semester-vii & viii (2018 batch)

Course Curriculum for Electrical Engineering – 2018 Batch

Semester-VII & VIII (2018 Batch)

1 EE 311 Electrical Machines and Power Electronics Lab Pratyasa and Abhijith

2 EE 314 Electronic Design Lab Naveen K

1.Student has to earn 36 credits in the fourth year.

2.Student may choose to earn Zero or 6 or 12 credits through BTP/Co-op

project.

3.The BTP/Co-op may be split in to two semesters (6 credits per semester)

4.The remaining credits should be earned thorugh Electives.

Electives for CSE VII Semester

S.No Department Course

code

Course name Instructor Pre-requisite(s) Level/

Programme

1 CSE CS 421 Logic for Computer Science

Prof. Ramchandra

Phawade

Discrete mathematics, theory of computation

B.Tech

2 CS 402 Distributed Systems Prof. Kedar

Khandeparkar

Operating Systems, Data Structures

and Algorithms, Programming in C++

B.Tech

3 CS423 Advanced topics in Embedded Systems

Prof. Gayathri A CS 301 (Computer Architecture). Exposure to Operating Systems is

preferred

B. Tech. / MS / PhD

4 CS 407 Parameterized Algorithms and

Complexity

Prof. Sandeep RB

Data Structures and Algorithms, Design and Analysis of

Algorithms

MS/B.Tech

5 CS 601 Software Development for

Scientific Computing

Prof. Nikhil Hegde

Exposure to Data Structures and Algorithms, C / C++ / Java / Matlab

MS/B.Tech

6 CS 433 Cloud Software

Development [ First Half semester course]

Prof. Girish

Dhahakshirur

Desirable: Exposure on Operating

System, Database, Cloud

Programming language (Java, .Net,

NodeJS, HTML/CSS, etc.)

B. Tech. / MS /

PhD

7 CS 305 Software Engineering Dr Raghu Hudli Data structures and algorithms,

Programming in C,C++ and Java.

B.Tech

8

CS 427 Mathematics for data science

Prof. Bharath Exposure to basic concepts in calculus and linear algebra

B.Tech

9 EE 429 Design of Power

converters

Prof. Satish Naik EE 222: Introduction to Power Electronics

or equivalent as determined by the instructor or faculty advisor.

B. Tech. / MS /

PhD

10 EE 431 Advanced Power

Systems

Prof. Pratyasa

Bhui

EE223: Introduction to Power Systems or

equivalent as determined by the instructor

or faculty advisor.

B. Tech. / MS /

PhD

11 Electrical EE 323 Digital Communication and

Coding Theory

Prof. Rahul Signals and Systems, Introduction to Communication Systems, Introduction to

Probability

Note:Those who are taken Wireless

Communication course they can not

take this course.

B.Tech

12 EE 409 Speech processing Prof. Prasanna and

Prof.

Samudhravijaya

Exposure to probability concepts. B. Tech. / MS / PhD

13 EE 414 Speech processing

Lab

Prof. Prasanna

and

Prof. Samudhravijaya

Currently taking or already taken Speech

Processing theory course

B. Tech. / MS /

PhD

14 MMAE ME 429 Solar Energy

Collector Systems

Prof. Dhiraj Nil B.Tech

15 ME 323 Introduction to Aerospace

Engineering

Prof. Meenatchidevi

M

Fluid mechanics and thermodynamics B.Tech

16 ME 421 Turbomachines Prof. Sudheer & Prof. Dhiraj

Nil B.Tech

17 ME 403 Vibrations of Linear

Systems

Prof. Shrikanth Mechanics of Materials B.Tech

18 ME 401 Finite Element

Analysis

Prof. Seshu,

Prof. Amlan,

Prof. Amar

Engineering Mechanics and

Mechanics of Materials

B.Tech

19 ME 435 Design of

Mechatronic Systems

(NPTEL course)

Prof. Sangamesh

and Prof.

Meenatchidevi M.

B. Tech. / MS /

PhD

20 Chemistry CH 405 Our Health and

Medicine

Prof. Nilkamal

Mahanta

Nil B. Tech. / MS /

PhD

21 CH 303 Bioenergy and

Biofuels

Prof. Nilkamal

Mahanta

Exposure to basic concepts in

biochemistry, chemistry, energy

B.Tech

22 CH 402 Quantum field theory Prof. B.L. Tembe Exposure to Physics, Chemistry and Mathematics

B. Tech. / MS / PhD

23 HSS HS 301 Philosophy Prof. Jolly Thomos

Nil B.Tech

24 HS 305 Principles of Finance: Instruments &

Investment

Prof. Gopal Sharan P,

Prof.Vipin Choudry

Nil B.Tech

25 HS 405 Macroeconomics Prof. Pushpa

Trivedi,

Prof. Gopal Sharan P

HS201 (for B.Tech. students) B. Tech. / MS /

PhD

26 HS 307 Introduction to

Linguistics

Prof. SRM

Prasanna, Prof. Leena Dihingia

Nil B.Tech

27 HS 403 Happiness and Well-

being

Prof. BL Tembe Nil B. Tech. / MS /

PhD

28 Mathematics MA 501 Measure Theory Prof. Amlan and Dhriti

Real analysis B. Tech. / MS / PhD

29 MA 503 Homological Algebra

(Second half)

Prof. Shreedevi

Masuti

Basics of Group Theory, Ring Theory and

Module Theory, Linear Algebra

B. Tech. / MS /

PhD

30 MA 403 Introduction to

number theory

Prof. NSN Sastry Nil B.Tech

31 MA 401 Numerical Linear

Algebra

Prof. Rekha

Kulkarni

Calculus, Linear Algebra B.Tech

32 Physics PH 402 Astrophysics for Engineers

Prof. D. Narasimha

Electricity & Magnetism, Calculus, Linear Algebra and Differential Equation

B.Tech

33 PH 301 Physics of

Photovoltaics ( First

Half Sem)

Dr. Dhriti Sundar

Ghosh

Nil B.Tech

34 PH 303 Thin-Film Science and Technology

(Second Half Sem)

Dr. Dhriti Sundar Ghosh

Nil B.Tech

Core Courses Syllabus

Name of Academic Unit: Electrical Engineering

Level: B. Tech.

Programme: B.Tech.

i Title of the course EE 311: Electrical Machines and Power

Electronics Laboratory

ii Credit Structure (L-T-P-C) (0-0-3-3)

iii Type of Course Core course

iv Semester in which normally to be

offered

Autumn

v Whether Full or Half Semester

Course

Full

vi Pre-requisite(s), if any (For the

students) – specify course number(s)

Nil

vii Course Content Experiments reinforcing concepts learnt in EE206

viii Texts/References

ix Name(s) of Instructor(s) AM

x Name(s) of other Departments/

Academic Units to whom the course is

relevant

NA

xi Is/Are there any course(s) in the

same/ other academic unit(s) which is/

are equivalent to this course? If so,

please give details.

No

xii Justification/ Need for introducing the

course

To reinforce the learning of the concepts related to

Electrical Machines and Power Electronics through

first-hand experience


Level: UG

Programme: B. Tech.

i Title of the course EE 314 Electronic Design Laboratory


iii Type of Course Core course


offered

Spring


Course

Full


students) – specify course

number(s)

All the core courses of Electrical Engineering

Department taught till 5th semester

Vii Course Content This is project-based course in which students will do

embedded systems project applying the concepts of core

EE courses.

Viii Texts/References --

Ix Name(s) of Instructor(s) --


Academic Units to whom the

course is relevant

None


same/ other academic unit(s)

which is/ are equivalent to this

course? If so, please give details.

Engineering Projects (2 Credits course)

xii Justification/ Need for introducing

the course

This projects course will train students in Engineering

system and product design.

Electives Syllabus CSE Department

Name of Academic Unit: Computer Science and Engineering

Level: B.Tech.

Programme: B.Tech

i Title of the course CS 421 Logic for Computer Science


iii Type of Course Elective course

iv Semester in which normally to be offered

Autumn


Course

Full



number(s)

Discrete Mathematics, Theory of computation.

vii Course Content* Module 1 :Propositional Logic: Syntax, Semantics, Normal Forms, Boolean Functions.

Module 2: Computational complexity of Satisfiability P

vs NP, SAT: hardest among NP.

Module 3: Syntactic SAT solvers :

Resolution, Tableaux.

Module 4:proof Systems: Semantic entailment,

Compactness, Soundess Completeness, Natural

Deduction, Gentzen Sequent Calculus, Hilbert System.

Module 5: Predicate Logic. Randomized SAT solvers.

Programming assignments: using SAT/SMT solver z3.

Viii Texts/References (1) Logic in Computer Science, Michael Huth and Mark

Ryan, Cambridge University Press.

(2) SAT/SMT by example, Dennis Yurichev.

ix Name(s) of Instructor(s) *** Ramchandra Phawade


Academic Unitsto whom the

course is relevant

Nil


same/ other academic unit(s)

which is/ are equivalent to this course? If so, please give details.

No

xii Justification/ Need for

introducing the course

This course introduces notions and methods of formal

logic from a computer science standpoint, covering

propositional logic, predicate logic and foundations of

SAT solvers. It presents applications and themes of

computer science research such as resolution and

automated deduction.

Name of the Academic Unit: Computer Science & Engineering

Level: B.Tech.

Programme: B.Tech

i Title of the course CS 402 Distributed Systems

ii Credit Structure (L-T-P-C) 3-0-0-6

iii Type of Course Elective


offered

VII


Course

Full



Operating Systems, Data Structures and

Algorithms, Programming in C++

vii Course Content Introduction to distributed systems,

Message Passing, Leader Election,

Distributed Models, Causality and

Logical Time

Logical Time, Global State & Snapshot

and Distributed Mutual Exclusion-Non-

Token and Quorum based approaches

Distributed Mutual Exclusion-Token

based approaches, Consensus &

Agreement, Checkpointing & Rollback

Recovery

Deadlock Detection, DSM and

Distributed MST

Termination Detection, Message

Ordering & Group Communication, Fault

Tolerance and Self-Stabilization, Gossip

Style communication, chord, pastry

Concurrency and Replication Control,

RPCs, Transactions

Distributed Randomized Algorithms,

DHT and P2P Computing

Case Studies: GFS, HDFS, Map Reduce

and Spark

viii Texts/References 1. Distributed Computing: Principles,

Algorithms, and Systems- Ajay D.

Kshemkalyani and Mukesh Singhal

2. Distributed Computing: Fundamentals,

Simulations and Advanced Topics-Hagit

Attiya and Jennifer Welch

3. Distributed Algorithms-Nancy Lynch

4. Elements of Distributed Computing-Vijay

K. Garg

5. Advanced Concepts in Operating

Systems-Mukesh Singhal, Niranjan G.

Shivaratri

ix Name(s) of Instructor(s) Dr. Kedar Khandeparkar


Academic Units to whom the course

is relevant


same/ other academic unit(s) which

is/ are equivalent to this course? If

so, please give details.

No


the course

Technologies such as Hadoop, Cassandra, Spark,

etc., that have emerged in the recent times are

mainly based on the principles of distributed

systems. This course aims to develop an in-depth

understanding of the various distributed

algorithms and discuss some use cases.

https://www.goodreads.com/author/show/628541.Niranjan_G_Shivaratri

https://www.goodreads.com/author/show/628541.Niranjan_G_Shivaratri

Name of the Academic Unit: Computer Science & Engineering

Level: UG/PG.

Programme: B. Tech

i Title of the course CS 423 Advanced topics in Embedded Computing



iv Semester in which normally to

be offered

July to December (Odd)

v Whether Full or

Half Semester Course

Full

vi Pre-requisite(s), if any (For

the students) – specify

course number(s)

CS 301 (Computer Architecture).

Exposure to Operating Systems is preferred.

vii Course Content Introduction to systems software in embedded platforms

Boot loader, Embedded Linux kernel (Processes, Threads,

Interrupts), Device Drivers, Scheduling Policies (including

Real Time), Memory Management, Optimizations (Data

level and Memory level), Embedded Systems Security,

Introduction to Embedded GPUs and

Accelerators, Embedded Heterogenous Programming

with Open CL Application Case Study on Embedded

Platforms – eg. Neural Network inferencing on Embedded

Platforms, Advanced Driver Assistance Systems

viii Texts/References Building Embedded Linux Systems, 2nd Edition by Gilad

Ben-Yossef, Jon Masters, Karim Yaghmour, Philippe Gerum,

O'Reilly Media, Inc. 2008

Linux Device Drivers, Third Edition By Jonathan Corbet,

Alessandro Rubini, Greg Kroah-Hartman, O'Reilly Media,

Inc. 2005

Embedded Systems: ARM Programming and Optimization

by Jason D Bakos, Elsevier, 2015

Learning Computer Architecture with Raspberry Pi by Eben

Upton, Jeff Duntemann, Ralph Roberts, Tim Mamtora, Ben

Everard, Wiley Publications, 2016

Real Time Systems by Jane S. Liu, 1 edition, Prentice Hall;

2000

Practical Embedded Security: Building Secure Resource-

Constrained Systems by Timothy Stapko, Elsevier, 2011

ix Name(s) of Instructor(s) Dr Gayathri Ananthanarayanan

x Name(s) of other

Departments/ Academic Units

to whom the course is relevant

Electrical Engineering

xi Is/Are there any course(s) in

the same/ other academic

unit(s) which is/ are equivalent

to this course? If so, please

give details.

No

Name of Academic Unit : Computer Science and Engineering

Level : MS/B.Tech

Programme : MS/B.Tech

i Title of the course CS 407 Parameterized Algorithms and Complexity ii Credit Structure (L-T-P-C) (3 0 0 6) iii Type of Course Elective course iv Semester in which normally to be

offered Spring

v Whether Full or Half Semester Course

Full

vi Prerequisite(s), if any (For the students) – specify course number(s)

Data Structures and Algorithms, Design and Analysis of Algorithms

vi i

Course Content*

Introduction. Kernelization, Bounded Search Trees, Iterative Compression, Treewidth, Advanced kernelization algorithms. Lower bounds: Fixed-parameter intractability, lower bounds based on ETH, lower bounds for kernelization.

V iii

Texts/References Textbook: (1) Parameterized Algorithms, Marek Cygan, Fedor V. Fomin, Lukasz Kowalik. Daniel Lokshtanov, Daniel Marx, Marcin Pilipczuk, Michal Pilipczuk, and Saket Sourabh. Springer. 2015

Reference: (1) Parameterized Complexity, R. G. Downey, and M. R. Fellows. Springer Science and Business Media. 2012

x Name(s) of Instructor(s) *** SRB x Name(s) of other Departments/

Academic Units to whom the course is relevant

Nil

xi Is/Are there any course(s) in the same/ other academic unit(s) which is/ are equivalent to this course? If so, please give details.

No

xi i

Justification/ Need for introducing the course

Parameterized Algorithms and Complexity is a relatively new and vibrant subfield in Theoretical Computer Science. The main focus of this area is to improve the understanding of computationally hard algorithmic problems and to device practically efficient algorithms for the same.


Level: B. Tech./MS

Programme: B.Tech./MS

i Title of the course CS 601 Software Development for Scientific Computing

ii Credit Structure (L-T-P- C)

3-0-0-6



Autumn

v Whether full or half semester course

Full

vi Pre-requisite(s), if any (for the students) – specify course number(s)

Exposure to Data Structures and Algorithms, C / C++ / Java / Matlab

vii Course content Algorithmic Patterns in Scientific Computing: dense and sparse linear algebra, structured and unstructured grid methods, particle methods (N- body, Particle-Particle, Particle-in-cell, Particle-in-a-mesh), Fast Fourier Transforms, Implementing PDEs, C++ standard template library (STL), Introduction to debugging using GDB, GMake, Doxygen, Version Control System, Profiling and Optimization, asymptotic analysis and algorithmic complexity. Mixed-language programming using C, Fortran, Matlab, and Python, Performance analysis and high-performance code, Data locality and auto tuning, Introduction to the parallel programming world.

viii Texts/References - Stroustrup C++ Language Reference

(https://www.stroustrup.com/4th.html)

- Suely Oliveira, David Steward: Writing Scientific Software: A

Guide to Good Style. Cambridge University Press, 2006

- Web references to GNU Make, GDB, Git, GProf, Gcov.

- Code Complete: A Practical Handbook of Software Construction

- https://www2.eecs.berkeley.edu/Pubs/TechRpts/2006/EECS- 2006-183.html

ix Name (s) of the instructor (s)

Nikhil Hegde

x Name (s) of other departments / Academic Units to whom the course is relevant

EE, ME


No

xii Justification/ Need for Creating software in Computational Science and Engineering requires

http://www.stroustrup.com/4th.html)

introducing the course skills and tools from many disciplines. This course focuses on how the skills and tools are applied towards larger software development goals in the context of dominant algorithmic patterns or motifs found in scientific computing. The aim of the course is to provide knowledge on how advanced numerical methods and complex algorithms in Scientific Computing can be implemented using C++ to engineer larger systems through software development principles of refactoring, composition, correctness and performance analysis, and debugging. The course initiates students into CS305: Software engineering, a rigorous study of software development principles. Also, the course provides a base for subsequent parallelization optimizations, which is the subject of CS410: Parallel Computing that focuses on parallelizing scientific code (often) using different parallel programming paradigms.

Name of Academic Unit: Computer Science

Level: B.Tech/MS/PhD

Program: B.Tech /MS/PhD

i Title of the course CS 433 Cloud Software Development

ii Credit Structure (L-T-P-C) 1.5-0-0-3



offered

Autumn


Course

Half


students) – specify course number(s) Desirable: Exposure on Operating System, Database, Cloud

Programming language (Java, .Net, NodeJS, HTML/CSS, etc.)

vii Course Content Module 1 - Introduction to Cloud Computing Landscape

● Understand how industries rely on the cloud computing global

infrastructure, Identify the applications and use cases

● Identify the principles and characteristics of Cloud Computing -

IaaS, PaaS, SaaS

● Validate the different patterns of cloud computing adoption

including public cloud services, private and hybrid approaches

● Identify common challenges associated with the adoption of

cloud computing solutions and associated myths

● Compare and contrast with on-premise/traditional versus cloud

● Understand in-country data regulations, data sovereignty

considerations

Module 2 - Cloud Computing Technology

● Understand Virtualization Concepts - data, compute, network,

operating system, HCI

● Understand Cloud Infrastructure -Backup, Restore, Migration,

DC/DR, HA use cases

● Understand Programming concepts Cloud-native apps,

Serverless, Containers

● Learn Containers– Kubernetes, Docker, containers

Module 3 - Using Managed Cloud Services

● Learn 12-factor Application Architecture, api, Microservices,

databases - sql, no-sql, object store

● Application and Microservice Security- OAuth, access tokens

● Understand Autoscale - horizontal and vertical scaling, logging

and monitoring aspects of apps and infrastructure

● Learning DevOps frameworks - toolchains, ci/cd, blue/green

deployment, canary deployment

Module 4 - Case Studies - Public Cloud Provider – aws, azure,

ibmcloud

viii Texts/References Text Books:

- Thomas Erl, Zaigham Mahmood, Ricardo Puttini, “Cloud

Computing Concepts, Technology & Architecture”, Pearson,

2013.

Reference Books: - Boris Scholl, Trent Swanson, Peter Jausovec, “Cloud Native”,

O’Reilly, 2019.

Resources from Internet:

- Public Cloud Documentations:

- https://learning.oreilly.com/library/view/cloud-computing-concepts/9780133387568/

- https://www.amazon.in/Cloud-Computing-Concepts-Technology-Architecture/dp/0133387526/

Class Notes/Lectures

ix Name(s) of Instructor(s) Girish Dhanakshirur

Supported by Rajshekar K


Academic Units to whom the course

is relevant

EE


same/ other academic unit(s) which

is/ are equivalent to this course? If


No


the course

The course aims at preparing the students for the next technology

frontier - Cloud computing. While the field is vast, this course

prepares students in core cloud concepts, architectures,

programming languages, frameworks, deployments, etc., with

hands-on labs. The course will act as a foundation for further

research or certification. Many Public Cloud vendors offer free

students access to get hands-on experience on what they learn in the

course. Students will complete few labs using those Public Cloud

platforms.

https://learning.oreilly.com/library/view/cloud-computing-concepts/9780133387568/

https://learning.oreilly.com/library/view/cloud-computing-concepts/9780133387568/

https://www.amazon.in/Cloud-Computing-Concepts-Technology-Architecture/dp/0133387526/

https://www.amazon.in/Cloud-Computing-Concepts-Technology-Architecture/dp/0133387526/


Level: B.Tech.

Programme: B.Tech

i Title of the course CS 305 Software Engineering


iii Type of Course Core

iv Semester in which normally

to be offered

Spring

v Whether Full or Half

Semester Course

Full


the students) – specify course

number(s)

vii Course Content Introduction

What is Software Engineering.

Software Development Life-cycle

Requirements analysis, software design, coding,

testing, maintenance, etc.

Software life-cycle models

Waterfall model, prototyping, interactive

enhancement, spiral model. Role of Management in

software development. Role of metrics and

measurement.

Software Requirement Specification

Problem analysis, requirement specification,

validation, metrics, monitoring and control.

System Design

Problem partitioning, abstraction, top-down and

bottom-up design, Structured approach. Functional

versus object-oriented approach, design specification

and verification metrics, monitoring and control.

Software Architecture

Coding

Top-down and bottom-up, structured programming,

information hiding, programming style, and internal

documentation. Verification, Metrics, monitoring and

control.

Testing

Levels of testing functional testing, structural testing,

test plane, test cases specification, reliability

assessment.

Software Project Management

Cost estimation, Project scheduling, Staffing, Software

configuration management, Quality assurance, Project

Monitoring, Risk management, etc. including tools for

software development to release, supporting the whole

life cycle.

viii Texts/References 1. Software Engineering: A Practioner’s approach,

R.S. Pressman, McGraw Hill, 8th edition

2. Introduction to Software Engineering, Pankaj Jalote,

Narosha Publishing

3. The Unified Software Development Process, I.

Jacobson, G. Booch, J. Rumbaugh, Pearson Education

4. Software Architecture in Practice, L. Bass, P.

Clements, R. Kazmann, 3rd ed., Addison Wesley

ix Name(s) of Instructor(s) NLS

x Name(s) of other

Departments/ Academic

Units to whom the course is

relevant

No



unit(s) which is/ are

equivalent to this course? If


No



To teach students the engineering approach to software

development starting from understanding and

documenting user requirements to the design,

development, testing and release management where

we all take into account non-functional requirements

and engineer them explicitly. The course brings out

various lifecycle activities in the conventional as well

as agile methodologies. It emphasizes modern

practices and tools for a successful engineering of a

usable and maintainable product.

EE Department Name of Academic Unit: Electrical Engineering

Level: UG

Programme: B.Tech.

i. Title of the Course CS 427 Mathematics for Data Science

ii. Credit Structure L T P C 3 0 0 6

iii. Prerequisite, if any Exposure to basic concepts in calculus and linear algebra iv. Course Content

(separate sheet may be used, if necessary)

Introduction to Data science and Motivation for the course. Review of calculus, naïve set theory, notion of limits, ordering, series and its convergence. Introduction to Linear Algebra in Data science, notion of vector space, dimension and rank, algorithms for solving linear equations, importance of norms and notion of convergence, matrix decompositions and its use. Importance of optimization in data science: Birds view of Linear Regression, Multivariate Regression, Logistic Regression etc. Convex Optimization: Convex sets, convex functions, duality theory, different types of optimization problems, Introduction to linear program. Algorithms: Central of gravity method, Gradient descent methods,Nestrov acceleration, mirror descent/Nestrov dual averaging, stochastic gradient methods,Rmsprop,SIGNSGD, ADAMalgorithm etc. Non-convex optimization: Demonstration of convex methods on non- convex problems; merits and disadvantages.

v. Texts/References (separate sheet may be used, if necessary)

1. C. Bishop, “Pattern Recognition and Machine Learning,” Springer, 2006.

2. S. Boyd and L. Vandenberghe, “Convex Optimization,” Cambridge university press, 2018 (reprint).

3. Prateek Jain and PurushotamKar, “Non-Convex Optimization

for Machine Learning,” Now publisher, 2017. vi. Instructor (s) B. N. Bharath vii. Name of

departments to whom the course is relevant

Computer Science and Engineering, Electrical Engineering and Mechanical Engineering

viii Justification Solving optimization problem is a key ingredient of any data science/Machine Learning (ML) task. It is important to understand how to state problem of practical interests in the language of optimization, and solve it. This course aims to achieve this goal by providing theory and algorithms to solve optimization problems that arise in typical ML problems.


Level: UG/PG

Programme: B.Tech./M.S./Ph.D.

i. Title of the Course EE 429 Design of Power Converters

ii. Credit Structure (2-0-1-6)

iii. Type of Course Elective

iv. Prerequisite, if any EE222: Introduction to Power Electronics or equivalent as determined by the instructor or faculty advisor.

v. Course Content


Gate drives for BJT, MOSFET and IGBT, heatsink selection, snubber

circuits, buck, boost, and buck-boost converters, isolated converters like

forward, push-pull, half-bridge, full-bridge, and flyback types, design of

magnetics for inductors and transformers, inverters, PWM generation,

control of power converters: single loop and double loop controls;

voltage mode and current mode control, peak current control,

hysteresis control space vector PWM, d-q axis theory for 2 and 3 phase

applications, intro to induction machine design and winding.

vi. Texts/References (separate sheet may be used, if necessary)

1. Power Electronics: Essentials & Applications., L Umanand,

Wiley 2009.

2. Fundamentals of Power Electronics, Robert W Erickson and Dragan Maksimovic, Springer, 3ed, 2020.

3. Daniel W Hart, Introduction to Power Electronics, Prentice-Hall, 1997.

4. Mohan, N., et al, Power Electronics, John Wiley, 1989.

vii. Instructor (s) Satish Naik

viii .

Name of dept to whom the course is relevant


ix Justification This course is a design-oriented course aimed at power converter

system design. The course focuses on the design of switched-mode

converter circuits. The following topics are discussed with emphasis on

design: gate drives for BJT, MOSFET and IGBT, heatsink selection,

snubber circuits, buck, boost, and buck-boost converters, isolated

converters like forward, push-pull, half-bridge, full-bridge, and flyback

types, design of magnetics for inductors and transformers, inverters,

PWM generation, space vector PWM, d-q axis theory for 2 and 3 phase

applications, intro to induction machine design and winding.

Name of Academic Unit: Electrical Engineering Level:

UG/PG

Programme: B.Tech./M.S./Ph.D.

i. Title of the Course EE 431 Advanced Power Systems

ii. Credit Structure (L-T-P-C) 3-0-0-6

iii. Type of Course Elective

iv. Semester in which normally to be offered

Autumn

v. Whether full or half semester course Full

vi. Prerequisite, if any EE223: Introduction to Power Systems or equivalent as determined by the instructor or faculty advisor.

vii. Course Content


Symmetrical Components; Fault Analysis in Power Systems; Power System Stability; Power System Transients; Circuit Breakers; Protection of Transmission Lines, Generators, Transformers; Economic Dispatch; Automatic Generation Control.

viii .

Texts/References (separate sheet may be used, if necessary)

1. Power System Analysis, Bergen & Vittal, 2nd Ed,

Pearson, 1999.

2. Power System Analysis, Hadi Saadat, 2011, ISBN-

10: 0984543864.

3. Power System Analysis, Grainger & Stevenson,

McGraw Hill, 2017, ISBN-10: 9780070585157

4. Power System Engineering, Nagrath & Kothari,

McGraw-Hill, 3rd Ed, 2019, ISBN-10 :

9353165113.

ix. Instructor (s) Pratyasa Bhui

x. Name (s) of other departments / Academic Units to whom the course is relevant



No

xii. Justification This course is important to learn essential topics like fault

calculations, stability analysis of power systems after

disturbances, transients in voltage during with fault clearing,

designing power system protection for lines transmission

lines, generators and transformers. This will also cover some

aspects of power system operation like economic dispatch

and automatic generation control. There will be MATLAB

based simulation experiments on every topic covered in this

course.

Name of Academic Unit: Electrical Engineering Level: B. Tech. Programme: B.Tech.

i Title of the course EE 323 Digital Communication and Coding Theory ii Credit Structure (L-T-P-C) 2-0-2-6 iii Type of Course Elective iv Semester in which normally to be

offered Autumn


Full

vi Pre-requisite(s), if any (For the students) – specify course number(s)

Signals and Systems, Introduction to Communication Systems, Introduction to Probability

vii Course Content Digital Modulation - Signal constellations, Nyquist’s Sampling Theorem and Criterion for ISI Avoidance, Linear modulation Optimal Demodulation – Review of Hypothesis Testing, ML and MAP decision rules, Signal Space Concepts, Optimal Reception in AWGN and performance analysis of various modulation schemes. Source Coding - Entropy, Shannon’s source coding theorem (without proof), Huffman Codes Channel Coding – Mutual information, Shannon’s channel coding theorem (without proof), Linear codes, soft decisions and introduction to cyclic codes

Lab Component: Practical experiments in-line with the content of “Digital Communication and Coding Theory” course covering transmission and reception mechanisms corresponding to digital communication.

● Digital modulation and demodulation – PSK

and QAM

● Channel Modelling

● Performance analysis of Huffman

coding Performance Analysis of linear

and cyclic codes

viii Texts/References 1. Upamanyu Madhow, ̀ `Introduction to

Communication Systems," Cambridge

university press, 2008 edition.

2. Cover and Thomas, “Elements of Information

Theory,” Wiley India Pvt. Ltd., 2006.

ix Name(s) of Instructor(s) Naveen M B x Name(s) of other Departments/


None


No

xii Justification/ Need for introducing the course

The current and next generation wireless communication technologies use digital communication. The underlying procedures in these systems mainly involve digital modulation and source coding and channel coding. This course enables the student to understand the basic principles behind these topics. The lab component provides a hands-on experience of various topics covered in the theory course. Together, they will enable the student to have a strong background of the basics of digital communication.

Name of Academic Unit: Electrical Engineering Level: PG/UG

Programme: B. Tech/MS/PhD

i Title of the course EE 406 Speech Processing

ii Credit Structure (L-T-P-C) (3 0 0 6)


iv Semester in which

normally to be offered

Autumn or Spring


Course

Full



number(s)

Exposure to probability concepts.

vii Course Content* Introduction: Speech production and perception, nature of

speech; short-term processing: need, approach, time,

frequency and time- frequency analysis.

Short-term Fourier transform (STFT): overview of

Fourier representation, non-stationary signals,

development of STFT, transform and filter-bank views

of STFT.

Cepstrum analysis: Basis and development, delta, delta-

delta and mel-cepstrum, homomorphic signal processing,

real and complex cepstrum.

Linear Prediction (LP) analysis: Basis and development,

Levinson- Durbin’s method, normalized error, LP spectrum, LP

cepstrum, LP residual.

Sinusoidal analysis: Basis and development, phase

unwrapping, sinusoidal analysis and synthesis of speech.

Applications: Speech recognition, speaker recognition, speech synthesis, language and dialect identification and speech coding.

Viii Texts/References 1. L.R. Rabiner and R.W. Schafer, Digital Processing of

Speech Signals Pearson Education, Delhi, India, 2004

2. J. R. Deller, Jr., J. H. L. Hansen and J. G. Proakis, Discrete-

Time Processing of Speech Signals, Wiley-IEEE Press, NY,

USA, 1999.

3. D. O’Shaughnessy, Speech Communications:

Human and Machine, Second Edition, University Press,

2005.

4. T. F. Quatieri, “Discrete time processing of speech

signals”, Pearson Education, 2005.

5. L. R. Rabiner, B. H. Jhuang and B. Yegnanarayana,

“Fundamentals of speech recognition”, Pearson

Education, 2009.

ix Name(s) of Instructor(s) *** S R Mahadeva Prasanna

x Name(s) of other



relevant

CS



This course aims at providing an overview to the speech processing area. Speech processing being an application area of probability, signal processing and pattern recognition, the same will be suitable for both electrical engineering and computer science and engineering students. The course contents include introduction to speech processing, speech signal processing methods like short term Fourier transform, Cepstral analysis, linear prediction analysis, sinusoidal analysis. Some of the applications like speech recognition and speech synthesis will also be taught.

Name of Academic Unit: Electrical Engineering Level: PG/UG Programme: B. Tech/MS/PhD

i. Title of the Course EE 414 Speech Processing Laboratory

ii. Credit Structure L T P C

0 0 3 3

iii. Prerequisite, if any Currently taking or already taken Speech Processing theory course

iv. Course Content

(separate sheet may

be used, if

necessary)

The lab will closely follow the theory course. The idea is to have the students

implement the basic algorithms on different topics studied in the speech

processing theory course.

v. Texts/References

(separate sheet may

be used, if

necessary)

1. L.R. Rabiner and R.W. Schafer, Digital Processing of Speech

Signals Pearson Education, Delhi, India, 2004

2. J. R. Deller, Jr., J. H. L. Hansen and J. G. Proakis, Discrete-Time

Processing of Speech Signals, Wiley-IEEE Press, NY, USA, 1999.

3. D. O’Shaughnessy, Speech Communications: Human and

Machine, Second Edition, University Press, 2005.

4. T. F. Quatieri, “Discrete time processing of speech signals”,

Pearson Education, 2005.

5. L. R. Rabiner, B. H. Jhuang and B. Yegnanarayana,

“Fundamentals of speech recognition”, Pearson Education, 2009.

vi. Instructor (s) S. R. Mahadeva Prasanna

vii. Name of

departments to

whom the course is

relevant

Computer Science and Engineering, Electrical Engineering and Mechanical

Engineering

viii Justification Speech Processing Laboratory is important to reinforce different concepts

that will be studied as part of the theory course.

MMAE Department Academic Unit: Mechanical Engineering

Level: UG

Programme: B. Tech

i Title of the course ME 429 Solar Energy Collector Systems


iii Type of course Elective


to be offered

Odd/Even


Semester Course

Full



number(s)

--

vii Course content Recap of solar energy: Solar angles, Declination of

Sun, Solar Tracking, Sun path diagram, Solar radition

(4 hrs) Solar thermal-energy collectors: Basic

construction and design aspects of flat-plate collector,

stationary compound parabolic collector, evacuated

tube collector, Sun-tracking concentrating collectors:

Parabolic trough collector, Linear Fresnel reflector,

Parabolic dish reflector, Heliostat field collector: Solar

thermal-electric power. (6 hrs)

Thermal analysis of solar collectors: Thermal

analysis of flat-plate collectors including air- collectors,

Thermal analysis of compound parabolic collectors,

Thermal analysis of parabolic trough collectors,

Collector thermal efficiency, Collector incidence angle

modifier, acceptance angle of concentrating collectors,

Uncertainty quantification in solar collector testing. (8

hrs)

Solar water-heating (SWH) systems: Passive systems

as thermosiphon, integrated collector storage, Active

systems as direct circulation, indirect water-heating, air-

water-heating, and Pool heating, Heat storage as

sensible or latent hear, Solar ponds, Applications of

SWHs, Module and array design of SWH systems. (8

hrs)

Solar air-heating (SAH) systems: Active, hybrid or

passive, With or without storage, With or without fins,

Single/double pass, performance enhancement

techniques for SAHs, intergartion of thermal-storage

unit with SAHs, Applications of SAHs, Solar sterling

engine. (8 hrs)

Photovoltaic (PV) systems: Photovoltaic effect, PV

cell characteristics, Module and array design of PV

systems, PV technology and materials, PV module

equipment, Applications of PVs, Design and sizing of

PVs, Hybrid PV/T systems. (8 hrs)

viii Texts/References Textbooks: 1. S.A. Kalogirou, Solar Energy

Engineering: Processes and Systems, Elsevier; 2nd Ed.,

2014. 2. S.P. Sukhatme, J.K. Nayak, Solar Energy:

Principles of Thermal Collection and Storage, Tata

McGraw-Hill Education, 3rd Ed.,1996.

References: 1. V. Sivaram, Taming the Sun –

Innovations to Harness Solar Energy and Power the

Planet, 1st Ed., MIT Press, 2018. 2. JA. Duffie, WA.

Beckman, Solar Engineering of Thermal Processes,

Wiley, 4th Edition, 2013.

ix Name(s) of the Instructor(s) Dhiraj V Patil

x Name(s) of other



relevant







No

xii

Justification/ Need for


The origin and continuation of humankind is based on

solar energy. This course introduces basics of solar

energy harvesting, thermal-analysis of various

collectors. Next, the course introduces the design and

performance aspects of solar water-heating, air-heating

systems and photovoltaic modules. The course is

essential for the current technologist foreseeing the

future use of green, renewable and sustainable energy.

Name of Academic Unit: Mechanical, Materials and Aerospace Engineering

Level: UG Only Programme: B.Tech.

i Title of the course ME 323 Introduction to Aerospace Engineering



iv Semester in which normally to be offered Even/Odd

v Whether Full or Half Semester Course Full

vi Pre-requisite(s), if any – specify course number(s) Thermodynamics, Fluid Mechanics during UG

vii Course

Content

Historical Developments in Aviation, Aviation milestones, Components of an aircraft, Types of

aerial vehicles.

Basic Aerodynamics: Fluid dynamic equations & their basis, Ideal fluid, viscous flows, Flow past a

body, Flow Separation, Generation of Lift, Drag & Moment, Non-dimensional coefficients, Airfoils

& Wings, Airfoil families, Supersonic flight, Wave Drag, Aircraft Drag Polar,

Properties of atmosphere: ISA, IRA, Pressure altitude, Altimeter; Aircraft speeds TAS, EAS, CAS,

IAS.

Aircraft Performance: Steady level flight, Altitude effects, Absolute ceiling, steady climbing flight,

Energy methods, V-n diagram, Range and Endurance, Sustained level turn, pullup, Take-off and

Landing

Longitudinal Static Stability, Control systems and Neutral Point

Propulsion: Introduction to various aircraft propulsive devices: Piston-prop, Turbo-prop, Turbojet,

Turbofan, Turboshaft, Vectored- thrust, Lift engines. Gas Turbine Cycles and cycle based

performance analysis; Introduction to gas turbine components - Intake, Compressors, Turbines,

Combustion Chamber, Afterburner, and Nozzle. Single spool and Multi- spool engines. Power-plant

performance with varying speed and altitude.

Aircraft structures: Introduction to Flight Vehicle Structures and Materials, Forces Acting on an

aircraft.

viii Texts/

References 1. Anderson, J. D., The Aeroplane, a History of its Technology, AIAA Education Series, 2002.

2. Anderson, J. D., Introduction to Flight, McGraw-Hill Professional, 2005.

3. Hill, P., and Peterson, C., Mechanics and Thermodynamics of Propulsion, ISBN 978-0132465489,

Pearson Education, 2009.

4. Sun, C.T., Mechanics of Aircraft Structures, John Wiley and Sons, New York, 2006.

5. Megson, T.H.G., Aircraft Structures for Engineering Students, Butterworth-Heinemann, Oxford,

2013. Lecture notes.

ix Name(s) of Instructor(s) MM

x Name(s) of other Departments/ Academic Units to whom the course is relevant

xi Is/Are there any course(s) in the same/ other academic unit(s) which is/ are

equivalent to this course? If so, please give details. Nil


introducing the course This course would introduce fundamental principles of flight including the basic aerodynamics, flight

mechanics, propulsion, aircraft structures and materials. To a Mechanical Engineering student, this

course is important to understand the similarities and differences between the operations of ground-

based and aerospace vehicles. At the end of this course, students will be able to estimate various

flight parameters, their variation with respect to varying speed and altitude, and understand the

importance of different modifications brought in the development of aerospace vehicles.

Name of Academic Unit: Mechanical Engineering

Level: B. Tech.

Programme: B.Tech.

i Title of the course ME 421 Turbomachines



iv Semester in which normally to be offered Even


vi Pre-requisite(s), if any – specify course number(s) Fluid Mechanics; Thermodynamics

vii Cour

se

Cont

ent

Introduction: (2)

Classifications of Turbomachines, Advantages of Rotary over Reciprocating, Applications

Basic Fluid Mechanics, Thermodynamics: (3)

Conservation of Mass, Momentum and Energy, Work and Energy Equations in a Rotating Frame with

Constant Angular Velocity, Static and Stagnation Properties, Compressible gas flow relations,

Mechanical Efficiency and Internal Efficiency, Internal Energy & Entropy

Dynamic Similitude: (4)

Definition, Dimensionless Parameter Groups with a Constant Density Fluids, Buckingham PI Theorem

and its Significance, Characteristic Numbers of Turbomachines, Specific Speed and Specific Diameter,

Power Specific Speed, Imperfect Similitude,

Hydraulic Pumps: (6)

Components, Priming of Pumps, Head Developed by pump, NPSHA and NPSHR, Cavitation,

Characteristics of pumps, Types of vanes, Specific speed, Special Pumps e.g. Borehole Pumps, Slurry

Pumps, Vertical Submerged Pumps.

Hydraulic Turbines: (6)

Hydraulic Energy, Types, Pelton Turbines: Impulse Turbines: Performance Characteristics, Velocity

triangles, Specific Speed, Francis and Kaplan Turbines: Reaction Turbines: Velocity Triangles, Degree

of Reaction and Speed Ratio, Cavitation, Draft Tubes, Conditions for maximum efficiency

Steam Turbines: (6)

Types of Turbines: Impulse and Reaction, Velocity triangles, Efficiencies, Condition for maximum

efficiencies, Compounding of turbines - Velocity and Pressure, Degree of reaction, Reaction Turbines

CD Nozzles: (6)

Relation between area and velocity, Mach Number and Mach Cone, 1D steady isentropic flow, Choking

in isentropic flow, Nozzle efficiency, CD Nozzle and characteristics.

Gas Turbines: (6)

Turbine and compressor cascade, Elementary cascade theory, Cascade nomenclature, Lift and drag,

Turbine cascade correlation, Optimum space-chord ratio of turbine blades (Zweifel), Axial flow turbines:

Two-dimensional Theory, Stage losses and efficiency

Compressors: (4) Axial Flow Compressors, Principle of operation, Work done, power input factor, efficiency, Passage

Vortex and Trailing Vortices, Loss Assessment, Diffuser, Losses in centrifugal compressors, Axial

velocity distribution along blade height, Degree of Reaction, performance characteristics, Radial

compressors

viii Texts /

Ref.

1. Fluid Mechanics and Thermodynamics of Turbomachinery – SL Dixon, Elsevier; 7th edition, BH

2. Gas Turbine Theory, Cohen, Rogers and Saravanamuttoo, Pearson India 3. Turbines, compressors and Fans, SM Yahya, McGraw Hill Education, 2017.

4. Hydraulic Machines, VP Vasandani, Khanna Publishers

5. An Introduction to Energy Conversion: Turbomachinery - Vol. III, Kadambi & Prasad, NAIP, 2011.

ix Name(s) of Instructor(s) DVP, SS

x Name(s) of other Departments/ Academic Units to whom the course is relevant --


equivalent to this course? If so, please give details. NA

xii Justification/ Need

for introducing

the course

Turbomachines are essential fluid machinery which is present in a day-today practical

usage. The working principles, design principles are essential for a BTech (Mech.). As this

is an application of the core Mechanical courses, the course is listed as an elective.

Academic Unit: Mechanical Engineering

Level: UG

Programme: B. Tech

i Title of the course ME 403 Vibrations of Linear Systems




to be offered

VII


Semester Course

Full



number(s)

--

vii Course content • Concepts of Vibrations: Harmonic motion and

definitions and terminology, Harmonic analysis,

Fourier series expansion, Importance of vibration, Basic

concepts of vibration, Classification of Vibration,

Vibration analysis procedure.

• Characteristics of Discrete System Components,

Equivalent Springs, Dampers and Masses, Modeling of

Mechanical Systems, System Differential Equations of

Motion, Nature of Excitations, System and Response

Characteristics – Superposition Principle, Vibration

about Equilibrium Point.

• One DOF systems: Free Vibrations – Undamped and

damped vibrations, Harmonic Oscillator, Types of

damping, Viscously Damped Single DOF Systems,

Measurement of Damping, Coulomb Damping – Dry

Friction.

• Forced Vibrations – Response of Single DOF System to

Harmonic Excitations, Frequency Response Plots,

Systems with Rotating Unbalanced Masses, Whirling of

Rotating Shafts, Harmonic Motion of the Base,

Vibration Isolation, Vibration Measuring Instruments –

Accelerometers, Seismometers, Energy Dissipation,

Structural Damping, Response to Periodic Excitations,

Fourier Series.

• Response of Single DOF systems to Nonperiodic

Excitations, The Unit Impulse - Impulse Response, The

Unit Step Function - Step Response, The Unit Ramp

Function - Ramp Response, Response to Arbitrary

Excitations - The Convolution Integral, Shock

Spectrum, System Response by the Laplace

Transformation Method -Transfer Function, General

System Response.

• Two DOF Systems: System Configuration, Equations

of Motion-2 DOF Systems, Free Vibration of

Undamped Systems, Natural Modes, Response to Initial

Excitations, Coordinate Transformations – Coupling,

Orthogonality of

3

Modes - Natural Coordinates, Beat Phenomenon,

Response of Two-Degree-of-Freedom Systems to

Harmonic Excitations, Undamped Vibration Absorbers.

• Vibrations of Continuous Systems: Vibrating String,

Longitudinal vibrations of Bar, Torsional vibrations of

Rod. Lateral vibrations of Beam.

viii Texts/References TEXTBOOKS 1. S S Rao, Mechanical Vibrations, Pearson

Education, 5th Edition, 2004.

REFERENCES

1. W T Thomson, M D Dahleh and C Padmanabha,

Theory of Vibration with applications, Pearson

Education, 2008.

2. Leonard Meirovitch, Fundamentals of

Vibrations,

3. McGraw-Hill, 2000.

4. Den Hartog, Mechanical Vibrations, Dover

Publications.

ix Name(s) of the Instructor(s) Shrikanth V.

x Name(s) of other



relevant







No

xii

Justification/ Need for


This course deals with the study of vibration in

mechanical systems which is concerned with the

oscillatory motions of bodies and the forces associated

with them. This course aims to provide you with an

understanding of the nature and behaviour of dynamic

engineering systems and the capability of applying the

knowledge of mathematics, science, and engineering to

solve engineering vibration problems.

Academic Unit: Mechanical Engineering

Level: UG

Programme: B. Tech

i Title of the course ME 401 Finite Element Analysis




to be offered

Odd/Even


Semester Course

Full



number(s)

Mechanics of Materials

vii Course content Approximate solution of differential equations -

- Weighted residual techniques. Collocation,

Least Squares and Galerkin methods. Piecewise

approximations. Basis of Finite Element

Method. Formulation of the matrix method --

"stiffness matrix"; transformation and assembly

concepts. Example problems in one dimensional

structural analysis, heat transfer and fluid flow.

Elements of Variational calculus. Minimisation

of a functional. Principle of minimum total

potential. Piecewise Rayleigh - Ritz method and

FEM. Comparison with weighted residual

method.

Two dimensional finite element formulation.

Isoparametry and numerical integration.

Algorithms for solution of equations.

Convergence criteria, patch test and errors in

finite element analysis.

Finite element formulation of dynamics.

Applications to free vibration problems.

Lumped

and consistent mass matrices. Algorithms for

solution of eigenvalue problems

viii Texts/References 1. Bathe, K. J., Finite element procedures in

Engineering Analysis, Prentice Hall of India,

1990.

2. Cook, R.D., D. S. Malkus and M. E. Plesha,

Concepts and Applications ofFinite element

analysis, John Wiley, 1989.

3. Reddy, J. N., An Introduction to the Finite

Element Method, 2nd ed., McGraw Hill, 1993.

4. Seshu, P. Finite Element Method, Prentice Hall

of India, New Delhi, 2003.

5. Zienkiewicz, O. C., and K. Morgan, Finite

elements and approximation, John Wiley, 1983.

6. Zienkiewicz, O. C., and R. L. Taylor, The finite

element method, vol.1&2, Tata McGraw Hill

ix Name(s) of the Instructor(s) Prof. Amar Gaonkar

x Name(s) of other


NA


relevant






No



FEM is a numerical method to solve PDEs. The course

introduces the basic concepts and principles involved in

FE formulation of PDEs. Applications to domains

spanning structural mechanics , fluid mechanics and

heat transfer are taken to illustrate the concepts

Name of Academic Unit: Mechanical, Materials and Aerospace Engineering

Level: UG-PG Programme: B.Tech./M. Tech./M.S./PhD

i Title of the course ME 435 Design of Mechatronic Systems



iv Semester in which normally to be offered Even/Odd


vi Pre-requisite(s), if any – specify course number(s)

vii Course

Content

Introduction: Elements of mechatronics system: Sensor, actuator, plant, and controller.

Applications of mechatronics system. Systems like CDROM, scanner opened to see whats there

inside and why?.

Integrated mechanical-electronics design philosophy. Examples of real life systems. Smart sensor

concept and utility of compliant mechanisms in mechatronics.

Microprocessor building blocks, combinational and sequential logic elements, memory, timing and

instruction execution fundamentals with example of primitive microprocessor.

Microcontrollers for mechatronics: Philosophy of programming interfaces, setting sampling time,

and Getting started with TIVA programming

Microcontroller programming philosophy emphasis on TIVA, programming different interfaces

PWM, QEI etc. Mathematical modeling of mechatronic systems, Modeling friction, DC motor,

Lagrange formulation for system dynamics.

Dynamics of 2R manipulator, Simulation using Matlab, Selection of sensors and actuators.

Concept of feedback and closed loop control, mathematical representations of systems and control

design in linear domain, Basics of Lyapunov theory for nonlinear control, notions of stability,

Lyapunov theorems and their application

Trajectory tracking control development based on Lyapunov theory, Basics of sampling of a signal,

and signal processing

Digital systems and filters for practical mechatronic system implementation. Research example/

case studies of development of novel mechatronics system: 3D micro-printer, Hele Shaw system

for microfabrication.

viii Texts/

References Devdas Shetty, Richard A. Kolk, “Mechatronics System Design,” PWS Publishing company

Boukas K, Al-Sunni, Fouad M “Mechatronic,Systems Analysis, Design and Implementation,”

Springer,

Sabri Cetinkunt, “Mechatronics with Experiments,” 2nd Edition, Wiley

Janschek, Klaus, “Mechatronic Systems Design,” Springer

ix Name(s) of Instructor(s) SDR, MM

x Name(s) of other Departments/ Academic Units to whom the course is relevant EE


equivalent to this course? If so, please give details. Nil


introducing the course This course is geared towards developing skills of candidates towards conceiving new mechatronics

products based on raw ideas and develop them. The course focuses on hands-on experience along

with a project, and offers a lot of practical tips to make theory work in practice. Furthermore, the

course catalyzes integrated thinking in mechanical and electronics domain, which is crucial to

successful product design and development.

Chemistry Department Name of Academic Unit: Chemistry

Level: UG/PG

Programme: B.Tech. / MS /M.Tech. /Ph.D.

i Title of the course CH 405 Our Health and Medicine



iv Semester in which normally to

be offered

Autumn

v Whether full or half semester

course

Full Semester

vi Pre-requisite(s), if any (for the


number(s)

None

vii Course content Health and nutrition, role of different nutrients

(carbohydrates, proteins, fats, vitamins, and minerals),

diet and metabolism, basic introduction to human

physiology, communicable diseases (common bacterial

and fungal infections, antibiotics and resistance, common

viral infections, corona virus (SARS, MERS, SARS-

COV-2), vaccine and antivirals, non-communicable

diseases (diabetes, cancer), basic medicinal chemistry,

preventative and community medicine, health policies,

healthcare system, health awareness and best practices

viii Texts/References 1. Oxford textbook of medicine: Infection ed. by

David Warrell and Timothy Cox, 1st edition, OUP, 2012.

2. Textbook of community medicine ed. by Rajvir

Bhalwar, 2nd edition, Wolters Kluwer, 2017. 3. Koneman's textbook of diagnostic microbiology,

7th edition, Wolters Kluwer, 2017.

4. Principles of therapeutic nutrition and dietetics,

by Avantina Sharma, 1st edition, CBS, 2017. 5. Textbook of medical biochemistry by Rajinder

Chawla, E.H. El-Metwally and Suchanda Sahu,

2nd edition, Wolters Kluwer, 2017.

6. An introduction to medicinal chemistry by

Graham L. Patrick, 3rd edition, OUP, 2005. ix Name (s) of the instructor (s) Nilkamal Mahanta

x Name (s) of other departments

/ Academic Units to whom the

course is relevant

All departments with B. Tech/MS and PhD courses are

encouraged



unit(s) which is/ are equivalent

to this course? If so, please

give details.

No


introducing the course This course is designed to spread awareness among

students on the best practices to maintain a good health

and to emphasize on the role of diet and nutrition. It will

also encompass common diseases that we encounter

often and various ways to prevent and mitigate them with

the basic understanding of human physiology and

medicinal chemistry. In the wake of this global COVID-

19 pandemic, fundamental information on good health

and community medicine as well as healthcare

system/policies has become indispensable. This course

will provide the necessary foundation on the mechanism

of various commonly used drugs, preventative medicine,

and suitable family health practices which will facilitate

one in making informed decisions on prevention,

diagnosis, treatment, care, and support when required.

i. Title of the Course CH 303 Bioenergy and Biofuels

ii. Credit Structure L T P C

3 0 0 6

iii. Prerequisite, if any Exposure to basic concepts in biochemistry, chemistry, energy

iv. Course Content

(separate sheet may

be used, if necessary)

Introduction to bioenergy, basics of biomass technology and resources,

cellular metabolism and bioenergetics, quantitative methods, enzymes

involved in bioenergy production, biofuels (biodiesel, bio methanol,

biomethane, bioethanol, biobutanol, biohydrogen etc.) sources and uses,

bioenergy crops, fermentation and photobiological methods, microbial

production of biofuels, bioreactors, bio gas, microbial fuel cells, thermal

conversion technologies and gasification, biooil and biopower, biorefineries,

bioenergy systems analysis, economics, bioenergy for a sustainable future

v. Texts/References

(separate sheet may

be used, if necessary)

1. Y. Li, and S. K. Khanal, “Bioenergy: Principles and applications” Wiley-

Blackwell, 1st Edition, 2016.

2. N. G. Halford “An introduction to bioenergy” Imperial college press,

1st edition, 2015.

3. O. Konur, “Bioenergy and biofuels,” CRC press, 1st edition, 2017.

4. A. Dahiya, “Bioenergy: Biomass to biofuels,” Academic press, 1st

edition, 2014

5. C. Drapcho, N.P. Nhuan, T. Walker, “Biofuels Engineering Process

Technology” McGraw Hills, 1st Edition, 2008.

6. J. Cheng Ed. “Biomass to Renewable Energy Processes” CRC press, 1st

Ed, 2017.

vi. Instructor (s) Prof. Nilkamal Mahanta and other instructors (if any)

vii. Name of

departments to

whom the course is

relevant

Computer Science and Engineering, Electrical Engineering and Mechanical

Engineering, Chemical Engineering, Chemistry, BSBE

viii Justification This course focuses on bioenergy which is an alternate renewable source of

energy as well as forms the basis for an environmentally friendly technology.

Students will be introduced to different forms of bioenergy and biofuels and

their applications in the society. As clean forms of energy are the need of the

hour, this course is aptly suited to be offered for bachelor level students to

get them interested in energy and environmental related technologies.

Name of Academic Unit : Chemistry

Level : B.Tech

Programme : B.Tech.

i Title of the course CH 402 Quantum field theory




to be offered

Autumn


Semester Course

Full

vi Pre-requisite(s), if any

(For the students) – specify

course number(s)

Exposure to Physics, Chemistry and Mathematics

vii Course Content* Introduction: Review of Classical Field Theories and the need for Quantum

Field Theory Bosonic Fields: Second quantization of bosons; non-

relativistic quantum fields and the Landau Ginzburg theory; relativistic free

particles and the KleinGordon field; causality and the Klein-Gordon

propagator; quantum electromagnetic fields and photons. Fermionic Fields:

Second quantization of fermions; particle-hole formalism; Dirac equation

and its nonrelativistic limit; quantum Dirac field; spinstatistics theorem;

Dirac matrix techniques; Lorentz and discrete symmetries. Interacting Fields

and Feynman Rules: Perturbation theory; correlation functions; Feynman

diagrams; S-matrix and crosssections; Feynman rules for fermions;

Feynman rules for QED. Functional Methods: Path integrals in quantum

mechanics; "path" integrals for classical fields and functional quantization;

functional quantization of QED; QFT and statistical mechanics; symmetries

and conservation laws. Quantum Electrodynamics: Some elementary

processes; radiative corrections; infrared and ultraviolet divergencies;

renormalization of fields and of the electric charge; Ward identity.

Renormalization Theory: Systematics of renormalization; `integration out'

and the Wilsonian renormalization; `running' of the coupling constants and

the renormalization group. Non-Abelian Gauge Theories: Non-abelian

gauge symmetries; Yang-Mills theory; interactions of gauge bosons and

Feynman rules; Fadde'ev-Popov ghosts and BRST; renormalization of the

YM theories and the asymptotic freedom; the Standard Model.

Viii Texts/References 1. “An Introduction to Quantum Field Theory”, Michael Peskin and

Daniel Schroeder (Addison Wesley)

2. “Introduction to Quantum Field Theory”, A. Zee

3. “Quantum Field Theory”, Lewis H. Ryder

4. “Quantum Field Theory and Critical Phenomena”, by Jean Zinn-

Justin.

5. “Quantum field Theory for the Gifted Amateur”, T. Lancaster and

Stephen J. Blundell

6. NPTEL lectures in Quantum Field Theory

(https://nptel.ac.in/courses/115106065/)

ix Name(s) of Instructor(s)

***

Prof. B. L. Tembe

x Name(s) of other B.Tech. students of all departments


Units to whom the course

is relevant

xi Is/Are there any course(s)

in the same/ other academic


equivalent to this course?

If so, please give details.

No


introducing the course Quantum Field Theory is one of the basic theories in physics which has met

with great success in explaining a large number of natural phenomena. This

could be of interest to most students with a desire to learn physics and

mathematics and who have a basic background in science in engineering of

up to the third year of IIT B.Tech courses.

HSS Department Name of Academic Unit: HSS Level: B. Tech.

Programme: B.Tech.

i Title of the course HS 301: Philosophy


iii Type of Course Core – Humanities

iv Semester in which normally to be offered 1



None

vii Course Content 1. What is Philosophy? (Philosophy in Indiaand West)

2. Main Branches of Philosophy

3. Three Laws of Thought

4. Epistemology and Logic (Indian and Western)

5. Metaphysics (Universal and Particular,

Substance and Attributes, Causality,

Space, Time, Soul, God, Freedom)

6. Three Great Greek

Philosophers: Socrates,Plato

and Aristotle

7. Modern Philosophy: Rationalism

andEmpiricism (Descartes, Locke, Berkeley

and Hume)

8. Ethics (Utilitarianism, Categorical

Imperative of Kant, Ethical Relativism, Bio-

Medical Ethics, Ethical Issues)

9. Indian Philosophy Component(Nishkama-

karma of Gita, Virtue Ethics of Buddhism,

Advaita Vedanta).

10. Meaning of Life.

viii Texts/References 1. Ganeri, Jonardon, Philosophy in Classical

India: An Introduction and Analysis (London:

Routledge, 2001).

2. Maritain, Jacques, An Introduction of Philosophy

(New York and Oxford: Rowman & Littlefield, 2005).

3. Mohanty, J. N. Classical Indian Philosophy: An

Introductory Text (New York and Oxford:

Rowman & Littlefield, 2000).

4. Nagel, Thomas, What Does It All Mean? A

Short Introduction to Philosophy (Oxford:

Oxford University Press, 2004).

5. Russel, Bertrand, The Problems of Philosophy

(Oxford: Oxford University Press, Reprint by

Kalpaz Publication, 2017).

6. Sharma, Chandradhar, A Critical Survey of

Indian Philosophy (Delhi: Motilal Banarsidass,

2016).

7. Thilly, Frank, A History of Philosophy (New Delhi: SBW Publishers, 2018).

8. Williams, Bernard, Morality: An Introduction to

Ethics (Cambridge: Cambridge University Press, 2012).

ix Name(s) of Instructor(s) Prof. Jolly Thomas.


All


No


HS 301 is a unique course that aims to provide the BTech students an understanding of philosophy and history of ideas. Through this course they are expected to develop philosophical analysis and critical thinking which will enhance their engineering imagination as a skill and profession with the training in epistemology, logic, philosophical speculation and creativity. The ethics-module of the course will help them to think and act ethically in their profession with relation to the societal expectations of their fellow humans in India.

Name of Academic Unit: HSS

Level: UG

Programme: B.Tech.

i Title of the course HS 305 Principles of Finance: Instruments & Investment




Autumn


Full


Nil

vii Course Content* Financial Assets:

Structure of Financial Markets: including Money and Capital

Market and various underlying

Valuation:

Understanding time value of money, Risk adjusted Return

Intrinsic Valuation of financial assets: Debt and Equity with

discounted cash flow model

Risk Management:

Basics of risk assessment, covering Market, Credit, Liquidity,

Operational and Reputational Risk, and risk mitigation using

hedging tools

Macroeconomics and Financial Market

Central banks and financial markets, Liquidity

management, Quantitative Easing, inflation expectations

Investments Rationale:

Behavioural Finance and current studies, role on non-linearity

in financial investment, modelling and real world divergence,

heuristics

Viii Texts/References 1. “Investments”: Zvi Bodie, Alex Kane, Alan J. Marcus and Pitabas Mohanty; 11th edition, McGraw Hill

2. “Options and Other Derivatives”; John C. Hull and

Sankarshan Basu; 10th Edition; Pearson Education

3. “The Psychology of Money”: Morgan Housel

4. Principles of Corporate Finance by Richard A. Brealey,

Stewart C. Myers, and Franklin Allen, McGraw Hill,

2017

Relevant handouts where required will be handed out

and students are expected to refer to the material

covered in the handouts during the course

ix Name(s) of Instructor(s) ***

Vipin Chaudhary


Undergraduate students of all departments.


This course has certain overlaps with the course “Introduction to Mathematical Finance I” offered by the Mathematics department which aims to introduce different concepts of mathematical finance/ financial engineering with a focus on underlying mathematics.

However, this new proposed course of HSS department looks forward to cover Financial Assets and Valuation, Risk Management, Macro Economics, and Investment Rationale. Only the first two topics are the possible areas of overlap with the Maths course, for which it would be more about a broad outlook and practical aspects from industry.


The course is targeted at undergraduate students to gain specific interest in finance. The course is designed with the following specific objectives and learning outcomes:

a. To build the understanding of fundamental concepts of

finance, financial markets instruments and market

participants

b. To link theories of valuation to practical aspects of investing

and risk management

At the end of the course, students should be able to familiarise

with structure of financial markets and securities traded therein

and appreciate how global economy impact markets and

investment behaviour.

This is to be seen as preliminary course for introduction to finance, with detailed technical understanding requiring specific courses in later semesters.


Level: Ph.D./B.Tech.

Programme: Ph.D./B.Tech. (may be admitted with some CPI criterion)

i Title of the course HS 405 Macroeconomics

ii Credit Structure (L-T-P- C)

(3-0-0-6)



Spring


Full


HS201 (for B.Tech. students)

vii Course Content* 1. Introduction: The major macroeconomic issues-Economic Growth,

Inflation, Unemployment, Inequalities in Distribution of Income and

Wealth, Financial Stability, Sustainable Balance of payments.

2. National Income (NI): Concepts, Definitions and Identities, Approaches

to measurement of NI, Limitations and Omissions in Measurement of

NI

3. Major Schools of thought in Macroeconomics:

3.1. Classical and Neoclassical Schools of Thought: Theories of

output, employment, prices and interest rate, Quantity theory of

money, Cash Transactions and Cash Balance versions, Classical

dichotomy.

3.2. Keynes and Keynesians-Aggregate Demand, Aggregate Supply,

Consumption (Savings) Function and Investment Multiplier,

Output Determination, Role of Government-Monetary and Fiscal

Policies in Growth Promotion, Demand for Money: Active and

Idle cash balances, Liquidity Preference and Liquidity Trap,

Phillips Curve, Inflation-Unemployment trade-off, IS-LM Model

and Policy Effectiveness

3.3. Monetarism: Restatement of Quantity Theory of Money, Stability

of Demand Function for Money, Expectations Augmented Phillips

Curve, Adaptive Expectations, Short-run vs Long-run Phillips

Curve

3.4. New Classicists: Rational Expectations, Lucas Critique and Policy

Ineffectiveness, Rules vs Discretion, Monetary Policy Rules:

Friedman, Taylor and McCallum Rules

3.5. New Keynesians: Sticky Wages and Prices and Coordination

Failures, Asymmetric Information and Moral Hazard, Adverse

Selection

3.6. New Consensus Macroeconomics.

4. Inflation: Measurement, Causes, Consequences and Remedies

5. Fiscal Policy: Growth and Equity, concepts of deficits, internal and

external debt, debt vs money financing, sustainability of debt.

6. Opening Up the Economy: Balance of payments, Exchange rates-

nominal and real, bilateral and effective, exchange rate systems, fixed vs flexible exchange rates

Vii i Texts/References 1. Dilip M. Nachane, 2019, Critique of the New Consensus

Macroeconomics and Implications for India, Springer Nature

Switzerland AG

2. Macroeconomics by G. Mankiw, Worth Publishers, 7th edition

(2009).

3. Macroeconomics by R. Dornbusch, S. Fisher & R. Startz, McGraw-

Hill education, 11th edition (2017).

4. Errol D'Souza, Macroeconomics, 2/e, Pearson Education,

2012.

5. Macroeconomics Theories and Practices by R. T. Froyen, Pearson

Education India, 10th edition (2013).

ix Name(s) of Instructor(s) ***

Gopal Sharan Parashari


NA


NA


This course provides essential concepts of Macroeconomics for PhD students. It may also be offered to senior B.Tech. students with good CPI and may help them understand different Macroeconomic concepts.

Name of Academic Unit: Humanities and Social Sciences

Level: Undergraduate

Programme: B.Tech.

i Title of the course HS 307 Introduction to Linguistics

ii Credit Structure (L-T-P- C) (3-0-0-6)

iii Type of Course Elective Course


Spring


Full


It is a first level course and no prerequisite needed

vii Course Content Introduction to Linguistics course has been designed to provide an overview of the nature of language, linguistic knowledge and the scientific study of human language. It will introduce students to the basic concepts in Linguistics and will provide a reasonable taste of the core subfields of Linguistics. Under this course, the following topics will be covered.

1. Introduction: What is language? Introducing the study of

language. Design features of language.

2. Phonetics: The sounds of human languages, articulatory and

acoustic properties, classification and description of speech

sounds, measuring acoustic properties of speech sounds,

using the Praat software.

3. Phonology: Organization of speech sounds, phoneme

inventories, phonological processes, using features to

build larger phonological units of syllables and words,

acoustic analysis of syllable or phrase level features.

4. Morphology: The internal structure of words, morphological

processes, word formation rules, using morphological

knowledge in text processing.

5. Syntax: Grammaticality, syntactic properties, sentence

structures, variation and universals of syntactic

structures, syntax enhanced machine translation.

6. Semantics: Components of linguistic meaning, lexical and compositional semantics.

viii Texts/References 1. Dawson, Hope, and Michael Phelan. Language files: Materials

for an Introduction to Language and Linguistics. The Ohio State

University Press. 2016.

2. Fromkin, Victoria, Robert Rodman, and Nina Hyams. An Introduction to Language. Walsworth, Cengage Learning, 2011.

3. Ladefoged, Peter, and Keith Johnson. A course in phonetics. Cengage learning, 2014.

4. Ladefoged, Peter, and Sandra Ferrari Disner. Vowels and consonants. John Wiley & Sons, 2012.

5. Katamba, Francis and John Stonham. Morphology. 2nd edn. London: Palgrave Macmillian. 2006.

6. Schmitt, Norbert, ed. An introduction to applied linguistics.

Routledge, 2013. 7. Jurafsky, Dan. Speech & language processing. Pearson Education India, 2000.

ix Name(s) of Instructor(s) Leena Dihingia, Dept of Linguistics, University of Delhi S R M Prasanna, Dept of EE, IITDh (co-instructor)


It is going to be a first level HSS elective taken by any department student


No


Linguistics, which is concerned with the nature of language and communication, is a growing field and its importance as a discipline has been increasingly felt on other areas, with foci ranging from formal linguistic theory to several applications oriented to understanding the role of language in society, pedagogy, human development, psychological functioning as well as computer science, and artificial intelligence. An introductory course in Linguistics will provide students with a reasonable understanding of the major subfields and also equip them with some tools, techniques, and skills for linguistic analysis. This course will help students to not only understand the complex organization and systematic nature of language but also explore its several applications and acquaint them with the basic concepts necessary to pursue linguistic studies further, if they wish.


Level: UG

Programme: B.Tech/M.S./M. Tech/Ph.D

i Title of the Course HS 403 Happiness and Well-Being

ii Credit Structure L T P C

2 1 0 6



Autumn/Spring


Full

vi Prerequisite(s), if any (For the students) – specify course number(s)

None

vii Course Content In this course, we will explore the concept and different definitions of happiness and well-being, and the connection between happiness, positive attitude, relationships and the purpose and meaning of life. Techniques to achieve happiness in life will be studied. The course will be primarily participatory in nature with class discussions, presentations and journal assignments. The course material will be taken from a variety of sources. The causes that disturb the harmony in life will be analysed and practices to address these satisfactorily will be investigated. The methods of yoga, pranayama different meditation paths and healing techniques will be evaluated so that each student can adopt a suitable combination to suit her needs. Assignments will be aimed at a better understanding of oneself and the society and the environment that we live in. Learning Objectives. After studying this course, the students will be able to: ● Identify key psychological, social, cultural and biological factors in

happiness and well being

● Understand the relationship between happiness, human

connections, and qualities such as compassion, altruism, and

gratitude

● Describe the principles behind the specific activities that

boost happiness

● Apply lessons from positive & social psychology to their personal

and professional lives, enhancing their self-understanding

● Practice research-tested techniques for enhancing happiness

● Analyse human nature in terms of the three gunas and

the panchakosha model of beings.

● Adopt methods of yoga and meditation for self-improvement

and social well-being

Course Contents Happiness and wellbeing: definitions and measurement. The Hedonic tradition. Role of social connections in fostering happiness. Kindness and compassion, altruism and happiness, Success, money and happiness. Cooperation, reconciliation and happiness. Mindfulness, attention and focus. Mental habits of happiness: self-compassion, flow, and optimism. The Pursuit of Happiness: Does Being Good or Bad Produce More Happiness? Understanding the Causes of “Suffering.” Cultivating Right” Attention and “Right” Desire. Meaningful Relationships. The strong links between gratitude and happiness. Curiosity, Play, and Creativity. The art of letting go. Finding Your Happiness Fit and the New Frontiers. Happiness and Meaning in Life Yoga, Panchakoshas and Gunas: Guna concept: satwa, rajas and tamas and balancing the gunas. Ashtanga Yoga: Yama, Niyama, Aasana and Pranayama Pratyahar, Dharana and Dhyana. Vipassana Meditation and Reiki

Kindness and compassion, altruism and happiness, Success, money and happiness. Cooperation, reconciliation and happiness. Mindfulness, attention and focus. Mental habits of happiness: self-compassion, flow, and optimism. The Pursuit of Happiness: Does Being Good or Bad Produce More Happiness? Understanding the Causes of “Suffering.” Cultivating Right” Attention and “Right” Desire. Meaningful Relationships. The strong links between gratitude and happiness. Curiosity, Play, and Creativity. The art of letting go. Finding Your Happiness Fit and the New Frontiers. Happiness and Meaning in Life Yoga, Panchakoshas and Gunas: Guna concept: satwa, rajas and tamas and balancing the gunas. Ashtanga Yoga: Yama, Niyama, Aasana and Pranayama Pratyahar, Dharana and Dhyana. Vipassana Meditation and Reiki

Mathematics Department

Name of Academic Unit: Mathematics

Level: UG/PG

Programme: UG/PG

i Title of the course MA 501 Measure Theory

ii Credit Structure (L-T-P-C) 3-1-0-8 (8 credit full semester course )

iii Type of Course PhD course work



vi Pre-requisite(s), if any (For the students) –

specify course number(s)

Real analysis

vii Course Content Construction of Lebesgue measure on Real line,

Introduction to abstract measure theory, Measurable functions,

Caratheodory's Extension Theorem, MCT, Fatou's Lemma,

DCT, Product space, Product measure, Fubini's Theorem,

Definition of signed measures, Positive and negative sets.

Hahn-Jordan Decomposition. Absolute continuity of two σ-

finite measures. Radon-Nikodyme Theorem and Lebesgue

Decomposition.

viii Texts/References H. L. Royden; Real analysis. Third edition. Macmillan

Publishing Company, New York, 1988.

W. Rudin; Real and complex analysis. Third edition. McGraw-

Hill Book Co., New York, 1987.

S. Athreya and V.S. sunder; Measure & probability. CRC

Press, Boca Raton, FL, 2018.

K.R. Parthasarathy; Introduction to probability and measure,

Hindustan Book Agency, 2005.

Name(s) of Instructor(s) Dhriti Ranjan Dolai

x Name(s) of other Departments/ Academic Units

to whom the course is relevant

Physics

xi Is/Are there any course(s) in the same/ other

academic unit(s) which is/ are equivalent to this

course? If so, please give details.

No

xii Justification/ Need for introducing the course This course will be beneficial for PhD students who wants to

work in the area of analysis (like functional analysis, Harmonic

analysis, PDE).


Level: UG/PG

Programme: UG/PG

i Title of the course MA 503 Homological Algebra


iii Type of Course N/A


offered

v Whether Full or Half Semester Course Half Semester

vi Pre-requisite(s), if any (For the students)

– specify course number(s)

Basics of Group Theory, Ring Theory and Module

Theory, Linear Algebra

vii Course Content Categories and functors: definitions and examples.

Functors and natural transformations, equivalence of

categories,. Products and coproducts, the hom

functor, representable functors, universals and

adjoints. Direct and inverse limits. Free objects.

Homological algebra: Additive and abelian

categories, Complexes and homology, long exact

sequences, homotopy, resolutions, derived functors,

Ext, Tor, cohomology of groups, extensions of groups.

viii Texts/References 1. M. Artin, Algebra, 2nd Edition, Prentice Hall of

India, 1994. 2. N. Jacobson, Basic Algebra, Vol. 1, 2nd Edition,

Hindustan Publishing Corporation, 1985. 3. N. Jacobson, Basic Algebra, Vol. 2, 2nd Edition,

Hindustan Publishing Corporation, 1989. 4. S. Lang, Algebra, 3rd Edition, Addison Wesley,

1993. 5. O. Zariski and P. Samuel, Commutative Algebra,

Vol.1, Corrected reprinting of the 1958 edition,

Springer-Verlag, New York, 1975. 6. O. Zariski and P. Samuel, Commutative Algebra,

Vol.1, Reprint of the 1960 edition, Springer-Verlag,

1975. ix Name(s) of Instructor(s) Shreedevi Masuti



relevant

1) Computer Science and Engineering

2) Electrical Engineering

xi Is/Are there any course(s) in the same/

other academic unit(s) which is/ are

equivalent to this course? If so, please

give details.


course

This is a foundational course for any student pursuing

doctoral studies in pure Mathematics. The course

includes the topics which are useful for research in

Geometry, Topology, Number Theory, Algebra and

Combinatorics.

Name of Academic Unit: Mathematics Level: UG Programme: B.Tech.

i Title of the course MA 403 Introduction to Number theory


iii Type of Course UG Elective


offered



None

vii Course Content Primes and Factorization; Fundamental theorem

of Arithmetic; Congruences, Euclidean

Algorithm, Chinese Reminder theorem;

Algebraic and transcendental numbers;

algebraic integers, Euler’s phi-function;

primitive elements; Wilson's theorem;

Introduction to public-key encryption systems;

Mobius inversion formula; quadratic law of

reciprocity;

Viii Texts/References 1. I. N. Niven, H. S. Zuckermann,and H. L. Montgomery, An introduction to theory

of numbers, Sixth edition (Student edition), US,

Wiley, 2018.

2.T. M. Apostol, Introduction to Analytic

number theory, Springer international student

edition, Narosa publishing house, New Delhi,

2013. 3.H. Davenport, The Higher Arithmetic,

ix Name(s) of Instructor(s) N. S. N. Sastry

x Name(s) of other Departments/ Academic

Units to whom the course is relevant

xi Is/Are there any course(s) in the same/ other

academic unit(s) which is/ are equivalent to

this course? If so, please give details.

No


course

This is an introductory course on number theory,

which will allow undergraduate students to learn

certain aspects of Number Theory. The

prerequisites are kept to minimum.


Level: B. Tech. / MS(R) / PhD

Programme: B.Tech. / MS(R) / PhD

i Title of the

course MA 401 Numerical Linear Algebra


iii Type of Course UG Elective


offered

v Whether Full or Half Semester Course Full Semester

vi Pre-requisite(s), if any (For the Calculus, Linear Algebra


vii Course Content Vector and Matrix Norms, Gram Schmidt

Orthogonalization, Singular Value Decomposition, QR

factorization, Householder Triangularization

Floating point number system, Condition

number

and Stability, Stability of Back substitution,

Gauss

Elimination and Householder methods

Numerical techniques for finding eigenvalues,

Rayleigh Quotient, QR methods, Divide and

Conquer strategies

Krylov subspace techniques, GMRES and

Conjugate

Gradient

viii

Texts/Reference

s 1.Lloyd N. Trefethen and David Bau, Numerical

Linear Algebra, SIAM, US, 1997

2.Gene Golub and Charles Van Loan, Matrix

Computations, 4th

Edition, John Hopkins

University

Press, US, 2013

3. Iterative Methods for Sparse Linear Systems,

Yousef

Saad, 2nd

Edition, SIAM, US, 2003

ix

Name(s) of

Instructor(s) Amlan K. Barua

x Name(s) of

othe

r Departments/


xi

Is/Are there any course(s) in the same/

other

academi

c unit(s) which

is/ are equivalent

to

this course? If so,

please

give details.

xii

Justification/ Need for introducing the

course This course will enable a student to gain advanced

knowledge on the numerical perspectives of linear

algebra. The potential applications can be in

large

scale computations in engineering

Physics Department Name of Academic Unit : Physics

Level : B.Tech

Programme : B.Tech.

i Title of the course PH 402 Astrophysics for Engineers



iv Semester in which normally to be offered Autumn




Nil

vii Course Content 1. a. An inventory of the Universe, b. Celestial sphere, Coordinates

c. Units, sizes, masses and distance scale

2. Electromagnetic spectrum

a. Radio, Microwave, Infrared, Optical, X-ray and

Gamma Ray

b. Telescopes and Detectors

3. Stars A. General

a. Sun, Planets, (Earth)

b. Mass, Radius, Luminosity, Temperature,

Chemistry, Age and Types of stars

c. Hertzsprung-Russell Diagram

d. Birth and Evolution of stars

c. Limits on Mass - Quantum mechanism at large

scale: Brown Dwarf

B: Structure of a star:

a. Virial Theorem (qualitative)

b. Nuclear Energy, Pressure, Interaction with

radiation.

c. Basic Equations of Stellar Structure d. Thermal Equilibrium, Radiation and Convection

- Schwarzchild Criterion

e. Helioseismology

4. Galactic and Extragalactic Astronomy

a. The Milky Way and Andromeda

b. Rotation Curve - Dark Matter

c. Structures within 500 mega light years

d. Clusters of Galaxies, Superclusters, Filaments

and Voids

5. Special Topics: a. White Dwarf - Quantum Mechanics and

Gravitation: Chandrasekhar limit

b. Supernova, Neutron Stars, (Pulsar astronomy),

c. Black Holes, Gravitational Wave Astronomy

d. Gamma Ray Burst

e. Quasars and Active Galactic Nuclei

6. Topics in Cosmology

a. Hubble Expansion - Cosmic Distance Scale - Age

of the Universe

b. Standard Model of Cosmology

c. Cosmic Microwave Background

d. Supernova Cosmology Project and Dark Energy

e. Gravitational Lens

7. Major Astronomical facilities where India is

involved:

GMRT, SKA, Thirty Metre Telescope, LIGO,

ASTROSAT

8. Open questions in Astrophysics and Cosmology

viii Texts/References 1. The New Cosmos (A. Unsold, B. Baschek)

2. An Introduction to Modern Astrophysics (B.W.

Carroll, D.A. Ostlie)

3. Elements of Cosmology (J.V. Narlikar)

ix Name(s) of Instructor(s) DN



relevant

All



equivalent to this course? If so, please

give details.

Nil


course

Astrophysics and Cosmology have a few fundamental

unsolved problems. This course is an attempt to

convey to the students that there are upcoming

powerful astronomical facilities capable of solving

some of them. But both at hardware and software

level, it is Technology that drives what observations

are feasible. India is one of the main contributors for

development of some of the technologies.

Name of Academic Unit: Physics

Level: BTech

Programme: BTech

i Title of the course PH 303 Thin-Film Science and Technology



iv Semester in which normally to be offered Autumn semester

v Whether full or half semester course Half semester course

vi Pre-requisite(s), if any (for the students) –


NA

vii Course content Basic definitions, importance of thin-film;

Thin-film deposition methods: physical vapor

deposition, chemical vapor deposition, atomic

layer deposition, solution processed deposition,

Epitaxy;

Theory of nucleation & growth in thin films,

defects, diffusion, methods of control and

measurement of film thickness;

Structural, optical, electrical and mechanical

characterization of thin-films;

Applications of thin films, examples of thin-film

and devices: optical mirrors, transistors, solar

cells, LEDs, displays, touchscreens, etc.

viii Texts/References 1. M Ogring, “The Material Science of Thin

Films,” 2nd edition, Academic Press, 2001.

2. A Goswami, “Thin Film Fundamentals,”

New Age International, 1996.

3. A Wagendristel, Y Wang, “An Introduction

to Physics and Technology of Thin Films”,

World Scientific, 1994.

ix Name (s) of the instructor (s) Dr. Dhriti Sundar Ghosh

x Name (s) of other departments / Academic


Electrical Engineering, Mechanical Engineering

and Computer Science and Engineering



equivalent to this course? If so, please give

details.

NA


course Thin-film technology shares the knowledge from

multi-disciplines (e.g., materials science,

chemistry, solid-state physics, and mechanics).

This course is designed for those students who

are interested in thin-film fundamentals and

processing for various industrial applications.

Name of Academic Unit: Physics

Level: BTech

Programme: BTech

i Title of the course PH 301 Physics of Photovoltaics



iv Semester in which normally to be offered Autumn semester

v Whether full or half semester course Half semester course

vi Pre-requisite(s), if any (for the students) –


NA

vii Course content Basic principles of Photovoltaics- photons in,

electrons out, Importance in the present world

scenario;

Fundamentals of photoelectric conversion:

charge excitation, recombination, separation,

conduction, and collection;

Design of photovoltaic cells, electrical

characterization parameters, material aspects;

Solar cell technologies, emerging concepts, latest

breakthroughs.

viii Texts/References 1. Jenny Nelson, “Physics of Solar Cells,” 2nd

edition, Imperial College Press, 2003.

2. P. Wurfel, “Physics of Solar Cells: From

Principles to New Concepts,” 2nd edition,

Wiley-VCH, 2009.

3. L A Kosyachenko, “Solar Cells- New

Approaches and Reviews”, Intech Open,

2015.

ix Name (s) of the instructor (s) Dr. Dhriti Sundar Ghosh

x Name (s) of other departments / Academic


Electrical Engineering, Mechanical Engineering

and Computer Science and Engineering



equivalent to this course? If so, please give

details.

NA


course

Solar and Renewable energy is attracting

attention not only in the research, industry and

policy domain, but also in academic institutions.

One of the most important scientific and

technical challenges facing humanity in the 21st

century is energy security. There is no doubt

about the fact that for the widespread substitution

of fossil fuel and to meet future energy needs,

photovoltaic/solar cells have to play a key role in

that.

This course will cover basic understanding of the

solar cells, types, fabrication, characterization,

etc., from the physics point of view and enable a

student to have great basis in the field of

photovoltaics.

semester-vii & viii (2018 batch)

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