Syllabus for
Bachelor of Technology (Artificial Intelligence and Machine Learning)
Academic Year  (2023)

The objective of this course is to describe the fundamental concepts of
linear algebra along with set theory, probability theory, random process, queuing theory to
support the graduate coursework and research

2. E. Kreyszig, Advanced engineering mathematics , John Wiley publications.

ESE-100

To study  syntax, semantics, and the runtime environment of Python and R programming language. To be familiarized with universal computer programming concepts like data types, containers. To be familiarized with general computer programming concepts like conditional execution, loops & functions.  Since R, is a popular statistical programming language students will learn data reading and its manipulation and be familiar with data analysis.

Conceptual introduction: topics in computer science, algorithms; modern computer systems: hardware architecture, data representation in computers, software and operating system;

Python; basic syntax, interactive shell, editing, saving, and running a script, Data types, understanding error messages, Conditions, boolean logic, logical operators

ESE-30

To study the basics of digital circuits and learn methods and fundamental concepts used in the design of digital systems as well as   the basic structure of a digital computer and to study in detail the organization of the Control unit, the Arithmetic and Logical unit, Memory unit

Design procedure – Four variable Karnaugh Maps, Adders-Subtractors – Serial adder/Subtractor - Parallel adder/ Subtractor- Carry look ahead adder- BCD adder, Magnitude Comparator. Multiplexer/ Demultiplexer,Encoder / decoder, parity checker, Code converters. Implementation of combinational logic using MUX, ROM, PAL and PLA

2. John .M Yarbrough,” Digital Logic Applications and Design”, Thomson- Vikas Publishing house, New Delhi, 2006.

3. Carl Hamacher, Zvonko Vranesic and Safwat Zaky, 7th Edition “Computer Organization”, McGraw-Hill, 2011

ESE-30

This course aims to introduce artificial intelligence by knowledge representation using semantic networks and rules, concepts of logic in artificial intelligence, concepts of planning and learning with an introduction of the expert systems.  

Introduction, History, Intelligent Systems, Foundations of AI, Sub areas of AI, Applications. Problem Solving – State-Space Search and Control Strategies: Introduction, General Problem Solving, Characteristics of Problem, Exhaustive Searches, Heuristic Search Techniques, Iterative-Deepening A*, Constraint Satisfaction. Game Playing, Bounded Look-ahead Strategy and use of Evaluation Functions, Alpha-Beta Pruning. 

2. Patrick Henry Winston,” Artificial Intelligence”, Addison Wesley, Third edition, 2010

3. Kevin Night And Elaine Rich, Nair B., “Artificial Intelligence (SIE)”, McGraw Hill- 2008

ESE-50

To understand  the fundamental concepts and principles of signals and systems. To demonstrate spectral analysis of continuous time periodic and aperiodic signals using  Fourier and Laplace methods. Study about the characterization of total response, impulse response and frequency response of continuous and digital systems. To interpret discrete time signal by Discrete Time Fourier transforms and Z transform.  To analyse and characterization of total response, impulse response and frequency response of linear time invariant systems.

Definition, types of signals and their representations: continuous-time/discrete-time, periodic/non-periodic, even/odd, energy/power, deterministic/ random, one dimensional/ multidimensional; commonly used signals (in continuous-time as well as in discrete-time): unit impulse, unit step, unit ramp (and their interrelationships), exponential, rectangular pulse, sinusoidal; operations on continuous-time and discrete-time signals (including transformations of independent variables)

ESE-50

This mandatory course is aimed at providing a comprehensive overview of the different facets of Cyber Security.  In addition, the course will detail into specifics of Cyber Security with Cyber Laws both in Global and Indian Legal environments

Security Fundamentals-4 As Architecture Authentication Authorization Accountability, Social Media, Social Networking and Cyber Security.Cyber Laws, IT Act 2000-IT Act 2008-Laws for Cyber-Security, Comprehensive National Cyber-Security Initiative CNCI – Legalities

R2. Thomas R, Justin Peltier, John, “Information Security Fundamentals”, Auerbach Publications.

R3. AtulKahate, “Cryptography and Network Security”,  2^nd Edition, Tata McGrawHill.2003

R4. Nina Godbole, SunitBelapure, “Cyber Security”, Wiley India 1^st Edition 2011

R5. Jennifer L. Bayuk and Jason Healey and Paul Rohmeyer and Marcus Sachs, “Cyber Security Policy Guidebook”, Wiley; 1 edition , 2012

R6. Dan Shoemaker and Wm. Arthur Conklin, “Cyber security: The Essential Body Of Knowledge”,   Delmar Cengage Learning; 1 edition, 2011

R7. Stallings, “Cryptography & Network Security - Principles & Practice”, Prentice Hall, 6th Edition 2014

Maximum Marks : 50

Identify, formulate, research literature, and analyse complex engineering

problems reaching substantiated conclusions using first principles of mathematics, natural

sciences, and engineering sciences.

Divisibility and the divisibility algorithm, Euclidean algorithm, Modular arithmetic, Groups, Rings and Fields, Finite fields of the form GF(p), Polynomial arithmetic, Finite fields of the form GF(2n), Galois group of a field extensions, Fixed field and Galois extensions, Fundamental theorem of Galois Theory

ESE-50

To understand the basics of multivariate calculus and to define an objective function and constraint functions in terms of design variables, and then state the optimization problem without and with constraints. To explain graph theory and the associated  algorithms for  graph colouring and trees 

Functions, Scalar derivative, rules of differentiation, partial derivatives, Gradient, directional derivative. Vector and matrix calculus: How to find derivative of {scalar-valued, vector- valued} function with respect to a {scalar, vector}

ESE-100

This course provides an introduction to basic skill set required in the fast expanding field of machine learning. Students will learn relevant basics in machine learning such as regression, clustering and classification. In addition, this course introduces advanced Python programming as a standard and common language for machine learning. This course is proposed to meet the growing business needs of individuals skilled in artificial intelligence, data analytics, statistical programming and other software skills. The proposed course will combine theory and practice to enable the student to gain the necessary knowledge to compete in the ever changing work environment

Types of machine learning, Designing Learning systems, Perspectives and Issues, Concept Learning, Version Spaces and Candidate Elimination Algorithm, Inductive bias.

ESE-30

• Analyze and Compute FFT of a discrete time signal.
• Design the various FIR filter techniques.
• Design the various IIR filter techniques.
• Analyze the finite word length effects in signal processing.
• Learn the fundamentals of digital signal processors.

Introduction to DFT – Efficient computation of DFT- Properties of DFT – FFT algorithms – Radix-2 FFT algorithms – Decimation in Time – Decimation in Frequency algorithms –sectioned convolution- overlap add method- overlap save method.

2. S. K. Mitra- “Digital Signal Processing- A Computer based approach”, TataMc-Graw-Hill, 2001, New Delhi.

3. B. Venkataramani & M.Bhaskar, Digital Signal Processor Architecture-Programming and Application, Tata Mc-GrawHill 2002

ESE-100

The objective of this course is to impart knowledge about the engineering aspects of robotics and their applications and understand about the different sensors used in robotics

Sensor: Contact and Proximity, Position, Velocity, Force, Tactile etc.
Introduction to Cameras, Camera calibration, Geometry of Image formation, Euclidean/Similarity/Affine/Projective transformations, Vision applications in robotics

2. Thomas Braunl, “Embedded Robotics”, Second Edition, Springer, 2006.

3. Sensor & transducers, D. Patranabis, 2nd edition, PHI

2. Instrument transducers, H.K.P. Neubert, Oxford University press.

ESE-100

Fundamentals of algorithm analysis, Space and time complexity of an algorithm, Types of asymptotic notations and orders of growth, Algorithm efficiency – best case, worst case, average case, Analysis of non-recursive and recursive algorithms.

2. Ellis Horowitz, S. Sahni, Freed, “Fundamentals of Data Structures in C”,2nd edition,2015.

2. Seymour Lipschutz, Data Structures, Schaum's Outlines Series, Tata McGraw-Hill

3. Vishal Goyal, Lalit Goyal and Pawan Kumar, Simplified approach to Data Structures, Shroff publications and Distributors.

ESE- 100

Understanding and application of MATLAB and TINKERCAD for biological analysis which would results in better healthcare and any engineer, irrespective of the parent discipline (mechanical, electrical, civil, computer, electronics, etc.,) can use the disciplinary skills toward designing/improving biological systems. This course is designed to convey the essentials of human physiology.The course will introduce to the students the various fundamental concepts in MATLAB and TINKERCAD for numerical analysis and circuit design using arduino.

The students should be able to understand a broad overview of the essential concepts of blockchain technology.

Course Objectives: 

1. Understanding the concepts and the various terminologies in blockchain. 
2. Familiarizing the various types of algorithms used in distributed computing.
3. Understanding the workings of blockchain and the mining process.
4.  Analyzing the various applications of blockchain technologies.
5. Analyzing the security and privacy issues in the blockchain.

Distributed DBMS – Limitations of Distributed DBMS, Introduction to Block chain – History, Definition, Distributed Ledger, Blockchain Categories – Public, Private, Consortium, Blockchain Network and Nodes, Peer-to-Peer Network, Mining Mechanism, Generic elements of Blockchain, Features of Blockchain, and Types of Blockchain

To understand the scope and importance of environmental science towards developing a conscious community for environmental issues, both at global and local scale.  

Environment and Eco systems – Definition, Scope and importance. Components of environment. Concept and Structure of eco systems. Material Cycles – Nitrogen, Carbon, Sulphur, Phosphorous, Oxygen. Energy Flow and classification of Eco systems.   

T2Asthana and Asthana, “A text Book of Environmental Studies”, S. Chand, New Delhi, Revised Edition, 2010 [Unit: I, II, III and V]

T3Nandini. N, Sunitha. N and Tandon. S, “environmental Studies” , Sapana, Bangalore,  June 2019 [Unit: I, II, III and IV]

T4R Rajagopalan, “Environmental Studies – From Crisis to Cure”, Oxford, Seventh University Press, 2017, [Unit: I, II, III and IV]

R2.Masters, G andEla, W.P (2015), Introduction to environmental Engineering and Science, 3rd Edition. Pearson., New Delhi, 2013.

R3.Raman Sivakumar, “Principals of Environmental Science and Engineering”, Second Edition, Cengage learning Singapore, 2005.

R4.P. Meenakshi, “Elements of Environmental Science and Engineering”, Prentice Hall of India Private Limited, New Delhi, 2006.

R5.S.M. Prakash, “Environmental Studies”, Elite Publishers Mangalore, 2007

R6.ErachBharucha, “Textbook of Environmental Studies”, for UGC, University press, 2005.

R7. Dr. Pratiba Sing, Dr. AnoopSingh and Dr. PiyushMalaviya, “Textbook of Environmental and Ecology”, Acme Learning Pvt. Ltd. New Delhi.

(a) To understand the moral values that ought to guide the Engineering profession.

(b) To resolve the moral issues in the profession.

Introduction to Profession, Engineering and Professionalism, Three types of Ethics / Morality , Positive and Negative faces of Engineering Ethics

T2.  Govindarajan M, Natarajan S, Senthil Kumar V. S, “Engineering Ethics”, Prentice Hall of India, New Delhi, 2004.

R2. Charles E Harris, Michael S. Protchard and Michael J Rabins, “Engineering Ethics – Concepts and Cases”, Wadsworth Thompson Learning, United States, 2000 (Indian Reprint now available)

R3. John R Boatright, “Ethics and the Conduct of Business”, Pearson Education, New Delhi, 2003

R4. Edmund G Seebauer and Robert L Barry, “Fundamentals of Ethics for Scientists and Engineers”, Oxford University Press, Oxford, 2001.