AC 11.5.

2017

Item No. 4.180

UNIVERSITYOFMUMBAI

Revised syllabus (Rev- 2016) from Academic Year 2016 -17

Under
FACULTY OF TECHNOLOGY
Information Technology
Second Year with Effect from AY 2017-18

Third Year with Effect from AY 2018-19

Final Year with Effect from AY 2019-20

As per Choice Based Credit and Grading System

with effect from the AY 2016–17

Co-ordinator, Faculty of Technology’s Preamble:
To meet the challenge of ensuring excellence in engineering education, the issue of quality needs to be
addressed, debated and taken forward in a systematic manner. Accreditation is the principal means of quality
assurance in higher education. The major emphasis of accreditation process is to measure the outcomes of the
program that is being accredited. In line with this Faculty of Technology of University of Mumbai has taken a
lead in incorporating philosophy of outcome based education in the process of curriculum development.

Faculty of Technology, University of Mumbai, in one of its meeting unanimously resolved that, each Board of
Studies shall prepare some Program Educational Objectives (PEO’s) and give freedom to affiliated Institutes to
add few (PEO’s). It is also resolved that course objectives and course outcomes are to be clearly defined for
each course, so that all faculty members in affiliated institutes understand the depth and approach of course to
be taught, which will enhance learner’s learning process. It was also resolved that, maximum senior faculty
from colleges and experts from industry to be involved while revising the curriculum. I am happy to state that,
each Board of studies has adhered to the resolutions passed by Faculty of Technology, and developed
curriculum accordingly. In addition to outcome based education, semester based credit and grading system is
also introduced to ensure quality of engineering education.

Choice based Credit and Grading system enables a much-required shift in focus from teacher-centric to learner-
centric education since the workload estimated is based on the investment of time in learning and not in
teaching. It also focuses on continuous evaluation which will enhance the quality of education. University of
Mumbai has taken a lead in implementing the system through its affiliated Institutes and Faculty of Technology
has devised a transparent credit assignment policy and adopted ten points scale to grade learner’s performance.
Credit assignment for courses is based on 15 weeks teaching learning process, however content of courses is to
be taught in 12-13 weeks and remaining 2-3 weeks to be utilized for revision, guest lectures, coverage of
content beyond syllabus etc.

Choice based Credit and grading system is implemented from the academic year 2016-17 through optional
courses at department and institute level. This will be effective for SE, TE and BE from academic year 2017-
18, 2018-19 and 2019-20 respectively.

Dr. S. K. Ukarande

Co-ordinator,

Faculty of Technology,

Member - Academic Council

University of Mumbai, Mumbai

University of Mumbai, B. E. (Information Technology), Rev 2016 2

Preamble
It is an honor and a privilege to present the revised syllabus of Bachelor of Engineering in Information
Technology (effective from year 2016-17) with inclusion of cutting edge technology.
Information Technology is comparatively a young branch among other engineering disciplines in the University
of Mumbai. It is evident from the placement statistics of various colleges affiliated to the University of Mumbai
that IT branch has taken the lead in the placement. The branch also provides multi-faceted scope like better
placement and promotion of entrepreneurship culture among students, and increased Industry Institute
Interactions.
Industries views are that, only 16 % graduates are directly employable. One of the reasons is a syllabus which is
not in line with the latest technologies. Our team of faculties has tried to include all the latest technologies in the
syllabus. Also the first time we are giving the choice of elective from fifth semester such that students will be
master in one of the IT domain.
The syllabus is peer reviewed by experts from reputed industries and as per their suggestions it covers future
trends in IT technology and research opportunities available due to these trends.
I would like to thank senior faculties of IT department of all colleges affiliated to Mumbai University for
significant contribution in framing the syllabus. Also behalf of all faculties I thank all the industry experts for
their valuable feedback and suggestions.
I sincerely hope that the revised syllabus will help all graduate engineers to face the future challenges in the
field of information and technology

Program Outcome for graduate Program in Information Technology

1. Apply Core Information Technology knowledge to develop stable and secure IT system.
2. Design, IT infrastructures for an enterprise using concepts of best practices in information
Technology management and security to enterprise processes.
3. Manage IT projects using written and oral communication skills in collaborative environments by
Participating on teams that address solutions for IT management challenges.
4. Identify and discuss professional, individual, organizational, societal, and regulatory implications of
Information systems and technology.
5. Assess Security of the IT Systems and able to respond to any breach in IT system
6. Ability to work in multidisciplinary projects and make it IT enabled.
7. Ability to propose the system to reduce carbon footprint.
8. Ability to adapt the lifelong learning process to be in sync with trends in Information Technology

Dr. Deven Shah

Chairman (Ad-hoc Board Information Technology)

University of Mumbai)

University of Mumbai, B. E. (Information Technology), Rev 2016 3

 University of Mumbai

Program Structure B.E. Information Technology, (Rev. 2016)

T. E. Information Technology (Semester-V)

Teaching Scheme
Credits Assigned
Course Course (Contact Hours)
Code N a me TW/
Theory Pract Tut Theory Tut Total
Pract
Microcontroller and
ITC501 4 - - 4 - - 4
Embedded Programming
ITC502 Internet Programming 4 - - 4 - - 4
Advanced Data Management
ITC503 4 - - 4 - - 4
Technology
Cryptography & Network
ITC504 4 - - 4 - - 4
Security

Department Level
ITDLO-I 4 - - 4 - - 4
Optional Course-I

ITL501 Internet Programming Lab - 2 - - 1 1

ITL502 Security Lab - 2 - - 1 - 1

ITL503 OLAP Lab - 2 - - 1 - 1
ITL504 IOT (Mini Project) Lab - 2 - - 1 - 1
Business Communication
ITL505 - 2+2* - - 2 - 2
and Ethics
Total - -
20 14 20 7 26

Examination Scheme
Course Course
Theory
Code Name Internal Assessment End Exam Oral &
TW Total
Sem. Duration Oral Pract
Test 1 Test 2 Avg. ( in Hrs)
Exam
Microcontroller and
ITC501 20 20 20 80 3 - - 100
Embedded Programming

ITC502 Internet Programming 20 20 20 80 3 - - 100

Advanced Data Management
ITC503 20 20 20 80 3 - - 100
Technology
Cryptography & Network
ITC504 20 20 20 80 3 - - 100
Security
Department Level
ITDLO-I 20 20 20 80 3 -- - 100
Optional Course-I
--
ITL501 Internet Programming Lab - - - - - 25 25 50

ITL502 Security Lab - - - - - 25 25 -- 50

ITL503 OLAP Lab 25 25 --
- - - - - 50

University of Mumbai, B. E. (Information Technology), Rev 2016 75

ITL504 IOT (Mini Project) Lab - - - - - 25 25 -- 50
Business Communication --
ITL505 - - - - - 50 -- 50
and Ethics
Total 100 100 100 400 - 150 75 25 750
# Department Level Optional Course (DLO)

Every student is required to take one Department Elective Course for Semester V. Different
sets of courses will run in both the semesters. Students can take these courses from the list of
department electives, which are closely allied to their disciplines.

(DLO-I subjects will have no Labs only Theory)

Subject Code Department Level Optional Course

(DLO)

Semester V

ITDLO5011 Advanced Data Structures & Analysis of Algorithms

ITDLO5012 Image Processing

ITDLO5013 E-Commerce & E-Business

ITDLO5014 IT Enabled Services

ITDLO5015 Computer Graphics & Virtual Reality

University of Mumbai, B. E. (Information Technology), Rev 2016 76

Course Course Name Theory Practical Tutorial Theory Oral & Tutorial Total
Code Practical
Microcontroller 04 -- 04 -- -- 04
ITC501 and Embedded
Programming

Examination Scheme

Theory Marks
Course
Course Name Internal assessment
Code End Term Oral &
Oral Total
Avg. of Sem. Work Practical
Test1 Test2 two Exam
Tests

Microcontroller
ITC501 and Embedded 20 20 20 80 -- -- -- 100
Programming
Course Objectives: Students will try to learn:

1. The concepts and architecture of embedded systems

2. Basic of microcontroller 8051.
3. The concepts of microcontroller interface.
4. The concepts of ARM architecture
5. The concepts of real-time operating system
6. Different design platforms used for an embedded systems application

Course Outcomes: Students will be able to:

1. Explain the embedded system concepts and architecture of embedded systems

2. Describe the architecture of 8051 microcontroller and write embedded program for 8051
microcontroller.
3. Design the interfacing for 8051 microcontroller.
4. Understand the concepts of ARM architecture.
5. Demonstrate the open source RTOS and solve the design issues for the same.
6. Select elements for an embedded systems tool.

Prerequisite: COA, Microprocessors and Assembly Programming languages

Detailed syllabus:

Sr. Module Detailed Content Hours CO

No. Mapping

0 Prerequisite Revision of microcomputer system 02

terminologies, High level, Machine level
and Assembly level programming
language , difference between
microprocessor and microcontroller

University of Mumbai, B. E. (Information Technology), Rev 2016 77

 I Introduction to Overview of Embedded System 05 CO1
Embedded Architecture, Application areas,
systems Categories of embedded systems,
specialties of embedded systems.
Recent trends in embedded systems.
Brief introduction to embedded
microcontroller cores CISC, RISC,
ARM, DSP and SoC.
II The Introduction to 8051 Microcontroller, 14 CO2
Microcontroller Architecture, Pin configuration, Memory
Architecture and organization, Input /Output Ports,
Counter and Timers, Serial
Programming of
communication, Interrupts.
8051: Instruction set, Addressing modes,
Development tools, Assembler
Directives, Programming based on
Arithmetic & Logical
Operations, I/O parallel and serial ports,
Timers & Counters, and ISR.
III Interfacing with Interfacing ADC, DAC, Stepper motor, 06 CO3
8051Microcontr LCD, KBD matrix, 8255 PPI
oller
IV ARM 7 Architectural inheritance, Detailed study 10 CO4
Architecture of Programmer’s model, ARM
Development tools, Instruction set: Data
processing, Data
Transfer, Control flow. Addressing
modes. Writing simple assembly
language programs. Pipelining, Brief
introduction to exceptions and interrupts
handling.
V Open source Basics of RTOS: Real-time concepts, 07 CO5
RTOS Hard Real time and Soft Real-time,
differences between general purpose OS
& RTOS, basic architecture of an RTOS,
scheduling systems, inter-process
communication, performance Matrix in
scheduling models, interrupt
management in RTOS environment,
memory management, file systems, I/O
systems, advantage and disadvantage of
RTOS. POSIX standards, RTOS issues –
selecting a Real Time Operating System,
RTOS comparative study.

VI Introduction to Introduction to Arduino, Raspberry Pi, 08 CO6

Embedded target ARM Cortex, Intel Galileo etc. Open-
boards source prototyping platforms. Basic
Arduino programming; Extended
Arduino libraries; Arduino-based Internet
communication; Raspberry pi; ARM
University of Mumbai, B. E. (Information Technology), Rev 2016 78
 Cortex Processors; Intel Galileo boards;
Sensors and Interfacing: Temperature,
Pressure, Humidity

Text Books:
1. M. A. Mazidi, J. G. Mazidi, R. D., McKinlay ,”The 8051 microcontroller & Embedded systems
Using Assembly and C”, Pearson, 3rd edition
2. Embedded / real – time systems: concepts, design & programming, Black Book, Dr. K.
V. K. K. Prasad, Dreamtech press, Reprint edition 2013
3. Shibu K. V., “Introduction to embedded systems”, McGraw Hil

References:
1. Laya B. Das, “Embedded systems an integrated approach”, Pearson, Third impression, 2013
2. Steve Furber, “ARM System on chip Architecture”, Pearson, edition second
3. Michael Margolis, “Arduino Cookbook”, O’reilly
4. Simon Monk,” Raspberry Pi Cookbok”, O’reilly
5. Raspberry Pi User Guide.
6. Massimo Banzi, “Getting Started with Arduino: The Open Source Electronics Prototyping
Platform (Make)”, O'Reilly Media.

Assessment:

Internal Assessment for 20 marks:

Consisting of Two Compulsory Class Tests
Approximately 40% to 50% of syllabus content must be covered in First test and remaining 40% to
50% of syllabus contents must be covered in second test.

End Semester Examination: Some guidelines for setting the question papers are as:
 Weightage of each module in end semester examination is
expected to be/will be proportional to number of respective lecture
hours mentioned in the syllabus.
 Question paper will comprise of total six questions, each
carrying 20 marks.
 Q.1 will be compulsory and should cover maximum contents of
the syllabus.
 Remaining question will be mixed in nature (for example if Q.2
has part (a) from module 3 then part (b) will be from any other
module. (Randomly selected from all the modules.)
 Total four questions need to be solved.

University of Mumbai, B. E. (Information Technology), Rev 2016 79

Course Course Name Theory Practical Tutorial Theory Oral & Tutorial Total
Code Practical
ITC502 Internet 04 -- -- 04 -- -- 04
Programming

Examination Scheme

Theory Marks
Course
Course Name
Code Internal assessment End Term Oral &
Oral Total
Sem. Work Practical
Avg. of
Test1 Test2 Exam
two Tests

ITC502 Internet
Programming 20 20 20 80 -- -- -- 100

Course Objectives: Students will try to learn:

1 To get familiar with basics of the Internet Programming.

2. To acquire knowledge and skills for creation of web site considering both client and server side
programming
3. To gain ability to develop responsive web applications
4. To explore different web extensions and web services standards
5. To learn characteristics of RIA –Web Mashup Eco System
6. To be familiarized with Python web framework-Django.

Course Outcomes: Students will be able to:

1. Implement interactive web page(s) using HTML,CSS and JavaScript.
2. Design a responsive web site using HTML5 and CSS3.
3. Demonstrate Rich Internet Application .
4. Build Dynamic web site using server side PHP Programming and Database connectivity.
5. Describe and differentiate different Web Extensions and Web Services.
6. Demonstrate web application using Python web Framework-Django

Prerequisite: Basic Java Programming and Python Programming.

University of Mumbai, B. E. (Information Technology), Rev 2016 80

Detailed syllabus:

Sr. Module Detailed Content Hours CO

No. Mapping

0 Prerequisite Introduction to web technologies: 02 ---

Introduction to OSI layers,

I Client Side Basic of HTML: Web System 09 CO1

Programming architecture-1,2,3 and n tier
:HTML, CSS and architecture, URL, domain name
JavaScript system, overview of HTTP and FTP,
Cross browser compatibility issues,
W3C Validators.
Formatting and Fonts, Anchors,
images, lists, tables, frames and
forms.
Introduction to CSS: Evolution of
CSS, Syntax of CSS, Exploring CSS
Selectors, Inserting CSS in an
HTML
Document, Defining Inheritance in
CSS.
Introduction to JavaScript:
JavaScript language constructs,
Objects in JavaScript- Built in,
Browser objects and DOM objects,
event handling, form validation and
cookies.
II HTML5 and HTML 5 : Fundamental Syntax and 12 CO1
Responsive Web Semantics, Native Audio and Video,
Design with CSS3 Micro data and Custom data, CO2
Accessibility, Geo-location, Canvas
CSS3 and Responsive Web Design
Media Queries: Supporting Differing
Viewports, Embracing Fluid Layout.
CSS3: Selectors, Typography and
color Modes, Stunning Aesthetics
with CSS3, CSS3 Transitions,
Transformations and Animations,
Conquer Forms HTML5 and CSS3
III Rich Internet Characteristics of RIA, 09 CO3
Application(RIA) Introduction to AJAX :AJAX
design basics, AJAX vs Traditional
Approach, , Rich User Interface
using Ajax.
Working with JavaScript Object
Notation(JSON): Create data in
JSON format, JSON Parser .

University of Mumbai, B. E. (Information Technology), Rev 2016 81

 Web Mashup Eco Systems –Mashup
Techniques: Mashing on the Web
Server, Mashing with JSON
IV Server Side Introduction to PHP- Data types, 08 CO4
Programming: control structures, built in functions,
PHP Building web applications using
PHP- tracking users, PHP and Mysql
database connectivity with example.
Introduction to PHP Framework.

V Web Extensions Web Extensions: Introduction to 07 CO5

and Web Services XML, Introducing XSL.
Web services: Evolution and
differences with Distributed
computing, WSDL, SOAP, UDDI.
REST-ful web services, Resource
Oriented Architecture
VI Python Web Introduction, Web Frameworks, 05 CO6
Framework: Introduction to Django ,Projects and
Django Apps, “Hello World” Application.

Text Books:

1. HTML 5 Black Book: Kogent Learning solutions

2. “Learning PHP 5”, David Sklar, O’Reilly Publication
3. Rich Internet Application AJAX and Beyond WROX press
4. Responsive Web Design with HTML5 and CSS3, Ben Frain, PACKT Publication
References:
1. “Web Technologies: Black Book”, Dreamtech publication
2. HTML5 Cookbook, By Christopher Schmitt, Kyle Simpson, O'Reilly Media
3. Core Python Applications Programming by Wesley J Chun Third edition Pearson Publication
4. Advanced Internet Technologies (includes practicals), Deven Shah, Dreamtech publication

Assessment:

Internal Assessment for 20 marks:

Consisting of Two Compulsory Class Tests
Approximately 40% to 50% of syllabus content must be covered in First test and remaining 40% to
50% of syllabus contents must be covered in second test.

End Semester Examination: Some guidelines for setting the question papers are as:
 Weightage of each module in end semester examination is
expected to be/will be proportional to number of respective lecture
hours mentioned in the syllabus.
 Question paper will comprise of total six questions, each
carrying 20 marks.
 Q.1 will be compulsory and should cover maximum contents of
the syllabus.
 Remaining question will be mixed in nature (for example if Q.2
has part (a) from module 3 then part (b) will be from any other
module. (Randomly selected from all the modules.)
 Total four questions need to be solved.

University of Mumbai, B. E. (Information Technology), Rev 2016 82

Course Code Course Name Theory Practical Tutorial Theory Oral & Tutorial Total
Practical
ITC503 Advanced 04 -- -- 04 -- -- 04
Data
Management
Technology

Examination Scheme

Theory Marks
Course
Course Name
Code Internal assessment End Term Oral &
Oral Total
Sem. Work Practical
Avg. of
Test1 Test2 Exam
two Tests

ITC503 Advanced
Data
20 20 20 80 -- -- -- 100
Management
Technology

Course Objectives: Students will try to learn:

1. To introduce advanced concepts of transaction management and recovery techniques.

2. To impart knowledge related to query processing and query optimizer phases of a database
management system
3. To introduce concepts of advanced access control techniques like role based and discretionary
methods
4. To introduce advanced database models like distributed databases.
5. To impart an overview of emerging data models like temporal, mobile and spatial databases.
6. To create awareness of how enterprise can organize and analyze large amounts of data by
creating a Data Warehouse.

Course Outcomes: Students will be able to:

1. Explain and understand the concept of a transaction and how ACID properties are
maintained when concurrent transaction occur in a database
2. Measure query costs and design alternate efficient paths for query execution.
3. Apply sophisticated access protocols to control access to the database.
4. Implement alternate models like Distributed databases and Design applications using
advanced models like mobile, spatial databases.
5. Organize strategic data in an enterprise and build a data Warehouse.
6. Analyze data using OLAP operations so as to take strategic decisions.

Prerequisite: Database Management System.

University of Mumbai, B. E. (Information Technology), Rev 2016 83

Detailed syllabus:

Sr. Module Detailed Content Hours CO

No. Mapping

0 Prerequisites Reviewing basic concepts of a 02

Relational database, SQL concepts

I Query Processing Overview, Measures of Query Cost 06 CO1

and Optimization: Selection Operation, Sorting, Join
Operation, Other Operations
Evaluation of Expressions.
Query Optimization Overview,
Transformation of Relational
Expressions Estimating Statistics of
Expression Results Choice of
Evaluation Plans

II Transactions Transaction concept, Transaction 10 CO2

Management and states, ACID properties,
Concurrency: Implementation of atomicity and
durability, Concurrent Executions,
Serializability, Recoverability,
Implementation of isolation,
Concurrency Control: Lock-based,
Time-stamp based Deadlock
handling, Recovery System: Failure
Classification, Storage structure,
Recovery & atomicity, Log based
recovery, Checkpoints, Shadow
Paging, ARIES Algorithm.

III Advanced Data Advanced Database Access protocols: 09 CO3

Management Discretionary Access Control Based
techniques on Granting and Revoking Privileges; CO4
Mandatory Access Control and Role-
Based Access Control.
Overview of Advanced Database
models like Mobile databases,
Temporal databases, Spatial databases.

IV Distributed Introduction : Distributed Data 09 CO4

Databases Processing, What is a Distributed
Database System? Design Issues .
Distributed DBMS Architecture.
Distributed Database Design : Top-Down
Design Process, Distribution Design
Issues, Fragmentation , Allocation .
Overview of Query Processing : Query
Processing Problem, Objectives of Query
Processing, Complexity of Relational
Algebra Operations, Characterization of
Query Processors, Layers of Query
Processing, Query Optimization in
Distributed Databases;
University of Mumbai, B. E. (Information Technology), Rev 2016 84
 Overview of Transaction Management in
DDB;
Overview of Concurrency Control in
DDB;
Overview of Recovery in DDB

V Data Warehousing, The Need for Data Warehousing; Data 10 CO5

Dimensional Warehouse Defined; Benefits of Data
Modeling and Warehousing ; Features of a Data
OLAP Warehouse; Data Warehouse
Architecture; Data Warehouse and
Data Marts; Data Warehousing Design
Strategies.
Dimensional Model Vs ER Model;
The Star Schema; How Does a Query
Execute? The Snowflake Schema;
Fact Tables and Dimension Tables;
Factless Fact Table; Updates To
Dimension Tables, Primary Keys,
Surrogate Keys & Foreign Keys;
Aggregate Tables; Fact Constellation
Schema or Families of Star
Need for Online Analytical
Processing; OLTP vs OLAP; OLAP
Operations in a cube: Roll-up, Drill-
down, Slice, Dice, Pivot ; OLAP
Models: MOLAP, ROLAP, HOLAP.

VI ETL Process Challenges in ETL Functions; Data 06 CO6

Extraction; Identification of Data
Sources; Immediate Data Extraction,
Deferred Data Extraction; Data
Transformation: Tasks Involved in
Data Transformation, Techniques of
Data Loading, Loading the Fact
Tables and Dimension Tables

Text Books:
1. Korth, Slberchatz,Sudarshan, :”Database System Concepts”, 6th Edition, McGraw – Hill
2. Elmasri and Navathe, “Fundamentals of Database Systems”, 6th Edition, PEARSON
Education.
3. Theraja Reema, “Data Warehousing”, Oxford University Press, 2009.
4. Raghu Ramakrishnan and Johannes Gehrke, “Database Management Systems” 3rd Edition -
McGraw Hill

References:

University of Mumbai, B. E. (Information Technology), Rev 2016 85

 1. Paulraj Ponniah, “Data Warehousing: Fundamentals for IT Professionals”, Wiley India.
2. Hector Garcia-Molina, Jeffrey D. Ullman, Jennifer Widom “Database System
Implementation”, Pearson Ltd. 1/ e
3. Thomas M. Connolly Carolyn Begg, Database Systems : A Practical Approach to Design,
Implementation and Management, 4/e, Pearson Ltd.
4. Ralph Kimball, Margy Ross, “The Data Warehouse Toolkit: The Definitive Guide To
Dimensional Modeling”, 3rd Edition. Wiley India.
5. Han, Kamber, "Data Mining Concepts and Techniques", Morgan Kaufmann 3nd Edition.

Assessment:

Internal Assessment for 20 marks:

Consisting of Two Compulsory Class Tests
Approximately 40% to 50% of syllabus content must be covered in First test and remaining 40% to
50% of syllabus contents must be covered in second test.

End Semester Examination: Some guidelines for setting the question papers are as:
 Weightage of each module in end semester examination is
expected to be/will be proportional to number of respective lecture
hours mentioned in the syllabus.
 Question paper will comprise of total six questions, each
carrying 20 marks.
 Q.1 will be compulsory and should cover maximum contents of
the syllabus.
 Remaining question will be mixed in nature (for example if Q.2
has part (a) from module 3 then part (b) will be from any other
module. (Randomly selected from all the modules.)
 Total four questions need to be solved.

University of Mumbai, B. E. (Information Technology), Rev 2016 86

Course Code Course Name Theory Practical Tutorial Theory Oral & Tutorial Total
Practical
Cryptography 04 -- -- 04 -- -- 04
ITC504 & Network
Security

Examination Scheme

Theory Marks
Course
Course Name
Code Internal assessment End Term Oral &
Oral Total
Sem. Work Practical
Test Avg. of
Test2 Exam
1 two Tests

Cryptography
ITC504 & Network 20 20 20 80 -- -- -- 100
Security
Course Objectives: Students will try to learn:

1. The concepts of classical encryption techniques and concepts of finite fields and
number theory.
2. And explore the working principles and utilities of various cryptographic algorithms
including secret key cryptography, hashes and message digests, and public key
algorithms
3. And explore the design issues and working principles of various authentication
protocols, PKI standards.
4. And explore various secure communication standards including Kerberos, IPsec, and
SSL/TLS and email.
5. The ability to use existing cryptographic utilities to build programs for secure
communication.
6. The concepts of cryptographic utilities and authentication mechanisms to design secure
applications

Course Outcomes: Students will be able to:

1. Identify information security goals, classical encryption techniques and acquire
fundamental knowledge on the concepts of finite fields and number theory.
2. Understand, compare and apply different encryption and decryption techniques to solve
problems related to confidentiality and authentication
3. Apply the knowledge of cryptographic checksums and evaluate the performance of
different message digest algorithms for verifying the integrity of varying message sizes
4. Apply different digital signature algorithms to achieve authentication and create secure
applications
5. Apply network security basics, analyze different attacks on networks and evaluate the
performance of firewalls and security protocols like SSL, IPSec, and PGP.
6. Apply the knowledge of cryptographic utilities and authentication mechanisms to
design secure applications

Prerequisite: Computer Networks

University of Mumbai, B. E. (Information Technology), Rev 2016 87

Detailed syllabus:

CO
Sr No Module Detailed Content Hours
Mapping

0 Prerequisites Basic concepts of OSI Layer 02 --

Services, Mechanisms and attacks-the OSI

security architecture-Network security
model-Classical Encryption techniques
Introduction
(Symmetric cipher model, mono-alphabetic
I & Number 09 CO1
and poly-alphabetic substitution techniques:
Theory
Vignere cipher, playfair cipher, Hill cipher,
transposition techniques: keyed and keyless
transposition ciphers, steganography).

Data Encryption Standard-Block cipher

principles-block cipher modes of operation-
Advanced Encryption Standard (AES)-Triple
DES-Blowfish-RC5 algorithm.
Block CO2
II Ciphers & Public key cryptography: Principles of public 09
key cryptosystems-The RSA algorithm, The CO6
Public Key
Cryptography knapsack algorithm, El-Gamal Algorithm.
Key management – Diffie Hellman Key
exchange

Cryptographi Authentication requirement – Authentication

c Hashes, function , Types of Authentication, MAC –
Message Hash function – Security of hash function and
III 09 CO3
Digests and MAC –MD5 – SHA – HMAC – CMAC,
Digital
Certificates Digital Certificate: X.509, PKI

Digital
Digital signature and authentication protocols
signature
: Needham Schroeder Authentication
IV schemes and 07 CO4
protocol, Digital Signature Schemes – RSA,
authenticatio
EI Gamal and Schnorr, DSS.
n Protocols

Network security basics: TCP/IP

vulnerabilities (Layer wise), Packet Sniffing,
ARP spoofing, port scanning, IP spoofing,
Network TCP syn flood, DNS Spoofing. Denial of
V 10 CO5
Security Service: Classic DOS attacks, Source
Address spoofing, ICMP flood, SYN flood,
UDP flood, Distributed Denial of Service,
Defenses against Denial of Service Attacks.

University of Mumbai, B. E. (Information Technology), Rev 2016 88

 Firewalls, Intrusion Detection Systems: Host
Based and Network Based IDS, Honey pots.

Authentication Applications, Kerberos,

Network CO5
Internet Security Protocols: SSL, TLS,
VI Security 06
IPSEC:AH, ESP, Secure Email: PGP and CO6
Applications
S/MIME, Key Management.

Text Books:

1. Mark Stamp’s Information Security Principles and Practice, Wiley

2. William Stallings, Cryptography and Network Security, Principles and Practice, 6th Edition,
Pearson Education, March 2013
3. Behrouz A. Ferouzan, “Cryptography & Network Security”, Tata Mc Graw Hill
4. Bernard Menezes, “Cryptography & Network Security”, Cengage Learning

Reference Books:

1. Applied Cryptography, Protocols Algorithms and Source Code in C, Bruce Schneier, Wiley.
2. Cryptography and Network Security, Atul Kahate, Tata Mc Graw Hill.

Assessment:

Internal Assessment for 20 marks:

Consisting of Two Compulsory Class Tests
Approximately 40% to 50% of syllabus content must be covered in First test and remaining 40% to
50% of syllabus contents must be covered in second test.

End Semester Examination: Some guidelines for setting the question papers are as:
 Weightage of each module in end semester examination is
expected to be/will be proportional to number of respective lecture
hours mentioned in the syllabus.
 Question paper will comprise of total six questions, each
carrying 20 marks.
 Q.1 will be compulsory and should cover maximum contents of
the syllabus.
 Remaining question will be mixed in nature (for example if Q.2
has part (a) from module 3 then part (b) will be from any other
module. (Randomly selected from all the modules.)
 Total four questions need to be solved.

University of Mumbai, B. E. (Information Technology), Rev 2016 89

Course Course Name Theory Practical Tutorial Theory TW Tutorial Total
Code /Practical
ITL501 Internet -- 2 -- -- 1 -- 1
Programming
Lab

Examination Scheme

Theory Marks
Course
Course Name Oral & Practical
Code Internal assessment End Term
Total
Sem. Work
Test Avg. of
Test 2 Exam
1 two Tests

ITL501 Internet
Programming
-- -- -- -- 25 25 50
Lab

Lab Objectives: Students will try:

1. To Acquire knowledge and Skills for creation of Web Site considering both client- and server-side
Programming.
2. To create Web application using tools and techniques used in industry.
3. To learn the characteristics of RIA
4. To Demonstrate Amazon/Google or Yahoo mashup
5. To be well versed with XML and web services Technologies.
6. To be familiarized with open source Frameworks for web development.

Lab Outcomes: Students will learn to;

1. Design a basic web site using HTML5 and CSS3 to demonstrate responsive web design.
2. Implement dynamic web pages with validation using JavaScript objects by applying different
event handling mechanism.
3. Use AJAX Programming Technique to develop RIA
4. Develop simple web application using server side PHP programing and Database
Connectivity using MySQL.
5. Build well-formed XML Document and implement Web Service using Java.
6. Demonstrate simple web application using Python Django Framework.

University of Mumbai, B. E. (Information Technology), Rev 2016 90

Hardware and Software requirements:

Hardware Requirements Software Requirements Other Requirements

PC With following 1. Windows or Linux Desktop OS 1. Internet Connection

Configuration installation of web
2. HTML5 compatible web frameworks
1. Intel Core i3/i5/i7 browsers(Chrome, Opera,
Processor Firefox, Safari etc)

2. 4 GB RAM 3. HTML,CSS editors like

Dreamweaver, Notepad++ etc.
3. 500 GB Harddisk
4. Netbeans or Eclipse IDE

5. XAMPP

Prerequisite: Basics of Java and Python Programming

Guidelines
1. The mini project work is to be conducted by a group of three students

2. Each group will be associated with a subject Incharge/ mini project mentor. The group should meet
with the concerned faculty during Laboratory hours and the progress of work discussed must be
documented.

3. The students may do will visit different websites to identify their website topic for the mini project.

4. Each group will identify the Hardware and software requirement for their mini project problem
statement.

5. Mini Project consists of Responsive Website Development.

6. Which includes following points

a. Introduction to RWD frame work?

b. Identify tools

c. CSS preprocessor

d. Construction and design of skeleton for website

e. Enhancing CSS3 and HTML5 in website

f. Server Side Programming: website using server side scripting in PHP and database
connectivity using MySQL (PHP framework like Laravel/Joomla can be used)

g. XML ,XSL and Web Services

University of Mumbai, B. E. (Information Technology), Rev 2016 91
 h. Developing RIA using AJAX including -A browser built-in XMLHttpRequest object (to
request data from a web server) and JavaScript and HTML DOM (to display or use the
data) Building Amazon/Yahoo /Google Web Mashups for the website.

i. Website Security

j. Develop full website and launch it.

7. Each group may present their work in various project competitions and paper presentations.

8. A detailed report is to be prepared as per guidelines given by the concerned faculty.

Text Books:
1. Responsive Web Design by Example Beginner's Guide by Thoriq Firdaus, PACKT
2. Responsive Web Design with HTML5 and CSS3 PACKT
3. Professional Rich Internet Application : AJAX and Beyond WROX press

References:
1. Laravel: Up and Running, By Matt Stauffer O'Reilly Media.
2. Advanced Internet Technologies (includes practicals) ,Deven Shah ,Dreamtech publication
3. Django By Example By Antonio Melé,Pakt Publication

Term Work:
Term Work shall consist of full Mini Project on above guidelines/syllabus. Also Term work Journal
must include at least 2 assignments.
Term Work Marks: 25 Marks (Total marks) = 15 Marks (Mini Project) + 5 Marks (Assignments) + 5
Marks (Attendance)

Oral Exam: An Oral exam will be held based on the Mini Project and Presentation.

University of Mumbai, B. E. (Information Technology), Rev 2016 92

 Course Course Name Theory Practical Tutorial Theory TW /Practical Tutorial Total
Code
ITL502 Security Lab -- 2 - -- 1 - 1

Examination Scheme
Course Course Theory Marks Oral &
Code Name Internal assessment Term Practical
End Sem. Oral Total
Avg. of Work
Test1 Test2 Exam
two Tests
ITL502
Security -- -- -- -- 25 -- 25 50
Lab

Lab Objectives: Students will try:

1. To be able to apply the knowledge of symmetric cryptography to implement simple ciphers

2. To be able to analyze and implement public key algorithms like RSA and El Gamal
3. To analyze and evaluate performance of hashing algorithms
4. To explore the different network reconnaissance tools to gather information about networks
5. To explore and use tools like sniffers, port scanners and other related tools for analyzing
packets in a network.
6. To be able to set up firewalls and intrusion detection systems using open source technologies
and to explore email security.
Lab Outcome: Students will learn to:
1. Apply the knowledge of symmetric cryptography to implement simple ciphers
2. Analyze and implement public key algorithms like RSA and El Gamal
3. Analyze and evaluate performance of hashing algorithms
4. Explore the different network reconnaissance tools to gather information about networks
5. Use tools like sniffers, port scanners and other related tools for analyzing packets in a network.
6. Apply and set up firewalls and intrusion detection systems using open source technologies and
to explore email security.

Hardware and Software requirements:

Hardware Requirements Software Requirements

PC With following 1. Windows or Linux Desktop OS

Configuration
2. wireshark
1. Intel Core i3/i5/i7
Processor 3. ARPWATCH

4. Kismet, NetStumbler
2. 4 GB RAM
5. NESSUS
3. 500 GB Harddisk

University of Mumbai, B. E. (Information Technology), Rev 2016 93

Prerequisite: Computer Networks, Operating System, Basics of Java and Python Programming

Detail Syllabus:

Module Description Hours

CO mapping
No.

a) Design and Implementation of a product cipher 4

using Substitution and Transposition ciphers LO1
I
b) Implementation and analysis of RSA
LO2
cryptosystem and Digital signature scheme
using RSA/El Gamal

a) Implementation of Diffie Hellman Key 4

exchange algorithm
b) For varying message sizes, test integrity of LO2
II message using MD-5, SHA-1, and analyse the
performance of the two protocols. Use crypt LO3
APIs
c) Exploring wireless security tools like Kismet,
NetStumbler etc.
a) Study the use of network reconnaissance tools 4
like WHOIS, dig,traceroute, nslookup to gather
information about networks and domain
registrars.
b)Study of packet sniffer tools wireshark, :-
LO4
III 1. Observer performance in promiscuous as well
LO5
as non-promiscuous mode.
2. Show the packets can be traced based on

different filters.

Download and install nmap. 4

IV Use it with different options to scan open ports, LO5

perform OS fingerprinting, do a ping scan, tcp port
scan, udp port scan, etc.

a) Detect ARP spoofing using nmap and/or open 6

source tool ARPWATCH and wireshark.
LO4
V b) Simulate DOS attack using Hping and other
tools LO5
c) Use the NESSUS/ISO Kaali Linux tool to
scan the network for vulnerabilities.

University of Mumbai, B. E. (Information Technology), Rev 2016 94

 a) Set up IPSEC under LINUX. 4
b) Set up Snort and study the logs.
VI LO6
c) Explore the GPG tool of linux to implement
email security

Text Books:

1. Build your own Security Lab, Michael Gregg, Wiley India

2. CCNA Security, Study Guide, TIm Boyles, Sybex
Reference Books:

1. Network Security Bible, Eric Cole, Wiley India

Term Work:
Term Work shall consist of at least 10 to 12 practical’s based on the above list. Also Term work
Journal must include at least 2 assignments.
Term Work Marks: 25 Marks (Total marks) = 15 Marks (Experiment) + 5 Marks (Assignments) + 5
Marks (Attendance)

Oral Exam: An Oral exam will be held based on the above syllabus.

University of Mumbai, B. E. (Information Technology), Rev 2016 95

Course Code Course Theory Practical Tutorial Theory TW/ Tutorial Total
Name Practical
ITL503 OLAP Lab -- 2 -- -- 1 -- 01

Examination Scheme

Theory Marks
Course
Course Name
Code Internal assessment End Term Oral &
Oral Total
Sem. Work Practical
Avg. of
Test Test2 Exam
two Tests

ITL503 OLAP Lab

-- -- -- -- 25 -- 25 50

Lab Objectives: Students will try:

1. To introduce advanced concepts of transaction management and recovery techniques.

2. To impart knowledge related to query processing and query optimizer phases of a database
management system
3. To initiate awareness about the potential security threats that exists in database systems and
how to tackle them.
4. To introduce advanced database models like distributed databases.
5. To impart an overview of emerging data models like temporal, mobile and spatial databases.
6. To create awareness of how enterprise can organize and analyze large amounts of data by
creating a Data Warehouse.

Lab Outcomes: Student should be able:

1. Implement simple query optimizers and design alternate efficient paths for query execution.
2. Simulate the working of concurrency protocols, recovery mechanisms in a database
3. Design applications using advanced models like mobile, spatial databases.
4. Implement a distributed database and understand its query processing and transaction
processing mechanisms
5. Build a data warehouse
6. Analyze data using OLAP operations so as to take strategic decisions.

Hardware and Software requirements:

Hardware Requirements Software Requirements

PC With following 1. ETL tools

Configuration
2. Warehouse tools
1. Intel Core i3/i5/i7
3. Java/Python compiler

University of Mumbai, B. E. (Information Technology), Rev 2016 96

Processor

2. 4 GB RAM

3. 500 GB Harddisk

Prerequisite: DBMS.

Detailed syllabus:

Module Detailed Content Hours CO Mapping

No.
I a) Implementation of any Query 4 LO 2
optimizer (Java/Python)
b) Assignments for query evaluation
path expressions.
II c) Simulation of Concurrency Control 4 LO1
Algorithm, Recovery Algorithm
(Java/Python)
III a) Design of a distributed database for a 4 LO 4
real life application - Fragmentation,
Query Processing
b) Simulation of Recovery methods.
IV Advanced Database Models 4 LO 3
Case study based assignments for
Temporal, Mobile or Spatial databases
V Data Warehouse Construction 6 LO 4
a) Real life Problem to be defined for
Warehouse Design
b) Construction of star schema
c) ETL Operations.
VI OLAP Exercise 4 LO 6
a) Construction of Cubes
b) OLAP Operations, OLAP Queries

Text Books:
1. Elmasri and Navathe, “Fundamentals of Database Systems”, 6th Edition, PEARSON
Education.
2. Theraja Reema, “Data Warehousing”, Oxford University Press, 2009.
3. Data Warehousing, Data Mining, & OLAP by Alex Berson McGraw Hill.

References:
1. Hector Garcia-Molina, Jeffrey D. Ullman, Jennifer Widom “Database System
Implementation”, Pearson Ltd. 1/ e
2. Thomas M. Connolly Carolyn Begg, Database Systems : A Practical Approach to Design,
Implementation and Management, 4/e Pearson Ltd
University of Mumbai, B. E. (Information Technology), Rev 2016 97
 3. Ralph Kimball, Margy Ross, “The Data Warehouse Toolkit: The Definitive Guide To
Dimensional Modeling”, 3rd Edition. Wiley India.

Term Work:
Term Work shall consist of at least 10 to 12 practical’s based on the above list. Also Term work
Journal must include at least 2 assignments.
Term Work Marks: 25 Marks (Total marks) = 15 Marks (Experiment) + 5 Marks (Assignments) + 5
Marks (Attendance)

Oral Exam: An Oral exam will be held based on the above syllabus.

University of Mumbai, B. E. (Information Technology), Rev 2016 98

Course Code Course Theory Practical Tutorial Theory TW/ Tutorial Total
Name Practical
ITL504 IOT (Mini -- 2 -- -- 1 -- 1
Project) Lab

Examination Scheme

Theory Marks
Course
Course Name
Code Internal assessment End Term Oral &
Oral Total
Sem. Work Practical
Avg. of
Test1 Test2 Exam
two Tests

ITL504 IOT (Mini

-- -- -- -- 25 -- 25 50
Project) Lab

Lab Objectives: Students will try to:

1. Address the real world problems and find the required solution.
2. Design the problem solution as per the requirement analysis done.
3. Study the basic concepts of programming/ hardware/ emulator for Raspberry pi/Arduino/
ARM Cortex/ Intel Galileo etc.
4. Fabricate and implement the mini project intended solution for project based learning.
5. Build and test the mini project successfully.
6. Improve the team building, communication and management skills of the students.

Lab Outcomes: Student will be able to:

1. Identify the requirements for the real world problems.
2. Conduct a survey of several available literatures in the preferred field of study.
3. Study and enhance software/ hardware skills.
4. Demonstrate and build the project successfully by hardware requirements, coding, emulating
and testing.
5. To report and present the findings of the study conducted in the preferred domain
6. Demonstrate an ability to work in teams and manage the conduct of the research study.

Guidelines
1. The mini project work is to be conducted by a group of three students

2. Each group will be associated with a subject Incharge/ mini project mentor. The group should meet
with the concerned faculty during Laboratory hours and the progress of work discussed must be
documented.

3. The students may do survey for different application using Raspberry pi/Arduino/ ARM Cortex/
Intel Galileo etc topics for the mini project.
University of Mumbai, B. E. (Information Technology), Rev 2016 99
4. Each group will identify the Hardware and software requirement for their mini project problem
statement.

5. Prototype/Design your own circuit board using Raspberry pi/Arduino/ ARM Cortex/ Intel Galileo
etc.

6. Installation, configure and manage your Raspberry pi/Arduino/ ARM Cortex/ Intel Galileo etc
board/kit.

7. Work with operating system and do coding to for input devices on board.

8. The project assessment for term work will be done at least two times at department level by giving
presentation to panel members which consist of at least three (3) members as Internal examiners
(including the project guide/mentor) appointed by the Head of the department of respective
Programme.

9. Create and interface using Web to publish or remotely access the data on Internet.

10. Each group along with the concerned faculty shall identify a potential problem statement, on which
the study and implementation is to be conducted.

11. Each group may present their work in various project competitions and paper presentations.

12. A detailed report is to be prepared as per guidelines given by the concerned faculty.

Text Books:
1. Massimo Banzi,“Getting Started with Arduino”,O’reilly, 2nd edition
2. Simon Monk,” Raspberry Pi Cookbok”, O’reilly
3. Raspberry Pi User Guide

References:
1. Internet of Things (A Hands-on-Approach) , Vijay Madisetti , Arshdeep Bahga

Term Work:
Term Work shall consist of full Mini Project on above guidelines/syllabus. Also Term work Journal
must include at least 2 assignments.
Term Work Marks: 25 Marks (Total marks) = 15 Marks (Mini Project) + 5 Marks (Assignments) + 5
Marks (Attendance)

Oral Exam: An Oral exam will be held based on the Mini Project and Presentation.

University of Mumbai, B. E. (Information Technology), Rev 2016 100

Course Code Course Name Theory Practical Tutorial Theory TW/ Tutorial Total
Practical
ITL505 Business 2 2* -- -- 2 -- 2
Communication
and Ethics

Examination Scheme

Theory Marks
Course
Course Name Internal assessment
Code End Term Oral &
Oral Total
Avg. of Sem. Work Practical
Test1 Test2 two Exam
Tests

ITL505 Business
Communication -- -- -- -- 50 -- -- 50
and Ethics

* Batch wise practical’s

Pre-requisite
 Communication Skills

Course Objective: Students will try:

1. To inculcate professional and ethical attitude at the workplace
2. To enhance effective communication and interpersonal skills
3. To build multidisciplinary approach towards all life tasks
4. To hone analytical and logical skills for problem-solving

Course Outcomes: Students will learn to:

1. Design a technical document using precise language, suitable vocabulary and apt style.
2. Develop the life skills/ interpersonal skills to progress professionally by building stronger
relationships.
3. Demonstrate awareness of contemporary issues knowledge of professional and ethical
responsibilities.
4. Apply the traits of a suitable candidate for a job/higher education, upon being trained in the
techniques of holding a group discussion, facing interviews and writing resume/SOP.
5. Deliver formal presentations effectively implementing the verbal and non-verbal skills.

University of Mumbai, B. E. (Information Technology), Rev 2016 101

 Module Detailed Contents Hrs.

01 Report Writing 05

1.1 Objectives of Report Writing

1.2 Language and Style in a report

1.3 Types : Informative and Interpretative (Analytical, Survey and

Feasibility)and Formats of reports (Memo, Letter, Short and Long
Report )

02 Technical Writing 03

2.1 Technical Paper Writing (IEEE Format)

2.2 Proposal Writing

03 Introduction to Interpersonal Skills 08

3.1 Emotional Intelligence

3.2 Leadership and Motivation

3.3 Team Building

3.4 Assertiveness

3.5 Conflict Resolution and Negotiation Skills

3.6 Time Management

3.7 Decision Making

04 Meetings and Documentation 02

4.1 Strategies for conducting effective meetings

4.2 Notice, Agenda and Minutes of a meeting

4.3 Business meeting etiquettes

05 Introduction to Corporate Ethics 02

5.1 Professional and work ethics (responsible use of social media -

Facebook, WA, Twitter etc.)

5.2 Introduction to Intellectual Property Rights

5.4 Ethical codes of conduct in business and corporate activities (Personal

ethics, conflicting values, choosing a moral response and

making ethical decisions)

06 Employment Skills 06

University of Mumbai, B. E. (Information Technology), Rev 2016 102

 6.1 Group Discussion

6.2 Resume Writing

6.3 Interview Skills

6.4 Presentation Skills

6.5 Statement of Purpose

26

1. Report Writing (Theory)

2. Technical Proposal
3. Technical Paper Writing (Paraphrasing a published IEEE Technical Paper )
4. Interpersonal Skills (Group activities and Role plays)
5. Interpersonal Skills (Documentation in the form of soft copy or hard copy)
6. Meetings and Documentation (Notice, Agenda, Minutes of Mock Meetings)
7. Corporate ethics (Case studies, Role plays)
8. Writing Resume and Statement of Purpose

1. Term Work:
2. Term work shall consist of all assignments from the list. The distribution of marks for term
3. work shall be as follows:
4. Book Report………………………………………………..(10) Marks
5. Assignments ……………………………………………… (10) Marks
6. Project Report Presentation……………………………….. (15) Marks
7. Group Discussion.………………………………………… (10) Marks
8. Attendance …………………………………………………(05) Marks
9. TOTAL: ……………………………………………………(50) Marks

The final certification and acceptance of term work ensures the satisfactory performance of
work assigned and minimum passing in the term work.

References
1. Fred Luthans, “Organizational Behavior”, McGraw Hill, edition
2. Lesiker and Petit, “Report Writing for Business”, McGraw Hill, edition
3. Huckin and Olsen, “Technical Writing and Professional Communication”, McGraw Hill

University of Mumbai, B. E. (Information Technology), Rev 2016 103

 4. Wallace and Masters, “Personal Development for Life and Work”, Thomson Learning, 12th
edition
5. Heta Murphy, “Effective Business Communication”, Mc Graw Hill, edition
6. Sharma R.C. and Krishna Mohan, “Business Correspondence and Report Writing”, Tata
McGraw-Hill Education
7. Ghosh, B. N., “Managing Soft Skills for Personality Development”, Tata McGraw Hill.
Lehman,
8. Dufrene, Sinha, “BCOM”, Cengage Learning, 2nd edition
9. Bell, Smith, “Management Communication” Wiley India Edition, 3rd edition.
10. Dr. Alex, K., ”Soft Skills”, S Chand and Company
11. Subramaniam, R., “Professional Ethics” Oxford University Press.
12. Robbins Stephens P., “Organizational Behavior”, Pearson Education
13. https://grad.ucla.edu/asis/agep/advsopstem.pdf

University of Mumbai, B. E. (Information Technology), Rev 2016 104

Course Course Name Theory Practical Tutorial Theory TW/ Tutorial Total
Code Practical
Advanced Data 04 -- -- 04 -- -- 04
Structures &
ITDLO50 Analysis of
11 Algorithms

Examination Scheme

Theory Marks
Course Oral &
Course Name Internal assessment
Code End Term Practical Total
Avg. Sem. Work
Test1 Test2 of two Exam
Tests

Advanced Data
Structures &
ITDLO50 --
Analysis of 20 20 20 80 -- 100
11 Algorithms

Course Objectives: Students will try:

1. To learn mathematical background for analysis of algorithm
2. To learn various advanced data structures.
3. To understand the concept of designing an algorithm.
4. To learn dynamic programming and greedy method.
5. To understand the concept of pattern matching
6. To learn advanced tree and graph applications.

Course Outcomes:
1. Students will be able to choose appropriate advanced data structure for given problem.
2. Students will be able to calculate complexity.
3. Students will be able to select appropriate design techniques to solve real world problems.
4. Students will able to apply the dynamic programming technique to solve the problems.
5. Students will be able to apply the greedy programming technique to solve the problems.
6. Students will be able to select a proper pattern matching algorithm for given problem.

Prerequisite: Knowledge Any Programming Language, Data structures and Analysis

University of Mumbai, B. E. (Information Technology), Rev 2016 105

Detailed syllabus:

Sr. Module Detailed Content Hours CO

No. Mapping

Prerequisite Data structures and analysis 02 --

Introduction

• Introduction to advanced data

structures:

• Introduction/Fundamentals of
the analysis of algorithms
o Recurrences:
Introduction  The substitution CO1
I method 10
CO2
 Recursive tree
method
 Masters method
o Probabilistic analysis
o Amortized analysis
o Randomized algorithms
o Mathematical aspects
and analysis of
algorithms
 Introduction
 AVL tree
 Huffman algorithm
 B/B+ tree
Advanced Data  2-3 tree operations CO1
Structures  Red-Black Trees 11 CO2
II
 tries
 Heap operations CO3
 Implementation of priority
queue using heap
 Topological sort
Analysis of All problems

Divide and  Introduction

Conquer  Binary search
 Finding the minimum and
CO2
maximum 7
III
 Merge sort CO3
 Quick sort
 Strassen’s matrix multiplication
Analysis of All problems

Greedy algorithms  Introduction CO2

IV  Knapsack problem 8
 Job sequencing with deadlines CO3
 Minimum cost spanning trees
University of Mumbai, B. E. (Information Technology), Rev 2016 106
 o Kruskal’s algorithm CO5
o Prim’s algorithm
 Optimal storage on tapes
 Optimal merge pattern
 Subset cover problem
 Container loading problem
Analysis of All problems

Dynamic Introduction Dynamic algorithms

algorithms
 All pair shortest path
And  0/1 knapsack
 Travelling salesman problem CO2
NP-Hard and NP-  Coin Changing Problem
V Complete 8 CO3
 Matrix Chain Multiplication
 Flow shop scheduling CO4
 Optimal binary search tree
(OBST)
 Analysis of All problems
 Introduction to NP-Hard And
NP-Complete Problems
 introduction
 The naïve string matching
algorithm
String Matching  Rabin Karp algorithm CO2
 Knuth-Morris-Pratt algorithm
VI (KMP) 6 CO3
 Longest common
CO6
subsequence(LCS)
 Analysis of All problems
 Genetic algorithms

Text Books:
1. Introduction to ALGORITHMS, Cormen, Leiserson, Rivest, Stein, PHI.
2. Algorithms: Design and Analysis, Harsh Bhasin, OXFORD.
3. Fundamentals of Computer Algorithms, Horowitz, Sahani, Rajsekaran, Universities Press.
4. C and Data structures, Deshpande, Kakde, Dreamtech Press.

Reference Books:
1. Data Structures and Algorithms in C++, Goodritch, Tamassia, Mount, WILEY.
2. Data Structures using C, Reema Thareja, OXFORD.
3. Data Structures and Algorithm Analysis in C, Mark A. Weiss, Pearson.

Assessment:

University of Mumbai, B. E. (Information Technology), Rev 2016 107

Internal Assessment for 20 marks:
Consisting of Two Compulsory Class Tests
Approximately 40% to 50% of syllabus content must be covered in First test and remaining 40% to
50% of syllabus contents must be covered in second test.

End Semester Examination: Some guidelines for setting the question papers are as:
 Weightage of each module in end semester examination is
expected to be/will be proportional to number of respective lecture
hours mentioned in the syllabus.
 Question paper will comprise of total six questions, each
carrying 20 marks.
 Q.1 will be compulsory and should cover maximum contents of
the syllabus.
 Remaining question will be mixed in nature (for example if Q.2
has part (a) from module 3 then part (b) will be from any other
module. (Randomly selected from all the modules.)
 Total four questions need to be solved.

University of Mumbai, B. E. (Information Technology), Rev 2016 108

Course Code Course Theory Practical Tutorial Theory TW/ Tutorial Total
Name Practical
ITDLO5012 Image 04 -- -- 04 -- -- 04
Processing

Examination Scheme

Theory Marks
Subject Subject
Code Name Internal assessment Term Oral & Practical
End Total
Sem. Work
Avg. of
Test1 Test2 Exam
two Tests

ITDLO5012 Image --
Processing 20 20 20 80 -- 100

Course Objectives: The course will help the students to get familiar with

1. Fundamental concepts of a digital image processing system.

2. Concepts of image enhancement techniques.
3. Various Image Transforms.
4. Compression techniques and Morphological concepts
5. Various segmentation techniques, and object descriptors.
6. Color models and various applications of image processing.

Course Outcomes: Students should be able to:

1. Remember the fundamental concepts of image processing.

2. Explain different Image enhancement techniques
3. Understand and review image transforms
4. Analyze the basic algorithms used for image processing &image compression with morphological
image processing.
5. Contrast Image Segmentation and Representation
6. Design & Synthesize Color image processing and its real world applications.

Prerequisite: Mathematics and Statistics.

Detail Syllabus:

Sr.
CO
No Module Detailed Content Hours
Mapping
.

As images are two dimensional signals,

0 Prerequisite the single dimensional Digital Signal 02
Processing fundamentals.

University of Mumbai, B. E. (Information Technology), Rev 2016 109

 Fundamental Steps in Digital Image
Processing, Components of an Image
Introduction to Processing System, Image Sensing and
I digital image 07 CO 1
processing system Acquisition, Image Sampling and
Quantization, Basic Relationships
between Pixels.
Intensity Transformations and Spatial
II Image enhancement Filtering, Histogram processing, Filtering 09 CO 2
in Frequency Domain
Discrete Fourier transform - Properties of
two dimensional DFT, DCT, DST, Walsh,
III Image transforms 07 CO 3
Hadamard, Haar Transform and their
properties.

Fundamentals of compression, Basic

compression Methods, Huffman Coding,
Arithmetic Coding , LZW Coding , Run-
Length Coding , Symbol-Based Coding,
Image compression Bit-Plane Coding, Block Transform
IV and morphological Coding , Predictive Coding. 11 CO 4
image processing
Image morphology, Opening & Closing,
Hit or Miss Transform, Basic
Morphological Algorithms

The detection of discontinuities - Point,

Line and Edge detections , Hough
Transform, Thresholding Region based
Image segmentation
V 08 CO 5
and representation segmentation
Chain codes, Polygon approximation,
Shape numbers, Fourier descriptors,
statistical Moments.

University of Mumbai, B. E. (Information Technology), Rev 2016 110

 Color Fundamentals and Models,
Pseudocolor Image Processing,
Smoothing and Sharpening, Image
Color Image
VI Processing and Segmentation Based on Color. Biometric 08 CO 6
Applications Authentication, Digital watermarking,
Content Base Image Retrieval. Vector
quantization

Text Books:
1. Rafael C. Gonzalez and Richard E.woods, “Digital Image Processing”, Addition - Wesley
Publishing Company, New Delhi, Third Edition, 2007.
2. William K. Pratt, “Digital Image Processing”, John Wiley, NJ, Fourth Edition 2007.

Reference Books:
1. Sid Ahmed M.A., “Image Processing Theory, Algorithm and Architectures”, McGraw-Hill,
1995.
2. Kenneth R Castleman, “Digital Image Processing”, Prentice Hall, New Delhi, 1996.
3. Anil.K.Jain, “Fundamentals of Digital Image Processing”, Prentice Hall of India Pvt Ltd.,
New Delhi, 1995.
4. S. Sridhar, “ Digital Image Processing”, second Edition, Oxford university press, New Delhi,
2016.
5. S. Jayaraman, S. Esakkirajan, T. Veerakumar “ Digital Image Processing”, McGraw-Hill,
2016

Assessment:

Internal Assessment for 20 marks:

Consisting of Two Compulsory Class Tests
Approximately 40% to 50% of syllabus content must be covered in First test and remaining 40% to
50% of syllabus contents must be covered in second test.

End Semester Examination: Some guidelines for setting the question papers are as:
 Weightage of each module in end semester examination is
expected to be/will be proportional to number of respective lecture
hours mentioned in the syllabus.
 Question paper will comprise of total six questions, each
carrying 20 marks.
 Q.1 will be compulsory and should cover maximum contents of
the syllabus.
 Remaining question will be mixed in nature (for example if Q.2
has part (a) from module 3 then part (b) will be from any other
module. (Randomly selected from all the modules.)
 Total four questions need to be solved.

University of Mumbai, B. E. (Information Technology), Rev 2016 111

Course Course Name Theory Practical Tutorial Theory TW/ Tutorial Total
Code Practical
ITDLO5013 E-Commerce & 04 -- -- 04 -- -- 04
E-Business

Examination Scheme

Theory Marks
Course
Course Code Oral & Practical
Name Internal assessment End Term
Total
Sem. Work
Avg. of
Test1 Test2 Exam
two Tests

ITDLO5013 E-Commerce
20 20 20 80 -- -- 100

Course Objectives: Students will try to :

1. Understand concept of Ecommerce and its types.

2. Be familiarized with technologies for Ecommerce.
3. Understand different types of Online Payment systems.
4. Understand Selling and marketing on web.
5. Be familiarized with concept of E-business and E-business Models.
6. Understand various E-business Strategies.

Course Outcomes: Students will be able to:

1. Define and differentiate various types of E-commerce.
2. Describe Hardware and Software Technologies for E-commerce.
3. Explain payment systems for E -commerce.
4. Describe the process of Selling and Marketing on web.
5. Define and Describe E-business and its Models.
6. Discuss various E-business Strategies.

Prerequisite: Internet Technologies, Internet Security, Middleware technologies, web services

Detailed syllabus:

Sr. Module Detailed Content Hours CO

No. Mapping

0 Prerequisite Internet Technologies, Internet Security, 02

Middleware technologies, web services

I E –commerce :Definition of e commerce , 04 CO1

Introduction to E different types of E-commerce ,Examples

University of Mumbai, B. E. (Information Technology), Rev 2016 112

 –commerce of E- commerce, E-commerce trade cycle ,
advantages and disadvantages of E-
commerce , Traditional commerce Vs E -
commerce

II Overview of Overview of Client side programming 08 CO2

Hardware and ( Dream weaver , Front page )
Software Hardware and , Server side Programming
Technologies for (PHP) , Database Software connectivity ,
Ecommerce session tracking, middleware technologies
for ecommerce perspective and security
aspects with respect to e commerce,
integration of web services
III Payment System Traditional payment model , 10 CO3
for Ecommerce Characteristics of payment, Online
Payment Basics, Payment Cards,
Electronic Cash, Electronic Wallets,
Stored-Value Cards, SET Protocol for
credit card payment, Internet Technologies
and the Banking Industry

IV Selling and Selling on the Web: Revenue Models and 10 CO4

Marketing on Web Building a Web Presence: Revenue
Models, Revenue Models in Transition,
Revenue Strategy Issues, Creating an
Effective Web Presence, Web Site
Usability, Connecting with Customers

Marketing on the Web: Web Marketing

Strategies, Communicating with Different
Market Segments, Beyond Market
Segmentation: Customer Behavior and
Relationship Intensity, Advertising on the
Web, E-Mail Marketing, Technology-
Enabled Customer Relationship
Management, Creating and Maintaining
Brands on the Web

Online Auctions, Virtual Communities,

and Web Portals
V E business :- Definition of e- business , Characteristics , 10 CO5
Introduction to e elements of e business , e business roles ,
business Impact of e business , challenges of e
and Developing business , difference between e business
E-business models and e commerce , E-business structure,
Evolution of E –business and stages , E –
business models , Characteristics of
Internet based software and e business
solutions
VI E business Strategic planning process, SCM , CRM , 08 CO6
strategies ERP , procurement

University of Mumbai, B. E. (Information Technology), Rev 2016 113

Text Books:

1 E -Commerce Fundamentals and application (Henry Chan) Wiley publication

2. Electronics Commerce (Gary Schneider) Thomson Course technology
3.E –Business , Parag Kulkarni , Sunita Jahirabadkar, Pradip Chande , Oxford Higher Education ,
Oxford University Press
4. E –business and E –commerce Management , Dave Chaffey , Pearson , 3rd edition
5. E commerce by Laudon

References:

1. E-Commerce Strategies, Technology and applications (David Whitley) Tata McGrawHill

2. Introduction to E-commerce Elias Awad

Assessment:

Internal Assessment for 20 marks:

Consisting of Two Compulsory Class Tests
Approximately 40% to 50% of syllabus content must be covered in First test and remaining 40% to
50% of syllabus contents must be covered in second test.

End Semester Examination: Some guidelines for setting the question papers are as:
 Weightage of each module in end semester examination is
expected to be/will be proportional to number of respective lecture
hours mentioned in the syllabus.
 Question paper will comprise of total six questions, each
carrying 20 marks.
 Q.1 will be compulsory and should cover maximum contents of
the syllabus.
 Remaining question will be mixed in nature (for example if Q.2
has part (a) from module 3 then part (b) will be from any other
module. (Randomly selected from all the modules.)
 Total four questions need to be solved.

University of Mumbai, B. E. (Information Technology), Rev 2016 114

Course Code Course Theory Practical Tutorial Theory TW/ Tutorial Total
Name Practical
ITDLO5014 IT Enabled 04 -- -- 04 -- -- 04
Services

Examination Scheme

Theory Marks
Course Course
Code Name Internal assessment Term Oral & Practical
End Total
Sem. Work
Avg. of
Test1 Test2 Exam
two Tests

ITDLO5014 IT
Enabled 20 20 20 80 -- -- 100
Services

Course Objectives: Students will try:

1. To understand importance of IT enabled services and challenges for the same.

2. To understand strategic IT planning for industries.
3. To develop enterprise IT architecture for Information technology.
4. To encourage the use of Information Technology so as to enable students to improve their
skills, knowledge and job prospects and enable them to obtain employment in sunrise
industries.
5. To develop the ability to integrate various resources for optimization in the industry as well as
for strategic utilization of IT enabled services and functions.
6. To develop competence in global sourcing: strategy and management to gain a perspective on
the global services sourcing landscape: past, present, and future.

Course Outcomes: Students will be able to:

1. Describe the importance of IT enabled services and challenges.
2. Identify strategic IT planning for software development.
3. Recognize enterprise IT architecture for Information technology.
4. Use of Information Technology so as to enable them for job in sunrise industries.
5. Illustrate various IT web services for betterment of knowledge.
6. Use their skills to find out various current IT trends in ITES.

Prerequisite: Internet Programming.

University of Mumbai, B. E. (Information Technology), Rev 2016 115

Detailed syllabus:

Sr. Module Detailed Content Hours CO

No. Mapping

0 Prerequisite Information Technology and 02

Project Management, Web
Engineering and Technology.

I Business strategy: Business Strategy: Challenges and 09 CO1

challenges and Opportunities in the Globalized,
opportunities for Interconnected, Convergent World,
IT Establish Principles before Practice,
IT Strategy, Application Strategy,
Technology Strategy for IT, IT
Management Strategy, Developing
IT Strategy for Competitive
Advantage, Stages of IT Strategy
Development and Implementation,
Challenges of IT and Business
Strategy Alignment, Inhibitors of
Business and IT Strategy
Alignment, Three-D Framework for
Business and IT Strategy
Alignment.

II Strategic IT Business Implications for IT 09 CO2

planning Strategic and Planning, Strategic IT
Planning Motivations, SITP
Process:
Prevalent Planning Approaches,
Difficulties in Developing and
Executing SITP, Best Practices for
Achieving Good SITP, SITP
Approaches-Prevalent Researches.

III Enterprise IT Defining EITA, Contents of a 08 CO3

architecture Typical Enterprise IT Architecture,
Standard for Enterprise IT
Architecture,
Technology Management strategy
Framework, Prevalent Technology
Reference Architectures
Framework and Standards, Program
Management, Benefits of PMO,
Desired Qualities of a Program
Office Manager, Maturity of PMO,
Implementation of PMO Strategy,
Measuring PMO Performance,
Success Factors for PMO, Project
Scope Management, PMO
Dashboard and Reporting.

University of Mumbai, B. E. (Information Technology), Rev 2016 116

 IV IT service Information Technology 08 CO4
management Infrastructure Library (ITIL), ITIL
strategy Overview, ITIL Service Support
Processes,
Incident Management, Problem
Management, Service Delivery,
Service Level Management,
Financial
Management, Capacity
Management, IT Service Continuity
Management (ITSCM), Availability
Management, Imperatives for
Outsourcing, IT Management
Layers, Variants of Outsourcing,
Business
Process Outsourcing, In sourcing.

V IT enabled web Overview of basic features of PHP: 08 CO5

services arrays, functions and state
management, working with PHP
forms,
More advanced PHP, OOP’s
concept in PHP, Portable database
supported with different, exception
handling, concepts of UDDI,
WSDL, SOAP.

VI Current trends in Current Employment in the IT and 08 CO6

ITES ITES industry: Newly emerging
area and requirement of IT enabled
service sector. Industry Oriented
Human Resource Requirement:
Outlook of the IT and ITES
Industry.
Barriers to Trade in ITES Role of
International Bodies (WTO &
UNCTAD) in facilitating Trade in
ITEST/ITES, experiences and Case
studies of ITES-call centers, ERP,
google.

Text Books:
1. Sanjiva Shankar Dubey, “ IT strategy and Management”, PHI.
2. K. Venkatesh, “ Marketing of Information Technology”,TMH.
3. Steve Suehring, Timconverse, Joyoe Park , “PHP 6 and MySQL Bible”, Wiley.

University of Mumbai, B. E. (Information Technology), Rev 2016 117

References:
1. Shiro Uesugi, “IT Enabled Services”, Springer; 2013 edition, 2013.
2. Sanjiva Shankar Dubey, “IT Services Business Management: Concepts, Processes and
Practices”, PHI, 2012.
3. Nikhil Treebhoohu, “Promoting IT Enabled Services”, Addison-Wesley, 2013.

Assessment:

Internal Assessment for 20 marks:

Consisting of Two Compulsory Class Tests
Approximately 40% to 50% of syllabus content must be covered in First test and remaining 40% to
50% of syllabus contents must be covered in second test.

End Semester Examination: Some guidelines for setting the question papers are as:
 Weightage of each module in end semester examination is
expected to be/will be proportional to number of respective lecture
hours mentioned in the syllabus.
 Question paper will comprise of total six questions, each
carrying 20 marks.
 Q.1 will be compulsory and should cover maximum contents of
the syllabus.
 Remaining question will be mixed in nature (for example if Q.2
has part (a) from module 3 then part (b) will be from any other
module. (Randomly selected from all the modules.)
 Total four questions need to be solved.

University of Mumbai, B. E. (Information Technology), Rev 2016 118

 Theory Practical Tutorial Theory TW/Practical Tutorial Total
Course Code Course Name
Computer 04 -- --- 04 -- -- 04
ITDLO5015 Graphics &
Virtual
Reality

Examination Scheme

Theory Marks

Internal assessment End Term

Total
Avg. of Sem. Work
Course Test1 Test2 Oral & Practical
Code Course Name two Tests Exam
ITDLO50
15 20 20 20 80 100
Computer
Graphics & ---- --
Virtual Reality

Course Objectives: Students will try:

1. To introduce the use of the components of a graphics system and become familiar
with building approach of graphics system components and algorithms related with
them.
2. To learn the basic principles of 3-dimensional computer graphics.
3. Provide an understanding of how to scan convert the basic geometrical primitives,
how to transform the shapes to fit them as per the picture definition.
4. Provide an understanding of mapping from a world coordinates to device
coordinates, clipping, and projections.
5. To be able to discuss the application of computer graphics concepts in the
development of computer games, information visualization, and business
applications.
6. To comprehend and analyze the fundamentals of animation, virtual reality,
underlying technologies, principles, and applications.

Course Outcomes: Students will be able to:

1. To list the basic concepts used in computer graphics.

2. To implement various algorithms to scan, convert the basic geometrical primitives,
transformations, Area filling, clipping.
3. To describe the importance of viewing and projections.
4. To define the fundamentals of animation, virtual reality and its related technologies.
5. To understand a typical graphics pipeline
6. To design an application with the principles of virtual reality

Prerequisite: Basic Mathematics

University of Mumbai, B. E. (Information Technology), Rev 2016 119
Detailed syllabus:
Sr. Module Detailed Content Hours CO Mapping
No.

0 Prerequisite Knowledge of Mathematics

2
I. Introduction to Introduction: Display Devices, Bitmap and 7 CO1
Computer graphics Vector based graphics, Overview of Coordinate
System.
and Output primitives Scan Conversion of: point, line using Digital
differential analyzer & Bresenham’s
algorithm, circle using midpoint approach,
Curve Generation: Bezier and B-Spline
curves.
Introduction to fractals: generation procedure,
classification, dimension and Koch Curve.

II. Area filling: Inside/Outside Test, Scan line 8

Polygon Fill Algorithm, Boundary Fill and
Flood Fill algorithm.
Basic Geometrical 2D Transformations:
Translation, Rotation, Scaling, Reflection, CO1
Shear, their homogeneous Matrix CO2
representation and Composite transformation.
Three Dimensional transformations:
Translation, Scaling, Rotations, Composite.

Area Filling,
Transformations (2D
and 3D)

CO1
Viewing (2D and 3D) Viewing: Introduction, Viewing Pipeline, View CO2
III. Projection and Clipping Coordinate reference frame, Window to 10 CO3
viewport transformation.
Three-Dimensional Viewing: 3D Pipeline,
Viewing transformation, Projections: Parallel
(Oblique and orthographic), Perspective (one
Point)
Clipping: Point clipping, Line
clipping: Cohen Sutherland Algorithm, Liang
Barsky algorithms, Polygon clipping:
Sutherland Hodgeman polygon clipping and
Weiler Atherton. Text Clipping.

University of Mumbai, B. E. (Information Technology), Rev 2016 120

 IV. 4
CO1
Introduction Animation: Key Frame Animation, Animation
To Animation CO2
Sequence, Motion Control Methods, CO4
Morphing, Warping- Mesh Warping. CO5

V. Introduction Virtual Reality: Basic Concepts, Overview and 9 CO1

to perspective on virtual reality, Human sensation CO2
Virtual Reality and perception. CO4
Classical Components of VR System, Types of CO6
VR Systems, Three-Dimensional Position
Trackers, Navigation and Manipulation
Interfaces, Gesture Interfaces, Input Devices,
Graphical Display, Sound displays, and Haptic
Feedback. Graphical Rendering Pipeline, Haptic
Rendering Pipeline, Open GL rendering pipeline.
Applications of Virtual Reality.

VI. VR Modeling and CO1

Programming Geometric Modeling: Virtual Object Shape, CO2
Object Visual Appearance.
12 CO4
Kinematics Modeling: Object Position,
CO6
Transformation Invariants, Object Hierarchies,
Physical Modeling: Collision Detection,
Surface Deformation, Force Computation.
Behavior Modeling. Programming through
VRML/X3D: Defining and Using Nodes and
Shapes, VRML Browsers,
Java 3D, OpenCV for augmented reality

Text Books

1 Donald Hearn and M. Pauline Baker, “Computer Graphics”, Pearson Education.

2 R. K Maurya, “Computer Graphics with Virtual Reality”, Wiley India.

Reference Books

1. Grigore Burdea, Philippe Coiffet, “Virtual Reality Technology”, Wiley.

2. Steven Harrington, “Computer Graphics”, McGraw Hill.
3. Rogers, “Procedural Elements of Computer Graphics”, Tata McGraw Hill.
4. Vince, “Virtual Reality Systems”, Pearson Education.
5. F.S. Hill, Stephen M. Kelley , “Computer Graphics using Open GL” Prentice Hall
6. Samyak Datta , “Learning OpenCV 3 Application Development”, Packt

University of Mumbai, B. E. (Information Technology), Rev 2016 121

Assessment:

Internal Assessment for 20 marks:

Consisting of Two Compulsory Class Tests
Approximately 40% to 50% of syllabus content must be covered in First test and remaining 40% to
50% of syllabus contents must be covered in second test.

End Semester Examination: Some guidelines for setting the question papers are as:
 Weightage of each module in end semester examination is
expected to be/will be proportional to number of respective lecture
hours mentioned in the syllabus.
 Question paper will comprise of total six questions, each
carrying 20 marks.
 Q.1 will be compulsory and should cover maximum contents of
the syllabus.
 Remaining question will be mixed in nature (for example if Q.2
has part (a) from module 3 then part (b) will be from any other
module. (Randomly selected from all the modules.)
 Total four questions need to be solved.

University of Mumbai, B. E. (Information Technology), Rev 2016 122

 University of Mumbai

Program Structure B.E. Information Technology, (Rev. 2016)

T. E. Information Technology (Semester-VI)

Teaching Scheme
Credits Assigned
Course Course (Contact Hours)
Code N a me TW/
Theory Pract Tut Theory Tut Total
Pract
Software Engineering with
ITC601 4 - - 4 - - 4
Project Management
Data Mining and Business
ITC602 4 - - 4 - - 4
Intelligence
Cloud Computing &
ITC603 4 - - 4 - - 4
Services
ITC604 Wireless Networks 4 - - 4 - - 4
Department Level
ITDLO-II 4 - - 4 - - 4
Optional Course -II
ITL601 Software Design Lab - 2 - - 1 - 1

ITL602 Business Intelligence Lab - 2 - - 1 - 1

ITL603 Cloud Service Design Lab - 2 - - 1 - 1

ITL604 Sensor Network Lab - 2 - - 1 - 1

ITM605 Mini-project - 4 - - 2 - 2

Total 20 12 - 20 6 - 26

University of Mumbai, B. E. (Information Technology), Rev 2016 123

 Examination Scheme
Course Course
Theory
Code Name Internal Assessment End Exam Oral Oral &
TW Total
Sem. Duration Pract
Test 1 Test 2 Avg.
Exam ( in Hrs)
Software Engineering with -
ITC601 20 20 20 80 3 - - 100
Project Management
Data Mining and Business -
ITC602 20 20 20 80 3 - - 100
Intelligence
Cloud Computing & -
ITC603 20 20 20 80 3 - - 100
Services

ITC604 Wireless Networks -

20 20 20 80 3 - - 100
Department Level -
ITDLO-II 20 20 20 80 3 - - 100
Optional Course -II
ITL601 Software Design Lab - - - - - 25 25 -- 50
ITL602 Business Intelligence Lab - - - - - 25 25 -- 50
ITL603 Cloud Service Design Lab - - - - - 25 25 -- 50
ITL604 Sensor Network Lab - - - - - 25 25 -- 50

25
ITM605 Mini-Project - - - - - 25 -- 50

Total 100 100 100 400 - 125 125 -- 750

# Department Level Optional Course (DLO)

Every student is required to take one Department Elective Course for Semester VI. Different sets of
courses will run in both the semesters. Students can take these courses from the list of department
electives, which are closely allied to their disciplines.

(DLO-I subjects will have no Labs only Theory)

Subject Code Department Level Optional Course

(DLO)

Semester VI

ITDLO6021 Advance Internet Programming

ITDLO6022 Software Architecture

ITDLO6023 Digital Forensics

ITDLO6024 Multimedia Systems

ITDLO6025 Green IT

University of Mumbai, B. E. (Information Technology), Rev 2016 124

Course Code Course Name Theory Practical Tutorial Theory Oral & Tutorial Total
Practical
ITC601 Software 04 -- -- 04 -- -- 04
Engineering with
Project
Management

Examination Scheme

Theory Marks
Course Code Course Name
Internal assessment End Term Oral & Practical
Total
Sem. Work
Avg. of
Test1 Test2 Exam
two Tests

ITC601 Software
Engineering
20 20 20 80 -- -- 100
with Project
Management

Course Objectives: Students will try:

1. To understand the nature of software development and software life cycle process models,
agile software development, SCRUM and other agile practices.
2. To Explain methods of capturing, specifying, visualizing and analyzing software
requirements.
3. To understand concepts and principles of software design and user-centric approach and
principles of effective user interfaces.
4. To know basics of testing and understanding concept of software quality assurance and
software configuration management process.
5. To understand need of project management and project management life cycle.
6. To understand project scheduling concept and risk management associated to various type
of projects.

Course Outcomes: Students will be able to:

1. Define various software application domains and remember different process model used in
software development.
2. Explain needs for software specifications also they can classify different types of software
requirements and their gathering techniques.
3. Convert the requirements model into the design model and demonstrate use of software and
user-interface design principles.
4. Distinguish among SCM and SQA and can classify different testing strategies and tactics
and compare them.
5. Justify role of SDLC in Software Project Development and they can evaluate importance
of Software Engineering in PLC.
6. Generate project schedule and can construct, design and develop network diagram for
different type of Projects. They can also organize different activities of project as per Risk
impact factor.

University of Mumbai, B. E. (Information Technology), Rev 2016 125

Prerequisite: Programming and Networking.
Detailed syllabus:

Sr. Module Detailed Content Hours CO

No. Mapping

0 Prerequisite Nature of Software, Software 02

Definition, Software
Characteristics, Software
Application Domains

I The Software Generic view of Process, 07 CO1

Process Prescriptive Models: Waterfall
Model, Incremental-RAD Model,
Evolutionary Process Model-
Prototyping, Spiral and Concurrent
Development Model, Specialized
Models: Component based, Aspect
Oriented Development, Agile
Methodology, Scrum and Extreme
Programming

II Requirements Requirement, Types of 07 CO1

Engineering and Requirements, Requirement
Cost Estimation gathering, Requirement CO2
Engineering Task, Identifying
Stakeholders, Multiple viewpoints,
SRS (Software Requirement
Specification) Project Estimation,
LOC based, FP based and Use case
based estimation.

III Analysis and Introduction of Analysis elements, 09 CO1

Design Scenario based, Flow based,
Engineering behavior and class based Design CO2
Concepts and Principles,
CO3
Architecture Design, Component
Level Design, System Level
Design, User Interface Design.

IV Quality & Need for Testing, Testing Tactics, 07 CO4

Configuration Testing strategies, McCall’s
Management Quality Factor, Software
Configuration Management, SCM
Process

V IT Project Introduction, 4 P’s, W5HH 10 CO5

Management Principle, Need for Project
Management, Project Life cycle
and ITPM, Project Feasibility, RFP,
PMBOK Knowledge areas,
Business Case, Project Planning,
Project Charter and Project Scope.

University of Mumbai, B. E. (Information Technology), Rev 2016 126

VI Project Scheduling WBS, Developing the Project 10 CO1
and Risk Schedule, Network Diagrams
Management (AON, AOA), CPM and PERT, CO2
Gantt Chart, Risk Identification,
CO3
Risk Projection and RMMM
CO4
CO6

Text Books:
1. Roger S Pressman “Software Engineering : A Practitioner’s Approach” 7th Edition Mcgraw-Hill
ISBN:0073375977
2. Jack T. Marchewka, “Information Technology Project Management” 4th Edition ,Wiley India

References:
1. “Software Engineering : A Precise Approach” Pankaj Jalote , Wiley India
2. Ian Sommerville “ Software Engineering” 9th edition Pearson Education SBN-13: 978-0- 13-
703515-1, ISBN-10: 0-13-703515-2
3. John M. Nicholas, Project Management for Business and Technology, 3rd edition, Pearson
Education.
4. Software Project management by Bob Hughes, Mike Cotterell , Rajib Mall

Assessment:

Internal Assessment for 20 marks:

Consisting of Two Compulsory Class Tests
Approximately 40% to 50% of syllabus content must be covered in First test and remaining 40% to
50% of syllabus contents must be covered in second test.

End Semester Examination: Some guidelines for setting the question papers are as:
 Weightage of each module in end semester examination is
expected to be/will be proportional to number of respective lecture
hours mentioned in the syllabus.
 Question paper will comprise of total six questions, each
carrying 20 marks.
 Q.1 will be compulsory and should cover maximum contents of
the syllabus.
 Remaining question will be mixed in nature (for example if Q.2
has part (a) from module 3 then part (b) will be from any other
module. (Randomly selected from all the modules.)
 Total four questions need to be solved.

University of Mumbai, B. E. (Information Technology), Rev 2016 127

Course Code Course Theory Practical Tutorial Theory Oral & Tutorial Total
Name Practical
ITC602 Data Mining 04 -- 04 -- -- 04
and
Business
Intelligence

Examination Scheme

Theory Marks
Course Course
Code Name Internal assessment Term Oral & Practical
End Total
Sem. Work
Avg. of
Test1 Test2 Exam
two Tests

ITC602 Data Mining

and
20 20 20 80 -- -- 100
Business
Intelligence

Course Objectives: Students will try:

1. To introduce the concept of data Mining as an important tool for enterprise data management
and as a cutting edge technology for building competitive advantage.
2. To enable students to effectively identify sources of data and process it for data mining
3. To make students well versed in all data mining algorithms, methods of evaluation.
4. To impart knowledge of tools used for data mining
5. To provide knowledge on how to gather and analyze large sets of data to gain useful business
understanding.
6. To impart skills that can enable students to approach business problems analytically by
identifying opportunities to derive business value from data.

Course Outcomes: Student will be able to:

1. Demonstrate an understanding of the importance of data mining and the principles of business
intelligence
2. Organize and Prepare the data needed for data mining using pre preprocessing techniques
3. Perform exploratory analysis of the data to be used for mining.
4. Implement the appropriate data mining methods like classification, clustering or Frequent Pattern
mining on large data sets.
5. Define and apply metrics to measure the performance of various data mining algorithms.
6. Apply BI to solve practical problems : Analyze the problem domain, use the data collected in
enterprise apply the appropriate data mining technique, interpret and visualize the results and
provide decision support.

Prerequisite: Database Management System, Advanced Data Management Technology.

University of Mumbai, B. E. (Information Technology), Rev 2016 128

Detailed syllabus:

Sr. Module Detailed Content Hours CO

No. Mapping

0 Prerequisites Knowledge of databases, and Date 02 --

warehousing, OLAP

I Introduction to What is Data Mining; Kind of 03 CO1

Data Mining patterns to be mined; Technologies
used; Major issues in Data Mining

II Data Exploration Types of Attributes; Statistical 09 CO2

and Data Description of Data; Data
Preprocessing Visualization; Measuring similarity CO3
and dissimilarity.

Why Preprocessing? Data

Cleaning; Data Integration; Data
Reduction: Attribute subset
selection, Histograms, Clustering
and Sampling; Data Transformation
& Data Discretization:
Normalization, Binning, Histogram
Analysis and Concept hierarchy
generation.

III Classification Basic Concepts; Classification 09 CO4

methods: 1. Decision Tree
Induction: Attribute Selection CO5
Measures, Tree pruning. 2.
Bayesian Classification: Naïve
Bayes‟ Classifier. Prediction:
Structure of regression models;
Simple linear regression, Multiple
linear regression. Accuracy and
Error measures, Precision, Recall,
Holdout, Random Sampling, Cross
Validation.

IV Clustering Cluster Analysis: Basic Concepts; 10 CO4

Partitioning Methods: K-Means, K-
Mediods; Hierarchical Methods: CO5
Agglomerative, Divisive, BIRCH;
Density-Based Methods: DBSCAN
What are outliers? Types,
Challenges; Outlier Detection
Methods: Supervised, Semi
Supervised, Unsupervised,
Proximity based, Clustering Based.

V Frequent Pattern Market Basket Analysis, Frequent 10 CO4

Itemsets, Closed Itemsets, and
University of Mumbai, B. E. (Information Technology), Rev 2016 129
 Mining Association Rules; Frequent Pattern CO5
Mining, Efficient and Scalable
Frequent Itemset Mining Methods,
The Apriori Algorithm for finding
Frequent Itemsets Using Candidate
Generation, Generating Association
Rules from Frequent Itemsets,
Improving the Efficiency of
Apriori, A pattern growth approach
for mining Frequent Itemsets;
Mining Frequent itemsets using
vertical data formats; Introduction
to Mining Multilevel Association
Rules and Multidimensional
Association Rules; From
Association Mining to Correlation
Analysis, lift, ; Introduction to
Constraint-Based Association
Mining.

VI Business What is BI? Business intelligence 09 CO6

Intelligence architectures; Definition of decision
support system; Development of a
business intelligence system using
Data Mining for business
Applications like Fraud Detection,
Clickstream Mining, Market
Segmentation, retail industry,
telecommunications industry,
banking & finance CRM etc.

Text Books:
1. Han, Kamber, "Data Mining Concepts and Techniques", Morgan Kaufmann 3nd Edition.
2. P. N. Tan, M. Steinbach, Vipin Kumar, “Introduction to Data Mining”, Pearson Education.
3. Business Intelligence: Data Mining and Optimization for Decision Making by Carlo Vercellis
,Wiley India Publications.
4. G. Shmueli, N.R. Patel, P.C. Bruce, “Data Mining for Business Intelligence: Concepts,
Techniques, and Applications in Microsoft Office Excel with XLMiner”, 2nd Edition, Wiley India.

References:
1. Michael Berry and Gordon Linoff “Data Mining Techniques”, 2nd Edition Wiley Publications.
2. Michael Berry and Gordon Linoff “Mastering Data Mining- Art & science of CRM”, Wiley
Student Edition.
3. Vikram Pudi & Radha Krishna, “Data Mining”, Oxford Higher Education.

Assessment:

Internal Assessment for 20 marks:

Consisting of Two Compulsory Class Tests

University of Mumbai, B. E. (Information Technology), Rev 2016 130

Approximately 40% to 50% of syllabus content must be covered in First test and remaining 40% to
50% of syllabus contents must be covered in second test.

End Semester Examination: Some guidelines for setting the question papers are as:
 Weightage of each module in end semester examination is
expected to be/will be proportional to number of respective lecture
hours mentioned in the syllabus.
 Question paper will comprise of total six questions, each
carrying 20 marks.
 Q.1 will be compulsory and should cover maximum contents of
the syllabus.
 Remaining question will be mixed in nature (for example if Q.2
has part (a) from module 3 then part (b) will be from any other
module. (Randomly selected from all the modules.)
 Total four questions need to be solved.

University of Mumbai, B. E. (Information Technology), Rev 2016 131

Course Code Course Theory Practical Tutorial Theory Oral & Tutorial Total
Name Practical
ITC603 Cloud 04 -- -- 04 -- -- 04
Computing
& Services

Examination Scheme

Theory Marks
Course Oral &
Course Name
Code Internal assessment End Term Practical Total
Sem. Work
Avg. of
Test1 Test2 Exam
two Tests

ITC603 Cloud
Computing 20 20 20 80 -- -- 100
& Services

Course Objectives: Students will try to learn:

1. Basics of cloud computing.

2. Key concepts of virtualization.
3. Different Cloud Computing services
4. Cloud Implementation, Programming and Mobile cloud computing
5. Key components of Amazon Web Services
6. Cloud Backup and solutions

Course Outcomes: Students should be able to:

1. Define Cloud Computing and memorize the different Cloud service and deployment models
2. Describe importance of virtualization along with their technologies.
3. Use and Examine different cloud computing services
4. Analyze the components of open stack & Google Cloud platform and understand Mobile Cloud
Computing
5. Describe the key components of Amazon web Service
6. Design & develop backup strategies for cloud data based on features.

Prerequisite Subjects: Computer Network, Operating System

Detailed syllabus:

Sr. CO
Module Detailed Content Hours
No. Mapping

0 Prerequisites OSI Layers, Basics of OS. 02 --

I Introduction Defining Cloud Computing, Cloud and other

06 CO1
similar configurations, Components of Cloud

University of Mumbai, B. E. (Information Technology), Rev 2016 132

 Computing, Cloud types: NIST and Cloud Cube
Models, Cloud Deployment Models and Service
Models, Cloud computing architecture,
Advantages and Disadvantages of Cloud
Computing.

II Virtualization Virtualization: Characteristics of virtualized

environment, Understanding the importance of
Hypervisors, Type I & Type II Hypervisors,
Taxonomy of virtualization, Implementation
Levels of Virtualization, Virtualization of CPU, 10 CO2
Memory and I/O Devices , Virtualization and
Cloud Computing, Pros and Cons of
virtualization, Technology Examples: KVM, Xen,
Vmware and HyperV

III Cloud Computing Exploring Cloud Computing Services: SPI

Services
Model: Software as a service, Platform as a
service, and Infrastructure as a service.

Anything as a service or Everything as a service

(XaaS): Security as a Service, Identity CO1

management as a Service, Database as a Service, 09 CO2

Storage as a Service, Collaboration as a Service, CO3
Compliance as a Service, Monitoring as a
Service, Communication as a Service, Network as
a Service, Disaster recovery as a service,
Analytics as a Service, Backup as a Service.

IV Cloud Open Stack Cloud Architecture: Feature of Open

Implementation,
stack, Components of Open stack, mode of
Programming
CO1
and Mobile Cloud operations.
Computing CO2
Programming support for Google apps engine- 09
CO3
GFS, Bigtables, Chubby, Google APIs.
CO4
Mobile Cloud Computing: Definition,
architecture, benefits and challenges of mobile

University of Mumbai, B. E. (Information Technology), Rev 2016 133

 cloud computing

V AWS cloud computing Platform,

Exploring the
a) Elastic Compute Cloud(EC2): Compute
Components of
Amazon Web Basics, Instance types, Life cycle of instances.
Services
b) Simple Storage Service (S3): Basics and
Operations, Features, Amazon Glacier, Glacier vs
S3.

CO1
c) Elastic Block Storage (EBS):Basics and Types
of EBS Volumes CO2
11
CO3
d)Amazon Virtual Private Cloud (Amazon VPC):
CO4
Subnets, Route tables, Elastic IP Addresses (EIP),
Elastic Network Interfaces (ENIs) & Security CO5

groups & ACL.

e) Exploring Elastic Load Balancing (ELB):

Basics, Types of load balancers, Configuring
Elastic Load Balancing, Basics of Cloud Watch
& Auto Scaling.

VI Cloud Backup & Cloud Backup Solutions and their features, Cloud CO1
Solutions
data management interface (CDMI), Cloud CO2
Storage gateways (CSG), Comparison between
CO3
different cloud platforms: Amazon web services 05
CO4
& Open stack (Based on Type of deployment,
CO5
Services supported and their components).
CO6

Text Books:
1. Barrie Sosinsky ,”Cloud Computing Bible”,Wiley Publication.
2. Kailash Jayaswal, Jagannath Kallalurchi, Donald J. Houde, Dr. Deven Shah, ”Cloud Computing
Black Book”, Dreamtech Press.
3. Joe Baron et.al ,”AWS certified solution Architect”, Sybex publication.
4. Mastering Cloud Computing, Rajkumar Buyya, MGH publication

University of Mumbai, B. E. (Information Technology), Rev 2016 134

Reference Books:
1. Thomas Erl,Robert Cope,Amin naserpour,”Cloud Computing Design Patterns”,Pearson
Publication.
2. Judith Hurwitz ,”Cloud Computing for Dummies” , Wiley Publication.

Assessment:

Internal Assessment for 20 marks:

Consisting of Two Compulsory Class Tests
Approximately 40% to 50% of syllabus content must be covered in First test and remaining 40% to
50% of syllabus contents must be covered in second test.

End Semester Examination: Some guidelines for setting the question papers are as:
 Weightage of each module in end semester examination is
expected to be/will be proportional to number of respective lecture
hours mentioned in the syllabus.
 Question paper will comprise of total six questions, each
carrying 20 marks.
 Q.1 will be compulsory and should cover maximum contents of
the syllabus.
 Remaining question will be mixed in nature (for example if Q.2
has part (a) from module 3 then part (b) will be from any other
module. (Randomly selected from all the modules.)
 Total four questions need to be solved.

University of Mumbai, B. E. (Information Technology), Rev 2016 135

Course Code Course Theory Practical Tutorial Theory Oral & Tutorial Total
Name Practical
ITC604 Wireless 04 -- -- 04 -- -- 04
Network

Examination Scheme

Theory Marks
Course Course
Code Name Internal assessment Term Oral & Practical
End Total
Sem. Work
Avg. of
Test1 Test2 Exam
two Tests

ITC604 Wireless
Network 20 20 20 80 -- -- 100

Course Objectives: Students will try to:

1 Understand the fundamentals of wireless networks.

2 Learn and analyze the different wireless technologies.
3 Evaluate Ad-hoc networks and wireless sensor networks.
4 Understand and evaluate emerging wireless technologies and standards
5 Understand design considerations for wireless networks
6 Learn and analyze and evaluate the security threats and related security standards

Course Outcomes: Students will be able to:

1. Explain the basic concepts of wireless network and wireless generations.
2. Demonstrate the different wireless technologies such as CDMA, GSM, GPRS etc
3. Appraise the importance of Ad-hoc networks such as MANET and VANET and Wireless
Sensor networks
4. Describe and judge the emerging wireless technologies standards such as WLL,
WLAN, WPAN, WMAN.
5. Explain the design considerations for deploying the wireless network infrastructure.
6. Differentiate and support the security measures, standards. Services and layer wise security
considerations.

Prerequisite: Computer Networks.

University of Mumbai, B. E. (Information Technology), Rev 2016 136

Detailed syllabus:

Sr. Module Detailed Content Hours CO

No. Mapping

0 Prerequisite Modulation and Demodulation 02

Techniques, PSTN

I Fundamentals Fundamentals of Wireless 07 CO1

Wireless Communication, Advantages,
Communication limitations and application, wireless
media, Infrared Modulation
Techniques, DSSS and FHSS,
Frequency Spectrum: Radio and
Infrared; Wireless generations: 1G:
Cellular,2G: Mobile Radio,3G:
UMTS- Security related Encryption
Algorithm,4G

II Evolution of Multiple Access Technique: 10 CO1

Wireless TDMA, FDMA, CSMA, CDMA
Technologies CO2
Wireless Technologies: GSM,
GPRS, EDGE,CDMA,LTE, UMTS

III Types of Wireless Ad-hoc: MANET & VANET, 09 CO1

Networks Application, Advantage and
limitations; Wireless Sensor CO3
Network: Application, advantages
and limitations

IV Emerging Wireless WLL , WLAN- 802.11 (Wi-Fi), 10 CO1

Technologies and WPAN- 802.15.1/3/4 (Bluetooth,
standards Zigbee), WMAN-802.16a (Wi- CO2
max) , Wi-max and LTE /3GPP CO4
comparison, Mi-fi, Ly-fi,

V Wireless Network Wireless technology, Cisco Unified 07 CO1

Design Wireless Network, Designing
Considerations Wireless Networks with CO2
Lightweight Access Points and
CO3
Wireless LAN Controllers
CO4
CO5

VI Wireless Network The need, attacks, security serviced, 07 CO1

Security WEP, Mobile IP, VPN( PPTP,
LLTP, IPSec), Network Layer CO2
Security, Transport Layer Security,
CO3
Email Security: PGP, S/ MIME,
Internet Firewalls for Trusted CO6
System

University of Mumbai, B. E. (Information Technology), Rev 2016 137

Text Books:
1. Cellular Communications: A Comprehensive and Pratical Guide, Nishith Tripathi, Jeffery H Reed,
Wiley
2. Wireless Mobile Internet Security, 2nd Edition, Man, Young Rhee, Wiley- IEEE press
3. Designing for Cisco Internetwork Solutions (DESGN), 2nd Edition, CCDA, Diane Teare, cisco
Press.

References:
1. Introduction to Digital mobile communication, 2nd Edition, Yoshihiko Akaiwa
2."Wireless Communications and networks", William Stallings, Pearson / Prentice Hall
3. Wireless communication and networking, Vijay Garg

Assessment:

Internal Assessment for 20 marks:

Consisting of Two Compulsory Class Tests
Approximately 40% to 50% of syllabus content must be covered in First test and remaining 40% to
50% of syllabus contents must be covered in second test.

End Semester Examination: Some guidelines for setting the question papers are as:
 Weightage of each module in end semester examination is
expected to be/will be proportional to number of respective lecture
hours mentioned in the syllabus.
 Question paper will comprise of total six questions, each
carrying 20 marks.
 Q.1 will be compulsory and should cover maximum contents of
the syllabus.
 Remaining question will be mixed in nature (for example if Q.2
has part (a) from module 3 then part (b) will be from any other
module. (Randomly selected from all the modules.)
 Total four questions need to be solved.

University of Mumbai, B. E. (Information Technology), Rev 2016 138

Course Code Course Theory Practical Tutorial Theory Practical Tutorial Total
Name /Oral
ITL601 Software -- 02 -- -- 1 -- 1
Design Lab

Examination Scheme

Theory Marks
Course Course
Code Name Internal assessment End Term Oral &
Oral Total
Sem. Work Practical
Avg. of
Test1 Test2 Exam
two Tests

ITL601 Software
Design Lab -- -- -- -- 25 -- 25 50

Course Objectives: Students will try to:

1 Learn basic concepts of UML.

2 Master the vocabulary, rules, and idioms of the UML and learn how to model it effectively.
3 Understand how to apply the UML to solve a number of common modeling problems.
4 Model the systems, from concept to executable artifact, using object-oriented techniques.
5 Apply the knowledge of Software engineering and project management.
6 Understand the software development process using tool.

Course Outcomes: Students will be able to:

1. Sketch a Modeling with UML.
2. Deploy Structural Modeling.
3. Deploy Behavioral Modeling.
4. Deploy Architectural Modeling.
5. Examine estimation about schedule and cost for project development.
6. Select project development tool.

Prerequisite: Object oriented Concept, Java programming language.

Requirement:-
Hardware Software
PC i3 or above. IBM Rational Rose Modeler,
Dia, StarUML (Any One)
Orange Scrum, Xampp , GitHub

University of Mumbai, B. E. (Information Technology), Rev 2016 139

Guidelines
1. Students should take one case study as a mini project work which is to be conducted by a group of
three students

2. Each group will be associated with a subject Incharge/ mini project mentor. The group should meet
with the concerned faculty during Laboratory hours and the progress of work discussed must be
documented.

3. The students must be able to identify Object oriented Technologies, Basic expression of Classes,
Attributes and operations.

4. Students must develop a Conceptual Model of the UML for above case study.

5. Students should define Classes, Relationships, Class Diagrams, Advanced Classes and
Relationship, Object Diagrams for above case study.

6. Students should define Use Cases, Use case Diagrams, Activity Diagrams, Interaction Diagrams,
State Chart Diagrams for above case study.

7. Students should define Components, Deployment, Collaborations, Component Diagrams,

Deployment Diagrams for above case study

8. Students should define SRS, WBS, Network Diagram, Gantt Chart, Cost Estimation Techniques

9. Demonstration it using Scrum Tool

10. Each group may present their work in various project competitions and paper presentations.

11. A detailed report is to be prepared as per guidelines given by the concerned faculty.

Text Books:
1. “The Unified Modeling Language User Guide” by Grady Booch, James Rumbaugh, Ivar Jacobson,
Pearson Publication,ISBN 978-81-7758-372-4
2. Jack T. Marchewka, Information Technology Project Management, 4th edition, Wiley India, 2009.

References:

1. UML – Tutorial “www.tutorialspoints.com/uml/”

2. “An Introduction to Object-Oriented Analysis: Objects and UML in plain English” by Davis
William Brown, Wiley, Second Edition
3. “Fundamentals of Object-Oriented Design in UML”, Meilir Page-Jones, Pearson Education
4. UML in 24 Hours
5. UML Basics— an Introduction to the Unified Modeling Language – IBM
“www.ibm.com › Learn › Rational”

University of Mumbai, B. E. (Information Technology), Rev 2016 140

Term Work:
Term Work shall consist of full Mini Project on above guidelines/syllabus. Also Term work Journal
must include at least 2 assignments.
Term Work Marks: 25 Marks (Total marks) = 15 Marks (Case Study) + 5 Marks (Assignments) + 5
Marks (Attendance)

Oral Exam: An Oral exam will be held based on the Case Study and Presentation.

University of Mumbai, B. E. (Information Technology), Rev 2016 141

Course Course Name Theory Practical Tutorial Theory Practical Tutorial Total
Code /Oral
ITL602 Business -- 02 -- -- 01 -- 01
Intelligence lab

Examination Scheme

Theory Marks
Course
Course Name Internal assessment
Code End Term Oral &
Oral Total
Avg. of Sem. Work Practical
Test1 Test2 two Exam
Tests

Business
Intelligence
ITL602 -- -- -- -- 25 -- 25 50
Lab

Lab Objectives: Students will try:

1. To introduce the concept of data Mining as an important tool for enterprise data management
and as a cutting edge technology for building competitive advantage.
2. To enable students to effectively identify sources of data and process it for data mining
3. To make students well versed in all data mining algorithms, methods, and tools.
4. To learn how to gather and analyze large sets of data to gain useful business understanding.
5. To impart skills that can enable students to approach business problems analytically by
identifying opportunities to derive business value from data.
6. To identify and compare the performance of business.

Lab Outcomes: Students should be able to:

1. Identify sources of Data for mining and perform data exploration

2. Organize and prepare the data needed for data mining algorithms in terms of attributes and
class inputs, training, validating, and testing files.
3. Implement the appropriate data mining methods like classification, clustering or association
mining on large data sets using open source tools like WEKA
4. Implement various data mining algorithms from scratch using languages like Python/ Java etc.
5. Evaluate and compare performance of some available BI packages
6. Apply BI to solve practical problems : Analyze the problem domain, use the data collected in
enterprise apply the appropriate data mining technique, interpret and visualize the results and
provide decision support.

Prerequisite: Object oriented Concept, Java programming language.

University of Mumbai, B. E. (Information Technology), Rev 2016 142

Requirement:-
Hardware Software
PC i3 or above. Open source data mining and BI tools like
WEKA, Rapid Miner, Pentaho.

Detailed syllabus:
Module Detailed Content Hours LO
Mapping

1 2 tutorials 04 LO 1
& a) Solving exercises in Data Exploration LO 2

II b) Solving exercises in Data preprocessing

III Using open source tools Implement 06 LO 3

a) Classifiers
b) Clustering Algorithms
c) Association Mining Algorithms

IV a) Implementation of any one classifier 06 LO 4

using languages like JAVA/ python/R
b) Implementation of any one clustering
algorithm using languages like JAVA/
python
c) Implementation of any one association
mining algorithm using languages like
JAVA/ python

V Detailed case study of any one BI tool 04 LO 5

(open source tools like Pentaho can be used)
(paper Assignment)

VI Business Intelligence Mini Project: Each 06 LO 6

group assigned one new case study for this;
A BI report must be prepared outlining the
following steps:
a)Problem definition, Identifying which data
mining task is needed
b) Identify and use a standard data mining
dataset available for the problem. Some links
for data mining datasets are: WEKA site,
UCI Machine Learning Repository, KDD
site, KDD Cup etc.
c) Implement the data mining algorithm of
choice

University of Mumbai, B. E. (Information Technology), Rev 2016 143

 d) Interpret and visualize the results e)
Provide clearly the BI decision that is to be
taken as a result of mining.

Text Books:
1. Han, Kamber, "Data Mining Concepts and Techniques", Morgan Kaufmann 3nd Edition.
2. G. Shmueli, N.R. Patel, P.C. Bruce, “Data Mining for Business Intelligence: Concepts, Techniques,
and Applications in Microsoft Office Excel with XLMiner”, 1st Edition, Wiley India.

References:
1. P. N. Tan, M. Steinbach, Vipin Kumar, “Introduction to Data Mining”, Pearson Education.
2. WEKA, RapidMiner Pentaho resources from the Web.

Term Work:
Term Work shall consist of at least 10 to 12 practical’s based on the below list. Also Term work
Journal must include at least 2 assignments.
Term Work Marks: 25 Marks (Total marks) = 15 Marks (Experiment) + 5 Marks (Assignments) + 5
Marks (Attendance)

Oral Exam: An Oral exam will be held based on the above syllabus.

University of Mumbai, B. E. (Information Technology), Rev 2016 144

 Course Practical Tota
Course Code Theory Practical Tutorial Theory Tutorial
Name /Oral l
ITL603 Cloud
Service -- 02 -- -- 01 -- 01
Design Lab

Examination Scheme

Theory Marks
Course
Course Name
Code Internal assessment End Term Oral &
Oral Total
Sem. Work Practical
Avg. of
Test1 Test2 Exam
two Tests

ITL603 Cloud
Service -- -- -- -- 25 -- 25 50
Design Lab

Lab Objectives: Students to get familiar with:

1. Key concepts of virtualization & different types of Hypervisors used in virtualization along
with implementation
2. Concept of On demand Application Delivery like SaaS using Ulteo
3. Open source cloud implementation and administration using Open Stack
4. Various Cloud services provided by Amazon Web Services
5. Programming on Platform as a Service cloud
6. Implementation of Storage as a service using Own Cloud.

Lab Outcomes: Students should be able to:

1. Define & implement Virtualization using different types of Hypervisors

2. Describe steps to perform on demand Application delivery using Ulteo .
3. Examine the installation and configuration of Open stack cloud
4. Analyze and understand the functioning of different components involved in Amazon web
services cloud platform.
5. Describe the functioning of Platform as a Service
6. Design & Synthesize Storage as a service using own Cloud

Prerequisite Subjects: Computer Network, Operating System, Java Programming

Hardware & Software Requirements:

Hardware Requirements Software Requirements Other Requirements

a)Hardware Configuration a) Software Requirements for 1. Internet Connection for

for server Server each PC with at least 2
1.Intel or AMD Multi Core 1.Server OS for Physical Sever MBPS bandwidth and LAN
processors (like i3/i5/i7/Quad like CentOS /Fedora/Ubuntu/ bandwidth of 1 GBPS.
core/Octa core) with Intel Redhat Server
VT-X or AMD-V support 2.Pre-configured OpenSSH
University of Mumbai, B. E. (Information Technology), Rev 2016 145
2. 6 GB RAM 3.Xen Server DVD
3. 500 GB Harddisk 4.Ulteo DVD
4. Gigabit Ethernet (GbE) a) Software Requirements for
network interface card (NIC) Clients
b)Hardware Configuration 1. JDK 1.8 or higher & .NET
for Cloud Client Framework 4
PC/Laptop/Smart phone/Thin 2. Netbeans or Eclipse IDEs
Client or Any device which 3. OpenSSH client or putty
has built-in Wifi, Ethernet or 4.Vmware Workstation,
data connection facility. 5.Oracle Virtualbox
6. Built-in web browser.

Suggested List of Experiments

Sr. Module Detailed Content LO

Hours
No. Mapping

I Virtualization 1. Creating and running

virtual machines on Hosted
Hypervisors like KVM Type 1
,Vmware Workstation,Oracle
LO1
Virtualbox 06

2. Creating and running

virtual machines on Bare-Metal
Hypervisors Type 0 like
Xen,Vmware ESXI or HyperV

II On demand Installation and Configuration of

Application Ulteo to demonstrate on demand
Delivery and Application delivery over web 04 LO2
Virtual Desktop browser to explore SaaS
infrastructure Environment.

III Open source cloud To demonstrate installation and

implementation Configuration of Open stack 04 LO3
and administration Private cloud.

IV Amazon Web Like auto scaling, elastic load

Services balancing, virtual private
computing & Networking. Security 06 LO4

service provided by Amazon web

services. Accessing AWS using

University of Mumbai, B. E. (Information Technology), Rev 2016 146

 web services API provided by
Amazon.

V Platform as a To Demonstrate Platform as a

Service Service using Googleapp 04 LO5
Engine/IBM BlueMix/tSuru

VI Storage as a Explore Storage as a service using

Service own Cloud for remote file access
using web interfaces. S3 storage
02 LO6
and glacier storage and understand
the storage LC management
provided by AWS.

Text Books:
1. Barrie Sosinsky ,”Cloud Computing Bible”,Wiley Publication.
2. Kailash Jayaswal, Jagannath Kallalurchi, Donald J. Houde, Dr.Deven Shah, ”Cloud Computing
Black Book”, Dreamtech Press.
3. Joe Baron et.al ,”AWS certified solution Architect”, Sybex publication.
4. Mastering Cloud Computing, Rajkumar Buyya, MGH publication

Reference Books:
1. Learn to Master Cloud Computing by Star EduSolutions
2. Kai Hwang,”Distributed and Cloud Computing”,MK Publication
3. Thomas Erl,Robert Cope,Amin naserpour,”Cloud Computing Design Patterns”,Pearson
Publication.
4. Judith Hurwitz ,”Cloud Computing for Dummies” , Wiley Publication.

Web Resources:

1. http://fosshelp.blogspot.in
2. https://aws.amazon.com/
3. https://docs.openstack.org/
4. https://owncloud.org/
5. https://appengine.google.com

Term Work:
Term Work shall consist of at least 10 to 12 practical’s based on the below list. Also Term work
Journal must include at least 2 assignments.
Term Work Marks: 25 Marks (Total marks) = 15 Marks (Experiment) + 5 Marks (Assignments) + 5
Marks (Attendance)

Oral Exam: An Oral exam will be held based on the above syllabus.

University of Mumbai, B. E. (Information Technology), Rev 2016 147

Course Code Course Theory Practical Tutorial Theory Practical Tutorial Tota
Name & Oral l
ITL604 Sensor -- 02 -- -- 1 -- 1
Network
Lab

Examination Scheme

Theory Marks
Course
Course Name Practic
Code Internal assessment End Term
al & Oral Total
Sem. Work
Test Avg. of Oral
Test2 Exam
1 twoTests

ITL604 Sensor
Network Lab -- -- -- -- 25 -- 25 50

Lab Objectives: Students will try:

1. To learn different types of sensors from Motes families.

2. To design the problem solution as per the requirement analysis done using Motes sensors.
3. To study the basic concepts of programming/sensors/ emulator like cooja etc.
4. To design and implement the mini project intended solution for project based learning.
5. To build and test the mini project successfully.
6. To improve the team building, communication and management skills of the students.

Lab Outcomes: Student will be able to:

1. Identify the requirements for the real world problems.

2. Conduct a survey of several available literatures in the preferred field of study.
3. Study and enhance software/ hardware skills.
4. Demonstrate and build the project successfully by hardware/sensor requirements, coding,
emulating and testing.
5. To report and present the findings of the study conducted in the preferred domain
6. Demonstrate an ability to work in teams and manage the conduct of the research study.

Guidelines
1. The mini project work is to be conducted by a group of three students

2. Each group will be associated with a subject Incharge/ mini project mentor. The group should meet
with the concerned faculty during Laboratory hours and the progress of work discussed must be
documented.

3. The students may do survey for different application using different types of sensors for their mini
project.

University of Mumbai, B. E. (Information Technology), Rev 2016 148

4. Each group will identify the Hardware (Motes from different Motes families) & sensor
configuration and software requirement for their mini project problem statement.

5. Design your own circuit board using multiple sensors etc.

6. Installation, configure and manage your sensors in such away so that they can communicate with
each other.

7. Work with operating system, emulator like contiki cooja and do coding to for input devices on
sensors.

8. Create and interface using Mobile/Web to publish or remotely access the data on Internet.

9. Each group along with the concerned faculty shall identify a potential problem statement, on which
the study and implementation is to be conducted.

10. Each group may present their work in various project competitions and paper presentations.

11. A detailed report is to be prepared as per guidelines given by the concerned faculty.

Text Books:
1. Fundamentals of Sensor Network Programming: Applications and Technology, By S. Sitharama
Iyengar, Nandan Parameshwaran, Vir V. Phoha, N. Balakrishnan, Chuka D. Okoye, Wiley
publication.
2. Contiki Cooja User Guide.

References:
1. Internet of Things (A Hands-on-Approach) , Vijay Madisetti , Arshdeep Bahga
2. A comparative review of wireless sensor network mote technologies, IEEE paper 2009

Term Work:
Term Work shall consist of full Mini Project on above guidelines/syllabus. Also Term work Journal
must include at least 2 assignments.
Term Work Marks: 25 Marks (Total marks) = 15 Marks (Mini Project) + 5 Marks (Assignments) + 5
Marks (Attendance)

Oral Exam: An Oral exam will be held based on the Mini Project and Presentation.

University of Mumbai, B. E. (Information Technology), Rev 2016 149

Course Code Course Theory Practical Tutorial Theory Practical Tutorial Total
Name / Oral
ITM605 Mini-Project -- 04 -- -- 2 -- 2

Examination Scheme

Theory Marks
Course
Course Name Practic
Code Internal assessment End Term
al & Oral Total
Sem. Work
Avg. of Oral
Test1 Test2 Exam
two Tests

ITM605 Mini-Project
-- -- -- -- 25 -- 25 50

Lab Objectives: Students will try:

1. To offer students a glimpse into real world problems and challenges that need IT based
solutions
2. To enable students to create very precise specifications of the IT solution to be designed.
3. To introduce students to the vast array of literature available of the various research challenges
in the field of IT
4. To create awareness among the students of the characteristics of several domain areas where IT
can be effectively used.
5. To enable students to use all concepts of IT in creating a solution for a problem
6. To improve the team building, communication and management skills of the students.

Lab Outcomes: Student will be able to:

1. Discover potential research areas in the field of IT
2. Conduct a survey of several available literature in the preferred field of study
3. Compare and contrast the several existing solutions for research challenge
4. Demonstrate an ability to work in teams and manage the conduct of the research study.
5. Formulate and propose a plan for creating a solution for the research plan identified
6. To report and present the findings of the study conducted in the preferred domain

Guidelines
1. The project work is to be conducted by a group of three students

2. Each group will be associated with a project mentor/guide. The group should meet with the project
mentor/guide periodically and record of the meetings and work discussed must be documented.

University of Mumbai, B. E. (Information Technology), Rev 2016 150

3. Department has to allocate half day for the project work in VI semester, 1 day in VII semester and
2 day in VIII semester every week.

4. To encourage project based learning in the curriculum students may identify their technical domain
area in semester VI and can perform the Mini-project in the VI semester or students may do
literature survey

5. Each group along with its guide/mentor shall identify a potential research area/problem domain, on
which the study is to be conducted.

6. Each team will do a rigorous literature survey of the problem domain by reading and understanding
at least 3-5 research papers from current good quality national/international journals/conferences.
(Papers selected must be indexed by Scopus/IEEE/Springer/ACM etc.). The list of papers surveyed
must be clearly documented.

7. The project assessment for term work will be done at least two times at department level by giving
presentation to panel members which consist of at least three (3) members as Internal examiners
(including the project guide/mentor) appointed by the Head of the department of respective
Programme.

8. A report is to be prepared summarizing the findings of the literature survey. A comparative

evaluation of the different techniques surveyed is also to be done.

9. Teams must analyze all the results obtained by comparing with other standard techniques.

10. Every team must publish their work in national / international conference/journals (if possible
publish in Scopus indexed journals).

11. The team will finally propose a plan for project work to be continued in the final year.

12. Semester VII to carry out the project good quality project and all these project part

Evaluation
1. Each team has to give presentation/demo to the Internal Panel and External examiner.

2. Each team will prepare a report that will summarize the results of the literature survey and the
project proposal. The list of papers surveyed must be clearly documented.

3. Each group will be jointly evaluated by a team of Internal and External Examiners approved by the
University of Mumbai.

4. Oral exam will be conduct on the project done by the students.

Term Work:
Term Work shall consist of full Mini Project on above guidelines/syllabus.

Term Work Marks: 25 Marks (Total marks) = 20 Marks (Mini Project) + 5 Marks (Attendance)

Oral Exam: An Oral exam will be held based on the Mini Project and Presentation.

University of Mumbai, B. E. (Information Technology), Rev 2016 151

Course Code Course Name Theory Practical Tutorial Theory Practical Tutorial Total
/Oral
ITDLO6021 Advance 04 -- -- 04 -- -- 04
Internet
Programming

Examination Scheme

Theory Marks

Course Code Course Name Internal assessment Oral & Practical

End Term
Total
Avg. of Sem. Work
Test1 Test2 two Exam
Tests

ITDLO6021 Advance
Internet
Programming 20 20 20 80 -- -- 100

Course Objectives: Students will try:

1. To get familiar with the concept of Search Engine Basics.

2. To Understand Search Engine Optimization Techniques.
3. To Learn Web Service Essentials.
4. To gain knowledge of Rich Internet Application Technologies.
5. To be familiarized with Web Analytics 2.0
6. To explore Web 3.0 and Semantic web standards.

Course Outcomes: Students will be able to:

1. Determine SEO Objectives and Develop SEO plan prior to Site Development.
2. Explain Search Engine Optimization Techniques and Develop Keyword Generation.
3. Describe different Web Services Standards.
4. Develop Rich Internet Application using proper choice of Framework.
5. Apply multiple quantitative and qualitative methods for web analytics 2.0.
6. Explain Web 3.0 and Semantic web standards

Prerequisite: Basics of Internet Programming – HTML5, CSS3, XML.

University of Mumbai, B. E. (Information Technology), Rev 2016 152

Detailed syllabus:

Sr. Module Detailed Content Hours CO

No. Mapping

0 Prerequisite Introduction to HTML 5 & CSS3 basics, XML 02

basics

I Search Engine Search Engine Basics 09 CO1

Basics Algorithm based Ranking Systems – Determining
Searcher Intent and Delivering Relevant, Fresh
Content, Analyzing Ranking Factors, Using
Advanced Search Techniques, Vertical Search
Techniques, Country Specific search engines.
Determining SEO Objective and Finding Your
Site’s Audience – Setting SEO Goals and Objective

Developing SEO plans Prior to Site Development,

SEO for Raw traffic ; E-commerce Sales;
Mindshare/Branding; Direct Marketing; Reputation
Management; Ideological Influence

II Search Engine Getting started SEO: Defining Your Site’s 09 CO1

Optimization Information Architecture, Auditing an Existing Site
to identify SEO Problems, Identifying Current CO2
Server Statistic Software and Gaining Access –
Determining Top competitors, Benchmarking
Current Indexing Status, Current Rankings,
Benchmarking Current Traffic Source and
Volumes, Conduct SEO/Website SWOT analysis.

Keyword Generation – Creating Pages – Website

Structure- Creating Content-Creating
Communities-
building Links-Using Google Analytics-Social
Media Optimization-Creating Pay-per-click
Campaigns- Optimizing PPC Campaigns through
Quality Score optimization - Tracking Results
and Measuring Success.

III Web Services Web Services: Introduction to Web Services, XML, 08 CO1
XSL, XSLT, WSDL, SOAP, UDDI, Transaction,
Business Process Execution Language for web CO2
Services, WS-Security and web service security
CO3
specification, WS-Reliable Messaging, WS-Policy,
WS-Attachments. REST-ful web services,
Resource Oriented Architecture, Comparison of
REST, SOA, SOAP.
IV Rich Internet Introduction to AJAX, Blogs, Wikis, RSS feeds 08 CO4
Application
Working with Java Script Object Notation
(JSON), Implement JSON on server side,

University of Mumbai, B. E. (Information Technology), Rev 2016 153

 Implementing Security and Accessibility in AJAX
Applications: Secure AJAX application, Accessible
Rich Internet Applications
Developing RIA using AJAX Techniques: CSS,
HTML, DOM, XMLHTTPRequest, JavaScript,
PHP, AJAX as REST Client

Introduction to Open Source Frameworks and

CMS for RIA: Django, Drupal, Joomla
introduction and comparison.

V Web Analytics 2.0 Introduction to Web Analytics 2.0 1: State of the 08 CO4
Analytics Union, State of the Industry, Rethinking
Web Analytics: Meet Web Analytics 2.0, Optimal CO5
Strategy for Choosing Your Web Analytics Soul
Mate. The Awesome World of Clickstream
Analysis: Metrics. The Key to Glory: Measuring
Success. Failing Faster: Unleashing the Power of
Testing and Experimentation.
VI Web 3.0 and Web 3.0 and Semantic Web: Challenges, 08 CO4
Semantic Web Components,
Semantic Web Stack: RDF, RDF Schema (RDFS), CO5
Simple Knowledge Organization System (SKOS),
CO6
SPARQL as RDF query language, N-Triples as a
format for storing and transmitting data, Turtle
(Terse RDF Triple Language), Web Ontology
Language (OWL) a family of knowledge
representation languages, Rule Interchange Format
(RIF), a framework of web rule language dialects
supporting rule interchange on the Web

Text Books:

1. The Art of SEO O’Reilly Publication

2. Web Services Essentials by Ethan Cerami O'Reilly Media
3. Web Analytics 2.0: The Art of Online Accountability and Science of Customer Centricity, by
Avinash Kaushik, ISBN: 978-0-470-52939-3, wiley publication.
4. “Semantic Web Technologies: Trends and Research in Ontology-based Systems”, by John Davies,
Rudi Studer, and Paul Warren John, Wiley & Son'
5. Advance Internet Technology by Dr. Deven Shah Dreamtech.

References:
1. RESTful Web Services, By Leonard Richardson, Sam Ruby, O'Reilly Media
2. Rich Internet Application AJAX and Beyond WROX press
3. Handbook of Semantic Web Technologies, by John Domingue, Dieter Fensel, Springer Reference
4. Tim O’Reilly, What is Web 2.0? : Design Patterns and Business Models for the Next Generation of
Software, O’REILLY

University of Mumbai, B. E. (Information Technology), Rev 2016 154

Assessment:

Internal Assessment for 20 marks:

Consisting of Two Compulsory Class Tests
Approximately 40% to 50% of syllabus content must be covered in First test and remaining 40% to
50% of syllabus contents must be covered in second test.

End Semester Examination: Some guidelines for setting the question papers are as:
 Weightage of each module in end semester examination is
expected to be/will be proportional to number of respective lecture
hours mentioned in the syllabus.
 Question paper will comprise of total six questions, each
carrying 20 marks.
 Q.1 will be compulsory and should cover maximum contents of
the syllabus.
 Remaining question will be mixed in nature (for example if Q.2
has part (a) from module 3 then part (b) will be from any other
module. (Randomly selected from all the modules.)
 Total four questions need to be solved.

University of Mumbai, B. E. (Information Technology), Rev 2016 155

Course Code Course Theory Practical Tutorial Theory Practical/ Tutorial Total
Name Oral
ITDLO6022 Software 04 -- -- 04 -- -- 04
Architecture

Examination Scheme

Theory Marks
Course Code Course Name Oral &
Internal assessment End Term Practical Total
Sem. Work
Avg. of
Test1 Test2 Exam
two Tests

ITDLO6022 Software
20 20 20 80 -- -- 100
Architecture

Course Objectives: Students will try:

1. To understand importance of architecture in building effective, efficient, competitive software

product.
2. To understand principal design decisions governing the system.
3. To understand role of architecture in software engineering
4. To understand designing application from architectural perspective
5. To understand different notations used for capturing design decisions.
6. To understand different functional and non-functional properties of complex software systems.

Course Outcomes Students will be able to:

1. Students will cite knowledge of various approaches to document a software system

(Remembering)
2. Students will be able to describe functional and non-functional requirements (Understanding)
3. Students will be able to use proper architecture for software (Applying)
4. Students will be able to categorize different components used in the software system
(Analyzing)
5. Students will be able to choose from different architectural styles (Evaluating)
6. Students will be able to improve quality of software by selecting proper architecture (Creating)

Prerequisite: Programming Language, UML

University of Mumbai, B. E. (Information Technology), Rev 2016 156

Detailed syllabus:

Sr. Module Detailed Content Hours CO

No. Mapping

0 Prerequisite Power of analogy: Architecture of 02 CO1

the building, limitations of analogy,
The reorientation of software
engineering,

I Introduction to Evolution of Software 07 CO1

Software Development, Fundamentals of
Architecture and Software Engineering, Elements of CO2
Software Product Software Architecture.
Life Cycle Management View, Software
Engineering View, Engineering
Design View, Architectural View,

II Architectural Understanding the problem, 09 CO1

Design Process Identifying design elements and
and Introduction to their relationship, Evaluating the CO2
Software Design Architecture, Transforming the
CO3
Architecture, Problems in Software
Architectural Design, Function
form and Fabrication, The scope of
Design, Psychology and Philosophy
of Design, General Methodology of
Design

III Complexity, Complexity, Modularity, What are 09 CO1

Modularity, Models, What are Models used for,
Models and What roles do Models Play, CO4
Knowledge Modeling the Problem and Solution
Representation Domain, Views,

IV Architecture Goals of Architecture 09 CO4

Representation and Representation, Foundation of
Architectural Architectural Representation,
Design Principles Architectural Description
Language, Architectural Level of
Design, Architecting with Design
Operators, Functional Design
Strategies.

V Architectural Defining Architectural Patterns and 08 CO4

Styles, Patterns Style, Common Architectural
and Meta models Styles, Understanding Metamodels, CO5
Applying Reference Models,
Fundamental Metamodel for
describing Software Component

VI Architectural Standardizing Architectural 08 CO1

Description and Description, Creating an
Architectural Architectural Description, Applying
University of Mumbai, B. E. (Information Technology), Rev 2016 157
 Framework, Architectural Description, Software CO6
Architecture Architecture Framework, 4+1 View
Quality Model of Architecture, Reference
Model for Open Distributed
Processing, Importance of
Assessing Software Quality, How
to improve Quality. DevOps
practice and Architecture.

Text Books:
1. The Art of Software Architecture: Design Methods and Techniques, Stephen T.Albin, Wiley
India Private Limited.
2. Software Architecture, Foundations, Theory, and Practise, Richard Taylor, Nenad Medvidovic,
Eric M Dashofy, Wiley Student Edition.

References:
1. Software Architecture in Practice by Len Bass, Paul Clements, Rick Kazman, Pearson.
2. DevOps A Software Architect’s Perspective, Len Bass, Ingo Weber, Liming Zhu, Addison
Wesley

Assessment:

Internal Assessment for 20 marks:

Consisting of Two Compulsory Class Tests
Approximately 40% to 50% of syllabus content must be covered in First test and remaining 40% to
50% of syllabus contents must be covered in second test.

End Semester Examination: Some guidelines for setting the question papers are as:
 Weightage of each module in end semester examination is
expected to be/will be proportional to number of respective lecture
hours mentioned in the syllabus.
 Question paper will comprise of total six questions, each
carrying 20 marks.
 Q.1 will be compulsory and should cover maximum contents of
the syllabus.
 Remaining question will be mixed in nature (for example if Q.2
has part (a) from module 3 then part (b) will be from any other
module. (Randomly selected from all the modules.)
 Total four questions need to be solved.

University of Mumbai, B. E. (Information Technology), Rev 2016 158

Course Code Course Name Theory Practical Tutorial Theory Practical/Oral Tutorial Total

ITDLO6023 Digital 04 -- - 04 -- - 04
Forensics

Examination Scheme

Theory Marks
Course Oral &
Course Code Internal assessment
Name Term Practical Total
End Sem. Work
Avg. of
Exam
Test1 Test2 two
Tests

ITDLO6023 Digital
Forensics 20 20 20 80 -- -- 100

Course Objectives: Students will try:

1. To understand underlying principles and many of the techniques associated with the digital
forensic practices and cyber crime
2. To explore practical knowledge about ethical hacking Methodology.
3. To learn the importance of evidence handling and storage for various devices
4. To develop an excellent understanding of current cyber security issues (Computer Security
Incident) and analyzed the ways that exploits in securities.
5. To investigate attacks, IDS .technical exploits and router attacks and “Trap and Trace”
computer networks.
6. To apply digital forensic knowledge to use computer forensic tools and investigation report
writing.

Course Outcomes: Student will able to:

1. Define the concept of ethical hacking and its associated applications in Information
Communication Technology (ICT) world.
2. Underline the need of digital forensic and role of digital evidences .
3. Explain the methodology of incident response and various security issues in ICT world, and
identify digital forensic tools for data collection .
4. Recognize the importance of digital forensic duplication and various tools for analysis to
achieve adequate perspectives of digital forensic investigation in various applications /devices
like Windows/Unix system.
5. Apply the knowledge of IDS to secure network and performing router and network analysis
6. List the method to generate legal evidence and supporting investigation reports and will also
be able to use various digital forensic tools .

Prerequisite: Cryptography and Security, Computer Networks

University of Mumbai, B. E. (Information Technology), Rev 2016 159

Detailed syllabus:

Sr. Hours CO
Module Detailed Content
No. Mapping

Cryptography and Security ,Computer 2

Prerequisite
Networks

I
Introduction of Cybercrime: Types
of cybercrime ,categories of
cybercrime , Computers' roles in CO1
crimes, Prevention from Cyber crime,
Introduction to Hackers, Crackers, Phreakers
Cyber Crime
6
and
Ethical Hacking :Difference between
Ethical Hacking
Hacking and Ethical hacking : Steps of
Ethical Hacking, Exploring some tools
for ethical hacking: reconnaisance
tools, scanning tools

II
Digital Forensic ,Rules for Digital CO2
Forensic The Need for Digital
Introduction to
Forensics, Types of Digital Forensics,
Digital
Ethics in Digital Forensics,
Forensics and 6
Digital
Digital Evidences : Types and
Evidences
characteristics and challenges for
Evidence Handling

III Introduction to Computer Security

Incident Goals of Incident response,
Incident Response Methodology,
Formulating Response Strategy,
Computer
IR Process – Initial Response,
Security Investigation, Remediation, Tracking
Incident of Significant ,Investigative
11
Response Information, Reporting
Methodology
Pre Incident Preparation, Incident CO3
Detection and Characterization.

Live Data Collection :

Live Data Collection on Microsoft
Windows Systems: Live Data

University of Mumbai, B. E. (Information Technology), Rev 2016 160

 Collection on Unix-Based Systems

IV
Forensic Duplication

Forensic Image Formats, Traditional

Duplication, Live System Duplication,
Forensic Duplication tools

Disk and File System Analysis:

Media Analysis Concepts, File System
Abstraction Model

The Sleuth Kit : Installing the Sleuth

Kit , Sleuth Kit Tools
Forensic
Duplication and Partitioning and Disk Layouts :
Disk Analysis, Partition Identification and Recovery,
11
Redundant Array of Inexpensive Disks
and
Investigation Special Containers : Virtual Machine
Disk Images , Forensic Containers
Hashing, Carving : Foremost ,
Forensic Imaging : Deleted Data , File CO4
Slack , dd , dcfldd , dc3dd

Data Analysis

Analysis Methodology Investigating

Windows systems , Investigating
UNIX systems , Investigating
Applications, Web Browsers, Email,
Malware Handling: Static and
Dynamic Analysis

V
Technical Exploits and Password
Cracking ,

Introduction to Intrusion Detection

systems, Types of IDS
Network
Understanding Network intrusion and
Forensics 9
attacks , Analyzing Network Traffic,
Collecting Network based evidence, CO5
Evidence Handling.

Investigating Routers, Handling

Router Table Manipulation Incidents,
Using Routers as Response Tools

VI Forensic
Investigation Report :Goals of Report, Layout of an
University of Mumbai, B. E. (Information Technology), Rev 2016 161
 Report and Investigative Report, Guidelines for
Forensic Tools Writing a Report, sample for writing a
forensic report .
7
Computer Forensic Tools : need and CO6
types of computer forensic tools, task
performed by computer forensic tools .
Study of open source Tools like SFIT,
Autopsy etc. to acquire, search,
analyze and store digital evidence

Text Books:

1. Jason Luttgens, Matthew Pepe, Kevin Mandia, “Incident Response and computer forensics”,3rd
Edition Tata McGraw Hill, 2014.
2. Nilakshi Jain, Dhananjay Kalbande, ”Digital Forensic : The fascinating world of Digital
Evidences ” Wiley India Pvt Ltd 2017.
3. Cory Altheide, Harlan Carvey ”Digital forensics with open source tools “Syngress Publishing,
Inc. 2011.
4. Chris McNab, Network Security Assessment, By O’Reily.

References:

1. Clint P Garrison “Digital Forensics for Network, Internet, and Cloud Computing A forensic
evidence guide for moving targets and data , Syngress Publishing, Inc. 2010
2. Bill Nelson,Amelia Phillips,Christopher Steuart, “Guide to Computer Forensics and
Investigations” . Cengage Learning, 2014
3. Debra Littlejohn Shinder Michael Cross “Scene of the Cybercrime: Computer Forensics
Handbook”, 2nd Edition Syngress Publishing, Inc.2008.
4. Marjie T. Britz, Computer Forensics and Cyber Crime, Pearson, Third Edition.

Assessment:

Internal Assessment for 20 marks:

Consisting of Two Compulsory Class Tests
Approximately 40% to 50% of syllabus content must be covered in First test and remaining 40% to
50% of syllabus contents must be covered in second test.

End Semester Examination: Some guidelines for setting the question papers are as:
 Weightage of each module in end semester examination is
expected to be/will be proportional to number of respective lecture
hours mentioned in the syllabus.
 Question paper will comprise of total six questions, each
carrying 20 marks.
 Q.1 will be compulsory and should cover maximum contents of
the syllabus.
 Remaining question will be mixed in nature (for example if Q.2
has part (a) from module 3 then part (b) will be from any other
module. (Randomly selected from all the modules.)
 Total four questions need to be solved.

University of Mumbai, B. E. (Information Technology), Rev 2016 162

Course Code Course Theory Practical Tutorial Theory Practical/Oral Tutorial Total
Name
ITDLO6024 Multimedia 04 -- --- 04 -- -- 04
Systems

Examination Scheme

Theory Marks
Course Course Oral &
Code Name Internal assessment End Term Practical Total
Sem. Work
Avg. of
Test1 Test2 Exam
two Tests

ITDLO60 Multimedia
24 Systems 20 20 20 80 -- -- 100

Course Objectives: Students will try:

1. To learn and understand technical aspect of Multimedia Systems.

2. To understand the standards available for different audio, video and text applications.
3. To Design and develop various Multimedia Systems applicable in real time.
4. To learn various multimedia authoring systems.
5. To understand various networking aspects used for multimedia applications.
6. To develop multimedia application and analyze the performance of the same.

Course Outcomes: Students will be able to:

1. Developed understanding of technical aspect of Multimedia Systems.

2. Understand various file formats for audio, video and text media.
3. Develop various Multimedia Systems applicable in real time.
4. Design interactive multimedia software.
5. Apply various networking protocols for multimedia applications.
6. To evaluate multimedia application for its optimum performance.

Prerequisite: Knowledge of computer graphics, computer networking and database systems.

Detailed syllabus:

Sr. Module Detailed Content Hours CO

No. Mapping

0 Prerequisite Basic of database, computer networks and 2 --

computer graphics.

I Multimedia Multimedia Elements. Multimedia Systems 9 CO1

Systems Design: Architecture, Evolving Technologies for
An Introduction Multimedia Systems, Defining Objects For
University of Mumbai, B. E. (Information Technology), Rev 2016 163
 Multimedia Systems. Multimedia Data Interface
Standards. The Need for Data Compression.
Multimedia applications including digital
libraries, system software , streaming videos and
its applications.
II Compression and Types of Compression. Image Compression 10 CO1
Decompression Schemes. Video Compression. Audio
Data and File Compression. CO2
Format Standards Rich-Text Format. TIFF File Format. Resource
Interchange File Format (RIFF), MIDI File
Format. JPEG DIB File Format for Still and
Motion Images. JPEG Still Image. AVI video
File Format. MPEG Standards.

III Multimedia Multimedia Application Classes. Types of 8 CO1

Application Multimedia Systems. Virtual Reality Design.
Design Components of Multimedia Systems. CO2
Multimedia database issues and solutions.
CO3
Organizing Multimedia Databases.

IV Multimedia Multimedia Authoring Systems. Hypermedia 7 CO4

Authoring, User Application Design Considerations. User
Interface and Interface Design. Information Access. Object
Display/Playback Issues

V Distributed Components of a Distributed Multimedia 8 CO4

Multimedia System. Distributed Client-Server Operation.
Systems Middleware in Distributed Workgroup CO5
Computing. Multiserver Network Topologies.
Distributed Multimedia Databases. Managing
Distributed Objects. Application Workflow
Design Issues. Distributed Application Design
Issues

VI System Design: Fundamental Design Issues. Determining 8 CO5

Methodology and Enterprise Requirements. Examining Current
Considerations. Architecture and Feasibility. Performance CO6
Analysis. Designing for Performance
Multimedia System Design. System
Extensibility. Multimedia Systems Design
Example.

Text Books:

1. Prabhat K. Andleigh, Kiran Thakrar “Multimedia Systems Design” 1/e, Pearson , ISBN
978-93-325-4938-8
2. Fundamentals of Multimedia by Ze-Nian Li& Mark.S.Drew
3. Introduction to Multimedia Communication, Application, Middleware, Networking by
K.R.Roa, Zoran S,Bojkovic & Dragorad A. Milovanovic.

References:

University of Mumbai, B. E. (Information Technology), Rev 2016 164

 1. Organization of Multimedia Resources: Principles and Practice of Information
Retrieval by Mary A. Burke
2. Multimedia Systems Design by Prabhat K.Andleigh/ Kiran Thakrar

Assessment:

Internal Assessment for 20 marks:

Consisting of Two Compulsory Class Tests
Approximately 40% to 50% of syllabus content must be covered in First test and remaining 40% to
50% of syllabus contents must be covered in second test.

End Semester Examination: Some guidelines for setting the question papers are as:
 Weightage of each module in end semester examination is
expected to be/will be proportional to number of respective lecture
hours mentioned in the syllabus.
 Question paper will comprise of total six questions, each
carrying 20 marks.
 Q.1 will be compulsory and should cover maximum contents of
the syllabus.
 Remaining question will be mixed in nature (for example if Q.2
has part (a) from module 3 then part (b) will be from any other
module. (Randomly selected from all the modules.)
 Total four questions need to be solved.

University of Mumbai, B. E. (Information Technology), Rev 2016 165

Course Code Course Theory Practical Tutorial Theory Practical Tutorial Total
Name /Oral
ITDLO6025 Green IT 04 -- -- 04 -- -- 04

Examination Scheme

Theory Marks
Course Oral &
Course Name
Code Internal assessment End Term Practical Total
Sem. Work
Avg. of
Test1 Test2 Exam
two Tests

ITDLO6025 Green IT
20 20 20 80 -- -- 100

Course Objectives: Students will try:

1. To understand what Green IT is and How it can help improve environmental Sustainability
2. To understand the principles and practices of Green IT.
3. To understand how Green IT is adopted or deployed in enterprises.
4. To understand how data centres, cloud computing, storage systems, software and networks can
be made greener.
5. To measure the Maturity of Sustainable ICT world.
6. To implement the concept of Green IT in Information Assurance in Communication and
Social Media and all other commercial field.

Course Outcomes: Students will be able to:

1. Describe awareness among stakeholders and promote green agenda and green initiatives in
their working environments leading to green movement
2. Identify IT Infrastructure Management and Green Data Centre Metrics for software
development
3. Recognize Objectives of Green Network Protocols for Data communication.
4. Use Green IT Strategies and metrics for ICT development.
5. Illustrate various green IT services and its roles.
6. Use new career opportunities available in IT profession, audits and others with special skills
such as energy efficiency, ethical IT assets disposal, carbon footprint estimation, reporting and
development of green products, applications and services.

Prerequisite: Environmental Studies

University of Mumbai, B. E. (Information Technology), Rev 2016 166

Detailed syllabus:

Sr. Module Detailed Content Hours CO

No. Mapping

0 Prerequisite Environmental Studies 2

I Introduction Environmental Impacts of IT, 9 CO1

Holistic Approach to Greening IT,
Green IT Standards and Eco-
Labeling, Enterprise Green IT
Strategy , Green IT: Burden or
Opportunity?
Hardware: Life Cycle of a Device
or Hardware, Reuse, Recycle and
Dispose.
Software: Introduction, Energy-
Saving Software Techniques,
Evaluating and Measuring Software
Impact to Platform Power.
II Software 9 CO1
development and Sustainable Software, Software
data centers Sustainability Attributes, Software CO2
Sustainability Metrics, Sustainable
Software Methodology, Data
Centres and Associated Energy
Challenges, Data Centre IT
Infrastructure, Data Centre Facility
Infrastructure: Implications for
Energy Efficiency, IT Infrastructure
Management, Green Data Centre
Metrics

III Data storage and Storage Media Power 9 CO1

communication Characteristics, Energy
Management Techniques for Hard CO3
Disks, System-Level Energy
Management, Objectives of Green
Network Protocols, Green Network
Protocols and Standards.
IV Information Approaching Green IT Strategies, 8 CO1
systems, green it Business Drivers of Green IT
strategy and Strategy, Business Dimensions for CO4
metrics Green IT Transformation,
Multilevel Sustainable Information,
Sustainability Hierarchy Models,
Product Level Information,
Individual Level Information,
Functional Level Information,
Organizational Level Information,
Regional/City Level Information,
Measuring the Maturity of
Sustainable ICT.
University of Mumbai, B. E. (Information Technology), Rev 2016 167
 V Green it services Factors Driving the Development 9 CO1
and roles of Sustainable IT, Sustainable IT
Services (SITS), SITS Strategic CO4
Framework, Sustainable IT CO5
Roadmap, Organizational and
Enterprise Greening, Information
Systems in Greening Enterprises,
Greening the Enterprise: IT Usage
and Hardware, Inter-organizational
Enterprise
Activities and Green Issues,
Enablers and Making the Case for
IT and the Green Enterprise.

VI Managing and Strategizing Green Initiatives, 6 CO1

regulating green it Implementation of Green IT,
Information Assurance, CO5
Communication and Social Media, CO6
The Regulatory Environment and
IT Manufacturers, Nonregulatory
Government Initiatives, Industry
Associations and Standards Bodies,
Green Building Standards, Green
Data Centres, Social Movements
and Greenpeace.

Text Books:
1. San Murugesan, G. R. Gangadharan, Harnessing Green IT,WILEY 1st Edition-2013
2. Mohammad Dastbaz Colin Pattinson Babak Akhgar, Green Information Technology A Sustainable
Approach , Elsevier 2015
3. Reinhold, Carol Baroudi, and Jeffrey HillGreen IT for Dummies, Wiley 2009

References:
1. Mark O'Neil , Green IT for Sustainable Business Practice: An ISEB Foundation Guide, BCS
2.Jae H. Kim, Myung J. Lee Green IT: Technologies and Applications, Springer, ISBN: 978-3-642-
22178-1
3. Elizabeth Rogers, Thomas M. Kostigen The Green Book: The Everyday Guide to Saving the Planet
One Simple Step at a Time, Springer

University of Mumbai, B. E. (Information Technology), Rev 2016 168

Assessment:

Internal Assessment for 20 marks:

Consisting of Two Compulsory Class Tests
Approximately 40% to 50% of syllabus content must be covered in First test and remaining 40% to
50% of syllabus contents must be covered in second test.

End Semester Examination: Some guidelines for setting the question papers are as:
 Weightage of each module in end semester examination is
expected to be/will be proportional to number of respective lecture
hours mentioned in the syllabus.
 Question paper will comprise of total six questions, each
carrying 20 marks.
 Q.1 will be compulsory and should cover maximum contents of
the syllabus.
 Remaining question will be mixed in nature (for example if Q.2
has part (a) from module 3 then part (b) will be from any other
module. (Randomly selected from all the modules.)
 Total four questions need to be solved.

University of Mumbai, B. E. (Information Technology), Rev 2016 169