B.TECH.

L T P C
CS : Introduction to Game Design (IGD) 3 0 0 3

Unit – 1 Introduction 10 Hours

History of Video Games, Impact of Games on Society, Introduction to the Class, Role of the Game
Designer, Game Design, Game types, Game genres, Game Writing, UI Layout, Asset Management,
game state, gamer services, and Interactive Storytelling Understanding Hardware, Input Devices,
Output Devices, Network Requirements, Managing Game Performance, CPU vs GPU, and Graphics
Networking Performance, Dramatic elements of games and Narrative Design, Narrative Game.
Unit – 2 Game Design and Development 10 Hours
Concepts: Mathematical concepts, Collision Detection and resolution, Real-time game Physics,
Graphics, System dynamics, Challenge, Skill and Chance, Character Animation, Animate basic
characters, Transform objects, Artificial Intelligence Agents, Architecture, and Techniques, Overview
of Pathfinding, Audio Programming, Conceptualization, Communication, Networking, and Multiplayer
Unit – 3 Audio-Visual Design and Production 10 Hours
Visual Design, 3D Modelling using 3D Studio Max, 3D Environments, 2D Textures and Texture mapping,
Special Effects, Lighting, Animation, Cinematography, Audio design and production, Social play Games
as culture, Introduction to Unity and 3D games.
Unit – 4 Scripting and Development 12 Hours
Level design and properties of living things, Functionality, Completeness, and Balance, Simple
Playtesting and Quality Assurance, Design a board game, Game economies, Black Friday, the board
game, Unity Demos, Courses Wiki, Lesson Files, Managing Projects, Interface and Assets, Unity
Interfaces, Prototyping and Scripting Basics, Collection, Inventory and HUD, Building Unity Game,
Terrain, Unity Terrain Assets, Camera, Layer, GUI, Curves, Surfaces, Visible Surface.
Total Contact Time: 42 Hours

Recommended Books
1. Steve Rabin, Introduction to Game Development, Cengage Technology (2010).
2. Michael Dawson, Beginning C++ Through Game Programming, Cengage Learning (2010).
3. Kelly C., Programming 2D Games, A K Peters/CRC Press(2012).
4. A. Thorn, Learn Unity for 2D Game Development, Apress, (2013).
B.TECH. L T P C
CS : Human Computer Interface (HCI) 3 0 0 3

Unit – 1 Introduction 10 Hours

Human perception, human vision, Gestalt principles describing human visual perception, visual
structure, color vision, peripheral vision, attention, and memory, attention shapes thought and
action, recognition, and recall, learning from experience, performing learned actions, problem
solving and calculation, factors affecting learning, time requirements.
Unit – 2 System Design 12 Hours
Usability of interactive systems: guidelines, principles, and theories; development processes,
managing design processes, evaluating interface designs, software tools; interaction styles, direct
manipulation, and virtual environments, menu selection, form filling and dialog boxes, command
and natural languages, interaction devices, collaboration; design issues: Quality of Service,
balancing function and fashion, user manuals, online help, and tutorials, information search and
visualization; societal and individual impact of user interfaces
Unit – 3 Interaction Design 10 Hours
Introduction, the process, the user experience; understanding and conceptualizing interaction,
conceptual models, interface metaphors, interaction types; cognitive aspects: cognition
frameworks; social interaction; emotional interaction; interfaces: interface types, natural user
interfaces, choosing interface.
Unit – 4 System Analysis and Evaluation 10 Hours
Data gathering; data analysis, interpretation, and presentation; practical issues in the process of
interaction design; establishing requirements: data gathering and processing, task description, task
analysis; design, prototyping, and construction: conceptual design, physical design, scenarios,
prototypes; evaluation: types of evaluation, evaluation case studies, inspections: heuristic
evaluation and walkthroughs, analytics, predictive models; evaluation framework: DECIDE – a
framework to guide evaluation.
Total Contact Time: 42 Hours

Recommended Books
1. B. Shneiderman, C. Plaisant, M. Cohen and S. Jacobs, Designing the User Interface: Strategies
for Effective Human-Computer Interaction, 5th Edition, Person Education, 2009.
2. J. Johnson, Designing with the Mind in Mind: Simple Guide to Understanding User Interface
Design Rules, Elsevier/Morgan-Kaufmann, 2010.
3. H. Sharp, Y. Rogers, J. Preece, Interaction Design: Beyond Human - Computer Interaction, 3rd
edition, Wiley, 2011.
4. D. Norman, The Design of Everyday Things, Currency/ Doubleday, 1990.
B.TECH. L T P C
CS : Augmented and Virtual Reality (AVR) 2 0 2 3

Unit – 1 Introduction 05 Hours

Fundamental Concept and Components of Augmented, Virtual, Mixed, and Extended Reality. Primary
Features and Present Development on Different Realities. Augmented and Mixed Reality, Taxonomy,
technology and features of augmented reality, the difference between AR and VR, Challenges with AR
Unit – 2 Concepts of Augmented Reality 06 Hours
Major entities of Augmented Reality: Sensors, Processors, and Displays. Types of Input --Tracker,
Sensor, Digital Glove, Movement Capture, Video-based Input, 3D Menus & 3DScanner, etc. Output --
Visual /Auditory / Haptic Devices and Displays. Different types of Sensor Tracking, Different types of
Processors, Different Types of Displays. Concepts Related to AR: Dimensionality, Computer Graphics,
Depth Cues, Registration and Latency, Content Management: Types of Content, Content Creation,
Content Visualization.
Unit – 3 Concepts of Virtual Reality 06 Hours
Virtual reality tools, introduction to scientific visualization and virtual reality, hardware requirements,
sound, animation techniques, VR on flight simulation. Advanced Techniques in CG: Management of
Large Scale Environments & Real-Time Rendering.
Unit – 4 Interfaces, Interaction, and Prototyping 05 Hours
Browsing Interface, 3D AR Interfaces, Tangible Interfaces, Tangible AR Interfaces, Augmented and
Tangible Interface, Natural AR Interfaces, AR Interaction Cycle, Prototyping Cycle, Different methods
to make prototypes, Prototyping techniques, Prototyping tools, Advantages and Disadvantages of
Prototyping. Mobile AR: Advantages, Disadvantages, and Architectures.
Unit – 5 Software, Tools, and Applications 06 Hours
AR Software Production: Sensor, Application Engine, Rendering Engines. Integration of existing tools
into AR software, Virtual Reality Modelling Language (VRML), Tools: AR Toolkit, OpenGL, Unity.
Applications: Different Domains, Real-time applications. Future trends in Augmented and Virtual
Reality.
Total Contact Time: 28 Hours

Recommended Books
1. Burdea, G. C. & P. Coffet. Virtual Reality Technology, Second Edition. Wiley-IEEE Press,
2003/2006.
2. Alan B. Craig, Understanding Augmented Reality, Concepts & Applications, Morgan Kaufmann,
2013.
3. Alan Craig, William Sherman, and Jeffrey Will, Developing Virtual Reality Applications, Foundations
of Effective Design, Morgan Kaufmann, 2009.
4. LaValle "Virtual Reality", Cambridge University Press, 2016.
5. John Vince, “Virtual Reality Systems “, Pearson Education Asia, 2007.
6. Anand R., “Augmented and Virtual Reality”, Khanna Publishing House, Delhi.
 Indian Institute of Information Technology (IIIT), Surat
B.Tech - Computer Science and Engineering
List of Experiments

Subject Code Credits: 1 (0-0-2)

Augmented and Virtual Total hours: 28
CS Weeks: 14
Reality (AVR)
Course To have a hands-on session with the Augmented and Virtual Reality Tools.
Objectives
Sr. Experiment Hours
No.
1 Introduction to Virtual Reality Modeling Language (VRML) 02 Hours
2 To design 2D and 3D objects using VRML 02 Hours
3 Installation of OpenGL/Unity Tool 02 Hours
4 Hands-on available functionalities in OpenGL/Unity. 02 Hours
5 Multiplayer 2D Ping-Pong Game Development in OpenGL/Unity. 04 Hours
6 To Develop a 3D Game in OpenGL/Unity 04 Hours
7 To Develop AR applications using VRML, OpenGL, and Unity 10 Hours
Tools (Mini Project)
B.TECH. IV Semester-7 L T P C
CS 751: Block-chain Technology 3 0 0 3

Unit - 1 8 Hours
Introduction: Introduction, Background and History, Purpose and Scope, Money, Currency, Ledgers,
Bitcoin Core, Distributed Database, Two General Problem, Byzantine General problem and Fault
Tolerance, Hadoop Distributed File System, Distributed Hash Table, ASIC resistance, Turing
Complete. Cryptography: Hash function, Digital Signature - ECDSA, Memory Hard Algorithm, Zero
Knowledge Proof
Unit - 2 12 Hours
Block Chain: Introduction, Advantage over conventional distributed database, Block chain Network,
Mining Mechanism, Distributed Consensus, Merkle Patricia Tree, Gas Limit, Transactions and Fee,
Anonymity, Reward, Chain Policy, Life of Block chain application, Soft & Hard Fork, Private and
Public block chain.
Unit - 3 14 Hours
Distributed Consensus: Nakamoto consensus, Proof of Work, Proof of Stake, Proof of Burn, Difficulty
Level, Sybil Attack, Energy utilization and alternate.
Crypto Currency: History, Distributed Ledger, Bitcoin protocols - Mining strategy and rewards,
Ethereum -Construction, DAO, Smart Contract, GHOST, Vulnerability, Attacks, Side chain, Name coin
Unit - 4 8 Hours
Crypto Currency Regulation: Stakeholders, Roots of Bit coin, Legal Aspects-Crypto currency
Exchange, Black Market and Global Economy. Applications: Internet of Things, Medical Record
Management System, Domain Name Service and future of Block chain, Block chain Use Cases –
Finance, Industry, Blockchain in Government and Blockchain Security
Total Contact Time: 42 Hours

Recommended Books
1. Arvind Narayanan, Joseph Bonneau, Edward Felten, Andrew Miller and Steven Goldfeder, Bitcoin
and Cryptocurrency Technologies: A Comprehensive Introduction, Princeton University Press
2. Antonopoulos, Mastering Bitcoin: Unlocking Digital Cryptocurrencies
3. Satoshi Nakamoto, Bitcoin: A Peer-to-Peer Electronic Cash System
4. DR. Gavin Wood, “ETHEREUM: A Secure Decentralized Transaction Ledger,”Yellow paper.2014
5. Nicola Atzei, Massimo Bartoletti, and Tiziana Cimoli, A survey of attacks on Ethereum smart
contracts
B.TECH. Semester - L T P C
CS : Computer Ethics and Public Policy 3 0 0 3

Unit – 1 Introduction: Why Computer Ethics? 04 Hours

A Brief History of Computers and the Internet, Meaning of Ethics, Distinction between Law and Ethics,
Computer Ethics as a Unique Kind of Ethics
Unit – 2 Philosophical & Professional Ethics 12 Hours
Introduction of Dimensions of Ethics, Descriptive and Normative claims, Meta Ethics, Ethical Theory:
Ethical Relativism, Utilitarianism, Deontological Theories, Virtue Ethics; Individual and Social Policy
Ethics, Characteristics of Profession, Codes of Ethics and Professional Conduct, The Ethical Decision-
Making Process, Steps in the Ethical Decision-Making Process, Culture Clash on the Net case and its
solution, Wired Ethics for IT workers and IT users, Ethics after Information Retrieval
Unit – 3 Privacy Concerns and Case Studies 14 Hours
Understanding computer privacy issues, Reframing the issues, Legislative background, Global
Perspective, Proposal for better privacy protection, cybersquatting, Fake IDs, Identity Theft,
Intellectual property, Open-Source Software, Phishing, Pharming, Software Bombs, Sale of Term
Papers Online, Sale of Academic Degrees Online, Web Spoofing, Internet Fraud Case, Free Software
Case, Finals Week Case, Software Licensing: Stuck in the Middle Case, Borrowed Hardware Case, Risks
of academic Cheating by Computer Case, Cookies, Employee Monitoring, Government Surveillance,
Hackers, Fingering Case, E-mail Addresses Case, Deceased Student Case, Chain Letter Case,
Accountability of Bloggers, Online Voting, Google and Chinese Censorship Case, File Transfer Case,
Ethical Issues in Parasitic Computing
Unit – 4 Ethics and the Internet; Social Implications and Social Values 12 Hours
Significant characteristics, Hacking and Hackers ethics, New spice of old crime, Netiquette, Policy
approaches, ACM Code of Ethics and Professional Conduct, Software Engineering Code of Ethics and
Professional Practice, The Ten Commandments of Computer Ethics, The World Summit on the
Information Society, Geneva Plan of Action, Tunis Commitment, Technology and Social Change,
Embedded values and Impeded values, Democratic values in Internet, Digital Bridge or Digital divide
and access of information, Overarching and Future Issues
Total Contact Time: 42 Hours

Recommended Books
1. Johnson, Deborah G. (2001). Computer ethics, 3rd edition. Upper Saddle River, NJ: Prentice Hall.
A philosophical survey of the ethical issues arising around computer technology.
2. Moor, James H. (1985). "What Is Computer Ethics?" Metaphilosophy 16(4): 266–275. Classic piece
on why the study of computer ethics is needed.
3. Advisory Committee on Automated Personal Data Systems. Records, Computers, and the Rights
of Citizens. U. S. Department of Health, Education, and Welfare Publication No. (OS) 73–94, July
1973.
 B.TECH. L T P C
CS : Cyber Security 3 0 0 3

Prerequisite

Unit – 1 Introduction 08 Hours

Defining Cyberspace and Overview of Computer and Web-technology, Architecture of cyberspace,
Communication, and web technology, Internet, World wide web, Advent of Internet, Internet
infrastructure for data transfer and governance, Internet Society, Regulation of cyberspace, Concept
of cyber security, Issues and challenges of cyber security
Unit – 2 Cybercrime and Cyberlaw 08 Hours
Classification of cyber crimes, Common cyber crimes- cyber crime targeting computers and mobiles,
cyber crime against women and children, financial frauds, social engineering attacks, malware and
ransomware attacks, zero-day and zero click attacks, Cybercriminals modus-operandi, Reporting of
cyber crimes, Remedial and mitigation measures, Legal perspective of cybercrime, IT Act 2000 and its
amendments, Cybercrime and offenses, Organisations dealing with Cybercrime and Cyber security in
India, Case studies.
Unit – 3 Social Media Overview and Security 09 Hours
Introduction to Social Networks. Types of Social media, Social media platforms, Social media
monitoring, Hashtag, Viral content, Social media marketing, Social media privacy, Challenges,
opportunities and pitfalls in online social networks, Security issues related to social media, Flagging
and reporting of inappropriate content, Laws regarding the posting of inappropriate content, Best
practices for the use of Social media, Case studies.
Unit – 4 E-Commerce and Digital Payments 09 Hours
Definition of E-Commerce, Main components of E-Commerce, Elements of E-Commerce security, E-
Commerce threats, E-Commerce security best practices, Introduction to digital payments,
Components of digital payment and stakeholders, Modes of digital payments- Banking Cards, Unified
Payment Interface (UPI), e-Wallets, Unstructured Supplementary Service Data (USSD), Aadhar enabled
payments, Digital payments related common frauds and preventive measures. RBI guidelines on
digital payments and customer protection in unauthorized banking transactions. Relevant provisions
of the Payment Settlement Act,2007.
Unit – 5 Digital Devices Security Tools and Technologies for Cyber Security 08 Hours
End Point device and Mobile phone security, Password policy, Security patch management, Data
backup, Downloading and management of third party software, Device security policy, Cyber Security
best practices, Significance of host firewall and Ant-virus, Management of host firewall and Anti-virus,
Wi-Fi security, Configuration of basic security policy and permissions.
Total Contact Time: 42 Hours

Recommended Books
1. Cyber Crime Impact in the New Millennium, by R. C Mishra, Auther Press. Edition 2010.
2. Cyber Security Understanding Cyber Crimes, Computer Forensics and Legal Perspectives by Sumit
Belapure and Nina Godbole, Wiley India Pvt. Ltd. (First Edition, 2011)
3. Security in the Digital Age: Social Media Security Threats and Vulnerabilities by Henry A. Oliver,
Create Space Independent Publishing Platform. (Pearson, 13th November 2001)
4. Electronic Commerce by Elias M. Awad, Prentice Hall of India Pvt Ltd.
5. Cyber Laws: Intellectual Property & E-Commerce Security by Kumar K, Dominant Publishers.
6. Network Security Bible, Eric Cole, Ronald Krutz, James W. Conley, 2nd Edition, Wiley India Pvt. Ltd.
7. Fundamentals of Network Security by E. Maiwald, McGraw Hill.
B.TECH. IV Semester-7 L T P C
CS : Advanced Internet Technologies 3 0 0 3

Unit - 1 10 Hours
Internetworking: Advanced Routing Algorithms, Congestion Control and avoidance, Quality of Service,
Active Queue Management and Bufferbloat, Data Center Networks
Unit - 2 10 Hours
High-Speed Browser Networking: Primer on Latency and Bandwidth, Building Blocks of TCP, Building
Blocks of UDP, Wifi, Mobile Networks
IPv6: IPv4 deficiencies, Patching Work done with IPv4, IPv6 addressing, Multicast, Anycast, ICMPv6,
Neighbour discovery, Routing
Unit - 3 10 Hours
Software Defined Networking and OpenFlow: Centralized and Distributed Control and Data Planes,
SDN Controllers, Data Center Concepts, Network Function Virtualization, Mininet, Programming SDNs,
OpenFlow Switch, Wire Protocol, OpenStack Neutron plug-in
Unit - 4 12 Hours
Network management Protocols: SNMP, RMON, NETCONF, Network Management Tools and
Applications, Systems and Engineering
Storage and Networking: Storage and Networking Concepts, Fiber Channel Internals, Fiber Channel
SAN Topologies, Fiber Channel Products, IP SAN Technology, IP SAN Products, Management of SANs,
SAN Issues
Total Contact Time: 42 Hours

Recommended Books and URL/s

1. Paul Göransson Chuck Black Timothy Culver. Software Defined Networks A Comprehensive
Approach, Elsevier 2017
2. James Kurose, Keith Ross. Computer Networking: A Top-Down Approach, Global 8th Edition
3. ILYA GRIGORIK. High-Performance Browser Networking, https://hpbn.co/
4. Mahbub Hassan, Raj Jain. High Performance TCP/IP Networking Concepts, Issues, and Solutions
5. Mani Subramanian, Timothy A. Gonsalves, N. Usha Rani; Network Management: Principles and
Practice; Pearson Education India
6. William Stallings, High-Speed Networks and Internets, Pearson Education,
7. Muthukumaran B, Introduction to High Performance Networks, Tata Mc Graw Hill
B.TECH. L T P C

CS : Data Mining and Data Warehousing 3 0 0 3

Prerequisite

Unit – 1 Introduction 10 Hours

Introduction to Data mining: Motivation for Data Mining, its importance, Role Data in Data
Mining, Data Mining functionalities, patterns in data mining, Type of patterns, Classification
of Data Mining Systems, Major issues in Data Mining
Unit – 2 10 Hours

Data Warehousing and OLTP technology for Data Mining, Data Mining Languages, and
System Architectures, Concept Description: Characterization and Comparison, Mining
Association Rules in Large Databases
Unit – 3 12 Hours

Classification and Prediction, Cluster Analysis, Mining Complex Data, Applications and
Trends in Data Mining Characteristics of data warehouse, Data Mart, Online Analytical
Processing, OLAP tools,
Unit-4 10 Hours

Data warehouse Architecture, Organizational Issuer, Tools for Data warehousing,

Performance consideration, case studies.

Total Contact Time: 42 Hours

Recommended Books

1.J. Han & M. Kamber, Data Mining: Concepts and Techniques, Morgan Kaufmann, 2nd Ed, 2006.
2. M. J. A. Berry and G. Linoff, Mastering Data Mining: The Art and Science of Customer
Relationship Management, Wiley Computer Publishing, 2000.
3. P. Adriaans & D. Zantinge, Data Mining, Addison Wesley, 1996.
4. R. Mattison, Data Warehousing: Strategies, Tools and Techniques, McGraw Hill, 1996.
5. P. Ponniah, Data Warehousing Fundamentals: A Comprehensive Guide for IT Professionals, Wiley,
2001.
B.TECH. L T P C
CS : Wireless Sensor Networks 3 0 0 3

Prerequisite
Computer Networks

Unit – 1 Introduction 06 Hours

Introduction to mobile ad hoc networks and wireless sensor networks concepts and architectures.
Wireless LAN and PAN, IEEE 802.11 Standard, HIPERLAN, Bluetooth, Home-RF.
Unit – 2 Routing Protocols in Adhoc Network 09 Hours
Issues in Designing a Routing Protocol for Ad Hoc Wireless Networks. Classifications of Routing
Protocols. Table-Driven Routing Protocols. On-Demand Routing Protocols. Hybrid Routing Protocols.
Routing Protocols with Efficient Flooding Mechanisms. Hierarchical Routing Protocols. Power-Aware
Routing Protocols.
Unit – 3 MAC Protocols in Adhoc Network 09 Hours
Issues in Designing a MAC Protocol for Ad Hoc Wireless Networks. Design Goals of a MAC Protocol for
Ad Hoc Wireless Networks. Classifications of MAC Protocols. Contention-Based Protocols. Contention-
Based Protocols with Reservation Mechanisms. Contention-Based MAC Protocols with Scheduling
Mechanisms. MAC Protocols That Use Directional Antennas. Other MAC Protocols.
Unit – 4 Transport and Security Protocols in Adhoc Network 09 Hours
Issues in Designing a Transport Layer Protocol for Ad Hoc Wireless Networks. Design Goals of a
Transport Layer Protocol for Ad Hoc Wireless Networks. Classification of Transport Layer Solutions.
TCP Over Ad Hoc Wireless Networks. Other Transport Layer Protocols for Ad Hoc Wireless Networks.
Security in Ad Hoc Wireless Networks. Network Security Requirements. Issues and Challenges in
Security Provisioning. Network Security Attacks. Key Management. Secure Routing in Ad Hoc Wireless
Networks.
Unit – 5 Wireless Sensor Networks 09 Hours
Wireless sensor networks architecture: hardware and software components of a sensor node, OS for
WSN, WSN MAC layer strategies; naming and addressing; Clock Synchronization; Node Localization;
WSN Routing.
Total Contact Time: 42 Hours

Recommended Books
1. C Sivarama Murthy and B S Manoj, “Ad-Hoc Wireless Networks, Architectures and Protocols”, PH,
2004.
2. Labiod. H, “Wireless Adhoc and Sensor Networks”, Wiley, 2008.
3. Li, X, “Wireless ad -hoc and sensor Networks: theory and applications”, Cambridge University Press,
2008.
B.TECH. Semester- L T P C
CS : Fuzzy Logic and Neural Networks 3 0 0 3

Unit - 1 12 Hours
Fuzzy Sets and Fuzzy Relations: Introduction, Classic sets, fuzzy sets, crisp relations, fuzzy relations,
tolerance and equivalence relations
Fuzzy Inference Systems and Fuzzy Clustering: membership function, fuzzification, fuzzy inference,
defuzzification methods, fuzzy logic controller, fuzzy c-means clustering, applications of fuzzy logic,
fuzzy tolerance and equivalence relations, value assignments.
Unit - 2 10 Hours
Properties of Membership Functions, Fuzzification, and Defuzzification: Features of the Membership
Function, Various Forms, Fuzzification, Defuzzification to Crisp Sets, λ-cuts for Fuzzy Relations,
Defuzzification to Scalars.
Logic and Fuzzy Systems: Classical logic, Fuzzy logic, Fuzzy systems, Natural Language, Linguistic
Hedges, Fuzzy (Rule-Based) Systems, Graphical Techniques of Inference.
Unit - 3 10 Hours
Automated Methods for Fuzzy Systems: Definitions, batch least squares algorithm, recursive least
squares algorithm, gradient method, clustering method, learning from example, modified learning
from example.
Development of Membership Functions: Membership value assignments, intuition, inference, rank
ordering, neural networks, genetic algorithms, inductive reasoning.
Unit - 4 10 Hours
Introduction: What is neural network?, human brain and biological neuron, model of an artificial
neuron, activation functions, neural network architectures, artificial intelligence and neural
networks.
Learning Processes: What is learning?, types of learning: supervised, unsupervised and
reinforcement learning, basic learning rules: error correction learning, memory-based learning,
habbian learning, competitive learning, boltzmann learning, learning tasks.
Total Contact Time: 42 Hours

Recommended Books
1. Simon Haykin, “Neural Networks – A comprehensive Foundation”, Pearson Education, 1999.
2. T. J. Ross, “Fuzzy Logic with Engineering Applications”, Wiley, 2005.
3. S. Rajasekaran, and G. A. Vijayalakshmi Pai, “Neural Networks, Fuzzy Logic and Genetic
Algorithms: Synthesis and Applications”, PHI, New Delhi, 2004.
4. D. K. Pratihar, “Soft Computing”, Narosa Publication House, 2008.
5. J. R. Jang, C. Sun, and E. Mizutani, “Neuro-Fuzzy and Soft Computing: A Computational Approach
to Learning and Machine Intelligence”, PHI, New Delhi, 2012.
6. J. M. Zurada, “Introduction to Artificial Neural Systems”, West Publishing Company, 1992.
7. Bart Kosko, “Neural Networks and Fuzzy Systems: A dynamical systems approach to machine
intelligence”, PHI, 1997.
8. H. J. Zimmermann, “Fuzzy Set Theory & its Applications”, 2nd Ed., Kluwer Academic, 1991.
B.TECH. Semester- L T P C
CS : Probabilistic Graphical Model 3 0 0 3

Prerequisite
Probability Theory, Statistics, Basic Programming, Algorithm Design and Analysis

Unit – 1: Introduction 8 Hours

Introduction: Motivation, Structured Probabilistic Models, Overview and Roadmap
Probability Theory, Graphs, Bayesian Networks: Exploiting Independence Properties, Bayesian
Networks, Independencies in Graphs, From Distributions to Graphs
Undirected Graphical Models: The Misconception Example, Parameterization, Markov Network
Independencies, Parameterization Revisited, Bayesian Networks and Markov Networks, Partially
Directed Models.
Unit – 2: Learning Graphical Models and Complexity analysis 10 Hours
Learning Graphical Models: Motivation, Goals of Learning, Learning as Optimization, Learning Tasks
Parameter Estimation: Maximum Likelihood Estimation, MLE for Bayesian Networks, Bayesian
Parameter Estimation, Bayesian Parameter Estimation in Bayesian Networks, Learning Models with
Shared Parameters, Generalization Analysis.
Exact Inference (Variable Elimination): Analysis of Complexity, Variable Elimination, complexity and
Graph Structure; Exact Inference (Clique Trees): Variable Elimination and Clique Trees, Message
Passing (Sum Product), Message Passing (Belief Update), Constructing a Clique Tree.
Unit – 3: Inference 8 Hours
Particle-Based Approximate Inference: Forward Sampling, Likelihood Weighting and Importance
Sampling, Markov Chain Monte Carlo Methods, Collapsed Particles, Deterministic Search Methods
MAP Inference: Overview, Variable Elimination for (Marginal) MAP, Max-Product in Clique Trees,
Max Product Belief Propagation in Loopy Cluster Graphs, MAP as a Linear Optimization Problem,
Using Graph Cuts for MAP.
Unit – 4: Data, Models 8 Hours
Partially Observed Data: Foundations, Parameter Estimation, Bayesian Learning with Incomplete
Data, Structure Learning, Learning Models with Hidden Variables
Learning Undirected Models: Overview, The Likelihood Function, Maximum (Conditional) Likelihood
Parameter Estimation, Parameter Priors and Regularization, Learning with Approximate Inference,
Structure Learning.
Unit - 5 : Optimization 8 Hours
The Exponential Family: Introduction, Exponential Families, Factored Exponential Families, Entropy
and Relative Entropy, Projections
Inference as Optimization: Introduction, Exact Inference as Optimization, Propagation Based
Approximation, Propagation with Approximate Messages, Structured Variational Approximation.
Total Contact Time: 42 Hours

Recommended Books
1. Probabilistic Graphical Models: Principles and Techniques by Daphne Koller and Nir Friedman. MIT
Press
2. Modeling and Reasoning with Bayesian networks by Adnan Darwiche.
3. Pattern Recognition and Machine Learning by Chris Bishop.
4. Machine Learning: a Probabilistic Perspective by Kevin P. Murphy.
5. Information Theory, Inference, and Learning Algorithms by David J. C. Mackay.
6. Bayesian Reasoning and Machine Learning by David Barber.
7. Graphical models, exponential families, and variational inference by Martin J. Wainwright and
Michael I. Jordan.
8. http://www.cs.cmu.edu/~epxing/Class/10708-14/lecture.html
9. https://cs.stanford.edu/~ermon/cs228/index.html
10. https://ermongroup.github.io/cs228-notes/
11. http://people.csail.mit.edu/dsontag/courses/pgm13/
B.TECH. L T P C
CS : Deep Learning (DL) 2 0 2 3

Prerequisite

Unit – 1 Introduction 06 Hours

Brief introduction to neural networks. Error Cost Function, Mean-Square Error, Cross-Entropy.
Linear vs Non-linear functions: Activation Function – Linear, Sigmoid, Softmax, Relu.
Optimization: Gradient Descent Algorithm, Momentum Based Gradient Descent Algorithm
Unit – 2 Feedback Networks 06 Hours
Algorithm for Pattern Association/Reconstruction: Associative memory networks, Hetero
Associative Memory neural networks, Auto Associative Memory Networks, Bi-directional
Associative memory networks. Feedback Networks: Discrete Hopfield Net, Continuous Hopfield
Network
Unit – 3 Convolutional Neural Networks 8 Hours
Convolutional Neural Network: Architecture, Convolution Operation, Filters, Pooling Operation –
Max pooling, Average pooling, Global pooling. Dilated CNN. Evaluation metrics.
Dense Embeddings: word2vec – Skip-gram model, Continuous Bag Of Words (CBOW) Model.
Unit – 4 Recurrent Neural Network 8 Hours
Deep Recurrent Neural Network: Long Short Term Memory (LSTM) – Architecture. Gated Recurrent
Unit (GRU). Attention Mechanism. Recursive Neural Network.
Models (CNN, RNN and LSTM network) for real-time applications.
Total Contact Time: 28 Hours

Recommended Books
1. Neural Network by Simon Haykin, Pearson Education/PHI
2. Deep Learning, Part II. Goodfellow, I., Bengio, Y., Courville, A., MIT Press, 2016.
3. Learning deep architectures for AI. Bengio, Yoshua. Foundations and trends in Machine
Learning 2.1 (2009): 1127.
 Indian Institute of Information Technology (IIIT), Surat
B.Tech - Computer Science and Engineering
List of Experiments

Subject Code CS Deep Learning (DL) Credits: 1 (0-0-2)

Total hours: 28
Weeks: 14
Course Objectives Student will be able to know working of deep architectures like
convolutional neural network and variants of recurrent neural network
Sr. No. Experiment Hours
1 Installation and working on various tools viz. Python, 2 hours
ANACONDA, Tensorflow, Keras, Google Colab, etc.
2 Understanding key technology foundations required 2 hours
application setup for different domain with Deep Learning.
Developing Neural Networks for Regression analysis
3 Developing data crawling system for implementing real- 4 hours
time problems with deep learning. Implementation of
associative memory network.
4 Development of real-time data based application using 4 hours
deep learning algorithms. Use of Word Embedding.
Implementations of Self Organizing map.
5 Image pre-processing techniques, their advantages and 2 hours
implementations.
6 Development of auto labelling data (text, images, audio, 2 hours
video) algorithms using Python
7 Use of machine learning and deep learning techniques for 6 hours
solving image related problems.
8 Comparative evaluation of deep learning models. 6 hours
B.TECH. L T P C

CS : Bioinformatics 3 0 0 3

Unit – 1 Introduction 08 Hours

Concepts of Cell, tissue, types of cell, components of cell, organelle. Functions of different
organelles.Concepts of DNA: Basic Structure of DNA; Double Helix structure; Watson and
crick model. Exons andIntrons and Gene Concept. Concepts of RNA: Basic structure,
Difference between RNA and DNA. Types of RNA. Concept of Protein: Basic components
and structure. Introduction to Central Dogma: Transcription andTranslation, Introduction to
Metabolic Pathways.
Unit – 2 08 Hours

Introduction to Bioinformatics. Recent challenges in Bioinformatics. Protein Sequence

Databases, DNAsequence databases. sequence database search programs like BLAST and
FASTA. NCBI different modules: GenBank; OMIM, Taxonomy browser ,PubMed.
Unit – 3 10 Hours

DNA Mapping and Assembly: Size of Human DNA, Copying DNA: Polymerase Chain
Reaction (PCR), Hybridization and Microarrays, Cutting DNA into Fragments, Sequencing
Short DNA Molecules, Mapping Long DNA Molecules. De-Bruijn Graph. Sequence
Alignment: Introduction, local and global alignment, pairwise and multiple alignment,
Dynamic Programming Concept. Alignment algorithms: Needleman and Wunsch algorithm,
Smith-Waterman.
Unit-4 10 Hours

Probabilistic Models; Hidden Markov Model: Concepts, Architecture, Transition matrix,

estimation matrix. Application of HMM in Bioinformatics: Gene- finding, profile searches,
multiple sequence alignment and regulatory site identification. Bayesian networks Model:
Architecture, Principle, Application in Bioinformatics.

Unit 5 06 Hours

Assigning protein function and predicting splice sites: Decision Tree Gene Expression
Clustering. K Means Algorithm

Total Contact Time: 42 Hours

Recommended Books
1.Vavid W.Mount: Bioinformatics: Sequence and Genome analysis

2. Arthur M.Leok: Introduction to Bioinformatics, Oxford

3. Rastogi et.al: Bioinformatics-Methods and applications genomics, Proteomics and Drug

Discovery, Prentice Hall.

4. Dan Gasfield: Algorithms on Strings, Trees and Sequences, Computer Science and
Computational Biology, Cambridge University Press

5. M.S.Waterman: Introduction to Computational Biology: Maps, Sequences and Genomes,1995.

6. Gibes, Jam beck: Developing Bio-informatics Computer Skills, SPD.

B.TECH. L T P C
CS : Distributed Computing Systems(DCS) 3 0 0 3

Prerequisite
Operating Systems, Computer Architecture & Organisation, Database Management System, Data
Structures

Unit – 1 Introduction 08 Hours

Introduction Distributed Systems and Applications, Distributed vs parallel systems, models of
distributed systems, Message Passing mechanisms IPC and RPC.
Unit – 2 Concepts of DCS 12 Hours
Clock synchronization, physical & logical clocks, vector clocks, verifying clock algorithms, mutual
exclusion using time stamps, election algorithms, Distributed mutual exclusion using time stamps,
tokens & quorums, centralized & distributed algorithms, proof of correctness & complexity,
drinking philosophers problem, Implementation & performance evaluation of DME Algorithms.
Unit – 3 System Design 12 Hours
Leader election algorithms, global states, global predicates, termination detection, Control of
distributed computation, disjunctive predicates, and performance evaluation of leader election
algorithms on simulated environments.
Unit – 4 Application and Security 10 Hours
Distributed File Systems and Services, Shared data, Synchronization Transactions, and Concurrency
Control. Distributed databases, Name service, Timing & Coordination, Replication, Security, and
Fault Tolerance.
Total Contact Time: 42 Hours

Recommended Books
1. Vijay K Garg “Elements of Distributed Computing”, Wiley & Sons, 2002.
2. Pradeep Sinha, “Distributed Operating Systems- Concepts and Design”, PHI, 2000.
3. A.S. Tanenbaum and M.V. Steen, “Distributed Systems – Principles and Paradigms”, PHI.2003.
4. George Couloris, Jean Dollimore & Time Kindberg, “Distributed Systems: Concepts & Design”,
2nd Edition, Addison Wesley 2003.
5. V. Rajaraman, C. Siva Ram Murthy, “Parallel, Computers Architecture & Programming”, PHI.
6. Khemkalyani and Singal, “Distributed Computing”.
7. Nancy Lynch, “Distributed Algorithm” (8) Singal and Shivaratri, “Distributed OS”.
 B.Tech. - Semester – L T P C
CS : MOBILE COMPUTING 3 0 0 3

UNIT 1 06 Hrs
Introduction: Introduction to Mobile Computing ,Applications of Mobile Computing,
Challenges in mobile computing, Generations of Mobile Communication Technologies -
[2G,3G,4G,5G],Multiplexing, Spread spectrum, MAC Protocols: TDMA, FDMA, CDMA.
UNIT 2 14 Hrs
Mobile Communication System: Cellular Network, GSM Network, GSM Architecture,
GPRS Network : Architecture, Comparison between GSM and GPRS
Mobility Management: Mobility, Handoff, Types of handoffs, Location management,
HLR-VLR scheme, Hierarchical scheme, Predictive location management schemes,
Mobile IP, cellular IP.
UNIT 3 12 Hrs
Ad hoc Network Routing Protocols: Ad hoc network routing protocols, Destination
sequenced distance vector algorithm, Cluster-based gateway switch routing, Global
state routing, Dynamic source routing, Ad hoc on-demand routing, Location aided
routing, Zonal routing algorithm, Multicast Routing- ODMRP
UNIT 4 10 Hrs
Mobile Transport and Application Layer : Mobile TCP, WAP, Architecture, WDP,
WTLS ,WTP, WSP ,WAE ,WTA Architecture ,WML
Data Dissemination and Management: Challenges, Data dissemination, Mobile data
replication, Mobile data caching, Mobile cache maintenance, mobile web caching,
caching in ad hoc networks

Total: 42 Hours
B.TECH. L T P C
CS : Social Network Analysis 3 0 0 3

Unit – 1 Introduction 8 Hours

Introduction of Social media data, Semantic web, Limitation of Semantic Web
Emergence of the Social Web:
Difficulty to describe Social Web, Social Network Analysis- Key Concepts and measures in network
analysis, Web based networks, Application of Social Network Analysis

Unit – 2 Modeling, Aggregating, Knowledge Representation 14 Hours

Introduction of Ontology, Role in Semantic Web, Ontology based Knowledge Representation,
Ontology language for the Semantic Web
Modeling and Aggregating Social Network data: Network Data Representation, Ontology
representation of social individuals- social relationships, Aggregating and Reasoning with Social
Network Data, Advanced Representation

Unit – 3 Extraction and Mining Communities in Social Networks 10 Hours

Association Rule Mining, Supervised Learning, Unsupervised Learning, Semi-supervised Learning,
Markov models, K-Nearest Neighbouring, Detecting Community Structure in Networks, the Evolution
of Social Networks, Extracting Evolution of Web Community from a Series of Web Archive, Temporal
Analysis on Semantic Graph using Three-Way Tensor, Decomposition, Analysis of Communities and
Their Evolutions in Dynamic Networks

Unit – 4 Predicting Human Behaviour and Privacy Issues, Visualization and 10 Hours
Application of Social Networks
User Data Management, Inference and Distribution, Enabling new human experiences, Reality
Mining, Privacy in Online Social Networks: Trust model based on Subjective Logic, Network analysis,
Transitivity analysis
Visualization and Application of Social Networks: Graph Theory- Centrality, Clustering, Matrix
representation, Visualizing online social networks with matrix-based representation, Node-Link
Diagram, Hybrid Diagram, Applications of Social Networks

Total Contact Time: 42 Hours

Recommended Books
1. Peter Mika, “Social Networks and the Semantic Web”, First Edition, Springer(2007).
2. John P. Scott, “Social Network Analysis”, (1991).
3. Song Yang, Franziska B. Keller, Lu Zheng, “Social Network Analysis: Methods and Examples”, SAGE
Publications(2016).
4. Borko Furht, “Handbook of Social Network Technologies and Applications”, 1st Edition, Springer,
(2010).
B.TECH. L T P C

CS : Information Retrieval 3 0 0 3

Prerequisite

Unit – 1 Introduction 10 Hours

Introduction: Basic IR system structure, Retrieval techniques: Boolean retrieval, term-

vocabulary, postings-lists, Dictionaries and tolerant retrieval: Wildcard queries, Spelling
correction, Phonetic correction; Inverted indices: Preprocessing steps, tokenization,
stemming, stopword removal, term weighting;

Unit – 2 Models 10 Hours

vector space model, probabilistic model, language models; Evaluation: standard test
collection, concept of relevance, precision, recall based metrics, reciprocal rank

Unit – 3 Relevance Feedback and Classifications 12 Hours

Relevance feedback and query expansion: Rocchio algorithm; Text classification: Naïve
Bayes; Text clustering: Flat Clustering, Hierarchical Clustering.

Unit-4 Web Search and link Analysis 10 hours

Web search: Structure of Web, web graph, Hidden Web, User intent, Web crawl. Link
Analysis: Web as a graph, PageRank, Hubs and Authorities; : Social search: Community-
based search activities, Question Answering, Collaborative Searching

Total Contact Time: 42 Hours

Recommended Books

1. An Introduction to Information Retrieval, By Christopher D. Manning, Prabhakar

Raghavan, Hinrich Schütze, Cambridge University Press.
2. Information Retrieval: Algorithms and Heuristics, By David A. Grossman, Ophir Frieder
B.TECH. L T P C
CS : Ethical Hacking 2 0 2 3

Prerequisite
Computer Networks, Network Security

Unit – 1 Introduction 06 Hours

Introduction and Information Security Overview, Hacking and Ethical hacking concepts, Hacker
behaviour & mindset, Hacking Methodology.
Unit – 2 07 Hours
Footprinting Concepts and Methodology, Footprinting Tools and Countermeasures, Active and
Passive Sniffing, Network Scanning Concepts and Tools, Preparation of Ethical Hacking and
Penetration Test Reports and Documents.
Unit – 3 08 Hours
Social Engineering attacks and countermeasures, Password attacks, Privilege Escalation and
Executing Applications, Network Infrastructure Vulnerabilities, IP spoofing, DNS spoofing, DoS
attacks. Web server and application vulnerabilities, SQL injection attacks, Vulnerability Analysis and
Reverse Engineering, Buffer overflow attacks. Client-side browser exploits, privilege escalation
Unit – 4 07 Hours
Malware Threats: Malware Concepts, Trojan Concepts, Virus and Worm Concepts, Malware
Analysis, Countermeasures, Anti-Malware Software, Malware Penetration Testing
Metasploit framework, Penetration testing tools in Kali Linux.
Total Contact Time: 28 Hours

Recommended Books
1. Baloch, R., Ethical Hacking and Penetration Testing Guide, Auerbach Publications, CRC Press,
2015.
2. Sagar Rahalkar, Quick Start Guide to Penetration Testing: With NMAP, OpenVAS and
Metasploit, 1st Edition, Apress publications, 2019, Softcover ISBN: 978-1- 4842-4269-8.
3. David Kennedy, Jim O'Gorman, Devon Kearns, Mati Aharoni, Metasploit: The Penetration
Tester's Guide, No Starch Press, 2011, ISBN: 159327288X,9781593272883
4. Michael Hixon, Justin Hutchens, Kali Linux. Network Scanning Cookbook, Packt Publishing, 2017,
ISBN: 139781787287907
5. Glen D. Singh, Learn Kali Linux 2019: Perform Powerful Penetration Testing Using Kali Linux,
Metasploit, Nessus, Nmap, And Wireshark, Packt Publishing, 2019, ISBN: 1789611806.
6. Christopher Hadnagy, Social Engineering: The Science of Human Hacking, 2 nd Edition, Wiley
Publisher, 2018, ISBN-13: 978- 1119433385.
 Indian Institute of Information Technology (IIIT), Surat
B.Tech - Computer Science and Engineering
List of Experiments

Name of Subject: Ethical Hacking

Subject Code:

Lab No. Name of Experiment

1 Performing footprinting using Google Hacking, website information, information
about an archived website, to extract contents of a website.
2 To trace any received email, to fetch DNS information.
3 Scanning networks, Enumeration and sniffing: Use port scanning. network scanning
tools, IDS tool, sniffing tool and generate reports.
4 Malware Threats: Worms, viruses, Trojans: Use Password cracking, Dictionary attack.
5 Use DoS attack.
6 ARP poisoning in windows, Ifconfig, ping, netstat, traceroute, Steganography tools
7 Developing and implementing malwares : Creating a simple keylogger in python,
creating a virus, creating a trojan.
8 Hacking web servers, web applications: Hacking a website by Remote File Inclusion,
Disguise as Google Bot to view hidden content of a website, to use Kaspersky for
Lifetime without Patch
9 Sql injection and : SQL injection for website hacking
10 Implement Session hijacking
11 Wireless network hacking, cloud computing security, cryptography : Using Cryptool
to encrypt and decrypt password, implement encryption and decryption using Ceaser
Cipher.
12 Pen testing : Penetration Testing using Metasploit
13 Pen testing : Penetration Testing using metasploitable
B.TECH. III Semester-5 L T P C
CS 524: Object Oriented Programming 3 0 0 3

Prerequisite
Fundamentals of Computer Programming

Introduction to JAVA 8 Hours

Basics of Java programming, Data types, Variables, Operators, Control structures including selection,
Looping, Java methods, Overloading, Math class, Arrays in java
Objects and Classes 8 Hours
Basics of objects and classes in java, Constructors, Finalizer, Visibility modifiers, Methods and
objects, Inbuilt classes like String, Character, String Buffer, File, this reference.
Inheritance and Polymorphism 8 Hours
Inheritance in java, Super and sub class, Overriding, Object class, Polymorphism, Dynamic binding,
Generic programming, Casting objects, Instance of operator, Abstract class, Interface in java,
Package in java, UTIL package
Event and GUI programming 10 Hours
Event handling in java, Event types, Mouse and key events, GUI Basics, Panels, Frames, Layout
Managers: Flow Layout, Border Layout, Grid Layout, GUI components like Buttons, Check Boxes,
Radio Buttons, Labels, Text Fields, Text Areas, Combo Boxes, Lists, Scroll Bars, Sliders, Windows,
Menus, Dialog Box, Applet and its life cycle, Introduction to swing
I/O Programming, Multithreading in JAVA 8 Hours
Text and Binary I/O, Binary I/O classes, Object I/O, Random Access Files
Thread life cycle and methods, Runnable interface, Thread synchronization, Exception handling with
try-catch-finally, Collections in java, Introduction to JavaBeans and Network Programming
Total Contact Time: 42 Hours

Recommended Books
1. Introduction to Java Programming (Comprehensive Version), Daniel Liang, Seventh Edition,
Pearson.
2. Programming in Java, Sachin Malhotra & Saurabh Chaudhary, Oxford University Press.
3. Murach’s Beginning Java 2, Doug Lowe, Joel Murach and Andrea Steelman, SPD.
4. Core Java Volume-I Fundamentals, Eight Edition, Horstmann & Cornell, Pearson Education.
5. The Complete Reference, Java 2 (Fourth Edition), Herbert Schild, TMH.