITH PRACTICAL COMPONENT
Data Communication
1. IT22501 PCC 2 0 2 4 3
and Networking
2. Software
IT22502 PCC 2 0 2 4 3
Engineering
3. Professional Elective
PEC 2 0 2 4 3
-I
4. Professional Elective
PEC 2 0 2 4 3
– II
PRACTICAL COURSES WITH THEORY COMPONENT
Mobile Application
5. IT22503 Development PCC 1 0 2 3 2
Laboratory
EMPLOYABILITY ENHANCEMENT COURSES

6. IT22504 Technical Seminar EEC 0 0 2 2 1

Inplant / Industrial
Training (2 weeks -
7. IT22505 EEC - - - - 1
During 4th semester
Summer Vacation)
Coding Skills and
8. SD22501 Soft Skills Training - EEC 0 0 4 4 2
Phase III
MANDATORY COURSES
Entrepreneurship
9. AC22501 MC 2 0 0 2 0
Development
10. HS22501 Value Education – II MC 1 0 0 1 0
TOTAL 12 0 16 28 18

B.Tech Information Technology Page 9 of 252

 SEMESTER VI

CATE PERIODS TOTAL

SL. COURSE PER WEEK CREDI
COURSE TITLE - CONTACT
NO. CODE TS
GORY L T P PERIODS
THEORY COURSES
1. HS22601 Professional Ethics HSMC 3 0 0 3 3
2. CS22601 Compiler Design PCC 3 0 0 3 3
3. Open Elective – I OEC 3 0 0 3 3
THEORY COURSES WITH PRACTICAL COMPONENT
4. IT22601 Data Science PCC 2 0 2 4 3
Professional Elective
5. PEC 2 0 2 4 3
– III
Professional Elective
6. PEC 2 0 2 4 3
– IV
EMPLOYABILITY ENHANCEMENT COURSES
Coding Skills and
7. SD22601 Quantitative EEC 0 0 4 4 2
Aptitude – Phase I
TOTAL 15 0 10 25 20

On the completion of third-year the students can adapt emerging IT technologies to solve
challenging engineering problems in multi-disciplinary industries.

SEMESTER VII

CATE PERIODS TOTAL

SL. COURSE PER WEEK CREDI
COURSE TITLE - CONTACT
NO. CODE TS
GORY L T P PERIODS
THEORY COURSES
Principles of
1. MS22701 HSMC 3 0 0 3 3
Management
Cryptography and
2. IT22701 PCC 3 0 0 3 3
Network Security
3. Open Elective - II OEC 3 0 0 3 3
4. Open Elective - III OEC 3 0 0 3 3

THEORY COURSES WITH PRACTICAL COMPONENT

Professional
5. PEC 2 0 2 4 3
Elective – V
Professional
6. PEC 2 0 2 4 3
Elective – VI

B.Tech Information Technology Page 10 of 252

 PRACTICAL COURSES

7. IT22702 Security Lab PCC 0 0 4 4 2

EMPLOYABILITY ENHANCEMENT COURSES

8. IT22703 Mini project EEC 0 0 6 6 3

Coding Skills and
9. SD22701 Quantitative EEC 0 0 4 4 2
Aptitude - Phase II
TOTAL 16 0 18 34 25

SEMESTER VIII

CATE PERIODS TOTAL

SL. COURSE PER WEEK CREDI
COURSE TITLE - CONTACT
NO. CODE TS
GORY L T P PERIODS
PRACTICAL COURSES
1. IT22801 Project Work EEC 16 8
TOTAL 0 0 16 0 8

On the completion of final year, the students can design ethical solutions and manage IT
infrastructure for the sustainable development of humane society.

B.Tech Information Technology Page 11 of 252

 SUMMARY

INFORMATION TECHNOLOGY

Credits Per Semester

Subject Total
Sl.No
Area I II III IV V VI VII VIII Credits

1 HSMC 6 4 3 3 16

2 BSC 12 10 4 26

3 ESC 5 13 18

4 PCC 16 19 8 6 5 54

5 PEC 6 6 6 18

6 OEC 3 6 9

7 EEC 2 2 4 2 5 8 23

8 MC 1 √ √ 1

9 AC √ √ √ 0

Total 24 27 22 21 18 20 25 8 165

B.Tech Information Technology Page 12 of 252

 OPEN ELECTIVE - I

PEROIDS
TOTAL
COURSE COURSE CATE- PER
SL.NO CONTACT CERDITS
CODE TITLE GORY WEEK
PERIODS
L T P
Data Science
1 IT22681 OEC 3 0 0 3 3
using Python
Internet of
2 IT22682 OEC 3 0 0 3 3
Things

OPEN ELECTIVE – II

PEROIDS
TOTAL
COURSE COURSE CATE- PER
SL.NO CONTACT CREDITS
CODE TITLE GORY WEEK
PERIODS
L T P
Front End Web
1 IT22781 OEC 2 0 2 4 3
Development
Introduction to
2 IT22782 OEC 2 0 2 4 3
Devops

OPEN ELECTIVE – III

PEROIDS
TOTAL
COURSE COURSE CATE- PER
SL.NO CONTACT CREDITS
CODE TITLE GORY WEEK
PERIODS
L T P
Introduction to
Mobile
1 IT22783 OEC 3 0 0 3 3
Application
Development
Multi Variate
2 IT22784 OEC 2 0 2 4 3
Data Analytics

B.Tech Information Technology Page 13 of 252

 PROFESSIONAL ELECTIVE COURSES

LIST OF IDENTIFIED VERTICALS

1 INTERNET TECHNOLOGIES
2 ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
3 DATA SCIENCE
4 INFORMATION ASSURANCE AND SECURITY
5 COGNITIVE TECHNOLOGIES

VERTICAL 1 VERTICAL 2 VERTICAL 3 VERTICAL 4 VERTICAL 5

Artificial
Information
Internet Intelligence and Data Cognitive
Assurance
Technologies Machine Science Technologies
and Security
Learning
Cyber Ethics
Full Stack Web Data Quantum
Soft Computing and Legal
Development Analytics Computing
Issues
Penetration
Cloud Artificial NoSQL Testing and Site Reliability
Computing Intelligence Databases Vulnerability Engineering
Analysis
Data
Optimization Digital Edge
UI/UX Design Visualization
Techniques Forensics Computing
Techniques

Text and
Information AR/VR Mixed
DevOps Deep Learning Speech
Security Reality
Analysis

Advanced Web
Cognitive Business Multimedia Prompt
Application
Science Intelligence Security Engineering
Development

Robotics
Digital Social Media Blockchain
Generative AI Process
Marketing Analytics Technologies
Automation

Modern
Salesforce
Application
Administration
Development

B.Tech Information Technology Page 14 of 252

 VERTICAL 1: (6 courses)
INTERNET TECHNOLOGIES
PERIODS
CATE TOTAL
COURSE COURSE PER
SL.NO - CONTACT CREDITS
CODE TITLE WEEK
GORY PERIODS
L T P
Full Stack Web
1 IT22511 PEC-1 2 0 2 4 3
Development
Cloud
2 IT22512 PEC-2 2 0 2 4 3
Computing
3 CS22641 UI/UX Design PEC-3 2 0 2 4 3
4 IT22611 DevOps PEC-4 2 0 2 4 3
Advanced Web
5 IT22711 Application PEC-5 2 0 2 4 3
Development
Digital
6 IT22712 PEC-6 2 0 2 4 3
Marketing
Salesforce
7 CS22753 PEC-7 2 0 2 4 3
Administration

VERTICAL 2 :(6 courses)

ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
PEROIDS
CATE TOTAL
COURSE COURSE PER
SL.NO - CONTACT CERDITS
CODE TITLE WEEK
GORY PERIODS
L T P
1 CS22521 Soft Computing PEC-1 2 0 2 4 3
Artificial
2 IT22521 PEC-2 2 0 2 4 3
Intelligence
Optimization
3 IT22621 PEC-3 2 0 2 4 3
Techniques
4 CS22622 Deep Learning PEC-4 2 0 2 4 3
Cognitive
5 IT22721 PEC-5 2 0 2 4 3
Science
6 IT22722 Generative AI PEC-6 2 0 2 4 3

B.Tech Information Technology Page 15 of 252

 VERTICAL 3: (6 courses)
DATA SCIENCE
PEROIDS
CATE TOTAL
COURSE COURSE PER
SL.NO - CONTACT CERDITS
CODE TITLE WEEK
GORY PERIODS
L T P
1 IT22531 Data Analytics PEC-1 2 0 2 4 3
NoSQL
2 CS22512 PEC-2 2 0 2 4 3
Databases
Data
3 IT22631 Visualization PEC-3 2 0 2 4 3
Techniques
Text and Speech
4 IT22632 PEC-4 2 0 2 4 3
Analysis
Business
5 IT22731 PEC-5 2 0 2 4 3
Intelligence
Social Media
6 IT22732 PEC-6 2 0 2 4 3
Analytics

VERTICAL 4: (6 courses)
INFORMATION ASSURANCE AND SECURITY
PEROIDS
TOTAL
COURSE COURSE CATE- PER
SL.NO CONTACT CREDITS
CODE TITLE GORY WEEK
PERIODS
L T P
Cyber Ethics and
1 IT22541 PEC-1 2 0 2 4 3
Legal Issues
Penetration
Testing and
2 IT22542 PEC-2 2 0 2 4 3
Vulnerability
Analysis
3 IT22641 Digital Forensics PEC-3 2 0 2 4 3
Information
4 IT22642 PEC-4 2 0 2 4 3
Security
Multimedia
5 IT22741 PEC-5 2 0 2 4 3
Security
Blockchain
6 CS22732 PEC-6 2 0 2 4 3
Technologies

B.Tech Information Technology Page 16 of 252

 VERTICAL 5: (6 courses)
COGNITIVE TECHNOLOGIES
PERIODS
TOTAL
COURSE COURSE CATE- PER
SL.NO CONTACT CREDITS
CODE TITLE GORY WEEK
PERIODS
L T P
Quantum
1 IT22551 PEC-1 2 0 2 4 3
Computing
Site Reliability
2 IT22552 PEC-2 2 0 2 4 3
Engineering
3 IT22651 Edge Computing PEC-3 2 0 2 4 3
AR/VR Mixed
4 IT22652 PEC-4 2 0 2 4 3
Reality
Prompt
5 IT22751 PEC-5 2 0 2 4 3
Engineering
Robotics Process
6 IT22752 PEC-6 2 0 2 4 3
Automation
Modern
7 CS22713 Application PEC-7 2 0 2 4 3
Development

SYLLABUS

L T P C
MA22101 MATRICES AND CALCULUS
3 1 0 4
COURSE OBJECTIVES:
• To develop the use of matrix algebra techniques that is needed by engineers for
practical applications
• To familiarize the students with differential calculus
• To familiarize the student with functions of several variables. This is needed in many
branches of engineering
• To acquaint the student with mathematical tools needed in evaluating multiple
integrals and their applications
• To make the students understand various techniques ODE
UNIT I MATRICES 12
Characteristic equation – Eigenvalues and Eigenvectors of a real matrix – Properties of
eigenvalues and eigenvectors – Problem solving using Cayley-Hamilton method – Orthogonal
transformation of a symmetric matrix to Diagonal form – Reduction of a quadratic form to
canonical form by orthogonal transformation – Nature, rank, index.
UNIT II DIFFERENTIAL CALCULUS 12
Representation of functions - Limit of a function - Continuity - Derivatives - Differentiation

B.Tech Information Technology Page 17 of 252

 rules: sum, product, quotient, chain rules - Implicit differentiation – Logarithmic
differentiation – Applications: Maxima and Minima of functions of one variable.
UNIT III FUNCTIONS OF SEVERAL VARIABLES 12
Partial differentiation – Homogeneous functions and Euler’s theorem – Total derivative –
Change of variables – Jacobians – Partial differentiation of implicit functions – Taylor’s series
for functions of two variables – Applications: Maxima and minima of functions of two
variables and Lagrange’s method of undetermined multipliers.
UNIT IV MULTIPLE INTEGRALS 12
Double integrals – Double integrals in Cartesian and polar coordinates –Area enclosed
by plane curves - Change of order of integration – Triple integrals – Volume of solids: cube,
rectangular parallelopiped.
UNIT V ORDINARY DIFFERENTIAL EQUATIONS 12
Linear differential equations of second and higher order with constant coefficients
when the R.H.S is eax, xn , sin ax, cos ax, eax xn, eax sinbx, eax cosbx – Linear differential
equations of second and third order with variable coefficients: Cauchy’s and Legendre’s linear
equations – Method of variation of parameter .
TOTAL: 60 PERIODS
COURSE OUTCOMES:
At the end of the course, the students will be able to:
Define the basic concepts of matrices, limit and continuity of a function,
CO1:
differentiation, ODE and integration
CO2: Explain the properties of matrices and nature of the quadratic form
Interpret the techniques of differentiation, partial differentiation, ODE and
CO3:
integration
Apply diagonalization of matrices in quadratic form and apply Cayley Hamilton
CO4:
theorem to find the inverse of matrices
Solve problems on differentiation, partial differentiation, integration and ODE using
CO5:
different methods
TEXT BOOKS:
1. Narayanan, S. and ManicavachagomPillai, T. K., “Calculus" Volume I and II, S.
Viswanathan Publishers Pvt. Ltd., Chennai, Reprint 2017.
2. Grewal B.S., “Higher Engineering Mathematics”, Khanna Publishers, New Delhi,
43rd Edition,2014.
REFERENCES:
1. Ramana. B.V., "Higher Engineering Mathematics", McGraw Hill Education Pvt. Ltd,
New Delhi, 2016.
2. Anton, H, Bivens, I and Davis, S, "Calculus", Wiley, 10th Edition, 2016.
3. Jain R.K. and Iyengar S.R.K., “Advanced Engineering Mathematics”, Narosa
Publications, New Delhi, 3rd Edition, 2007.
4. Kreyszig.E, "Advanced Engineering Mathematics", John Wiley and Sons, 10th
Edition, New Delhi, 2016.
5. Bali. N., Goyal. M. and Watkins. C., “Advanced Engineering Mathematics”, Firewall
Media (An imprint of Lakshmi Publications Pvt., Ltd.,), New Delhi, 7th Edition, 2009.

B.Tech Information Technology Page 18 of 252

 Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 2 - - - - - - - - - 1 2 - -
CO2 3 2 - - - - - - - - - 1 2 - -
CO3 3 2 - - - - - - - - - 1 2 - -
CO4 3 2 - - - - - - - - - 1 2 - -
CO5 3 2 - - - - - - - - - 1 2 - -
CO 3 2 - - - - - - - - - 1 2 - -
3-High, 2- Medium, 1-Low

Table of Specification for End Semester Question Paper

Cognitive Level
Total 2 Total 16
Unit No. and Analys
Marks Marks
Title Remember Understand Apply e (An)
Qns. Qns.
(Re) (Un) (Ap) Evalua
te (Ev)
1 either 1either or
Unit-I: Matrices 2 1(2)-CO1 1(2)-CO2 -
or (16)-CO4
Unit-II:
1 either 1either or
Differential 2 - 2(2)-CO3 -
or (16)-CO5
Calculus
Unit-III:
1 either 1either or
Functions of 2 - 2(2)-CO3 -
or (16)-CO5
several variables
Unit-IV:
1 either 2(2)-CO3 1either or
Multiple 2 - -
or (16)-CO5
integrals
Unit-V:
Ordinary 1 either - 2(2)-CO3 1either or
2 -
differential or (16)-CO5
equations
5 either or
Total Qns. 10 5 either or 1(2) 9(2) -
(16)
Total Marks 20 80 2 18 80 -
Weightage 20% 80% 2% 18% 80% -
Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 2 2 16 16 64
Weightage 2% 2% 16% 16% 64%

B.Tech Information Technology Page 19 of 252

 L T P C
PH22101 ENGINEERING PHYSICS
3 0 0 3
COURSE OBJECTIVES:
• To enhance the fundamental knowledge in Physics and its applications relevant to
various streams of Engineering and Technology
• To help the students to interrelate the topics such as properties of matter, thermal
physics, ultrasonics, quantum theory and crystals, learned in the course
• To motivate students to compare and contrast the available equipment in the
respective fields
• To induce the students to design new devices that serve humanity by applying the
knowledge gained during the course
UNIT I PROPERTIES OF MATTER 9

Elasticity – Types of Elastic moduli – Factors affecting elasticity - Stress-strain diagram and
its uses - beams - bending moment – cantilever: theory and experiment – uniform and non-
uniform bending: determination of young’s modulus – I shaped Girders - twisting couple -
torsion pendulum: determination of rigidity modulus and moment of inertia – torsion springs
- other states of matter

UNIT II THERMAL PHYSICS 9

Modes of Heat transfer – Thermal conductivity – Newton’s law of cooling – Linear heat flow
– Thermal conductivity in compound media - Lee’s Disc method – Radial heat flow – Rubber
tube method – Solar water heater - Thermodynamics – Isothermal and adiabatic process –
Otto cycle – Diesel cycle
UNIT III ULTRASONICS 9
Sound waves – ultrasonics – properties - production: magnetostriction method - piezoelectric
method – cavitation - acoustic grating: wavelength and velocity of ultrasonic waves in liquids
– applications: welding, machining, cleaning, soldering and mixing (qualitative) - SONAR –
ultrasonic flaw detector - ultrasonography.
UNIT IV QUANTUM PHYSICS 9
Black body radiation – Planck’s radiation law – Deduction of Wien’s displacement law and
Rayleigh Jean’s law - Compton effect, Photoelectric effect (qualitative) – matter waves –
concept of wave function and its physical significance – Schrödinger’s wave equation – time
independent and time dependent equations – particle in a one-dimensional rigid box –
scanning tunneling microscope.
UNIT V CRYSTAL PHYSICS 9
Crystalline and amorphous materials – unit cell, crystal systems, Bravais lattices, Crystal
planes, directions and Miller indices – Characteristics of crystal structures: SC, BCC, FCC
and HCP structures - crystal imperfections: point, line and surface defects – crystal growth :
epitaxial and lithography techniques
TOTAL: 45 PERIODS
COURSE OUTCOMES:
At the end of the course, the students will be able to:

B.Tech Information Technology Page 20 of 252

 Recall the basics of properties of matter, thermal physics and ultrasonics, to
CO1:
improve their engineering knowledge
Define the advanced physics concepts of quantum theory and the characteristics of
CO2:
crystalline materials
Illustrate Bending of beams, thermal behavior and ultrasonic devices to assess
CO3:
societal and safety issues
Summarize the dual aspects of matter, crystal structures and imperfections of
CO4:
crystals
Apply the moduli of elasticity of different materials, thermal energy, ultrasonics,
CO5:
scanning tunneling microscope and crystal growth techniques in engineering fields
TEXT BOOKS:
1. Gaur, R.K & Gupta.S.L, Engineering Physics, Dhanpat Rai Publishers, 2016.
2. Shatendra Sharma & Jyotsna Sharma, Engineering Physics, Pearson India Pvt Ltd.,
2018
REFERENCES:
1. Halliday.D, Resnick, R. & Walker. J, “Principles of Physics”, Wiley, 2015.
2. Bhattacharya, D.K. & Poonam.T., Engineering Physics, Oxford University Press, 2015.
3. Pandey.B.K, & Chaturvedi.S, Engineering Physics, Cengage Learning India. 2012.
4. Malik H K & Singh A K, “Engineering Physics”, McGraw Hill Education (India Pvt.
Ltd.) 2nd edition 2018.
5. Serway.R.A. & Jewett, J.W, “Physics for Scientists and Engineers”, Cengage Learning
India. 2010.

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 2 1 - - - - - - - - - 1 2 - -
CO2 2 1 - - - - - - - - - 1 2 - -
CO3 2 1 - - - - - - - - - 1 2 - -
CO4 2 1 - - - - - - - - - 1 2 - -
CO5 3 2 - - - - - - - - - 1 2 - -
CO 2 1 - - - - - - - - - 1 2 - -
3-High, 2- Medium, 1-Low
Table of Specification for End Semester Question Paper

Cognitive Level
Total 2 Total 16 Analyse
Unit No. and Marks Marks Remember Understand Apply (An)
Title Qns. Qns. (Re) (Un) (Ap)Evaluat
e(Ev)
No. of Qns. (marks) and CO
Unit-I: 2 1 either 1(2)-CO1 1(2)-CO3 1 either or -

B.Tech Information Technology Page 21 of 252

 Properties of or (16)- CO5
Matter

Unit-II: 1 either 1 either or

2 1(2)-CO1 1(2)- CO3 -
Thermal Physics or (16)- CO5

Unit-III: 1 either 1 either or

2 2(2)- CO1 - -
Ultrasonics or (16)- CO5
1 (2)- CO4
Unit-IV: 1 either
2 1(2)-CO2 1either or - - .
Quantum Physics or
(16)- CO4
Unit-V: 1 either 1 either or
2 2(2)-CO2 - -
Crystal Physics or (16)- CO4
3(2) 3 either
5 either
Total Qns. 7(2) 2 either or or -
10 or
(16) (16)
Total Marks 20 80 14 38 48 -
Weightage 20% 80% 14% 38% 48% -
Weightage for
Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 8 6 4 34 48
Weightage 8% 6% 4% 34% 48%

L T P C
CH22101 ENGINEERING CHEMISTRY
3 0 0 3
COURSE OBJECTIVES:
• To make the students conversant with water treatment methods and electrochemistry
Concept
• To gain basic knowledge of corrosion and protection methods
• To understand the basic concepts and synthesis of various engineering materials, nano
materials and fuels
• To familiarise the students with the principles, working process and application of
energy storage devices
UNIT I WATER TREATMENT 9
Water: Sources, impurities - Hardness of water: Types - Estimation of hardness (EDTA
method) - Disadvantages of hard water in boilers (Scale, Sludge) – Softening methods:
Internal treatment (Calgon, Sodium Aluminate) and External treatment (Demineralisation
process). Domestic water treatment – Desalination of brackish water: RO and Solar
desalination method.
UNIT II ELECTROCHEMISTRY AND CORROSION 12
Electrochemical cell – Free energy and emf – Nernst equation and applications – Oxidation
and reduction potential – Standard electrodes: Standard Hydrogen electrode, Saturated

B.Tech Information Technology Page 22 of 252

 calomel electrode, Glass electrode – pH measurement – Conductometric titration (acid-base,
precipitation) and Potentiometric titrations: Redox titration (Fe2+ x Cr2O72-).
Corrosion – Types: Chemical corrosion and Electrochemical corrosion – Corrosion control
methods: Sacrificial anodic and Impressed current Cathodic protection method
UNIT III FUELS AND COMBUSTION 8
Fuels - classification of fuels – Comparison of solid, liquid and gaseous fuel - Solid fuel -
coal - analysis of coal (proximate only) – Liquid fuel - Petroleum – Refining of petroleum -
manufacture of synthetic petrol (Bergius process) – Biodiesel – preparation, properties and
uses. Gaseous fuel – CNG, LPG.
Combustion – Calorific value – Types (Gross and Net calorific value) – Dulong’s formula –
GCV and LCV calculation using Dulong’s formula. Flue gas – Analysis of flue gas by Orsat
method.
UNIT IV ENERGY STORAGE DEVICES 8
Batteries – Types (Primary and Secondary) - Lead acid battery, Lithium ion battery - Super
capacitors – Storage principle, types and examples – Electric vehicle – working principle -
Fuel cells – microbial fuel cell and polymer membrane fuel cell.
Nanomaterials in energy storage – CNT –Types, properties and applications.
UNIT V ENGINEERING MATERIALS 8
Abrasives – Types: Natural and Artificial – SiC – preparation, properties and uses.
Refractories – Types Acidic, Basic, Neutral – Refractoriness, RUL. Cement – Manufacture
– Special cement – white cement and water proof cement. Glass – Manufacture, properties
and uses
TOTAL: 45 PERIODS
COURSE OUTCOMES:
At the end of the course, the students will be able to:
CO1: Recall the basic concepts of water softening, nano materials and batteries
CO2: Summarize the types of corrosion, fuels and energy storage devices
CO3: Explain the basic principles of electrochemistry and engineering materials
CO4: Identify suitable methods for water treatment, fuel and corrosion control
Apply the knowledge of engineering materials, fuels and energy storage devices for
CO5:
material selection and also in energy sectors
TEXT BOOKS:
1. P. C. Jain and Monika Jain, “Engineering Chemistry”, Dhanpat Rai Publishing
Company (P) LTD, New Delhi, 2015.
2. S. S. Dara and S. S. Umare, “A Textbook of Engineering Chemistry”, S. Chand &
Company LTD, New Delhi, 2015.
REFERENCES:
1. Friedrich Emich, “Engineering Chemistry”, Scientific International PVT, LTD, New
Delhi, 2014.
2. Shikha Agarwal, “Engineering Chemistry-Fundamentals and Applications”,
Cambridge University Press, Delhi 2015.
3. Sivasankar B. ‘’Engineering chemistry’’, Tata McGraw Hill Publishing company Ltd,
New Delhi, 2008.

B.Tech Information Technology Page 23 of 252

 4. B.S.Murty, P.Shankar, Baldev Raj, B B Rath and James Murday, ‘’ Text book of nano
science and technology’’ Universities press.
5. O.G. Palanna, ―Engineering Chemistry‖ McGraw Hill Education (India) Private
Limited, 2nd Edition, 2017.

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 2 2 1 - - - - - - - 1 2 - -
CO2 3 2 2 1 - - - - - - - 1 2 - -
CO3 3 2 2 1 - - 1 - - - - 1 2 - -
CO4 3 2 2 1 - - 2 - - - - 1 2 - -
CO5 3 2 2 1 - - 2 - - - - 1 2 - -
CO 3 2 2 1 - - 2 - - - - 1 2 - -
3-High, 2- Medium, 1-Low

Table of Specification for End Semester Question Paper

Cognitive Level
Total 2 Total 16 Analyse(
Marks Marks Remember Understand Apply An)
Unit No. and Title (Re) (Un) (Ap) Evaluate
Qns. Qns.
(Ev)
No. of Qns. (marks) and CO
Unit-I: 1 either 1 either or
2 1(2)-CO1 1(2)-CO2 -
Water Treatment or (16)- CO4
1(2)-CO2
Unit-II:
1 either 1(2)- CO3
Electrochemistry 2 - -
or 1 either or
and Corrosion
(16) – CO3
Unit-III:
1 either 1 either or
Fuels and 2 2(2)- CO2 -
or (16)- CO5
Combustion
Unit-IV:
1 either 1 either or
Energy Storage 2 1(2)-CO1 1 (2)- CO2 - .
or (16)- CO5
Devices
Unit-V: 1(2)- CO3
1 either
Engineering 2 1(2)-CO1 1 either or - -
or
Materials (16)- CO3
4 (2)
5 either 2 either 3 either or
Total Qns. 3 (2) -
10 or or (16)
(16)
Total Marks 20 80 6 46 48 -
Weightage 20% 80% 6% 46% 48% -

B.Tech Information Technology Page 24 of 252

 Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 6 10 36 16 32
Weightage 6% 10% 36% 16% 32%

PROBLEM SOLVING AND PYTHON L T P C

CS22101
PROGRAMMING 3 0 0 3
COURSE OBJECTIVES
● To understand the basics of algorithmic problem solving
● To learn to solve problems using Python conditionals and loops
● To define Python functions and use function calls to solve problems
● To use Python data structures - lists, tuples, and dictionaries to represent complex
Data
● To do input/output with files in Python
INTRODUCTION TO COMPUTERS AND PROBLEM SOLVING
UNIT I 9
STRATEGIES
Introduction- Components and functions of a computer system- Hardware and Software.
Problem solving strategies- Program design tools: Algorithms, Flow charts, Pseudo code
DATA TYPES, EXPRESSIONS, STATEMENTS AND CONTROL
UNIT II 10
FLOW
Features of Python -Variables and Identifiers – Data types: Numbers, Strings, Boolean,
Tuples, List, Dictionary, Sets - Input operation - Comments, Reserved words, Indentation -
Operators and Expressions – Type Conversion - Selection / Conditional Branching
Statements - Basic Loop Structures / Iterative Statements - Nested Loops – break statement
– continue statement – pass statement

UNIT III FUNCTIONS AND STRINGS 9

Functions: Function Definition, function call- variable scope and lifetime – return statements.
Strings: Definition, operations (concatenation, appending, multiply, slicing) - immutability,
comparison, iterations, string methods

UNIT IV LIST, TUPLES AND DICTIONARIES 9

Lists: Access, updating values- nested, cloning- list operations- list methods- looping in list.
Tuples: Tuple operations- nested tuple; Dictionaries- Creating, Accessing, adding,
modifying, deleting items

UNIT V FILES, EXCEPTIONS AND PACKAGES 8

Files: Types of files, Opening and closing Files, Reading and writing files, File positions,
Renaming and deleting files. Exceptions: Errors and exceptions, Handling exceptions,
Packages
TOTAL : 45 PERIODS
COURSE OUTCOMES
Upon completion of the course, the students will be able to
CO1: Describe the algorithmic solutions to simple and complex computational problems

B.Tech Information Technology Page 25 of 252

 Apply functions, modules and packages in Python program and use conditionals and
CO2:
loops for solving problems
CO3: Analyze conditional branching statements
CO4: Evaluate python programs
CO5: Develop programs using compound data types and files
TEXT BOOKS
Reema Thareja, “Python Programming Using Problem Solving Approach”, 13th
1.
Edition, Oxford University Press, 2022.
Allen B. Downey, “Think Python: How to Think like a Computer Scientist”, 2nd
2.
Edition, O’Reilly Publishers, 2016.
REFERENCES
Karl Beecher, “Computational Thinking: A Beginner's Guide to Problem Solving and
1.
Programming”, 1st Edition, BCS Learning & Development Limited, 2017.
Paul Deitel and Harvey Deitel, “Python for Programmers”, Pearson Education, 1st
2.
Edition, 2021.
John V Guttag, "Introduction to Computation and Programming Using Python: With
3. Applications to Computational Modeling and Understanding Data”, Third Edition,
MIT Press, 2021.
Eric Matthes, “Python Crash Course, A Hands - on Project Based Introduction to
4.
Programming”, 2nd Edition, No Starch Press, 2019.

Martin C. Brown, “Python: The Complete Reference”, 4th Edition, Mc-Graw Hill,
5.
2018.

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 3 2 2 - - - - - - - - 3 - -
CO2 3 2 2 2 - - - - - - - - 3 - -
CO3 3 3 3 3 - - - - - - - 1 3 - -
CO4 3 3 3 3 - - - - - - - 1 3 - -
CO5 3 3 3 3 - - - - - - - 1 3 - -
CO 3 3 3 3 - - - - - - - 1 3 - -
3-High, 2- Medium, 1-Low
Table of Specification for End Semester Question Paper

Cognitive Level
Total 2 Total 16 Remem Analyse Evaluat
Unit No. and Marks Marks Understa Apply Create
ber (An) e
Title Qns. Qns. nd (Un) (Ap) (Cr)
(Re) (Ev)
No. of Qns. (marks) and CO
Unit-I: 1 either 1(2)-
2 1(2)-CO1 - - - -
Introduction to or CO1

B.Tech Information Technology Page 26 of 252

 Computers and 1 either
Problem or
Solving (16)-
Strategies CO1
Unit-II:
1 either
Data Types,
1 either 1(2)- or
Expressions, 2 1(2)-CO2 - - -
or CO2 (16)-
Statements and
CO3
Control Flow
1 either
Unit-Ill:
1 either 1(2)- 1(2)- or
Functions and 2 - - -
or CO3 CO3 (16)-
Strings
CO2
1 either
Unit-IV:
1 either 1(2)- or
List, Tuples and 2 1(2)-CO4 - - -
or CO4 (16)-
Dictionaries
CO4
Unit-V: 1 either
Files, 1 either 1(2)- or
2 1(2)-CO5 - - -
Exceptions and or CO5 (16)-
Packages CO5
5(2) 1 1 either 1 either 1 either
5 either 1 either either or or or or
Total Qns. 5(2)
10 or or (16) (16) (16) (16) (16)

Total Marks 20 80 10 26 16 16 16 16
Weightage 20% 80% 10% 26% 16% 16% 16% 16%
Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

UNIVERSAL HUMAN VALUES: UNDERSTANDING L T P C

HS22102
HARMONY AND ETHICAL HUMAN CONDUCT 2 0 0 2
COURSE OBJECTIVES:
• To help students distinguish between values and skills, and understand the need,
basic guidelines, content and process of value education
• To facilitate the students to understand harmony at all the levels of human living,
and live accordingly
• To create an awareness on Engineering Ethics and Human Values
• To understand social responsibility of an engineer
UNIT I INTRODUCTION TO VALUE EDUCATION 6
Value Education - Definition, Concept and Need for Value Education, Basic Guidelines -
The Content and Process of Value Education - Basic Guidelines for Value Education - Self
exploration as a means of Value Education - Happiness and Prosperity as parts of Value
Education.
UNIT II HARMONY IN THE HUMAN BEING 6

B.Tech Information Technology Page 27 of 252

 Human Being is more than just the Body- Harmony of the Self (‘I’) with the Body -
Understanding Myself as Co-existence of the Self and the Body - Understanding Needs of
the Self and the needs of the Body - Understanding the activities in the Self and the activities
in the Body.
UNIT III HARMONY IN THE FAMILY, SOCIETY AND HARMONY IN 6
THE NATURE
Family as a basic unit of Human Interaction and Values in Relationships - The Basics for
Respect and today’s Crisis: Affection, Guidance, Reverence, Glory, Gratitude and Love -
Comprehensive Human Goal: The Five Dimensions of Human Endeavour - Harmony in
Nature: The Four Orders in Nature - The Holistic Perception of Harmony in Existence.
UNIT IV SOCIAL ETHICS 6
The Basics for Ethical Human Conduct - Defects in Ethical Human Conduct - Holistic
Alternative and Universal Order - Universal Human Order and Ethical Conduct - Human
Rights violation and Social Disparities.
UNIT V PROFESSIONAL ETHICS 6
Universal Human Values - Value based Life and Profession - Professional Ethics and Right
Understanding - Competence in Professional Ethics - Issues in Professional Ethics – The
Current Scenario - Vision for Holistic Technologies - Production System and Management
Models.
TOTAL: 30 PERIODS
COURSE OUTCOMES:
At the end of the course, the students will be able to:
Illustrate the significance of value inputs in a classroom and start applying them in
CO1:
their life and profession.
CO2: Explain the role of a human being in ensuring harmony in society and nature.
Demonstrate the value of harmonious relationship based on trust and respect in
CO3:
their life and profession.
Compare values, skills, happiness and accumulation of physical facilities, the Self
CO4:
and the Body, Intention and Competence of an individual, etc.
Classify ethical and unethical practices, and start working out the strategy to
CO5:
actualize a harmonious environment wherever they work.
TEXT BOOKS:
1 R R Gaur, R Sangal, G P Bagaria, “Human Values and Professional Ethics”, Excel
Books, New Delhi, 2010.
2 A.N. Tripathy, “Human Values”, New Age International Publishers, New Delhi,
2004.
REFERENCES:
1. Gaur. R.R., Sangal. R, Bagaria. G.P, “A Foundation Course in Value Education”,
Excel Books, 2009.
2. Gaur. R.R., Sangal. R, Bagaria. G.P, “Teachers Manual” Excel Books, 2009.
3. Gaur R R, R Sangal, G P Bagaria, “A Foundation Course in Human Values and
Professional Ethics”, 2009.
4. William Lilly, “Introduction to Ethic” Allied Publisher.
5. Nagarajan, R.S., Professional Ethics and Human values, New Age International
Publishers, 2006.

B.Tech Information Technology Page 28 of 252

 Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 1 - - - - 2 2 3 1 1 - 1 - - 3
CO2 1 - - - - 2 2 3 1 1 - 1 - - 3
CO3 1 - - - - 2 2 3 1 1 - 1 - - 3
CO4 1 - - - - 2 2 3 1 1 - 1 - - 3
CO5 1 - - - - 2 2 3 1 1 - 1 - - 3
CO 1 - - - - 2 2 3 1 1 - 1 - - 3
3-High, 2- Medium, 1-Low

Table of Specification for End Semester Question Paper

Cognitive Level
Total 2 Total 16 Analyse
Unit No. and Understa
Marks Marks Remembe Apply (An)
Title nd
Qns. Qns. r (Re) (Ap) Evaluate
(Un)
(Ev)
Unit-I:
1either 1either or
Introduction to 2 2(2)-CO1 - -
or (16)-CO1
Value Education
Unit-II:
1either 1either or
Harmony in the 2 2(2)-CO2 - -
or (16)-CO2
Human Being

Unit-III:
Harmony in the 1(2)-CO3
1either
Family, Society 2 1(2)-CO3 1either or - -
or
and Harmony in (16)-CO3
the Nature
Unit-IV: 1either 1either or
2 1(2) - CO4 1(2)-CO4 -
Social Ethics or (16)-CO4
Unit-V:
1either 1either or
Professional 2 1(2)-CO5 1(2)-CO5 -
or (16)-CO5
Ethics
3 (2)
5either 2 either or
Total Qns. 10 7 (2) 3 either or -
or (16)
(16)
Total Marks 20 80 14 54 32
Weightage 20% 80% 14% 54% 32%
Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

B.Tech Information Technology Page 29 of 252

 L T P C
GE3152 HERITAGE OF TAMILS
1 0 0 1
COURSE OBJECTIVES:
• To help students understand the values of Tamil Language, basic language families
in India and types of Tamil literature
• To facilitate the students to understand Tamil heritage of rock arts, paintings and
musical instruments in their economic life
• To facilitate the students in understanding the harmony existing in Tamils martial
arts
• To create an awareness on concept of Thinai Tamils and its values
• To understand the contribution and Influence of Tamils in Indian culture
UNIT I LANGUAGE AND LITERATURE 3
Indian Language Families – Dravidian Languages – Tamil as a Classical Language – Tamil
Monographs – Secularity of Sangha Literature – Virtue of Sharing in Sangha Literature –
Concepts of Management in Thirukkural – Tamil Copies – Influence of Jain Buddhism in
Tamil Nadu – Bhakti Literature – Alvars and Nayanmars – Small Literature – Development
of Modern Literature in Tamil – Contribution of Bharatiyar and Bharathidasan to the
development of Tamil literature.
HERITAGE – ROCK ART PAINTINGS TO MODERN ART –
UNIT II 3
SCULPTURE
Hero stone to modern sculpture – Bronze icons – Tribes and their handicrafts – Art of temple
car making – –Massive Terracotta sculptures, Village deities, Thiruvalluvar Statue at
Kanyakumari, Making of musical instruments – Mridhangam, Parai, Veenai, Yazh and
Nadhaswaram – Role of Temples in Social and Economic Life of Tamils.
UNIT III FOLK AND MARTIAL ARTS 3
Therukoothu, Karagattam – Villu Pattu – Kaniyan Koothu – Oyillattam – Leather puppetry–
Silambattam – Valari – Tiger dance – Sports and Games of Tamils.
UNIT IV THINAI CONCEPT OF TAMILS 3
Flora and Fauna of Tamils & Aham and Puram Concept from Tholkappiyam and Sangam
Literature – Aram Concept of Tamils – Education and Literacy during Sangam Age –
Ancient Cities and Ports of Sangam Age – Export and Import during Sangam Age –
Overseas Conquest of Cholas.
CONTRIBUTION OF TAMILS TO INDIAN NATIONAL
UNIT V 3
MOVEMENT AND INDIAN CULTURE
Contribution of Tamils to Indian Freedom Struggle – The Cultural Influence of Tamils over
the other parts of India – Self–Respect Movement – Role of Siddha Medicine in Indigenous
Systems of Medicine – Inscriptions & Manuscripts – Print History of Tamil Books.
TOTAL: 15 PERIODS
COURSE OUTCOMES:
At the end of the course, the students will be able to:
CO1: Describe the importance of Tamil Language and types of Tamil literature.
CO2: Illustrate their knowledge in rock art paintings to modern art.
CO3: Demonstrate a strong foundational knowledge in martial arts.
CO4: Explain the concept of Thinai Tamils and its values.
CO5: Describe the contribution of Tamils in Indian culture.

B.Tech Information Technology Page 30 of 252

 TEXT & REFERENCE BOOKS:
தமிழக வரலாறு – மக்களும் பண்பாடும் – கக. கக. பிள்ளை (வவளியீடு: தமிழ்நாடு
1.
பாடநூல் மற்றும் கல்வியல் பணிகள் கழகம்.
Dr.K.K.Pillay, Social Life of Tamils, A joint publication of TNTB & ESC and
2.
RMRL.
Dr.S.Singaravelu, “Social Life of the Tamils – The Classical Period”, International
3.
Institute of Tamil Studies.
Dr.S.V.Subatamanian, Dr.K.D. Thirunavukkarasu, “Historical Heritage of the Tamils”,
4.
International Institute of Tamil Studies.
5. Dr.M.Valarmathi, “The Contributions of the Tamils to Indian Culture”, International
Institute of Tamil Studies.
6. Dr.K.K.Pillay, “Studies in the History of India with Special Reference to Tamil Nadu”.

L T P C
GE3152 தமிழர் மரபு
1 0 0 1
COURSE OBJECTIVES:
• தமிழ் வமாழியின் மதிப்புகள், இந்தியாவில் உள்ை அடிப்பளட வமாழிக்குடும்பங்கள் மற்றும்
தமிழ் இலக்கிய வளககளை மாணவர்கள் புரிந்துவகாள்ை உதவுதல்
• மாணவர்கள் பாளை ஓவியங்கள், சிற்பக்களலகள் மற்றும் இளைக்கருவிகளின் வழி தமிழ்
பாரம்பரியத்ளதப் புரிந்துவகாள்ை வைதி வைய்தல்
• தமிழர்களின் களல மற்றும் வீர விளையாட்டுகளைப் புரிந்து வகாள்வதற்கு மாணவர்களுக்கு
உதவுதல்
• தமிழர்களின் திளணக் கருத்துக்கள் மற்றும் அவர்களின் வாழ்க்ளக வநறிகளைப் பற்றி
மாணவர்களுக்கு விழிப்புணர்ளவ ஏற்படுத்துதல்
• இந்திய கலாச்ைாரத்தில் தமிழர்களின் பங்களிப்ளபயும் அதன் தாக்கத்ளதயும் மாணவர்கள்
புரிந்துவகாள்ை வைய்தல்
அலகு I மமொழி மற்றும் இலக்கியம் 3
இந்திய வமாழிக் குடும்பங்கள் – திராவிட வமாழிகள் – தமிழ் ஒரு வைம்வமாழி –
தமிழ் வைவ்விலக்கியங்கள் – ைங்க இலக்கியத்தின் ைமயச்ைார்பற்ை தன்ளம – ைங்க
இலக்கியத்தில் பகிர்தல் அைம் – திருக்குைளில் கமலாண்ளமக் கருத்துக்கள் – தமிழ்க்
காப்பியங்கள், தமிழகத்தில் ைமண வபௌத்த ைமயங்களின் தாக்கம் – பக்தி இலக்கியம்,
ஆழ்வார்கள் மற்றும் நாயன்மார்கள் – சிற்றிலக்கியங்கள் – தமிழில் நவீன இலக்கியத்தின்
வைர்ச்சி – தமிழ் இலக்கிய வைர்ச்சியில் பாரதியார் மற்றும் பாரதிதாைன் ஆகிகயாரின்
பங்களிப்பு.
மரபு – பொறை ஓவியங்கள் முதல் நவீன ஓவியங்கள் வறர –
அலகு II 3
சிற்பக் கறல.
நடுகல் முதல் நவீன சிற்பங்கள் வளர – ஜம்வபான் சிளலகள் – பழங்குடியினர் மற்றும்
அவர்கள் தயாரிக்கும் ளகவிளனப் வபாருட்கள், வபாம்ளமகள் – கதர் வைய்யும் களல – சுடுமண்
சிற்பங்கள் – நாட்டுப்புைத் வதய்வங்கள் – குமரிமுளனயில் திருவள்ளுவர் சிளல – இளைக்
கருவிகள் – மிருதங்கம், பளை, வீளண, யாழ், நாதஸ்வரம் – தமிழர்களின் ைமூக வபாருைாதார
வாழ்வில் ககாவில்களின் பங்கு
அலகு III நொட்டுப்புைக் கறலகள் மற்றும் வீர விறையொட்டுகள் 3
வதருக்கூத்து கரகாட்டம், வில்லுப்பாட்டு, கணியான் கூத்து, ஒயிலாட்டம், கதால்பாளவக்
கூத்து, சிலம்பாட்டம், வைரி, புலியாட்டம், தமிழர்களின் விளையாட்டுக்கள்.
அலகு தமிழர்களின் திறைக் ககொட்பொடுகள். 3

B.Tech Information Technology Page 31 of 252

 IV
தமிழகத்தின் தாவரங்களும் விலங்குகளும் – வதால்காப்பியம் மற்றும் ைங்க இலக்கியத்தில்
அகம் மற்றும் புைக்ககாட்பாடுகள் – தமிழர்கள் கபாற்றிய அைக்ககாட்பாடு –
ைங்ககாலத்தில் தமிழகத்தில் எழுத்தறிவும் கல்வியும், ைங்ககால நகரங்களும் துளை
முகங்களும் – ைங்க காலத்தில் ஏற்றுமதி மற்றும் இைக்குமதி – கடல் கடந்த நாடுகளில்
கைாழர்களின் வவற்றி.
இந்திய கதசிய இயக்கம் மற்றும் இந்திய பண்பொட்டிற்கு
அலகு V தமிழர்களின் பங்களிப்பு 3
இந்திய விடுதளலப்கபாரில் தமிழர்களின் பங்கு – இந்தியாவின் பிைப்பகுதிகளில் தமிழ்ப்
பண்பாட்டின் தாக்கம் – சுயமரியாளத இயக்கம் – இந்திய மருத்துவத்தில் சித்த
மருத்துவத்தின் பங்கு – கல்வவட்டுகள், ளகவயழுத்துப்படிகள் – தமிழ்ப் புத்தகங்களின்
அச்சு வரலாறு.
TOTAL: 15 PERIODS
COURSE OUTCOMES:
இப்பொடத் திட்டத்தின் மூலம் மொைவர்கள் மபறும் பயன்கள்:
CO1: தமிழ் வமாழியின் முக்கியத்துவம் மற்றும் இலக்கிய வளககளை விவரிக்க முடியும்.
பாளை ஓவியங்கள் முதல் நவீன களலகள் வளர அவர்களின் அறிளவ விவரிக்க
CO2: முடியும்.
CO3: தற்காப்புக் களலளின் வலுவான அடித்தை அறிளவ விவரிக்க முடியும்.
CO4: தமிழர்களின் திளணக் கருத்துக்கள் மற்றும் அதன் மதிப்புகளை விைக்க முடியும்.
CO5: இந்திய கலாச்ைாரத்தில் தமிழர்களின் பங்களிப்ளப விவரிக்க இயலும்.
TEXT & REFERENCE BOOKS:
தமிழக வரலாறு – மக்களும் பண்பாடும் – கக. கக. பிள்ளை (வவளியீடு:
1.
தமிழ்நாடு பாடநூல் மற்றும் கல்வியல் பணிகள் கழகம்.
Dr.K.K.Pillay, Social Life of Tamils, A joint publication of TNTB & ESC and
2.
RMRL.
Dr.S.Singaravelu, “Social Life of the Tamils – The Classical Period”, International
3.
Institute of Tamil Studies.
Dr.S.V.Subatamanian, Dr.K.D. Thirunavukkarasu, “Historical Heritage of the Tamils”,
4.
International Institute of Tamil Studies.
5. Dr.M.Valarmathi, “The Contributions of the Tamils to Indian Culture”, International
Institute of Tamil Studies.
6. Dr.K.K.Pillay, “Studies in the History of India with Special Reference to Tamil Nadu”.

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
Outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 – – – – – 1 – – – – – – – – –
CO2 – – – – – 1 – – – – – – – – –
CO3 – – – – – 1 – – – – – – – – –
CO4 – – – – – 1 – – – – – – – – –
CO5 – – – – – 1 – – – – – – – – –
CO – – – – – 1 – – – – – – – – –

B.Tech Information Technology Page 32 of 252

3–High, 2– Medium, 1–Low

Table of Specification for End Semester Question Paper

Cognitive Level
Total 2 Total 16
Unit No. and Title Marks Marks Remember Understand Apply Analyse(An)
Qns. Qns. (Re) (Un) (Ap) Evaluate(Ev)
No. of Qns. (marks) and CO
Unit-I: Language 1 either or
2 1 either or 2(2)-CO1 - -
and Literature (16)- CO1
Unit-II: Heritage -
Rock Art Paintings 1 either or
2 1 either or 2(2)-CO2 - -
to Modern Art – (16)- CO2
Sculpture
1(2)- CO3
Unit-III: Folk and 2 1 either or 1(2)- CO3 1 either or - -
Martial Arts (16)- CO3
1(2)- CO4
Unit-IV: Thinai 2 1 either or 1(2)-CO4 1either or - - .
Concept of Tamils (16)- CO4
Unit-V:
Contribution of 1(2)-CO5
Tamils to Indian 2 1 either or 1(2)-CO5 1either or - -
National Movement (16)- CO5
and Indian Culture
3(2)
Total Qns. 5 either or 7(2) 5 either or - -
10
(16)
Total Marks 20 80 14 86 - -
Weightage 20% 80% 14% 86% - -
Weightage for COs
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

L T P C
EN22101 COMMUNICATIVE ENGLISH
2 0 2 3
COURSE OBJECTIVES:
• To guide the learners on the basics of language including vocabulary and grammar
• To develop the receptive skills of the learners: Reading and Listening
• To develop the productive skills of the learners: Writing and Speaking
• To make the learners realize the importance of accuracy and fluency
• To help the learners use the language in real situations

B.Tech Information Technology Page 33 of 252

 UNIT I VOCABULARY AND LANGUAGE STUDY 6

Vocabulary – Synonyms and Antonyms, Word building – Prefixes and Suffixes – Word
formation- Definitions - One word substitutes - Reading for vocabulary and language
development- Note making and Summarising - Developing Hints.
UNIT II READING AND LANGUAGE DEVELOPMENT 6
Parts of speech, Types of sentences – Statement, Interrogative, Imperative, Exclamatory, Wh-
questions, Yes or No questions and tag questions, Formal Letters – Academic, Official, and
Business Letters
UNIT III GRAMMAR AND LANGUAGE DEVELOPMENT 6
Tense and Voice, Auxiliary verbs (be, do, have), Modal verbs - Types of Reading : Intensive
Reading and Extensive Reading- Strategies: Predicting- Skimming and Scanning -Reading
for facts - Understanding the parts of paragraph- Learning the transitional signals used in the
passage to classify the text
UNIT IV FUNDAMENTALS OF WRITING 6
Punctuation and Capitalization- Sentence formation: Word order-Completion of
sentences-Conjunctions-Transitional signals- sentence and sentence structures- Informal
Letters.
UNIT V EXTENDED WRITING 6
Degrees of Comparison – Reported speech -Paragraph writing-Topic sentence, supporting
sentences and concluding sentence-Informal and Formal expressions
TOTAL : 30 PERIODS
PRACTICAL EXERCISES
Listening (Receptive skill) Intensive Listening: Effective and Attentive Listening
Exercises
1) Listening for gist from recorded speeches
2) Listening for specific information from recorded conversations
3) Listening for strengthening vocabulary skills.
4) Listening to variety of situations and voices- Listening for language development
5) Listening for pronunciation: syllables, stress and intonation.
Speaking (Productive Skill)
Exercises
1) Introducing oneself and others
2) Asking for / giving personal information
3) Practicing dialogues in pairs
4) Giving directions-Informal and formal dialogues
5) Speaking in connected speech
6) Responding to questions
7) Short presentations
8) Speaking in small and big groups
9) Learning and practicing the essential qualities of a good speaker
TOTAL: 30 PERIODS
TOTAL(T+P): 60 PERIODS
COURSE OUTCOMES:

B.Tech Information Technology Page 34 of 252

 At the end of the course, the students will be able to:
CO1: Apply and practice the correct usages of language
CO2: Receive the language effectively and meaningfully through receptive skills
Produce the language appropriate to the needs and situations exercising productive
CO3:
skills
CO4: Transfer or interpret any piece of information with accuracy and fluency
CO5: Apply the language intellectually and confidently
TEXT BOOKS:
1. Shobha. K.N, Rayen, Joavani, Lourdes, “Communicative English”, Cambridge
University Press, 2018.
2. Sudharshana.N.P and Saveetha. C, “English for Technical Communication”, Cambridge
University Press: New Delhi, 2016.
REFERENCES:
1. Kumar, Suresh. E., “Engineering English”, Orient Blackswan, Hyderabad, 2015.
2. Means, L. Thomas and Elaine Langlois, “English & Communication for Colleges”,
Cengage Learning, USA: 2007.
3. Greendaum, Sydney and Quirk, Randolph, “A Student’s Grammar of the English
Language”, Pearson Education.
4. Wood F.T, “Remedial English Grammar”, Macmillan, 2007.
5. Kumar, Sanjay and Pushp Lata, ―Communication Skills: A Workbook‖, New Delhi:
OUP, 2018.

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 - - - - - - - - 1 1 - 2 - - 1
CO2 - - - - - - - - 2 3 - 2 - - 1
CO3 - - - - - - - - 1 1 - 2 - - 1
CO4 - - - - - - - - 2 2 - 2 - - 1
CO5 - - - - - - - - 2 3 - 2 - - 1
CO - - - - - - - - 2 2 - 2 - - 1
3-High, 2- Medium, 1-Low

Table of Specification for End Semester Question Paper

Cognitive Level
Total 2 Total 16 Remember Understand Apply
Unit No. and
Marks Qns. Marks Qns. (Re) (Un) (Ap)
Title
No. of Qns. (marks) and CO
Unit-I: 1 Compulsory
2 1 compulsory 2(2)-CO1 -
Vocabulary and (16)- CO1

B.Tech Information Technology Page 35 of 252

 Language Study
Unit-II:
Reading and 1 either or
2 1 either or 2(2)-CO2 -
Language (16)- CO2
Development
Unit-Ill:
1 either or
Grammar and
2 1 either or 1(2)- CO3 1(2)- CO3 (16)-
Language
CO3
Development
Unit-IV:
1either or
Fundamentals of 2 1 either or 1(2)-CO4 1(2)- CO4
(16)- CO4
Writing
Unit-V: 1 either or
2 1 either or 1(2)-CO5 1(2)-CO5
Extended writing (16)- CO5
3(2)
1 Compulsory 3 either
1 Compulsory
Total Qns. & 7(2) or
10 &1 either
4 either or (16)
or (16)
Total Marks 20 80 14 38 48

Weightage 20% 80% 14% 38% 48%

Weightage for Cos

CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

L T P C
BS22101 PHYSICS AND CHEMISTRY LABORATORY
0 0 4 2
PHYSICS LABORATORY
OBJECTIVES:
• To learn the proper use of various kinds of physics laboratory equipment.
• To learn how data can be collected, presented and interpreted in a clear and concise
manner.
• To learn problem solving skills related to physics principles and interpretation of
experimental data.
• To determine error in experimental measurements and techniques used to minimize
such error.
• To make the student an active participant in each part of all lab exercises.
LIST OF EXPERIMENTS
1. Non-uniform bending – Determination of Young’s modulus.
2. SHM of Cantilever – Determination of Young’s modulus.
3. Poiseuille’s flow – Coefficient of viscosity of liquid
4. Torsional pendulum - Determination of Rigidity modulus.

B.Tech Information Technology Page 36 of 252

 5. Newton’s ring – Radius of curvature of convex lens.
Lee’s Disc – Determination of coefficient of thermal conductivity of bad
6.
conductor.
TOTAL: 30 PERIODS
CHEMISTRY LABORATORY
OBJECTIVES
• To inculcate experimental skills to test basic understanding of water quality
parameters such as, acidity, alkalinity and hardness.
• To induce the students to familiarize with electroanalytical techniques such as, pH
metry, potentiometry and conductometry in the determination of impurities in
aqueous solutions.
LIST OF EXPERIMENTS
1. Determination of total hardness of water by EDTA method.
2. Conductometric titration of strong acid and strong base.
3. Determination of strength of given hydrochloric acid using pH meter.
4. Conductometric precipitation titration using BaCl2 and Na2SO4.
5. Determination of alkalinity in water sample.
6. Estimation of iron content of the given solution using potentiometer.
TOTAL: 30 PERIODS
TOTAL: 60 PERIODS
COURSE OUTCOMES:
At the end of the course, the students will be able to:
Determine different moduli of elasticity used in day to day engineering
CO1:
applications.
CO2: Calculate the viscosity of liquids and radius of curvature of convex lens
CO3: Estimate the coefficient of thermal conductivity of bad conductors
CO4: Determine the water quality parameters of the given water sample.
Analyze quantitatively the metals (Fe, Ni,) in the any sample volumetrically as
CO5:
well as by using spectro analytical methods.

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes
1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 1 - - - - - - 2 1 - 1 2 - -
CO2 3 1 - - - - - - 2 1 - 1 2 - -
CO3 3 1 - - - - - - 2 1 - 1 2 - -
CO4 3 1 - - - 2 2 - 1 - - - 2 - -
CO5 3 1 - - - 2 2 - 1 - - - 2 - -
CO 3 1 - - - 2 2 - 2 1 - 1 2 - -
3-High, 2- Medium, 1-Low

B.Tech Information Technology Page 37 of 252

 L T P C
CS22102 PYTHON PROGRAMMING LABORATORY
0 0 4 2
COURSE OBJECTIVES
• To understand the problem solving approaches
• To learn the basic programming constructs in Python
• To practice various computing strategies for Python-based solutions to real world
problems
• To use Python data structures - lists, tuples, dictionaries
• To do input/output with files in Python
LIST OF EXPERIMENTS
1. Identification and solving of simple real life or scientific or technical problems, and
2. developing algorithmsusing
Python programming and flow charts
simple for the same
statements and expressions
3. Scientific problems using Conditionals and Iterative loops
4. Implementing real-time/technical applications using Lists, Tuples
5. Implementing real-time/technical applications using Sets, Dictionaries
6. Implementing programs using Functions
7. Implementing programs using Strings
8. Implementing real-time/technical applications using File handling
9. Implementing real-time/technical applications using Exception handling
10. Exploring Pygame tool
11. Developing a game activity using Pygame like bouncing ball
TOTAL PERIODS: 60
COURSE OUTCOMES
Upon completion of the course, the students will be able to
CO1: Develop algorithmic solutions to simple computational problems.
CO2: Develop and execute simple Python programs.
CO3: Implement programs in Python using conditionals, loops and functions for
CO4: solving
Process problems.
compound data using Python data structures
CO5: Utilize Python packages in developing software applications

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 P 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 3 2 2 - - - - - - - - 3 - -
CO2 3 2 2 2 - - - - - - - - 3 - -
CO3 3 3 3 3 - - - - - - - - 3 - -
CO4 3 3 3 3 - - - - - - - 1 3 - -
CO5 3 3 3 3 2 - - - - - - 1 3 - -
CO 3 3 3 3 2 - - - - - - 1 3 - -
3-High, 2- Medium, 1-Low

B.Tech Information Technology Page 38 of 252

 L T P C
HS22101 HIGHER ORDER THINKING
1 0 0 1
COURSE OBJECTIVES:
• Teaching the students the sources and dynamics of thinking
• Teaching the students the basics of systematic and scientific thinking
• Initiating the students into critical thinking and to use critical thinking in practical
life
• Initiating students into creative thinking
INTRODUCTION TO COGNITION, KNOWLEDGE AND
UNIT I 3
THINKING
Cognition - Different Cognitive functions - Cognition and intelligence - Cognitive
development: till adolescence and post adolescence - possibility of true knowledge - The
sources of Knowledge. Sensation, perception. Reality of perception - Concept formation,
abstraction. Memory and retrieving - Introduction to thinking and types of thinking.
Systematic thinking
UNIT II LOGIC AND REASONING 3
Commonsense and scientific knowledge. Pursuit of truth.- Syllogistic Logic. Greek and
Indian. -Exercises
UNIT III CRITICAL THINKING SKILLS AND DISPOSITIONS 3
Critical Thinking Skills & Dispositions. Critical Thinking Exercises
UNIT IV ANALYSIS OF ARGUMENTS 3
Propositions and fallacies. - Analyzing arguments. - Exercises.
UNIT V CREATIVE THINKING AND INNOVATIVE THINKING 3
Evolution of Scientific Thinking and Paradigm Shift. - Dynamics of Thoughts: Hegel. -
Convergent thinking and divergent thinking (out of the box thinking). - Problem solving and
Planning.
TOTAL: 15 PERIODS

COURSE OUTCOMES:
At the end of the course, the students will be able to:
CO1: Demonstrate the sources of knowledge and the process of thinking
CO2: Demonstrate critical thinking skills and dispositions of critical thinking
CO3: Confidently engage in creative thinking and problem solving
REFERENCES:
1 Introduction to Logic, Irving M. Copi, Carl Cohen and Kenneth McMahon, Fourteenth
Edition, Pearson Education Limited, 2014.
2 Teaching Thinking Skills: Theory and Practice, Joan Boykoff Baron and Robert J.
Sternberg, W.H. freeman and Company, New York.
3 Cognitive Psychology, Robert J. Sternberg, Third Edition, Thomson Wadsworth, UK

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 2 2 1 - - - - - - - 1 - 3 -
CO2 3 2 2 1 - - - - - - - 1 - 3 -

B.Tech Information Technology Page 39 of 252

 CO3 3 2 2 1 - - 1 - 1 - 1 1 - 3 -
CO 3 2 2 1 - - 2 - 2 - 1 1 - 3 -
3-High, 2- Medium, 1-Low

Table of Specification for End Semester Question Paper

Total Total Cognitive Level
Unit No. and 2 16
Remember Understand Apply Analyse(An)
Title Marks Marks
(Re) (Un) (Ap) Evaluate(Ev)
Qns. Qns.
Unit-I:
Introduction
1either 1either or
to Cognition, 2 2(2)-CO1 - -
or (16)-CO1
Knowledge
and Thinking
Unit-II:
1either 1either or
Logic and 2 2(2)-CO1 - -
or (16)-CO1
Reasoning
Unit-III:
Critical 1either 1either or
2 2(2)-CO2 - -
Thinking Skills or (16)-CO2
and Dispositions
Unit-IV:
Analysis of 1either 1either or
2 2(2)-CO2 - -
Arguments or (16)-CO2
Unit-V:
Creative
1either 1either or
Thinking and 2 2(2)-CO3 - -
or (16)-CO3
Innovative
Thinking
Total Qns. 5 either 4 either or 1 either
10 10 (2)
or (16) or (16)

Total Marks 20 80 20 64 16

Weightage 20% 80% 20% 64% 16%

Weightage for Cos
CO1 CO2 CO3
Total Marks 40 40 20
Weightage 40% 40% 20%

B.Tech Information Technology Page 40 of 252

 SEMESTER II

L T P C
MA22201 STATISTICS AND NUMERICAL METHODS
3 1 0 4
COURSE OBJECTIVES:
• To provide the necessary basic concepts of a few statistical and numerical methods and
give procedures for solving numerically different kinds of problems occurring in
engineering and technology.
• To acquaint the knowledge of testing of hypothesis for small and large samples which
plays an important role in real life problems.
• To introduce the basic concepts of solving algebraic and transcendental equations.
• To introduce the numerical techniques of interpolation in various intervals and
numerical techniques of differentiation and integration which plays an important role
in engineering and technology disciplines.
• To acquaint the knowledge of various numerical methods of solving ordinary
differential equations.
UNIT I TESTING OF HYPOTHESIS 12
Statistical hypothesis -Type I and Type II errors - Large sample tests based on Normal
distribution for single mean and difference of means -Tests based on t distribution for single
mean and equality of means - Test based on F distribution for equality of variances - Chi
square test for single variance and goodness of fit - Independence of attributes - Contingency
table : Analysis of r × c tables.
UNIT II DESIGN OF EXPERIMENTS 12
General principles – Analysis of variance (ANOVA) - One way classification - Completely
randomized design (CRD) – Two way classification - Randomized block design (RBD) –
Three way classification -Latin square design(LSD) – Two factor experiments: 22 factorial
design
UNIT III NUMERICAL SOLUTION OF EQUATIONS 12
Solution of algebraic and transcendental equations - Fixed point iteration method – Newton
Raphson method - Solution of linear system of equations - Gauss elimination method - Gauss
Jordan method – Iterative methods of Gauss Jacobi and Gauss Seidel .
UNIT IV INTERPOLATION, NUMERICAL DIFFERENTIATION AND 12
INTEGRATION
Newton’s forward and backward interpolation – Interpolation with unequal intervals -
Lagrange’s interpolation- Divided differences - Newton’s divided difference - Approximation
of derivates using interpolation polynomials – Numerical integration using Trapezoidal and
Simpson’s 1/3, 3/8 rules- Numerical double integration: Trapezoidal and Simpson’s rules.
UNIT V NUMERICAL SOLUTION OF ORDINARY DIFFERENTIAL 12
EQUATIONS

B.Tech Information Technology Page 41 of 252

 Single step methods : Taylor’s series method - Euler’s method - Modified Euler’s method -
Fourth order Runge-Kutta method for solving first order equations - Multi step methods :
Milne’s and Adams - Bash forth predictor corrector methods for solving first order equations.
TOTAL: 60 PERIODS
COURSE OUTCOMES:
At the end of the course, the students will be able to:
Define the basic concepts of statistical tests, ANOVA, iterative methods,
CO1:
interpolations and ODE.
CO2: Discuss the techniques of statistical tests and design of experiments.
Explain the solution of equations, ODE, single and multistep methods,
CO3:
interpolations, differentiation and integration.
CO4: Apply the concept of testing of hypothesis and design of experiment in real life.
Apply numerical techniques in system of equations, differential equations,
CO5:
interpolation, differentiation and integration.
TEXT BOOKS:
Grewal. B.S. and Grewal. J.S., “Numerical Methods in Engineering and Science ",
1.
10th Edition, Khanna Publishers, New Delhi, 2015.
Johnson, R.A., Miller, I and Freund J., “Miller and Freund’s Probability and
2.
Statistics for Engineers", Pearson Education, Asia, 9th Edition, 2016.
REFERENCES:
Burden, R.L and Faires, J.D, "Numerical Analysis”, 9th Edition, Cengage Learning,
1.
2016.
Devore. J.L., "Probability and Statistics for Engineering and the Sciences”, Cengage
2.
Learning, New Delhi, 8th Edition, 2014.
Gerald. C.F. and Wheatley. P.O. "Applied Numerical Analysis” Pearson Education,
3.
Asia, New Delhi, 2006.
Spiegel. M.R., Schiller. J. and Srinivasan. R.A., "Schaum’s Outlines on Probability
4.
and Statistics, 4th Edition, Tata McGraw Hill Edition, 2012.
Walpole. R.E., Myers. R.H., Myers. S.L. and Ye. K., “Probability and Statistics for
5.
Engineers and Scientists", 9th Edition, Pearson Education, Asia, 2012.

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 2 - - - - - - - - - 1 2 - -
CO2 3 2 - - - - - - - - - 1 2 - -
CO3 3 2 - - - - - - - - - 1 2 - -
CO4 3 2 - - - - - - - - - 1 2 - -
CO5 3 2 - - - - - - - - - 1 2 - -
CO 3 2 - - - - - - - - - 1 2 - -
3-High, 2- Medium, 1-Low

B.Tech Information Technology Page 42 of 252

 Table of Specifications for End Semester Question Paper

Cognitive Level
Total
Total 2 Analyse
16
Unit No. and Title Marks Remem Underst Apply (An)
Marks
Qns. ber (Re) and (Un) (Ap) Evaluate
Qns.
(Ev)
Unit-I: 1 either 1(2)- 1(2)- 1either or
Testing of hypothesis 2 -
or CO1 CO2 (16)-CO4
Unit-II:
1 either 2(2)- 1either or
Design of 2 - -
or CO1 (16)-CO4
experiments
Unit-III:
1 either 1(2)- 1(2)- 1either or
Numerical solution 2 -
or CO1 CO3 (16)-CO5
of equations
Unit-IV:
Interpolation, 1(2)-
1 either 1(2)- 1either or
Numerical 2 CO3 -
or CO1 (16)-CO5
differentiation and
integration
Unit-V:
1(2)- 1(2)-
Numerical solution 1 either 1either or
2 CO1 CO3 -
of ordinary or (16)-CO5
differential equations
5 either 5 either or
Total Qns. 10 6(2) 4(2) -
or (16)

Total Marks 20 80 12 8 80 -

Weightage 20% 80% 12% 8% 80% -

Weightage for Cos

CO1 CO2 CO3 CO4 CO5

Total Marks 12 2 6 32 48

Weightage 12% 2% 6% 32% 48%

B.Tech Information Technology Page 43 of 252

 BASIC ELECTRICAL AND ELECTRONICS L T P C
ES22202
ENGINEERING 3 0 0 3
COURSE OBJECTIVES
• To introduce the basic circuit components
• To educate on the working principles and applications of electrical machines
• To explain the construction and working of semiconductor devices
• To educate on logic gates, flip flops and registers
• To introduce the functional elements and working of measuring instruments

UNIT I INTRODUCTION TO ELECTRICAL ENGINEERING 9

Introduction-Conductors, semiconductors and Insulators-Electrostatics – Electric Current-
Electromotive Force-Electric Power- Ohm’s Law-Basic circuit components-
Electromagnetism related laws-Kirchhoff’s Laws.
UNIT II ELECTRICAL MACHINES 9
Construction, working principle and types of DC Generator – Motor- single phase
Transformer - single phase and three phase Induction motor -Applications.
UNIT III ANALOG ELECTRONICS 9
Classification of Semiconductors– Construction, Characteristics and working -PN Junction
Diode- Zener Diode - Bipolar Junction Transistor-IGBT- SCR- MOSFET.
UNIT IV DIGITAL ELECTRONICS 9
Review of number systems, binary codes- Boolean Algebra-Logic gates -Implementation of
Boolean expression using K-map –Types of flip flops, Registers.
UNIT V MEASUREMENTS AND INSTRUMENTATION 9
Functional elements of an instrument –Static and dynamic characteristics of instruments,
Errors, Principles of electrical indicating instruments- Types of indicating instruments -
Moving Coil and Moving Iron instruments- DSO -Transducers-Resistive Transducers.
TOTAL PERIODS: 45

COURSE OUTCOMES

After completing this course, the students will be able to

CO1: Apply the basic laws to determine circuit parameters.

CO2: Explain the construction, working and application of electrical machines.
CO3: Explain the construction and working of semiconductor devices.
CO4: Interpret the function of combinational and sequential circuits

B.Tech Information Technology Page 44 of 252

 CO5: Interpret the operating principles of measuring instruments.

TEXT BOOKS
M .S.Sukhja ,T.K.Nagsarkar “Basic Electrical and Electronics Engineering” Oxford
1
Higher Education First Edition ,2018.
S. Salivahanan, R.Rengaraj “Basic Electrical and Instrumentation Engineering”
2
McGraw Hill Education ,First Edition,2019.
REFERENCES
Kothari DP and I.J Nagrath, “Basic Electrical Engineering”, Fourth Edition, McGraw
1
HillEducation, 2019.
2 H.S. Kalsi, ‘Electronic Instrumentation’, Tata McGraw-Hill, New Delhi, 2010.
V. K. Mehta, Rohit Mehta “Basic Electrical Engineering”, S.Chand & Company Pvt.
3
Ltd, New Delhi, 2012.
4 S.K.Sahdev, Basic of Electrical Engineering, Pearson, 2015
B.L Theraja, Fundamentals of Electrical Engineering and Electronics. Chand & Co,
5
2008.

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 2 2 - - - 1 - - - - - 1 - 2 -
CO2 2 - - - - 1 - - - - - 1 - 2 -
CO3 2 - - - - 1 - - - - - 1 - 2 -
CO4 2 - - - - 1 - - - - - 1 - 2 -
CO5 2 - - - - 1 - - - - - 1 - 2 -
CO 2 2 - - - 1 - - - - - 1 - 2 -
3-High, 2- Medium, 1-Low

Table of Specification for End Semester Question Paper

Total 16 Cognitive Level

Unit No. and
Marks
Title Remember Understand Apply Analyse (An)
Qus.
(Re) (Un) (Ap) Evaluate(Ev)
Unit-I:
Introduction to 1either 1either or
2(2)-CO1 - -
Electrical or (16)-CO1
Engineering

B.Tech Information Technology Page 45 of 252

 Unit-II:
1either 1either or
Electrical 2(2)-CO2 - -
or (16)-CO2
Machines

Unit-III:
1either 1either or
Analog 2(2)-CO3 - -
or (16)-CO3
Electronics

Unit-IV:
1either 1either or
Digital 2(2)-CO4 - -
or (16)-CO4
Electronics
Unit-V:
Measurements 1either 1either or
2(2)-CO5 - -
and or (16)-CO5
Instrumentation
5either 4 either or 1 either or
Total Qns. Title 10(2) -
or (16) (16)
Total Marks 80 20 64 16 -
Weightage 80% 20% 64% 16% -
Weightage for Cos
CO1 Weightage for COs
CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

L T P C
CS22201 PROGRAMMING IN C
3 0 0 3
COURSE OBJECTIVES
• To develop C Programs using basic programming constructs.
• To develop C programs using arrays and strings.
• To develop applications in C using functions, pointers and structures.
• To do input/output and file handling in C.
UNIT I BASICS OF C PROGRAMMING 9
Introduction to C programming - Applications of C Language - Structure of C program – C
programming: Tokens - Character Set – Keywords – Identifiers - Data Types – Variables –
Constants - Storage Classes - Operators and Expressions - Precedence and Associativity –
Input / Output statements - Assignment statements - Conditional Branching Statements -
Iterative Statements - Nested Loops - Break and Continue Statements- goto Statement
UNIT II ARRAYS AND POINTERS 9
Introduction to Arrays: One Dimensional Arrays - Declaration of Arrays - Storing Values in
Arrays - Accessing the Elements of an Array – Searching Algorithms (Linear Search, Binary
Search) - Two Dimensional Arrays - Pointers - Pointer Arithmetic - Array of Pointers -
Pointer to Array - Void and Null Pointers.

B.Tech Information Technology Page 46 of 252

 UNIT III STRINGS AND FUNCTIONS 9
Functions – Classification of Functions – Strings - String Library Functions – User Defined
Functions: Function Declaration/Function Prototype - Function Definition - Function Call -
Return Statement - Passing Parameters to Functions (Pass by value, Pass by reference) -
Recursion - Sorting Algorithms (Selection Sort, Insertion Sort).
UNIT IV STRUCTURES AND UNION 9
Structure - Nested Structures - Array of Structures – Structures and Functions - Pointer to
Structure - typedef - Dynamic Memory Allocation - Self-referential structures: Singly
Linked List - Union.
UNIT V FILE PROCESSING 9
Files – Types of Files – File Handling Functions - Sequential Access File Processing -
Random Access File Processing - Command Line Arguments - Preprocessor Directives.
TOTAL PERIODS: 45

COURSE OUTCOMES
Upon completion of the course, the students will be able to
CO1: Explore simple applications in C using basic programming constructs.

CO2: Develop C programs using arrays and strings.

CO3: Develop modular programs in C using functions and pointers.

CO4: Build applications in C using structures.

CO5: Demonstrate applications using sequential and random-access file processing.

TEXT BOOKS

1. ReemaThareja, “Programming in C”, Oxford University Press, Second Edition, 2016.

Anita Goel and Ajay Mittal, “Computer Fundamentals and Programming in C”, 1st
2.
Edition, Pearson Education, 2013.
REFERENCES
Paul Deitel and Harvey Deitel, “C How to Program with an Introduction to C++”,
1
Eighth edition, Pearson Education, 2018.

2 Yashwant Kanetkar, “Let us C”, 17th Edition, BPB Publications, 2020.

Pradip Dey, Manas Ghosh, “Computer Fundamentals and Programming in C”,

3
Second Edition, Oxford University Press, 2013.
Kernighan, B.W and Ritchie,D.M, “The C Programming language”, Second Edition,
4
Pearson Education, 2015.
E. Balagurusamy , “Programming in ANSI C”, McGraw Hill Education; Eighth
5 edition:2019, ISBN: 978-9351343202 .

B.Tech Information Technology Page 47 of 252

 Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 3 3 3 - - - - - - - - 3 - -
CO2 3 3 3 3 - - - - - - - - 3 - -
CO3 3 3 3 3 - - - - - - - - 3 - -
CO4 3 3 3 3 - - - - - - - - 3 - -
CO5 3 3 3 3 - - - - - - - - 3 - -
CO 3 3 3 3 - - - - - - - - 3 - -
3-High, 2- Medium, 1-Low

Table of Specifications for End Semester Question Paper

Cognitive Level
Total
Total 2 Analyse
16
Unit No. and Title Marks Remem Understand Apply (An)
Marks
Qns. ber (Re) (Un) (Ap) Evaluate
Qns.
(Ev)
Unit-I: 1(2),
1 either 1(2)- 1 either
Basics of C 2 or - -
or CO1
Programming (16)-CO1
Unit-II: 1 either
1 either 1(2)- 1(2), 1 or
Arrays and 2 either or (8)- (8)- -
or CO2 CO2
Pointers CO2
Unit-III: 1
1 either 1(2)- 1(2), 1 either either
Strings and 2 or (8)- C03 or (8) -
or C03
Functions - C03
Unit-IV: 1
1 either 1(2)- 1(2), 1 either either
Structures and 2 or or (8) - .
Union
or CO4 (8)-CO4 –
CO4
1
Unit-V: 1 either 1(2)- 1(2), 1 either either
2 or (8)-CO5 or (8) -
File Processing or CO5
- C05
5(2), 1
5 either either or 4
Total Qns. 1(8), 1 -
10 or 5(2) either
either Or
1(16) or (8)
Total Marks 20 80 10 58 32 -
Weightage 20% 80% 14% 58% 32% -
Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%
B.Tech Information Technology Page 48 of 252
 L T P C
ME22201 ENGINEERING GRAPHICS
2 0 2 3
COURSE OBJECTIVES
The main learning objective of this course is to prepare the students for:
• To draw the engineering curves.
• To draw orthographic projection of points and lines.
• To draw orthographic projection of solids and section of solids.
• To draw the development of surfaces.
• To draw the isometric projections of simple solids and freehand sketch of simple
objects.
CONCEPTS AND CONVENTIONS (Not for Examination)
Importance of graphics in engineering applications - Use of drafting instruments - BIS
conventions and specifications — Size, layout and folding of drawing sheets — Lettering
and dimensioning.
UNIT I PLANE CURVES 12
Basic Geometrical constructions, Curves used in engineering practices: Conics —
Construction of ellipse, parabola and hyperbola by eccentricity method — construction of
involutes of square and circle — Drawing of tangents and normal to the above curves.
UNIT II PROJECTION OF POINTS, LINES AND PLANES 12
Orthographic projection- principles-Principal planes-First angle projection-projection of
points. Projection of straight lines (only First angle projections) inclined to both the principal
planes - Determination of true lengths and true inclinations by rotating line method and traces
Projection of planes (polygonal and circular surfaces) inclined to any one principal plane.
UNIT III PROJECTION OF SOLIDS 12
Projection of simple solids like prisms, pyramids, cylinder and cone when the axis is inclined
to any one of the principal planes by rotating object method.
UNIT IV SECTION OF SOLIDS AND DEVELOPMENT OF SURFACES 12
Sectioning of solids (Prisms, pyramids cylinders and cones) in simple vertical position when
the cutting plane is inclined to the one of the principal planes and perpendicular to the other
— obtaining true shape of section. Development of lateral surfaces of simple and sectioned
solids — Prisms, pyramids cylinders and cones.
UNIT V ISOMETRIC PROJECTIONS AND FREEHAND SKETCHING 12
Principles of isometric projection — isometric scale - isometric projections of simple solids
and truncated solids - Prisms, pyramids & cylinders, in simple vertical positions.
Representation of Three Dimensional objects — Layout of views- Freehand sketching of
multiple views from pictorial views of objects.
Practicing three dimensional modeling of projection of simple objects by CAD Software
(Demonstration purpose only).
TOTAL PERIODS: 60

B.Tech Information Technology Page 49 of 252

 COURSE OUTCOMES

At the end of the course the students will be able to

Recall the existing national standards and interpret a given three dimensional
CO1:
drawing.
Understand graphics as the basic communication and methodology of the design
CO2:
process.
CO3: Acquire visualization skills through the concept of projection.

CO4: Develop the sectioned solids and discover its true shape.
Develop imagination of physical objects to be represented on paper for engineering
CO5:
communication.
TEXT BOOKS

Natrajan K.V., “A Text Book of Engineering Graphics”, Dhanalakshmi Publishers,

1.
Chennai, 2018.
Jeyapoovan T., “ENGINEERING GRAPHICS using AutoCAD”, Vikas Publishing
2.
House, 7th Edition, 2015.

REFERENCES:

Venugopal K. and Prabhu Raja V., “Engineering Graphics", New Age International
1.
(P) Limited, 2008.
Julyes Jai Singh S., “Engineering Graphics”, SRM tri sea publishers, Nagercoil,7th
2.
Edition,2015.
Bhatt N.D. and Panchal V.M., “Engineering Drawing”, Charotar Publishing House,
3.
53rd Edition, 2019.
Gopalakrishna K.R., “Engineering Drawing” (Vol. I&II combined), Subhas
4.
Publications, Bangalore, 27th Edition, 2017.
Luzzader, Warren.J. and Duff,John M., “Fundamentals of Engineering Drawing
5. with an introduction to Interactive Computer Graphics for Design and Production,
Eastern Economy Edition, Prentice Hall of India Pvt. Ltd, New Delhi, 2005.

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 1 - - - - - - - 2 - - - 2 -
CO2 3 1 - - - - - - - 2 - - - 2 -
CO3 3 1 - - - - - - - - - - - 2 -
CO4 3 1 - - - - - - - 2 - - - 2 -

B.Tech Information Technology Page 50 of 252

 CO5 3 1 - - - - - - - 2 - - - 2 -
CO 3 1 - - - - - - - 2 - - - 2 -
3-High, 2- Medium, 1-Low

Table of Specification for End Semester Question Paper

Total Cognitive Level

Unit No. and 20
Title Marks Remember Understand Apply Analyse (An)
Qus. (Re) (Un) (Ap) Evaluate(Ev)
Unit-I: 1either 1either or
- - -
Plane Curves or (20)-CO1

Unit-II:
Projection of 1either 1either or
- - -
Points, Lines or (20)-CO2
and Planes
Unit-III:
1either 1either or
Projection of - - -
or (20)-CO3
Solids
Unit-IV:
Section of
1either 1either or
Solids and - - -
or (20)-CO4
Development
o f Surfaces

Unit-V:
Isometric
1either 1either or
Projections - - -
or (20)-CO5
and Freehand
Sketching

Total Qns. 5either 2 either or 3 either or

- -
Title or (20) (20)
Total Marks 100 - 40 60 -
Weightage 100% - 40% 60% -
Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

B.Tech Information Technology Page 51 of 252

 L T P C
GE3252 TAMILS AND TECHNOLOGY
1 0 0 1
COURSE OBJECTIVES:
• To facilitate the students to understand weaving and ceramic technology of sangam
age
• To create an awareness on structural design of Tamils during sangam age
• To help students to distinguish between all the levels of manufacturing technology in
ancient period
• To understand the ancient Knowledge of agriculture and irrigation technology
• To enable the students to understand the digitalization of Tamil language
UNIT I WEAVING AND CERAMIC TECHNOLOGY 3
Weaving Industry during Sangam Age – Ceramic technology – Black and Red Ware Potteries
(BRW) – Graffiti on Potteries.
UNIT II DESIGN AND CONSTRUCTION TECHNOLOGY 3
Designing and Structural construction House & Designs in household materials during
Sangam Age – Building materials and Hero stones of Sangam age – Details of Stage
Constructions in Silappathikaram – Sculptures and Temples of Mamallapuram – Great
Temples of Cholas and other worship places – Temples of Nayaka Period – Type study
(Madurai Meenakshi Temple)– Thirumalai Nayakar Mahal – Chetti Nadu Houses, Indo –
Saracenic architecture at Madras during British Period.
UNIT III MANUFACTURING TECHNOLOGY 3
Art of Ship Building – Metallurgical studies – Iron industry – Iron smelting, steel –Copper
and gold– Coins as source of history – Minting of Coins – Beads making–industries Stone
beads –Glass beads – Terracotta beads –Shell beads/ bone beats – Archeological evidences –
Gem stone types described in Silappathikaram.
UNIT IV AGRICULTURE AND IRRIGATION TECHNOLOGY 3
Dam, Tank, ponds, Sluice, Significance of Kumizhi Thoompu of Chola Period, Animal
Husbandry – Wells designed for cattle use – Agriculture and Agro Processing – Knowledge
of Sea – Fisheries – Pearl – Conche diving – Ancient Knowledge of Ocean – Knowledge
Specific Society.
UNIT V SCIENTIFIC TAMIL & TAMIL COMPUTING 3
Development of Scientific Tamil – Tamil computing – Digitalization of Tamil Books –
Development of Tamil Software – Tamil Virtual Academy – Tamil Digital Library – Online
Tamil Dictionaries – Sorkuvai Project.
TOTAL: 15 PERIODS
COURSE OUTCOMES:
At the end of the course, the students will be able to:
CO1: Describe the importance of weaving and ceramic technology of sangam age.
CO2: Illustrate the knowledge on structural design of Tamils during sangam age.
Demonstrate a strong foundational knowledge in manufacturing technology of
CO3:
ancient Tamils.
Describe the importance of ancient agriculture and irrigation technology of
CO4:
Tamils.
CO5: Explain the concept of digitalization of Tamil language.
TEXT & REFERENCE BOOKS:

B.Tech Information Technology Page 52 of 252

 1. கணிணித்தமிழ் – முளனவர் இல. சுந்தரம். (விகடன் பிரசுரம்)
கீழடி – ளவளக நதிக்கரயில் ைங்ககால நகர நாகரீகம் (வதால்லியல் துளை
2. வவளியீடு) / Keeladi – ‘Sangam City Civilization on the banks of river Vaigai’,
Department of Archaeology & Tamil Nadu Text Book and Educational Services
Corporation, Tamil Nadu.
வபாருளந – ஆற்ைங்களர நாகரீகம். (வதால்லியல் துளை வவளியீடு ) / “Porunai
3. Civilization”, Department of Archaeology & Tamil Nadu Text Book and Educational
Services Corporation, Tamil Nadu.
Dr.K.K.Pillay, Social Life of Tamils, A joint publication of TNTB & ESC and
4.
RMRL.
Dr.S.Singaravelu, “Social Life of the Tamils – The Classical Period”, International
5.
Institute of Tamil Studies.
6. R.Balakrishnan, “Journey of Civilization Indus to Vaigai”, RMRL.

L T P C
GE3252 தமிழரும் மதொழில்நுட்பமும்
1 0 0 1
COURSE OBJECTIVES:
• ைங்க காலத்தின் வநைவு மற்றும் பீங்கான் வதாழில் நுட்பத்ளத மாணவர்கள்
புரிந்துவகாள்ை வைதி வைய்தல்
• ைங்க காலத் தமிழர்களின் வடிவளமப்பு வதாழில்நுட்பம் பற்றிய விழிப்புணர்ளவ
ஏற்படுத்துதல்
• பண்ளடய கால உற்பத்தி வதாழில்நுட்பத்தின் அளனத்து நிளலகளையும் கவறுபடுத்தி
அறிய மாணவர்களுக்கு உதவுதல்
• விவைாயம் மற்றும் நீர்ப்பாைன வதாழில்நுட்பத்தின் பண்ளடய அறிளவப் புரிந்துக்
வகாள்ை வைய்தல்
• தமிழ் வமாழியின் டிஜிட்டல் மயமாக்கல் பற்றிப் புரிந்துக் வகாள்ை வைய்தல்
அலகு I மநசவு மற்றும் பொறனத் மதொழில்நுட்பம் 3
ைங்க காலத்தில் வநைவுத் வதாழில் – பாளனத் வதாழில்நுட்பம் – கருப்பு சிவப்பு பாண்டங்கள் –
பாண்டங்களில் கீைல் குறியீடுகள்.
அலகு II வடிவறமப்பு மற்றும் கட்டிடத் மதொழில்நுட்பம் 3
ைங்க காலத்தில் வடிவளமப்பு மற்றும் கட்டுமானங்கள் & ைங்க காலத்தில் வீட்டுப்
வபாருட்களில் வடிவளமப்பு – ைங்க காலத்தில் கட்டுமான வபாருட்களும் நடுகல்லும் –
சிலப்பதிகாரத்தில் கமளட அளமப்பு பற்றிய விவரங்கள் – மாமல்லபுரச் சிற்பங்களும்,
ககாவில்களும் – கைாழர் காலத்து வபருங்ககாயில்கள் மற்றும் பிை வழிபாட்டுத் தலங்கள் –
நாயக்கர் காலக் ககாவில்கள் – மாதிரி கட்டளமப்புகள் பற்றி அறிதல், மதுளர மீனாட்சி அம்மன்
ஆலயம் மற்றும் திருமளல நாயக்கர் மஹால் – வைட்டிநாட்டு வீடுகள் – பிரிட்டிஷ்; காலத்தில்
வைன்ளனயில் இந்கதா – ைாகராவைனிக் கட்டிடக் களல.
அலகு III உற்பத்தித் மதொழில் நுட்பம; 3
கப்பல் கட்டும் களல – உகலாகவியல் – இரும்புத் வதாழிற்ைாளல – இரும்ளப உருக்குதல்,
எஃகு – வரலாற்றுச் ைான்றுகைாக வைம்பு மற்றும் தங்க நாணயங்கள் – நாணயங்கள் அச்ைடித்தல்
– மணி உருவாக்கும் வதாழிற்ைாளலகள் – கல்மணிகள்– கண்ணாடி மணிகள் – சுடுமண் மணிகள்
– ைங்கு மணிகள் – எலும்புத்துண்டுகள் – வதால்லியல் ைான்றுகள் – சிலப்பதிகாரத்தில்
மணிகளின் வளககள்.
அலகு IV கவைொண்றம மற்றும் நீர்பொசனத் மதொழில்நுட்பம; 3

B.Tech Information Technology Page 53 of 252

 அளண, ஏரி, குைங்கை, மதகு – கைாழர்காலக் குமுழித் தூம்பின் முக்கியத்துவம் –
கால்நளட பராமரிப்பு – கால்நளடகளுக்கான வடிவளமக்கபட்ட கிணறுகள் –
கவைாண்ளம மற்றும் கவைாண்ளமச் ைார்ந்த வையல்பாடுகள் – கடல்ைார் அறிவு –
மீன்வைம் – முத்து மற்றும் முத்துக்குளித்தல் – வபருங்கடல் குறித்த பண்ளடய அறிவு –
அறிவுைார் ைமூகம்.
அலகு V அறிவியல் தமிழ் மற்றும் கணினித்தமிழ் 3
அறிவியல் தமிழின் வைர்ச்சி – கணினித்தமிழ் வைர்ச்சி – தமிழ் நூல்களை மின்பதிப்பு
வைய்தல் – தமிழ் வமன்வபாருட்கள் உருவாக்கம் – தமிழ் இளணயக் கல்விக்கழகம் –
தமிழ் மின் நூலகம் – இளணயத்தில் தமிழ் அகராதிகள் – வைாற்குளவத் திட்டம்.
TOTAL: 15 PERIODS
COURSE OUTCOMES:
இப்பொடத் திட்டத்தின் மூலம் மொைவர்கள் மபறும் பயன்கள்:
ைங்க காலத்தின் வநைவு மற்றும் பீங்கான் வதாழில் நுட்பத்தின் முக்கியத்துவத்ளத
CO1: விவரிக்க முடியும்.
ைங்க காலத் தமிழர்களின் வடிவளமப்பு வதாழில்நுட்பம் பற்றிய அறிளவ விைக்க
CO2: முடியும்.
பண்ளடய தமிழர்களின் உற்பத்தி வதாழில்நுட்பம் பற்றிய வலுவான அடித்தை
CO3:
அறிளவ வவளிப்படுத்த முடியும்.
தமிழர்களின் விவைாயம் மற்றும் நீர்ப்பாைன வதாழில்நுட்பத்தின் பண்ளடய அறிளவ
CO4: விவரிக்க முடியும்.
CO5: தமிழ் வமாழியின் டிஜிட்டல் மயமாக்கல் பற்றிய கருத்ளத விைக்க முடியும்.
TEXT & REFERENCE BOOKS:
1. கணிணித்தமிழ் – முளனவர் இல. சுந்தரம். (விகடன் பிரசுரம்).
கீழடி – ளவளக நதிக்கரயில் ைங்ககால நகர நாகரீகம் (வதால்லியல் துளை
2. வவளியீடு) / Keeladi – ‘Sangam City Civilization on the banks of river Vaigai’,
Department of Archaeology & Tamil Nadu Text Book and Educational Services
Corporation, Tamil Nadu.
வபாருளந – ஆற்ைங்களர நாகரீகம். (வதால்லியல் துளை வவளியீடு ) / “Porunai
3. Civilization”, Department of Archaeology & Tamil Nadu Text Book and Educational
Services Corporation, Tamil Nadu.
Dr.K.K.Pillay, Social Life of Tamils, A joint publication of TNTB & ESC and
4.
RMRL.
Dr.S.Singaravelu, “Social Life of the Tamils – The Classical Period”, International
5.
Institute of Tamil Studies.
6. R.Balakrishnan, “Journey of Civilization Indus to Vaigai”, RMRL.

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
Outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 – – – – – 1 1 – – – – – – – –
CO2 – – – – – 1 1 – – – – – – – –
CO3 – – – – – 1 1 – – – – – – – –
CO4 – – – – – 1 1 – – – – – – – –
CO5 – – – – – 1 1 – – – – – – – –

B.Tech Information Technology Page 54 of 252

 Course PO PSO
Outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO – – – – – 1 1 – – – – – – – –
3–High, 2– Medium, 1–Low

Table of Specification for End Semester Question Paper

Cognitive Level
Total 2 Total 16
Unit No. and Title Marks Marks Remember Understand Apply Analyse(An)
Qns. Qns. (Re) (Un) (Ap) Evaluate(Ev)
No. of Qns. (marks) and CO
Unit-I: Weaving and 1 either or
2 1 either or 2(2)-CO1 - -
Ceramic Technology (16)- CO1
Unit-II: Design and 1 either or
Construction 2 1 either or 2(2)-CO2 - -
(16)- CO2
Technology
Unit-III: 1(2)- CO3
Manufacturing 2 1 either or 1(2)- CO3 1 either or - -
Technology (16)- CO3
Unit-IV: Agriculture 1(2)- CO4
and Irrigation 2 1 either or 1(2)-CO4 1either or - - .
Technology (16)- CO4
Unit-V: Scientific 1(2)-CO5
Tamil & Tamil 2 1 either or 1(2)-CO5 1either or - -
Computing (16)- CO5
3(2)
Total Qns. 5 either or 7(2) 5 either or - -
10
(16)
Total Marks 20 80 14 86 - -
Weightage 20% 80% 14% 86% - -
Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

B.Tech Information Technology Page 55 of 252

 L T P C
EN22201 TECHNICAL ENGLISH
2 0 2 3
COURSE OBJECTIVES:
• To widen strategies and skills to augment ability to read and comprehend engineering
and technology texts.
• To develop writing skill to make technical presentations.
• To draft convincing job applications and effective reports.
• To strengthen listening skills to comprehend technical lectures and talks in their areas
of specialization.
• To cultivate speaking skills both technical and general.
UNIT I LANGUAGE STUDY 12
Technical Vocabulary- synonyms, antonyms, prefix and suffix, word formation, Homonyms
and Homophones - puzzles- Reading: skimming a reading passage – scanning for specific
information- Instruction- Interpreting – Writing: Recommendation- Checklist.

UNIT II READING AND STUDY SKILLS 6

Active and Passive voice- Extended Definitions- Imperatives- Numerical Adjectives- Purpose
Statement – Reading: Critical reading- Newspaper articles- journal reports- editorials and
opinion blogs - Report Writing: Fire Accident, Industrial visit, Project report, feasibility report,
survey report, business report.

UNIT III WRITING SKILLS- INTRODUCTION TO PROFESSIONAL 6

WRITING
Error Spotting/Common Errors- Concord-Compound words- Abbreviations and Acronyms-
Discourse Markers - Finding key information – shifting facts from opinion- interpreting visual
material- making inference from the reading passage - Interpretation of charts- - Minutes of the
meeting- Paraphrasing- Proposal writing.
UNIT IV TECHNICAL WRITING AND GRAMMAR 6
If Conditional Clauses- Prepositional Phrases- Fixed and semi fixed expressions- -e-mail
communication- reading the attachment files having a poem /joke / proverb/sending their
responses through e-mail.- Job application letter and Resume/CV/ Bio-data.
UNIT V EXTENDED WRITING AND LANGUAGE STUDY 6
Articles- Cause and Effect expressions- Collocations- Sequencing words- Reading longer
technical texts and taking down notes- Structure of Essay- Types of Essay: Narrative essay-
Descriptive Essay- Analytical Essay- Cause and Effect Essay – Compare and contrast essays.
TOTAL – 30 PERIODS
PRACTICAL EXERCISES
Listening Skills – Listening for professional Development
Listening to UPSC Toppers Mock Interviews- Listening to debates/discussions/different
viewpoints /scientific lectures/event narrations/documentaries/telephonic conversations
Speaking Skills –emphasizing communicative establishment

B.Tech Information Technology Page 56 of 252

 Seeking Information -asking and giving directions- narrating personal experiences/ events-
answering interview questions- picture description- presenting a product and giving instruction
to use a product – mini presentations-role plays- speaking in formal and informal situations-
speaking about one’s locations - speaking about great personalities –describing a simple
process- telephone skills and etiquette
TOTAL: 30 PERIODS
TOTAL (T+P) = 60 PERIODS
COURSE OUTCOMES:
At the end of the course, the students will be able to:
Infer advanced technical texts from varied technical genres to expand engineering
CO1:
knowledge and explore more ideas.
Analyze technical contents written on par with international standards and rewrite
CO2: contents using the right vocabulary without grammatical errors to make their articles
published in reputed journals.
Present reports and job letters utilizing the required format prescribed on par with
CO3: international standards using the exact vocabulary to make their works worthy to be
read .
Employ the language tones and styles appropriately in interviews and Group
CO4:
Discussions effortlessly following the strategies expected by the corporate world
Appraise the need for new products and write feasibility and survey reports following
CO5:
the format prescribed in a way to create awareness.
TEXT BOOKS:
1. Mike Markrl, “ Technical Communication”, Palgrave Macmillan, London, 2012.
Sumant,S and Joyce Pereira, “Technical English II”, Chennai: Vijay Nicole Imprints
2.
Private Limited, 2014.
REFERENCES:
1. Raman, Meenakshi & Sangeetha Sharma, “Communication Skills”, New Delhi:
OUP, 2018.
2. Rizvi M, Ashraf, “ Effective Technical Communication”, New Delhi: Tata McGraw-
Hill Publishing Company Limited, 2007.
3. Kumar, Sanjay and Pushp Lata, “Communication Skills: A Workbook”, New Delhi:
OUP, 2018.
4. Means, L. Thomas and Elaine Langlois, ―English & Communication for Colleges‖,
Cengage Learning, USA: 2007. 5. Greendaum, Sydney and Quirk.
5. Greendaum, Sydney and Quirk, Randolph, ―A Student‘s Grammar of the English
Language‖, Pearson Education.

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 - - - - - - - - - 3 - 2 - - 1

B.Tech Information Technology Page 57 of 252

 CO2 - - - - - - - - 2 3 - 2 - - 1
CO3 - - - - - - - - 2 3 - 2 - - 1
CO4 - - - - - - - - 2 3 - 2 - - 1
CO5 - - - - - - - - 2 3 - 2 - - 1
CO - - - - - - - - 2 3 - 2 - - 1
3-High, 2- Medium, 1-Low

Table of Specification for End Semester Question Paper

Cognitive Level
Total 2
Total 16 Remember Understand Apply
Unit No. and Marks
Marks Qns. (Re) (Un) (Ap)
Title Qns.
No. of Qns. (marks) and CO
1(2)-CO1
Unit-I: 1
2 1(2)-CO1 1Compulsory -
Language Study compulsory
(16)- CO1
Unit-II:
1 either or
Reading and Study 2 1 either or 2(2)-CO2 -
(16)- CO2
Skills
Unit-Ill: 1 either or (16)-
2 1 either or 1(2)- CO3 1(2)- CO3
Writing Skills CO3
Unit-IV:
1either or
Technical Writing 2 1 either or 1(2)-CO4 1(2)- CO4
(16)- CO4
and Grammar
Unit-V:
Extended Writing 1 either or
2 1 either or 1(2)-CO5 1(2)-CO5
and Language (16)- CO5
Study
1 4(2)
Compulsory 1 Compulsory 3 either or
Total Qns. 6(2)
10 & &1 either (16)
4 either or or (16)
Total Marks 20 80 12 40 48
Weightage 20% 80% 12% 40% 48%
Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20

Weightage 20% 20% 20% 20%

20%

B.Tech Information Technology Page 58 of 252

 PHYSICS FOR INFORMATION SCIENCE L T P C
PH22203
2 0 2 3
COURSE OBJECTIVES:
• To understand the concepts of light, electron transport properties and the essential
principles of semiconductors.
• To become proficient in magnetic properties of materials and the functioning of
optical devices.
• To know the basics of quantum structures and Single electron transistor.
• To induce the students to design new devices that serve humanity by applying the
knowledge gained during the course.
UNIT I PHOTONICS 6
Interference – Air wedge – LASER – population inversion - Einstein coefficient’s –NdYAG
Laser - CO2 laser – semiconductor laser – Optical fibre – Total internal reflection –
propagation of light – Numerical Aperture and Acceptance angle – Fiber optic
communication system – Endoscopy.

UNIT II ELECTRICAL PROPERTIES OF MATERIALS 6

Classical free electron theory - Expression for electrical conductivity and Thermal
conductivity, Wiedemann-Franz law – Success and failures - Fermi- Dirac statistics –
Density of energy states – Electron in periodic potential – Band theory of solids - Electron
effective mass – concept of hole.
UNIT III SEMICONDUCTING MATERIALS 6
Semiconductors –direct and indirect band gap semiconductors – Intrinsic semiconductors
Carrier concentration, band gap in intrinsic semiconductors – extrinsic semiconductors - N-
type & P-type semiconductors – Variation of carrier concentration and Fermi level with
temperature - Hall effect - measurement of Hall coefficient – applications
UNIT IV MAGNETIC PROPERTIES OF MATERIALS 6
Magnetic dipole moment – atomic magnetic moment, permeability, susceptibility-
Magnetic material classification: diamagnetism, paramagnetism, ferromagnetism,
antiferromagnetism, ferrimagnetism – Domain Theory- B-H curve – Hard and soft
magnetic materials – Magnetic storage devices: Magnetic hard disc with GMR sensor
UNIT V OPTOELECTRONIC AND NANODEVICES 6
Carrier generation and recombination processes - Photo diode – solar cell - Organic LED –
Optical data storage - Quantum confinement – Quantum structures - single electron
phenomena and single electron transistor - Quantum dot laser
TOTAL: 30 PERIODS
COURSE OUTCOMES:
At the end of the course, the students will be able to:

B.Tech Information Technology Page 59 of 252

 Relate the concepts of light, electron transport properties of conductors and basic
CO1:
principles of semiconductors.
Define the magnetic properties of materials and the principles of optoelectronic
CO2:
and nano devices.
Illustrate laser and fiber optics, classical and quantum concepts of conducting
CO3:
materials, physics of semiconducting materials.
Summarize the functioning of various magnetic, optoelectronic and nano
CO4:
devices.
Demonstrate the concepts of optics, fibre optics, moduli of elasticity and thermal
CO5: energy, behavior of conductors, semiconductors and functioning of magnetic,
optical and nano devices in various engineering applications.
TEXT BOOKS:
1. Gaur, R.K & Gupta.S.L, Engineering Physics, Dhanpat Rai Publishers, 2016.
Kasap,S.O. Principles of Electronic Materials and Devices, McGraw-Hill
2.
Education, 2017.
REFERENCES:
1. Jasprit Singh, Semiconductor Devices: Basic Principles, Wiley 2012.
2. Kittel, C. Introduction to Solid State Physics. Wiley, 2017.
3. Garcia,N. & Damask, A. Physics for Computer Science Students, Springer-
Verlag, 2012.
4. Hanson, G.W. ―Fundamentals of Nanoelectronics, Pearson Education, 2009.
5. Rogers, B., Adams, J. & Pennathur, S. Nanotechnology: Understanding Small
Systems, CRC Press, 2014.

LIST OF EXPERIMENTS
1. Uniform bending – Determination of Young’s modulus
2. Air-wedge – Thickness of thin wire
3. Spectrometer – Grating
4. LASER – Wavelength and particle size determination
5. Optical fibre – Acceptance angle and Numerical aperture
6. Band gap determination
TOTAL: 30 PERIODS
TOTAL (T+P) = 60 PERIODS

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 2 1 - - - - - - - - - 1 2 - -
CO2 2 1 - - - - - - - - - 1 2 - -
CO3 2 1 - - - - - - - - - 1 2 - -
CO4 2 1 - - - - - - - - - 1 2 - -

B.Tech Information Technology Page 60 of 252

 CO5 3 3 - - - - - - 2 1 - 1 2 - -
CO 2 1 - - - - - - 2 1 - 1 2 - -
3-High, 2- Medium, 1-Low

Table of Specifications for End Semester Question Paper

Cognitive Level
Analyse
Total 2 Total 16 (An)
Unit No. and Title Marks Marks Remember Understand Apply
Evaluat
Qns. Qns. (Re) (Un) (Ap)
e
(Ev)
No. of Qns. (marks) and CO
Unit-I: 1 either 1 either or
2 1(2)-CO1 1(2)-CO3 -
Photonics or (16)- CO5
Unit-II: 1(2)- CO3
1 either
Electrical Properties 2 1(2)-CO1 1 either or - -
or
of Materials (16)- CO3
Unit-III:
1 either 1 either or
Semiconducting 2 2(2)- CO1 - -
or (16)- CO5
Materials
Unit-IV: 1 (2)- CO4
1 either
Magnetic Properties 2 1(2)-CO2 1either or - - .
or
of Materials (16)- CO4
Unit-V:
1 either 1 either or
Optoelectronic and 2 2(2)-CO2 - -
or (16)- CO5
Nanodevices
3(2) 3 either
5 either
Total Qns. 7(2) 2 either or or -
10 or
(16) (16)
Total Marks 20 80 14 38 48 -

Weightage 20% 80% 14% 38% 48% -

Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 8 6 20 18 48
Weightage 8% 6% 20% 18% 48%

B.Tech Information Technology Page 61 of 252

 CH22201 L T P C
ENVIRONMENT AND SUSTAINABILITY
2 0 2 3
COURSE OBJECTIVES:
• To understand the concept of ecosystem and biodiversity.
• To conversant with various types of pollution and its effects.
• To obtain knowledge on natural resources and its exploitation.
• To understand the social issues related to environment and methods to protect.
• To gain knowledge on sustainability and environment.
UNIT I ECOSYSTEM AND BIODIVERSITY 6
Environment – Ecosytem – Structure and function of an ecosystem – Energy flow in an
ecosystem – Food chain and food web –.Biodiversity – Types – Values, threats and
conservation of biodiversity – Endangered and endemic species – Hot spot of biodiversity –
Biodiversity at state level, national level and global level.
UNIT II NATURAL RESOURCES 6
Introduction – Forest resources – Uses and Overexploitation - Deforestation – causes and
consequences – Water resources – effect of over utilisation of water – Food resources –
Impacts of modern agriculture (pesticides, fertilizers, water logging, salinity) – Sustainable
Energy resources – Wind, Solar, hydroelectric power, geothermal – Land resources –
Desertification, soil erosion – Role of an individual in the conservation of natural resources.
Case study – Deforestation, water conflicts, fertilizer and pesticide problem.
UNIT III ENVIRONMENTAL POLLUTION AND MANAGEMENT 7
Definition, causes, effects and control measures of air pollution, water pollution, noise
pollution, thermal pollution and marine pollution – Waste water treatment - Waste
management – solid waste, bio waste, e-waste - Disaster management – Flood, cyclone,
earthquake
UNIT IV SOCIAL ISSUES AND HUMAN HEALTH 6
Population explosion and its effects on environment –– variation of population among
nations - Environmental issues and Human health – Food adulteration – Risk of food
adulteration – Detection and prevention of food adulteration - COVID-19 – Human rights –
Value education
UNIT V SUSTAINABLE DEVELOPMENT AND ENVIRONMENT 5
Sustainable development – needs and challenges –– Goals – Aspects of sustainable
development – Assessment of sustainability - Environmental ethics – Green chemistry –
Eco mark, Eco products – EIA – Regional and local environmental issues and possible
solutions - Role of engineering in environment and human health
TOTAL: 30PERIODS
COURSE OUTCOMES:
At the end of the course, the students will be able to:
CO1: Recall the basic concepts of environment and sustainable development.
CO2: Summarize the types of pollution, various natural resources and food adulterants.

B.Tech Information Technology Page 62 of 252

 CO3: Explain the methods for waste management and detection of adulterants.
Apply the gained knowledge to overcome various issues related to health and
CO4:
environment.
CO5: Identify suitable methods for local environmental issues and sustainability.
TEXT BOOKS:
Benny Joseph, “Environmental Science and Engineering”, Tata McGraw Hill, New
1.
Delhi, 2017.
Gilbert M. Masters, “Introduction to Environmental Engineering and Science”,
2.
2ndEdition, Pearson Education, 2015.
REFERENCES:
1. Erach Bharucha, “Text book of Environmental studies” Universities Press (I) PVT
LTD, Hyderabad, 2015.
2. Rajagopalan. R, “Environmental Studies - From Crisis to Cure”, Oxford University
Press, 2015.
3. G. Tyler Miller and Scott E. Spoolman, ―”Environmental Science”, Cengage
Learning India PVT LTD, 2014.
4. Ruth F. Weiner and Robin A. Matthews. Butterworth, ―Environmental
Engineering‖, Heineman Publications, 4th Edition
5. Dash M.C, ―Concepts of Environmental Management for Sustainable
Development‖, Wiley Publications, 2019.

EXPERIMENTS
1. Determination of DO content of waste water sample (Winkler’s method).
2. Determination of chloride content of water sample by Argentometric method
3. Estimation of copper content in water by Iodometry.
4. Determination of Ca / Mg in waste water sample
5. Detection of adulterant in ghee/edible oil/coconut oil.
6. Detection of adulterant in sugar/honey/chilli powder.
TOTAL:30 PERIODS
TOTAL (T+P) = 60 PERIODS

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 - - - - - 3 - 1 1 - 1 - - 2
CO2 3 - - - - - 3 - 1 1 - 1 - - 2
CO3 3 - - - - - 3 - 1 1 - 1 - - 2
CO4 3 - - - - - 3 - 1 1 - 1 - - 2
CO5 3 - - - - - 3 - 1 1 - 1 - - 2
CO 3 - - - - - 3 - 1 1 - 1 - - 2
3-High, 2- Medium, 1-Low

B.Tech Information Technology Page 63 of 252

 Table of Specification for End Semester Question Paper
Cognitive Level
Total 2 Total 16 Analyse
Marks Marks Remember Understand Apply (An)
Unit No. and Title (Re) (Un) (Ap) Evaluate
Qns. Qns.
(Ev)
No. of Qns. (marks) and CO
Unit-I:
1 either 1 either or
Ecosystem and 2 1(2)-CO1 1(2)-CO2 -
or (16)- CO4
Biodiversity
Unit-II: 1 either 1 either or
2 1(2)-CO1 1(2)- CO2 -
Natural Resources or (16)- CO4
Unit-III: 1(2)- CO2
Environmental 1 either 1(2)- CO3
2 - - -
Pollution and or 1 either or
Management (16)- CO3
Unit-IV: 1 either or
1 either 1(2)- CO2
Social Issues and 2 - (16)- - .
or 1(2)- CO3
Human Health CO4
Unit-V:
1 either or
Sustainable 1 either
2 2(2)-CO1 - (16)- -
Development and or
CO5
Environment
6 (2)
5 either 4 either
Total Qns. 4 (2) 1 either -
10 or or (16)
or (16)
Total Marks 20 80 8 28 64 -
Weightage 20% 80% 8% 28% 64% -
Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 8 8 20 48 16
Weightage 8% 8% 20% 48% 16%

L T P C
CS22202 C PROGRAMMING LABORATORY
0 0 4 2
COURSE OBJECTIVES
• To familiarize with C programming constructs.
• To develop programs in C using basic constructs.
• To develop programs in C using arrays.
• To develop applications in C using strings, pointers, functions.
• To develop applications in C using structures.
• To develop applications in C using file processing.
LIST OF EXPERIMENTS
1. I/O statements – Operators

B.Tech Information Technology Page 64 of 252

 2. Decision-making constructs.
3. Loops Statements.
4. Arrays: 1-Dimensional and 2 -Dimensional Arrays
5. Strings and its Operations
6. User Defined Functions
7. Recursive Functions.
8. Pointers
9. Structures and Union
10. File Handling and Pre-Processor Directives
11. Command Line Arguments.

TOTAL PERIODS: 60
COURSE OUTCOMES
Upon completion of the course, the students will be able to
Demonstrate the knowledge on writing, compiling and debugging the C
CO1: program.
CO2: Develop programs in C using basic constructs.
CO3: Develop programs in C using arrays.
CO4: Develop applications in C using strings, pointers, functions.
CO5: Develop applications in C using structures and file processing.

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 3 3 3 - - - - - - - - 3 - -
CO2 3 3 3 3 - - - - - - - - 3 - -
CO3 3 3 3 3 - - - - - - - - 3 - -
CO4 3 3 3 3 - - - - - - - - 3 - -
CO5 3 3 3 3 - - - - - - - - 3 - -
CO 3 3 3 3 - - - - - - - - 3 - -
3-High, 2- Medium, 1-Low

B.Tech Information Technology Page 65 of 252

 L T P C
ES22203 ENGINEERING PRACTICES LABORATORY
0 0 4 2

COURSE OBJECTIVES

The main learning objective of this course is to prepare the students for

• Drawing pipe line plan; laying and connecting various pipe fittings used in common
household plumbing work; Sawing; planning; making joints in wood materials used in
commonhousehold wood work.

• Wiring various electrical joints in common household electrical wire work.

• Welding various joints in steel plates using arc welding work; Machining various
simple processes like turning, drilling, tapping in parts; Assembling simple mechanical
assembly of common household equipment; Making a tray out of metal sheet using
sheet metal work.
• Soldering and testing simple electronic circuits; Assembling and testing simple
electronic components on PCB.
GROUP - A (CIVIL & MECHANICAL)

PART I CIVIL ENGINEERING PRACTICES 15

❖ Connecting various basic pipe fittings like valves, taps, coupling,
unions, reducers,elbows and other components which are commonly
used in household.
❖ Preparing plumbing line sketches.
PLUMBING
WORK ❖ Laying pipe connection to the suction side of a pump

❖ Laying pipe connection to the delivery side of a pump.

❖ Connecting pipes of different materials: Metal, plastic and
flexible pipes used inhousehold appliances.
❖ Sawing
WOOD ❖ Planning and
WORK
❖ Making joints like T-Joint, Mortise joint and Tenon joint and
Dovetail joint.
PART II MECHANICAL ENGINEERING PRACTICES 15
WELDING ❖ Welding of Butt Joints, Lap Joints, and Tee Joints using arc welding.
WORK ❖ Practicing gas welding.
BASIC ❖ Perform turning operation in the given work piece.
MACHINING ❖ Perform drilling operation in the given work piece.
WORK ❖ Performing tapping operation in the given work piece.

B.Tech Information Technology Page 66 of 252

ASSEMBLY ❖ Assembling a centrifugal pump.
WORK ❖ Assembling a household mixer.
SHEET ❖ Making of a square tray
METAL
WORK
GROUP - B (ELECTRICAL AND ELECTRONICS)

PART-I ELECTRICAL ENGINEERING PRACTICES 15

❖ One lamp controlled by one switch.

❖ Series and parallel wiring.
❖ Staircase wiring.
❖ Fluorescent Lamp wiring.
❖ Residential wiring
❖ Iron Box wiring and assembly.
PART-II ELECTRONIC ENGINEERING PRACTICES 15
❖ Introduction to electronic components and equipment’s
❖ Calculation of resistance using colour coding
❖ Verify the logic gates AND, OR, EX-OR and NOT.
❖ Measurement of AC signal parameters using CRO
❖ Soldering simple electronic circuits on a small PCB and checking continuity.

TOTAL PERIOD: 60

COURSE OUTCOMES
At the end of the course the students will be able to
CO1: Prepare various pipe and furniture fittings used in common household.
Perform the given metal joining and metal removal operation in the given work piece
CO2:
as per the dimensions.
CO3: Apply the fundamental concepts involved in Electrical Engineering.
CO4: Explain the basic electrical wiring procedures.
CO5: Assemble basic electronic components.

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 - - - - - - - 3 1 - 1 - - 1
CO2 3 - - - - - - - 3 1 - 1 - - 1

B.Tech Information Technology Page 67 of 252

 CO3 3 - - - - - - - 3 1 - 1 - - 1
CO4 2 - - - - - - - 3 1 - 1 - - 1
CO5 3 - - - - - - - 3 1 - 1 - - 1
CO 3 - - - - - - - 3 1 - 1 - - 1
3-High, 2- Medium, 1-Low

SEMESTER III

L T P C
MA22302 DISCRETE MATHEMATICS
3 1 0 4
COURSE OBJECTIVES:
• To introduce Propositional Logic and their rules for validity of statements.
• To introduce Predicates Calculus for validating arguments and programs.
• To give the counting principles for solving combinatorial problems.
• To introduce abstract notion of Algebraic structures for studying cryptography
and its related areas.
• To introduce Boolean algebra as a special algebraic structure for understanding
logical circuit problems.
UNIT I PROPOSITIONAL CALCULUS 12
Propositions and notations- Propositional logic – Propositions and truth tables –
Propositional equivalences – Conditional propositions – Converse, Contrapositive and
Inverse-Tautologies and Contradictions –Normal Forms - Theory of Inference for the
statement calculus (Validity using Truth Tables).
UNIT II PREDICATE CALCULUS 12
Predicates –Statement function - Variables and Quantifiers – Nested quantifiers –
Predicate formulae –Valid formulas and equivalences –Theory of Inference for the
Predicate Calculus - Introduction to proofs – Proof methods and strategy.
UNIT III COMBINATORICS 12
Mathematical induction – The pigeonhole principle - Permutations and Combinations
– Recurrence relations – Solving linear recurrence relations - Inclusion and exclusion
principle(without proof) and its applications.
UNIT IV ALGEBRAIC STRUCTURES 12
Algebraic systems – Semi groups and Monoids – Groups – Subgroups – Cosets –
Lagrange’s theorem – Definition: Rings and Fields – Problems on integer modulo n.
UNIT V LATTICES AND BOOLEAN ALGEBRA 12
Relations - Equivalence Relation and Partition - Partial order Relations – Partially
Ordered Sets – Representation for Partially Ordered Sets - Hasse diagram - Lattices
as Partially Ordered Sets (Definition and Examples)– Boolean algebra ( Definition and
Examples).
TOTAL: 60 PERIODS
COURSE OUTCOMES:
At the end of the course, the students will be able to:
CO1: Construct truth tables and their rules for validity of statements.
CO2: Apply the rules for validating arguments and programs.
CO3: Establish the counting principles and recurrence relations.

B.Tech Information Technology Page 68 of 252

 Apply the concepts and properties of groups and rings in the area of coding
CO4:
theory.
CO5: Develop the significance of relations and boolean algebra.
TEXT BOOKS:
Tremblay J.P. and Manohar R, "Discrete Mathematical Structures with
1. Applications to Computer Science", Tata McGraw Hill Pub. Co. Ltd, New Delhi,
30th Reprint, 2011.
Kenneth H.Rosen, "Discrete Mathematics and its Applications", Seventh Edition,
2.
Tata McGraw Hill Pub. Co. Ltd., New Delhi, Special Indian Edition, 2018.
REFERENCES:
1. Swapan Kumar Sarkar, “Discrete Mathematics”, S.Chand & Company Ltd.,New
Delhi, 2008.
2. David Makinson, “Sets, Logics and Maths for Computing”, Springer Indian
Reprint, 2011.
3. Ralph.P.Grimaldi, “Discrete and Combinatorial Mathematics: An Applied
Introduction”, 4th Edition, Pearson Education Asia, Delhi, 2007.
4. Seymour Lipschutz and Mark Lipson., "Discrete Mathematics", Schaum’s
Outlines, Tata McGraw Hill Pub. Co. Ltd., New Delhi, Third Edition, 2010.
5. Sengadir.T. "Discrete Mathematics and Combinatorics”, Pearson Education,
New Delhi, 2009.

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 2 - - - - - - - - - - 3 - -
CO2 3 2 - - - - - - - - - - 3 - -
CO3 3 2 - - - - - - - - - - 3 - -
CO4 3 2 - - - - - - - - - - 3 - -
CO5 3 2 - - - - - - - - - - 3 - -
CO 3 2 - - - - - - - - - - 3 - -
3-High, 2- Medium, 1-Low
Table of Specification for End Semester Question Paper
Total 2 Total 16 Cognitive Level
Unit No. and Title Marks Marks Remember Understand Apply Analyse
Qns. Qns. (Re) (Un) (Ap) (An)
Evaluat
e(Ev)
No. of Qns. (marks) and CO
Unit-I: 2 1 either or 1(2)-CO1 1(2)-CO1 1 either or -
Propositional Calculus (16)- CO1
Unit-II: 2 1 either or 1(2)-CO2 1(2)-CO2 1 either or -
Predicate Calculus (16)- CO2
Unit-III: 2 1 either or 1(2)- CO3 1(2)- CO3 1 either or -
Combinatorics (16)- CO3

B.Tech Information Technology Page 69 of 252

Unit-IV: 2 1 either or 1(2)-CO4 1(2)- CO4 1either or - .
Algebraic Structures (16)- CO4
Unit-V: 2 1 either or - 2(2)-CO5 1 either or -
Lattices and boolean (16)- CO5
algebra
Total Qns. 5 either or 4(2) 6(2) 5 either -
10 or
(16)
Total Marks 20 80 8 12 80 -
Weightage 20% 80% 8% 12% 80% -
Weightage for
Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

L T P C
IT22301 COMPUTER ARCHITECTURE
3 0 0 3
COURSE OBJECTIVES
• To learn the basic structure and operations of a computer.
• To learn the arithmetic and logic unit and implementation of fixed-point and floating point
arithmetic unit.
• To learn the basics of pipelined execution.
• To understand parallelism and multi-core processors.
• To understand the memory hierarchies, cache memories and virtual memories and to learn the
different ways of communication with I/O devices.
BASIC STRUCTURE OF A COMPUTER
UNIT I 9
SYSTEM
Functional Units – Basic Operational Concepts – Performance – Instructions and
Instruction sequencing – Logical operations – decision making – MIPS Addressing.
UNIT II ARITHMETIC FOR COMPUTERS 9
Addition and Subtraction – Multiplication – Division – Floating Point Representation – Floating
Point Operations – Subword Parallelism.
UNIT III PROCESSOR AND CONTROL UNIT 9
Pipelining – Pipelined datapath and control – Handling Data Hazards & Control Hazards –
Exceptions.
UNIT IV PARALLELISIM 9
Parallel processing challenges – Flynn‘s classification – SISD, MIMD, SIMD, SPMD, and Vector
Architectures - Hardware multithreading – Multi-core processors and other Shared Memory
Multiprocessors - Introduction to Graphics Processing Units, Clusters, Warehouse Scale Computers
and other Message-Passing Multiprocessors.
UNIT V MEMORY & I/O SYSTEMS 9

B.Tech Information Technology Page 70 of 252

 Memory Hierarchy - memory technologies – Cache memories – Performance Considerations
– virtual memories– Accessing I/O Devices – Interrupts – Direct Memory Access – Buses –
Standard I/O Interfaces –Interface circuits
TOTAL PERIODS: 45
COURSE OUTCOMES
Upon completion of the course, students will be able to
CO1: Explain the functional units of digital computer, instruction formats and the operation
of a digital computer
CO2: Solve the fixed point and floating-point arithmetic for ALU operation.
CO3: Demonstrate the working of processor and control units with and without pipeline.
CO4: Apply multithreading, multiprocessing and parallel processing architectures.
Illustrate the organization of different memory systems, parallel processing
CO5:
architectures, I/O processors and its communication.
TEXT BOOKS
David A. Patterson and John L. Hennessy, Computer Organization and Design:
1. The Hardware/Software Interface, Fifth Edition, Morgan Kaufmann / Elsevier,
2014.
Carl Hamacher, Zvonko Vranesic, Safwat Zaky and Naraig Manjikian, Computer
2.
Organization and Embedded Systems, Sixth Edition, Tata McGraw Hill, 2012.
REFERENCE BOOKS
William Stallings, Computer Organization and Architecture – Designing for
1.
Performance, Eighth Edition, Pearson Education, 2010.
John P. Hayes, Computer Architecture and Organization, Third Edition, Tata McGraw
2.
Hill, 2012.
John L. Hennessey and David A. Patterson, Computer Architecture – A Quantitative
3.
Approach, Morgan Kaufmann / Elsevier Publishers, Fifth Edition, 2012.
Govindarajalu, “Computer Architecture and Organization, Design Principles and
4.
Applications",Second edition, McGraw-Hill Education India Pvt Ltd, 2014.
Miles J. Murdocca and Vincent P. Heuring, “Computer Architecture and Organization:
5.
An Integrated approach”, Second edition, Wiley India Pvt Ltd, 2015.

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 2 2 - - - - - - - - - 3 - -
CO2 3 3 3 - - - - - - - - - 3 - -
CO3 3 2 3 - - - - - - - - - 3 - -
CO4 3 3 3 - - - - - - - - - 3 - -
CO5 3 3 2 - - - - - - - - - 3 - -
CO 3 3 3 - - - - - - - - - 3 - -
3-High, 2- Medium, 1-Low

B.Tech Information Technology Page 71 of 252

 Table of Specifications for End Semester Question Paper

Cognitive Level
Total Total
2 16 Analyse
Unit No. and Title
Mark Marks Remem Understan Apply (An)
s Qns. Qns. ber (Re) d (Un) (Ap) Evaluat
e (Ev)
Unit-I: -
Basic Structure of a 1 either or
2 1 either or 2(2)- CO1 -
Computer (16)-CO1
System
-
Unit-II: Arithmetic for 1 either or
2 1 either or 1(2)-CO2 1(2)-CO2
Computers (16)-CO2

Unit-III: Processor 1 either or -

2 1either or 2(2)-C03
and Control Unit (16)-C03
1 either or - .
Unit-IV: Parallelism 2 1either or 1(2)-CO4 1(2)-CO4
(16)-CO4
Unit-V: 1(2)-CO5 -
Memory & I/O 2 1either or 1(2)-CO5 11either or
Systems (16)-CO5
2either
Total Qns. 10 5 either or 7(2) 3(2) 3 either -
or (16)
or (16)
Total Marks 20 80 14 54 32 -

Weightage 20% 80% 14% 54% 32% -

Weightage for Cos

CO1 CO2 CO3 CO4 CO5

Total Marks 20 20 20 20 20

Weightage 20% 20% 20% 20% 20%

L T P C
IT22302 DIGITAL SYSTEMS
3 0 0 3
COURSE OBJECTIVES
• To apply the fundamentals of the number system, binary codes, logic gates,
Karnaugh, Map and memory system.
• To design combinational logic circuits.
• To design synchronous sequential logic circuits.
• To design asynchronous sequential logic circuits.
• To understand the memory and programmable logic.
UNIT I BOOLEAN ALGEBRA AND LOGIC GATES 9

B.Tech Information Technology Page 72 of 252

 Number Systems – Arithmetic Operations – Binary Codes- Boolean Algebra and Logic
Gates – Theorems and Properties of Boolean Algebra – Boolean Functions – Canonical
and Standard Forms – Simplification of Boolean Functions using Karnaugh Map – Logic
Gates – NAND and NOR Implementations.
UNIT II COMBINATIONAL LOGIC 9
Combinational Circuits – Analysis and Design Procedures – Binary Adder-Subtractor –
Decimal Adder – Binary Multiplier – Magnitude Comparator – Decoders – Encoders –
Multiplexers.
UNIT III SYNCHRONOUS SEQUENTIAL LOGIC 9
Sequential Circuits – Storage Elements: Flip-Flops – Analysis of Clocked Sequential
Circuits – State Reduction and Assignment – Design Procedure – Registers and Counters.
UNIT IV ASYNCHRONOUS SEQUENTIAL LOGIC 9
Analysis and Design of Asynchronous Sequential Circuits – Reduction of State and Flow
Tables – Race-free State Assignment – Hazards.
UNIT V MEMORY AND PROGRAMMABLE LOGIC 9
RAM – Memory Decoding – Error Detection and Correction – ROM – Programmable
Logic Array – Programmable Array Logic – Sequential Programmable Devices.
TOTAL PERIODS: 45
COURSE OUTCOMES
Upon completion of the course, students will be able to
Apply the fundamentals of number system, binary codes, logic gates,
CO1:
Karnaugh Map and memory system.
CO2: Design combinational logic circuits.
CO3: Design synchronous sequential logic circuits.
CO4: Design asynchronous sequential logic circuits.
CO5: Design memory arrays using programmable logic devices.
TEXT BOOKS
M. Morris R. Mano, Michael D. Ciletti, ”Digital Design: With an
1. Introduction to the Verilog HDL, VHDL and System Verilog”, 6th Edition,
Pearson Education, 2018.
John M. Yarbrough, “Digital logic applications and design”, Thomson
2.
publications, 2nd Edition, 2006.
REFERENCES:
1. G. K. Kharate, “Digital Electronics”, Oxford University Press, 2010.
John F. Wakerly, Digital Design Principles and Practices, Fifth Edition,
2.
Pearson Education, 2017.
Charles H. Roth Jr, Larry L. Kinney, Fundamentals of Logic Design, Sixth
3.
Edition, CENGAGE Learning, 2013.
Donald D. Givone, Digital Principles and Design, Tata Mc Graw Hill,
4.
2003
Digital Systems, Principles and Applications Twelfth Edition, Neal S
5.
Widmer, Greg Moss, Ronald J. Toccy, Publisher(s): Pearson, 2022.

B.Tech Information Technology Page 73 of 252

 Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 3 2 - - - - - - - - - 3 - -
CO2 3 2 2 - - - - - - - - - 3 - -
CO3 3 3 3 - - - - - - - - - 3 - -
CO4 3 3 3 - - - - - - - - - 3 - -
CO5 3 3 3 - - - - - - - - - 3 - -
CO 3 3 3 - - - - - - - - - 3 - -
3-High, 2- Medium, 1-Low

Table of Specifications for End Semester Question Paper

Cognitive Level
Total
Total 16 Analyse
Unit No. and 2
Marks Remember Understa Apply (An)
Title Mark
Qns. (Re) nd (Un) (Ap) Evaluate
s Qns.
(Ev)
Unit-I: Boolean 1 either or
Algebra and 1 either 1(2)-
2 1(2)- CO1 (16)- -
Logic Gates or CO1
CO1
Unit-II: 1 either or
1 either 1(2)-
Combinational 2 1(2)- CO2 (16)- -
or CO2
Logic CO2
Unit-III: 1 either or
1(2)-
Synchronous 2 1 either or 1(2)- CO3 (16)- -
CO3
Sequential Logic CO3
Unit-IV: 1 either or
1(2)-
Asynchronous 2 1 either or 1(2)- CO4 (16)- - .
CO4
Sequential Logic CO4
Unit-V: Memory
1 either or
and 1 either
2 1(2)-CO5 1(2)-CO5 (16)- -
Programmable or
CO5
Logic
Total Qns. 10 5 either 5(2) 5(2) 5 either -
Total Marks 20 or
80 10 1 either
10 or or
80 -
Weightage 20% 80% 10% (16)
10% (16)
80% -
Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

B.Tech Information Technology Page 74 of 252

 L T P C
CS22301 OBJECT ORIENTED PROGRAMMING
3 0 0 3
COURSE OBJECTIVES:
• To understand Object Oriented Programming concepts and basic characteristics of
Java
• To know the principles of packages, inheritance and interfaces
• To define exceptions and use I/O streams
• To develop a java application with threads
• To design and build simple Graphical User Interfaces
UNIT I INTRODUCTION TO OOP AND JAVA FUNDAMENTALS 9
Object Oriented Programming concepts - Characteristics of Java –Java Source File - Structure
– Compilation. Fundamental Programming Structures in Java – Defining classes in Java –
Access specifiers - Comments, Data Types, Variables, Operators, Control Flow, Methods,
Static members - Arrays-Strings- JavaDoc comments.
UNIT II INHERITANCE AND INTERFACES 9
Constructors in java - Packages - Inheritance – Super classes- Sub classes –Protected
members – Constructors in sub classes- the Object class – Abstract classes and methods-
Final methods and classes – Interfaces – Defining an interface, Implementing interface,
Differences between classes and interfaces and extending interfaces
UNIT III EXCEPTION HANDLING AND I/O 9
Exceptions - Exception hierarchy - Throwing and catching exceptions – Built-in exceptions,
Creating own exceptions, Stack Trace Elements. Input / Output Basics – Streams – Byte
streams and Character streams – Reading and Writing Console – Reading and Writing Files.
UNIT IV COLLECTIONS, MULTITHREADING AND GENERICS 9

The Collections Framework: Collections Overview - The Collection Interface: The List
Interface - The Set Interface- The Collection Classes: The ArrayList Class - The LinkedList
Class - Accessing a Collection via an Iterator – The For-Each Alternative to Iterators.
Multithreading: Differences between multi-threading and multitasking, Thread life cycle,
Creating threads, Synchronizing threads, Inter-thread communication, Daemon threads,
Thread groups. Generic Programming: Generic classes – Generic Methods.

JAVAFX EVENT HANDLING, CONTROLS AND COMPONENTS

UNIT V 9

JAVAFX Events and Controls: Event Basics – Handling Key and Mouse Events. Controls:
Checkbox, ToggleButton – RadioButtons – ListView – ComboBox – ChoiceBox – Text
Controls – ScrollPane. Layouts – FlowPane – HBox and VBox – BorderPane – StackPane –
GridPane. Menus – Basics – Menu – Menu bars – MenuItem

TOTAL: 45 PERIODS
COURSE OUTCOMES:
At the end of the course, the students will be able to:

B.Tech Information Technology Page 75 of 252

 CO1: Describe the basic concepts of OOP and fundamentals in Java.
CO2: Implement the principles of packages, inheritance and interfaces
Develop Java applications using exception handling techniques and I/O
CO3:
operations.
CO4: Write Java applications using multithreading, collections and generics concepts.
Design interactive GUI based applications using the concepts of event handling
CO5:
and JavaFX components.
TEXT BOOKS:
Herbert Schildt, “Java The Complete Reference”, Tenth Edition, McGraw Hill
1.
Education, 2019.
Herbert Schildt, “Introducing JavaFX 8 Programming”, First Edition, McGraw Hill
2.
Education, New Delhi, 2015
REFERENCES:
1. Cay S. Horstmann, Gary cornell, “Core Java Volume –I Fundamentals”, Ninth Edition,
Prentice Hall, 2013.
2. Paul Deitel, Harvey Deitel, “Java SE 8 for programmers”, Third Edition, Pearson, 2015.
3. Steven Holzner, “Java 2 Black book”, Dreamtech press, 2011.
4. Timothy Budd, “Understanding Object-oriented programming with Java”, Updated
Edition, Pearson Education, 2000.
5. E Balagurusamy, “Programming with Java”, McGraw Hill Education, 2019.

Mapping of Course Outcomes to Programme Outcomes

ourse PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 3 3 - - - - - - - - - 3 - -
CO2 3 3 3 - - - - - - - - - 3 - -
CO3 3 3 3 - - - - - - - - - 3 - -
CO4 3 3 3 - - - - - - - - - 3 - -
CO5 3 3 3 - - - - - - - - - 3 - -
CO 3 3 3 - - - - - - - - - 3 - -
3-High, 2- Medium, 1-Low

Table of Specification for End Semester Question Paper

Cognitive Level
Total 2 Total 16 Analyse
Marks Marks Remember Understand Apply (An)
Unit No. and Title (Re) (Un) (Ap) Evaluat
Qns. Qns.
e(Ev)
No. of Qns. (marks) and CO
Unit-I: -
Introduction to OOP 1 either or
2 1 either or 2(2)-CO1 -
and Java (16)- CO1
fundamentals

B.Tech Information Technology Page 76 of 252

 Unit-II: -
1 either or
Inheritance and 2 1 either or 2(2)-CO2 -
(16)- CO2
Interfaces
Unit-Ill: -
1 either or
Exception Handling 2 1 either or 1(2)- CO3 1(2)- CO3
(16)- CO3
and I/O
Unit-IV: - .
Collections, 1either or
2 1 either or 1(2)-CO4 1(2)- CO4
Multithreading and (16)- CO4
Generics
Unit-V: -
JAVAFX Event 1 either or
2 1 either or 1(2)-CO5 1(2)-CO5
Handling, Controls (16)- CO5
and Components
Total Qns. 3(2) 3 either -
5 either or 7(2) 2 either or or
10
(16) (16)
Total Marks 20 80 14 38 48 -
Weightage 20% 80% 14% 38% 48% -
Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

L T P C
CS22302 DATA STRUCTURES
3 0 0 3
COURSE OBJECTIVES:
• To understand the concepts of ADTs.

• To learn linear data structures – lists, stacks, and queues.

• To understand non-linear data structures – trees and graphs.
• To understand sorting, searching and hashing algorithms.
• To apply Tree and Graph structures.
UNIT I LISTS 9
Abstract Data Types (ADTs) – List ADT – Array-based implementation – Linked list
implementation – Singly linked lists – Circularly linked lists – Doubly-linked lists –
Applications of lists – Polynomial ADT – Radix Sort – Multi lists.
UNIT II STACKS AND QUEUES 9
Stack ADT – Operations – Applications – Balancing Symbols – Evaluating arithmetic
expressions- Infix to Postfix conversion – Function Calls – Queue ADT – Operations –
Circular Queue – DeQueue – Applications of Queues.
UNIT III TREES 9

B.Tech Information Technology Page 77 of 252

 Tree ADT – Tree Traversals - Binary Tree ADT – Expression trees – Binary Search Tree ADT
– AVL Trees – Threaded Trees -Priority Queue (Heaps) – Binary Heap - B-Tree.
UNIT IV GRAPHS 9
Graph Definition – Representation of Graphs – Types of Graph - Breadth-first traversal –
Depth-first traversal – Topological Sort – Shortest path algorithms - Dijkstra's algorithm –
Minimum Spanning Tree – Prim's algorithm – Kruskal's algorithm

UNIT V SEARCHING, SORTING AND HASHING 9

Searching – Linear Search – Binary Search. Sorting – Bubble sort – Selection sort – Insertion
sort – Shell sort –. Merge Sort – Hashing – Hash Functions – Separate Chaining – Open
Addressing –Rehashing – Extendible Hashing.

TOTAL: 45 PERIODS
COURSE OUTCOMES:
At the end of the course, the students will be able to:
CO1: Explain the linear data structure List.
CO2: Implement stack and queue data structures.
CO3: Use appropriate non–linear data structure operations for solving a given problem.
CO4: Apply appropriate graph algorithms for graph applications.
CO5: Apply different searching, sorting and hashing techniques.
TEXT BOOKS:
Mark Allen Weiss, Data Structures and Algorithm Analysis in C, 2nd Edition, Pearson
1.
Education, 2005.
Kamthane, Introduction to Data Structures in C, 1st Edition, Pearson Education,
2.
2007.
REFERENCES:
1. Langsam, Augenstein and Tanenbaum, Data Structures Using C and C++, 2nd Edition,
Pearson Education, 2015.
2. Thomas H. Cormen, Charles E. Leiserson, Ronald L.Rivest, Clifford Stein,
Introduction to Algorithms", Fourth Edition, Mcgraw Hill/ MIT Press, 2022.
3. Alfred V. Aho, Jeffrey D. Ullman,John E. Hopcroft ,Data Structures and Algorithms,
1st edition, Pearson, 2002.
4. Kruse, Data Structures and Program Design in C, 2nd Edition, Pearson Education,
2006.
5. Ellis Horowitz, Satraj Sahni and Susan Anderson-Freed, “Fundamentals of Data
Structures in C”, 2nd Edition, Universities Press, 2008.

Mapping of Course Outcomes to Programme Outcomes

ourse PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 3 3 - - - - - - - - 1 3 - -
CO2 3 3 3 - - - - - - - - 2 3 - -

B.Tech Information Technology Page 78 of 252

 CO3 3 3 3 - - - - - - - - 2 3 - -
CO4 3 3 3 - - - - - - - - 2 3 - -
CO5 3 3 3 - - - - - - - - 2 3 - -
CO 3 3 3 - - - - - - - - 2 3 - -
3-High, 2- Medium, 1-Low

Table of Specification for End Semester Question Paper

Total 2 Total 16 Cognitive Level
Unit No. and Marks Marks Remember Understand Apply Analyse
Title Qns. Qns. (Re) (Un) (Ap) (An)
Evaluate
(Ev)
No. of Qns. (marks) and CO
Unit-I: 2 1 either or 2(2)-CO1 1 either or - -
List (16)- CO1
Unit-II: 2 1 either or 1(2)-CO2 1(2)-CO2 1 either or -
Stacks and Queues (16)- CO2
Unit-IlI: 2 1 either or 1(2)- CO3 1(2)- CO3 1 either or -
Trees (16)- CO3
Unit-IV: 2 1 either or 1(2)-CO4 1(2)- CO4 1either or - .
Graphs (16)- CO4
Unit-V: 2 1 either or 1(2)-CO5 1(2)-CO5 1 either or -
Searching, Sorting (16)- CO5
and Hashing
4(2) -
4 either or
Total Qns. 10 5 either or 6(2) 1 either or
(16)
(16)
Total Marks 20 80 12 24 64 -
Weightage 20% 80% 12% 24% 64% -
Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

OBJECT ORIENTED PROGRAMMING L T P C

CS22305
LABORATORY 0 0 4 2
COURSE OBJECTIVES
• To build software development skills using java programming for real-world
applications.
• To understand and apply the concepts of classes, packages, interfaces, arraylist,
exception handling and file processing.
• To develop applications using event handling.

B.Tech Information Technology Page 79 of 252

 LIST OF EXPERIMENTS
1. Write simple java applications using if-else, switch -case, loops, array
2. Develop a java application to implement packages.
3. Develop a java application to implement inheritance.
4. Develop a java application to implement an interface.
5. Develop a java application to implement abstract classes.
6. Write a Java program to implement user defined exception handling.
7. Write a Java program that performs file operations.
8. Write a java program that implements a multi-threaded application.
9. Design a simple calculator using event-driven programming paradigm of Java.
10. Develop a mini project for any application using Java concepts.
TOTAL PERIODS: 60
Lab Requirements: for a batch of 30 students
Operating Systems: Linux / Windows
Front End Tools: Eclipse IDE / Netbeans IDE
COURSE OUTCOMES

Upon completion of the course, the students will be able to

Develop Java programs for simple applications that make use of classes, packages
CO1:
and interfaces.
Develop Java programs to implement inheritance, exception handling and
CO2:
multithreading concepts.
CO3: Design applications using file operations.

CO4: Design applications using JAVAFX and event handling.

CO5: Develop a mini project for any application.

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
Outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 2 3 - - - - - - - - - 3 - -
CO2 3 2 3 - - - - - - - - - 3 - -
CO3 3 2 3 - - - - - - - - - 3 - -
CO4 3 2 3 - - - - - - - - - 3 - -
CO5 3 2 3 - - - - - - - - - 3 - -
CO 3 2 3 - - - - - - - - - 3 - -
3-High, 2- Medium, 1-Low

B.Tech Information Technology Page 80 of 252

 L T P C
CS22306 DATA STRUCTURES LABORATORY
0 0 4 2
COURSE OBJECTIVES:
• To implement linear and non-linear data structures
• To apply the different operations of search trees
• To implement graph traversal algorithms
• To apply sorting and searching algorithms
LIST OF EXPERIMENTS
1. Linked list implementation of List ADT, Stack ADT and Queue ADT.
2. Implementation of Doubly Linked List and Circularly Linked List.
3. Polynomial Addition, Subtraction and Multiplication using Linked List.
Balancing Symbols, Evaluation of Postfix Expression and Infix to Postfix
4.
conversion.
5. Implementation of Double Ended Queue.
6. Implementation of binary tree and its operations with relevant traversals.
7. Implementation of binary search tree.
8. Graph representations, Implementation of BFS & DFS.
9. Shortest path using Dijkstra’s algorithm.
10. Minimum spanning tree using Prim’s algorithm.
11. Implementation of Sorting Algorithms and Searching Algorithms
12. Hashing using separate chaining & open addressing.
TOTAL: 60 PERIODS
COURSE OUTCOMES:
At the end of the course, the students will be able to:
CO1: Write functions to implement linked list.
Use appropriate linear / non-linear data structure operations for solving a given
CO2:
problem.
CO3: Use graph traversal algorithms.
Apply appropriate hash functions that result in a collision free scenario for data
CO4:
storage and retrieval.
CO5: Write functions to implement searching and sorting algorithms.

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 1 2 2 1 2 - - - - - - 2 - 3 -
CO2 3 3 1 1 2 - - - - - - 3 - 3 -
CO3 2 1 3 2 2 - - - - - - 3 - 3 -
CO4 3 2 1 2 2 - - - - - - 1 - 3 -
CO5 2 2 2 1 2 - - - - - - 2 - 3 -
CO 2 2 2 1 2 - - - - - - 2 - 3 -
3-High, 2- Medium, 1-Low

B.Tech Information Technology Page 81 of 252

 CODING SKILLS AND SOFT SKILLS TRAINING L T P C
SD22301
– PHASE II 0 0 4 2
COURSE OBJECTIVES
• To make the students to solve basic programming logics.
• To help the students develop logics using decision control statements.
• To make them develop logics using looping statements and arrays.
• To train the students for effective communication and identify the common errors in
formal writings.
• To guide and motivate the students for setting their goals with positive thinking.
UNIT I FUNDAMENTALS IN PROGRAMMING 8
Output of Programs: I/O Functions, Data types, Constants, Operators – Mathematical
Problems – Debugging – Puzzles - Company Specific Programming Examples.
UNIT II DECISION CONTROL STATEMENTS 8
Logic Building Using Conditional Control Statements – Output of Programs – Mathematical
Problems - Puzzles – Company Specific Programming Examples
UNIT III LOOPING STATEMENTS AND ARRAYS 14
Logic Building Using Looping Statements – Number Programs – Programs on Patterns –
Array Programs – Programs on Sorting and Searching - Matrix Programs – Puzzles - Output
of Programs - Company Specific Programming Examples
UNIT IV COMMUNICATION IN GENERAL 15
Introduction to communication-Types of communication – Effective Communication-
Barriers to communication. Language Study: Vocabulary-Formation of sentences-Sentence
and sentence structures-Common errors – Writing paragraphs & essays. Professional writing:
Job application & Resume writing
UNIT V PERSONALITY DEVELOPMENT 15
Study of personality & ways to improve. Soft Skills: Self-evaluation / self-awareness – Goal
setting and positive thinking – Self-esteem and confidence – Public speaking – Extempore –
Body language and Observation skills
SUGGESTIVE ASSESSMENT METHODS:
1) Pre Assessment Test – To check the student’s previous knowledge in
Programming skills.
2) Internal Assessment I for coding skills will be conducted for 100 marks which are
then calculated to 20.

3) Internal Assessment II for coding skills will be conducted for 100 marks which
are then calculated to 20.
4) Model Exam for coding skills will be conducted for 100 marks which are then
calculated to 20.
5) A test for Communication skills will be conducted for 100 marks which will be
then calculated to 40.

B.Tech Information Technology Page 82 of 252

 6) For assignments, students should attend all the practice tests conducted online on
HackerRank. Each assignment will be for 100 marks and finally the total marks
obtained by a student in all tests will be reduced to 40 marks.
7) The total of 100 marks obtained from the tests will be then calculated to 60 marks
and additional of 40 marks will be given for assignments which will make it a
total of 100.
TOTAL PERIODS: 60

COURSE OUTCOMES

Upon completion of the course, the students will be able to.

CO1: Solve problems on basic I/O constructs.

CO2: Develop problem solving skills using decision control statements.

CO3: Develop logics using looping statements and arrays.

Avoid / fix the common errors they commit in academic and professional writings
CO4:
and prepare standard resumes and update the same for future career.
CO5: Recognize the value of self-evaluation and grow with self-confidence.

TEXT BOOKS
Reema Thareja, “Programming in C”, Oxford University Press, Second Edition,
1.
2016.
Kernighan, B.W and Ritchie,D.M, “The C Programming language”, Second Edition,
2.
Pearson Education, 2015.
REFERENCE BOOKS
Anita Goel and Ajay Mittal, “Computer Fundamentals and Programming in C”, 1st
1.
Edition, Pearson Education, 2013.
Paul Deitel and Harvey Deitel, “C How to Program with an Introduction to C++”,
2.
Eighth edition, Pearson Education, 2018.
E Balagurusamy, “Programming in ANSI C”, Eighth edition, Mc GrawHill
3.
Publications, 2019.
S.Sobana, R.Manivannan, G.Immanuel,‘Communication and Soft Skills’ VK
4.
Publications’, 2016.
Zed Shaw, “ Learn C the Hard Way: Practical Exercises on the Computational
5.
Subjects You Keep Avoiding”, Zed Shaw’s Hardway Series, 2015.

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3

B.Tech Information Technology Page 83 of 252

 CO1 3 2 2 - 1 1 1 - - - 1 2 2 1 2
CO2 3 2 2 - 1 1 1 - - - 1 2 2 1 2
CO3 3 2 2 - 1 1 1 - - - 1 2 2 1 2
CO4 - - - - - - - 1 2 3 - 2 3 - -
CO5 - - - - - - - 1 2 3 - 2 3 - -
CO 3 2 2 - 1 1 1 1 2 3 1 2 2 1 2
3-High, 2- Medium, 1-Low

L T P C
AC22301 CONSTITUTION OF INDIA
2 0 0 0
COURSE OBJECTIVES
• Teach history and philosophy of Indian Constitution.
• Describe the premises informing the twin themes of liberty and freedom from a civil
rights perspective.
• Summarize powers and functions of Indian government.
• Explain emergency rule.
• Explain structure and functions of local administration.
UNIT I INTRODUCTION 6
History of Making of the Indian Constitution - Drafting Committee - Philosophy of the
Indian Constitution - Preamble - Salient Features.
UNIT II CONTOURS OF CONSTITUTIONAL RIGHTS & DUTIES 6
Fundamental Rights - Right to Equality - Right to Freedom - Right against Exploitation -
Right to Freedom of Religion - Cultural and Educational Rights - Fundamental Duties.
UNIT III ORGANISATIONS OF GOVERNANCE 7
Parliament - Composition - Qualifications and Disqualifications - Powers and Functions -
Executive President - Governor - Council of Ministers - Judiciary, Appointment and Transfer
of Judges - Qualifications, Powers and Functions.
UNIT IV EMERGENCY PROVISIONS 4

Emergency Provisions - National Emergency, President Rule, Financial Emergency.

UNIT V LOCAL ADMINISTRATION 7

District’s Administration head - Role and Importance -Municipalities - Introduction- Mayor
and role of Elected Representative - CEO of Municipal Corporation -Pachayati raj -
Introduction - PRI- Zila Pachayat-Elected officials and their roles.
TOTAL PERIODS: 30
COURSE OUTCOMES
Upon completion of the course, the students will be able to
CO1: Understand history and philosophy of Indian Constitution.
Understand the premises informing the twin themes of liberty and freedom from a
CO2:
civil rights perspective.
CO3: Understand powers and functions of Indian government.

B.Tech Information Technology Page 84 of 252

 CO4: Understand emergency rule.
CO5: Understand structure and functions of local administration.
TEXT BOOKS
1. Basu D D, Introduction to the Constitution of India, Lexis Nexis, 2015.
2. Busi S N, Ambedkar B R framing of Indian Constitution, 1st Edition, 2015.
3. Jain M P, Indian Constitution Law, 7th Edn., Lexis Nexis, 2014.
4. The Constitution of India (Bare Act), Government Publication,1950.
REFERENCES:
M.V.Pylee, “Introduction to the Constitution of India”,4th Edition, Vikas
1
publication,2005.
Durga Das Basu (DD Basu), “Introduction to the constitution of India”, (Student
2.
Edition),19th Edition, Prentice-Hall EEE, 2008.
Merunandan, “Multiple Choice Questions on Constitution of India”, 2nd Edition,
3.
Meraga publication, 2007.

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 - 1 - - 1 1 - 1 - - - 1 - - 2
CO2 - 1 - - - 1 - 1 - 1 - - - - 2
CO3 - 1 1 - - 1 - 1 - 1 - - - - 2
CO4 - - - 1 - - 1 - 1 1 1 1 - - 2
CO5 - - - - - - 1 - - 1 - 1 - - 2
CO - 1 1 1 1 1 1 1 1 1 1 1 - - 2
3-High, 2- Medium, 1-Low

L T P C
HS22301 VALUE EDUCATION – I
1 0 0 0
COURSE OBJECTIVES
• To give the students a deeper understanding about the purpose of life.
• To animate the students to have a noble vision and a right value system for their life.
• To help the students to set short term and long-term goals in their life.
UNIT I MY LIFE AND MY PLACE IN THE UNIVERSE 4
Value of my life – My Uniqueness, strengths and weakness – My self-esteem and
confidence – My identity in the universe.
UNIT II MY LIFE AND THE OTHER 4
Realising the need to relate with other persons and nature – My refined manners and
conduct in relationships – Basic communication and relationship skills – Mature
relationship attitudes.
UNIT III MY LIFE IS MY RESPONSIBILITY 3

B.Tech Information Technology Page 85 of 252

 Personal autonomy – developing a value system and moral reasoning skills – setting
goals for life.
UNDERSTANDING MY EDUCATION AND
UNIT IV 4
DEVELOPING MATURITY
Importance of my Engineering education – Managing emotions - personal problem
solving skills.
TOTAL PERIODS: 15
COURSE OUTCOMES
Upon completion of the course, the students will be able to:
CO1: Explain the importance of value-based living.
CO2: Set realistic goals and start working towards them.
CO3: Apply the interpersonal skills in their personal and professional life.
Emerge as responsible citizens with a clear conviction to be a role model in the
CO4:
society.
REFERENCE BOOKS
David Brooks. The Social Animal: The Hidden Sources of Love, Character, and
1.
Achievement. Random House, 2011.
Mani Jacob. Resource Book for Value Education. Institute of Value Education,
2.
2002.
Eddie de Jong. Goal Setting for Success. CreateSpace Independent Publishing,
3.
2014.
Dr.Abdul kalam. My Journey-Transforming Dreams into Actions. Rupa
4.
Publications, 2013.

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 - - - - - 2 - 1 1 2 - 2 - - 1
CO2 - - - - - 2 - 1 1 2 - 2 - - 1
CO3 - - - - - 2 - 1 1 2 - 2 - - 1
CO4 - - - - - 2 - 1 1 2 - 2 - - 1
CO - - - - - 2 - 1 1 2 - 2 - - 1
3-High, 2- Medium, 1-Low

B.Tech Information Technology Page 86 of 252

 SEMESTER IV

L T P C
IT22401 FUNDAMENTALS OF ALGORITHM ANALYSIS
3 0 0 3
COURSE OBJECTIVES
• To understand and apply the algorithm analysis techniques and critically analyze the
efficiency of alternative algorithmic solutions for the same problem
• To understand Brute Force and Divide and Conquer algorithm design techniques

• To understand dynamic programming and greedy algorithm design techniques

• To make the students understand and solve problems using iterative method

• To understand the limitations of Algorithmic power

UNIT I INRODUCTION 9
Notion of an Algorithm – Fundamentals of Algorithmic Problem Solving – Important Problem
Types – Fundamentals of the Analysis of Algorithmic Efficiency – Analysis Framework –
Asymptotic Notations and their properties. Mathematical analysis for Recursive and Non-
recursive algorithms.
UNIT II BRUTE FORCE AND DIVIDE-AND-CONQUER 9
Brute Force –String Matching – Closest-Pair and Convex-Hull Problems – Exhaustive Search
– Travelling Salesman Problem – Knapsack Problem – Assignment problem. Divide and
Conquer Methodology –Merge sort – Quick sort – Binary Search.
DYNAMIC PROGRAMMING AND GREEDY
UNIT III 9
TECHNIQUE
Dynamic programming – Computing a Binomial Coefficient –Optimal Binary Search Trees –
Warshall’s and Floyd’s algorithm. Greedy Technique – Prim’s algorithm, Dijkstra’s Algorithm
and Kruskal’s Algorithm – Huffman Trees.
BACKTRACKING AND BRANCH-AND-
UNIT IV 9
BOUND
Backtracking – n-Queen problem – Hamiltonian Circuit Problem – Subset Sum Problem.
Branch and Bound – Assignment problem – Knapsack Problem – Travelling Salesman
Problem.
ITERATIVE IMPROVEMENT &
UNIT V 9
LIMITATIONS OF ALGORITHMIC POWER
The Simplex Method – The Maximum-Flow Problem – Bipartite Graphs - Stable marriage
Problem. Lower – Bound Arguments – P, NP NP- Complete and NP Hard Problems.
Approximation Algorithms for NP-Hard Problems – Travelling Salesman problem – Knapsack
problem.
TOTAL PERIODS: 45
COURSE OUTCOMES
Upon completion of the course, the students will be able to

B.Tech Information Technology Page 87 of 252

 CO1: Describe the algorithm design and analytical principles for various computing
. problems
CO2: Implement the problems using brute force and divide and conquer techniques

CO3: Solve problems using dynamic programming and greedy technique

Compute the limitations of algorithmic power and solve the problems using
CO4:
backtracking and branch and bound techniques
CO5: Modify the problems using iterative improvement techniques for optimization

TEXT BOOKS
Anany Levitin, ―Introduction to the Design and Analysis of Algorithms, Third
1.
Edition, Pearson Education, 2012.
Ellis Horowitz, Sartaj Sahni and Sanguthevar Rajasekaran, Computer
2.
Algorithms/C++, Second Edition, Universities Press, 2007.
REFERENCE BOOKS
Thomas H.Cormen, Charles E.Leiserson, Ronald L. Rivest and Clifford Stein,
1.
“Introduction to Algorithms”, Third Edition, PHI Learning Private Limited, 2012.
Alfred V. Aho, John E. Hopcroft and Jeffrey D. Ullman, “Data Structures and
2.
Algorithms”, Pearson Education, Reprint 2006.
3. Harsh Bhasin, “Algorithms Design and Analysis”, Oxford university press, 2016.

4. S. Sridhar, “Design and Analysis of Algorithms”, Oxford university press, 2014.

5. http://nptel.ac.in/

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 3 2 2 - - - - - - - - 3 - -
CO2 3 2 2 2 - - - - - - - - 3 - -
CO3 3 3 3 2 - - - - - - - - 3 - -
CO4 3 3 3 2 - - - - - - - - 3 - -
CO5 3 3 2 2 - - - - - - - - 3 - -
CO 3 3 2 2 - - - - - - - - 3 - -
3-High, 2- Medium, 1-Low
Table of Specifications for End Semester Question Paper

Total 2 Total 16 Cognitive Level

Unit No. and Title Marks Marks
Remem Understa Apply Analyse
Qns. Qns.
ber (Re) nd (Un) (Ap) (An)

B.Tech Information Technology Page 88 of 252

 Evaluate
(Ev)
1 either or
Unit-I: 1 either 2(2)-
2 (16)- - -
Introduction or CO1
CO1
Unit-II:
1 either or
Brute Force and 1 either 1(2)-
2 1(2)- C02 (16)- -
Divide-and- or C02
CO2
Conquer
Unit-III:
1 either or
Dynamic 1 either 1(2)-
2 1(2)- C03 (16)- -
Programming and or C03
C03
Greedy Technique
Unit-IV: 1 either
Backtracking and 1 either 1(2)- 1(2)- or
2 - .
Branch-and- or CO4 CO4 (16)-
Bound CO4
Unit-V:
Iterative
1 either or
Improvement & 1 either 1(2)-
2 1(2)-CO5 (16)- -
Limitations of or CO5
CO5
Algorithmic
Power
4(2)
4 either
5 either 1 either
Total Qns. or -
10 or 6(2) or
(16)
(16)
Total Marks 20 80 12 32 64 -
Weightage 20% 80% 12% 32% 64% -
Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

L T P C
CS22402 DATABASE MANAGEMENT SYSTEMS
3 0 0 3
COURSE OBJECTIVES
• To learn the fundamental concepts of database, data models, relational algebra and
SQL.
• To represent a database system using ER diagrams and to learn normalization
techniques.
• To understand the fundamental concepts of transaction, concurrency and recovery
processing.
• To understand the internal storage structures using different file and indexing
techniques which will help in physical DB design.
• To have an introductory knowledge about the Distributed databases, NOSQL and
database security

B.Tech Information Technology Page 89 of 252

 UNIT I RELATIONAL DATABASES 10
Purpose of Database System – Views of data – Data Models – Database System Architecture
– Introduction to relational databases – Relational Model – Keys – Relational Algebra – SQL
fundamentals – Advanced SQL features – Embedded SQL– Dynamic SQL
UNIT II DATABASE DESIGN 8
Entity-Relationship model – E-R Diagrams – Enhanced-ER Model – ER-to-Relational
Mapping – Functional Dependencies – Non-loss Decomposition – First, Second, Third
Normal Forms, Dependency Preservation – Boyce/Codd Normal Form – Multi-valued
Dependencies and Fourth Normal Form – Join Dependencies and Fifth Normal Form
UNIT III TRANSACTIONS 9
Transaction Concepts – ACID Properties – Schedules – Serializability – Need for
Concurrency – Concurrency control –Two Phase Locking- Deadlock Handling -Timestamp
based Protocols – Recovery Concepts – Recovery based on deferred and immediate update
– ARIES Algorithm
UNIT IV IMPLEMENTATION TECHNIQUES 9
RAID – File Organization – Organization of Records in Files – Data dictionary Storage –
Column Oriented Storage– Indexing and Hashing –Ordered Indices – B+ tree Index Files –
B tree Index Files – Static Hashing – Dynamic Hashing – Query Processing Overview –
Algorithms for Selection, Sorting and join operations – Query optimization using Heuristics
- Cost Estimation.
UNIT V ADVANCED TOPICS 9
NoSQL Databases - Evolution of NoSQL databases. Different types of NoSQL databases.
CAP Theorem, Consistency levels. Advantages of NoSQL databases, Scalability and
performance.Introducing MongoDB: History, MongoDB Design Philosophy, Speed,
Scalability, and Agility, Non-Relational Approach, JSON-Based Document Store,
Performance vs. Features.
TOTAL PERIODS: 45
COURSE OUTCOMES
Upon completion of this course, the students will be able to
CO1: Outline the basic concepts of Relational databases
CO2: Illustrate database using ER model and normalize the database
CO3: Summarize transaction concepts and locking mechanisms.
Identify the various indexing and hashing strategies to tune the performance of
CO4: the database
Examine how does advanced databases differ from relational databases and find
CO5:
a suitable database for the given requirement
TEXT BOOKS
Abraham Silberschatz, Henry F. Korth, S. Sudharshan, -Database System
1.
Concepts, Seventh Edition, McGraw Hill, 2020.
Ramez Elmasri, Shamkant B. Navathe, -Fundamentals of Database Systems,
2.
Seventh Edition, Pearson Education, 2017.
REFERENCES:

B.Tech Information Technology Page 90 of 252

 C.J.Date, A.Kannan, S.Swamynathan, -An Introduction to Database Systems,
1.
Eighth Edition, Pearson Education, 2006.
Anirudha Kolpyakwar , Pallavi Chaudhari “, Database Management System with
2.
NoSQL”Lampert Academic Publishing,2018.
Saeed K. Rahimi, Frank S. Haug, “Distributed database management system. A
3.
Practical approach” John Wiley & Sons, 2010.
B. Prabhakaran ,”Multimedia Database Management Systems” The Springer
4.
International Series , 2012.
Akmal Chaudhri, Awais Rashid , Roberto Zicari, “XML Data Management:
5. Native XML and XML-Enabled Database Systems”, Addison-Wesley
Professional, First Edition, 2003.

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 3 3 - - - - - - - - - 3 - -
CO2 3 3 3 - - - - - - - - - 3 - -
CO3 3 3 3 - - - - - - - - - 3 - -
CO4 3 3 3 - - - - - - - - - 3 - -
CO5 3 3 3 - - - - - - - - - 3 - -
CO 3 3 3 - - - - - - - - - 3 - -
3-High, 2- Medium, 1-Low

Table of Specifications for End Semester Question Paper

Total 2 Total 16 Cognitive Level

Unit No. and Title Marks Marks Remember Understand Apply Analyse(An)
Qns. Qns. (Re) (Un) (Ap) Evaluate(Ev)
No.ofQns.(marks) and CO
Unit-I: 2 1either or 1(2)-CO1 1(2)-CO1 - -
1either or
Relational (16)- CO1
Databases
Unit-II: 2 1either or 1(2)-CO2 1(2)-CO2 -
1either or
Database Design (16)- CO2
Unit-III: 2 1either or 1(2)- CO3 1(2)-CO3 -
1 either
Transactions
or(16)-CO3

Unit-IV: 2 1either or 2(2)-CO4 - 1either or -.

Implementation (16)-CO4
Techniques
Unit-V: 2 1either or 2(2)-CO5 - - 1either or
(16)- CO5

B.Tech Information Technology Page 91 of 252

 Advanced
Topics
Total Qns. 5either or 7(2) 3(2) 1either or 1either or
10 3 either or (16) (16)
(16)
Total Marks 20 80 14 54 16 16
Weightage 20% 80% 14% 54% 16% 16%
Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

L T P C
CS22403 OPERATING SYSTEMS
3 0 0 3
COURSE OBJECTIVES:
● To understand the basic concepts and functions of operating systems.
● To understand Processes and Threads
● To understand the concept of Deadlocks.
● To analyze various memory management schemes.
● To understand I/O management and File systems.
● To be familiar with the basics of Linux system and Mobile OS like iOS and Android.
● To analyze Scheduling algorithms.
UNIT I OPERATING SYSTEM OVERVIEW 7
Computer System Overview-Basic Elements, Instruction Execution, Interrupts, Memory
Hierarchy, Cache Memory, Direct Memory Access, Multiprocessor and Multicore
Organization. Operating system overview- Objectives and functions, Evolution of Operating
System.- Computer System Organization Operating System Structure and Operations-
System Calls, System Programs, OS Generation and System Boot.
UNIT II PROCESS MANAGEMENT 10
Processes - Process Concept, Process Scheduling, Operations on Processes, Inter-process
Communication; Threads- Overview, Multithreading models, Threading issues; Process
Synchronization - The critical-section problem, Synchronization hardware, Mutex locks,
Semaphores, Classic problems of synchronization, Critical regions, Monitors;
UNIT III PROCESS SYNCHRONISATION 10
CPU Scheduling - Scheduling criteria, Scheduling algorithms, Multiple-processor
scheduling, Real time scheduling; Deadlock - System model, Deadlock characterization,
Methods for handling deadlocks, Deadlock prevention, Deadlock avoidance, Deadlock
detection, Recovery from deadlock.
UNIT IV STORAGE MANAGEMENT `9
Main Memory – Background, Swapping, Contiguous Memory Allocation, Paging,
Segmentation, Segmentation with paging, Virtual Memory – Background, Demand Paging,

B.Tech Information Technology Page 92 of 252

 Page Replacement, Allocation, Thrashing; Allocating Kernel Memory, Disk structure- Disk
scheduling- swap space management- Directory and disk structure, Directory
implementation, Allocation Methods.
UNIT V VIRTUAL MACHINES 9
Virtual machines – Distributed systems – Types of network based operating system - Linux
System – Design Principles, Kernel Modules - Mobile OS - iOS and Android - Architecture
and SDK Framework, Media Layer, Services Layer, Core OS Layer, File System.

TOTAL: 45 PERIODS
COURSE OUTCOMES:
At the end of the course, the students will be able to:
CO1: Describe the basic concepts, services and structure of operating systems.
Interpret process management, process synchronization and multithreading
CO2:
concepts.
Apply CPU scheduling algorithms and deadlock detection and avoidance
CO3:
algorithms.
CO4: Apply various storage management schemes.
CO5: Compare different types of operating systems.
TEXT BOOKS:
Abraham Silberschatz, Peter Baer Galvin and Greg Gagne, “Operating System
1.
Concepts”, Tenth Edition, John Wiley and Sons Inc., 2018.
Andrew. Tanenbaum, “Modern Operating Systems”, Adison Wesley, Fourth Edition,
2.
2014.
REFERENCES:
1. Ramaz Elmasri, A. Gil Carrick, David Levine, “Operating Systems – A Spiral
Approach”, Tata McGraw Hill Edition, 2010.
2. Achyut S.Godbole, Atul Kahate, “Operating Systems”, McGraw Hill Education, 2016.
3. D M Dhamdhere, “Operating Systems: A Concept-Based Approach, Third Edition,
Tata McGraw Hill 2017.
4. William Stallings, “Operating Systems: Internals and Design Principles”, Seventh
Edition, Prentice-Hall, 2013.
5. Charles Crowley, “Operating Systems: A Design-Oriented Approach”, Tata McGraw
Hill, 2012.

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 1 1 - - - - - - - - 1 2 - -
CO2 3 1 1 - - - - - - - - 1 2 - -
CO3 3 1 - - - - - - - - - 1 2 - -
CO4 3 1 2 2 - - - - - - - 1 2 - -

B.Tech Information Technology Page 93 of 252

 CO5 3 3 1 2 - - - - - - - 1 3 - -
CO 3 1 1 2 - - - - - - - 1 2 - -
3-High, 2- Medium, 1-Low
Table of Specification for End Semester Question Paper
Total 2 Total 16 Cognitive Level
Unit No. and Title Marks Marks Remember Understand Apply Analyse(An)
Qns. Qns. (Re) (Un) (Ap) Evaluate(Ev)
No.of Qns.(marks)andCO
Unit-I:
1either or
2 1either or 2(2)-CO1 - -
Operating System (16)- CO1
Overview
Unit-II:
1either or
2 1either or 2(2)-CO2 - -
Process (16)- CO2
Management
Unit-Ill:
1 either or
Process 2 1either or 1(2)- CO3 1(2)-CO3 -
(16)-CO3
Synchronization
Unit-IV:
1either or
Storage 2 1either or 1(2)-CO4 1(2)-CO4 -.
(16)-CO4
Management
Unit-V: 1either or
2 1either or 1(2)-CO5 1(2)-CO5 -
Virtual Machines (16)- CO5
Total Qns. 3(2)
2 either or 1 either or
5either or 7(2) 2 either or
10 (16) (16)
(16)
Total Marks 20 80 14 38 32 16
Weightage 20% 80% 14% 38% 32% 16%
Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

PROBABILITY AND MACHINE LEARNING L T P C

IT22402
2 0 2 3
COURSE OBJECTIVES
• To introduce the fundamentals of probability and random variables.
• To introduce the fundamentals of two-dimensional random variables.
• To provide a basic understanding on machine learning concepts.
• To provide an in-depth introduction to supervised learning algorithms.
• To provide an in-depth introduction to unsupervised learning algorithms.

B.Tech Information Technology Page 94 of 252

 UNIT I PROBABILITY AND RANDOM VARIABLES 6
Probability – Axioms of probability – Conditional probability – Baye‘s theorem - Discrete and
continuous random variables – Moments –Probability distributions: Binomial, Poisson and
Normal distributions.

UNIT II TWO - DIMENSIONAL RANDOM VARIABLES 6

Joint distributions – Marginal and conditional distributions – Covariance – Correlation and
linear regression – Transformation of random variables – Central limit theorem.
MACHINE LEARNING AND DATA
UNIT III 6
PREPROCESSING
Definitions, goals and history of Machine Learning, Taxonomy of Machine Learning, Data
preprocessing, standardization, dimension reduction, feature selection, Train-Test splitting,
loss function, optimization, model selection, cross validation.

UNIT IV SUPERVISED LEARNING 6

Supervised Learning: Parametric/Non-parametric learning, Naive Bayes classifier, support
vector machine, Regularization, Classification errors, Decision Tree, K-Nearest Neighbors,
Neural Networks.
UNSUPERVISED AND REINFORCED
UNIT V 6
LEARNING
Clustering: K-means, K-medoids, hierarchical clustering algorithms, Dimensionality
reduction, kernel methods, Learning theory: bias/variance trade-offs, VC theory, large margins.
Introduction to reinforcement learning. Applications of machine learning.
TOTAL PERIODS: 30
PRACTICAL EXERCISES
1. Implementation of Data Pre-processing techniques.
2. Build Linear Regression models.
3. Implement Naïve Bayes models.
4. Build decision trees.
5. Build SVM models.
6. Implement K-Means clustering algorithms.
7. Build simple NN models.
TOTAL PERIODS: 30
COURSE OUTCOMES
Upon completion of the course, the students will be able to
CO1: Solve the problems using the concepts of probability and standard distributions.
CO2: Apply the concepts of two-dimensional random variables.
CO3: Explore the concepts of machine learning and data preprocessing techniques.
CO4: Apply supervised learning algorithms for real world problems.
CO5: Apply unsupervised learning techniques.
TEXT BOOKS
Johnson, R.A., Miller, I and Freund J., "Miller and Freund‘s Probability and
1
Statistics for Engineers", Pearson Education, Asia, 8th Edition, 2015.
2 Mitchell, Tom. Machine Learning. New York, NY: McGraw-Hill, 1997.

B.Tech Information Technology Page 95 of 252

 REFERENCES:
Milton. J. S. and Arnold. J.C., "Introduction to Probability and Statistics", Tata
1. McGraw Hill, 4th Edition, 2007.

2. Bishop, C. M., Pattern Recognition and Machine Learning, Springer, 2006.

Hastie, T., R. Tibshirani, and J. H. Friedman. The Elements of Statistical Learning:
3. Data Mining, Inference and Prediction, Second Edition, Springer, 2009 .
Devore. J.L., "Probability and Statistics for Engineering and the Sciences‖,
4. Cengage Learning, New Delhi, 8th Edition, 2014.
Papoulis, A. and Unnikrishnapillai, S., "Probability, Random Variables and
5. Stochastic Processes", McGraw Hill Education India, 4th Edition, New Delhi,
2010.

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 3 3 1 - - - - - - - 1 - 3 -
CO2 3 3 3 1 - - - - - - - 1 - 3 -
CO3 3 3 3 1 2 - - - - - - 1 - 3 -
CO4 3 3 3 2 2 - - - - - - 1 - 3 -
CO5 3 3 3 2 2 - - - - - - 1 - 3 -
CO 3 3 3 1 2 - - - - - - 1 - 3 -
3-High, 2- Medium, 1-Low

Table of Specification for End Semester Question Paper

Cognitive Level
Total Total
2 16 Analys
Unit No. and Title
Mark Marks Remembe Understa e (An)
Apply (Ap)
s Qns. Qns. r (Re) nd (Un) Evalua
te (Ev)
Unit-I:
1 either 1(2)- 1(2)- 1 either or
Probability and 2 -
or CO2 CO2 (16)-CO2
Random Variables

Unit-II:
1 either 1(2)- 1(2)- 1 either or
Two Dimensional 2 -
or CO2 CO2 (16)-CO2
Random Variables
1 either 2(2)-
Unit-III: 2 1 either or - -
or CO3

B.Tech Information Technology Page 96 of 252

 Machine Learning (16)-
and Data C03
Preprocessing
Unit-IV:
1 either 1(2)- 1 either or
Supervised 2 1(2)-CO4 - .
or CO4 (16)- CO4
Learning
Unit-V:
1 either or
Unsupervised and 1 either 2(2)-
2 (16)- - -
Reinforced or CO3
C03
Learning
3(2)
5 either 2 either 3 either or
Total Qns. -
10 or 7(2) or (16)
(16)
Total Marks 20 80 14 38 48 -
Weightage 20% 80% 14% 38% 48% -
Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

L T P C
IT22403 WEB ESSENTIALS
2 0 2 3
COURSE OBJECTIVES
• To comprehend and analyze the basic concepts of web programming and internet
protocols.
• To describe how the client-server model of Internet programming works.
• To demonstrate the uses of scripting languages
• To write simple scripts for the creation of web sites
• To create database applications
UNIT I WEBSITE BASICS 6
Internet Overview - Fundamental computer network concepts - Web Protocols - URL –
Domain Name- Web Browsers and Web Servers- Working principle of a Website –Creating
a Website - Client-side and server-side scripting.
UNIT II WEB DESIGNING 6
HTML – Form Elements - Input types and Media elements - CSS3 - Selectors, Box Model,
Backgrounds and Borders, Text Effects, Animations, Multiple Column Layout, User
Interface.
CLIENT-SIDE PROCESSING AND
UNIT III 6
SCRIPTING
JavaScript Introduction – Variables and Data Types-Statements – Operators - Literals-
Functions- Objects-Arrays-Built-in Objects- Regular Expression, Exceptions, Event
handling, Validation.
SERVER-SIDE PROCESSING AND
UNIT IV 6
SCRIPTING

B.Tech Information Technology Page 97 of 252

 PHP - Working principle of PHP - PHP Variables - Constants - Operators – Flow Control
and Looping - Arrays - Strings - Functions - File Handling - File Uploading – Email Basics
- Email with attachments - PHP and HTML - Simple PHP scripts - Databases with PHP.
SERVLETS AND DATABASE
UNIT V 6
CONNECTIVITY
Servlets: Java Servlet Architecture – Servlet Life cycle- Form GET and POST actions -
Sessions – Cookies – Database connectivity - JDBC Creation of simple interactive
applications - Simple database applications.
TOTAL PERIODS: 30
PRACTICAL EXERCISES
1. Creation of interactive web sites - Design using HTML and authoring tools
2. Form validation using JavaScript
3. Creation of simple PHP scripts
4. Handling multimedia content in web sites
5. Write programs using Servlets to invoke servlets from HTML forms
6. Creation of information retrieval system using web, PHP and MySQL
7. Creation of personal Information System
TOTAL PERIODS: 30
COURSE OUTCOMES
Upon completion of the course, students will be able to
CO1: Explain the basic concepts of web programming and internet protocols.
CO2 : Demonstrate
CO2: Demonstrate simplesimple web-applications
web-applications
CO3 : JavaScript,
Apply Apply JavaScript,
HTML andHTML and CSS effectively
CSS effectively to create and
to create interactive interactive
dynamicand
CO3: dynamic websites.
websites.
CO4 : Construct
CO4: Construct simplesimple PHP scripts
PHP scripts.
CO5 : Construct multimedia
CO5: Construct multimedia components components and database
and database applications.
applications.
TEXT BOOKS
Robin Nixon, "Learning PHP, MySQL, JavaScript, CSS & HTML5" Third Edition,
1.
O'Reilly publishers, 2014.
Paul Deitel, Harvey Deitel, Abbey Deitel, “Internet & World Wide Web - How to
2.
Program”, 5th edition, Pearson Education, 2012.
REFERENCE BOOKS
Jeffrey C. Jackson, "Web Technologies--A Computer Science Perspective", Pearson
1.
Education, 2006.
James F. Kurose, “Computer Networking: A Top-Down Approach”, Sixth Edition,
2.
Pearson Education, 2012
Steven Holzener , “PHP – The Complete Reference”, 1st Edition, Mc-Graw Hill,
3.
2017
Fritz Schneider, Thomas Powell , “JavaScript – The Complete Reference”, 3rd
4.
Edition, Mc- Graw Hill Publishers, 2017
Bates, “Developing Web Applications”, Wiley Publishers, 2006
5.

Mapping of Course Outcomes to Program Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3

B.Tech Information Technology Page 98 of 252

 CO1 3 2 3 1 - - - - - - - - - 3 -
CO2 3 3 3 2 - - - - - - - - - 3 -
CO3 3 3 3 1 - - - - - - - - - 3 -
CO4 3 3 3 2 - - - - - - - - - 3 -
CO5 3 3 3 2 - - - - - - - - - 3 -
CO 3 3 3 2 - - - - - - - - - 3 -
3-High, 2- Medium, 1-Low

Table of Specifications for End Semester Question Paper

Unit No. and Title Total Total Cognitive Level
2 16
Marks Marks Remembe Understa Apply Analyse
Qns. Qns. r (Re) nd (Un) (Ap) (An)
Evaluate
(Ev)
1(2)-CO1,
Unit-I: 1 either
2 1(2)-CO1 1 either or - -
Website Basics or
(16)-CO1

1(2)-CO2,
Unit-II: 1 either
2 1(2)-CO2 1 either or - -
Web Designing or
(16)-CO2
Unit-III:
1 1 either or
Client-Side 1(2)-CO3
2 either 1(2)-CO3 (16)-CO3 -
Processing and
or
Scripting
Unit-IV:
1 1 either or
Server-Side 1(2)-CO4,
2 either 1(2)-CO4 (16)-CO4 -
Processing and
or
Scripting
Unit-V:
Servlets and
1 either 1(2)-CO5 1 either or
Database 2 1(2)-CO5 -
or (16)-CO5
Connectivity

5 5(2)
2 either or
Total Qns. 10 either 5(2) 2 either or -
(16)
or (16)
Total Marks 20 80 10 42 48 -
Weightage 20% 80% 10% 42% 48% -
Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

B.Tech Information Technology Page 99 of 252

 DATABASE MANAGEMENT SYSTEMS L T P C
CS22405
LABORATORY 0 0 4 2
COURSE OBJECTIVES:
• To learn and implement important commands in SQL.
• To learn the usage of nested and joint queries.
• To understand functions, procedures and procedural extensions of databases.
• To understand design and implementation of typical database applications.
• To be familiar with the use of a front-end tool for GUI based application
development.

LIST OF EXPERIMENTS
1. Create a database table, add constraints (primary key, unique, check, not null), insert
rows, update and delete rows using SQL DDL and DML commands.
Create a set of tables, add foreign key constraints and incorporate referential
2.
integrity.
Query the database tables using different ‘where’ clause conditions and also
3.
implement aggregate functions.

4. Query the database tables and explore sub queries and simple join operations.
5. Query the database tables and explore natural, equi and outer joins.
6. Write user defined functions and stored procedures in SQL.
7. Execute complex transactions and realize DCL and TCL commands.
8. Write SQL Triggers for insert, delete, and update operations in a database table.
9. Create View and index for database tables with a large number of records.

10. Create an XML database and validate it using XML schema.

11. Create Document, column and graph based data using NOSQL database tools.
12. Data manipulation using MongoDB.
TOTAL: 60 PERIODS
List of Equipment: (30 Students per Batch)
MYSQL / SQL: 30 Users
COURSE OUTCOMES:
At the end of the course, the students will be able to:
CO1 Construct databases with different types of key constraints.
:
CO2 Develop simple and complex SQL queries using DML and DCL commands.
:
CO3 Experiment with advanced features such as stored procedures and triggers and
: incorporate in GUI based application development.
CO4 Build an XML database and validate with meta-data (XML schema).

B.Tech Information Technology Page 100 of 252

 :
CO5 Model and manipulate data using NOSQL database.
:

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 3 3 - - - - - - - - - 3 - -
CO2 3 3 3 - - - - - - - - - 3 - -
CO3 3 3 3 - - - - - - - - - 3 - -
CO4 3 3 3 - - - - - - - - - 3 - -
CO5 3 3 3 - - - - - - - - - 3 - -
CO 3 3 3 - - - - - - - - - 3 - -
3-High, 2- Medium, 1-Low

L T P C
IT22404 OPERATING SYSTEMS LABORATORY
0 0 4 2
COURSE OBJECTIVES
• To learn Unix commands and shell programming.
• To implement various CPU Scheduling Algorithms.
• To implement Process Creation and Inter-Process Communication.
• To implement Deadlock Avoidance Algorithms.
• To implement Page Replacement Algorithms.
• To implement File Allocation Strategies.
LIST OF EXPERIMENTS
1. Basics of UNIX commands.
2. Write programs using the following system calls of UNIX operating system fork,
exec, getpid, exit, wait, close, stat, opendir, readdir.
3. Shell Programming.
4. Write C programs to implement the various CPU Scheduling Algorithms.
5. Implementation of Semaphores.
6. Implementation of Shared memory and IPC.
7. Bankers Algorithm for Deadlock Avoidance.
8. Write C program to implement Threading & Synchronization Applications.
9. Implementation of the following Memory Allocation Methods for fixed partition
a) First Fit b) Worst Fit c) Best Fit
10. Implementation of Paging Technique of Memory Management.
11. Implementation of the following Page Replacement Algorithms
a) FIFO b) LRU c) LFU
12. Implementation of the following File Allocation Strategies
a) Sequential b) Indexed c) Linked
LAB REQUIREMENTS:
For a batch of 30 students Operating Systems: Linux / Windows

B.Tech Information Technology Page 101 of 252

 Compiler: C/C++/JAVA

TOTAL PERIODS: 60
COURSE OUTCOMES
At the end of the course, the student should be able to
CO1: Implement UNIX commands and shell programming.
CO2: Implement the various CPU Scheduling Algorithms.
CO3: Implement Process Creation and Inter Process Communications.
CO4: Implement Deadlock Avoidance and Deadlock Detection Algorithms.
Implement Page Replacement Algorithms, File organization and File allocation
CO5:
Strategies.

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 2 2 - - - - - - - - - 3 - -
CO2 3 3 2 - - - - - - - - - 2 - -
CO3 3 2 2 - - - - - - - - - 2 - -
CO4 3 2 2 - - - - - - - - - 2 - -
CO5 3 2 2 - - - - - - - - - 3 - -
CO 3 2 2 - - - - - - - - - 2 - -
3-High, 2- Medium, 1-Low

CODING SKILLS AND SOFT SKILLS TRAINING L T P C

SD22401
– PHASE II 0 0 4 2
COURSE OBJECTIVES
• To help students on developing modular applications using functions.
• To train them on building logics using strings and pointers.
• To make them develop applications using user defined data types.
• To train the students on speaking skills for group discussions.
• To set them correctly on the track of presentation skills and management skills.
UNIT I FUNCTIONS 12
Logic Building Using Functions – Programs on Recursion – Puzzles - Output of Programs -
Company Specific Programming Examples.
UNIT II STRINGS AND POINTERS 12
Logic Building Using Strings – Programs on Strings - Logic Building Using Pointers – Puzzles -
Output of Programs - Company Specific Examples.
UNIT III USER DEFINED DATATYPES 6

B.Tech Information Technology Page 102 of 252

 Logic Building Using Looping Statements – Number Programs – Programs on Patterns – Array
Programs – Programs on Sorting and Searching - Matrix Programs – Puzzles - Output of
Programs - Company Specific Programming Examples
COMMUNICATION SKILLS / LANGUAGE
UNIT IV 15
SKILLS
Receptive Skills and productive skills - Skills together - Integration of skills - Input and output
Receptive Skills: Listening and Reading - Lead-in - Pre-existent knowledge - General
understanding of the audio or the written text - Discussion in pairs or small groups – feedback -
Text-related task in detail - Focus on aspects of language in the text. Productive Skills: Speaking
and Writing - lead-in - engaging students with the topic - setting the task - role-play - Monitoring
the task - Giving the feedback-positive- task-related follow up - repetition / re-setting of task.
Activities: Pronunciation: syllable, stress, intonation - Writing memos, e-mails and formal letters
- Oral presentations / seminars - Written and Oral Descriptions Group discussions.
SOFT SKILLS: SEARCH AND FIND FOR CAREER
UNIT V 15
DEVELOPMENTS
Self-motivation: Interpersonal relationship - Attitudes and interpersonal integrity – Time
management – prioritizing - Leadership quality – In the team: Team building and Team work -
Memory technique Problem solving: – emotional intelligence – positive attitude towards life –
taking up initiatives – developing mind set –openness to feed back – adaptability – active listening
– work ethics. Presentation of skills: creative thinking – critical thinking – logical thinking -
decision making. Management ability: empathy – selflessness – humility – cultural respectfulness
– versatility – generosity – trustworthiness – planning and executing – target achievement –
listening to others’ views – friendliness - active participation – empowering healthy atmosphere
– exchange of ideas – mediation – negotiation – qualities – updating the knowledge – pre-work
for performance – respect for 4 rules and regulations.
SUGGESTIVE ASSESSMENT METHODS:
1) Pre Assessment Test – To check the student’s previous knowledge in Programming
skills.
2) Internal Assessment I for coding skills will be conducted for 100 marks which are
then calculated to 20.
3) Internal Assessment II for coding skills will be conducted for 100 marks which are
then calculated to 20.
4) Model Exam for coding skills will be conducted for 100 marks which are then
calculated to 20.
5) A test for Communication skills will be conducted for 100 marks which will be then
calculated to 40.
6) For assignments, students should attend all the practice tests conducted online on
HackerRank. Each assignment will be for 100 marks and finally the total marks obtained
by a student in all tests will be reduced to 40 marks.
8) The total of 100 marks obtained from the tests will be then calculated to 60 marks
and additional of 40 marks will be given for assignments which will make it a total
of 100.
TOTAL PERIODS: 60

B.Tech Information Technology Page 103 of 252

 COURSE OUTCOMES

Upon completion of the course, the students will be able to.

CO1: Develop and implement modular applications using functions.

CO2: Develop logics using strings and pointers.

CO3: Develop applications in C using user defined datatypes.

Practice both receptive skills (listening and reading) and productive skills (writing and
CO4: speaking) and speak English with standard pronunciation using correct stress and
intonation.
Practice team building and team work procedures and develop memory techniques and
CO5: manage abilities like empathy, selflessness, cultural respectfulness and trustworthiness
preparing themselves for target achievement.
TEXT BOOKS

1. Reema Thareja, “Programming in C”, Oxford University Press, Second Edition, 2016.
Kernighan, B.W and Ritchie,D.M, “The C Programming language”, Second Edition,
2.
Pearson Education, 2015.
REFERENCE BOOKS
Anita Goel and Ajay Mittal, “Computer Fundamentals and Programming in C”, 1st
1.
Edition, Pearson Education, 2013.
Paul Deitel and Harvey Deitel, “C How to Program with an Introduction to C++”,
2.
Eighth edition, Pearson Education, 2018.
E Balagurusamy, “Programming in ANSI C”, Eighth edition, Mc GrawHill
3.
Publications, 2019.
S.Sobana, R.Manivannan, G.Immanuel,‘Communication and Soft Skills’ VK
4.
Publications’, 2016.
Zed Shaw, “ Learn C the Hard Way: Practical Exercises on the Computational Subjects
5.
You Keep Avoiding”, Zed Shaw’s Hardway Series, 2015.

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 2 2 - 1 1 1 - - - 1 2 2 1 2
CO2 3 2 2 - 1 1 1 - - - 1 2 2 1 2
CO3 3 2 2 - 1 1 1 - - - 1 2 2 1 2
CO4 - - - - - - - 1 2 3 - 2 - - -

B.Tech Information Technology Page 104 of 252

 CO5 - - - - - - - 1 2 3 - 2 - - -
CO 3 2 2 - 1 1 1 1 2 3 1 2 2 1 2
3-High, 2- Medium, 1-Low

L T P C
AC22401 INDUSTRIAL SAFETY ENGINEERING
2 0 0 0
COURSE OBJECTIVES
• To explain the fundamental concept and principles of industrial safety.
• To apply the principles of maintenance engineering.
• To analyse the wear and its reduction.
• To evaluate faults in various tools, equipment and machines.
• To apply periodic maintenance procedures in preventive maintenance.
UNIT I INDUSTRIAL SAFETY 6
Accident, causes, types, results and control, mechanical and electrical hazards, types, causes
and preventive steps/procedure, describe salient points of factories act 1948 for health and
safety, wash rooms, drinking water layouts, light, cleanliness, fire, guarding, pressure
vessels, etc, Safety color codes. Fire prevention and firefighting, equipment and methods.
UNIT II MAINTENANCE ENGINEERING 6
Definition and aim of maintenance engineering, Primary and secondary functions and
responsibility of maintenance department, Types of maintenance, Types and applications of
tools used for maintenance, Maintenance cost & its relation with replacement economy,
Service life of equipment.
WEAR AND CORROSION AND THEIR
UNIT III 6
PREVENTION
Wear- types, causes, effects, wear reduction methods, lubricants-types and applications,
Lubrication methods, general sketch, working and applications, i. Screw down grease cup,
ii. Pressure grease gun, iii. Splash lubrication, iv. Gravity lubrication, v. Wick feed
lubrication vi. Side feed lubrication, vii. Ring lubrication, Definition, principle and factors
affecting the corrosion. Types of corrosion, corrosion prevention methods.
UNIT IV FAULT TRACING 6
Fault tracing-concept and importance, decision tree concept, need and applications, sequence
of fault finding activities, show as decision tree, draw decision tree for problems in machine
tools, hydraulic, pneumatic, automotive, thermal and electrical equipment’s like, i. Any one
machine tool, ii. Pump iii. Air compressor, iv. Internal combustion engine, v. Boiler,vi.
Electrical motors, Types of faults in machine tools and their general causes.
UNIT V PERIODIC AND PREVENTIVE MAINTENANCE 6
Periodic inspection-concept and need, degreasing, cleaning and repairing schemes,
overhauling of mechanical components, overhauling of electrical motor, common troubles
and remedies of electric motor, repair complexities and its use, definition, need, steps and
advantages of preventive maintenance. Steps/procedure for periodic and preventive
maintenance of: i. Machine tools, ii. Pumps, iii. Air compressors, iv. Diesel generating (DG)
sets, Program and schedule of preventive maintenance of mechanical and electrical
equipment, Advantages of preventive maintenance. Repair cycle concept and importance.
TOTAL PERIODS: 30
COURSE OUTCOMES

B.Tech Information Technology Page 105 of 252

 At the end of the course, the students would be able to
CO1: Explain the fundamental concept and principles of industrial safety.
CO2: Apply the principles of maintenance engineering.
CO3: Analyze the wear and its reduction.
CO4: Evaluate faults in various tools, equipment and machines.
CO5: Apply periodic maintenance procedures in preventive maintenance.
TEXT BOOKS
L M Deshmukh, Industrial Safety Management, Tata McGraw-Hill Education,
1.
2005.
Charles D. Reese, Occupational Health and Safety Management: A Practical
2.
Approach, CRC Press, 2003.
REFERENCES:
Edward Ghali, V. S. Sastri, M. Elboujdaini, Corrosion Prevention and Protection:
1.
Practical Solutions, John Wiley & Sons, 2007.
2. Garg, HP, Maintenance Engineering, S. Chand Publishing.
J Maiti, Pradip Kumar Ray, Industrial Safety Management: 21st Century Perspectives
3.
of Asia, Springer, 2017.
4. R. Keith Mobley, Maintenance Fundamentals, Elsevier, 2011.
W. E. Vesely, F. F. Goldberg, Fault Tree Handbook, Create space Independent Pub,
5.
2014.

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 2 1 2 - - 2 1 - - - - 1 - - 2
CO2 2 1 2 - - 2 1 - - - - 1 - - 2
CO3 2 1 2 - - 2 1 - - - - 1 - - 2
CO4 2 1 2 - - 2 1 - - - - 1 - - 2
CO5 2 1 2 - - 2 1 - - - - 1 - - 2
CO 2 1 2 - - 2 1 - - - - 1 - - 2
3-High, 2- Medium, 1-Low

B.Tech Information Technology Page 106 of 252

 SEMESTER V
L T P C
IT22501 DATA COMMUNICATION AND NETWORKING
2 0 2 3

COURSE OBJECTIVES

• To understand the protocol layering.

• To analyse the performance of the Networks.
• To understand the various components required to build different networks.
• To learn function of a network layer.
• To familiarize the functions and protocols of the transport layer.
UNIT I INTRODUCTION AND PHYSICAL LAYER 6
Networks – Network Types – Protocol Layering – TCP/IP Protocol suite – OSI Model – Physical
Layer: Performance – Transmission media : Guided media-Unguided media: Wireless–
Switching.

UNIT II DATALINK LAYER 6

Introduction-nodes and link-Two types of links-Two sublayers -Data link control: Framing-Error
control-Two DLC protocols – Link-Layer Addressing – DLC Services – Data-Link Layer
Protocols – HDLC.

UNIT III NETWORK LAYER 6

Network Layer Services: Packetizing-Routing-Error Control-Flow Control-Congestion Control-
quality of service-Network layer performance: Delay-Throughput-packet loss – Packet switching
– Performance – IPV4 Addresses – Forwarding of IP Packets – Network Layer Protocols: IP,
ICMP v4.

UNIT IV TRANSPORT LAYER 6

Introduction – Transport Layer Protocols: Services – Port Numbers – User Datagram Protocol:
UDP services-UDP applications-Transmission control protocol: TCP services-TCP features-
Segment-A TCP connection-State Transition Diagram-SCTP: SCTP services-SCTP features.

UNIT V APPLICATION LAYER 6

WWW and HTTP – FTP – Email –Telnet-Secure Shell (SSH)-Domain Name System(DNS).

TOTAL PERIODS: 30
PRACTICAL EXERCISES
1 Study of network commands.
2 Write a HTTP web client program to download a web page using TCP sockets.
3 Applications using TCP sockets - chat, file transfer.

B.Tech Information Technology Page 107 of 252

 4 Simulation of DNS using UDP sockets.

5 Write a code simulating ARP /RARP protocols.

6 TCP and UDP performance using network simulation tools.
Simulation of Error Correction Code(like CRC), Distance Vector Routing/Link
7
State Routing Protocol.
TOTAL PERIODS: 30
COURSE OUTCOMES
Upon completion of the course, students will be able to

CO1: Explain the concepts of Data Communication, basic layers and its function
in computer networks.
CO2: Infer the concepts of datalink layer.
CO3: Apply routing algorithms and their functionality.
CO4: Apply the working of transport and application layer protocol.
CO5: Analyse the performance of TCP and UDP.
TEXT BOOKS
Behrouz A. Forouzen, “Data Communications and Networking with TCP/IP
1. Protocol Suite”, Sixth Edition, TMH,2022.

William Stallings, “Data and Computer Communications”, Eighth Edition,

2. Pearson Education, 2023.

REFERENCE BOOKS
Larry Peterson, Bruce S. Davie, “Computer Networks: A system Approach”,
1. Fifth Edition, Morgan Kaufmann Publishers Inc , 2012.
Doug Lowe, “Networking all-in one Dummies”, Seventh Edition, Wiley Publication,
2. 2018.

Nader F. Mir, “Computer and Communication Networks”, Second Edition, Prentice

3. hall, 2015.

4. Ying-Dar Lin, Ren-Hung Hwang and Fred Baker, “Computer Networks: An

open Source Approach”, McGraw Hill Publishers, 2011.
5. James F. Kurose, Keith W.Ross, “Computer Networking, A top-Down
Approach Featuring the Internet”, Sixth Edition, Pearson Education, 2013.

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 3 2 - - - - - - - - - 3 - -

B.Tech Information Technology Page 108 of 252

 CO2 3 2 2 - - - - - - - - - 3 - -
CO3 2 3 3 - - - - - - - - - 3 - -
CO4 3 3 3 - - - - - - - - - 3 - -
CO5 3 3 3 - - - - - - - - - 3 - -
CO 3 3 3 - - - - - - - - - 3 - -
3-High, 2- Medium, 1-Low

Table of Specifications for End Semester Question Paper

Unit No. and Total Total 16 Cognitive Level
Title 2 Marks
Mark Qns. Remembe Understa Apply Analyse
s Qns. r (Re) nd (Un) (Ap) (An)
Evaluate
(Ev)
Unit-I: 2 1 either 2(2)-CO1 1 either or - -
Introduction and or (16)-
Physical Layer CO1

1 either or
Unit-II: 1 either 2(2)-
2 (16)- - -
Datalink Layer or CO2
CO2
1 either
Unit-III: 1 either or
2 1(2)-C03 1(2)- C03 -
Network Layer or (16)-
C03
1 either
Unit-IV: 1 either 1(2)- or
2 1(2)-CO4 - .
Transport Layer or CO4 (16)-
CO4
Unit-V: 1 either or
1 either
Application 2 1(2)-CO4 1(2)-CO4 (16)- -
or
Layer CO4
3(2)
2 3 either
5 either
Total Qns. either or -
10 or 7(2)
or (16)
(16)
Total Marks 20 80 14 38 48 -

Weightage 20% 80% 14% 38% 48% -

Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

B.Tech Information Technology Page 109 of 252

 L T P C
IT22502 SOFTWARE ENGINEERING
2 0 2 3
COURSE OBJECTIVES
• To understand the fundamentals of software engineering
• To understand software requirements and UML diagrams
• To understand the software design concepts
• To apply the various software testing methodologies
• To learn various project estimation methods
INTRODUCTION TO SOFTWARE
UNIT I 6
ENGINEERING
Introduction to Software Engineering: The evolving role of software, changing nature of
software, a layered technology. Software Process, Process Models: The waterfall model,
incremental process models, evolutionary process models, Agility: Agile process, Extreme
programming.
SOFTWARE REQUIREMENTS AND
UNIT II 6
OBJECT MODELLING
Software Requirements: Functional and non-functional requirements, user requirements,
system requirements. Requirements engineering process, Object modelling with UML: Use
case diagram, Class diagram, Sequence diagram, Collaboration diagram.
DESIGN ENGINEERING
UNIT III 6

Design process: design concepts, design model, design heuristic. Architectural Design:
architectural styles, architectural Design, architectural mapping using data flow, Component
level Design: designing class-based components.
UNIT IV SOFTWARE TESTING 6
Testing Strategies: A strategic approach to software testing, black-box and white-box testing.
Regression testing, unit testing, integration testing, validation testing, system testing, and the
art of debugging.
UNIT V PROJECT ESTIMATION 6
Software Project Estimation — LOC, FP Based Estimation, Make/Buy Decision, COCOMO
I model, COCOMO II model, Risk management.
TOTAL PERIODS: 30

PRACTICAL EXERCISES

1 Identify a software system that needs to be developed.

2 Document the Software Requirements Specification (SRS) for the identified system.
3
Identify use cases and develop the Use Case model.

B.Tech Information Technology Page 110 of 252

 4 Identify the conceptual classes, derive a Class Diagram and generate code.
Using the identified scenarios, find the interaction between objects and represent
5
them using UML Sequence and Collaboration Diagrams
6 Draw relevant State Chart and Activity Diagrams for the system.
7 Implement the system as per the detailed design.
TOTAL PERIODS: 30
COURSE OUTCOMES
Upon completion of the course, students will be able to
CO1: Describe the basics of software process models.
CO2: Express the requirements of a system with UML diagrams.
CO3: Explain software design concepts.
CO4: Apply various testing strategies.
CO5: Analyze project estimation techniques.
TEXT BOOKS
1. Larman Craig, “Applying UML and Patterns”, Third Edition, Pearson, 2015.
Roger S. Pressman, “Software Engineering - A Practitioner‟s Approach”, Seventh
2.
Edition, McGraw-Hill International Edition, 2010.
REFERENCE BOOKS
Ali Bahrami, “Object Oriented Systems Development”, McGraw Hill International
1.
Edition,2012.
Hessam Ashrafi and Noushin Ashrafi, "Object Oriented Systems Analysis and
2.
Design: Pearson New International Edition", Pearson Education Limited, 2013.
Simon Bennett, Ray Farmer and Steve McRobb, ”Object-Oriented Systems Analysis
3.
and Design Using UML", McGraw-Hill Europe, 2010.
Ian Sommerville, “Software Engineering”, Ninth Edition, Pearson Education Asia,
4.
2011.
Rajib Mall, “Fundamentals of Software Engineering”, Fourth Edition, PHI Learning
5.
Private Limited, 2014.

Mapping of Course Outcomes to Program Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 3 3 - 2 - - - - - - - 2 - -
CO2 3 3 3 - 2 - - - - - - - 2 - -
CO3 3 3 3 - 2 - - - - - - - 2 - -
CO4 3 3 3 1 3 - - - - - - - 2 - -
CO5 3 3 3 1 3 - - - - - - - 2 - -
CO 3 3 3 1 3 - - - - - - - 2 - -
3-High, 2- Medium, 1-Low

B.Tech Information Technology Page 111 of 252

 Table of Specifications for End Semester Question Paper

Unit No. and Title Total 2 Total Cognitive Level

Marks 16 Remember Understand Apply Analyse
Qns. Marks (Kn) (Un) (Ap) (An)
Qns. Evaluate
(Ev)
Unit-I:
1(2)-CO1,
Introduction to 1 either
2 1(2)-CO1 1 either or - -
Software or
(16)-CO1
Engineering
Unit-II:
1(2)-CO2,
Software 1 either
2 1(2)-CO2 1 either or - -
Requirements and or
(16)-CO2
Object Modelling
1(2)-CO3,
Unit-III:
1 either 1 either or
Design 2 1(2)-CO3 - -
or (16)-CO3
Engineering
1 either
Unit-IV:
1 either 1(2)-CO4, or (16)-
Software Testing 2 1(2)-CO4 -
or CO4

Unit-V: Project 1 either

1 either 1(2)-CO5
Estimation 2 1(2)-CO5 - or (16)-
or
CO5
5(2)
5 either 2 either
Total Qns. 10 5(2) 3 either or -
or or (16)
(16)
Total Marks 20 80 10 58 32 -
Weightage 20% 80% 10% 58% 32% -
Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

MOBILE APPLICATION DEVELOPMENT L T P C

T22503 LABORATORY
1 0 2 2
COURSE OBJECTIVES:
• Use Flutter/Kotlin multi-platform environment for building cross-platform mobile
applications.
• Demonstrate the knowledge of different programming techniques and patterns for
mobile application development.

B.Tech Information Technology Page 112 of 252

 • Identify the components and structure of mobile application development
frameworks.
• Understand the capabilities and limitations of different platforms.
• Design and develop real-time mobile applications.
UNIT I INTRODUCTION TO MOBILE APPLICATION 3
Mobile Application Development - Mobile Applications and Device Platforms -
Alternatives for Building Mobile Apps.
UNIT II INTRODUCTION TO FLUTTER 3
What is Flutter? , Why Flutter? , The other options, Native Solutions, What is Dart?
UNIT III BASICS OF DART 3
Keywords, Built-in types, Functions, Operators, Control Flow statements, Exceptions,
Classes, generics, Libraries and visibility.
UNIT IV BASICS OF WRITING FLUTTER CODE 3
Basic Widgets such as Appbar, Column, Row, Container, Image, Icon, Buttons and Text.
UNIT V FLUTTER UI 3
Important widgets, Theme and Layout. User interaction: Forms and Gestures.
TOTAL: 15 PERIODS
LIST OF EXPERIMENTS
1. Installation of Flutter multi-platform environment
2. Develop an application that uses Widgets, GUI components, Fonts, and
Colors.
3. Develop a native calculator application.
4. Develop a gaming application that uses 2-D animations and gestures.
5. Develop a movie rating application
6. Develop an application to connect to a web service and to retrieve data with
HTTP.
7. Develop a simple shopping application002E.
8. Design a web server supporting push notifications.
9. Develop an application by integrating Google maps.
TOTAL: 30 PERIODS
COURSE OUTCOMES:
At the end of the course, the students will be able to:

CO1: Explain the various mobile application development environments with its
features.
Apply various programming techniques and patterns to build mobile
CO2:
applications.
CO3: Build real-time mobile applications for society/environment.
CO4: Build gaming and multimedia based mobile applications.
Build AI based mobile applications for society/environment following
CO5: ethical practices.

B.Tech Information Technology Page 113 of 252

 REFERENCES:
Simone Alessandria, “Flutter Projects: A practical project-based guide to
1 building real-world cross-platform mobile applications and games”, Packt
publishing, 2020.

2 Eric Windmill ,“Flutter in Action”, Manning Publications, 2020.

Rap Payne, “Beginning App development with Flutter: Create Cross Platform
3
Mobile Apps”, APress, 2019.
Carmine Zaccagnino, “Programming Flutter: Native, Cross-Platform Apps
4
the Easy Way (The Pragmatic Programmers)”, Packt publishing, 2020.
LIST OF EQUIPMENT FOR A BATCH OF 30 STUDENTS:
30 Standalone desktops with Windows or Android or iOS or Equivalent Mobile Application
Development Tools with appropriate emulators and debuggers.

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 2 1 1 3 - - - - - - 1 3 - -
CO2 3 2 1 2 3 - - - - - - 1 3 - -
CO3 3 2 1 1 3 - - - - - - 1 3 - -
CO4 3 3 2 1 3 - - - - - - 1 3 - -
CO5 3 3 1 1 3 - - - - - - 1 3 - -
CO 3 2 1 1 3 - - - - - - 1 3 - -
3-High, 2- Medium, 1-Low

L T P C
IT22504 TECHNICAL SEMINAR
0 0 2 1
COURSE OBJECTIVES

• To encourage the students to study advanced engineering developments.

• To prepare and present technical reports.

• To encourage the students to use various teaching aids such as overhead projectors,
power point presentation and demonstrative models.
METHOD OF EVALUATION
During the seminar session each student is expected to prepare and present a topic on
engineering/ technology, for a duration of about 8 to 10 minutes. In a session of three periods
per week, 15 students are expected to present the seminar. Each student is expected to present
atleast twice during the semester and the student is evaluated based on that. At the end of the

B.Tech Information Technology Page 114 of 252

 semester, he / she can submit a report on his / her topic of seminar and marks are given based
on the report. A Faculty guide is to be allotted and he / she will guide and monitor the
progress of the student and maintain attendance also. Evaluation is 100% internal.

TOTAL PERIODS: 30

COURSE OUTCOMES

Upon completion of the course, the student should be able to

CO1: Review, prepare and present technological developments.

CO2: Face the placement interviews.

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes
1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 2 2 - - - - - - 2 2 1 2 - 2 3
CO2 2 2 - - - - - - 2 2 - 2 - 2 3
CO 2 2 - - - - - - 2 2 1 2 - 2 3
3-High, 2- Medium, 1-Low

IT22505 L T P C
INPLANT/INDUSTRIAL TRAINING
0 0 0 1
COURSE OBJECTIVES:
• To Provide possible opportunities to learn, understand and sharpen the real time
technical / managerial skills required
• To apply the Technical knowledge in real industrial situations.
• To gain experience in writing Technical reports/projects.
• To expose the students to experience the engineer’s responsibilities and ethics.
• To promote academic, professional and/or personal development.
Inplant/Industrial Training Duration
The students may undergo Industrial training for a period as specified in the
Curriculum during the summer / winter vacation. In this case, the training has to be
undergone continuously for a period of at least two weeks in an organization.
METHOD OF EVALUATION
The student will bring the training report and will give a seminar based on his training
report, before an expert committee constituted by the concerned department as per norms of
the institute. The evaluation will be based on the following criteria:
o Quality of content presented.
o Proper planning for presentation.
o Effectiveness of presentation.
o Depth of knowledge and skills.

B.Tech Information Technology Page 115 of 252

 o Innovation the content
At the end of the course, the students will be able to:
CO1: Interpret how the theoretical aspects learned in classes are integrated into the
practical world.
CO2: Make use of the opportunity to learn new skills and supplement knowledge.
CO3: Develop communication and teamwork skills
CO4: Motive the student for higher education.
CO5: Formulate to learn strategies like time management, multi-tasking etc in an
industrial setup

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 2 2 1 1 3 3 - - 2 2 1 2 2 2 3
CO2 2 2 1 2 3 - - - 2 2 - 2 2 2 3
CO3 - - - - - - - - 2 2 - 2 2 2 3
CO4 - - - - - - - - 2 2 - 2 2 2 3
CO5 - - - - - 3 1 1 2 2 1 2 2 2 3
CO 2 2 1 2 3 3 1 1 2 2 1 2 2 2 3
3-High, 2- Medium, 1-Low

CODING SKILLS AND SOFT SKILLS TRAINING – L T P C

SD22501
PHASE III 0 0 4 2
COURSE OBJECTIVES
● To make the students develop logics using basic Programming Logics, Decisional
Statements, Arrays and Strings.
● To help the students know how to use classes and objects.

● To enable the students to implement programs using OOPs Concepts.

● To train the students on interview skills with mock interviews and updated / enhanced
resumes
● To prepare students for taking initiatives and decision making with critical thinking

BASIC PROGRAMMING CONSTRUCTS & SOFT

UNIT I 12
SKILLS: TIME MANAGEMENT
Structured vs Object oriented programming language – Output of programs on basic I/O
functions – Logic building using Decisional Statements – Programs on Patterns and
Numbers - Debugging – Puzzles - Company specific programming examples.
Soft Skills: Time management: Prioritizing – Delegation - Decision-making - Goal setting
– Multitasking - Problem solving - Strategic thinking - Scheduling – Planning - to-do lists
and checklists - Evaluating urgent tasks - Auditing and improving workflows - Filtering

B.Tech Information Technology Page 116 of 252

 notifications - Setting thoughtful deadlines – Evaluating the work done schedules –
Grouping similar tasks – Learn to say ‘no’.
PROGRAMMING USING FUNCTIONS AND ARRAYS
UNIT II & SOFT SKILLS: STRESS MANAGEMENT AND 12
EMOTIONAL QUOTIENT
Logic building using modular approach – Programming using Friend Function – Programs
on Matrices and strings – Puzzles – Output of programs - Company specific programming
examples.
Soft Skills: Stress management: Using guided meditation - Maintain physical exercise and
good nutrition - Manage social media time - Connect with others – read and relax.
Emotional Quotient: Overcoming challenges – defusing conflict - Self-awareness - Self-
regulation - Professional etiquette – Avoiding doubt – Introducing others – Courteousness –
Non-interruption – Avoiding gossip.
IMPLEMENTING OOPS CONCEPTS & SOFT
UNIT III SKILLS: VALUES OF LIFE AND BEHAVIOURAL 12
ATTITUDES
Discussion on basics of OOPs Concepts – Solving problems based on Data Members and
Member Functions – Programs based on Construction and Destruction of Objects - Puzzles
- Output of Programs – Understanding Access Specifiers – Company specific programming
examples.
Soft Skills: Values of life: Loyalty to others and responsibilities – Living with Spirituality
– Maintaining humility – Possessing compassion – Proving being honest – developing
kindness – Learning to have integrity – Embracing responsibility. Behavioural attitudes:
Behaving with sportive attitude – Respecting the freedom of the others – Being bold –
Enhancing fun and joy.
LOGIC BUILDING USING INHERITANCE AND
UNIT IV ABSTRACTION & SOFT SKILLS: EMPLOYERS 12
EXPECTATIONS AND RESUME ENHANCEMENT
Understanding Super class and Derived Class – Logic building based on inheritance –
Programming using Pure Virtual Function and Abstract Classes- The Final Keyword –
Puzzles - Output of Programs – Company specific programming examples.
Soft Skills: Employers expectations: Contributing to the team – Being with stability –
Developing the ability to grow - Improving the productivity. Resume enhancement: Select
the best template for your skills, experience, and goals Adding skills to be an expert -
Robusting and compelling objective – Displaying online presence - Quantifying
accomplishments various roles.
PROGRAMMING USING ENCAPSULATION AND
UNIT V POLYMORPHISM & SOFT SKILLS: INTERVIEW 12
SKILLS
Understanding how Encapsulation works – Understanding the term Polymorphism –
Programming using Function Overloading and Overriding – Puzzles – Output of programs
– Company specific programming examples.

B.Tech Information Technology Page 117 of 252

 Soft Skills: Interview Skills: Clarifying interview questions - Communicate nonverbally -
Knowing the resume thoroughly - Leveraging knowledge of the company and interviewer -
Mock interviews – Getting rehearsed before moving for interviews.

TOTAL PERIODS:60

Suggestive Assessment Methods:

Pre Assessment Test – To check the student’s previous knowledge in
1
Programming skills.
Internal Assessment I for coding skills will be conducted for 100 marks which
2
are then calculated to 20.
Internal Assessment II for coding skills will be conducted for 100 marks which
3
are then reduced to 20.
Model Exam for coding skills will be conducted for 100 marks which are then
4
calculated to 20.
A test for Soft Skills will be conducted for 100 marks which will be then
5
calculated to 40.
For assignments, students should attend all the practice tests conducted online on
6 HackerRank. Each assignment will be for 100 marks and finally the total marks
obtained by a student in all tests will be reduced to 40 marks.
The total of 100 marks obtained from the tests will be then calculated to 60
7 marks and additional of 40 marks will be given for assignments which will make
it a total of 100.
COURSE OUTCOMES

On completion of this course, the students will be able to:

CO1: Develop programs using Functions, Strings and Arrays.

CO2: Write programs using Classes and Objects.

CO3: Develop applications using OOPs Concepts.

Apply all the interview skills learned with updated resumes and language skills
CO4:
balancing technical skills and interpersonal skills.

Attend different job interviews with emotional balance and achieve the target
CO5:
with right planning and unique solutions.

TEXT BOOKS

1. Balagurusamy E, “Object Oriented Programing with C++”, Eighth Edition, Tata

McGraw Hill Education Pvt.Ltd, 2020.

2. Anthony Williams, “C++ Concurrency in Action”, Second Edition, Manning

Publications, 2019.

REFERENCES

B.Tech Information Technology Page 118 of 252

 1. Bjarne Stroustrup, “A Tour of C++”, Second Edition, Pearson Education, 2018.

2. Scott Meyers, “Effective Modern C++”, O’Reilly Publication, December 2014.

3. Stanely Lippman, Josee Lajoie, Barbara Moo, “C++ Primer”, Fifth Edition,
Pearson Education, 2012.

4. Bjarne Stroustrup, “The C++ Programming Language”, Fourth Edition, Pearson

Education, 2013.
S.Sobana, R.Manivannan and G.Immanuel, “Communication and Soft Skills”,
5. VK Publications, 2016.

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 2 2 2 - 1 1 1 - - - 1 2 2 1 2
CO2 2 2 2 - 1 1 1 - - - 1 2 2 1 2
CO3 2 2 2 - 1 1 1 - - - 1 2 2 1 2
CO4 - - - - - - - 1 2 2 - 2 - - -
CO5 - - - - - - - 1 2 2 - 2 - - -
CO 2 2 2 - 1 1 1 1 2 2 1 2 2 1 2
3-High, 2- Medium, 1-Low

L T P C
AC22501 ENTREPRENEURSHIP DEVELOPMENT
2 0 0 0
COURSE OBJECTIVES

The main learning objective of this course is to prepare the students for:
• Explaining the types, characteristics of entrepreneurship and its role in economic
development.
• Applying the theories of achievement motivation and the principles of
entrepreneurship development program to enterprise.
• Selecting the appropriate form of business ownership in setting up an enterprise.

• Applying the fundamental concepts of finance and accounting to enterprise.

• Identifying sickness in industry, selecting the appropriate corrective measures, and
identifying the growth strategies in enterprise.
UNIT I ENTREPRENEURSHIP 6

B.Tech Information Technology Page 119 of 252

 Entrepreneur - Characteristics - Types of Entrepreneurs - Difference between Entrepreneur
and Intrapreneur, Entrepreneurial Competencies - Role of Entrepreneurship in Economic
Development - Factors Affecting Entrepreneurial Growth.
UNIT II BUSINESS PLAN 6
Sources of business ideas and tests of feasibility: Significance of writing the business plan/
project proposal; Contents of business plan/ project proposal; Designing business processes,
location, layout, operation; Project Appraisal, preparation of project report.
UNIT III SMALL SCALE INDUSTRIES 6
Legal formalities in setting up of SSIs, Business Laws, Governmental Setup in promoting
small industries, Status of Small Scale Industrial Undertakings, Steps in starting a small
industry, Ownership Structures.
UNIT IV FINANCING AND ACCOUNTING 6
Finance: Need, Sources, Capital Structure, Term Loans - Accounting: Need, Objectives,
Process, Journal, Ledger, Trial Balance, Final Accounts - Working Capital Management.
UNIT V SUPPORT TO ENTREPRENEURS 6
Government Policy for Small Scale Enterprises - Institutional Support to Entrepreneurs:
Need and Support - Taxation Benefits to Small Scale Industry, Social Responsibility of
Business.
TOTAL PERIODS: 30

COURSE OUTCOMES

Upon completion of this course, the students will be able to:

Explain the types, characteristics of entrepreneurship and its role in economic
CO1:
Development
Apply the theories of achievement motivation and the principles of
CO2:
entrepreneurship development program.
CO3: Select the appropriate form of business ownership in setting up an enterprise.

CO4: Apply the fundamental concepts of finance and accounting to enterprise.

Identify sickness in industry, select the appropriate corrective measures, and
CO5:
identify the growth strategies in enterprise.
TEXT BOOKS
S.S.Khanka, “Entrepreneurial Development”, S.Chand & Co. Ltd, 2007.
1.
Kurahko & Hodgetts, “Entrepreneurship – Theory, process and practices”, Sixth
2.
Edition, Thomson learning, 2010.
REFERENCE BOOKS

B.Tech Information Technology Page 120 of 252

 Charantimath P. M., “Entrepreneurship Development and Small Business
1.
Enterprises”, Pearson Education, 2006.
Hisrich R D and Peters M P, “Entrepreneurship”, Fifth Edition, Tata McGraw-
2.
Hill, 2002.
Mathew J Manimala, “Entrepreneurship theory at cross roads: paradigms and
3.
praxis”, Second Edition, Dream tech, 2006.
Rabindra N. Kanungo, “Entrepreneurship and innovation”, Sage Publications,
4.
1998.
Singh, A. K., “Entrepreneurship Development and Management”, University
5.
Science Press, 2009.

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 - 1 - - 1 - 1 2 1 2 - 1 - - 1
CO2 - - 1 - 1 1 1 2 2 2 - 1 - - 1
CO3 - - 1 - - 2 1 1 1 1 - 1 - - 1
CO4 1 - 1 - - 2 1 - 1 1 1 - - - 1
CO5 - 1 - 1 - 1 1 - 1 1 - 1 - - 1
CO 1 1 1 1 1 2 1 2 1 1 1 1 - - 1
3-High, 2- Medium, 1-Low

L T P C
HS22501 VALUE EDUCATION – II
1 0 0 0
Course objectives

• To impart knowledge on essential qualities to become a good leader.

• To prepare them to have the ability to relate with others and contribute to industrial
and human development.

• To teach the significance of being responsible citizens of the society.

UNDERSTANDING THE SOCIETY AND

UNIT I 3
BECOMING A LEADER
Problems of our society and their causes – styles of leadership – qualities and skills of
leadership.
PRACTICING LEADERSHIP FOR SOCIAL
UNIT II 4
CHANGE

B.Tech Information Technology Page 121 of 252

 Possible areas of changes in the society with education – Utilising Engineering education
to create social changes – strategies and people movement for the change.

BALANCING PROFESSIONAL, PERSONAL,

UNIT III 4
FAMILY FOR FULLNESS OF LIFE
Healthy adult as an individual and family – stages of life – strategies to balance life.
INNOVATIVE SOCIAL COMMITMENT,
UNIT IV 4
SPIRITUALITY AND SOCIAL NETWORKING
Social commitment as a healthy spirituality – systematic contribution to society and
industry – Networking professionals for growth and change.
TOTAL PERIODS: 15
COURSE OUTCOMES
Upon completion of the course, the students will be able to
CO1: Demonstrate the essential steps to become good leaders.
CO2: Identify the various societal problems and also the solution.
CO3: Realise their role and contribution to nation building.
CO4: Apply the essential steps to become value based professionals.
TEXT BOOKS:
1. Warren G.Bennis. “On Becoming a Leader. Basic Books”, 2009.
2. Suresh Agarwal, “Social Problems in India”, Rajat Publications, 2015.
REFERENCES:
1. Biswaranjan Mohanty, “Constitution, Government and Politics in India”, New
Century Publication, 2009.
2. Myles Munroe, “Releasing Your Potential”, Destiny Image, 2007.
Kelsang Gyatso, “How to Solve Our Human Problems: The Four Noble
3.
Truths”, Tharpa Publications, 2005.
Ifeanyi Enoch Onuoha , “Overcoming the challenges of life”, Author house,
4.
2011.
John C Maxwell, “Five Levels of Leadership, the Proven Steps to Maximize
5.
Your Potential”, Center Street, 2011.

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes - - - - - 2 - 1 1 2 - 2 1 2 3
CO1 - - - - - 2 - 1 1 2 - 2 - - 1
CO2 - - - - - 2 - 1 1 2 - 2 - - 1
CO3 - - - - - 2 - 1 1 2 - 2 - - 1
CO4 - - - - - 2 - 1 1 2 - 2 - - 1
CO - - - - - 2 - 1 1 2 - 2 - - 1
3-High, 2- Medium, 1-Low

B.Tech Information Technology Page 122 of 252

 SEMESTER VI

HS22601 L T P C
PROFESSIONAL ETHICS
3 0 0 3
COURSE OBJECTIVES:
• To identify and analyze ethical issues in engineering
• To recognize the code of ethics with appropriate perspective as per industrial standards
• To understand the ethical situations in risky situation
• To provide services in their areas of expertise
• To be aware of the role of engineers in solving global issues
ENGINEERING ETHICS, MORAL REASONING AND ETHICAL
UNIT I 10
THEORIES
Senses of ‘Engineering Ethics’ – Variety of Moral Issues – Types of Inquiry – Social Ethics vs
Scientific Ethics vs Experiential Ethics – Moral Dilemmas – Moral Autonomy – Kohlberg’s
Theory – Gilligan’s Theory – Professions and Professionalism – Professional Ideals and
Virtues – Theories about Right Action – Uses of Ethical Theories.
UNIT II ENGINEERING AS SOCIAL EXPERIMENTATION 8
Role of Professional Ethics in Engineering Based Product Development – Engineering as
Experimentation – Engineers as Responsible Experimenters – Codes of Ethics – A Balanced
Outlook on Law – Case Study.
UNIT III ENGINEERS’ RESPONSIBILITY FOR SAFETY AND RISK 8
Safety and Risk – Assessment of Safety and Risk – Risk Benefit Analyses and Reducing Risk
– Case Studies.
UNIT IV RESPONSIBILITIES AND RIGHTS 9
Collegiality and Loyalty – Respect for Authority – Collective Bargaining – Confidentiality –
Conflicts of Interest – Occupational Crime – Professional Rights – Whistle Blowing –
Employee Rights – Discrimination – Intellectual Property Rights (IPR).
UNIT V GLOBAL ISSUES AND ROLE OF ENGINEERS 10
Multinational Corporations – Environmental Ethics – Computer Ethics – Ethics of AI –
Engineers as Managers – Consulting Engineers – Engineers as Expert Witnesses and Advisors
– Moral Leadership – Corporate Social Responsibility – Ethics in Engineering Practice and
Research – Ethical Audit.
TOTAL: 45 PERIODS
COURSE OUTCOMES:
At the end of the course, the students will be able to:
CO1: Visualize the scope of engineering ethics and ethical decision making.
CO2: Develop a perspective on engineering as an experiment.
CO3: Detail the importance of assessing safety and risk and reducing the risk.
Realize the responsibilities and rights of engineers, employees, employers and
CO4:
public.
Recognize the role of ethics related to MNC, Environment, Computer, Weapons,
CO5:
and while acting as manager, consultant, and experts.
TEXT BOOKS:
Mike W. Martin and Roland Schinzinger, “Ethics in Engineering”, McGraw Hill
1.
Education, 2017.
Govindarajan M, Natarajan S, Senthil Kumar V.S, “Engineering Ethics”, Prentice Hall
2.
of India Pvt. Ltd., 2015.
REFERENCES:

B.Tech Information Technology Page 123 of 252

 1. Robert McGinn R., “The Ethical Engineer: Contemporary Concepts & Cases”, Princeton
University Press, February 2018.
2. Mark Coeckelbergh, “AI Ethics”, The MIT Press, April 2020.
3. Qin Zhu, Mike Martin and Roland Schinzinger, “Ethics in Engineering”, Fifth Edition ,
McGraw Hill, , 2022.
4. Deborah C. Poff and Alex C. Michalos, “Encyclopedia of Business and Professional
Ethics”, Springer Nature, Switzerland AG, May 2023.
5. Frederic G. Reamer, “Social Work Values and Ethics”, Sixth Edition, Columbia
University Press, New York, , May 2024.

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
Outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 - - - - - - - 3 - - - - - - 2
CO2 - - - - - 2 - 3 - - - - - - 2
CO3 - - - - - 1 - 3 - - - - - - 2
CO4 - - - - - - - 3 - - - - - - 2
CO5 - - - - - 2 2 3 2 1 - 2 - - 2
CO - - - - - 2 2 3 2 1 - 2 - - 2
3-High, 2- Medium, 1-Low

Table of Specifications for End Semester Question Paper

Cognitive Level
Total 2 Total 16
Unit No. and Title Marks Marks Remember Understand Apply Analyze (An)
Qns. Qns. (Re) (Un) (Ap) Evaluate (Ev)
No. of Qns. (marks) and CO
Unit I
1 (2) & 1
Engineering Ethics, 1 (2)
2 1 either or either or (16) - -
Moral Reasoning CO1
CO1
and Ethical Theories
Unit II
1 (2) & 1
Engineering as 1 (2)
2 1 either or either or (16) - -
Social CO2
CO2
Experimentation
Unit III
1 (2) & 1
EngineersResponsib 1 (2)
2 1 either or either or (16) - -
ility for Safety and CO3
CO3
Risk
Unit IV 1 (2) & 1
1 (2)
Responsibilities and 2 1 either or either or (16) - -
CO4
Rights CO4
Unit V 1 (2) & 1
1 (2)
Global Issues and 2 1 either or either or (16) - -
CO5
Role of Engineers CO5

B.Tech Information Technology Page 124 of 252

 Cognitive Level
Total 2Total 16
Unit No. and Title Marks Marks Remember Understand Apply Analyze (An)
Qns. Qns. (Re) (Un) (Ap) Evaluate (Ev)
No. of Qns. (marks) and CO
5&
Total Qns. 10 5 either or 5 - -
5 either or
Total Marks 20 80 10 90 - -
Weightage 20% 80% 10% 90% - -
Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

CS22601 L T P C
COMPILER DESIGN
3 0 0 3
COURSEOBJECTIVES:
• To learn the various phases of compiler.

• To learn the various parsing techniques.

• To understand intermediate code generation and run-time environment.

• To learn to implement front-end of the compiler.

• To learn to implement code generator.
UNIT I INTRODUCTION TO COMPILERS AND LEXICAL ANALYSIS 9
Introduction - Language Processors- The Structure of a Compiler- Compiler-Construction
Tools- Lexical Analysis- The Role of the Lexical Analyzer- Tokens, Patterns, and Lexemes-
Specification of Tokens - The Lexical-Analyzer Generator Lex - Finite Automata -
Construction of an NFA from a Regular Expression - Conversion of an NFA to a DFA -
Minimizing the Number of States of a DFA
UNIT II SYNTAX ANALYSIS 9
Syntax Analysis - The Role of the Parser- Syntax Error Handling- Error-Recovery Strategies-
Context-Free Grammars – Derivations - Parse Trees – Ambiguity - Top-down parsing -
Recursive descent parser - Predictive parser - bottom-up parsing - shift reduce parser - LR
parsers - Construction of SLR parsing table –YACC
SYNTAX-DIRECTED TRANSLATION AND INTERMEDIATE-
UNIT III
CODE GENERATION 9
Syntax-Directed Definitions - Evaluation Orders for SDD's - Construction of Syntax tree -
Directed Acyclic Graphs for Expressions - Three-Address Code - Types and Declarations -
Translation of Expressions - Type Checking

UNIT IV RUN-TIME ENVIRONMENTS AND CODE GENERATION 9

B.Tech Information Technology Page 125 of 252

 Storage Organization - Static Versus Dynamic Storage Allocation - Stack Allocation of Space
- Heap Management - Issues in the Design of a Code Generator - A simple code Generator-
Optimal Code Generation for Expressions

UNIT V CODE OPTIMIZATION 9

Basic Blocks and Flow Graphs- DAG -The Principal Sources of Optimization –Optimization
of Basic Blocks – Peep-hole optimization- Data-Flow Analysis - Reaching Definitions- Live-
Variable Analysis - Available Expressions.

TOTAL: 45 PERIODS
COURSE OUTCOMES:
At the end of the course, the students will be able to:
Describe different phases of the compiler and design a lexical analyzer for a sample
CO1:
language.
CO2: Explain semantics rules (SDT) and intermediate code generation.
Summarize various storage allocation strategies and machine code generation for
CO3:
simple language constructs.
CO4: Develop parsers using different parsing algorithms for a given grammar.
Implement various optimization techniques to improve the performance of the
CO5:
compiler.
TEXT BOOKS:
Alfred V. Aho, Monica S.Lam, Ravi Sethi, Jeffrey D. Ullman, “Compilers: Principles,
1.
Techniques and Tools”, Updated Second Edition, Pearson Education, 2023.
Douglas Thain, “Introduction to Compilers and Language Design”, Second Edition,
2.
Independently Published, 2020.
REFERENCES:
1. K. Muneeswaran, “Compiler Design”, Oxford University Press, 2013.
2. Keith D Cooper and Linda Torczon, “Engineering a Compiler”, Third Edition, Morgan
Kaufmann Publishers Elsevier Science, 2022.
3. Santanu Chattopadhyay, “Compiler Design”, PHI Learning Pvt. Ltd., 2015.
4. John I Moore,” Introduction to Compiler Design - An Object-Oriented Approach Using
Java”, Third Edition, Softmoore Consulting, 2019.
5. V. Raghavan, “Principles of Compiler Design”, Tata McGraw Hill Education
Publishers, 2017.

Mapping of Course Outcomes to Programe Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 - - - - - - - - - - - - - 3
CO2 3 - - - - - - - - - - - - - 3
CO3 3 - - - - - - - - - - - - - 3
CO4 3 2 1 - - - - - - - - - - - 3

B.Tech Information Technology Page 126 of 252

 CO5 3 2 1 - - - - - - - - - - - 3
CO 3 2 1 - - - - - - - - - - - 3
3-High, 2- Medium, 1-Low

Table of Specifications for End Semester Question Paper

Total2 Total16 Cognitive Level
Unit No .and Title Marks Marks Remember Understand Apply Analyse(An)
Qns. Qns. (Kn) (Un) (Ap) Evaluate(Ev)
No.of Qns.(marks) and CO
Unit-I:Introduction 2 -
1either or
to Compilers and 1either or 1(2)-CO1 1(2)-CO1
(16)- CO1
Lexical Analysis
Unit-II:Syntax 2 1either or -
1either or 1(2)-CO2 1(2)-CO2
Analysis (16)- CO2
Unit-Ill:Syntax- 2 -
Directed
1 either or
Translation and 1either or 2(2)- CO3 -
(16)-CO3
Intermediate-Code
Generation
Unit-IV:Run-Time 2 -.
1either or
Environments and 1either or 2(2)-CO4 -
(16)-CO4
Code Generation
Unit-V:Code 2 1 either or -
1either or 1(2)-CO5 1(2)-CO5
Optimization (16)- CO5
Total Qns. 3(2) 3 either -
10 5 either or 7(2) 2 either or or
(16) (16)
Total Marks 20 80 14 38 48 -
Weightage 20% 80% 14% 38% 48% -
Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

L T P C
IT22601 DATA SCIENCE
2 0 2 3
COURSE OBJECTIVES

• To understand the data science fundamentals and process.

• To learn to describe the data for the data science process.
• To learn to describe the relationship between data.
• To utilize the Python libraries for Data Wrangling.
• To present and interpret data using visualization libraries in Python.

B.Tech Information Technology Page 127 of 252

 UNIT I INTRODUCTION 6
Data Science: Benefits and uses - facets of data - Data Science Process: Overview - Defining
research goals - Retrieving data - Data preparation - Exploratory Data analysis - build the
model- presenting findings and building applications.

UNIT II DESCRIBING DATA 6

Types of Data - Types of Variables -Describing Data with Tables and Graphs -Describing Data
with Averages - Describing Variability - Normal Distributions and Standard (z) Scores.

UNIT III DESCRIBING RELATIONSHIPS 6

Correlation -Scatter plots -correlation coefficient for quantitative data -computational formula
for correlation coefficient - Regression -regression line -least squares regression line - Standard
error of estimate.

UNIT IV PYTHON LIBRARIES FOR DATA WRANGLING 6

Basics of Numpy arrays -aggregations -computations on arrays -comparisons, masks, boolean
logic - fancy indexing - structured arrays - Data manipulation with Pandas - operating on data
- missing data - aggregation and grouping.

UNIT V DATA VISUALIZATION 6

Importing Matplotlib - Line plots - Scatter plots - density and contour plots - Histograms -
legends - colors - subplots - text and annotation – three-dimensional plotting.

TOTAL PERIODS: 30
PRACTICAL EXERCISES
1. Working with Numpy arrays.
2. Working with Pandas data frames.
Reading data from text files, Excel and the web and exploring various commands
3.
for doing descriptive analytics on the Iris data set.
Use the diabetes data set from UCI and Pima Indians Diabetes data set for
performing the following:
4. a. Univariate analysis: Frequency, Mean, Median, Mode, Variance, Standard
Deviation, Skewness and Kurtosis
b. Bivariate analysis: Linear and logistic regression modeling
Use the diabetes data set from UCI and Pima Indians Diabetes data set for
performing the following:
5.
a. Multiple Regression analysis
b. Also compare the results of the above analysis for the two data sets
Apply and explore the below plotting functions on UCI data sets
6. a. Normal curves
b. Density and contour plots

B.Tech Information Technology Page 128 of 252

 c. Correlation and scatter plots
d. Three-dimensional plotting Visualizing Geographic Data with Base map
Case Study- Use machine learning models to predict the likelihood of diseases
7.
such as diabetes, cancer or heart disease based on patient data.
TOTAL PERIODS: 30
COURSE OUTCOMES
Upon completion of the course, students will be able to

CO1: Describe the data science process.

CO2: Explore different types of data description for data science process.
CO3: Build knowledge on relationships between data.
CO4: Use the Python Libraries for Data Wrangling.
CO5: Apply visualization Libraries in Python to interpret and explore data
CO6: Infer different visualization tools and techniques to leverage the visualization of
data set.
TEXT BOOKS
Robert S. Witte and John S. Witte, “Statistics”, Eleventh Edition, Wiley
1. Publications, 2017.

2. Jake VanderPlas, “Python Data Science Handbook”, O’Reilly Media Inc., 2022.

REFERENCES:
David Cielen, Arno D. B. Meysman, and Mohamed Ali, “Introducing Data
1. Science”, Manning Publications, 2016.

Allen B. Downey, “Think Stats: Exploratory Data Analysis in Python”, Green

2. Tea Press,2014.

Peter Bruce and Andrew Bruce, “Practical Statistics for Data Scientists”, O’Reilly
3. Media Inc., 2020.

4. Wes McKinney, “Python for Data Analytics”, Third Edition, O’Reilly Media Inc.,
2022.
5. Roger D. Peng and Elizabeth Matsui, “The Art of Data Science — A Guide for
Anyone Who Works With Data”, Lulu.com, 2016.

Mapping of Course Outcomes to Program Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 2 2 - 2 - - - - 1 - - - 2 -
CO2 3 2 2 - 2 - - - - 1 - - - 2 -

B.Tech Information Technology Page 129 of 252

 CO3 3 2 2 - 2 - - - - 1 - - - 2 -
CO4 3 2 2 - 2 - - - - 1 - - - 2 -
CO5 3 2 2 - 2 - - - - 1 - - - 2 -
CO6 3 2 2 - 2 - - - - 1 - - - 2 -
CO 3 2 2 - 2 - - - - 1 - - - 2 -
3-High, 2- Medium, 1-Low

Table of Specifications for End Semester Question Paper

Cognitive Level
Total Total
2 16 Analys
Unit No. and Title Remembe Understan Apply e (An)
Mark Marks
s Qns. Qns. r (Kn) d (Un) (Ap) Evalua
te (Ev)
1 either or
1 either (16)-
Unit-I: Introduction 2 2(2)-CO1 - -
or CO1
1 either or
Unit-II: Describing 1 either (16)-
2 2(2)-CO2 - -
Data or CO2
Unit-III: Describing 1 either 1(2)- 1 either or
2 1(2)-CO3 (16)-C03 -
Relationships or CO3
Unit-IV: Python
1 either 1 either or
Libraries for Data 2 1(2)-CO4 1(2)-CO4 (16)-CO4 -.
or
Wrangling
1eitheror
Unit-V: Data 1 either (16)-
2 1(2)-CO5 1(2)-CO5 -
Visualization or CO5
3(2)
5eithero 3eithero
Total Qns. 2either -
10 r 7(2) or (16) r (16)
Total Marks 20 80 14 38 48 -

Weightage 20% 80% 14% 38% 48% -

Weightage for Cos

CO1 CO2 CO3 CO4 CO5

Total Marks 20 20 20 20 20

Weightage 20% 20% 20% 20% 20%

B.Tech Information Technology Page 130 of 252

 CODING SKILLS AND QUANTITATIVE L T P C
SD22601
APTITUDE – PHASE I 0 0 4 2
COURSE OBJECTIVES

• To create a simple, React Application using React Components.

• To implement Routing and API Integration in React Applications.

• To gain hands-on experience with real-world React Applications.

• To improve aptitude, problem solving skills and reasoning ability of the students.
• To demonstrate the use of mathematical reasoning by justifying through numerical
skills.
FRONT END ENGINEERING WITH 12
UNIT I
REACT&QA & LR
Basic HTML and JavaScript – JSX- Introduction to React- Setting up the environment –
Creating first React Component.
Quants: Numbers – Number Systems, Types of Numbers, Series (Arithmetic Progression,
Geometric Progression), HCF & LCM, Decimal Fractions, Simplification (Including
Expression & Evaluation).
Logical Reasoning - Analogy - Blood Relations/Family Tree.
WORKING WITH REACT COMPONENTS & 12
UNIT II
QA & LR
React Components: Component properties – Component State – Handling Events- Life
Cycle Methods and Hooks- Conditional Rendering- List and Keys - Forms and User Input.
Quants: Average-Problem on Ages.
Logical Reasoning: Coding-Decoding.
UNIT III STYLING IN REACT & ROUTING & QA & LR 12
Styling React Components – Routing: Introduction to React Router- Nested Routes –
Redirects and Navigation.
Quants: Ratio & Proportions - Partnership-Mixtures and Alligations.
Logical Reasoning: Cryptarithmetic Problems, Syllogisms.
UNIT IV STATE MANAGEMENT & QA & LR 12
Context API Basics – Context Provider and Consumer – useContext hook
Quants: Time & Work-Chain Rule-Pipes and Cisterns
Logical Reasoning - Calendar – Clocks - Images (Mirror & Water).
UNIT V WORKING WITH APIS & QA & LR 12
Fetching Data – Displaying Fetched Data – Updating Data – Project Work.
Quants: Time,Speed & Distance - Problems on Trains,Boats & Streams.
Logical Reasoning: Cubes and Dices - Data Sufficiency.
SUGGESTIVE ASSESSMENT METHODS
Pre-Assessment Test – To check the student’s previous knowledge in
1
Programming skills and quantitative aptitude and logical reasoning.

B.Tech Information Technology Page 131 of 252

 Internal Assessment I for coding skills and quantitative aptitude will be
2
conducted for 100 marks whichare then calculated to 30.
Internal Assessment II for coding skills and quantitative aptitude will be
3
conducted for 100 marks which are then calculated to 30.
For assignments, students should attend all the practice tests conducted
online on HackerRank and google form. Each assignment will be for 100
4
marks and finally the total marks obtained by a student in all assignments
will be reduced to 40 marks.
Thus 60 marks from internal and 40 marks from assignments will make it a
5
total of 100.
TOTAL PERIODS: 60

COURSE OUTCOMES

Upon completion of the course, the students will be able to:

CO1: Construct a basic React application.

CO2: Apply Routing and API Integration in web applications.

CO3: Construct a real-world React application

Apply quantitative techniques to solve a variety of problems and can enhance
CO4: their employability quotient and to establish a stronger connection with the
technical environment in which they operate.
Interpret solutions for problems within short duration and can also think
CO5: critically and apply basic mathematics skills to interpret data, draw
conclusions and solve problems.
TEXT BOOKS
Robin Wieruch,” The Road to React: with React18 and React Hooks”,
1.
CreateSpace Independent Publishing Platform, 2024.
Stoyan Stefanov, “React: Up & Running: Building Web Applications”,
2.
Second Edition, O’ Reilly Publications, 2021.
Agarwal R.S, “Quantitative Aptitude,” S.Chand and Company Pvt. Ltd.,
3.
New Delhi, 2023.
Agarwal R.S, “A Modern Approach to Verbal and Non-Verbal Reasoning,”
4.
S.Chand and Company Pvt. Ltd.,New Delhi, 2016.
REFERENCES
Zac Gordan, Mikall Angela Hill and RobbieAddair, “React Explained: Your
1
Step-By-Step Guide to React”, OSTraining Publishers, 2020.
Alex Banks and Eve Porcello, “Learning React: Functional Web Development
2
with React and Redux”, O’ Reilly Publications, 2017.

B.Tech Information Technology Page 132 of 252

 3 Anand P A, “Quantitative Aptitude,” Wiley India Pvt. Ltd., New Delhi, 2016.
Arun Sharma, “How to Prepare for Logical Reasoning,” Tata-McGraw Hill
4
Education Series. New Delhi, 2016.
Sharon Weiner Green and Ira K Wolf, “Barron’s GRE,” Barron Publishers,
5
2016.

Mapping of Course Outcomes to Program Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 2 2 2 - 2 - - - - - - 2 2 - -
CO2 2 2 2 - 2 - - - - - - 2 2 - -
CO3 2 2 2 - 2 - - - - - - 2 2 - -
CO4 1 1 1 - - - - - 1 - - 1 1 - -
CO5 1 1 1 - - - - - 1 - - 1 1 - -
CO 2 2 2 - 2 - - - 1 - - 2 2 - -
3-High, 2- Medium, 1-Low

SEMESTER VII

MS22701 L T P C
PRINCIPLES OF MANAGEMENT
3 0 0 3
COURSE OBJECTIVES:
• To explain the evolution of Management and its principles.
• To discuss the functions of Management and their importance in business.
• Learn the application of the principles in an organization like planning, organizing,
directing and controlling.
• Analyze the position of self and company goals towards business.
UNIT I INTRODUCTION TO MANAGEMENT 9

Definition of Management – Role of Managers in the Workplace – Management Functions,

Levels, Roles and Skills – Evolution of Management – Influence of the External Environment
and the Organization’s Culture – Diversity, Equity, and Inclusion – Types of Business
organizations – Managing in a Global Environment – Managing Corporate Social
Responsibility and Ethics – Current trends and issues.
UNIT II PLANNING 9
Foundations of planning – Planning process – Types of planning – Objectives – Setting
objectives – MBO – Policies – Planning premises – Strategic Management – Planning Tools
and Techniques – Decision making process –Entrepreneurial Ventures – Business Plan
Development in Entrepreneurship – Contemporary issues in planning.
UNIT III ORGANIZING AND STAFFING 9
Nature and purpose – Organization structure design – Departmentalization – Delegation of
authority – Centralization and decentralization – Managing Human Resources – HR Planning

B.Tech Information Technology Page 133 of 252

 – Recruitment and Decruitment – Selection, Orientation, Training and Development,
Performance Management – Career planning, development and management – Managing
change and innovation – Recent issues in HRM.
UNIT IV DIRECTING AND LEADING 9
Understanding and managing individual behavior –Perception, Personality, Attitude, and
Learning – Motivating Employees – Motivation theories – Managing Groups and Teams –
Team Dynamics – Effective Leadership – quality, styles, skills and theories of leadership –
Communication management – Process and Forms of communication – Barrier in
communication – Effective communication styles and Negotiation skills.

UNIT V MANAGEMENT CONTROL 9

Management control – Use of computers and IT in Management control – System and process
of controlling – Planning and Control Techniques- PERT- CPM-Productivity problems and
management – Control and performance – Direct and preventive control – Levers of control
framework – Reporting – Managing Operations – Modern issues in control.
TOTAL: 45 PERIODS
COURSE OUTCOMES:
At the end of the course, the students will be able to:
CO1: Outline the fundamentals of Managerial functions and Business Environment.
Explain the various planning processes and become competent when involved in
CO2:
team to achieve success.
Demonstrate the concept of organizing for the effective functioning of a
CO3:
management.
Practice and develop managerial styles to anticipate the consequences of each
CO4:
leadership style.
Apply the controlling techniques to the practical situations concerning the
CO5:
management of people and organizations in real business life.
TEXT BOOKS:
Stephen P. Robbins, Mary A. Coulter and Lori Long, “Management”, 16th Edition
1.
Pearson Education, 2024.
P C Tripathi, P N Reddy, Ashish Bajpai, “Principles of Management”, Tata McGraw
2.
Hill, 2021.
REFERENCES:
1 Almas Sabir, “Principles of Management”, Partridge Publishing Singapore, 2019.
2 Harold Koontz, Heinz Weihrich and Mark V. Cannice, “Essentials of Management”,
Tata McGraw Hill, 2020.
3 Chandran J S, “ Principles of Management- Text & Cases”, Third Edition, Sultan &
Chand publications, 2024.
4 Oliver Laasch, “Principles of Management: Practicing Ethics, Responsibility,
Sustainability”, Second Edition, SAGE Publications Ltd, 2021.
5 David Bright, “Principles of Management”, 2023.

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
Outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3

B.Tech Information Technology Page 134 of 252

 CO1 3 - - - - 1 - - - - - - - - 2
CO2 - 1 1 - - - - - - - - - - - 2
CO3 1 - - 2 - - 1 - 2 - 1 1 - - 2
CO4 - 1 1 1 2 - - 1 2 - - - - - 1
CO5 1 - - - 1 1 - - - 3 - 1 - - 1
CO 2 1 1 2 2 1 1 1 2 3 1 1 - - 2
3-High, 2- Medium, 1-Low

Table of Specification for End Semester Question Paper

Cognitive Level
Total 2 Total 16
Unit No. and Title Marks Marks Remember Understand Apply Analyze (An)
Qns. Qns. (Re) (Un) (Ap) Evaluate (Ev)
No. of Qns. (marks) and CO
Unit I:
1 either or
Introduction to 2 1 either or 2(2) - CO1 - -
(16) - CO1
Management
Unit II: 1 either or
2 1 either or 2(2) - CO2 - -
Planning (16) - CO2
Unit III: 1(2) - CO3
Organizing and 2 1 either or 1(2) - CO3 1 either or - -
Staffing (16) - CO3
Unit IV:
1 either or
Directing and 2 1 either or 1(2) - CO4 1(2) - CO4 -
(16) – CO4
Leading
Unit V:
1 either or
Management 2 1 either or 1(2) - CO5 1(2) - CO5 -
(16) – CO5
Control

Total Qns. 10 5 either or 7 06 02 -

Total Marks 20 80 14 54 32 -
Weightage 20% 80% 14% 54% 32% -
Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

L T P C
IT22701 CRYPTOGRAPHY AND NETWORK SECURITY
3 0 0 3

COURSE OBJECTIVES

• To understand OSI security architecture, Algorithms and Systems.

B.Tech Information Technology Page 135 of 252

 • To acquire fundamental knowledge on the concepts of classical, modern
conventional encryption and Finite fields of number theory.
• To describe the principles of public key cryptosystems and key management.
• To gain the knowledge on security practices of hash functions, digital signature and
system security.
• To understand necessary Approaches and Techniques to build protection mechanisms in
order to secure computer networks.
UNIT I INTRODUCTION & NUMBER THEORY 9
Computer security concepts-OSI security architecture -Security Services, Mechanisms and
Attacks -Fundamental security design principles-Network security model-Introduction to Number
Theory

UNIT II SYMMETRIC CIPHERS 9

Classical Encryption techniques -Block ciphers and Data Encryption Standards-Finite Fields-
Advanced Encryption Standard (AES) -Block cipher operations-Random bit generation and
stream ciphers.

UNIT III ASYMMETRIC CIPHERS 9

Public key cryptography and RSA - Key Management and Distribution - Diffie Hellman Key
Exchange - ElGamal Cryptosystem - Elliptic Curve Arithmetic-Elliptic Curve Cryptography,
Cryptanalysis.

CRYPTOGRAPHIC DATA INTEGRITY ALGORITHMS AND

UNIT IV 9
MUTUAL TRUST
Cryptographic Hash Functions-Message Authentication Codes: Authentication requirement -
Authentication function -Security of MAC-SHA-HMAC- DSS-User Authentication: Kerberos.

UNIT V SECURITY PRACTICE AND SYSTEM SECURITY 9

Electronic Mail security - PGP, S/MIME - IP security -- System Security: Intruders - Malicious
software - viruses - Firewalls.

TOTAL PERIODS: 45
COURSE OUTCOMES
Upon completion of the course, students will be able to

CO1: Illustrate the fundamentals of networks security, security architecture, threats

and vulnerabilities.
CO2: Apply the different cryptographic operations of symmetric cryptographic
algorithms.
CO3: Apply the different cryptographic operations of public key cryptography.

CO4: Apply the various authentication schemes to simulate different applications.

CO5: Demonstrate various security practices and system security standards.

TEXT BOOKS

B.Tech Information Technology Page 136 of 252

 1. William Stallings, “Cryptography and Network Security: Principles and Practice”,
Eighth Edition, Tata McGraw Hill Education, 2023.
2. Behrouz A Foruzan, Debdeep Mukhopadhyay, “Cryptography and Network
Security”,Third Edition, Tata McGraw Hill Education,2015.
REFERENCE BOOKS

1. C K Shyamala, N Harini and Dr. T R Padmanabhan, “Cryptography and Network

Security”, Second Edition, Wiley India Pvt.Ltd ,2012.
Charlie Kaufman, Radia Perlman, and Mike Speciner, “Network Security:
2. PRIVATE Communication in a PUBLIC World”, Third Edition, Pearson
Education,2024.
3. Bruce Scheneier, “Applied Cryptography”, Second Edition, John Wiley & Sons,
2008.
4. David M. Durton, “Elementary Number Theory”, Seventh Edition, Tata
Mcgraw Hill, 2023.
5. William Stallings “Network Security Essentials: Applications and
Standards”, Sixth Edition, Pearson Education, 2018.

Mapping of Course Outcomes to Program Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 2 2 1 - - - - - - - - 3 - -
CO2 3 2 2 1 - - - - - - - - 3 - -
CO3 3 3 3 1 - - - - - - - 2 3 - -
CO4 3 3 3 1 - - - - - - - 2 3 - -
CO5 3 3 3 2 - - - - - - - 2 3 - -
CO 3 3 3 1 - - - - - - - 2 3 - -
3-High, 2- Medium, 1-Low

Table of Specifications for End Semester Question Paper

Unit No. and Title Total Total Cognitive Level
2 16
Marks Marks Remember Understand Apply (Ap) Analyse
Qns. Qns. (Kn) (Un) (An)
Evaluate
(Ev)
Unit I: 2 1 either 2(2)- CO1 1 either or - -
Introduction & or (16)-CO1
Number Theory

Unit II: 2 1 either 1(2)- CO2 1(2)- C02 1 either or -

Symmetric or (16)-CO2
Ciphers

Unit III: 2 1 either 1(2)-C03 1(2)- C03 1 either or -

or (16)- C03

B.Tech Information Technology Page 137 of 252

 Asymmetric
Ciphers
Uni IV: 2 1 either 1(2)-CO4 1(2)-CO4 1 either or - .
Cryptographic or (16)- CO4
Data Integrity
Algorithms and
Mutual Trust
Unit V: 2 1 either 2(2)-CO5 1 either or - -
Security Practice or (16)-CO5
and System
Security
Total Qns. 5 either 3(2) 3 either or -
10 or 7(2) 2 either or (16) (16)
Total Marks 20 80 14 38 48 -

Weightage 20% 80% 14% 38% 48% -

Weightage for Cos

CO1 CO2 CO3 CO4 CO5

Total Marks 20 20 20 20 20

Weightage 20% 20% 20% 20% 20%

L T P C
IT22702 SECURITY LABORATORY
0 0 4 2

COURSE OBJECTIVES

• To learn different cipher techniques.

• To implement the algorithms DES, RSA,MD5,SHA-1.
• To use network security tools and vulnerability assessment tools.
LIST OF EXPERIMENTS
Perform encryption, decryption using the following substitution techniques
1.
(i) Ceaser cipher, ii) Playfair cipher iii) Hill Cipher iv) Vigenere cipher
Perform encryption and decryption using following transposition techniques
2.
(i)Rail fence ii) Row & Column Transformation.
3. Apply DES algorithm for practical applications.

4. Apply AES algorithm for practical applications.

5. Implement RSA Algorithm using HTML and JavaScript.

6. Implement the Diffie-Hellman Key Exchange algorithm for a given problem

B.Tech Information Technology Page 138 of 252

 7. Calculate the message digest of a text using the SHA-1 algorithm

8. Implement the SIGNATURE SCHEME - Digital Signature Standard

9. Demonstrate intrusion detection system (IDS) using any tool eg. Snort or any other s/w.
Automated Attack and Penetration Tools
10.
Exploring N-Stalker, a Vulnerability Assessment Tool
Defeating Malware
11.
i) Building Trojans ii) Rootkit Hunter
TOTAL PERIODS: 60
COURSE OUTCOMES
Upon completion of the course, students will be able to

CO1: Develop code for classical Encryption Techniques to solve the problems.

CO2: Build cryptosystems by applying symmetric and public key encryption

algorithms.
CO3: Construct code for authentication algorithms.

CO4: Develop a signature scheme using Digital signature standard.

CO5: Demonstrate the network security system using open source tools.

LIST OF EQUIPMENT FOR A BATCH OF 30 STUDENTS:

SOFTWARE: C / C++ / Java or equivalent compiler GnuPG, Snort, N-Stalker or Equivalent
HARDWARE: Standalone desktops - 30 Nos. (or) Server supporting 30 terminals or more.

Mapping of Course Outcomes to Program Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 3 2 2 - - - - - - - 2 3 - -
CO2 3 3 2 1 - - - - - - - 3 3 - -
CO3 3 3 3 1 - - - - 3 - - 2 3 - -
CO4 3 3 3 2 3 - - - 3 - - 3 - - -
CO5 3 3 3 3 - - - - - - - 3 - - -
CO 3 3 3 2 3 - - - 3 - - 3 3 - -
3-High, 2- Medium, 1-Low

L T P C
IT22703 MINI PROJECT
0 0 6 3

COURSE OBJECTIVES

B.Tech Information Technology Page 139 of 252

 • To determine a particular issue pertaining to the needs of sustainable growth of
the society and gather data on it by conducting a thorough investigation.
• To develop the methodology to solve the identified problem.
• To implement a project using the identified methodology with modern tools.
• To prepare students to write project reports and to take viva-voce exams and
reviews.
SYLLABUS
The group of students works on a specific topic approved by a faculty member who is familiar
with this area of interest. The batch can identify any problem that is relevant to his/her
specialization of the program. The batch should do the detailed investigation related to the area of
work, and they should identify methodology/algorithm for carrying out the work. At the end of
the semester, the final product and a detailed report on the work done should be submitted. The
students will be evaluated through a viva-voce examination by a panel of examiners, including
one external examiner.
TOTAL: 90 PERIODS

COURSE OUTCOMES
Upon completion of the course, students will be able to

CO1: Identify any real-world problem and find the optimal solution by applying
gathered knowledge and skills.

Mapping of Course Outcomes to Program Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
-
CO 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
3-High, 2- Medium, 1-Low

CODING SKILLS AND QUANTITATIVE APTITUDE L T P C

SD22701
TRAINING – PHASE II 0 0 4 2
COURSE OBJECTIVES
● To help students to work with Database

● To help them create a simple Spring Boot application and gain foundational skills
in Spring Boot by exploring Spring Boot Starters, RESTful web services,
Dependency Injection, and handling HTTP methods effectively.

● To make them to learn to create and use repositories, perform basic CRUD
operations with JPA Repository, and apply these skills in a hands-on project.

● To improve aptitude, problem solving skills and reasoning ability of the students.

B.Tech Information Technology Page 140 of 252

 ● Demonstrate the use of mathematical reasoning by justifying through numerical
skills.
DATABASE BASICS & QUANTS – TIME, SPEED AND
UNIT I 12
DISTANCE
Introduction to Database- Database Design Principles – SQL Basics – Querying a Database
Quants: Time, Speed and Distance - Time, Speed & Distance - Problems on Trains-Boats
& Stream
DEVELOPING BACK END USING SPRING BOOT &
UNIT II 12
QUANTS – PERCENTAGE & INTEREST
Introduction to Spring Boot – Creating a simple Spring Boot Application- Bean Scopes and
Life Cycle
Quants: Percentage & Interest - Percentage-Interest (Simple Interest, Compound Interest)-
Profit & Loss
BUILDING RESTFUL WEB SERVICES & QUANTS –
UNIT III 12
PROBABILITY
Spring Boot Starters – Introduction to REST - Dependency Injection – Handling HTTP
Methods
Quants: Probability - Probability-Permutations & Combinations
DATA PERSISTENCE WITH SPRING DATA JPA &
UNIT IV 12
LOGICAL REASONING
Path Variables and Request Parameters – Overview of JPA and Hibernate – Setting up
Spring Data JPA in a Spring Boot project.
Logical Reasoning: Data Interpretation (Tabulation, Bar Chart, Pie Chart, Line Graphs)-
Direction sense test - Linear/Seating Arrangements - Series completion
CREATING AND USING REPOSITORIES &
UNIT V 12
LOGICAL REASONING
Creating and using Repositories – Basic CRUD operations with JPA Repository – Project
Work.
Logical Reasoning: Logical Venn Diagram/Syllogisms - Odd man out/Finding missing
elements - Crypt arithmetic Questions – Puzzles

TOTAL PERIODS:60

Suggestive Assessment Methods:

Pre-Assessment Test - To check the student’s previous knowledge in
1 Programming skills and quantitative aptitude and logical reasoning.

Internal Assessment I for coding skills and quantitative aptitude will be

2 conducted for 100 marks which are then calculated to 30.

B.Tech Information Technology Page 141 of 252

 Internal Assessment II for coding skills and quantitative aptitude will be
3
conducted for 100 marks which are then calculated to 30.
Post-Assessment - Evaluating students' knowledge gained from the Coding Skill
4 and Quantitative Aptitude – Phase I Skill Development Course.

For assignments, students should attend all the practice tests conducted online on
5 HackerRank and google form. Each assignment will be for 100 marks and finally
the total marks obtained by a student in all tests will be reduced to 40 marks.

The total of 100 marks obtained from the tests will be then reduced to 60 marks
6 and additional of 40marks will be given for assignments which will make it a
total of 100.
COURSE OUTCOMES

On completion of this course, the students will be able to:

CO1: Design and Query a Database.
Utilize Spring Boot Starters, develop RESTful web services, implement
CO2:
Dependency Injection, and effectively handle various HTTP methods.
CO3: Implement a hands-on project using Spring Boot.
Apply quantitative techniques to solve variety of problems and can enhance
CO4: their employability quotient and to establish a stronger connect with the
technical environment in which they operate.
Find solutions for problems within short duration and can also think critically
CO5: and apply basic mathematics skills to interpret data, draw conclusions and solve
problems.
TEXT BOOKS
Craig Walls, “Spring Boot in Action”, Sixth Edition, Manning Publishers,
1
March 2022.
Agarwal R.S, “Quantitative Aptitude,” S.Chand and Company Pvt. Ltd., New
2
Delhi, 2016.
REFERENCES
Alex Antonov, “Spring Boot 2.0 Cookbook”, Second Edition, Packt Publishers,
1
2018.
Felipe Gutierrez, “Pro Spring Boot 2: An authorative Guide to Building
2 Microservices, Web and Enterprise Applications, and Best Practices”, Second
Edition, ApressPublishers,2018.
3 Anand P A, “Quantitative Aptitude,” Wiley India Pvt. Ltd., New Delhi,2016.
Agarwal R.S, “A Modern Approach to Verbal and Non-Verbal Reasoning,”
4
S.Chand and Company Pvt. Ltd.,New Delhi,2016.
Arun Sharma, “How to Prepare for Logical Reasoning,” Tata-McGraw Hill
4
Education Series.New Delhi,2016.

Mapping of Course Outcomes to Programme Outcomes

PO PSO

B.Tech Information Technology Page 142 of 252

 Course 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
outcomes
CO1 2 2 2 - 2 - - - - - - 2 2 - -
CO2 2 2 2 - 2 - - - - - - 2 2 - -
CO3 2 2 2 - 2 - - - - - - 2 2 - -
CO4 1 1 1 - - - - - 1 - - 1 1 - -
CO5 1 1 1 - - - - - 1 - - 1 1 - -
CO 2 2 2 - 2 - - - 1 - - 2 2 - -
3-High, 2- Medium, 1-Low

L T P C
IT22801 PROJECT WORK
0 0 16 8

COURSE OBJECTIVES

• To train the students for gaining domain knowledge, and technical skills to solve
potential business / research problems.
• To gather requirements and design suitable software solutions and evaluate all the
possible alternatives.
• To work in teams and understand the processes and practices in the industry.
• To implement, test and deploy solutions for target platforms
• To prepare project reports ethically and communicate to the technical society
SYLLABUS

The students shall individually / or as group work on business/research domains and related
problems approved by the department / organization that offered the project. The student can
select any topic which is relevant to his/her specialization of the programme. The student should
continue the work on the selected topic as per the formulated methodology. At the end of the
semester, after completing the work to the satisfaction of the supervisor and review committee,
a detailed report which contains clear definition of the identified problem, detailed literature
review related to the area of work and methodology for carrying out the work, defend on the
results and finally conclude with citations and references as per the format prescribed by the
institution and submit to the Head of the Department. The students will be evaluated based on
the report and viva-voce examination by a panel of examiners as per the regulations.

TOTAL: 240 PERIODS

COURSE OUTCOMES
Upon completion of the course, students will be able to

Develop the ability to design, implement, and evaluate innovative IT solutions to

CO1: real-world problems while demonstrating technical proficiency, teamwork, ethical
practices, and effective communication.

B.Tech Information Technology Page 143 of 252

 Mapping of Course Outcomes to Program Outcomes
Course PO PSO
outcomes
1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
CO 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
3-High, 2- Medium, 1-Low

PROFESSIONAL ELECTIVES
VERTICAL I: INTERNET TECHNOLOGIES
L T P C
IT22511 FULL STACK WEB DEVELOPMENT
2 0 2 3
COURSE OBJECTIVES
• To understand the various components of full stack development

• To learn Node.js features and applications

• To develop applications with MongoDB

• To understand the role of Angular and Express in web applications

• To develop simple web applications with React

UNIT I BASICS OF FULL STACK 6

Understanding the Basic Web Development Framework – User – Browser – Webserver –
Backend Services – MVC Architecture – Understanding the different stacks –The role of
Express–Angular – Node – Mongo DB – React
UNIT II NODE JS 6
Basics of Node JS – Installation – Working with Node packages – Using Node package
manager,Creating a simple Node.js application – Using Events.
UNIT III MONGO DB 6
Understanding NoSQL and MongoDB – Building MongoDB Environment – User accounts
– Access control – Administering databases – Managing collections-Database Connectivity.
UNIT IV EXPRESS AND ANGULAR 6

B.Tech Information Technology Page 144 of 252

 Implementing Express in Node.js – Configuring routes – Using Request and Response
objects–Angular – Typescript - Implementing Classes, Modules, Functions – Angular
Components
UNIT V REACT 6
MERN STACK – Basic React applications – React Components –– React State – Event
Handling, Stateless Components, Designing Components – Express REST APIs .
TOTAL PERIODS: 30

PRACTICAL EXERCISES

1 Develop a portfolio website for yourself which gives details about yourself for a
potential recruiter.
2 Create a web application to manage the TO-DO list of users, where users can
login and manage their to-do items.
3 Create a simple micro blogging application (like twitter) that allows people to post
their content which can be viewed by people who follow them.
4 Create a grocery delivery website where users can order from a particular shop
listed in the website.
Develop a simple dashboard for project management where the statuses of various
5 tasks are available. New tasks can be added and the status of existing tasks can be
changed among Pending, InProgress or Completed.
TOTAL PERIODS: 30

COURSE OUTCOMES

Upon completion of the course, students will be able to

CO1: Explain the various stacks available for web application development.

CO2: Use Node.js for application development.

CO3: Develop applications with MongoDB.

CO4: Use the features of Angular and Express.

CO5: Develop React applications.

TEXT BOOKS
Brad Dayley, Brendan Dayley and Caleb Dayley, “Node.js, MongoDB and Angular
1
Web Development”, Second Edition, Addison-Wesley, 2018.
Vasan Subramanian, “Pro MERN Stack, Full Stack Web App Development with
2
Mongo, Express, React, and Node”, Second Edition, Apress, 2019.
REFERENCE BOOKS

B.Tech Information Technology Page 145 of 252

 Jeffrey C. Jackson, "Web Technologies--A Computer Science Perspective",
1
Pearson Education, 2012.
Chris Northwood, “The Full Stack Developer: Your Essential Guide to the
2
Everyday Skills Expected of a Modern Full Stack Web Developer”, Apress, 2018.
Kirupa Chinnathambi, “Learning React: A Hands-On Guide to Building Web
3 Applications Using React and Redux”, Second Edition, Addison-Wesley
Professional, 2018.
Jon Duckett, “HTML and CSS-Design and Build Websites”, John Wiley Sons,
4
2011.
Kyle Banker, Peter Bakkum, Shaun Verch, Douglas Garrett and Tim Hawkins,
5
“MongoDB in Action”, Second Edition, Manning Publication, 2016.

Mapping of Course Outcomes to Program Outcomes

Course PO PSO
outcomes
1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 2 3 3 - 2 2 - - - - - - - - 2
CO2 2 3 3 - 2 2 - - - - - - - - 2
CO3 2 3 3 - 2 2 - - - - - - - - 2
CO4 2 3 3 - 2 2 - - - - - - - - 2
CO5 2 3 3 - 2 2 - - - - - - - - 2
CO 2
3 3 - 2 2 - - - - - - - - 2
3-High, 2- Medium, 1-Low

Table of Specifications for End Semester Question Paper

Cognitive Level
Total Total
2 16 Analyse
Unit No. and Title
Marks Marks Remembe Understa Apply (An)
Qns. Qns. r (Re) nd (Un) (Ap) Evaluate
(Ev)
Unit-I: 1(2)-CO1,
Basics of Full Stack 1 either
2 1(2)-CO1 1 either or - -
or
(16)-CO1
Unit-II: 1 either 1(2)-CO2 1 either or
2 1(2)-CO2 -
NODE JS or (16)-CO2
1 either or
Unit-III: 1 either 1(2)-CO3
2 1(2)-CO3 (16)-CO3 -
MONGO DB or
Unit-IV: 1 either or
1 either 1(2)-CO4
EXPRESS and 2 1(2)-CO4 (16)-CO4 -
or
ANGULAR

B.Tech Information Technology Page 146 of 252

 Unit-V:
1 either 1(2)-CO5 1 either or
REACT 2 1(2)-CO5 -
or (16)-CO5
5 5(2)
4 either or
Total Qns. 10 either 5(2) 1 either or -
(16)
or (16)
Total Marks 20 80 10 26 64 -
Weightage 20% 80% 10% 26% 64% -
Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

L T P C
IT22512 CLOUD COMPUTING
2 0 2 3
COURSE OBJECTIVES
• To understand the concept of cloud computing.
• To appreciate the evolution of cloud from the existing technologies.
• To have knowledge on the various issues in cloud computing.
• To be familiar with the lead players in cloud.
• To appreciate the emergence of cloud as the next generation computing paradigm.
UNIT I INTRODUCTION 6
Introduction to Cloud Computing - Underlying Principles of Parallel and Distributed
Computing - Cloud Characteristics - Elasticity in Cloud - On demand Provisioning.
UNIT II VIRTUALIZATION AND DOCKER BASICS 6
Basics of Virtualization - Types of Virtualization - Implementation Levels of Virtualization
- Virtualization of CPU, Memory, I/O Devices. Introduction to Docker, Docker
Components.
UNIT III CLOUD ARCHITECTURE AND SERVICES 6
NIST Cloud Computing Reference Architecture - Public, Private and Hybrid Clouds - laaS
- PaaS - SaaS - Architectural Design Challenges - Cloud Storage - Storage-as-a-Service.
UNIT IV CLOUD DEPLOYMENT ENVIRONMENT 7
Google App Engine – Amazon AWS – Microsoft Azure; Emerging Cloud Software
Environments – Open Nebula, Sector/Sphere, OpenStack.
UNIT V CLOUD SECURITY 5
IAM - Introduction, Challenges, Architecture and practice - Standards and Protocols for
cloud services and consumers - IAM practices – Cloud Authorization Management.
TOTAL PERIODS: 30
PRACTICAL EXERCISES
Install Virtualbox/VMware/ Equivalent open-source cloud workstation with
1
different flavours of Linux or Windows OS on top of windows 8 and above.

B.Tech Information Technology Page 147 of 252

 Install a C compiler in the virtual machine created using a virtual box and execute
2
Simple Programs.
Install Google App Engine. Create a hello world app and other simple web
3
applications using python/java.
Simulate a cloud scenario using CloudSim and run a scheduling algorithm that is
4
not present in CloudSim.
Deploy a microservices architecture using a container orchestration tool
5
Docker Swarm.
Deploy a containerized application on a virtual machine using Docker.
6
TOTAL PERIODS: 30
COURSE OUTCOMES
Upon completion of the course, students will be able to
Explain the main concepts, key technologies, strengths and limitations of cloud
CO1:
computing.
CO2: Apply the concepts of virtualization and docker.
CO3: Explore the architecture of cloud, service and deployment models.
CO4: Implement the cloud deployment services.
CO5: Explain Identity and Access management in the cloud.
Analyse and choose the appropriate technologies, services for implementation and
CO6:
use of cloud.
TEXT BOOKS
Kai Hwang, Geoffrey C. Fox and Jack G. Dongarra, "Distributed and Cloud
1. Computing, From Parallel Processing to the Internet of Things", Morgan Kaufmann
Publishers, 2012.
Kumar Saurabh,” Cloud Computing: Architecting Next-Gen Transformation
2.
Paradigms”, Fourth Edition, Wiley, 2017.
REFERENCES
Tim Mather, Subra Kumaraswamy and Shahed Latif, “Cloud Security and Privacy:
1.
an enterprise perspective on risks and compliance”, O’Reilly Media, Inc., 2010.
2. James Turnbull, “The Docker Book”, O’Reilly Publishers, 2014.
Rajkumar Buyya, Christian Vecchiola and S. ThamaraiSelvi, “Mastering Cloud
3.
Computing”, Tata Mcgraw Hill, 2013.
George Reese, "Cloud Application Architectures: Building Applications and
4. Infrastructure in the Cloud: Transactional Systems for EC2 and Beyond (Theory in
Practice)”, O'Reilly, 2010.
Buyya, Vecchiola and Selvi , “Mastering Cloud Computing” , McGraw Hill,
5.
2017.

Mapping of Course Outcomes to Program Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 2 2 3 - - - - - - - - - 2 - -

B.Tech Information Technology Page 148 of 252

 CO2 3 2 3 - - - - - - - - - 2 - -
CO3 3 2 3 - - - - - - - - - 2 - -
CO4 3 2 3 2 2 - - - - - - - 2 - -
CO5 3 2 3 2 2 - - - - - - - 2 - -
CO 3 2 3 2 2 - - - - - - - 2 - -
3-High, 2- Medium, 1-Low

Table of Specifications for End Semester Question Paper

Cognitive Level
Total Total
2 16 Analyse
Unit No. and Title
Marks Marks Remembe Understa Apply (An)
Qns. Qns. r (Re) nd (Un) (Ap) Evaluate
(Ev)
1(2)-CO1,
Unit-I: 1 either
2 1(2)-CO1 1 either or - -
Introduction or
(16)-CO1

Unit-II:
1 either 1(2)-CO2 1 either or
Virtualization and 2 1(2)-CO2 -
or (16)-CO2
Docker Basics
1(2)-CO3,
Unit-III: 1
1 either or
Cloud Architecture 2 either 1(2)-CO3 - -
(16)-CO3
and Services or
Unit-IV: 1 1 either or
1(2)-CO4,
Cloud Deployment 2 either 1(2)-CO4 (16)-CO4 -
Environment or
1(2)-CO5,
Unit-V: 1 either
2 1(2)-CO5 1 either or -
Cloud Security or
(16)-CO5
5 5(2)
2 either or
Total Qns. 10 either 5(2) 3 either or -
(16)
or (16)
Total Marks 20 80 10 58 32 -
Weightage 20% 80% 10% 58% 32% -
Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

L T P C
CS22641 UI/UX DESIGN
2 0 2 3
COURSE OBJECTIVES:
• To understand the basics concepts of Design Thinking process.

B.Tech Information Technology Page 149 of 252

 • To learn the fundamental concepts of User Interface Design process.
• To introduce the basic concepts of User Experience Design process.
• To induce the students to create a wireframe and prototype.
• To understand the various Research Methods used in Design
UNIT I FUNDAMENTALS OF DESIGN 6
Introduction to User Interface (UI) and User Experience (UX) – Evolution of Design – Need
of Good design - Core Stages of Design Thinking - Divergent and Convergent Thinking -
Brainstorming and Game storming – Observational Empathy.
UNIT II FUNDAMENTALS OF UI DESIGN 6
UI Design Principles - UI Elements and Patterns - Responsive Grids and Breakpoints –
Typography– Color Schemes – Branding - Style Guides.
UNIT III FUNDAMENTALS OF UX DESIGN 6
UX Design Process and its Methodology – Research in User Experience Design - Tools and
Methods used for Research – Usability Testing – Information architecture – Sitemaps.
UNIT IV WIREFRAMING AND PROTOTYPING 6
Sketching Principles - Sketching Red Routes - Tools used for UI and UX Design –
Wireframing - Creating Wireflows - Building a Prototype - Create interaction – Share
Prototypes – Comment on Prototype – Incorporate feedback – Export designs. - Prototype
Iteration.
UNIT V USER RESEARCH AND IDEATION 6
Identifying and Writing Problem Statements - Identifying Appropriate Research Methods -
Creating Personas - Solution Ideation - Creating User Stories - Creating Scenarios - Flow
Diagrams - Flow Mapping – Journey Map.

30 PERIODS

PRACTICAL EXERCISES
Use the design thinking process to create the ideal user interface design for a societal
1
application. Also include different UI interaction patterns and discuss them.
Develop an interface for responsive home page of hotel management system using
2
Icons, Primary and Secondary Buttons.
3 Developing an interface for a shopping application with proper UI Style Guides.
4 Make a wire flow diagram for a banking application using open-source software.
Develop an interface for a bus ticket booking application by conducting the end-to-
5
end user research.
Identify the customer problem that users of an agriculture information system are
6
having, then create an interface design to overcome that issue.
Sketch, design with popular tool and build a prototype and perform usability
7
testing and identify improvements.
30 PERIODS
TOTAL: 60 PERIODS
COURSE OUTCOMES:
At the end of the course, the students will be able to:
CO1: Explain the basic user interface and user experience design concepts.
CO2: Describe user interface design for real time applications.
CO3: Summarize user experience design process and its methodology.

B.Tech Information Technology Page 150 of 252

 CO4: Sketch Wireframe and Prototype for a new project.
CO5: Illustrate various User Experience Research methods in Design.
TEXT BOOKS:
Jon Yablonski, “Laws of UX using Psychology to Design Better Product & Services”,
1.
O'Reilly, 2021.
2. Joel Marsh, “UX for Beginners”, O’Reilly, 2022.
REFERENCES:
1. David Platt, “The Joy of UX: User Experience and Interactive Design for Developers”,
Addison-Wesley Professional, 2016.
2. Elisa Paduraru, “Fundamentals of Creating a Great UI/UX”, Creative Tim, 2022.
3. Jenifer Tidwell, Charles Brewer, Aynne Valencia, “Designing Interfaces”, Third
Edition, O'Reilly Media, 2020.
4. Garrett JJ, “The elements of user experience: user-centered design for the Web”,
Berkeley: New Riders, 2011.
5. https://www.interaction-design.org/literature.

Mapping of Course Outcomes to Program Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 1 1 3 1 - - - 3 3 2 1 2 - -
CO2 2 3 1 3 2 - - - 1 2 2 2 1 - -
CO3 1 3 3 2 2 - - - 2 3 1 2 1 - -
CO4 1 2 3 2 1 - - - 2 1 1 1 3 - -
CO5 1 3 3 2 2 - - - 2 3 1 2 3 - -
CO 2 2 2 2 2 - - - 2 2 1 2 2 - -
3-High, 2- Medium, 1-Low

Table of Specification for End Semester Question Paper

CognitiveLevel
Total 2 Total 16
Marks Marks Remember Understand Apply Analyse(An)
Unit No.andTitle (Re) (Un) (Ap) Evaluate(Ev)
Qns. Qns.
No.ofQns.(marks)andCO
Unit-I:
1either or
Fundamentals of 2 1either or 2(2)-CO1 - -
(16)- CO1
Design
Unit-II: 1(2)-CO2
Fundamentals of UI 2 1either or 1(2)- CO2 1either or - -
Design (16)-CO2
Unit-III: 1(2)-CO3
Fundamentals of UX 2 1either or 1(2)- CO3 1either or - -
Design (16)- CO3

B.Tech Information Technology Page 151 of 252

 Unit-IV:
1(2)-CO4, 1either or
Wireframing and 2 1either or 1(2)-CO4 -.
(16)- CO4
Prototyping
Unit-V:
1(2)-CO5, 1either or
User Research and 2 1either or 1(2)-CO5 -
(16)- CO5
Ideation
4(2)
2 either or
Total Qns. 5either or 6(2) 3either or -
10 (16)
(16)
Total Marks 20 80 12 56 32 -
Weightage 20% 80% 14% 54% 32% -
Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

DEVOPS L T P C
IT22611
2 0 2 3
COURSE OBJECTIVES:
• To describe the agile relationship between development and IT operations.
• To understand the different Version control tools like Git
• To understand the concepts of Continuous Integration/ Continuous Testing/
Continuous Deployment
• To understand Configuration management using Ansible
• Illustrate the benefits and drive the adoption of cloud-based DevOps tools to solve
real world problems
UNIT I INTRODUCTION TO DEVOPS 6
Introduction, Agile development model, DevOps Essentials, Introduction To AWS, GCP,
Azure - Version control systems: Git and Github.

UNIT II DEVOPS BUILD TOOLS 6

Introduction, Installation of Maven, POM files, Maven Build lifecycle, Build
phases(compile build, test, package) Maven Profiles, Maven repositories(local, central,
global),Maven plugins, Maven create and build Artificats, Dependency management,
Installation of Gradle, Understand build using Gradle.

UNIT III CONTINUOUS INTEGRATION USING JENKINS 6

Integrating the system: Build systems, Jenkins Architecture Overview, Creating a Jenkins
Job, Configuring a Jenkins job, Introduction to Plugins, Adding Plugins to Jenkins,
Commonly used plugins (Git Plugin, Parameter Plugin, HTML Publisher, Copy Artifact and
Extended choice parameters). Configuring Jenkins to work with java, Git and Maven,
Creating a Jenkins Build and Jenkins workspace.
UNIT IV TESTING AND CONFIGURATION MANAGEMENT 6

B.Tech Information Technology Page 152 of 252

 Testing Tools and automation: Various types of testing, Automation of testing Pros and cons,
Selenium - Introduction, Selenium features, JavaScript testing, Testing backend integration
points, Deployment of the system: Deployment systems, Virtualization stacks, code
execution at the client, Puppet master and agents, Ansible.

UNIT V BUILDING DEVOPS PIPELINES USING AZURE 6

Create Github Account, Create Repository, Create Azure Organization, Create a new
pipeline, Build a sample code, Modify azure-pipelines.yaml file
TOTAL: 30 PERIODS
LIST OF EXPERIMENTS
1. Create Maven Build pipeline in Azure
2. Run regression tests using Maven Build pipeline in Azure
3. Build a simple application using Gradle
4. Create CI pipeline using Jenkins
5. Create a CD pipeline in Jenkins and deploy in Cloud
6. Create an Ansible playbook for a simple web application infrastructure
7. Configure ansible roles and to write playbooks
TOTAL: 30 PERIODS
COURSE OUTCOMES:
At the end of the course, the students will be able to:
CO1: Explain the terminology and concepts of DevOps and version control tools.
CO2: Perform Continuous Integration and Building using Maven and Gradle.
CO3: Apply Jenkins to automate continuous deployment.
CO4: Perform testing and configuration management using Ansible.
CO5: Demonstrate Cloud-based DevOps tools using Azure DevOps
TEXT BOOKS:
1 Joakim Verona, “Practical Devops”, Second Edition. Ingram short title,2018.
Deepak Gaikwad and Viral Thakkar, “ DevOps Tools from Practitioner's
2 Viewpoint”, Wiley publications, 2020.

REFERENCES:
Roberto Vormittag, “A Practical Guide to Git and GitHub for Windows
1 Users: From Beginner to Expert in Easy Step-By-Step Exercises”, Second
Edition, 2016.
Len Bass, Ingo Weber, Liming Zhu, “DevOps: A Software Architect's
2
Perspective”, Addison Wesley, 2018.
Jeff Geerling, “Ansible for DevOps: Server and configuration management
3
for humans”, LeanPub, 2015.
Mitesh Soni, “Hands-On Azure Devops: CICD Implementation for Mobile,
4 Hybrid, and Web Applications Using Azure Devops and Microsoft Azure”,
2020.
Mariot Tsitoara, “Ansible Beginning Git and GitHub: A Comprehensive
5 Guide to Version Control, Project Management, and Teamwork for the New
Developer”, Second Edition, Apress, 2019.

B.Tech Information Technology Page 153 of 252

 Mapping of Course Outcomes to Program Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 1 3 - 2 - - - - - - - 3 - -
CO2 3 2 1 - 2 - - - - - - - 3 - -
CO3 3 1 2 - 2 - - - - - - - 3 - -
CO4 3 1 3 - 2 - - - - - - - 3 - -
CO5 3 2 2 - 2 - - - - - - - 3 - -
CO 3 1 2 - 2 - - - - - - - 3 - -
3-High, 2- Medium, 1-Low

Table of Specifications for End Semester Question Paper

Cognitive Level
Analyse
Total 2 Total 16 (An)
Unit No. and Title Marks Marks Remember Understand Apply
Evaluat
Qns. Qns. (Re) (Un) (Ap)
e
(Ev)
No. of Qns. (marks) and CO
Unit-I: 1(2)-CO1
1 either
Introduction to 2 1(2)-CO1 1 either or -
or
DevOps (16)- CO5
1(2)- CO2
Unit-II: 1 either
2 1(2)-CO2 1 either or - -
DevOps Build Tools or
(16)- CO2
Unit-III:
Continuous 1 either 1 either or
2 2(2)- CO3 - -
Integration using or (16)- CO3
Jenkins
Unit-IV:
Testing and 1 either 1 either or
2 1(2)-CO4 1 (2)- CO4 -
Configuration or (16)- CO4
Management
UNIT-V:
Building Devops 1 either 1 either or
2 2(2)-CO5 - -
Pipelines using or (16)- CO5
Azure
3(2) 3 either
5 either
Total Qns. 7(2) 2 either or or -
10 or
(16) (16)
Total Marks 20 80 14 38 48 -

Weightage 20% 80% 14% 38% 48% -

B.Tech Information Technology Page 154 of 252

 Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

ADVANCED WED APPLICATION L T P C

IT22711 DEVELOPMENT
2 0 2 3
COURSE OBJECTIVES:
• To design and implement interactive web forms using HTML
• To use JavaScript to interact with HTML forms, access and manipulate DOM
elements.
• To utilize JavaScript objects to organize and encapsulate data and functionality.
• To use appropriate colors and integrate multimedia files into web pages.
• To develop advanced web page layouts using CSS animations.

UNIT I WEB-BASED FORMS 6

How HTML Forms Work - Creating a Form - Accepting Text Input - Grouping Form
Elements - Exploring Form Input Controls - Using HTML5 Form Validation.
UNIT II JAVA SCRIPT AND DOCUMENT OBJECT MODEL (DOM) 6
Submitting Form Data - Accessing Form Elements with JavaScript -Understanding the
Document Object Model - Using window Objects - Working with the document Object -
Accessing Browser History - Modifying Text in a Page - Adding Text to a Page.
UNIT III USING OBJECTS 6
Introducing Objects - Using Objects to Simplify Scripting - Extending Built-in Objects -
Using the Math Object - Working with Math Methods - Working with Dates.
UNIT IV COLORS, IMAGES, AND MULTIMEDIA 6
Best Practices for Choosing Colors - Understanding Web Colors - Preparing Photographic
Images - Creating Banners and Buttons - Placing Images on a Web Page - Describing Images
with Text - Linking to Multimedia Files - Embedding Multimedia Files.
UNIT V ADVANCED CSS 6
Advanced web page design with CSS : CSS box model and positioning– How the CSS
Box Model affects List – Creating layout using modern CSS techniques – Using CSS
transformation and transition - Animation with CSS and the canvas.
TOTAL: 30 PERIODS
LIST OF EXPERIMENTS

B.Tech Information Technology Page 155 of 252

 1. Design a Web Application for an Organization with Registration forms and
advanced controls.
2. Use CSS to apply different styles such as borders, margins, padding, and
backgrounds to each element.
3. Experiment with CSS animations to create engaging visual effects such as fading,
sliding, rotating, and scaling elements.
4. Apply CSS transformations (e.g., translate, rotate, scale) to HTML elements to
create visual effects such as animations and transitions.
5. Write JavaScript functions to access form elements by their IDs or names.
6. Use CSS to style HTML elements as banners and buttons, applying background
images, gradients, and hover effects.
7. Create Date objects to represent specific dates and times in JavaScript.
TOTAL: 30 PERIODS
COURSE OUTCOMES:
At the end of the course, the students will be able to:
CO1: Design and implement interactive web forms using HTML
Use JavaScript to interact with HTML forms, access and manipulate DOM
CO2:
elements.
CO3: Utilize JavaScript objects to organize and encapsulate data and functionality.
CO4: Use appropriate colors and integrate multimedia files into web pages.
CO5: Develop advanced web page layouts using CSS animations.
TEXT BOOKS:
Julie C. Meloni, Jennifer and Kyrnin, “HTML, CSS, and JavaScript All in One:
1 Covering HTML5, CSS3, and ES6”, Sams Teach Yourself, 2020.

DT Editorial Services , “HTML 5 Black Book, Covers CSS 3, JavaScript,

2
XML, XHTML, AJAX, PHP and jQuery”, Second Edition, DreamTech,2020.
REFERENCES:
1 Andy Harris , “HTML5 and CSS3 All-in-One”, Third Edition, For Dummies,
2014.
2 David Sawyer McFarland, “CSS: The Missing Manual”, Second Edition,
O’Reilly,2010.
3 Magige Robi,” HTML 5 Made Easy: A beginner's Handbook to easily Learn
HTML 5”, 2021.

4 Christopher Schmitt , “ HTML 5 Cookbook: Solutions & Examples for

HTML5 Developers”, O’Reilly,2011.

5 Ivan Bayross, “HTML 5 & CSS Made Simple”, BPB Publications,2011.

Mapping of Course Outcomes to Program Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3

B.Tech Information Technology Page 156 of 252

 CO1 2 1 3 - 3 - - - - - - - - - 3
CO2 2 2 3 - 3 - - - - - - - - - 3
CO3 2 2 3 - 3 - - - - - - - - - 3
CO4 2 1 3 - 3 - - - - - - - - - 3
CO5 2 2 3 - 3 - - - - - - - - - 3
CO 2 2 3 - 3 - - - - - - - - - 3
3-High, 2- Medium, 1-Low

Table of Specifications for End Semester Question Paper

Cognitive Level
Analyse
Total 2 Total 13 (An)
Unit No. and Title Marks Marks Remember Understand Apply
Evaluat
Qns. Qns. (Re) (Un) (Ap)
e
(Ev)
No. of Qns. (marks) and CO
Unit-I: 1 either 1 either or
2 1(2)-CO1 1 (2)- CO1 -
Web-Based Forms or (13)- CO1
Unit-II:
Java Script and 1 either 1 either or
2 1(2)-CO2 1 (2)- CO2 -
Document Object or (13)- CO2
Model (DOM)
Unit-III: 1 either 1 either or
2 2(2)- CO3 1 (2)- CO3 -
Using Objects or (13)- CO3
Unit-IV:
1 either 1 either or
Colors, Images, and 2 1(2)-CO4 1 (2)- CO4 -
or (13)- CO4
Multimedia
UNIT-V: 1 either 1 either or
2 2(2)-CO5 1 (2)- CO5 -
Advanced CSS or (13)- CO5
3(2) 3 either
5 either
Total Qns. 7(2) 2 either or or -
10 or
(16) (16)
Total Marks 20 80 14 38 48 -

Weightage 20% 80% 14% 38% 48% -

Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

IT22712 DIGITAL MARKETING L T P C

B.Tech Information Technology Page 157 of 252

 2 0 2 3

COURSE OBJECTIVES

• To explore the role of digital marketing in the business environment.

• To make a clear understanding of how to formulate a SEO technique.
• To know the key elements of email and mobile marketing.
• To utilize social media effectively for marketing.
UNIT I INTRODUCTION TO DIGITAL MARKETING 6
Introduction of Digital Marketing – Digital Marketing vs Traditional Marketing - Digital
Marketing Strategy- Components - Opportunities for building Brand Website - Content
Marketing.

UNIT II SEARCH ENGINE OPTIMISATION 6

Search Engine optimisation - Keyword Strategy- SEO success factors -On-Page Techniques
- Off-Page Techniques. Search Engine Marketing- How Search Engine works- SEM
components- PPC advertising -Display Advertisement.

UNIT III EMAIL MARKETING 6

E- Mail Marketing – Types of E- Mail Marketing – Email Automation – Lead Generation –
Measuring and maximizing email campaign effectiveness. Mobile Marketing- Mobile
Inventory/channels- Location based; Context based; Coupons and offers, Mobile Apps,
Integrating Email with social media and Mobile - Mobile Commerce, SMS Campaigns-
Profiling and targeting.

UNIT IV SOCIAL MEDIA MARKETING 6

Social Media Marketing – Social Media Channels- Leveraging social media for brand
conversations and buzz. Successful /benchmark social media campaigns. Engagement
Marketing- Building Customer relationships – Creating Loyalty drivers – Influencer
Marketing.

DIGITAL TRANSFORMATION
UNIT V 6
Digital Transformation & Channel Attribution- Analytics- Ad-words, Email, Mobile, social
media, Web Analytics – Changing your strategy based on analysis- Recent trends in Digital
marketing.

TOTAL PERIODS: 30
PRACTICAL EXERCISES
Subscribe to a weekly/quarterly newsletter and analyze how its content and
1 structure aid with the branding of the company and how it aids its potential
customer segments.

B.Tech Information Technology Page 158 of 252

 Discuss an interesting case study regarding how an insurance company/ banking
2
sector manages leads.
Discuss negative and positive impacts and ethical implications of using the
3
trending social media apps for political advertising.
Perform keyword search for a skincare hospital website based on search volume
4
and competition using Google keyword planner tool.
5 Demonstrate how to use the Google Web Masters Indexing API.
6 Discuss how Predictive analytics is impacting marketing automation.
TOTAL PERIODS: 30
COURSE OUTCOMES
Upon completion of the course, students will be able to

CO1: Explain the need of digital marketing strategies for today’s business trends.

CO2: Explore the different SEO techniques used in digital marketing.

CO3: Apply email and mobile marketing effectively for advertising the product or
service.
CO4: Apply social media marketing strategies to engage customer effectively in
business.
CO5: Apply various analytical methods to measure the impact of various marketing
strategies.
TEXT BOOKS
1. Seema Gupta, “Digital Marketing”, Third Edition, Mc Graw Hill, 2022.
Kailash Chandra Upadhyay, “Digital Marketing: Complete Digital Marketing
2. Tutorial”, Notion Press, 2021.

REFERENCE BOOKS
Puneet Singh Bhatia, “Fundamentals of Digital Marketing”, Pearson
1.
Education, 2017.
2. Vandana Ahuja, “Digital Marketing”, Oxford University Press, 2015.
Philip Kotler, “Marketing 4.0: Moving from Traditional to Digital”, Wiley,
3.
2017.
Barker, Barker, Bormann and Neher, “Social Media Marketing: A Strategic
4.
Approach”, Second Edition, South-Western Cengage Learning, 2017.
Pulizzi,J, “Beginner's Guide to Digital Marketing”, Mcgraw Hill Education,
5.
2015.

Mapping of Course Outcomes to Program Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3

B.Tech Information Technology Page 159 of 252

 CO1 3 2 1 - - - - - - - - - 3 - -
CO2 3 2 1 - - - - - - - - - 3 - -
CO3 3 2 1 - - - - - - - - - 3 - -
CO4 3 2 1 - - - - - - - - - 3 - -
CO5 3 2 1 - - - - - - - - - 3 - -
CO 3 2 1 - - - - - - - - - 3 - -
3-High, 2- Medium, 1-Low

Table of Specifications for End Semester Question Paper

Unit No. and Title Total Total Cognitive Level
2 16
Mark Marks Remembe Understan Apply Anal
s Qns. Qns. r (Kn) d (Un) (Ap) yse
(An)
Eval
uate
(Ev)

Unit-I: 1 either
1 either 2(2)- or
Introduction to 2 - -
or CO1 (16)-CO1
Digital Marketing
Unit-II:
1 either 2(2)- 1 either or
Search Engine 2 (16)-CO2 - -
or CO2
Optimisation
1(2) and
Unit-III: 1 either 1(2)-
2 1either or - -
Email Marketing or CO3
(16) - CO3
Unit-IV: 1(2) and
1 either
Social Media 2 1(2)-CO4 1either or - - .
or
Marketing (16) - CO4
Unit-V: 1 either
1 either
Digital 2 1(2)-CO5 1(2)-CO5 or (16)- -
or CO5
Transformation
1 either 3 (2) and 4 1 either
Total Qns. 7 (2) -
10 or either or or
Total Marks 20 80 14 70 16 -

Weightage 20% 80% 14% 70% 16% -

Weightage for Cos

CO1 CO2 CO3 CO4 CO5

B.Tech Information Technology Page 160 of 252

 Total Marks 20 20 20 20 20

Weightage 20% 20% 20% 20% 20%

CS22753 L T P C
SALESFORCE ADMINISTRATION
2 0 2 3
COURSEOBJECTIVES:
• To understand Salesforce architecture and features.
• To know the customization process in Salesforce.
• To understand the security model.
• To understand the business process automation features
• To understand the reports and dashboard
UNIT I SALESFORCE FUNDAMENTALS 6
Introduction to CRM- CRM Use Cases - Why Salesforce? - Overview of Salesforce
platform and its Architecture - Advantage of Salesforce, Salesforce editions and licenses -
Salesforce user interface and navigation - Salesforce Mobile App and Salesforce Lightning
Experience -Signing up Developer Edition - Standard Objects - Creating Custom Objects -
Fields and data types - Apps Creation.
SALESFORCE DATA MANAGEMENT AND CUSTOMIZATION
UNIT II
ESSENTIALS 6
Relationships and junction objects, Roll-up Summary- Creating Formula Fields, Schema
Builder. Data Validation - Validation rules. Working with Record Types and Page Layouts
- Compact Layout- Lightning Record Pages – Home Page Customization -Path Settings. -
List Views - Data import and data management tools.
UNIT III SECURITY AND DATA ACCESS 6
Public groups and Queues - Organization Security Controls - Passwords, IP restrictions,
Network Settings. User Setup and Security - User Creation- Security Model: Profiles -
Permission Set - Permission Set Group - Salesforce Sharing model - Organization Wide
Defaults (OWD) - Role Hierarchy - Sharing Rules - Manual Sharing.
UNIT IV BUSINESS PROCESS AUTOMATION 6
Introduction to Workflow and Process Builder - Work flow rules – Workflow action -
Email Alerts and Field Updates. Flows: Types of Flow Screen Flow- Record Triggered
Flow- Scheduled Trigger Flow- Auto Launched Flow. uses cases of Process Automation. -
Approval Processes.
UNIT V REPORTS, DASHBOARDS, AND ANALYTICS 6
Creating or customizing a Report –Types of Reports - Summary Report- Tabular Report -
Matrix Report - Joined Report. Row Level Formula – Summary Level Formula. Various
charts in Reports. Creating and modifying Dashboards – Filters – Various Charts - Standard
Dashboards & Dynamic Dashboards. Folder Creation and Sharing.

30 PERIODS

B.Tech Information Technology Page 161 of 252

 PRACTICAL EXERCISES
1 Create Objects, Fields and App
2 Explore Data Types
3 Create Fields and Relationships
4 Create Record Types (create), Page Layout (adding section, field property
settings), Page Layout Assignment (assign page layout based on Record
types)
5 Create Lightning Record Page, List View, Path Settings
6 Validation Rule
7 Automation I
a.Screen Flow
b.Auto Launched Flow
8 Automation II
a. Record Trigger Flow
b. Scheduled Trigger Flow
c. Approval Process
9 Security
a.Profiles and Permission Set
b.Org Wide Default
c.Roles
d.Sharing Rules
e.Manual Sharing
10 Reports and Dashboards
a.Custom Report Types
b.Dynamic Dashboards
c. Report and Dashboards Sharing
30 PERIODS
TOTAL: 60 PERIODS
COURSE OUTCOMES:
At the end of the course, the students will be able to:
Apply data modelling techniques to design and configure custom objects, fields,
CO1:
and relationships in Salesforce.
Apply advanced data management and customization techniques in Salesforce to
CO2:
enhance data organization and user experience
Evaluate and recommend appropriate Salesforce user setup and security settings
CO3:
to control access and permissions.
Develop advanced automation solutions using Process Builder and Visual
CO4:
Workflow to meet complex business requirements.
Evaluate and recommend appropriate reporting and analytics strategies based on
CO5:
business requirements.
TEXT BOOKS:
Enrico Murru, “Salesforce Advanced Administrator Certificate”, Packt Publishers,
1.
2019.
2. Rakesh Gupta, “Mastering Salesforce CRM Administration”, Packt Publishers, 2017.

REFERENCES:
1. Wes Nolte, Jeff Douglas, “Salesforce Handbook”, Includes Winter ’11 Publishers,
2011.

B.Tech Information Technology Page 162 of 252

 2. Tom Wong, Liz Kao, Matt Kauff, “Salesforce.com for Dummies”, Fifth Edition, Expert
Salesforce.com Consultants, 2015.
3. Rakesh Gupta, “Learning Salesforce Visual Workflow and Process Builder”, Packt
Publishers, Second Edition, 2017.
4. Jonathan Keel, “Salesforce.com Lightning Process Builder and Visual Workflow”,
Apress, 2016.
Mapping of Course Outcomes to Program Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 2 1 1 1 2 - - - - - 1 1 1 - -
CO2 2 1 1 1 2 - - - - - 1 1 1 - -
CO3 2 1 1 1 2 - - - - - 1 1 1 - -
CO4 2 1 1 1 2 - - - - - 1 1 1 - -
CO5 2 1 1 1 2 - - - - - 1 1 1 - -
CO 2 1 1 1 2 - - - - - 1 1 1 - -
3-High, 2- Medium, 1-Low

Table of Specifications for End Semester Question Paper

Total 2 Total 16 Cognitive Level
Unit No .and Title Marks Marks Remember Understand Apply Analyse(An)
Qns. Qns. (Kn) (Un) (Ap) Evaluate(Ev)
No.of Qns.(marks) and CO
Unit-I: Salesforce 2 2(2)-CO1 1 either or - -
1either or
Fundamentals (16)- CO1
Unit-II: Salesforce 2 1(2)- CO2 1(2)-CO2 - -
Data Management 1 either or
1either or
and Customization (16)-CO2
Essentials
Unit-Ill: Security 2 1(2)- CO3 1(2)-CO3 - -
and Data Access 1either or 1 either or
(16)- CO3
Unit-IV: Business 2 1(2)-CO4 1(2)-CO4, 1 either or -.
Process Automation 1either or (16)- CO4

Unit-V: Reports, 2 1(2)-CO5 1(2)-CO5, 1 either or -

Dashboards, and 1either or (16)- CO5
Analytics
Total Qns. 6(2) 4(2) 2 either or -
10 5 either or 3eitheror (16)
(16)
Total Marks 20 80 12 56 32 -
Weightage 20% 80% 12% 56% 32% -
Weightage for Cos

B.Tech Information Technology Page 163 of 252

 CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

VERTICAL II: ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

CS22521 L T P C
SOFT COMPUTING
2 0 2 3
COURSE OBJECTIVES:
• To introduce the ideas of fuzzy sets, fuzzy logic and use of heuristics based on human
experience.
• To provide the mathematical background for carrying out the optimization associated
with neural network learning
• To learn various evolutionary Algorithms.
• To become familiar with neural networks that can learn from available examples and
• generalize to form appropriate rules for inference systems.
• To introduce case studies utilizing the above and illustrate the Intelligent behavior of
• programs based on soft computing
UNIT I
INTRODUCTION TO SOFT COMPUTING AND FUZZY LOGIC 6
Introduction - Fuzzy Logic - Fuzzy Sets, Fuzzy Membership Functions, Operations on Fuzzy
Sets, Fuzzy Relations, Operations on Fuzzy Relations, Fuzzy Rules and Fuzzy Reasoning,
Fuzzy Inference Systems
UNIT II
NEURAL NETWORKS 6
Supervised Learning Neural Networks – Perceptrons - Backpropagation -Multilayer
Perceptrons –Unsupervised Learning Neural Networks – Kohonen Self-Organizing
Networks
UNIT III
GENETIC ALGORITHMS 6
Chromosome Encoding Schemes -Population initialization and selection methods -
Evaluation function - Genetic operators- Cross over – Mutation - Fitness Function –
Maximizing function
UNIT IV
NEURO FUZZY MODELING 6
ANFIS architecture – hybrid learning – ANFIS as universal approximator – Coactive Neuro
fuzzy modeling – Framework – Neuron functions for adaptive networks – Neuro fuzzy
spectrum - Analysis of Adaptive Learning Capability
UNIT V
APPLICATIONS 6
Modeling a two input sine function - Printed Character Recognition – Fuzzy filtered neural
networks – Plasma Spectrum Analysis – Hand written neural recognition - Soft Computing
for Color Recipe Prediction.

B.Tech Information Technology Page 164 of 252

 TOTAL:30 PERIODS

PRACTICAL EXERCISES
1 Implementation of fuzzy control/ inference system.
2 Programming exercise on classification with a discrete perceptron.
3 Implementation of XOR with backpropagation algorithm.
4 Implementation of self organizing maps for a specific application
5 Programming exercises on maximizing a function using Genetic algorithm
6 Implementation of two input sine function
7 Implementation of three input non linear function

TOTAL: 30 PERIODS
COURSE OUTCOMES:
At the end of the course, the students will be able to:
CO1: Summarize the fundamentals of fuzzy logic operators and inference mechanisms
Describe neural network architecture for AI applications such as classification and
CO2:
Clustering
CO3: Interpret the functionality of Genetic Algorithms in Optimization problems
CO4: Use hybrid techniques involving Neural networks and Fuzzy logic
CO5: Apply soft computing techniques in real world applications
TEXT BOOKS:
J.S.R.Jang, C.T.Sun and E.Mizutani, “Neuro-Fuzzy and Soft Computing”, Pearson
1.
Education, 2015.
Himanshu Singh, Yunis Ahmad Lone, “Deep Neuro-Fuzzy Systems with Python”,
2.
Apress, 2020.
REFERENCES:
1. Roj Kaushik and Sunita Tiwari, “Soft Computing-Fundamentals Techniques and
Applications”, McGraw Hill, 2018.
2. S. Rajasekaran and G.A.V.Pai, “Neural Networks, Fuzzy Logic and Genetic
Algorithms”, PHI, 2011.
3. Samir Roy, Udit Chakraborthy, “Introduction to Soft Computing, Neuro Fuzzy and
Genetic Algorithms”, Pearson Education, 2013.
4. S.N. Sivanandam, S.N. Deepa, “Principles of Soft Computing”, Third Edition, Wiley
India Pvt Ltd, 2019.
5. Russell C. Eberhart, Yuhui Shi, “Computational Intelligence Concepts to
Implementations”, Elsevier, 2011.

Mapping of Course Outcomes to Program Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 2 3 3 3 - - - 3 1 3 2 3 1 2
CO2 2 3 3 2 3 - - - 3 2 3 2 2 1 3

B.Tech Information Technology Page 165 of 252

 CO3 1 3 2 2 1 - - - 3 1 1 2 1 3 2
CO4 1 2 1 3 2 - - - 3 3 1 1 2 1 1
CO5 2 3 1 2 1 - - - 3 3 3 2 1 2 3
CO 2 3 2 2 2 - - - 3 2 2 2 2 2 2
3-High, 2- Medium, 1-Low

Table of Specification for End Semester Question Paper

Total 2 Total 16 Cognitive Level
Unit No. and Title Marks Marks Remember Understand Apply Analyse(An)
Qns. Qns. (Kn) (Un) (Ap) Evaluate(Ev)
No.of Qns.(marks) and CO
Unit-I: 1either or 2(2)-CO1
Introduction to Soft 1either or
2 - -
Computing and (16)- CO1
Fuzzy Logic
Unit-II: 1either or 2(2)-CO2 1either or
2 - -
Neural Networks (16)- CO2
Unit-III: 1either or 1(2)- CO3 1either or
Genetic Algorithms 2 (16)- CO3 - -
1(2)-CO3
Unit-IV: 1either or 1(2)-CO4 1(2)-CO4
1either or
Neuro Fuzzy 2 -
(16)- CO4
Modeling
Unit-V: 1either or 1(2)-CO5 1(2)-CO5 1either or
2 -
Applications (16)- CO5
Total Qns. 5either or 3(2)
2either or
10 7 3eitheror -
(16)
(16)
Total Marks 20 80 14 54 32 -
Weightage 20% 80% 14% 54% 32% -
Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

L T P C
IT22521 ARTIFICIAL INTELLIGENCE
2 0 2 3
COURSE OBJECTIVES
• To know the basics of AI and Intelligent agents
• To understand the basic problem-solving strategies
• To outline constraint satisfaction problems, adversial and game theory-based search

B.Tech Information Technology Page 166 of 252

 • To understand logical reasoning and Bayes’ rule
• To discuss the applications, ethics and future of AI
UNIT I INTRODUCTION AND INTELLIGENT AGENTS 6
Introduction: Foundations of AI - History of AI - Intelligent agents: Agents and Environments
– Concepts of Rationality - Nature of environments - Structure of Agents - Problem Solving
Agents, Example Problems.
UNIT II PROBLEM-SOLVING 6
Solving Problems by Searching: Search Algorithms, Uninformed Search Strategies, Informed
(Heuristic) Search Strategies -Search in Complex Environments: Local search and optimization
problems.
CONSTRAINT SATISFACTION PROBLEMS AND
UNIT III 6
ADVERSARIAL SEARCH
Constraint Satisfaction Problems: Defining Constraint Satisfaction Problems - Backtracking
Search for CSPs - Local Search for CSPs - Adversarial Search and Games: Game Theory -
Optimal Decisions in Games: The minimax search algorithm, Alpha-Beta Pruning- Monte Carlo
Tree Search.
UNIT IV LOGICAL REASONING AND QUANTIFYING UNCERTAINTY 6
Logical Agents: Knowledge-Based Agents - Propositional Logic - First-Order Logic: Syntax and
Semantics of First-Order Logic-Inference in First Order logic - Quantifying Uncertainty: Acting
under Uncertainty - Basic Probability Notation - Bayes’ Rule and Its Use - Naive Bayes Models.
UNIT V APPLICATIONS, ETHICS AND FUTURE OF AI 6

AI Applications: NLP, Robotics - Ethics of AI - Future of AI: AI Components -AI Architectures.

TOTAL PERIODS: 30
LIST OF EXPERIMENTS:
1 Implement basic search strategies: 8-Puzzle Problem
2 Implement Uninformed Search Technique: Breadth First Search
3 Implement Uninformed Search Technique: Depth First Search
4 Implement Informed Search Technique: A* Algorithm
5 Implement Local Search Technique: Hill Climbing Algorithm
6 Solve Constraint Satisfaction Problems
7 Implement Game Playing Algorithms: Minimax and Alpha Beta Pruning
TOTAL PERIODS: 30
COURSE OUTCOMES
Upon completion of the course, students will be able to
CO1: Explain the basics of AI, intelligent and problem-solving agents
CO2: Implement the search algorithm for solving AI problems

B.Tech Information Technology Page 167 of 252

 Illustrate constraint satisfaction problems, adversial and game theory-based
CO3:
search
CO4: Apply logical reasoning and Bayes’ rule that can reason under uncertainty
CO5: Illustrate the applications, ethics and future of AI
CO6: Analyse the various search techniques in AI
TEXT BOOKS
Stuart Russell and Peter Norvig, “Artificial Intelligence – A Modern Approach”,
1.
Fourth Edition, Pearson Education, 2022.
David L. Poole and Alan K. Mackworth, “Artificial Intelligence: Foundations of
2.
Computational Agents”, Third Edition, Cambridge University Press, 2023.
REFERENCE BOOKS
Lavika Goel, “Artificial Intelligence: Concepts and Applications”, Wiley, 2021.
1.
Ela Kumar , “Artificial Intelligence”, Dreamtech Press, 2020.
2.
Dr. Nilakshi Jain, “Artificial Intelligence: Making a System Intelligent”, Wiley,
3.
2019.
Ertel Wolfgang, “Introduction to Artificial Intelligence”,WTICS,2017.
4.
Deepak Khemani, “Artificial Intelligence”, Tata McGraw Hill Education, 2013.
5.

Mapping of Course Outcomes to Program Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 3 3 2 3 - - - - - - 1 - 3 -
CO2 3 3 3 2 3 - - - - - - 1 - 3 -
CO3 3 3 3 2 3 - - - - - - 1 - 3 -
CO4 3 3 3 2 3 - - - - - - 1 - 3 -
CO5 3 3 3 3 - 2 - 3 - - - 1 - 3 -
CO 3 3 3 2 3 2 - - - - - 1 - 3 -
3-High, 2- Medium, 1-Low

Table of Specifications for End Semester Question Paper

Total
Total 2 Cognitive Level
16
Unit No. and Title Marks
Marks Remembe Understand Apply Analyse
Qns.
Qns. r (Re) (Un) (Ap) (An)

B.Tech Information Technology Page 168 of 252

 Evaluate
(Ev)
Unit-I:
1 either 2(2)- 1 either or
Introduction and 2 - -
or CO1 (16)-CO1
Intelligent Agents

1 either or
Unit-II: 1 either 1(2)-
2 1(2)- CO2 (16)- -
Problem-Solving or CO2
CO2
Unit-III:
Constraint
1 either 1 either or
Satisfaction 2 2(2)-C03 - -
or (16)- C03
Problems and
Adversarial Search
Unit-IV:
1 either or
Logical Reasoning 1 either
2 1(2)-CO4 1(2)-CO4 (16)- - .
and Quantifying or
CO4
Uncertainty
Unit-V:
Applications, 1 either 1 either or
2 2(2)-CO5 -
Ethics and Future or (16)-CO5
of AI
2(2)
2 either
5 either 3 either
Total Qns. or -
10 or 8(2) or
(16)
(16)
Total Marks 20 80 16 52 32 -
Weightage 20% 80% 16% 52% 32% -
Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

OPTIMIZATION TECHNIQUES L T P C
IT22621
2 0 2 3
COURSE OBJECTIVES:
• To know the basics of optimization
• To understand various linear programming methods
• To understand optimization algorithms for solving unconstrained optimization
problems
• To study various optimization algorithms for solving unconstrained optimization
problems

B.Tech Information Technology Page 169 of 252

 • To know various methods of Optimization

UNIT I INTRODUCTION TO OPTIMIZATION 6

Introduction to Optimization: Engineering application of Optimization – Statement of an
Optimization problem – Optimal Problem formulation – Classification of Optimization
problem. Optimum design concepts: Definition of Global and Local optima – Optimality
criteria – Review of basic calculus concepts – Global optimality.

UNIT II LINEAR PROGRAMMING METHODS 6

Linear programming methods for optimum design: Review of Linear programming methods
for optimum design – Post optimality analysis – Application of LPP models in design and
manufacturing.
UNIT III UNCONSTRAINED OPTIMIZATION PROBLEMS 6
Optimization algorithms for solving unconstrained optimization problems – Gradient based
method: Cauchy’s steepest descent method, Newton’s method, Conjugate gradient method.
UNIT IV CONSTRAINED OPTIMIZATION PROBLEMS 6
Optimization algorithms for solving constrained optimization problems – direct methods –
penalty function methods – steepest descent method – Engineering applications of
constrained and unconstrained algorithms.
UNIT V OPTIMIZATION METHODS 6
Modern methods of Optimization: Genetic Algorithms – Simulated Annealing – Ant colony
optimization – Tabu search – Neural-Network based Optimization – Fuzzy optimization
techniques – Applications. Use of Matlab to solve optimization problems.
TOTAL: 30 PERIODS
LIST OF EXPERIMENTS
1. Formulate engineering system design problem as an optimization problem.
2. The problem formulated in Experiment No. 1 should be solved graphically and
identify the nature of problem.
3. By using excel solver solve unconstrained and constrained optimization problems
create excel worksheets.
4. Apply the simplex method algorithm and solve LPP by two-phase simplex method
numerically.
5. Solve quadratic programming problem numerically and verify results.
6. Verify the descent conditions for a given search direction for unconstrained
optimization problem and calculate step size along search direction using Equal
Interval Search method numerically and verify results.
TOTAL: 30 PERIODS
COURSE OUTCOMES:
At the end of the course, the students will be able to:
CO1: Explain the basics of optimization
CO2: Illustrate the various linear programming methods

B.Tech Information Technology Page 170 of 252

 CO3: Apply numerical methods algorithms to solve unconstrained problems.
CO4: Examine various constrained problems
Apply algorithm of simplex method to solve quadratic programming problem
CO5:
numerically.
TEXT BOOKS:
Rao S. S., “Engineering Optimization, Theory and Practice”, Fourth Edition,
1
New Age International Publishers, 2012.
Ashok D. Belegundu and Tirupathi R. Chandrupatla, “Optimization Concepts
2
and Applications in Engineering”, Third Edition, Pearson Education Delhi, 2019.
REFERENCES:
1 Deb K., “Optimization for Engineering Design Algorithms and Examples”,
Second Edition, PHI, 2012.
2 Arora J., “Introduction to Optimization Design’, Elsevier Academic Press”,
Third Edition, New Delhi, 2011.
3 Kapil Gupta & Munish Kumar Gupta, “Optimization of Manufacturing
Processes”, Springer Series in Advanced Manufacturing, 2019.
4 F.S. Hillier and G.J. Lieberman, “Introduction to Operations Research- Concepts
and Cases”, Ninth Edition, Tata Mc-Graw Hill, 2010.
Rao S. S., “Engineering Optimization, Theory and Practice”, Fourth Edition,
1
New Age International Publishers, 2012.

Mapping of Course Outcomes to Program Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 2 2 - - - - - - - - - - - 2
CO2 3 2 2 - - - - - - - - - - - 2
CO3 3 2 2 - - - - - - - - - - - 2
CO4 3 3 3 1 - - - - - - - - - - 2
CO5 3 2 3 1 - - - - - - - - - - 2
CO 3 2 3 1 - - - - - - - - - - 2
3-High, 2- Medium, 1-Low

Table of Specifications for End Semester Question Paper

Cognitive Level
Total
Total 2
Unit No. and 16 Analyse
Marks
Title Marks Remember Understand Apply (An)
Qns.
Qns. (Kn) (Un) (Ap) Evaluate
(Ev)

B.Tech Information Technology Page 171 of 252

 Unit-I:
1(2)-CO1,
Introduction 1 either
2 1(2)-CO1 1 either or - -
to or
(16)-CO1
Optimization
Unit-II:
1(2)-CO2, 1
Linear 1 either
2 1(2)-CO2 either or - -
Programming or
(16)-CO2
Methods
Unit-III:
1 either
Unconstrained 1 either
2 1(2)-CO3 1(2)-CO3 or (16)- -
Optimization or
CO3
Problems
1(2)-CO4, 1
Unit-IV:
either or
Constrained 1 either
2 1(2)-CO4 (16)-CO4 - -
Optimization or
Problems
Unit-v:
1 either
Optimization 1 either 1(2)-CO5
2 1(2)-CO5 or (16)- -
methods or
CO5
5(2)
5 either 2 either
Total Qns. 10 5(2) 3 either or -
or or (16)
(16)
Total Marks 20 80 10 58 32 -

Weightage 20% 80% 10% 58% 32% -

CS22622 L T P C
DEEP LEARNING
2 0 2 3
COURSEOBJECTIVES:
• To learn deep neural network foundation.
• To be familiar with preprocessing the data using Tensorflow/Keras Environment.
• To understand convolutional networks and its operations.
• To illustrate the Recurrent Neural Network..
• To get exposure on variants of autoencoders and Generative Adversarial Networks
UNIT I
INTRODUCTION 6
Introduction to Neural Network- Perceptron – Multi-layer feed forward Network- Activation
Function-Defining Deep Learning- Common Architectural Principles of Deep Networks.
Regression MLPs- Implementing MLPs with Keras – Building Image Classifier and
Regression MLP using the Sequential API-Fine-tuning Neural Network Hyperparameters.

UNIT II LOADING AND PREPROCESSING DATA 6

B.Tech Information Technology Page 172 of 252

 Using TensorFlow like NumPy – The tf.data API: Chaining Transformations – Shuffling the
data – Interleaving Lines from Multiple Files - Preprocessing the data. Keras Preprocessing
Layers.
COMPUTER VISION USING CONVOLUTIONAL NEURAL
UNIT III
NETWORKS 6
Convolutional Layers - Pooling Layers – CNN Architecture: GoogLeNet, ResNet, SENet –
Pretrained Models from Keras - Transfer Learning - Classification and Localization - Object
Detection – Object Tracking - Semantic Segmentation.
UNIT IV RECURRENT NEURAL NETWORKS 6
Recurrent Neurons and Layers – Training RNN – Natural Language Processing with RNN:
Generating Text using a Character RNN – Sentiment Analysis – An Encoder-Decoder
Network for Neural Machine Translation.
AUTOENCODERS AND GENERATIVE ADVERSARIAL
UNIT V
NETWORKS 6
Autoencoders: Stacked Autoencoders - Convolutional Autoencoders - Sparse Autoencoders
– Denoising Autoencoders. Generative Adversarial Networks: Deep Convolutional GANs-
Progressive Growing of GANs- StyleGANs.

30 PERIODS

PRACTICAL EXERCISES
Implement a perceptron in TensorFlow/Keras Environment.
1

2 Implement a Feed-Forward Network in TensorFlow/Keras.

3 Implement a regression model in Keras.
4 Implement an Image Classifier using CNN in TensorFlow/Keras.
5 Implement a Transfer Learning concept in Image Classification.
6 Implement Object Detection using CNN.
7 Perform Sentiment Analysis using RNN.
30 PERIODS
TOTAL: 60 PERIODS
COURSE OUTCOMES:
At the end of the course, the students will be able to:
CO1: Use Multilayer perceptron for applications with hyper-parameter tuning.
CO2: Use Tensorflow/Keras Environment to preprocess the data.
Apply convolutional networks for real world applications in Computer Vision
CO3:
domain.
CO4: Design Recurrent Neural Network for Natural Language processing.
Apply the Autoencoders and Generative Adversarial Network based deep learning
CO5:
techniques for recent applications.
TEXT BOOKS:

B.Tech Information Technology Page 173 of 252

 Aurélien Géron, “Hands-On Machine Learning with Scikit-Learn, Keras and
1.
TensorFlow”, O’Reilly, 2022.
Josh Patterson, Adam Gibson, “Deep Learning: A Practitioner’s Approach”, O’Reilly
2.
Media, 2021.
REFERENCES:
1. Santanu Pattanayak, “Pro Deep Learning with TensorFlow 2.0”, Apress, 2023.
2. Antonio Gulli, Amita Kapoor, Sujit Pal, “Deep Learning with Tensorflow 2 and Keras”,
Second Edition, Packt Publishing, 2019.
3. Umberto Michelucci, “Advanced Applied Deep Learning: Convolutional Neural
Networks and Object Detection”, Apress, 2019.
4. Francois Chollet, “Deep Learning with Python”, Second Edition, Manning
Publications, 2021.
5. Yoshua Bengio and Ian J.Goodfellow and Aaron Courville, "Deep Learning", MIT
Press, 2015.

Mapping of Course Outcomes to Program Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 3 3 - - - - - - - - - 3 - -
CO2 3 3 3 - - - - - - - - - 3 - -
CO3 3 3 3 - - - - - - - - - 3 - -
CO4 3 3 3 - - - - - - - - - 3 - -
CO5 3 3 3 - - - - - - - - - 3 - -
CO 3 3 3 - - - - - - - - - 3 - -
3-High, 2- Medium, 1-Low

Table of Specification for End Semester Question Paper

Total 2 Total 16 Cognitive Level
Unit No. and Title Marks Marks Remember Understand Apply Analyse(An)
Qns. Qns. (Kn) (Un) (Ap) Evaluate(Ev)
No.of Qns.(marks) and CO
Unit-I: 2 1eitheror 2(2)-CO1 1either or - -
Introduction (16)- CO1
Unit-II: 2 1eitheror 2(2)-CO2 1eitheror - -
Loading and (16)- CO2
Preprocessing Data
Unit-Ill: 2 1eitheror 1(2)- CO3 1(2)-CO3 1 either -
Computer Vision or(16)-
using Convolutional CO3

B.Tech Information Technology Page 174 of 252

 Neural Networks
Unit-IV: 2 1eitheror 1(2)-CO4 1(2)-CO4 1either or -.
Recurrent Neural (16)-CO4
Networks
Unit-V: 2 1eitheror 1(2)-CO5 1(2)-CO5 1eitheror -
Autoencoders and (16)- CO5
Generative
Adversarial
Networks
Total Qns. 5eitheror 7(2) 3(2) 3eitheror -
10 2eitheror (16)
(16)
Total Marks 20 80 14 38 48 -
Weightage 20% 80% 14% 38% 48% -
Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

L T P C
IT22721 COGNITIVE SCIENCE
2 0 2 3
COURSE OBJECTIVES:
• To know the theoretical background of cognition.
• To understand the link between cognition and computational intelligence.
• To explore probabilistic programming language.
• To study the computational inference models of cognition.
• To study the computational learning models of cognition and applications
UNIT I INTRODUCTION TO COGNITIVE SCENCE 6
The mind in cognitive science- Logic and science of the mind – Place of psychology within
cognitive science – Cognitive Neuroscience - Perception - Decision – Learning and memory
–Language understanding and processing – Mental- Physical relation – From materialism to
mental science.

UNIT II COGNITIVE INTELLIGENCE 6

Machines and Cognition – Artificial Intelligence – Architectures of Cognition – Knowledge
Based Systems – Logical Representation and Reasoning – Logical Decision Making -Learning
-Language – Vision.
PROBABILISTIC PROGRAMMING LANGUAGE
UNIT III 6
WebPPL Language – Syntax – Using Javascript Libraries – Manipulating probability types
and distributions – Finding Inference – Exploring random computation – Coroutines:
Functions that receive continuations -Enumeration.

UNIT IV INFERENCE MODELS OF COGNITION 6

B.Tech Information Technology Page 175 of 252

 Generative Models – Conditioning – Causal and statistical dependence – Conditional
dependence – Data Analysis – Algorithms for Inference.
UNIT V LEARNING MODELS OF COGNITION & COGNITIVE 6
APPLICATIONS
Learning as Conditional Inference – Learning with a Language of Thought – Hierarchical
Models-Learning (Deep) Continuous Functions – Mixture Models. Process of building a
Cognitive Application, Building a Cognitive Healthcare Application, Smarter Cities:
Cognitive Computing in Government, Emerging Cognitive Computing Areas, Future
Applications for Cognitive Computing.
TOTAL: 30 PERIODS
PRACTICAL EXERCISES
1 Demonstration of Mathematical functions using WebPPL.
2 Implementation of reasoning algorithms.
3 Developing an Application system using generative model.
4 Developing an Application using conditional inference learning model.
5
Application development using hierarchical model.
6 Application development using Mixture model.
TOTAL :30 PERIODS
COURSE OUTCOMES
At the end of the course, the student should be able to
CO1: Explain about cognitive computing and how it differs from traditional approaches.
CO2: Illustrate the theory behind cognitive intelligence.
CO3: Summarize the mathematical functions behind WebPPL
CO4: Outline the applications using cognitive inference model.
CO5: Develop real time applications using cognitive models (social relevant areas)
TEXTBOOK:
Jose Luis Bermúdez, “Cognitive Science -An Introduction to the Science of the
1
Mind”, Cambridge University Press, 2020.
Vijay V Raghavan, Venkat N. Gudivada, Venu Govindaraju and C.R .Rao,
2 “Cognitive Computing: Theory and Applications”, Elsevier publications, 2016.

REFERENCES:
Jose Luis Bermudez, “ Cognitive Science : An Introduction to the Science of the
1
Mind”, Cambridge University Press,2022.
Noah D. Goodman and Joshua B. Tenenbaum, “Probabilistic Models of Cognition”,
2
Second Edition, The Prob Mods Contributors, 2016.
Judith Hurwitz, Marcia Kaufman and Adrian Bowles, “Cognitive Computing and
3
Big Data Analytics”, Wiley Publications, 2015.
Robert A. Wilson, Frank C. Keil, “The MIT Encyclopaedia of the Cognitive
4
Sciences”, The MIT Press,2011.
Michael R. W. Dawson,” Foundations of Cognitive Science”, Athabasca University
5
Press, 2013.

Mapping of Course Outcomes to Program Outcomes

B.Tech Information Technology Page 176 of 252

 PO PSO
Course
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3

CO1 3 3 - 2 2 - - - - - 2 1 2 - -
CO2 3 3 - 2 2 - - - - - 2 1 2 - -
CO3 3 3 - 2 2 - - - - - 2 1 2 - -
CO4 3 3 - 2 2 - - - - - 2 1 2 - -
CO5 3 3 - 2 2 - - - - - 2 1 2 - -
CO 3 3 - 2 2 - - - - - 2 1 2 - -
3-High, 2- Medium, 1-Low

Table of Specifications for End Semester Question Paper

Cognitive Level
Total Total
2 16 Analys
Unit No. and Title
Mark Marks Remembe Understa e (An)
Apply (Ap)
s Qns. Qns. r (Kn) nd (Un) Evalua
te (Ev)
Unit-I: 1 either or
1 either 1(2)-
Introduction to 2 (16)- -
or CO2
Cognitive Science CO1

Unit-II: 1 either or
1 either 2(2)-
Cognitive 2 (16)- -
or CO2
Intelligence CO2
Unit-III:
Probabilistic 1 either 2(2)- 1 either or
2 - -
Programming or CO3 (16)-CO3
Language
Unit IV:
1 either 1 either or
Inference Models of 2 2(2)-CO4 -.
or (16)-C04
Cognition
Unit-V:
Learning Models
1 either 2(2)- 1 either or
of Cognition & 2 1(2)-CO5 -
or CO5 (16)-CO5
Cognitive
Applications
1(2)
5 either 4 either 1 either or
Total Qns. -
10 or 9(2) or (16)
(16)
Total Marks 20 80 18 66 16 -
Weightage 20% 80% 14% 38% 48% -
Weightage for Cos

B.Tech Information Technology Page 177 of 252

 CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

L T P C
IT22722 GENERATIVE AI
2 0 2 3
COURSE OBJECTIVES
• To know the basics of Generative AI, OpenAI and ChatGPT .
• To understand how to setting ChatGPT accounts and prompt design principles.
• To understand the applications of ChatGPT in day-to-day productivity.
• To learn the marketing and research reinvented with ChatGPT.
• To identify the compliance requirements for using Azure OpenAI and use cases
for enterprises.
INTRODUCTION TO GENERATIVE AI, OpenAI
UNIT I 6
AND ChatGPT
Introduction to Generative AI: Introducing generative AI - The history and current status of
research - OpenAI and ChatGPT: What is OpenAI? - An overview of OpenAI model
families - Road to ChatGPT - ChatGPT: the state of the art.
UNIT II ChatGPT IN ACTION 6
Getting Familiar with ChatGPT : Setting up a ChatGPT account - Familiarizing yourself
with the UI - Organizing chats - Understanding Prompt Design: What is a prompt and why
is it important? - Zero-, one-, and few-shot learning – typical of transformers models -
Principles of well-defined prompts to obtain relevant and consistent results.
BOOSTING DAY-TO-DAY PRODUCTIVITY
UNIT III 5
WITH ChatGPT
Boosting Day-to-Day Productivity with ChatGPT: ChatGPT as a daily assistant -
Generating text - Improving writing skills and translation - Quick information retrieval and
competitive intelligence.
MASTERING MARKETING AND RESEARCH
UNIT IV 7
REINVENTED WITH ChatGPT
Mastering Marketing with ChatGPT: Marketers’ need for ChatGPT - New product
development and the go-to-market strategy - A/B testing for marketing comparison -
Making more efficient websites and posts with Search Engine Optimization (SEO) -
Research Reinvented with ChatGPT: Researchers’ need for ChatGPT - Brainstorming
literature for your study - Providing support for the design and framework of your
experiment - Generating and formatting a bibliography - Generating a presentation of the
study.
UNIT V OpenAI FOR ENTERPRISES 6
OpenAI and ChatGPT for Enterprises: OpenAI and Microsoft for enterprise-level AI –
introducing Azure OpenAI - Understanding responsible AI - Trending Use Cases for
Enterprises: How Azure OpenAI is being used in enterprises - Contract analyzer and
generator - Understanding call center analytics - Exploring semantic search.
TOTAL PERIODS: 30

B.Tech Information Technology Page 178 of 252

 LIST OF EXPERIMENTS:
1 Create a ChatGPT account and familiarize yourself with the interface.
2 Write a poem, a news article, and a code snippet using ChatGPT prompts. Discuss
the quality and accuracy of each output.
3 Experiment with different prompt styles and lengths, observing how they affect
the generated text.
4 Translate a short text from English to another language using ChatGPT.
5 Develop a marketing campaign for a new product using ChatGPT for
brainstorming ideas, creating ad copy, and testing different slogans.
6 Research a specific academic topic using ChatGPT to identify relevant literature,
summarize key findings, and format a bibliography.
7 Generate a presentation outline and slides for your research project using ChatGPT
prompts.
TOTAL PERIODS: 30
COURSE OUTCOMES
Upon completion of the course, students will be able to
CO1: Explain the concept of Generative AI, OpenAI and ChatGPT
CO2: Identify the setting up of ChatGPT and prompt design principles.
CO3: Demonstrate the applications of ChatGPT in boosting day-to-day productivity.
CO4: Apply ChatGPT to real-world marketing and research scenarios.
Summarize Microsoft Azure for enterprise-level AI and use cases for
CO5:
enterprises.
TEXT BOOKS
Valentina Alto, “Modern Generative AI with ChatGPT and OpenAI Models”, Packt
1.
Publishing, 2023.
Tom Taulli, “Generative AI: How ChatGPT and Other AI Tools Will Revolutionize
2.
Business” APress, 2023.
REFERENCE BOOKS
Numa Dhamani and Maggie Engler, “Introduction to Generative AI: An ethical,
1.
societal, and legal overview”, Manning Publication, 2024.
Ben Auffarth, “Generative AI with LangChain: Build large language model (LLM)
2.
apps with Python, ChatGPT, and other LLMs”, Packt Publishing, 2023.
Akshay Kulkar , Adarsha Shivananda, Anoosh Kulkarni, Dilip Gudivada, “Applied
3. Generative AI for Beginners: Practical Knowledge on Diffusion Models, ChatGPT,
and Other LLMs”, APress, 2023.
Ajit Dash, “Chatgpt Generative AI - The Step-By-Step Guide for OpenAI & Azure
4.
OpenAI”, EPublishing, 2023.
David M. Patel , “Artificial Intelligence & Generative AI for Beginners: The Complete
5.
Guide”, 2023.

Mapping of Course Outcomes to Program Outcomes

B.Tech Information Technology Page 179 of 252

 Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 3 3 2 3 - - - - - - 1 - 3 -
CO2 3 3 3 2 3 - - - - - - 1 - 3 -
CO3 3 3 3 2 3 - - - - - - 1 - 3 -
CO4 3 3 3 2 3 - - - - - - 1 - 3 -
CO5 3 3 3 2 3 - - - - - - 1 - 3 -
CO 3 3 3 2 3 - - - - - - 1 - 3 -
3-High, 2- Medium, 1-Low

Table of Specifications for End Semester Question Paper

Total Cognitive Level

Total 2
16 Analyse
Unit No. and Title Marks Remembe Understand Apply
Marks (An)
Qns. r (Kn) (Un) (Ap) Evaluate
Qns.
(Ev)
Unit-I:
Introduction to 1 either 2(2)-
2 1 either or - -
Generative AI, (16)-CO1
or CO1
OpenAI and
ChatGPT
1 either or
Unit-II: 1 either 1(2)-
2 1(2)- CO2 (16)- -
ChatGPT in Action or CO2
CO2
Unit-III:
Boosting Day-To- 1 either 2(2)- 1 either or
2 - -
Day Productivity or CO3 (16)-CO3
with ChatGPT
Unit-IV:
Mastering
Marketing and 1 either 1(2)- 1 either or
2 1(2)- CO4 (16)- - .
Research or CO4 CO4
Reinvented with
ChatGPT
Unit-V: 1 either 2(2)- 1 either or
OpenAI for 2 - -
or CO5 (16)-CO5
Enterprises
2(2)
5 either 3 either 2 either
Total Qns. or or -
10 or 8(2)
(16) (16)

Total Marks 20 80 16 52 32 -

B.Tech Information Technology Page 180 of 252

 Weightage 20% 80% 16% 52% 32% -

Weightage for Cos

CO1 CO2 CO3 CO4 CO5

Total Marks 20 20 20 20 20

Weightage 20% 20% 20% 20% 20%

VERTICAL III: DATA SCIENCE

L T P C
IT22531 DATA ANALYTICS
2 0 2 3
COURSE OBJECTIVES
• To understand the basics of big data analytics
• To understand the big data frameworks
• To learn data analysis methods for big data
• To learn stream computing for big data processing
• To gain knowledge on advanced database frameworks for big data analytics
UNIT I INTRODUCTION TO BIG DATA 6
Big Data - Definition, Characteristic Features - Big Data Applications - Big Data vs
Traditional Data - Risks of Big Data - Structure of Big Data - Challenges of Conventional
Systems.
UNIT II HADOOP FRAMEWORK 6
Distributed File Systems - Large-Scale File System Organization - HDFS concepts -
MapReduce Execution, Algorithms using MapReduce, Hadoop.
UNIT III DATA ANALYSIS 6
Classification: Naïve Bayes classification, Regression modeling: linear regression, logistic
regression - Rule Mining - Cluster Analysis: k-means clustering.
UNIT IV MINING DATA STREAMS 6
Streams: Concepts - Stream Data Model and Architecture - Sampling data in a stream -
Mining Data Streams and Mining Time-series data.
UNIT V BIG DATA FRAMEWORKS 6
Introduction to NoSQL - Aggregate Data Models - Hbase: Data Model and Implementations
- Hbase Clients - Examples - Cassandra: Data Model - Examples - Cassandra Clients –
HiveQL.
TOTAL PERIODS: 30
PRACTICAL EXERCISES
1 Implement linear regression.

B.Tech Information Technology Page 181 of 252

 2 Implement multiple linear regression
3 Implement logistic regression
4 Implement Apriori algorithm
5 Implement k-means clustering algorithm.
6 Implement analysis over stream data.
TOTAL PERIODS: 30
COURSE OUTCOMES
Upon completion of the course, students will be able to
CO1: Describe the basics of big data analytics.
CO2: Describe the frameworks for big data processing.
CO3: Analyze the performance of data analysis methods over big data.
CO4: Apply processing methods over stream data.
CO5: Explain databases and frameworks for big data.
TEXT BOOKS
Seema Acharya and Subhashini Chellappan, “Big Data and Analytics”, Wiley
1.
Publications, 2015.
David Loshin, “Big Data Analytics: From Strategic Planning to Enterprise
2.
Integration with Tools, Techniques, NoSQL and Graph”, Elsevier Publishers, 2013.
REFERENCE BOOKS
Judith Huruwitz, Alan Nugent, Fern Halper and Marcia Kaufman, “Big data for
1.
dummies”, John Wiley & Sons, Inc., 2013.
Tom White, “Hadoop The Definitive Guide”, Fourth Edition, O’Reilly Publications,
2.
2015.
Dirk Deroos, Paul C.Zikopoulos, Roman B.Melnky, Bruce Brown and Rafael Coss,
3.
“Hadoop For Dummies”, Wiley Publications, 2014.
4. Robert D.Schneider, “Hadoop For Dummies”, John Wiley & Sons Inc,2012.
Paul Zikopoulos, “Understanding Big Data: Analytics for Enterprise Class Hadoop
5.
and Streaming Data, Tata McGraw Hill, 2012.

Mapping of Course Outcomes to Program Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 3 2 - - - - - - - - - - - 3
CO2 3 3 2 - - - - - - - - - - - 3
CO3 3 3 2 - - - - - - - - - - - 3
CO4 3 3 3 2 - - - - - - - - - - 3
CO5 3 3 3 2 - - - - - - - - - - 3
CO 3 2 3 2 - - - - - - - - - - 3
3-High, 2- Medium, 1-Low

B.Tech Information Technology Page 182 of 252

 Table of Specifications for End Semester Question Paper

Cognitive Level
Total 2 Total 16
Unit No. and Analyse
Marks Marks
Title Remember Understand Apply (An)
Qns. Qns.
(Kn) (Un) (Ap) Evaluate
(Ev)
Unit-I: 1(2)-CO1,
1 either
Introduction 2 1(2)-CO1 1 either or - -
or
to Big Data (16)-CO1

Unit-II: 1(2)-CO2,
1 either
Hadoop 2 1(2)-CO2 1 either or - -
or
Framework (16)-CO2
Unit-III: 1(2)-CO3,
1 either
Data 2 1(2)-CO3 - - 1 either or
or
Analysis (16)-CO3
1(2)-
Unit-IV:
CO4,
Mining Data
1 either - 1 either
Streams 2 1(2)-CO4 -
or or (16)-
CO4

Unit-V: 1(2)-CO5,
Big Data 1 either 1 either or
2 1(2)-CO5 - -
Frameworks or (16)-CO5

5(2)
5 either
Total Qns. 10 5(2) 5 either or - -
or
(16)
Total Marks 20 80 10 90 - -

Weightage 20% 80% 10% 90% - -

Weightage for Cos

CO1 CO2 CO3 CO4 CO5

Total Marks 20 20 20 20 20

Weightage 20% 20% 20% 20% 20%

B.Tech Information Technology Page 183 of 252

 CS22512 L T P C
NOSQL DATABASES
2 0 2 3
COURSEOBJECTIVES:
• To learn the fundamental of NoSQL databases.
• To gain knowledge on clustering techniques in NoSQL databases.
• To learn the basic concepts involved in document databases.
• To understand the fundamental concepts of MongoDB.
• To learn different data models in MongoDB.
UNIT I NoSQL DATABASES 6
NoSQL Databases - Evolution of NoSQL Databases-Different types of NoSQL databases-
Advantages of NoSQL databases, Scalability and performance. Document data stores, Key-
Value data stores. Case studies of MongoDB, HBase, Neo4J. NoSQL database design for
applications.
UNIT II CLUSTERING IN NoSQL 6
Clustering in NoSQL databases. Data distribution methods. Configurations for replication
and fault-tolerance. NoSQL configurations for disaster tolerance. NoSQL query languages,
CQL, Pig Latin.
UNIT III DOCUMENT DATABASES 6
Document Databases: Features, Consistency, Transactions, Availability, Query Features,
Scaling, Suitable Use Cases, Event Logging, Content Management Systems, Blogging
Platforms, Complex Transactions, Queries against Varying Aggregate Structure.
UNIT IV MONGODB 6
Introducing MongoDB: MongoDB Design Philosophy, Speed, Scalability, and Agility, Non-
Relational Approach, JSON-Based Document Store, Performance vs. Features, Running the
Database Anywhere, SQL Comparison, The MongoDB Data Model: JSON and BSON.
UNIT V MONGODB SHELL 6
Basic Querying, Create and Insert, Explicitly Creating Collections, Inserting Documents
Using Loop, Inserting by Explicitly Specifying _id, Update, Delete, Read, Using Indexes,
Stepping Beyond the Basics, Using Conditional Operators, Regular Expressions,
MapReduce, aggregate(), Designing an Application’s Data Model.
PERIODS:30
PRACTICAL EXERCISES
Create a database and perform the manipulations and querying ( Insert, Update,
1
Delete, Projection, Query- Where Clause, AND, OR operations)
2 Execute Aggregation Pipeline and its operations.
3 Execute Limit Records and Sort Records operation in MongoDB.
4 Implementation of Aggregation and Map Reduce functions in MongoDB.

5 Implementations of Indexing, Advanced Indexing using MongoDB.

6 Implementations of Hashing using MongoDB.

B.Tech Information Technology Page 184 of 252

 Establish a connection with a database or access any tabular data source using
Java Driver/Python Driver/PHP Driver to do the following operations.
7
a) Send various MongoDB statements.
b) Retrieve and process the results received from the database
PERIODS:30
TOTAL: 60 PERIODS
COURSE OUTCOMES:
At the end of the course, the students will be able to:
CO1: Outline the evolution and application of NoSQL databases.
Summarize the clustering techniques and different aggregate structures in NoSQL
CO2:
databases.
CO3: Identify strategies to perform queries in MongoDB.
Apply the concepts of Indexing, Advanced Indexing and Hashing techniques
CO4:
using MongoDB.
CO5: Apply aggregation and Map Reduction in MongoDB.
TEXT BOOKS:
1. Guy Harrison, “Next Generation Databases — NoSQL and Big data”, 2018.
Kristina Chodorow, “MongoDB: The Definitive Guide-Powerful and Scalable Data
2.
Storage”, Third Edition, O’Reilly Media Inc,2020.
REFERENCES:
1. Peter Membrey and Eelco Plugge, “The Definitive Guide to MongoDB: The NoSQL
Database for Cloud and Desktop Computing”, 2013.
2. Sadalage P. & Fowler, “NoSQL Distilled: A Brief Guide to the Emerging World of
Polyglot Persistence”, Wiley Publications, 2019.
3. Christopher D.Manning, Prabhakar Raghavan and Hinrich Schutze, “An introduction
to Information Retrieval”, Cambridge University Press, 2017.
4. Daniel Abadi, Peter Boncz and Stavros Harizopoulas, “The Design and Implementation
of Modern Column-Oriented Database Systems”, Now Publishers, 2013.
5. Francesco Marchioni ,”MongoDB for Java Developers”, Packt Publishing, 2015.

Mapping of Course Outcomes to Program Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 2 2 - - - - - - - - 2 3 - -
CO2 3 2 2 - - - - - - - - 2 3 - -
CO3 3 2 3 - - - - - - - - 2 3 - -
CO4 3 2 3 - - - - - - - - 2 3 - -
CO5 3 2 3 - - - - - - - - 2 3 - -
CO 3 2 3 - - - - - - - - 2 3 - -
3-High, 2- Medium, 1-Low

B.Tech Information Technology Page 185 of 252

 Table of Specification for End Semester Question Paper
Cognitive Level
Total 2 Total 16
Marks Marks Remember Understand Apply Analyse(An)
Unit No.andTitle (Re) (Un) (Ap) Evaluate(Ev)
Qns. Qns.
No.ofQns.(marks)andCO
1(2)-CO1
Unit-I: 1(2)-CO1
2 1either or 1either or - -
NoSQL Databases
(16)- CO1
Unit-II: 1(2)-CO2
Clustering In 2 1either or 1(2)-CO2 1either or - -
NoSQL (16)- CO2
Unit-III: 1(2)- CO2
Document 2 1either or 1(2)- CO2 1either or - -
Databases (16)-CO2
Unit-IV: 1either or
2 1either or 1(2)- CO3 1(2)- CO3 -
MongoDB (16)-CO3
Unit-V: 1either or
2 1either or 1(2)- CO3 1(2)- CO3 -
MongoDB Shell (16)-CO3
2(16)
5(2)
2 either
Total Qns. 10 5 either or 5(2) 3 either or -
or
(16)
(16)
Total Marks 20 80 10 58 32 -
Weightage 20% 80% 10% 58% 32% -
Weightage for Cos CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

DATA VISUALIZATION TECHNIQUES L T P C

IT22631
2 0 2 3
COURSE OBJECTIVES:
• Recognize the importance of data visualization in effectively communicating
insights, aiding decision-making, and engaging stakeholders.
• Explore the historical development of data visualization techniques,
understanding key milestones and contributions that have shaped the field
• Explore techniques for visualizing hierarchical and network data structures,
including tree maps, network diagrams, and sunburst charts, to reveal hierarchical
relationships, network structures, and clusters within complex datasets.
• Learn to design and implement interactive data visualizations using tools and
libraries

B.Tech Information Technology Page 186 of 252

 • Apply advanced visualization techniques learned throughout the course to real-
world case studies and projects
UNIT I INTRODUCTION TO DATA VISUALIZATION 6
Importance of data visualization-Historical overview-Types of visualizations
-Principles of effective visualization
UNIT II VISUALIZATION TOOLS AND SOFTWARE 6
Introduction to popular visualization tools (e.g., Tableau, Power BI)-Basic functionalities
and features-Hands-on exercises with visualization software-Introduction to programming
libraries (e.g., Matplotlib, ggplot2)
UNIT III DATA VISUALIZATION PRINCIPLES 6
Gestalt principles-Color theory and usage-Perception and cognition in visualization-
Design best practices for effective communication
UNIT IV EXPLORATORY DATA ANALYSIS 6
nivariate, bivariate, and multivariate visualization-Distribution plot-Scatter plots-pair
plots- correlation matrices- Hands-on exploratory data analysis exercises
UNIT V ADVANCED VISUALIZATION TECHNIQUES 6
Time series and temporal data visualization-Geospatial data visualization-Hierarchical and
network visualization-Interactive data visualization-Case studies and real-world
applications
TOTAL: 30 PERIODS
LIST OF EXPERIMENTS
1. Write a Python script using Matplotlib or ggplot2 to visualize a dataset that
demonstrates the importance of data visualization in uncovering trends or
patterns that would be difficult to discern from raw data alone
2. Create an interactive timeline visualization using D3.js or Plotly to showcase
key milestones in the history of data visualization, along with descriptions
and images for each milestone.
3. Write a Python script using Matplotlib or ggplot2 to create visualizations that
explore the use of color in conveying information. Experiment with different
color palettes, color scales, and color combinations to illustrate the impact of
color choices on visualization effectiveness
4. Implement a series of visualizations using Matplotlib or ggplot2 to explore
different types of plots (e.g., histograms, scatter plots, box plots) based on a
given dataset. Add annotations, labels, and customized styles to enhance the
visualizations.
5. Creating 3D plots.
TOTAL: 30 PERIODS
COURSE OUTCOMES:
At the end of the course, the students will be able to:
Summarize the importance, history, types, and principles of effective data
CO1:
visualization.
Explain popular tools (Tableau, Power BI), their functionalities, and use
CO2:
programming libraries for advanced visualizations.
CO3: Outline the gestalt principles, color theory, and design best practices for

B.Tech Information Technology Page 187 of 252

 effective data communication.
Implement univariate, bivariate, and multivariate visualizations, including
CO4:
distribution plots, scatter plots, and correlation matrices.
Apply advanced techniques like time series, geospatial, hierarchical, and
CO5:
interactive visualizations with real-world case studies.
TEXT BOOKS:
Jake VanderPlas, “Python Data Science Handbook: Essential Tools for
1
Working with Data”, O’Reilly Media, 2016.
2 Tamara Munzner, “Visualization Analysis and Design”, CRC Press, 2014.
REFERENCES:
Kirthi Raman, “Mastering Python Data Visualization”, Packt Publishing,
1
2015.
Chad Adams, “Learning Python Data Visualisation”, Packt Publishing,
2
2014.
Scott Murray, “Interactive Data Visualization for the Web”, O'Reilly Media,
3
2013.
Julie Steele and Noah Iliinsky, “Beautiful Visualization”, O Reilly,2022.
4
Dona M. Wong, “The Wall Street Journal Guide to Information
5
Graphics”, W.W. Norton & Company,2021.

Mapping of Course Outcomes to Program Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 2 2 - - - - - - - - - - - 2
CO2 3 2 2 - - - - - - - - - - - 2
CO3 3 2 2 - - - - - - - - - - - 2
CO4 3 3 3 1 - - - - - - - - - - 2
CO5 3 2 3 1 - - - - - - - - - - 2
CO 3 2 3 1 - - - - - - - - - - 2

Table of Specifications for End Semester Question Paper

Cognitive Level
Total 2 Total 16
Unit No. and Analyse
Marks Marks
Title Remember Understand Apply (An)
Qns. Qns.
(Kn) (Un) (Ap) Evaluate
(Ev)
Unit-I:
1(2)-CO1,
Introduction 1 either
2 1(2)-CO1 1 either or - -
to Data or
(16)-CO1
Visualization

B.Tech Information Technology Page 188 of 252

 Unit-II:
1(2)-CO2, 1
Visualization 1 either
2 1(2)-CO2 either or (16)- - -
Tools and or
CO2
Software
Unit-III:
1(2)-CO3, 1
Data 1 either
2 1(2)-CO3 either or (16)- - -
Visualization or
CO3
Principles
Unit-IV:
1(2)-CO4 1 either
Exploratory 1 either
2 1(2)-CO4 or (16)- -
Data or
CO4
Analysis
Unit-V:
1 either
Advanced 1 either 1(2)-CO5
2 1(2)-CO5 or (16)- -
Visualization or
CO5
Techniques
5(2)
5 either 4 either
Total Qns. 10 5(2) 1 either or -
or or (16)
(16)
Total Marks 20 80 10 58 32 -

Weightage 20% 80% 10% 58% 32% -

Weightage for Cos

CO1 CO2 CO3 CO4 CO5

Total Marks 20 20 20 20 20

Weightage 20% 20% 20% 20% 20%

L T P C
IT22632 TEXT AND SPEECH ANALYSIS
2 0 2 3
COURSE OBJECTIVES:
• To use regular expressions for pattern matching and calculating the minimum edit
distance.
• To understand vector semantics and sequence labelling technique.
• To implement chatbots and dialogue systems to develop conversational AI
applications.
• To understand automatic speech recognition (ASR) tasks and various techniques.
• To understand information extraction tasks, and techniques.

UNIT I TEXT AND SPEECH ANALYSIS 6

B.Tech Information Technology Page 189 of 252

 Regular Expressions - Word Normalization, Lemmatization and Stemming - Sentence
Segmentation - Minimum Edit Distance.
UNIT II VECTOR SEMANTICS AND SEQUENCE LABELING 6
Lexical Semantics - Vector Semantics - Words and Vectors - (Mostly) English Word
Classes - Part-of-Speech Tagging - Named Entities and Named Entity Tagging.
UNIT III BUILDING INTELLIGENT CHATBOTS 6
Designing conversational systems - Creating chatbot personalities - Handling user input
and providing context-aware responses.
UNIT IV AUTOMATIC SPEECH RECOGNITION AND TEXT-TO- 6
SPEECH
The Automatic Speech Recognition Task - Feature Extraction for ASR: Log Mel Spectrum
- Speech Recognition Architecture – CTC.
UNIT V INFORMATION EXTRACTION 6
Relation Extraction - Relation Extraction Algorithms - Extracting Events - Representing
Time - Representing Aspect.
TOTAL: 30 PERIODS
LIST OF EXPERIMENTS
1 Create Regular expressions in Python for detecting word patterns and tokenizing
text.
2 Getting started with Python and NLTK - Searching Text, Counting Vocabulary,
Frequency Distribution, Collocations, Bigrams.
3 Write a function that finds the 50 most frequently occurring words of a text that
are not stop words.
4 Implement the Word2Vec model.
5 Design a chatbot with a simple dialog system.
6 Convert text to speech and find accuracy.
7 Design a speech recognition system and find the error rate.
TOTAL: 30 PERIODS
COURSE OUTCOMES:
At the end of the course, the students will be able to:
Use regular expressions for pattern matching and calculating the minimum edit
CO1:
distance.
CO2: Explain vector semantics and sequence labelling technique.
Implement chatbots and dialogue systems to develop conversational AI
CO3:
applications.
CO4: Explain automatic speech recognition (ASR) tasks and various techniques.
CO5: Explain information extraction tasks, and techniques.
TEXT BOOKS:
Daniel Jurafsky and James H. Martin, “Speech and Language Processing : An
1 Introduction to Natural Language Processing, Computational Linguistics, and
Speech Recognition” , Third Edition, Pearson Education,2024.
Emil Hvitfeldt and Julia Silge, “Supervised machine learning for text analysis
2
in R”, Taylor & Francis group,2021.
REFERENCES:
1 Dipanjan Sarkar, “Text Analytics with Python: A Practical Real-World
approach to Gaining Actionable insights from your data”, APress,2018.

B.Tech Information Technology Page 190 of 252

 2 Sunil Patel, “Getting started with Deep Learning for Natural Language
Processing” , BPB Publications, 2021.
3 Daniel M. Bikel and Imed Zitouni, “Multilingual Natural Language Processing
Applications: From Theory to Practice”, Pearson Education India, 2012.
4 Sachin Srinivastava, “Natural Language Processing with Python”, Notion
Press, 2021.
5 Aadam Quraishi, Pinki Nayak, Ismail Keshta &T.Saju Raj, “Machine Learning
For Natural Language Processing: Text And Speech Analysis”, Xoffencer,
2024.

Mapping of Course Outcomes to Program Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 2 3 2 - 3 - - - - - - 3 - 3 -
CO2 2 2 2 - 3 - - - - - - 3 - 3 -
CO3 2 3 3 - 3 - - - - - - 3 - 3 -
CO4 2 2 2 - 3 - - - - - - 3 - 3 -
CO5 2 2 1 - 3 - - - - - - 3 - 3 -
CO 2 2 2 - 3 - - - - - - 3 - 3 -
3-High, 2- Medium, 1-Low

Table of Specifications for End Semester Question Paper

Cognitive Level
Analyse
Total 2 Total 13 (An)
Unit No. and Title Marks Marks Remember Understand Apply
Evaluat
Qns. Qns. (Re) (Un) (Ap)
e
(Ev)
No. of Qns. (marks) and CO
Unit I - Text and 1 either 1 either or
2 1(2)-CO1 1 (2)- CO1 -
Speech Analysis or (16)- CO1
Unit II - Vector
1 either 1 either or
Semantics and 2 1(2)-CO2 1 (2)- CO2 -
or (16)- CO2
Sequence Labeling
Unit III - Building 1 either 1 either or
2 1(2)- CO3 1 (2)- CO3 -
Intelligent Chatbots or (16)- CO3
Unit IV - Automatic
1 either 1 either or
Speech Recognition 2 1(2)-CO4 1 (2)- CO4 -
or (16)- CO4
and Text-To-Speech
Unit V -
1 either 1 either or
Information 2 1(2)-CO5 1 (2)- CO5 -
or (16)- CO5
Extraction

B.Tech Information Technology Page 191 of 252

 5 either
5 either
Total Qns. 5(2) 5(2) or -
10 or
(16)
Total Marks 20 80 10 10 80 -

Weightage 20% 80% 10% 10% 80% -

Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

L T P C
IT22731 BUSINESS INTELLIGENCE
2 0 2 3
COURSE OBJECTIVES
• To know the basics and models in business intelligence.
• To understand the data provisioning concepts.
• To describe and visualize data in business process.
• To understand the business process analysis, compliance and mining.
• To identify the multiple business perspectives of business processes.
INTRODUCTION AND MODELING IN BUSINESS
UNIT I 6
INTELLIGENCE
Introduction: Definition of Business Intelligence - Putting Business Intelligence into Context
- Business Intelligence: Tasks and Analysis Formats - Use Cases - Modeling in Business
Intelligence: Models and Modeling in Business Intelligence - Models and Data.
UNIT II DATA PROVISIONING 6
Data Provisioning: Introduction and Goals - Data Collection and Description - Data
Extraction - From Transactional Data Towards Analytical - Schema and Data Integration.
UNIT III DATA DESCRIPTION AND VISUALIZATION 6
Data Description and Visualization: Introduction - Description and Visualization of Business
Processes - Description and Visualization of Data in the Customer Perspective -
Basic Visualization Techniques – Reporting.
UNIT IV PROCESS ANALYSIS 6
Process Analysis: Introduction and Terminology - Business Process Analysis and Simulation
- Process Performance Management and Warehousing - Process Mining - Business Process
Compliance - Evaluation and Assessment.
UNIT V BUSINESS PERSPECTIVES 6
Analysis of Multiple Business Perspectives: Introduction and Terminology - Social Network
Analysis and Organizational Mining - Decision Point Analysis - Text Mining.
TOTAL PERIODS: 30
LIST OF EXPERIMENTS
Import the legacy data from different sources such as (Excel, SqlServer, Oracle
1.
etc.) and load in the target system.

B.Tech Information Technology Page 192 of 252

 2. Data Modelling and Analytics with Pivot Table in Excel.
Perform the Extraction Transformation and Loading (ETL) process to construct the
3.
database in the Sqlserver / Power BI.
4. Data Visualization from ETL Process.
Apply the what – if Analysis for data visualization. Design and generate necessary
5.
reports based on the data warehouse data.
6. Data Analysis and Visualization using Advanced Excel.

TOTAL: 30 PERIODS

COURSE OUTCOMES
Upon completion of the course, students will be able to
CO1: Explain the basic concepts and models in business intelligence.
Summarize the data provisioning process, from data collection and extraction
CO2:
to transformation and integration.
Apply the description and visualization of business processes and data using
CO3:
basic visualization techniques.
CO4: Illustrate the process analysis techniques and methodologies.
CO5: Identify the business processes from multiple perspectives.
TEXT BOOKS
Wilfried Grossmann and Stefanie Rinderle-Ma, “Fundamental of Business
1.
Intelligence”, Springer, 2015.
Ramesh Sharda, Dursun Delen and Efraim Turban, "Business Intelligence,
2. Analytics, and Data Science: A Managerial Perspective", Fourth Edition,
Pearson Education, 2017.
REFERENCE BOOKS
Prasad R.N. and Seema Acharya, "Fundamentals of Business Analytics",
1.
Second Edition, Wiley, 2016.
David Loshin, "Business Intelligence: The Savvy Manager’s Guide", Second
2.
Edition, Morgan Kaufmann, USA, 2012.
Bernard Marr,”Data Straergy”, Second Edition, Kogan Page Publishers,2017.
3.
Vercellis C, “Business Intelligence: Data Mining and Optimization for
4 Decision Making”, Wiley,2010.
Tobias Zwingmann, “AI-Powered Business Intelligence: Improving Forecasts
5 and Decision Making with Machine Learning”, Grayscale Indian Edition,
2022.

Mapping of Course Outcomes to Program Outcomes

PO PSO

B.Tech Information Technology Page 193 of 252

 Course 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
outcomes
CO1 3 3 3 2 3 - - - - - - 1 - 3 -
CO2 3 3 3 2 3 - - - - - - 1 - 3 -
CO3 3 3 3 2 3 - - - - - - 1 - 3 -
CO4 3 3 3 2 3 - - - - - - 1 - 3 -
CO5 3 3 3 2 3 - - - - - - 1 - 3 -
CO 3 3 3 2 3 - - - - - - 1 - 3 -
3-High, 2- Medium, 1-Low

Table of Specifications for End Semester Question Paper

Cognitive Level
Total
Total 2
16 Analyse
Unit No. and Title Marks
Marks Remembe Understand Apply (An)
Qns.
Qns. r (Kn) (Un) (Ap) Evaluate
(Ev)
Unit-I:
Introduction and
1 either 2(2)- 1 either or
Modelling in 2 - -
or CO1 (16)-CO1
Business
Intelligence
Unit-II: 1 either 2(2)- 1 either or
2 - -
Data Provisioning or CO2 (16)-CO2
Unit-III: 1 either
1 either 1(2)-
Data Description 2 1(2)- CO3 or (16)- -
or CO3
and Visualization CO3
Unit-IV: 1 either 2(2)- 1 either or
2 - - .
Process Analysis or CO4 (16)-CO4
Unit-V: 1 either or
1 either 1(2)-
Business 2 1(2)- CO5 (16)- -
or CO5
Perspectives CO5
2(2)
2 either
5 either 3 either
Total Qns. or -
10 or 8(2) or
(16)
(16)
Total Marks 20 80 16 52 32 -
Weightage 20% 80% 16% 52% 32% -
Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

B.Tech Information Technology Page 194 of 252

 L T P C
IT22732 SOCIAL MEDIA ANALYTICS
2 0 2 3
COURSE OBJECTIVES:
• To learn the concepts and techniques of social media analytics.
• To identify key concepts in social media metrics.
• To learn social media analytics tools.
• To learn sentiment analysis and text mining using predictive tools in social media.
• To understand how social media analytics can be applied in business and marketing
strategies.
UNIT I SOCIAL MEDIA ANALYTICS: AN OVERVIEW 6
Core Characteristics of Social Media, Types of Social Media, Social media landscape, Need
for Social Media Analytics (SMA), SMA in small & large organizations. Purpose of Social
Media Analytics, Social Media vs. Traditional Business Analytics, Seven Layers of Social
Media Analytics, Types of Social Media Analytics, Social Media Analytics Cycle,
Challenges to Social Media Analytics, Social Media Analytics Tools.

SOCIAL NETWORK STRUCTURE, MEASURES &

UNIT II 6
VISUALIZATION
Basics of Social Network Structure - Nodes, Edges & Tie Describing the Networks
Measures - Degree Distribution, Density, Connectivity, Centralization, Tie Strength &
Trust Network Visualization - Graph Layout, Visualizing Network features, Scale Issues.
Social Media Network Analytics: Common Network Terms, Common Social Media
Network Types, Types of Networks, Common Network Terminologies, Network Analytics
Tools.

UNIT III SOCIAL MEDIA TEXT, ACTION & HYPERLINK ANALYTICS 8

Social Media Text Analytics - Types of Social Media Text, Purpose of Text Analytics, Steps
in Text Analytics, Social Media Text Analysis Tools. Social Media Action Analytics - What
is Actions Analytics? Common Social Media Actions, Actions Analytics Tools. Social
Media Hyperlink Analytics - Types of Hyperlinks, Types of Hyperlink Analytics, Hyperlink
Analytics Tools
UNIT IV SOCIAL MEDIA LOCATION & SEARCH ENGINE ANALYTICS 5
Location Analytics - Sources of Location Data, Categories of Location Analytics, Location
Analytics and Privacy Concerns, Location Analytics Tools. Search Engine Analytics - Types
of Search Engines, Search Engine Analytics, Search Engine Analytics Tools.
UNIT V SOCIAL MEDIA ANALYTICS & APPLICATIONS 5
Social media in public sector - Analyzing public sector social media, analyzing individual
users, case study. Business use of Social Media - Measuring success, Interaction and
monitoring, case study.
TOTAL: 30 PERIODS
LIST OF EXPERIMENTS
Study various -
1.
i) Social Media platforms (Facebook, twitter, YouTube etc.).

B.Tech Information Technology Page 195 of 252

 ii) Social Media analytics tools (Facebook insights, google analytics,
Netlytic etc.).
iii) Social Media Analytics techniques and engagement metrics (page
level, post level, member level).
iv) Applications of Social media analytics for business. e.g. Google Analytics.
Data Collection-Select the social media platforms of your choice (Twitter,
2. Facebook, LinkedIn, YouTube, Web blogs etc), connect to and capture social
media data for business (scraping, crawling, parsing).
Develop Content (text, emotions, image, audio, video) based social media
3. analytics model for business (e.g. Content Based Analysis: Topic , Issue ,Trend,
sentiment/opinion analysis, audio, video, image analytics).
Develop Structure based social media analytics model for any business (e.g.
4.
Structure Based Models -community detection, influence analysis).
5. Develop a dashboard and reporting tool based on real time social media data.
Design the creative content for promotion of your business on social media
6.
platform.
Develop social media text analytics models for improving existing product/
7.
service by analyzing customer’s reviews/comments.
TOTAL: 30 PERIODS
COURSE OUTCOMES:
At the end of the course, the students will be able to:
Illustrate the nature of social media data, its sources, formats, and
CO1:
characteristics.
Explain social networks, calculate key network measures, visualize network
CO2:
structures, and SNA techniques to various domains.
Utilize social media text, user actions, and hyperlinks to derive meaningful
CO3:
insights for business and marketing purposes.
Make use of use location and search engine analytics to gain valuable insights
CO4:
into user behavior.
Summarize social media analytics methods and tools for decision-making and
CO5:
business impact across domains.
TEXT BOOKS:
Gohar F. Khan, "Seven Layers of Social Media Analytics: Mining Business
1 Insights from Social Media Text, Actions, Networks, Hyperlinks, Apps, Search
Engine, and Location Data”, Amazon Digital Services, 2015.
Matthew A. Russell and Mikhail Klassen, “Mining the Social Web Data Mining
2 Facebook, Twitter, LinkedIn, Instagram, GitHub, and More” O'Reilly Media,
2018.
REFERENCES:
Derek Hansen, Ben Shneiderman, Marc A. Smith and Itai Himelboim, “Analysing
1
Social Media Networks with Node XL”, Second Edition, Morgan Kaufmann, 2019.
David Easley and Jon Kleinberg, “Networks, Crowds, and Markets: Reasoning
2 about a Highly Connected World”, Third Edition, Cambridge University Press,
2017.

B.Tech Information Technology Page 196 of 252

 Charu C Aggarwal “Recommender Systems the Textbook”, Springer International
3
Publishing Switzerland, 2016.
Krish Krishnan & Shawn P. Rogers "Social Data Analytics: Collaboration for the
4
Enterprise”, Morgan Kaufmann, 2014.
Sharan Kumar Ravindran, Vikram Garg Mastering Social Media Mining with R,
5
Packt Publishing Limited, 2015.

Mapping of Course Outcomes to Program Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 2 1 - 1 - - - - - - - 3 - -
CO2 3 3 3 2 3 - - - - - - - 3 - -
CO3 3 3 3 2 3 - - - - - - - 3 - -
CO4 3 3 3 2 3 - - - - - - - 3 - -
CO5 3 3 3 2 3 - - - - - - - 3 - -
CO 3 3 3 2 3 - - - - - - - 3 - -
3-High, 2- Medium, 1-Low

Table of Specifications for End Semester Question Paper

Cognitive Level
Analyse
Total 2 Total 16 (An)
Unit No. and Title Marks Marks Remember Understand Apply
Evaluat
Qns. Qns. (Re) (Un) (Ap)
e
(Ev)
No. of Qns. (marks) and CO
Unit-I:
1(2)-CO1
Social Media 1 either
2 1(2)-CO1 1 either or -
Analytics: An or
(16)- CO5
Overview
Unit-II:
1(2)- CO2
Social Network 1 either
2 1(2)-CO2 1 either or - -
Structure, Measures or
(16)- CO2
& Visualization
Unit-III:
Social Media Text, 1 either 1 either or
2 1(2)- CO3 1 (2)- CO3 -
Action & Hyperlink or (16)- CO3
Analytics

B.Tech Information Technology Page 197 of 252

 Unit-IV:
Social Media 1 either 1 either or
2 1(2)-CO4 1 (2)- CO4 -
Location & Search or (16)- CO4
Engine Analytics
Unit-V:
Social Media 1 either 1 either or
2 2(2)-CO5 - -
Analytics & or (16)- CO5
Applications
4(2) 2 either
5 either
Total Qns. 6(2) 3 either or or -
10 or
(16) (16)
Total Marks 20 80 12 56 32 -

Weightage 20% 80% 12% 56% 32% -

Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

VERTICAL IV: INFORMATION ASSURANCE AND SECURITY

L T P C
IT22541 CYBER ETHICS AND LEGAL ISSUES
2 0 2 3
COURSE OBJECTIVES
• To demonstrate the basic concepts of cyber ethics.
• To describe the ethical concepts and theories.
• To apply the concepts of security in digital devices.
• To apply the hacking and cybercrime concepts.
• To demonstrate the ethical aspects of emerging and converging technologies
UNIT I CYBER ETHICS 6
Introduction To Cyberethics: Concepts, Perspectives, And Methodological Frameworks :
Cyberethics and cybertechnology – Cyberethics evolution – Are Cyberethics issues Unique
ethical issues? –Three Distinct perspectives – A Comprehensive Cyberethics Methodology.
UNIT II ETHICAL CONCEPTS AND THEORIES 6
Establishing and Justifying a Moral System: Ethics and Morality – Ethical Theories.
Professional Ethics, Codes of Conduct, and Moral Responsibility: Professional Ethics –
Professional Code of Ethics and Code of Conduct – Risk Assessment in the software
development process.
UNIT III CYBERSPACE 6
Privacy and cyberspace – Personal Privacy – Why is privacy important? – Gathering,
exchanging and mining personal data. security in cyberspace : Security in the context of
cybertechnology – Categories of Cyber security – Hacking and Hacker ethic.

B.Tech Information Technology Page 198 of 252

 UNIT IV CYBERCRIME AND INTELLECTUAL PROPERTY 6
Cybercrime and cyber related crimes: Cybercrimes and Cybercriminals -Hacking, Cracking
and Counter hacking – Categories of cybercrime. Intellectual property disputes in cyber
space: What is Intellectual Property – Copyright law and Digital Media – Patents,
Trademarks and Trade Secrets.
ETHICAL ASPECTS OF EMERGING AND CONVERGING
UNIT V 6
TECHNOLOGIES
Ambient Intelligence and Ubiquitous Computing – Bioinformatics and Computational
Genomics – Nanotechnology and Nanocomputing – Autonomous machine and machine
ethics.
TOTAL PERIODS: 30
PRACTICAL EXERCISES
Setting, configuring and managing three password policy in the computer (BIOS,
1. Administrator and Standard User).
2. Setting and configuring two factor authentication in the Mobile phone.
3. Installation and configuration of Computer Host Firewall.
4. Demonstration of email phishing attack and preventive measures.
5. Investigations on Email Crime.
6. Hacking a web page
7. Recovering deleted files from a hard disk
TOTAL PERIODS: 30
COURSE OUTCOMES
Upon completion of the course, students will be able to
CO1: Demonstrate the basic concepts of cyber ethics.
CO2: Describe the ethical concepts and theories.
CO3: Apply the concepts of security in digital devices.
CO4: Apply the hacking and cybercrime concepts.
CO5: Demonstrate the ethical aspects of emerging and converging technologies
TEXT BOOKS
Herman T. Tavani,” Ethics and Technology Controversies, Questions, and Strategies
1.
for Ethical Computing”, Fourth Edition,Wiley, 2015.
Mark Grabowski and Eric P. Robinson,” Cyber Law and Ethics”, Routledge,2021.
2.

REFERENCE BOOKS
Sunit Belapure and Nina Godbole, “Cyber Security: Understanding Cyber Crimes,
1.
Computer Forensics and Legal Perspectives”, Wiley India Pvt Ltd,2011.
Kumar & Sharma, “Cyber Laws: Intellectual Property and E-commerce Security”,
2.
Dominant Publishers & Distributors Private Ltd, 2011.
Anand Shinde, “Introduction to Cyber Security Guide to the World of Cyber
3.
Security”, Notion Press, 2021.
Alfreda Dudley, James Braman and Giovanni Vincenti, “Investigating Cyber Law
4. and Cyber Ethics: Issues, Impacts and Practices”, IGI Global, 2011.
Ishaani Priyadarshini and Chase Cotton, “Cybersecurity Ethics, Legal,
5.
Risks, and Policies”, Taylor and Francis Group, 2021.

B.Tech Information Technology Page 199 of 252

 Mapping of Course Outcomes to Program Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 2 2 1 - - 3 - 3 - - - 1 - 3 -
CO2 2 2 1 - - 3 - 3 - - - 1 - 3 -
CO3 2 2 1 3 3 3 - 3 - - - 1 - 3 -
CO4 2 2 1 3 3 3 - 3 - - - 1 - 3 -
CO5 2 2 1 - - 3 - 3 - - - 1 - 3 -
CO 2 2 1 3 3 3 - 3 - - - 1 - 3 -
3-High, 2- Medium, 1-Low

Table of Specifications for End Semester Question Paper

Cognitive Level
Total Total
Unit No. 2 16 Analyse
and Title Mark Marks Remember Understa Apply (An)
s Qns. Qns. (Re) nd (Un) (Ap) Evaluate
(Ev)
1(2)-CO1,
Unit-I: 1 either
2 1(2)-CO1 1 either or - -
Cyber Ethics or
(16)-CO1
Unit-II:
1(2)-CO2,
Ethical 1 either
2 1(2)-CO2 1 either or - -
Concepts and or
(16)-CO2
Theories
1 either or
Unit-III: 1 either 1(2)-CO3
2 1(2)-CO3 (16)-CO3 -
Cyberspace or
Unit-IV:
1 either or
Cybercrime 1 either 1(2)-CO4,
2 1(2)-CO4 (16)-CO4 -
and Intellectual or
Property
Unit-V:
Ethical Aspects
of Emerging 1 either or
1 either
and 2 2(2)-CO5 (16)-CO5 - -
or
Converging
Technologies

4(2)
5 either 2 either or
Total Qns. 10 6(2) 3 either or -
or (16)
(16)
Total Marks 20 80 12 56 32 -
Weightage 20% 80% 12% 56% 32% -
Weightage for Cos

B.Tech Information Technology Page 200 of 252

 CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

PENETRATION TESTING AND VULNERABILITY L T P C

IT22542
ANALYSIS 2 0 2 3
COURSE OBJECTIVES:
• To learn the tools that can be used to perform information gathering.
• To identify operating systems, server applications to widen the attack surface and
perform vulnerability assessment activity and exploitation phase.
• To learn how vulnerability assessment can be carried out by means of automatic
tools or manual investigation.
• To learn the web application attacks starting from information gathering to
exploitation phases.
• To learn how to metasploit and meterpreter are used to automate the attacks and
penetration testing techniques.
UNIT I INFORMATION GATHERING 6
Introduction - Terminologies - Categories of Penetration Testing - Phases of Penetration
Test - Penetration Testing Reports - Information Gathering Techniques - Active, Passive
and Sources of Information Gathering - Approaches and Tools - Traceroutes, Neotrace,
Whatweb, Netcraft, Xcode Exploit Scanner and NSlookup. Host discovery - Scanning for
open ports and services- Types of Port.
UNIT II HOST DISCOVERY AND EVADING TECHNIQUES 6
Vulnerability Scanner Function, pros and cons - Vulnerability Assessment with NMAP -
Testing SCADA environment with NMAP - Nessus Vulnerability Scanner - Safe check -
Silent dependencies - Port Range Vulnerability Data Resources.
UNIT III COMMON VULNERABILITY ANALYSIS OF APPLICATION 6
PROTOCOLS
Testing for vulnerability web application and resources - Authentication Bypass with
Insecure Cookie Handling - XSS Vulnerability - File inclusion vulnerability - Remote
file Inclusion - Patching file Inclusions - Testing a website for SSI Injection.
UNIT IV WIRELESS NETWORK VULNERABILITY ANALYSIS 6
WLAN and its inherent insecurities - Bypassing WLAN Authentication: uncovering hidden
SSIDs - MAC Filters - Bypassing open and shard authentication - Attacking the client: Caffe
Latte attack De-authenticating the client - cracking WEP with the hirte attack - AP-less WPA
cracking - Advanced WLAN Attacks - Wireless eavesdropping using MITM session
hijacking over wireless - WLAN Penetration Test Methodology.
UNIT V EXPLOITS 6

B.Tech Information Technology Page 201 of 252

 Architecture and Environment- Leveraging Metasploit on Penetration Tests, Understanding
- Metasploit Channels, Metasploit Framework and Advanced Environment configurations
- Understanding the Soft Architecture, Configuration and Locking, Advanced payloads and
addon modules Global datastore, module datastore, saved environment Meterpreter.
TOTAL: 30 PERIODS
LIST OF EXPERIMENTS
1. Set up of Kali Linux in a Virtual machine and setup with DNS info and collection
of local networks.
2. Scan the network for Windows XP and Windows 7 Target machines in local
network and virtual network.
3. Identify the open ports and firewall rules setup.
4. Use password guessing tools to guess a password. Use password strengthening
tools to strengthen the password. Try guessing the password and tabulate the
enhanced difficulty due to length of password and addition of special characters.
5. Extract password hashes from Windows XP/NT machine. Use a password
extraction tool, using word list, single crack or external mode to recover the
password. Increase the complexity of the password and determine the point at
which the cracking tool fails.
6. Experiments on SQL injections.
7. Experiments on Metasploit Framework.
TOTAL: 30 PERIODS
COURSE OUTCOMES:
At the end of the course, the students will be able to:

CO1: Explain the basic principles for Information Gathering and Detecting
Vulnerabilities in the system.
Illustrate the various attacks caused using the network and communication
CO2:
system in an application
CO3: Identify the potential risks associated with specific application protocols.
Examine the security threats and vulnerabilities in computer networks using
CO4:
penetration testing techniques
CO5: Make use of penetration testing tools.
TEXT BOOKS:
Rafay Baloch, “Ethical Hacking and Penetration Testing Guide”, CRC Press,
1
2015.
Patrick Engebretson, “The Basics of Hacking and Penetration Testing Ethical
2 Hacking and Penetration Testing made easy”, Syngress publications, Elsevier,
2013.
REFERENCES:
Vivek Ramachandran and BackTrack “Wireless Penetration Testing, Beginners
1 guide Master bleeding edge wireless testing techniques with BackTrack”, Packt
Publishing, 2011.

B.Tech Information Technology Page 202 of 252

 Mayor, K.K.Mookey, Jacopo Cervini, Fairuzan Roslan and Kevin Beaver,
2 “Metasploit Toolkit for Penetration Testing, Exploit Development and
Vulnerability Research”, Syngress publications, Elsevier, 2011.
Abhinav Singh, “Metasploit Penetration Testing Cookbook”, Packt Publishing,
3
2012.
Ken Dunham, “Mobile Malware Attacks and Defence”, Syngress publications,
4
Elsevier, 2010.
Andrew Whitaker and Daniel P. Newman, “Penetration Testing and Network
5 Defence :The practical guide to simulating, detecting and responding to network
attacks”, Cisco Press, 2010.

Mapping of Course Outcomes to Program Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 1 3 - 2 - - - - - - - 3 - -
CO2 3 2 3 - 2 - - - - - - - 3 - -
CO3 3 1 3 - 2 - - - - - - - 3 - -
CO4 3 1 3 - 2 - - - - - - - 3 - -
CO5 3 2 3 - 2 - - - - - - - 3 - -
CO 3 1 3 - 2 - - - - - - - 3 - -
3-High, 2- Medium, 1-Low

Table of Specifications for End Semester Question Paper

Cognitive Level
Analyse
Total 2 Total 16 (An)
Unit No. and Title Marks Marks Remember Understand Apply
Evaluat
Qns. Qns. (Re) (Un) (Ap)
e
(Ev)
No. of Qns. (marks) and CO
Unit-I: 1(2)-CO1
1 either
Information 2 1(2)-CO1 1 either or -
or
Gathering (16)- CO5
Unit-II: 1(2)- CO2
1 either
Host Discovery and 2 1(2)-CO2 1 either or - -
or
Evading Techniques (16)- CO2
Unit-III:
1 either 1 either or
Common 2 2(2)- CO3 - -
or (16)- CO3
Vulnerability

B.Tech Information Technology Page 203 of 252

 Analysis of
Application
Protocols
Unit-IV:
Wireless Network 1 either 1 either or
2 1(2)-CO4 1 (2)- CO4 -
Vulnerability or (16)- CO4
Analysis
Unit-V: 1 either 1 either or
2 2(2)-CO5 - -
Exploits or (16)- CO5
3(2) 3 either
5 either
Total Qns. 7(2) 2 either or or -
10 or
(16) (16)
Total Marks 20 80 14 38 48 -

Weightage 20% 80% 14% 38% 48% -

Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

DIGITAL FORENSICS L T P C
IT22641
2 0 2 3
COURSE OBJECTIVES:
• To study the fundamentals of digital Forensics
• To learn, analyze and validate Forensics Data
• To study the tools and tactics associated with Cyber Forensics
UNIT I DIGITAL FORENSIC- INTRODUCTION 6
Computer forensics and investigations as a profession, Understanding computer forensics,
computer forensics versus other related disciplines, A brief History of computer Forensics,
Understanding case laws, Developing computer forensics resources, Preparing for computer
investigations, Understanding law enforcement agency investigations, Following the legal
process, Understanding corporate investigations, Establishing company policies, Displaying
warning Banners.
UNIT II WINDOWS SYSTEMS AND ARTIFACTS 6
Introduction, Windows File Systems, File Allocation Table, New Technology File System,
File System Summary, Registry, Event Logs, Prefetch Files, Shortcut Files, Windows
Executables.
UNIT III LINUX SYSTEMS AND ARTIFACTS 6

B.Tech Information Technology Page 204 of 252

 Introduction, Linux File Systems, File System Layer, File Name Layer , Metadata Layer,
Data Unit Layer, Journal Tools, Deleted Data, Linux Logical Volume Manager, Linux Boot
Process and Services, System V , BSD, Linux System Organization and Artifacts,
Partitioning, File system Hierarchy, Ownership and Permissions, File Attributes, Hidden
Files, User Accounts , Home Directories, Shell History GNOME Windows Manager
Artifacts, Logs, User Activity Logs, Syslog, Command Line Log Processing, Scheduling
Tasks.
UNIT IV CURRENT COMPUTER FORENSICS 6
Tools Evaluating Computer Forensics - Tool Needs, Types of Computer Forensics Tools,
Tasks Performed by Computer Forensics Tools, Tool Comparisons, Other Considerations
for Tools, Computer Forensics Software Tools, Command-Line Forensics Tools,
UNIX/Linux Forensics Tools, Other GUI Forensics Tools, Computer Forensics Hardware
Tools, Forensic Workstations, Using a Write-Blocker.
UNIT V IDENTIFICATION OF DATA 6
Timekeeping, Forensic Identification and Analysis of Technical Surveillance Devices,
Reconstructing Past Events: How to Become a Digital Detective, Useable File Formats,
Unusable File Formats, Converting Files, Investigating Network Intrusions and Cyber
Crime, Network Forensics and Investigating logs, Investigating network Traffic,
Investigating Web attacks ,Router Forensics. Cyber forensics tools and case studies.
TOTAL: 30 PERIODS
PRACTICAL EXERCISES:
1 Study of Computer Forensics and different tools used for forensic investigation.
2 Live Forensics case Investigation using Autopsy
3 How to Recover deleted Files using Forensics Tools
4 Find last Connected USB on your system (USB Forensics)
5 How to Collect Email Evidence in Victim PC
6 How to Extract6 Exchangeable image file format (EXIF) Data from Image Files
using Exifreader Software
7 Study the steps for hiding and extract any text file behind an image file/Audio
file using Command Prompt
TOTAL: 30 PERIODS
COURSE OUTCOMES:
At the end of the course, the students will be able to:
CO1: Summarize the highest professional and ethical standards.
CO2: Compare technical and legal information and emerging industry trends.
CO3: Identify and document potential security breaches of computer data.
Identify digital investigations that conform to accepted professional
CO4:
standards.
Apply collaboratively with clients, management, and/or law enforcement to
CO5:
advance digital investigations or protect the security of digital resources.
TEXT BOOKS:
1 Cory Altheide and Harlan Carvey, “Digital Forensics with Open Source Tools”,
Syngress imprint of Elsevier, 2011.

B.Tech Information Technology Page 205 of 252

 Bill Nelson, Amelia Phillips, Christopher Steuart, “Guide to Computer Forensics
2
and Investigations”, Fourth Edition, Course Technology,2014.
REFERENCES:
1 Angus M.Marshall, “Digital forensics: Digital evidence in criminal investigation”,
John – Wiley and Sons, 2010.
2 John Sammons , “The Basics of Digital Forensics: The Primer for Getting Started
in Digital Forensics”, Syngress imprint of Elsevier, 2012.

3 Anders Flaglien, Inger Marie Sunde and Ausra Dilijonaite, “Digital Forensics”,
John Wiley & Sons, Ltd, 2017.
4 William Oettinger , “Learn Computer Forensics”, Packt publishers, 2020.
5 Thomas J. Holt , “Cybercrime and Digital Forensics An Introduction”, Third
Edition, Routledge Publishers, 2022.

Mapping of Course Outcomes to Program Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 3 3 1 1 - - - 1 1 2 2 3 - -
CO2 2 1 1 3 2 - - - 2 2 1 2 2 - -
CO3 3 2 1 2 2 - - - 2 1 1 2 1 - -
CO4 3 2 3 2 2 - - - 3 3 3 2 2 - -
CO5 3 1 2 3 3 - - - 2 2 2 2 3 - -
CO 3 2 2 2 2 - - - 2 2 2 2 2 - -
3-High, 2- Medium, 1-Low

Table of Specifications for End Semester Question Paper

Cognitive Level
Analyse
Total 2 Total 16 (An)
Unit No. and Title Marks Marks Remember Understand Apply
Evaluat
Qns. Qns. (Re) (Un) (Ap)
e
(Ev)
No. of Qns. (marks) and CO
Unit-I: 1(2)-CO1
1 either
Digital Forensic- 2 1(2)-CO1 1 either or - -
or
Introduction (16)-CO1
Unit-II:
Windows Systems 1(2)-CO2
1 either
and Artifacts 2 1(2)-CO2 1 either or - -
or
Windows Systems (16) - CO2
and Artifacts
Unit-III: 1 either 1(2)-CO3
2 1(2)-CO3 - -
Linux Systems and or 1 either or

B.Tech Information Technology Page 206 of 252

 Artifacts (16) -CO3
Unit-IV:
1 either 1 either or
Current Computer 2 1(2)-CO4 1(2)-CO4 -
or (16)-CO4
Forensics
Unit-V:
1 either 1 either or
Identification of 2 1(2)-CO5 1(2)-CO5 -
or (16) -CO5-
Data
5(2)
5 either 2either or
Total Qns. 10 5(2) 3 either or -
or (16)
(16)
Total Marks 20 80 10 58 32 -

Weightage 20% 80% 10% 58% 32% -

Weightage for Cos

CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

INFORMATION SECURITY L T P C
IT22642
2 0 2 3
COURSE OBJECTIVES:
• To understand the basics of Information Security
• To know the need for Information Security
• To become aware of Security management
• To know the aspects of risk management
• To know the technological aspects of Information Security
UNIT I INTRODUCTION 6

History - What is Information Security? - Critical Characteristics of Information - CNSS

Security Model - Components of an Information System, Security and the Organization:
Balancing Security and Access - Approaches to Information Security Implementation.

UNIT II NEED FOR INFORMATION SECURITY 5

Introduction to the Need for Information Security - Information Security Threats and
Attacks – The 12 Categories of Threats.

UNIT III SECURITY MANAGEMENT 6

Introduction to the Management of Information Security - Information Security Planning

and Governance - Information Security Policy, Standards, and Practices- Security

B.Tech Information Technology Page 207 of 252

 Education, Training, and Awareness Program- Information Security Blueprint, Models, And
Frameworks.

UNIT IV RISK MANAGEMENT 6

Risk Management: The Risk Management Framework- The Risk Management Process-
Systems Risk Treatment/Risk Response - Managing Risk - Alternative Risk Management
Methodologies.

UNIT V SECURITY TECHNOLOGY 7

Introduction to Access Controls - Firewall Technologies - Protecting Remote Connections

- Intrusion Detection and Prevention Systems

TOTAL: 30 PERIODS
LIST OF EXPERIMENTS
Implement STS to issue security tokens for authentication and access control in a
1. distributed system.

Configure Multi-Factor Authentication (MFA) for a system or application and test

2.
the login process with multiple authentication factors.
Set up an IDS in a lab environment to monitor remote access attempts. Simulate
3.
various attack scenarios (e.g., brute force attacks) and analyze IDS alerts.
Configure the firewall to log traffic events and use a log analysis tool (e.g., Splunk,
4. ELK stack) to parse and analyze the logs. Identify suspicious traffic patterns,
successful/failed connection attempts, and other security events.
Set up a honeypot (e.g., Honeyd, Kippo) in a lab environment. Configure the
5.
honeypot to mimic a vulnerable system or service to attract attackers.
Create a small-scale honeynet by deploying multiple honeypots interconnected with
6. a dedicated network segment. Configure the honeypots to collect and share attack
information.
TOTAL: 30 PERIODS
COURSE OUTCOMES:
At the end of the course, the students will be able to:
CO1: Explain the basics of Information Security.
CO2: Summarize the need for Information Security.
CO3: Identify the key areas and concepts in Information Security Management.
CO4: Illustrate the aspects of Risk Management.
CO5: Make use of Security Technology.
TEXT BOOKS:
Michael E Whitman and Herbert J Mattord, “Principles of Information Security”,
1
Cengage Publication, 2022.
Matt Bishop “Computer Security Art and Science”, Second Edition,Addisson-
2
Wesley,2019.
REFERENCES:
Micki Krause and Harold F. Tipton, “Information Security Management
1
handbook”, Sixth Edition,Auerbach Publications, 2012.

B.Tech Information Technology Page 208 of 252

 Stuart McClure, Joel Scrambray and George Kurtz, “Hacking Exposed: Network
2 Security Secrets and Solutions”, Fifth Edition,Tata McGraw- Hill Osborne
Media, 2019.
Mark Stamp, “Information Security Principles and Practice”, John Wiley and
3
sons, 2011.
Timothy J. Shineall and Jonathan M. Spring , “Introduction to Information
4
Security: A strategic Based Approach”, Elsevier, 2014.
Jason Andress and Steven Winterfield, “The Basics of Information Security
5
Understanding the fundamentals of InfoSec in Theory Practice”, Elsevier, 2014.

Mapping of Course Outcomes to Program Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 2 2 - 2 - - - - - - - 3 - -
CO2 3 2 2 - 2 - - - - - - - 3 - -
CO3 3 2 2 - 3 - - - - - - - 3 - -
CO4 3 2 2 - 3 - - - - - - - 3 - -
CO5 3 3 3 - 3 - - - - - - - 3 - -
CO 3 2 2 - 3 - - - - - - - 3 - -
3-High, 2- Medium, 1-Low

Table of Specifications for End Semester Question Paper

Cognitive Level
Analyse
Total 2 Total 16 (An)
Unit No. and Title Marks Marks Remember Understand Apply
Evaluat
Qns. Qns. (Re) (Un) (Ap)
e
(Ev)
No. of Qns. (marks) and CO
1(2)-CO1
Unit-I: 1 either
2 1(2)-CO1 1 either or - -
Introduction or
(16)- CO5
Unit-II:
1(2)- CO2
Need for 1 either
2 1(2)-CO2 1 either or - -
Information or
(16)- CO2
Security
Unit-III: 1(2)- CO3
1 either
Security 2 1(2)- CO3 1 either or - -
or
Management (16)- CO3
Unit-IV: 1 either 1 (2)- CO4
2 1(2)-CO4 - -
Risk Management or 1 either or

B.Tech Information Technology Page 209 of 252

 (16)- CO4
Unit-V: 1 either 1 either or
2 2(2)-CO5 - -
Security Technology or (16)- CO5
4(2)
5 either 1either or
Total Qns. 6(2) 4 either or -
10 or (16)
(16)
Total Marks 20 80 12 72 16 -

Weightage 20% 80% 12% 72% 16% -

Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

L T P C
IT22741 MULTIMEDIA SECURITY
2 0 2 3
COURSE OBJECTIVES:
• To understand the basics of digital watermarking
• To know about the concepts of digital watermarking techniques.
• To understand the basic concepts of steganography.
• To implement various steganography schemes.
• To learn about multimedia encryption techniques.
UNIT I INTRODUCTION TO DIGITAL WATERMARKING 5
Digital Watermarking Basics: Models of Watermarking, Basic Message Coding, Error
Coding, Digital Watermarking Theoretic Aspects: Mutual information and Channel
Capacity, Designing a good digital watermark, Theoretical analysis of Digital
watermarking.
UNIT II SIGNAL & MULTIMEDIA WATERMARKING 8
Audio Watermarking, Speech Watermarking, Image Watermarking, Video Watermarking.
UNIT III STEGANOGRAPHY 5
Introduction- Digital Image formats- Modern Steganography, Steganography Channels
Steganography Goals
UNIT IV STEGANOGRAPHY SCHEMES 6
Image : Substitution, Bit Plane Coding, Transform Domain, Audio: Data Echo Hiding, Phase
Coding, Video: Temporal technique, Spatial technique .
UNIT V MULTIMEDIA ENCRYPTION 6
Fundamentals of Multimedia Encryption Techniques, Chaos-Based Encryption for Digital
Images and Videos, Key Management and Protection for IP Multimedia.
TOTAL: 30 PERIODS
LIST OF EXPERIMENTS
1 Compare the performance of different encryption algorithms (e.g., AES, RSA) on
multimedia files (e.g., images, videos) in terms of security and speed.
B.Tech Information Technology Page 210 of 252
 2 Develop an application for image watermarking.
3 Develop an application for audio watermarking.
4 Implement a function to encode the message into a text file.
5 Implement a function to encode the message into an image file.
6 Implement a function to encode the message into an audio file.
TOTAL: 30 PERIODS
COURSE OUTCOMES:
At the end of the course, the students will be able to:
CO1: Demonstrate the watermarking techniques to design a good digital watermark.
CO2: Apply digital watermarking techniques.
CO3: Explain the basic concept of steganography.
CO4: Utilize steganography techniques in real-world applications.
CO5: Summarize multimedia encryption methods.
TEXT BOOKS:
Frank Shih, “Digital Watermarking and Steganography: Fundamentals and
1
Techniques”, Second Edition,CRC press, 2017.
Nematollahi, Mohammad Ali, Vorakulpipat, Chalee, Rosales and Hamurabi
2
Gamboa, “Digital Watermarking: Techniques and Trends”, Springer, 2017.
REFERENCES:
Ingemar Cox, Matthew Miller, Jeffrey Bloom, Jessica Fridrich and TonKalker,
1
“Digital Watermarking and Steganography”, Second Edition, Elsevier, 2017.
David Easley and Jon Kleinberg, “Networks, Crowds, and Markets: Reasoning
2 about a Highly Connected World”, Third Edition, Cambridge University Press,
2017.
Singh, Amit Kumar, Mohan and Anand, “Handbook of Multimedia Information
3
Security: Techniques and Applications”, Springer, 2019.
Pande, Amit, Zambreno and Joseph, “Embedded Multimedia Security Systems”,
4
Springer, 2013.
5 B. Furht and D. Kirovski ,” Multimedia Security Handbook”, CRC press, 2020.

Mapping of Course Outcomes to Program Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 2 1 - 2 - - - - - - - 3 - -
CO2 3 3 3 2 3 - - - - - - - 3 - -
CO3 3 2 1 1 2 - - - - - - - 3 - -
CO4 3 3 3 2 3 - - - - - - - 3 - -
CO5 3 3 3 2 3 - - - - - - - 3 - -

B.Tech Information Technology Page 211 of 252

 CO 3 3 2 2 3 - - - - - - - 3 - -
3-High, 2- Medium, 1-Low
Table of Specifications for End Semester Question Paper
Cognitive Level
Analyse
Total 2 Total 16 (An)
Unit No. and Title Marks Marks Remember Understand Apply
Evaluat
Qns. Qns. (Re) (Un) (Ap)
e
(Ev)
No. of Qns. (marks) and CO
Unit-I:
Introduction to 1 either 1 either or
2 2(2)-CO1 -
Digital or (16)- CO5
Watermarking
Unit-II:
Signal & 1 either 1 either or
2 1(2)-CO2 1(2)- CO2 -
Multimedia or (16)- CO3
Watermarking
1 (2)- CO3
Unit-III: 1 either
2 1(2)- CO3 1 either or -
Steganography or
(16)- CO3
Unit-IV:
1 either 1 either or
Steganography 2 1(2)-CO4 1 (2)- CO4 -
or (16)- CO4
Schemes
Unit-V:
1 either 1 either or
Multimedia 2 2(2)-CO5 - -
or (16)- CO5
Encryption
3(2) 2 either
5 either
Total Qns. 7(2) 3 either or or -
10 or
(16) (16)
Total Marks 20 80 14 54 32 -

Weightage 20% 80% 14% 54% 32% -

Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

L T P C
CS22732 BLOCKCHAIN TECHNOLOGIES
2 0 2 3
COURSEOBJECTIVES:
● Get to grips with the underlying technical principles of blockchain.
● Explore cryptography, mine crypto-currencies, and solve scalability issues with this
comprehensive guide.

B.Tech Information Technology Page 212 of 252

 ● Build powerful applications using Ethereum to secure transactions and create smart
contracts.
● Investigate Securing, interconnecting public and private blockchain
● Understand the decentralized applications (Dapps).
UNIT I INTRODUCTION AND CONSENSUS MECHANISM 6

Introduction: Overview of Block chain, History of Blockchain, Peer to Peer Network, Smart
Contract, Wallet, Digital Currency, Ledgers, Types of Blockchain Platform. Permissioned
Blockchain, Permissionless Blockchain, Different Consensus Mechanism- Proof of Work,
Proof of Stake, Proof of Activity, Proof of Burn, Proof of Elapsed Time, Proof of Authority,
Proof of Importance.

UNIT II CRYPTO CURRENCY AND WALLET 6

Types of Wallet, Desktop Wallet, App based Wallet, Browser based wallet, Meta-mask,
Creating an account in Meta-mask, Use of faucet to fund wallet, transfer of cryptocurrency
in meta-mask.

UNIT III SMART CONTRACT AND ETHEREUM 6

Overview of Ethereum, Writing Smart Contract in Solidity, Remix IDE , Different networks
of Ethereum, understanding blocks practically at blockhcain.com, how to compile and deploy
smart contract in remix.

CRYPTO PRIMITIVES, SECURING AND INTERCONNECTING

UNIT IV 7
PUBLIC AND PRIVATE BLOCK CHAINS
Hash Function and Merle Tree-Security Properties-Security Considerations for block chain-
Digital Signature-Public Key Cryptography-Bitcoin blockchain incentive structures- Nash
Equilibriums- evolutionary stable strategies,-and Pareto efficiency (game theory)
UNIT V USE CASES-APPLICATIONS IN DIFFERENT AREAS 5

Industry applications of Blockchain-Blockchain in Government-Government use cases-

Preventing Cybercrime through block chain-Block Chain in defense, tax payments
30 PERIODS
PRACTICAL EXERCISES
1 Creating Merkle tree
2 Creation of Block
3 Block chain Implementation Programming code
4 Creating ERC20 token
5 Java code to implement blockchain in Merkle Trees
6 Java Code to implement Mining using block chain
7 Java Code to implement peer-to-peer using block chain
30 PERIODS
TOTAL: 60 PERIODS
COURSE OUTCOMES:
At the end of the course, the students will be able to:
CO1: Recognize the block chain technology.

B.Tech Information Technology Page 213 of 252

 Comprehend the Consensus Mechanism, Crypto-Currency, smart contract,
CO2:
Hyperledger Fabric.
Identify the block-chain based solutions and write smart contract using Ethereum
CO3:
Framework.
CO4: Know to secure the private and public blockchain.
CO5: Apply Blockchain in future use cases for security.
TEXT BOOKS:
Imran Bashir ,”Mastering Blockchain: A deep dive into distributed ledgers, consensus
1. protocols, smart contracts, DApps, crypto currencies, Ethereum, and more”, Third
Edition, Packt Publishing, 2020.
Antonopoulos, Andreas M., and Gavin Wood, “Mastering ethereum: building smart
2. contracts and Dapps”, O'Reilly Media, 2018.

REFERENCES:
1. Andreas Antonopoulos, “Mastering Bitcoin: Unlocking Digital Cryptocurrencies”,
O‟Reilly, 2014.
2. Swan and Melanie,” Blockchain: Blueprint for a new economy”, O'Reilly Media, 2015.
3. Badr, Bellaj, Richard Horrocks and Xun Brian Wu. “Blockchain By Example: A
developer's guide to creating decentralized applications using Bitcoin, Ethereum, and
Hyperledger”, Packt Publishing Ltd, 2018.
4. Chittoda and Jitendra,”Mastering Blockchain Programming with Solidity: Write
production-ready smart contracts for Ethereum blockchain with Solidity”, Packt
Publishing Ltd, 2019.
5. Antony Lewis, “The Basics Of Bitcoins And Blockchains:An Introduction To
Cryptocurrencies And The Technology That Powers Them”, Mango Media Illustrated
edition,2018.

Mapping of Course Outcomes to Program Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 2 2 2 - - - - - - - - - - 2 -
CO2 2 2 2 2 - - - - - - - - - 2 -
CO3 2 2 2 2 - - - - - - - - - 2 -
CO4 2 2 2 2 - - - - - - - - - 2 -
CO5 - 2 2 2 - - - - - - - - - 2 -
CO 2 2 2 2 - - - - - - - - - 2 -
3-High, 2- Medium, 1-Low

Table of Specification for End Semester Question Paper

B.Tech Information Technology Page 214 of 252

 Cognitive Level
Total 2 Total 16
Marks Marks Remember Understand Apply Analyse(An)
Unit No. and Title (Kn) (Un) (Ap) Evaluate(Ev)
Qns. Qns.
No.of Qns.(marks) and CO
Unit-I:
Introduction and 1either or -
2 1eitheror 2(2)-CO1 -
Consensus (16)- CO1
Mechanism
Unit-II:
1eitheror -
Crypto Currency 2 1eitheror 2(2)-CO2 -
(16)- CO2
and Wallet
Unit-III:
1 eitheror(1 -
Smart Contract and 2 1eitheror 1(2)- CO3 1(2)-CO3
6)-CO3
Ethereum
Unit-IV:
Crypto Primitives,
1(2)-CO4
Securing and
2 1eitheror 1(2)-CO4 1either or - -
Interconnecting
(16)-CO4
Public and Private
Block Chains
Unit-V:
1(2)-CO5
Use Cases-
2 1eitheror 1(2)-CO5 1eitheror - -
Applications in
(16)- CO5
Different Areas
3(2)
2eitheror -
Total Qns. 5eitheror 7(2) 3eitheror
10 (16)
(16)
Total Marks 20 80 14 54 16 -
Weightage 20% 80% 14% 78% 24% -
Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

VERTICAL V: COGNITIVE TECHNOLOGIES

QUANTUM COMPUTING L T P C
IT22551
2 0 2 3
COURSEOBJECTIVES:
• To know the background of classical computing and quantum computing.
• To learn the fundamental concepts behind quantum computation.
• To study the details of quantum mechanics and its relation to Computer Science.
• To gain knowledge about the basic hardware and mathematical models of quantum
computation.

• To learn the basics of quantum cryptography and future applications

B.Tech Information Technology Page 215 of 252

 UNITI QUANTUM COMPUTING BASIC CONCEPTS 6
History and Evolution of Quantum Computing, Classical vs Quantum Computers, Complex
Numbers - Linear Algebra - Matrices and Operators - Global Perspectives Postulates of
Quantum Mechanics – Quantum Bits - Representations of Qubits – Superpositions.
UNIT II DIGITAL QUANTUM GATES AND CIRCUITS 6
Universal logic gates - Basic single qubit gates - Multiple qubit gates - Circuit development -
Quantum error correction .
QUANTUM PROGRAMMING
UNIT III 6
Introduction to Quantum Programming Languages (Q#), Writing and Testing Quantum
Programs, Quantum Simulations .
UNIT IV QUANTUM ALGORITHMS 6
Quantum Teleportation, Quantum parallelism - Deutsch’s algorithm - The Deutsch–Jozsa
algorithm - Quantum Fourier transform and its applications - Quantum Search Algorithms:
Grover’s Algorithm .
UNIT V QUANTUM CRYPTOGRAPHY 6
Classical cryptography basic concepts - Private key cryptography - Shor’s Factoring
Algorithm - Quantum Key Distribution - BB84 - Ekart 91, Quantum Communication
Protocols, Futures of Quantum Computing.
TOTAL: 30 PERIODS
PRACTICAL EXERCISES
1 Single qubit gate simulation - Quantum Composer
2 Multiple qubit gate simulation - Quantum Composer
Composing simple quantum circuits with q-gates and measuring the output into
3
classical bits.
4
Implementation of Shor’s Algorithms
5 Implementation of Grover’s Algorithm
6 Implementation of Deutsch’s Algorithm
7 Quantum Key Distribution Simulation
TOTAL :30 PERIODS
COURSE OUTCOMES
On completion of the course, the students will be able to:
CO1: Explain the basics of quantum computing.
CO2: Interpret the background of Quantum Mechanics.
CO3: Analyse the quantum computation models.
CO4: Model the circuits using quantum computation, environments and frameworks.
CO5: Describe the future of quantum computing
TEXTBOOK:
Parag K Lala, “Quantum Computing, A Beginners Introduction”, Mc Graw Hill
1
Education ,2020.
Michael A. Nielsen and Issac L. Chuang, “Quantum Computation and Quantum
2
Information”, Tenth Edition, Cambridge University Press, 2010.
REFERENCES:
1 Chris Bernhardt, “Quantum Computing for Everyone”, The MIT Press,2020.

B.Tech Information Technology Page 216 of 252

 2 Scott Aaronson, “Quantum Computing Since Democritus”, Cambridge University
Press, 2013.
3 N. David Mermin, “Quantum Computer Science: An Introduction”, Cambridge
University Press, 2017.
4 John Gribbin, “Computing with Quantum Cats: From Colossus to Qubits”, Third
Edition, 2023.
5 William Easttom, “Quantum Computing Fundamentals”, Addison-Wesley
Professional, 2021.

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 3 3 1 - - - - - - - 1 - 3 -
CO2 3 3 3 1 - - - - - - - 1 - 3 -
CO3 3 3 3 1 2 - - - - - - 1 - 3 -
CO4 3 3 3 2 2 - - - - - - 1 - 3 -
CO5 3 3 3 2 2 - - - - - - 1 - 3 -
CO 3 3 3 1 2 - - - - - - 1 - 3 -
3-High, 2- Medium, 1-Low

Table of Specifications for End Semester Question Paper

Cognitive Level
Total Total
2 16 Analys
Unit No. and Title
Mark Marks Remembe Understa e (An)
Apply (Ap)
s Qns. Qns. r (Re) nd (Un) Evalua
te (Ev)
Unit-I:
1 either or
Quantum 1 either 2(2)-
2 (16)- - -
Computing Basic or CO1
CO1
Concepts
1(2)-
Unit-II: CO2,
1 either 1(2)-
Digital Quantum 2 1 either or -
or CO2
Gates and Circuits (16)-
CO2
Unit-III:
1 either 1(2)- 1(2)- 1 either or
Quantum 2 -
or CO3 CO3 (16)-C03
Programming
UNIT IV: 1 either 1(2)- 1 either or
Quantum 2 1(2)-CO4 -.
or CO4 (16)-CO4
Algorithms
Unit-V:
1 either 2(2)- 1 either or
Quantum 2 - -
or CO5 (16)-C05
Cryptography

B.Tech Information Technology Page 217 of 252

 3(2)
5either 3 either 2 either or
Total Qns. -
10 or 7(2) or (16)
(16)
Total Marks 20 80 14 54 32 -
Weightage 20% 80% 14% 54% 32% -
Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

L T P C
IT22552 SITE RELIABILTY ENGINEERING
2 0 2 3
COURSEOBJECTIVES:
• To understand the core principles and concepts of Site Reliability Engineering.

• To design, build, and maintain highly reliable and available systems through a
combination of theoretical knowledge and hands-on practical experience.
• To apply software engineering practices to infrastructure and operations challenges.

• To use relevant tools for monitoring, alerting, and incident response.

• To use version control systems and collaboration platforms for document management.
UNITI INTRODUCTION TO SRE 6
SRE principles, roles, and responsibilities-Evolution of SRE: From DevOps to SRE.-
Case studies of successful SRE implementations. Monitoring and Observability - Metrics,
logs, and traces for observability- Implementing Prometheus for monitoring.-Building
Grafana dashboards for visualization.
UNIT II SLIs, SLOs, AND SLAs 6
Defining meaningful SLIs and setting quantifiable SLOs-Balancing reliability and feature
development-Creating Service Level Agreements (SLAs) based on SLOs-Incident
Management and Postmortems-Incident response processes and communication-Conducting
blameless postmortems: Analysis and improvements-Learning from failures to prevent
recurrence.
INFRASTRUCTURE AS CODE (IAC)
UNIT III 6
Concepts of IAC and its benefits-Using Terraform for provisioning and managing
infrastructure-Automating configuration management with Ansible- Resilience and
Scalability-Designing for failure: Redundancy and failover strategies-Horizontal and vertical
scaling for optimal –Performance-Implementing auto-scaling in cloud environments.
UNIT IV LOAD BALANCING AND TRAFFIC MANAGEMENT 6
Load balancing strategies and algorithms-Implementing load balancers (software and cloud-
based)-Handling traffic spikes and maintaining high availability. Chaos Engineering and
Testing-Introducing controlled failures using Chaos Engineering. Testing system resilience
and identifying weak points-Tools like Chaos Monkey, Gremlin, and chaos engineering
practices.

B.Tech Information Technology Page 218 of 252

 UNIT V COLLABORATION AND DOCUMENTATION 6
Collaborative documentation with Confluence or Notion-Best practices for effective
teamwork. Cloud-Native SRE Considerations-Microservices architecture and challenges-
Kubernetes for container orchestration and management-Observability in distributed systems.
TOTAL: 30 PERIODS
PRACTICAL EXERCISES
1 Set up Prometheus for collecting basic system metrics.
2 Create simple Grafana dashboards to visualize metrics.
3 Simulate a mock incident and practice incident response.
Set up NGINX as a reverse proxy for load balancing and deploy a sample web
4
application and scale it horizontally.
5
Deploy and manage applications on Kubernetes.
TOTAL :30 PERIODS
COURSE OUTCOMES
On completion of the course, the students will be able to:
CO1: Explain the principles and goals of Site Reliability Engineering.
CO2: Infer Service Level Indicators (SLIs), Objectives (SLOs), and Agreements
CO3: Implement infrastructure automation using IAC tools
CO4: Make use of load balancing, traffic management strategies, collaboration and
documentation.
CO5: Analyse SLIs, SLOs, AND SLAs form balancing reliability and feature
development.
TEXTBOOK:
Niall Richard Murphy, Betsy Beyer, Chris Jones, and Jennifer Petoff, “Site Reliability
1
Engineering: How Google Runs Production Systems", O'Reilly Media, 2016.
Betsy Beyer, Niall Richard Murphy, David K. Rensin and Kent Kawahara, "The Site
2
Reliability Workbook: Practical Ways to Implement SRE", O'Reilly Media,2018.
REFERENCES:
Casey Rosenthal and Nora Jones, "Chaos Engineering: Building Confidence in
1
System Behavior Through Experiments", O′Reilly, 2017.
David N. Blank-Edelman, "Seeking SRE: Conversations About Running Production
2
Systems at Scale", O′Reilly, 2018.
Gene Kim, Kevin Behr, and George Spafford, "The Phoenix Project: A Novel About
3 IT, DevOps, and Helping Your Business Win", Fifth Edition, IT Revolution Press,
2018.
Brendan Burns, Joe Beda and Kelsey Hightower Shroff ,"Kubernetes Up & Running:
4
Dive into the Future of Infrastructure",Third Edition, O'Reilly,2022.
Niall Murphy and David Rensin,” The Site Reliability Workbook: Practical Ways to
5
Implement SRE”, O'Reilly, 2018.

Mapping of Course Outcomes to Program Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 2 2 1 - - - - - - - 1 - 3 -

B.Tech Information Technology Page 219 of 252

 CO2 3 2 2 1 - - - - - - - 1 - 3 -
CO3 3 2 2 1 2 - - - - - - 1 - 3 -
CO4 3 2 2 2 2 - - - - - - 1 - 3 -
CO5 3 2 2 2 2 - - - - - - 1 - 3 -
CO 3 2 2 2 2 - - - - - - 1 - 3 -
3-High, 2- Medium, 1-Low

Table of Specifications for End Semester Question Paper

Cognitive Level
Total Total
2 16 Analys
Unit No. and Title
Mark Marks Remembe Understan Apply e (An)
s Qns. Qns. r (Re) d (Un) (Ap) Evalua
te (Ev)
Unit-I: 1(2)-CO1,
1 either 1(2)-
Introduction to 2 1 either or - -
or CO1
SRE (16)-CO1

Unit-II: 1(2)-CO2,
1 either 1(2)-
SLIs, SLOs and 2 1 either or - -
or CO2
SLAs (16)-CO2
Unit-III:
1 either 1(2)- 1 either or
Infrastructure as 2 1(2)-CO3 -
or CO3 (16)-C03
Code (IAC)
UNIT IV:
1 either
Load Balancing 1 either
2 1(2)-CO4 1(2)-CO4 or -.
or
and Traffic (16)-CO4
Management
Unit-V: 1 either
1 either
Collaboration and 2 1(2)-CO4 1(2)-CO4 or -
or
Documentation (16)-CO4
5(2) 3 either
5either
Total Qns. 2 either or or -
10 or 5(2)
(16) (16)
Total Marks 20 80 10 42 48 -
Weightage 20% 80% 14% 38% 48% -
Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 40 -
Weightage 20% 20% 20% 40% -

B.Tech Information Technology Page 220 of 252

 L T P C
IT22651 EDGE COMPUTING
2 0 2 3
COURSE OBJECTIVES:
• To understand the fundamental concepts of Edge computing , routing and networking
layers.
• To understand the fog topologies in IoT.
• To learn the security issues of protocols in IoT.
• To Understand Raspberry Pi architecture and its components.
• To Work with Raspberry Pi components and evaluate its performance.
UNIT I EDGE COMPUTING DEFINITION AND USE CASES 6
Edge computing purpose and definition, Edge hardware architectures, Operating systems,
Edge platforms Edge Routing and Networking, Edge to Cloud Protocols, Edge computing use
cases.

UNIT II CLOUD AND FOG TOPOLOGIES 6

Cloud services model, Public, private, and hybrid cloud, Constraints of cloud architectures for
IoT, Fog computing- Open Fog reference architecture, Fog topologies, Data Analytics and
Machine Learning- Basic data analytics, Machine learning- Convolutional neural networks,
Recurrent neural networks, IoT data analytics and machine learning comparison.
IOT AND EDGE SECURITY
UNIT III 6
Cybersecurity- Attack and threat terms, definitions of different cyber defense mechanisms and
technologies, Anatomy of IoT cyber-attacks, Physical and hardware security, Cryptography,
Blockchain and cryptocurrencies in IoT, Consortiums and Communities
UNIT IV RASPBERRYPI 6
RaspberryPi: Introduction to RaspberryPi, About the RaspberryPi Board: Hardware Layout
and Pinouts, Operating Systems on RaspberryPi, Configuring RaspberryPi, Programming
RaspberryPi, Connecting Raspberry Pi via SSH, Remote access tools, Interfacing DHT
Sensorwith Pi, Pi as Webserver, Pi Camera, Image & Video Processing using Pi.

UNIT V EDGE COMPUTING WITH RASPBERRYPI 6

Implementation of Microcomputer RaspberryPi and device Interfacing, Edge to Cloud
Protocols. Protocols, MQTT, MQTT publish-subscribe, MQTT architecture details, MQTT
state transitions, MQTTpacket structure, MQTT data types, MQTT communication formats,
MQTT 3.1.1 working example. Edge computing with RaspberryPi, Industrial and Commercial
IoT and Edge, Edge computing and solutions
TOTAL: 30 PERIODS
PRACTICAL EXERCISES
1 Set up various tools to create and manage iofog
2 Deploy micro services and writing your own microservices
3 Setup iofogtcl, common header YAML
4 Implementation of Microservices Development.
5 Deploy and manage real time applications on RASPBERRY Pi.
TOTAL :30 PERIODS
COURSE OUTCOMES
At the end of the course, the student should be able to
CO1: Explain the basics of Edge computing, Edge routing & network layers.

B.Tech Information Technology Page 221 of 252

 CO2: Illustrate the various fog topologies in IoT.
CO3: Identify and address security concerns in IoT protocols.
CO4: Summarize about the Raspberry Pi Architecture.
CO5: Develop real time application with Raspberry Pi devices.
TEXTBOOK:
Perry Lea, “IoT and Edge Computing for Architects Implementing edge and IoT
1 systems from sensors to clouds with communication systems, analytics, and
security”,Second Edition ,Packt Publishing, 2020.
Geng and Hwaiyu. "Internet of Things and Data Analytics in the Cloud with
2 Innovation and Sustainability", John Wiley & Sons, Inc., 2017.

REFERENCES:
K. Anitha Kumari, G. Sudha Sadasivam, D. Dharani and M. Niranjanamurthy, “Edge
1 Computing Fundamentals, Advances and Applications”,CRC Press, 2021.
Rajkumar Buyya and Satish Narayana Srirama , “Fog and Edge Computing: Principles
2 and Paradigms” , Wiley publication, 2019.
Simon Monk, “Raspberry Pi Cookbook, Third Edition, O'Reilly Media, Inc., 2019.
3
Yan Zhang, “Mobile Edge Computing”, 2021.
4
Abhinandan Bhadauria, “Edge Computing with Python”, 2022.
5

Mapping of Course Outcomes to Program Outcomes

PO PSO
Course
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3

CO1 3 3 3 2 2 - - - - 2 2 1 - - 1
CO2 3 3 3 2 2 - - - - 2 2 1 - - 1
CO3 3 3 3 2 2 - - - - 2 2 1 - - 1
CO4 3 3 3 2 2 - - - - 2 2 1 - - 1
CO5 3 3 3 2 2 - - - - 2 2 1 - - 1
CO 3 3 3 2 2 - - - - 2 2 1 - - 1
3-High, 2- Medium, 1-Low

Table of Specification for End Semester Question Paper

Cognitive Level
Total Total
2 16 Analys
Unit No. and Title
Mark Marks Remembe Understa e (An)
Apply (Ap)
s Qns. Qns. r (Kn) nd (Un) Evalua
te (Ev)

B.Tech Information Technology Page 222 of 252

 Unit-I:
1 either or
Edge Computing 1 either 1(2)-
2 (16)- -
Definition and Use or CO2
CO1
Cases
Unit-II: 1 either or
1 either 2(2)-
Cloud and Fog 2 (16)- -
or CO2
Topologies CO2
Unit-III:
1 either 2(2)- 1 either or
IOT and Edge 2 - -
or CO3 (16)-CO3
Security
Unit-IV: 1 either 1 either or
2 2(2)-CO4 -.
RASPBERRYPI or (16)-C04
Unit-V: Edge
1 either 2(2)- 1 either or
Computing with 2 1(2)-CO5 -
or CO5 (16)-CO5
RASPBERRYPI
1(2)
5 either 4 either 1 either or
Total Qns. -
10 or 9(2) or (16)
(16)
Total Marks 20 80 18 66 16 -
Weightage 20% 80% 14% 38% 48% -
Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

L T P C
IT22652 AR/VR MIXED REALITY
2 0 2 3
COURSE OBJECTIVES:
• To introduce the relevance of this course to the existing technology through
demonstrations, case studies and applications with a futuristic vision along
with socio-economic impact and issues.
• To understand virtual reality, augmented reality and using them to build
Biomedical engineering applications.
• To know the intricacies of these platform to develop PDA applications with
better optimality.
UNIT I INTRODUCTION 6

The three I’s of virtual reality-commercial VR technology and the five classic
components of a VR system - Input Devices: (Trackers, Navigation, and Gesture
Interfaces): Three-dimensional position trackers, navigation and manipulation-

B.Tech Information Technology Page 223 of 252

 interfaces and gesture interfaces-Output Devices: Graphics displays-sound displays &
haptic feedback.
UNIT II VR DEVELOPMENT PROCESS 6
Geometric modeling - kinematics modeling- physical modeling - behaviour modeling -
model Management.
UNIT III CONTENT CREATION CONSIDERATIONS FOR VR 6
Methodology and terminology-user performance studies-VR health and safety issues-
Usability of virtual reality system- cyber sickness -side effects of exposures to virtual
reality environment.

UNIT IV VR ON THE WEB & VR ON THE MOBILE 6

JS-pros and cons-building blocks (WebVR, WebGL, Three.js, device orientation
events)- frameworks (A-frame, React VR)-Google VR for Android-Scripts, mobile
device configuration, building to android-cameras and interaction-teleporting-spatial
audio-Assessing human parameters-device development and drivers-Design Haptics.
UNIT V 6
APPLICATIONS
Medical -military applications-robotics applications- Advanced Real time Tracking-
other applications- games, movies, simulations, therapy.
TOTAL: 30 PERIODS
PRACTICAL EXERCISES:

1. Study of tools like Unity, Maya, 3DS MAX, AR toolkit, Vuforia and Blender
Download objects from asset store and apply various lighting and shading
2.
effects.
Model three dimensional objects using various modelling
3.
techniques and apply textures over them.
Create three dimensional realistic scenes and develop simple virtual reality
4.
enabled mobile applications which have limited interactivity.
5. Add audio and text special effects to the developed application
Develop VR enabled applications using motion trackers and
6.
sensors incorporating full haptic interactivity.
i)Develop AR enabled applications with interactivity like E
learning environment, Virtual walkthroughs and visualization of
7. historic places.
ii) Develop simple MR enabled gaming applications.

TOTAL: 30 PERIODS
TOTAL: 60 PERIODS
COURSE OUTCOMES:
At the end of this course, the students will be able to:
Identify problem statements and function as a member of an engineering
CO1: design team.

B.Tech Information Technology Page 224 of 252

 CO2: Utilize technical resources.
Design a system to meet given specifications with realistic engineering
CO3: constraints.

Propose technical documents and oral presentations related to design

CO4:
projects.
CO5: Apply VR in real time applications in the field of gaming and medical.
TEXT BOOKS:
C. Burdea & Philippe Coiffet, “Virtual Reality Technology”, Second Edition,
1.
John Wiley & Sons, Inc.,2018.
Jason Jerald, ”The VR Book: Human-Centred Design for Virtual Reality”,
2. Association for Computing Machinery and Morgan & Claypool, New York,
2015.
REFERENCES:
Dieter Schmalstieg and Tobias Hollerer, “Augmented Reality: Principles and
1.
Practice”, Pearson Education, 2016.
Steve Aukstakalnis, “Practical Augmented Reality: A Guide to the
2. Technologies, Applications, and Human Factors for AR and VR (Usability)”,
Addison-Wesley Professional, 2016.
Robert Scoble and Shel Israel, “The Fourth Transformation: How Augmented
3. Reality & Artificial Intelligence Will Change Everything”, Patrick Brewster
Press, 2016.
Tony Parisi, “Learning Virtual Reality: Developing Immersive Experiences
4.
and Applications for Desktop, Web, and Mobile”, O’Reilly Media, 2015.
Tony Parisi, “Programming 3D Applications with HTML5 and WebGL: 3D
5.
Animation and Visualization for Web Pages”, O'Reilly Media, 2014.
Jos Dirksen, “Learning Three.js: The JavaScript 3D Library for WebGL”,
6.
Second Edition, Packt Publishing, 2015.

Mapping of Course Outcomes to Program Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 1 1 1 - - - - 1 1 1 2 2 - -
CO2 2 3 1 3 1 - - - 3 2 2 3 3 - -
CO3 2 2 3 3 2 - - - 3 1 1 2 1 - -
CO4 2 2 1 2 1 - - - 1 3 2 1 1 - -
CO5 2 3 3 2 1 - - - 3 1 2 1 3 - -
CO 2 2 2 2 1 - - - 2 2 2 2 2 - -
3-High, 2- Medium, 1-Low

B.Tech Information Technology Page 225 of 252

 Table of Specifications for End Semester Question Paper

Cognitive Level
Total
Total 2 Analyse
16
Unit No. and Title Marks Remember Understand Apply (An)
Marks
Qns. (Kn) (Un) (Ap) Evaluate
Qns.
(Ev)
1(2)-CO1
Unit-I: 1 either
2 1(2)-CO1 1 either or - -
Introduction or
(16)-CO1
Unit-II: VR 1(2)-CO2
1 either
Development 2 1(2)-CO2 1 either or - -
or
Process (16) - CO2
Unit-III: Content 1
Creation 1 either 1(2)-CO3 either
2 1(2)-CO3 -
Considerations or or (16)
for VR -CO3
1
Unit-IV: VR on either
1 either
the Web and VR 2 1(2)-CO4 1(2)-CO4 or -
or
on the Mobile (16)-
CO4
1
Unit-V: 1 either 1(2)-CO5 either
2 1(2)-CO5 -
Applications or or (16)
-CO5
5(2)
5 either 3either
Total Qns. 10 5(2) 2 either or -
or or (16)
(16)
Total Marks 20 80 10 42 48 -
Weightage 20% 80% 10% 42% 48% -
Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

PROMPT ENGINEERING L T P C
IT22751
2 0 2 3
COURSE OBJECTIVES:
• To understand of AI prompt engineering

B.Tech Information Technology Page 226 of 252

 • To utilize various techniques and tools in AI prompt engineering
• To design and implement conversational systems, intelligent and user-friendly
chatbot applications.
• To apply AI prompt engineering techniques to various domains.
• To understand advancements in technology and techniques, emerging applications
and use cases
UNIT I INTRODUCTION TO AI PROMPT ENGINEERING 6
Overview of AI prompt engineering - Fundamentals of natural language processing and
machine learning - Historical developments and current state of the field
UNIT II TECHNIQUES AND TOOLS FOR AI PROMPT 6
ENGINEERING
Neural networks and deep learning - Reinforcement learning - Transfer learning and pre-
training - Evaluation and optimization techniques
UNIT III BUILDING INTELLIGENT CHATBOTS
6
Designing conversational systems - Creating chatbot personalities - Handling user input
and providing context-aware responses
UNIT IV APPLICATIONS OF AI PROMPT ENGINEERING
6
Language generation in business and customer service - Language generation in
entertainment and media - Language generation in education and e-learning - Language
generation in healthcare and medicine
UNIT V THE FUTURE OF AI PROMPT ENGINEERING 6
Advancements in technology and techniques - Emerging applications and use cases -
Challenges and opportunities for the field.
TOTAL: 30 PERIODS
LIST OF EXPERIMENTS
Implement a simple text classification task using a machine learning algorithm
1
such as Naive Bayes or Support Vector Machine.
Experiment with NLP techniques such as tokenization, stemming, and tf-idf (term
2
frequency-inverse document frequency) for feature extraction.
Build a simple neural network model using TensorFlow or PyTorch to perform
3
sentiment analysis on a dataset such as IMDb movie reviews.
Implement a basic reinforcement learning algorithm, such as Q-learning or Deep
4 Q-Network (DQN), to train an AI agent to play a text-based game or navigate a
virtual environment.
Implement the conversational system using a chatbot framework or platform like
5
Dialogflow or Rasa.
Create AI prompt engineering systems for generating content in entertainment
6 media such as generating plot summaries, movie scripts, or generating dialogue for
virtual characters.
7 Build language generation models to assist in educational tasks such as generating

B.Tech Information Technology Page 227 of 252

 quiz questions, summarizing educational content, or providing personalized
learning recommendations.
TOTAL: 30 PERIODS
COURSE OUTCOMES:
At the end of the course, the students will be able to:
CO1: Explain the concept of AI prompt engineering.
CO2: Utilize various techniques and tools in AI prompt engineering.
Design and implement conversational systems, intelligent and user-friendly
CO3:
chatbot applications.
CO4: Apply AI prompt engineering techniques to various domains.
Illustrate the advancements in technology and techniques, emerging
CO5:
applications and use cases.
TEXT BOOKS:
Michael Ferguson, “Prompt Engineering ; The Future Of Language
1 Generation”, EPublishing,2023.
James Phoenix and Mike Taylor, “Prompt Engineering for Generative AI”, O'Reilly
2 Media, Inc., 2023.

REFERENCES:
1 Nathan Hunter, “The Art of Prompt Engineering with Chatgpt: A Hands-On
Guide: 3”, EPublishing,2023.
2 Padmaraj Nidagundi, “Prompt Engineering”, EPublishing, 2023.
3 Sabit Ekin,”Prompt Engineering For ChatGPT: A Quick Guide To Techniques,
Tips, And Best Practices”, 2022.
4 Isaac Maxwell, “Prompt Engineering: Techniques, Trends, Challenges,
Opportunities”, EPublishing, 2023.
5 Russel Grant, ”Prompt Engineering and ChatGPT: How to Easily 10X Your
Productivity, Creativity, and Make More Money Without Working Harder”,
EPublishing, 2023.

Mapping of Course Outcomes to Program Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 2 3 - 2 - - - - - - - - 3 -
CO2 3 2 3 - 3 - - - - - - - - 3 -
CO3 3 2 3 - 3 - - - - - - - - 3 -
CO4 3 2 3 - 3 - - - - - - - - 3 -
CO5 3 2 3 - 2 - - - - - - - - 3 -
CO 3 2 3 - 3 - - - - - - - - 3 -
3-High, 2- Medium, 1-Low
B.Tech Information Technology Page 228 of 252
 Table of Specifications for End Semester Question Paper
Cognitive Level
Analyse
Total 2 Total 13 (An)
Unit No. and Title Marks Marks Remember Understand Apply
Evaluat
Qns. Qns. (Re) (Un) (Ap)
e
(Ev)
No. of Qns. (marks) and CO
Unit-I:
Introduction to AI 1 either 1 either or
2 1(2)-CO1 1 (2)- CO1 -
Prompt or (13)- CO1
Engineering
Unit-II:
Techniques and 1 either 1 either or
2 1(2)-CO2 1 (2)- CO2 -
Tools for AI Prompt or (13)- CO2
Engineering
Unit-III:
1 either 1 either or
Building Intelligent 2 2(2)- CO3 1 (2)- CO3 -
or (13)- CO3
Chatbots
Unit-IV:
Applications of AI 1 either 1 either or
2 1(2)-CO4 1 (2)- CO4 -
Prompt or (13)- CO4
Engineering
Unit-V:
The Future of AI 1 either 1 either or
2 2(2)-CO5 1 (2)- CO5 -
Prompt or (13)- CO5
Engineering
3(2) 3 either
5 either
Total Qns. 7(2) 2 either or or -
10 or
(16) (16)
Total Marks 20 80 14 38 48 -

Weightage 20% 80% 14% 38% 48% -

Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

L T P C
IT22752 ROBOTICS PROCESS AUTOMATION
2 0 2 3
COURSE OBJECTIVES:

B.Tech Information Technology Page 229 of 252

 • To understand the basic concepts of Robotic Process Automation.
• To expose to the key RPA design and development strategies and methodologies.
• To learn the fundamental RPA logic and structure.
• To explore the Exception Handling, Debugging and Logging operations in RPA.
• To learn to deploy and Maintain the software bot.
UNIT I INTRODUCTION TO ROBOTIC PROCESS AUTOMATION 6
Emergence of Robotic Process Automation (RPA), Evolution of RPA, Differentiating RPA
from Automation – Benefits of RPA – Application areas of RPA, Components of RPA, RPA
Platforms. Robotic Process Automation Tools – Templates, User Interface, Domains in
Activities, Workflow Files.

UNIT II AUTOMATION PROCESS ACTIVITIES 6

Sequence, Flowchart & Control Flow: Sequencing the Workflow, Activities, Flowchart,
Control Flow for Decision making. Data Manipulation: Variables, Collection, Arguments,
Data Table, Clipboard management, File operations Controls: Finding the control, waiting for
a control, Act on a control, UiExplorer, Handling Events
APP INTEGRATION, RECORDING AND SCRAPING
UNIT III 6
Recording Introduction - Basic and Desktop Recording - Web Recording - Input/Output
Methods - Screen Scraping - Data Scraping - Scraping advanced techniques - Selectors -
Defining and Assessing Selectors - Customization - Debugging - Dynamic Selectors - Partial
Selectors - RPA ChallengeApp Integration, Recording, Scraping, Selector, Workflow
Activities. Recording mouse and keyboard actions to perform operation, Scraping data from
website and writing to CSV. Process Mining.
UNIT IV HANDLING USER EVENTS & ASSISTANT BOTS, EXCEPTION 6
HANDLING
Exception handling, Common exceptions, Logging- Debugging techniques, Collecting crash
dumps, Error reporting. Code management and maintenance: Project organization, Nesting
workflows, Reusability, Templates, Commenting techniques, State Machine.

UNIT V DEPLOYMENT AND MAINTAINING THE BOT 6

Publishing using publish utility, Orchestration Server, Control bots, Orchestration Server to
deploy bots, License management, Creation of Server - Using Server to control the bots -
Creating a provision Robot from the Server - Connecting a Robot to Server - Deploy the Robot
to Server ,Publishing and managing updates. RPA Vendors – Open Source RPA, Future of
RPA.
TOTAL: 30 PERIODS
PRACTICAL EXERCISES
1. Create a Sequence to obtain user inputs display them using a message box
2. Build a process in the RPA platform using UI Automation Activities.
3. Create an automation process using key System Activities, Variables and Arguments.
4. Recording mouse and keyboard actions.
5.
Implement Error Handling in RPA platform.
6. Scraping data from website and writing to CSV.
TOTAL :30 PERIODS

B.Tech Information Technology Page 230 of 252

 COURSE OUTCOMES
At the end of the course, the student should be able to
CO1: Explain the basics of Robotics process automation
CO2: Illustrate the automation process activities
CO3: Implement recording, web scraping and process mining by automation
CO4: Use UIPath Studio to detect, and handle exceptions in automation processes
CO5: Experiment the Robot Deployment.
TEXTBOOK:
Alok Mani Tripathi, “Learning Robotic Process Automation: Create Software robots
1. and automate business processes with the leading RPA tool – UiPath” , Packt
Publishing, 2018.
Tom Taulli , “The Robotic Process Automation Handbook: A Guide to Implementing
2. RPA Systems”, Apress publications, 2020.

REFERENCES:
Frank Casale, Rebecca Dilla, Heidi Jaynes and Lauren Livingston, “Introduction to
1. Robotic Process Automation: a Primer, Institute of Robotic Process Automation”,
Amazon Asia-Pacific Holdings Private Limited, 2018.
Richard Murdoch, “Robotic Process Automation: Guide To Building Software Robots,
2. Automate Repetitive Tasks & Become An RPA Consultant”, Amazon Asia-
Pacific,2020.
A Gerardus Blokdyk, “Robotic Process Automation - A Complete Guide “, 2020.
3.
Srikanth Merianda,”Robotic Process Automation Tools, Process Automation and their
4. benefits: Understanding RPA and Intelligent Automation”, Consulting Opportunity
Holdings LLC, 2018.
Lim Mei Ying, “Robotic Process Automation with Blue Prism Quick Start Guide:
5.
Create software robots and automate business processes”, Packt Publishing, 2018.

Mapping of Course Outcomes to Program Outcomes

PO PSO
Course
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3

CO1 3 3 3 3 3 - - - - 2 2 1 3 3 1
CO2 3 3 3 3 3 - - - - 2 2 1 3 3 1
CO3 3 3 3 3 3 - - - - 2 2 1 3 3 1
CO4 3 3 3 3 3 - - - - 2 2 1 3 3 1
CO5 3 3 3 3 3 - - - - 2 2 1 3 3 1
CO 3 3 3 3 3 - - - - 2 2 1 3 3 1
3-High, 2- Medium, 1-Low

B.Tech Information Technology Page 231 of 252

 Table of Specifications for End Semester Question Paper

Cognitive Level
Total Total
2 16 Analyse
Unit No. and Title
Mark Marks Remembe Understa (An)
Apply (Ap)
s Qns. Qns. r (Kn) nd (Un) Evaluate
(Ev)
Unit-I:
1 either or
Introduction to 1 either 1(2)-
2 (16)- -
Robotic Process or CO2
CO1
Automation
Unit-II: 1 either or
1 either 2(2)-
Automation 2 (16)- -
or CO2
Process Activities CO2
Unit-III: App
Integration, 1 either 2(2)- 1 either or
2 - -
Recording and or CO3 (16)-CO3
Scraping
Unit-IV: Handling
User Events & 1 either 1 either or
2 2(2)-CO4 -.
Assistant Bots, or (16)-C04
Exception Handling
Unit-V:
Deployment and 1 either 2(2)- 1 either or
2 1(2)-CO5 -
Maintaining the or CO5 (16)-CO5
Bot.
1(2)
5 either 3 either 1 either or
Total Qns. -
10 or 9(2) or (16)
(16)
Total Marks 20 80 18 50 32 -
Weightage 20% 80% 14% 38% 48% -
Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

CS22713 L T P C
MODERN APPLICATION DEVELOPMENT
2 0 2 3
COURSEOBJECTIVES:
• Create a deep understanding of how Software and Hardware work together.
• Introduce the students to Flutter.
• Introduce the students to Firebase.
• Help the students to solve real life problems with Data Oriented thinking.

B.Tech Information Technology Page 232 of 252

 • Motivate the students to follow Clean Coding Principles.
UNIT I
Story of Hidden Language 6
Codes and Combinations - Braille and Binary Codes - Anatomy of a Flashlight - Telegraphs
and Relays - Bit by bit by bit - Logic and Switches - A binary adding Machines - Bytes and
Hex - Assemblage of Memory - From Abaci to Chips - ASCII and a cast of Characters - The
Operating System – Languages - High and Low - The Graphical Revolution

UNIT II
Flutter 6
Dart: Syntax Basics - Types – Functions - Control Flow - Error Handling - Classes & Objects
- Class Modifiers – Concurrency - Null Safety - Core Libraries, Flutter: Widgets – Layout -
Assets & Media - Platform Integration
UNIT III
Firebase 6
Introduction - Authentication - Firestore Database –Data Modeling - Storage - Hosting –
Cloud Messaging - Cloud Functions – In App Messaging - Security Rules - Cost Estimation
– Extensions
UNIT IV
Data Management 6
Understand: Emergence of NoSQL – Data Models – Consistency - Map Reduce, Implement:
Key-Value Database – Document Database – Column-Family Database – Graph Database –
Schema Migration – Polyglot Persistence – Choosing Database
UNIT V
Three Layer Architecture 6
Introduction – Paradigm Overview - SOLID Principles – Component Principles –
Architecture – Boundaries – Policy – Business Rules - Clean Architecture - Details

30 PERIODS
PRACTICAL EXERCISES
Study and Installation of Flutter Multi Platform Environment.
1
Develop a Flutter application using Firebase Authentication.
2
Develop a Flutter application that performs CRUD operations with
3 Firestore Database.
Develop a ToDo application with authentication, Firestore, and Image
4 upload.
Develop a Flutter application that persists data using Hive.
5
Mini Project.
6

30 PERIODS

TOTAL: 60 PERIODS
COURSE OUTCOMES:

B.Tech Information Technology Page 233 of 252

 At the end of the course, the students will be able to:
CO1: Create PWA with responsive UI for Mobile view and Desktop view
CO2: Create PWA with Firebase Auth and Firestore
CO3: Create PWA using Flutter deploy using Firebase
CO4: Develop an Architecture for Offline first PWA
CO5: Develop an Offline first PWA with Flutter, Firebase, Hive
TEXT BOOKS:
Robert Cecil Martin, “Clean Architecture: A Craftman’s Guid to Software Structure
1.
and Design”, Pearson Publication, 2017.
Robert Cecil Martin, “Clean Code: A Handbook of Agile Software Craftsmanship”,
2.
Pearson Publication, 2008.
REFERENCES:
1. Martin Fowler, Pramod J. Sadalage, “NoSQL Distilled: A Brief Guide to the Emerging
World of Polyglot Persistence”, Addison-Wesley Professional Publication, 2012.
2. Charles Petzold, “Code: The Hidden Language of computer Hardware and Software”,
Second Edition, Pearson Education, 2022.
3. Documentation of Flutter: docs.flutter.dev
4. Documentation of Dart: dart.dev/guides
5. Documentation of Firebase: firebase.google.com/docs
Mapping of Course Outcomes to Program Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 2 1 1 1 2 - - - - - 1 1 1 - -
CO2 2 1 1 1 2 - - - - - 1 1 1 - -
CO3 2 1 1 1 2 - - - - - 1 1 1 - -
CO4 2 1 1 1 2 - - - - - 1 1 1 - -
CO5 2 1 1 1 2 - - - - - 1 1 1 - -
CO 2 1 1 1 2 - - - - - 1 1 1 - -
3-High, 2- Medium, 1-Low
Table of Specification for End Semester Question Paper
Total 2 Total 16 Cognitive Level
Unit No .and Title Marks Marks Remember Understand Apply Analyse(An)
Qns. Qns. (Kn) (Un) (Ap) Evaluate(Ev)
No.of Qns.(marks) and CO
Unit-I: Story of 2 2(2)-CO1 1 either or - -
1either or
Hidden Language (16)- CO1
Unit-II: Flutter 2 1(2)- CO2 1(2)-CO2 - -
1either or 1 either or
(16)-CO2
Unit-Ill: Firebase 2 1either or 1(2)- CO3 1(2)-CO3 - -

B.Tech Information Technology Page 234 of 252

 1 either or
(16)- CO3
Unit-IV: Data 2 1(2)-CO4 1(2)-CO4, 1 either or -.
1either or
Management (16)- CO4
Unit-V: Three Layer 2 1(2)-CO5 1(2)-CO5, 1 either or -
1either or
Architecture (16)- CO5
Total Qns. 6(2) 4(2) 2 either or -
10 5 either or 3 either or (16)
(16)
Total Marks 20 80 12 56 32 -
Weightage 20% 80% 12% 56% 32% -
Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

OPEN ELECTIVE-SYLLABUS
L T P C
IT22681 DATA SCIENCE USING PYTHON
3 0 0 3
COURSE OBJECTIVES
• To develop a strong understanding of Python basics, including writing their first
programs, working with various data types, expressions, variables, and performing
string operations.
• To be proficient in using Python data structures such as lists, tuples, sets, and
dictionaries, understanding their properties, and knowing when to apply each data
structure in solving different problems.
• To grasp libraries to solve real-world problems.
• Learn how to read and write data from files using Python's file handling capabilities
and the Pandas library.
• To understand the use of python for doing data science projects.
UNITI INTRODUCTION TO PYTHON AND DATA SCIENCE 9
Simple programs: Types-Variables and Expressions - Control Structures-Functions-String
Operations, Sources of Data: Time Series – Transactional Data – Biological Data – Spatial
Data – Social Network Data – Data Evolution
UNIT II PYTHON DATA STRUCTURES 9
Simple Programs: Lists-Tuples-Sets-Dictionaries,Indexing - Naming - Adding & Removing
elements - Operations on Vectors, Functions for vectors
UNIT III PYTHON LIBRARIES 9

B.Tech Information Technology Page 235 of 252

 Numpy arrays -aggregations -computations on arrays -comparisons, masks, boolean logic -
fancy indexing - structured arrays – Pandas for Data manipulation –Dealing with missing
data.
UNIT IV WORKING WITH DATA IN PYTHON 9
Matplotlib - Line plots - Scatter plots - density and contour plots - Histograms - legends -
colors - subplots - text and annotation – three-dimensional plotting.
UNIT V CASE STUDY 9
Predicting price of pre-owned cars, Classifying personal income, predict customer churn for
a telecom company.
TOTAL PERIODS: 45

COURSE OUTCOMES

Upon completion of the course, students will be able to

CO1: Describe the basics of Python.

CO2: Explain python data structures

CO3: Explain the python libraries

CO4: Explore the knowledge and work with data

CO5: Applydata science concepts for case studies

TEXT BOOKS
David Cielen, Arno D. B. Meysman, and Mohamed Ali, “Introducing Data Science”,
1.
Manning Publications, 2016.
Gilbert Strang, "Introduction to Linear Algebra", Fifth Edition,Wellesley-
2.
Cambridge Press, 2016.
REFERENCES

1. Jake VanderPlas, “Python Data Science Handbook”, O’Reilly, 2016.

Allen B. Downey, “Think Stats: Exploratory Data Analysis in Python”, Green Tea
2.
Press, 2014.
Robert S. Witte and John S. Witte, “Statistics”, Eleventh Edition, Wiley
3.
Publications, 2017.
4. Samir Madhavan, “Mastering python for data science”, Packt Publishing Ltd, 2015.
Douglas Montgomery and George Runger, “Applied statistics and probability for
5.
engineers”, Sixth edition, opensource.

B.Tech Information Technology Page 236 of 252

 Mapping of Course Outcomes to Program Outcomes

Course PO PSO
outcomes 3 2 3 - - - - - - - - - - - -
CO1 3 2 3 - - - - - - - - - - - -
CO2 3 2 2 - - - - - - - - - - - -
CO3 3 3 3 1 - - - - - - - - - - -
CO4 3 2 3 1 - - - - - - - - - - -
CO5 3 2 3 1 - - - - - - - - - - -
CO 3 2 3 - - - - - - - - - - - -
3-High, 2- Medium, 1-Low

Table of Specifications for End Semester Question Paper

Unit No. and Total 2 Total 16 Cognitive Level
Title Marks Marks
Qns. Qns. Remember Understand Apply Analyse
(Kn) (Un) (Ap) (An)
Evaluate
(Ev)
Unit-I:
1(2)-CO1,
Introduction 1 either
2 1(2)-CO1 1 either or - -
to Python and or
(16)-CO1
Data Science
Unit-II: 1(2)-CO2, 1
1 either
Python Data 2 1(2)-CO2 either or - -
or
Structures (16)-CO2
Unit-III: 1(2)-CO3, 1
1 either
Python 2 1(2)-CO3 either or - -
or
Libraries (16)-CO3
Unit-IV:
1(2)-CO4 1 either
Working 1 either
2 1(2)-CO4 or (16)- -
With Data in or
CO4
Python
1(2)-CO5,
Unit-V: 1 either 1 either or
2 1(2)-CO5 - -
Case Study or (16)-CO5

5(2)
5 either 1 either
Total Qns. 10 5(2) 3 either or -
or or (16)
(16)
Total Marks 20 80 10 74 16 -
Weightage 20% 80% 10% 74% 16% -
Weightage for Cos
CO1 CO2 CO3 CO4 CO5

B.Tech Information Technology Page 237 of 252

 Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

L T P C
IT22682 INTERNET OF THINGS
3 0 0 3
COURSE OBJECTIVES

• To understand the fundamentals of Internet of Things.

• To know about the components of IoT systems.
• To learn about the basics of IOT-related protocols and technologies.
• To understand data analytics and cloud in the context of IoT.
• To apply the concept of IoT in the real world scenario.
UNIT I INTRODUCTION TO IOT 9
Evolution of Internet of Things – Enabling Technologies – IoT Architectures: oneM2M,
IoT World Forum (IoTWF) and Alternative IoT Models – Simplified IoT Architecture
and Core IoT Functional Stack – Fog, Edge and Cloud in IoT.

UNIT II IOT COMPONENTS 9

Functional Blocks of an IoT Ecosystem – Sensors, Actuators, and Smart Objects – Control
Units - Communication modules (Bluetooth, Zigbee,Wifi, GPS, GSM Modules)

UNIT III IOT PROTOCOLS AND TECHNOLOGIES 9

IOT Protocols - IPv6, 6LoWPAN, MQTT, CoAP - RFID, Wireless Sensor Networks,
BigData Analytics, Cloud Computing, Embedded Systems.

UNIT IV OPEN PLATFORMS AND PROGRAMMING 9

IOT deployment for Raspberry Pi /Arduino platform-Architecture –Programming –
Interfacing – Accessing GPIO Pins – Sending and Receiving Signals Using GPIO Pins –
Connecting to the Cloud.

UNIT V CASE STUDIES AND REAL-WORLD APPLICATIONS 9

Real world design constraints - Applications - Industrial Automation, Smart and
Connected Cities: Layered architecture, Smart Lighting, Smart Parking Architecture and
Smart Traffic Control.

TOTAL PERIODS: 45
COURSE OUTCOMES
Upon completion of the course, students will be able to

CO1: Explain the concept of IoT.

B.Tech Information Technology Page 238 of 252

 CO2: Differentiate the various IoT components and communication modules.

CO3: Explore various communication models and protocols for IoT

CO4: Illustrate portable IoT system using Rasperry Pi/Arduino.

CO5: Extend the IoT concepts in real time scenario.

TEXT BOOKS
David Hanes, Gonzalo Salgueiro, Patrick Grossetete, Rob Barton and
1. Jerome Henry, “IoT Fundamentals: Networking Technologies, Protocols
and Use Cases for Internet of Things”, Cisco Press, 2018.
2. Samuel Greengard, “The Internet of Things”, The MIT Press, 2021.

REFERENCE BOOKS

1. Perry Lea, “Internet of things for architects”, Packt Publishing, 2018.

2. Olivier Hersent, David Boswarthick and Omar Elloumi , “The Internet of

Things - Key applications and Protocols”, Wiley, 2012.
3. David Etter , “IOT (Internet of Things) Programming: A Simple and Fast
Way of Learning”, IOT Kindle Edition.
4. Dieter Uckelmann, Mark Harrison, Michahelles and Florian (Eds),
“Architecting the Internet of Things”, Springer, 2011.
5. ArshdeepBahga and Vijay Madisetti, “Internet of Things – A hands-on
approach”, Universities Press, 2015.

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 2 1 - - - - - - - - - - - -
CO2 3 2 1 - - - - - - - - - - - -
CO3 3 2 1 - 2 - - - - - - - - - -
CO4 3 2 1 - 2 - - - - - - - - - -
CO5 3 2 1 - - - - - - - - - - - -
CO 3 2 1 - 2 - - - - - - - - - -
3-High, 2- Medium, 1-Low

B.Tech Information Technology Page 239 of 252

 Table of Specifications for End Semester Question Paper
Unit No. and Title Total Total Cognitive Level
2 16
Mark Marks Remembe Understan Apply Anal
s Qns. Qns. r (Kn) d (Un) (Ap) yse
(An)
Eval
uate
(Ev)
Unit-I: 2 1 either 2(2)-CO1 1 either or - -
Introduction to IOT or (16)-CO1
Unit-II: 2 1 either 2(2)-CO2 1 either or - -
IOT Components or (16)-CO2
Unit-III: 2 1 either 1(2)-C03 1(2) and - -
IOT Protocols and or 1either or
Technologies (16) -C03
Unit-IV: 2 1 either 1(2)-CO4 1(2) and1 - -.
Open Platforms and or either or
Programming (16)-CO4
Unit-V: 2 1 either 1(2)-CO5 1(2) and1 - -
Case Studies and or either or
Real-World (16)-CO5
Applications
Total Qns. 1either 7 (2) 3 (2) and 5 - -
10 or either or
Total Marks 20 80 14 86 - -

Weightage 20% 80% 14% 86% - -

Weightage for Cos

CO1 CO2 CO3 CO4 CO5

Total Marks 20 20 20 20 20

Weightage 20% 20% 20% 20% 20%

B.Tech Information Technology Page 240 of 252

 OPEN ELECTIVE -II

FRONT END WEB DEVELOPMENT L T P C

IT22781
2 0 2 3
COURSE OBJECTIVES:
• To understand various editors and hosting services for web development.
• To comprehend the structure of HTML documents and the roles of various structural elements.
• To understand different components of Bootstrap.
• To explore CSS values, selectors, and at-rules for styling web pages.
• To gain foundational knowledge of 2D and WebGL Canvas.
6
UNIT I DEVELOPING ENVIRONMENTS
Editors, Hosting Services, Choosing Your Server: IIS, XAMPP, LAMP, MEAN/MERN/MEVN, Django,
Setting Up Your Server: Connecting to a Remote Machine, Connecting Locally, Port Forwarding, Using
a Domain Name, FTP.

UNIT II HYPER TEXT MARKUP LANGUAGE 6

Structural Elements: Declaration, Head, Sectioning, iframe, Text Elements: Hyperlink, Formatting,
Orientation, Figure Elements: List, Table, Image, Multimedia, Form Elements: Basics, Generic <input>.

UNIT III BOOTSTRAP 6

Grid Layout, Basic Components, Popup Components, Navigation Components, Grouping Components,
Button Components, Form Components, Waiter Components.

UNIT IV CASCADING STYLE SHEET 6

Values, Selectors, at-rules, Text Properties, Graphic Properties, List and table properties, Box model
properties, Animation properties, Responsive Web Design.

UNIT V 2D & WEBGL CANVAS 6

2D Canvas: Outlining, Painting, Text, Images, Advanced Techniques, Libraries, WebGL Canvas: The
Shading Language, 2D Drawing.
TOTAL: 30 PERIODS
LIST OF EXPERIMENTS
1 Install XAMPP and host a simple "Hello World" web page locally.
2 Design an Interactive Multimedia Web Page using HTML.
3 Design a user registration form using form elements and basic <input> types.
4 Apply CSS selectors and properties to style text, images, and tables.
5 Create a web page showcasing box model properties like margin, padding, and border.
6 Use HTML5 Canvas to draw shapes and add an image.

TOTAL: 30 PERIODS
TOTAL (T+P) = 60 PERIODS
COURSE OUTCOMES

B.Tech Information Technology Page 241 of 252

 At the end of the course, the students will be able to
CO1: Summarize the features and functionalities of various editors and hosting services.
CO2: Develop web pages with rich text, multimedia, hyperlink and form elements.
CO3: Explain Bootstrap components for dynamic web interfaces.
CO4: Apply responsive web designs using advanced CSS properties.
CO5: Develop graphics using Canvas for outlining, painting, and rendering text and images.
TEXT BOOKS
Laurence Svekis, “Front-End Web Development with Modern HTML, CSS, and
1
JavaScript”, Twenty Second Edition, Vitalsource Technologies Inc., 2022.
Jennifer Niederst Robbins, “Learning Web Design - A Beginner’s Guide to HTML,
2
CSS, JavaScript and Web Graphics”, Fifth Edition, O’Reilly, 2018.
REFERENCES
1 Prem Kumar, “Web Design with HTML &amp; CSS: HTML &amp; CSS Complete
Beginner’s Guide”, Notion Press, 2021.
2 Riaz Ahmed, “Full Stack Web Development For Beginners: Learn Ecommerce
Web Development Using HTML5, CSS3, Bootstrap, JavaScript, MySQL, and
PHP”, 2021.
3 Thomas Powell, “HTML &amp; CSS: The Complete Reference”, Fifth Edition,
McGraw Hill Education, 2017.
4 Laura Lemay, Rafe Colburn, Jennifer Kyrnin, “Mastering HTML, CSS &amp; Java
Script Web Publishing”, Fifth Edition, BPB Publications, 2016.
5 Ben Frain, “Responsive Web Design with HTML5 and CSS”, Packt Publishing,
Fourth Edition, 2022.

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 3 3 2 3 - - - - - - 1 - - -

CO2 3 3 3 2 3 - - - - - - 1 - - -

CO3 3 3 3 2 3 - - - - - - 1 - - -

CO4 3 3 3 2 3 - - - - - - 1 - - -

CO5 3 3 3 3 - 2 - 3 - - - 1 - - -

CO 3 3 3 2 3 2 - 3 - - - 1 - - -
3-High, 2- Medium, 1-Low

Table of Specifications for End Semester Question Paper

B.Tech Information Technology Page 242 of 252

 Cognitive Level
Analyse
Total 2 Total 16 (An)
Unit No. and Title Marks Marks Remember Understand Apply
Evaluat
Qns. Qns. (Kn) (Un) (Ap)
e
(Ev)
No. of Qns. (marks) and CO
Unit I: 2 1 either 2(2)- CO1 1 either or -
Developing or (16)-CO1 -
Environments
Unit II: 2 1 either 1(2)- CO2 1(2)- CO2 1 either or
Hyper Text Markup or (16)-CO2 -
Language
Unit III: 2 1 either 2(2)-C03 1 either or -
-
Bootstrap or (16)- C03
Unit IV: 2 1 either 1(2)-CO4 1(2)-CO4 1 either or
Cascading Style or (16)- CO4 -
Sheet
Unit v: 2 1 either 2 (2)-CO5 1 either or -
2D & WebGL or (16)-CO5 -
Canvas
Total Qns. 5 either 2(2) 2 either or
10 or 8(2) 3 either or (16) -
(16)
Total Marks 20 80 16 52 32 -
20% 80% 16% 52% 32%
Weightage -
Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

IT22782 INTRODUCTION TO DEVOPS L T P C

2 0 2 3
COURSE OBJECTIVES
• To introduce the basic concepts of DevOps in a simple and structured way.
• To understand version control using Git with minimal technical complexity.
• To gradually learn Continuous Integration, Testing, and Deployment processes.
• To explore cloud-based DevOps tools like Azure DevOps.
• To provide hands-on practice in configuration management using Ansible.
UNIT I INTRODUCTION TO DEVOPS AND VERSION CONTROL 6
Introduction to DevOps: Basic concepts and importance. - Agile Development Model:
Simple explanation with examples. - Introduction to cloud platforms: AWS, GCP, Azure

B.Tech Information Technology Page 243 of 252

 (basic overview). - Version Control Systems: Git and GitHub (basic operations like clone,
commit, push).
UNIT II BUILD TOOLS AND DEPENDENCY MANAGEMENT 6
Introduction to Build Tools: Why they are used. - Maven: Installation and setup. - Basic
operations: compiling, packaging, and testing. - Managing dependencies with Maven (step-
by-step). - Gradle: Installing Gradle and building simple applications.
UNIT III CONTINUOUS INTEGRATION WITH JENKINS 6
Introduction to Jenkins: Overview and use cases. - Jenkins Setup: Creating and configuring
jobs with simple examples. - Adding and using plugins (e.g., Git Plugin). - Automating
builds: Using Jenkins with Git and Maven.
UNIT IV TESTING AND CONFIGURATION MANAGEMENT 6
Basics of Testing: Different types of testing with simple examples. - Introduction to
Selenium: Overview of Selenium and its key features. - Running basic automated tests. -
Configuration Management: Introduction to Ansible. - Writing simple Ansible playbooks to
automate tasks.
UNIT V DEVOPS PIPELINE USING AZURE 6
Setting up GitHub: Creating repositories and pushing code. - Introduction to Azure DevOps:
Setting up Azure organizations and creating pipelines. - Building and deploying sample code
using Azure DevOps. - Modifying azure-pipelines.yaml for automation.
TOTAL: 30 PERIODS
LIST OF EXPERIMENTS
1 Create and manage a GitHub repository.
2 Build a simple application using Maven.
3 Run basic tests using Selenium.
4 Set up and configure a Jenkins CI pipeline.
5 Create and deploy an Azure DevOps pipeline for a sample application.
6 Write an Ansible playbook to set up a basic web application infrastructure.
7 Use Ansible roles to organize playbooks effectively.
TOTAL: 30 PERIODS
TOTAL (T+P) = 60 PERIODS
COURSE OUTCOME
CO1: Explain basic DevOps concepts and version control tools.
CO2: Describe the process of building and managing dependencies using Maven and
Gradle.
CO3: Demonstrate simple CI/CD tasks with Jenkins
CO4: Apply Ansible for basic testing and configuration management.
CO5: Demonstrate cloud-based DevOps tools using Azure DevOps pipelines.
CO6: Develop and deploy automated software solutions by integrating GitHub, Maven,
Selenium, Jenkins, Azure DevOps, and Ansible.
TEXT BOOKS:
1. Gene Kim, Patrick Debois, John Willis, Jez Humble, “The DevOps Handbook: How
to Create World-Class Agility, Reliability, & Security in Technology
Organizations”, Second Edition , IT Revolution Press,2021.
2. Mikael Krief, “Learning DevOps: Continuously Deliver Better Software”, Packt
Publishing, 2019.
REFERENCES
1. Jez Humble, David Farley, “Continuous Delivery: Reliable Software Releases
through Build, Test, and Deployment Automation”, Addison-Wesley,2010.

B.Tech Information Technology Page 244 of 252

 2. John Arundel and Justin Domingus, “Cloud Native DevOps with Kubernetes:
Building, Deploying, and Scaling Modern Applications in the Cloud", Second
Edition, O'Reilly Media, 2023.
3. Joakim Verona, “Practical DevOps", Second Edition, Packt Publishing,2018.
4. Jeff Geerling, “Ansible for DevOps: Server and Configuration Management for
Humans”, Second Edition, Midwestern Mac, LLC,2020.
5. Jennifer Davis, Katherine Daniels, “Effective DevOps: Building a Culture of
Collaboration, Affinity, and Tooling at Scale”, O'Reilly Media,2016.

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 2 1 3 - 3 - - - - - - - - - -
CO2 2 2 3 - 3 - - - - - - - - - -
CO3 2 2 3 - 3 - - - - - - - - - -
CO4 2 1 3 - 3 - - - - - - - - - -
CO5 2 2 3 - 3 - - - - - - - - - -
CO6 2 2 3 - 3 - - - - - - - - - -
CO 2 2 3 - 3 - - - - - - - - - -
3-High, 2- Medium, 1-Low

Table of Specifications for End Semester Question Paper

Cognitive Level
Analyse
Total 2 Total 16 (An)
Unit No. and Title Marks Marks Remember Understand Apply
Evaluat
Qns. Qns. (Re) (Un) (Ap)
e
(Ev)
No. of Qns. (marks) and CO
Unit I:
1 (2)- CO1
Introduction to 1 either
2 1(2)-CO1 1 either or - -
Devops and Version or
(16)- CO1
Control
Unit II:
1 (2)- CO2
Build Tools and 1 either
2 1(2)-CO2 1 either or - -
Dependency or
(16)- CO2
Management
Unit III:
1 (2)- CO3
Continuous 1 either
2 1(2)- CO3 1 either or - -
Integration with or
(16)- CO3
Jenkins
Unit IV: 1 either 1 either or
2 1(2)-CO4 1 (2)- CO4 -
Testing and or (16)- CO4

B.Tech Information Technology Page 245 of 252

 Configuration
Management
Unit V: 1 either 1 either or
2 1(2)-CO5 1 (2)- CO5 -
Advanced CSS or (16)- CO5
5(2) 2 either
5 either
Total Qns. 5(2) 3 either or or -
10 or
(16) (16)
Total Marks 20 80 10 58 32 -

Weightage 20% 80% 10% 58% 32% -

Weightage for Cos
CO1 CO2 CO3 CO4 CO5
Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

OPEN ELECTIVE -III

L T P C
INTRODUCTION TO MOBILE APPLICATION
IT22783
DEVELOPMENT 3 0 0 3

COURSE OBJECTIVES

• To develop applications for emerging mobile computing devices, performing tasks

at all stages of the software development life-cycle.
• To be aware of Characteristics of mobile applications
• To understand the User-interface design methods.
• To implement and deploy simple mobile applications
• To understand the basics of networking and multimedia services.
UNIT I INTRODUCTION TO ANDROID 9
Mobile Application Development - Mobile Applications and Device Platforms - Alternatives for
Building Mobile Apps -Comparing Native vs. Hybrid Applications -The Mobile Application
Development Lifecycle-The Mobile Application Front-End-The Mobile Application Back-EndKey
Mobile Application Services-What is Android-Android version history-Obtaining the Required
Tools- Launching Your First Android Application-Exploring the IDE-Debugging Your Application-
Publishing Your Application

UNIT II ACTIVITIES, FRAGMENTS, AND INTENTS 9

Understanding Activities-Linking Activities Using Intents-Fragments-Displaying Notifications-

Understanding the Components of a Screen-Adapting to Display Orientation-Managing Changes to
Screen Orientation- Utilizing the Action Bar-Creating the User Interface Programmatically
Listening for UI Notifications

B.Tech Information Technology Page 246 of 252

 UNIT III USER INTERFACE WITH VIEWS 9

Using Basic Views-Using Picker Views -Using List Views to Display Long Lists-Understanding
Specialized Fragments - Using Image Views to Display Pictures -Using Menus with Views-Using
Web View- Saving and Loading User Preferences-Persisting Data to Files-Creating and Using
Databases.

UNIT IV CONTENT PROVIDERS AND MESSAGING 9

Sharing Data in Android-Creating Your Own Content Providers -Using the Content Provider. SMS
Messaging -Sending Email-Displaying Maps- Getting Location Data- Monitoring a Location.

UNIT V NETWORKING AND DEVELOPING ANDROID SERVICES 9

Consuming Web Services Using HTTP-Consuming JSON Services- Creating Your Own Services -
Binding Activities to Services -Understanding Threading.

TOTAL PERIODS: 45
COURSE OUTCOMES
Upon completion of the course, students will be able to

CO1: Explain the technology and software development life-cycle

CO2: Develop Mobile Application of Activities, Fragments and Intents connectivity.

CO3: Develop Mobile Application of User Interface With Views Connectivity

CO4: Develop Mobile Application of content providing and messaging

Deploy mobile applications using an android and upload the developed App it into
CO5: the web.

TEXT BOOKS
Jerome DiMarzio, “Beginning Android Programming with Android Studio”, Fourth
1. Edition, John Wiley Wrox Pr Inc, 2017.

Neil Smyth, “Android Studio 4.0 Development Essentials - Java Edition”,

2. Payload Media Inc., 2020.

REFERENCE BOOKS

1
Dawn Griffiths, David Griffiths, “Head First Android Development: A Brain-
Friendly Guide”, Second Edition, O'Reilly, 2017.
2.
Neil Smyth,“Android Studio 3.0 Development Essentials: Android”, Eighth
Edition, CreateSpace, 2017.
3.
Pradeep Kothari, “Android Application Development (With Kitkat Support)”,
Black Book, Dreamtech Press, 2014.

4. http://www.tutorialspoint.com/android/index.htm

B.Tech Information Technology Page 247 of 252

 5. http://developer.android.com/index.html.

Mapping of Course Outcomes to Programme Outcomes

Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 2 1 - 3 1 - - 1 - - - - - -
CO2 3 2 2 - 3 1 - - 1 - - - - - -
CO3 3 3 3 - 3 1 - - 1 - - - - - -
CO4 3 3 3 - 3 1 - - 1 - - - - - -
CO5 3 3 3 - 3 1 - - 1 - - - - - -
CO 3 3 3 - 3 1 - - 1 - - - - - -
3-High, 2- Medium, 1-Low
Table of Specifications for End Semester Question Paper
Unit No. and Title Total Total 16 Cognitive Level
2 Marks
Mark Qns. Remember Understan Apply Analyse
s (Kn) d (Un) (Ap) (An)
Qns. Evaluate
(Ev)
Unit I: Introduction to 2 1 either 1(2)- CO1 1(2)-CO1, - -
Android or 1either or
(16)-CO1

Unit II: 2 1 either 1(2)- CO2 1(2)-CO2, - -

Activities, Fragments, or 1 either or
And Intents (16)-CO2

Unit III: 2 1 either 2(2)-C03 1 either or -

User Interface with or (16)- C03
Views
Unit IV: 2 1 either 1(2)-CO4 - - .
Content Providers and or 1(2)-CO4,
Messaging 1 either or
(16)- CO4
Unit V: 2 1 either 2(2)-CO5 1 either or - -
Networking and or (16)-CO5
Developing Android
Services
Total Qns. 5 either 3(2), - -
10 or 7(2) 5 either or
(16)
Total Marks 20 80 14 86 - -

Weightage 20% 80% 14% 86% - -

Weightage for Cos

B.Tech Information Technology Page 248 of 252

 CO1 CO2 CO3 CO4 CO5

Total Marks 20 20 20 20 20

Weightage 20% 20% 20% 20% 20%

MULTI VARIATE DATA ANALYTICS L T P C

IT22784
2 0 2 3
COURSE OBJECTIVES:
• To introduce the basics of multivariate analysis, its trends, concepts, techniques, and
classification.
• To learn about preparing for multivariate analysis, including understanding big data
challenges, examining data, handling missing data, and testing assumptions.
• To learn how to apply Exploratory Factor Analysis to simplify data and interpret
underlying patterns.

• To learn latent variable techniques like CFA, SEM, mediation, moderation,

longitudinal studies, and Bayesian inference.
• To learn advanced multivariate techniques like multiple discriminant analysis,
logistic regression, and cluster analysis to analyze complex data.
UNIT I INTRODUCTION 6
Overview of Multivariate Methods- What is Multivariate Analysis? Three converging
trends, Basic concepts of Multivariate Analysis, Managing the Multivariate Model,
Classification of Multivariate techniques, Types of Multivariate techniques.

UNIT II PREPARING FOR MULTIVARIATE ANALYSIS 6

The challenge of Big Data Research efforts- Preliminary examination of the Data -
Approaches for dealing with missing data – Testing the assumptions of multivariate analysis.

UNIT III EXPLORATORY FACTOR ANALYSIS 6

Factor Analysis Decision Process - objectives, Designing, Assumptions, Deriving Factors
and Assessing overall Fit, interpreting the Factors, Validation, Data Reduction.

UNIT IV LATENT VARIABLE TECHNIQUES 6

Confirmatory Factor Analysis, Structural equation modelling: Mediation models,
Moderation models, Conditional processes, longitudinal studies, latent growth model,
Bayesian inference.

UNIT V ADVANCED MULTIVARIATE TECHNIQUES 6

Multiple Discriminant Analysis, Logistic Regression, Cluster Analysis.

B.Tech Information Technology Page 249 of 252

 TOTAL: 30 PERIODS
LIST OF EXPERIMENTS
1 Exploration of data sets and characteristics in PYTHON.
2 Implementation of dependent and interdependence techniques in PYTHON.
3 Explore scope of multivariate analytics in different applications using PYTHON.
4 Implementation of factor analysis in PYTHON .
5 Interpreting and validating factor analysis in PYTHON.
6 Implementation of cluster analysis in PYTHON.
7 Interpretation and validation of cluster analysis in PYTHON.
TOTAL: 30 PERIODS
TOTAL (T+P) = 60 PERIODS
COURSE OUTCOMES
At the end of the course, the students will be able to

CO1: Explain basics of multivariate analysis, including its trends, concepts, and
techniques.
Demonstrate big data challenges, examine data, address missing data, and test
CO2:
assumptions for multivariate analysis.
CO3: Apply exploratory factor analysis to simplify data and interpret factors.
CO4: Describe latent variable techniques for complex data relationships.
Apply techniques like Discriminant Analysis, Logistic Regression, and Cluster
CO5:
Analysis.
TEXT BOOKS
Joseph F. Hair Jr., William C. Black, Barry J. Babin, Rolph E. Anderson,
1
“Multivariate Data Analysis”, Eighth edition, Cengage, 2019.
Daniel J. Denis, “Applied Univariate, Bivariate, and Multivariate Statistics
2
Using Python - A Beginner's Guide to Advanced Data Analysis”, Wiley, 2021.
REFERENCES
1 Richard A Johnson and Dean W.Wichern, “Applied Multivariate Statistical
Analysis”, Prentice Hall, New Delhi, 2005.
2 David R Anderson, Dennis J Seveency, and Thomas A Williams, “Statistics for
Business and Economics”, Thompson, Singapore, 2002.
3 Barbara G. Tabachnick, Linda S.Fidell, “Using Multivariate Statistics”, Sixth
Edition, Pearson, 2012.
4 Klaus Backhaus, Bernd Erichson, Sonja Gensler, Rolf Weiber, Thomas Weiber
“Multivariate Analysis: An Application-Oriented Introduction”, Second
Edition, Springer, 2023.
5 R. Shanthi, “Multivariate Data Analysis using Spss And Amos”, MIP
Publisher,2019.

Mapping of Course Outcomes to Programme Outcomes

B.Tech Information Technology Page 250 of 252

 Course PO PSO
outcomes 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3
CO1 3 3 3 1 2 - - - 2 - - - - - -

CO2 3 3 3 2 1 - - - - - - - - - -

CO3 3 3 3 2 3 - - - 2 - - - - - -

CO4 3 3 3 2 1 - - - - - - - - - -

CO5 3 3 3 2 3 - - - 2 - - - - - -

CO 3 3 3 2 2 - - - 2 - - - - - -
3-High, 2- Medium, 1-Low

Table of Specifications for End Semester Question Paper

Cognitive Level
Analyse
Total 2 Total 16 (An)
Unit No. and Title Marks Marks Remember Understand Apply
Evaluat
Qns. Qns. (Kn) (Un) (Ap)
e
(Ev)
No. of Qns. (marks) and CO
1(2)-CO1
Unit I: 1 either
2 1(2)-CO1 1 either or - -
Introduction or
(16)- CO1
Unit II:
1(2)- CO2
Preparing for 1 either
2 1(2)-CO2 1 either or - -
Multivariate or
(16)- CO2
Analysis
Unit III: 1(2)-CO3
1 either
Exploratory Factor 2 1(2)- CO3 1 either or - -
or
Analysis (16)- CO3
Unit IV:
1 either 1 either or
Latent Variable 2 2(2)-CO4 - -
or (16)- CO4
Techniques
UNIT V:
1(2)-CO5
Advanced 1 either
2 1(2)-CO5 1 either or - -
Multivariate or
(16)- CO5
Techniques
4(2)
5 either
Total Qns. 6(2) 5 either or - -
10 or
(16)
Total Marks 20 80 12 88 - -

Weightage 20% 80% 12% 88% - -

Weightage for Cos
CO1 CO2 CO3 CO4 CO5

B.Tech Information Technology Page 251 of 252

 Total Marks 20 20 20 20 20
Weightage 20% 20% 20% 20% 20%

B.Tech Information Technology Page 252 of 252