Syllabi - IIT Dharwad · 2020. 12. 22. · Syllabi Name of Academic Unit: Electrical Engineering Level: B. Tech./MS Programme: MS/Ph.D. i Title of the course Linear Algebra and its

Syllabi

Name of Academic Unit: Electrical Engineering

Level: B. Tech./MS

Programme: MS/Ph.D.

i Title of the course Linear Algebra and its applications

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

iii Type of Course Core

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)

Exposure to Basic calculus.

vii Course Content The following topics will be covered:

Vector spaces, linear dependence, basis;

Representation of linear transformations with

respect to a basis.; Inner product spaces,

Hilbert spaces, linear functions; Riesz

representation theorem and adjoints.;

Orthogonal projections, products of

projections, orthogonal direct sums; Unitary

and orthogonal transformations, complete

orthonormal sets and Parseval's identity;

Closed subspaces and the projection theorem

for Hilbert spaces.; Polynomials: The algebra

of polynomials, matrix polynomials,

annihilating polynomials and invariant

subspaces, forms, Solution of state equations

in linear system theory; Relation between the

rational and Jordan forms.; Numerical linear

algebra: Direct and iterative methods of

solutions of linear equations; Matrices, norms,

complete metric spaces and complete normal

linear spaces (Banach spaces); Least squares

problems (constrained and unconstrained);

Eigenvalue problem and SVD.

viii Texts/References 1. K. Hoffman and R. Kunze, Linear

Algebra, Prentice-Hall, (1986).

2. G.H. Golub and C.F. Van Loan,

Matrix Computations, Academic,

1983.

ix Name(s) of Instructor(s) Ameer and Bharat

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.

None

xii Justification/ Need for introducing the

course

This a core course for MS with specialization

in Electrical Engineering.

Name of Academic Unit: Computer Science and Engineering

Level: MS/PhD

Programme : MS/PhD

i Title of the course Advanced Topics in Communication Networks

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

Autumn

v Whether Full or Half

Semester Course

Full

vi Prerequisite(s), if any

(For the students) –

specify course number(s)

Undergraduate Computer Networks course, Good Programming Background.

vii Course Content* 1. 4G/5G Networks – Radio Access Architecture, Evolved Packet Core, Protocols,

Network Management Algorithms, Network Optimization, Resource Allocation

Algorithms, Security.

2. Fog Computing, Edge Computing – Architecture, Optimization, Resource Allocation,

and Load Balancing

3. Internet of Things

4. Data Driven Networking

5. Application of SDN and NFV in next generation IoT/cellular networks

Vii

i

Texts/References Research papers and online courses from Coursera/Udacity/Edx will be referred to for

learning the afore-mentioned topics.

x Name(s) of Instructor(s)

***

Siba Narayan Swain

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

xii Justification/ Need for

introducing the course

The objective of this course is to cover advanced topics in the areas of

Telecommunication Networks (4G/5G and Beyond), Internet of Things (IoT), Fog and

Edge Computing. Additionally, the course will also cover several interdisciplinary

topics in networks such as Data Driven Networking, Application of Software Defined

Networking (SDN), Network Function Virtualization (NFV) in 5G/IoT Networks. The

course also requires students to implement programming assignments related to the

above topics.

Name of Academic Unit : BSBE

Level : PG

Programme : MS/PhD.

i Title of the course Biomedical Imaging and Instrumentation


iii Type of Course Elective

iv Semester in which normally to be offered Fall




BB102, EE102

vii Course Content Module 1: Human Physiology

Module 2: Medical Imaging and Instrumentation(ECG, CT etc)

Module 3: Basics of microscopy

Module 4: Nuclear Magnetic Resonance spectroscopy (NMR) and

magnetic resonance imaging (MRI)

Module 5: Mass Spectrometry and applications

Module 6: Fluorescence spectroscopyand applications

Module 7: Infrared spectroscopyand applications

Module 8: Raman spectroscopyand applications

viii Texts/References 1.Laser fundamentals, William. T Silfvast, 2004

2.Photonics, Volume 4: Biomedical spectroscopy, photonics and

microscopy, David L Andrews,2015

3.Biophotonics: vibrational spectroscopic diagnostics, Mathew baker,

Caryn Hughes, Katherine A Hollywood,2016

4.Fundamentals of Medical imaging, Suetens P, 2017

5.D. Pavia “Introduction to spectroscopy” Cengage Learning India

Private Ltd., 5th Ed., 2015.

6.R. Silverstein, F. Webster, D. Kiemle, and D. Bryce “Spectrometric

identification of organic compounds”, 8th Ed., Wiley, 2015.

7.C. Banwell and E. McCash “Fundamentals of molecular spectroscopy”

4th Ed., McGraw Hill Education, 2017.

8.J. Keeler “Understanding NMR spectroscopy” 2nd Ed., Wiley, 2011

9.J.K. Hall: Guyton and Hall Medical Physiology. Second South Asia

Edition 2019, Elsevier

ix Name(s) of Instructor(s) Surya Pratap Singh, Nilkamal Mahanta, Sudhanshu Shukla



Chemistry, Physics, 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

xii Justification/ Need for introducing

the course

The primary aim of this course is to introduce the field of medical

imaging and instrumentation to the participants. The basic theory,

instrumentation and working principles of routinely employed

techniques in biomedical and chemistry research will be

discussed. Participants will be introduced initially to human

physiology followed by a detailed orientation todifferent imaging

approaches with a special focus on disease diagnosis and

monitoring and instrumentation engineering applications.

Name of Academic Unit: Biosciences & Bioengineering

Level: Ph.D.

Program: Ph.D.

i Title of the Course Molecular Biology of Cancer

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

iii Type of Course Ph.D. Course

iv Semester in which normally to be

offered

Autumn/Winter

v Whether full or half semester Course Full Semester

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

students)- specify the course

number(s)

-

vii Course Content Describe the six hallmarks of cancer

Explain the types of gene mutations possible

and how these mutations can contribute to

cancer formation

Describe an oncogene and why it is

important in cancer development

Explain the cell cycle, its regulation, and

how cell cycle dysfunction can lead to

cancer

Describe the function of tumor suppressor

genes

Explain how external or internal stimuli can

lead to apoptosis

Clarify how cancer cells escape cell death

List and describe the steps that lead to

metastasis

Give details on how chronic inflammation

and infectious agents can lead to cancer

Explain the role of diet in cancer

development and cancer prevention

viii Texts/References (separate sheet may

be used, if needed)

1. The Biology of Cancer: Robert A. Weinberg,

Garland Science 2014, Second Edition.

2. Principles of Cancer Biology: Lewis J.

Kleinsmith, Pearson 2016, First Edition.

3. Biology of Cancer: Dorothy Lobo, Pearson

Education 2012, Second Revised Edition.

4. The Biology of Cancer: Janice Gabriel, John

Wiley & Sons Inc 2007, Second Edition.

ix Name(s) of Instructor(s) Dr. Sudhanshu Shukla

x Name(s) of other

departments/academic units to whom

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


the course

This course explores the biology of cancer. It

focuses on the cellular and molecular biology of

cancer. Specifically, study the nature of cancer,

cellular oncogenes, cellular signaling

mechanisms, tumor suppressor genes, and the

maintenance of genomic integrity. It also includes

the regulation of the cell cycle, apoptosis, cellular

immortalization, tumorigenesis, angiogenesis,

and metastasis. Finally, examining how modern

molecular medicine is being used to treat cancer.

It is necessary for students to undertake this

course, as this will give basic background for the

current research in the field.


Level: PhD

Programme: PhD

i Title of the course Bioinformatics


iii Type of Course Core course


offered

Autumn


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

students) – specify course number(s)

Nil

vii Course Content Introduction. Bioinformatics: What and why?

Statistics:

Descriptive Statistics, Probability and Distributions

Regression and Correlation Parametric and Non-

Parametric Statistics

Basic Epidemiology and Vital Statistics

Statistics for differential expression, multiple testing

corrections

Introduction to SPSS, Graph pad, R

Statistical Data Analysis Using Microsoft Excel

Data representation

differential expression normalization

Functional interpretation of array data.

Genomics:

Genomic sequences.

Online databases: Intro to sequence alignment

Scoring Matrices. Pairwise alignment. Gaps.

Database searching: BLAST and BLAT. Limits of

detection, significance.

Advanced BLAST and BLAT: PSI-BLAST, Genomic

DNA.

Multiple sequence alignment and Relevance to

inferences about evolution.

molecular phylogeny introduction: Molecular

phylogeny and evolution.

mRNA and gene expression introduction,

Characterizing eukaryotic genomes.

Human variation and disease.

Sequence variation, phenology, comparative

genomics.

Personalized medicine. Multiple testing

viii Texts/References 1. Statistical Methods in Bioinformatics: An

Introduction Author(s): Gregory R. Grant, Warren J.

Ewens.

2. Developing Bioinformatics Computer Skills

Author(s): Cynthia Gibas, Per Jambeck

3. Bioinformatics: Sequence and Genome Analysis

Author(s): David W. Mount

ix Name(s) of Instructor(s) SS

x Name(s) of other Departments/

Academic Units to whom the course is

relevant

NA



equivalent to this course? If so, please

give details.

No


course

This course aims at providing an introduction to

genomics applications, focusing on the use of next

generation sequencing (NGS) for the analysis of gene

expression and genomics variation in healthy and

diseased individuals. Analytical workflows for

processing NGS data are presented and students have

the opportunity to familiarize themselves with basic

statistics, computational skills, bioinformatics

resources and analytical approaches needed to

process, analyze and interpret NGS data. Clinical and

pharmacological implications are also discussed.

Name of Academic Unit : Mathematics

Level : PG

Programme : MS/PhD.

i Title of the course Topology


iii Type of Course N/A


offered

Even




Undergraduate level calculus and some mathematical

maturity

vii Course Content Topological spaces, open and closed sets, basis,

closure, interior and boundary. Subspace topology,

Hausdorff spaces. Continuous maps: properties and

constructions; Pasting Lemma. Homeomorphisms.

Product topology, Quotient topology and examples of

Topological Manifolds. Connected, path- connected

and locally connected spaces. Lindelof and Compact

spaces, Locally compact spaces, one- point

compactification and Tychonoff’s theorem.

Paracompactness and Partitions of unity.

Countability and separation axioms. Urysohn’s

lemma, Tietze extension theorem and applications.

Completion of metric spaces. Baire Category

Theorem and applications. (If time permits) Urysohn

embedding lemma and metrization theorem for

second countable spaces. Covering spaces, Path

Lifting and Homotopy Lifting Theorems,

Fundamental Group.

viii Texts/References 1. J. R. Munkres, Topology: a first course, Prentice-

Hall of India (2000).

2. K. Janich, Topology, UTM, Springer (Indian

reprint 2006).

3. M. A. Armstrong, Basic Topology, Springer

(Indian reprint 2004).

4. G. F. Simmons, Introduction to Topology and

Modern Analysis, TataMcGraw- Hill (1963).

5. J. L. Kelley, General Topology, Springer (Indian

reprint 2005).

6. I. M. Singer and J. A. Thorpe, Lecture Notes on

Elementary Topology and Geometry, UTM, Springer

(Indian reprint 2004). 7. J. Dugundji, Topology, UBS (1999).

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



relevant

Physics




give details.


course

This is a foundational course for any student pursuing doctoral studies in Mathematics. Undergraduates and postgraduates who are extremely interested in Mathematics may also find the course appealing.

Name of Academic Unit : Mathematics

Level : PG

Programme : MS/PhD.

i Title of the course Functional Analysis


iii Type of Course PhD course work


offered




Basic topological concepts, Metric spaces, Measure

theory

vii Course Content Stone-Weierstrass theorem, L^p spaces, Banach

spaces, weak and weak* topology, Locally convex

topological vector space, extreme points, Krein-

Milman theorem. Bounded linear functionals and

dual spaces, Hahn-Banach theorem. Bounded linear

operators, open-mapping theorem, closed graph

theorem, uniform boundedness principle. Hilbert

spaces, Riesz representation theorem. Bounded

operators on a Hilbert space. The spectral theorem

for compact, self-adjoint, normal (including

unbounded) operators.

viii Texts/References J. B. Conway: A course in functional analysis,

Springer-Verlag, New York, 1990

B.V.Limaye: Functional Analysis, New Age

International Limited,Publishers, New Delhi, 1996

Michael Reed, Barry Simon: Methods of modern

mathematical physics. I. Functional analysis.

Second edition. Academic Press, Inc, New York,

1980

E. Kreyszig: Introductory Functional Analysis with

Applications, John Wiley & Sons, New York, 2001

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



relevant

Physics




give details.

No


course

The course will start from basic functional analysis,

then it will cover the spectral theorem for normal

operators. This course will be helpful to those phd

students who wants to work in Schrodinger operator,

Harmonic analysis, PDE, Banach space theory, and

Operator theory.

Name of Academic Unit: Department of Mathematics Level: PG

Programme: PhD i Title of the course Introduction to Algebra ii Credit Structure (L-T-P-C) 3-1-0-8 (8 credit, Full semester course) iii Type of Course N/A

iv Semester in which normally to be offered Odd v Whether Full or Half Semester Course Full

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


Basics of Group Theory, Ring Theory and Module

Theory, Linear Algebra, Field Theory and Galois

Theory

vii Course Content Review of Group theory: Sylow’s theorem and Group

Actions, Ring theory: Euclidean Domains, PID and

UFD’s, Module theory: structure theorem of modules

over PID

Review of field and Galois theory, Infinite Galois

extensions, Fundamental Theorem of Galois theory for

infinite extensions, Transcendental extensions, Luroth`s

theorem

Review of integral ring extensions, prime ideals in

integral ring extensions, Dedekind domains, discrete

valuations rings,

Categories and functors, Baisc Homological algebra:

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, 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



1) Computer Science and Engineering

2) Electrical Engineering




ii Justification/ Need for introducing the course This is a foundational course for any student pursuing

doctoral studies in Mathematics. Undergraduates and

postgraduates who are extremely interested in

Mathematics may also find the course appealing. The

course includes the topics which are useful for

Geometry, Topology, Number Theory, Algebra and

Combinatorics.

Name of Academic Unit: Chemistry

Level: Ph.D.

Programme: Ph.D.

i Title of the course Organic reactions and mechanisms

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



offered

Autumn

v Whether Full or Half Semester

Course

Full

vi Pre-requisite(s), if any Nil

vii Course Content* Reactive Intermediates: An overview and revision of the

chemistry of carbenes, nitrenes, radicals, carbocations,

carbanions and benzynes.

Classification of reactions: A brief introduction to

substitution, elimination, addition, oxidation, reduction,

rearrangement and pericyclic reactions.

Named reactions, mechanisms and applications:

Condensation reactions: Aldol, Acyloin and benzoin,

Claisen, Darzens, Dieckmann, Knoevenagel, Stobbe.

Oxidation reactions: Baeyer-Villiger, Criegee, Dakin, Dess-

Martin, Jones, Swern, Wacker, Oppenauer.

Epoxidation reactions: Jacobsen, Sharpless.

Reduction reactions: Birch, Wolff-Kishner, Clemmensen,

Stephen, Rosenmund, Staundinger, Meerwein-Ponndorf-

Verley.

Olefination reactions: Julia, Wharton, Peterson, Tebbe.

Coupling reactions: Buchwald-Hartwig, Negishi,

Sonogashira, Suzuki, Wurtz, Ullmann, McMurry, Heck, Stille.

Rearrangement reactions: Beckmann, Benzilic acid, Curtius,

Lossen, Hoffmann, Fries, Favorskii, Pinacol, Pummerer,

Smiles, Stevens, Wagner- Meerwein, Wolff, Wittig.

Pericyclic reactions: Diels-alder cycloaddition, Danishefsky’s

diene cycloaddition, Ene reaction, Cope rearrangement

(including aza-Cope and oxy Cope), Claisen rearrangement

(including Johnson, Ireland and Eschenmoser).

Miscellaneous reactions: Alkene and alkyne metathesis,

Barton reaction, Bergman cycloaromatization, Brown

hydroboration, Buchner reaction, Burgess dehydration,

Cannizzaro reaction, Cope reaction, Corey reactions,

Eschenmoser-Tanabe Fragmentation, Fischer indole synthesis,

Friedel- Crafts reaction, Gabriel synthesis, Grignard reaction,

Hell Volhard Zelinski reaction, Hoffmann reaction and

elimination, Kolbe-Schmitt reaction, Mannich reaction,

Michael addition, Mitsunobu reaction, Paterno-Buchi reaction,

Perkin reaction, Pictet-Spengler reaction, Prevost reaction,

Reformatsky reaction, Reimer-Tiemann reaction, Robinson

annulation, Schmidt reaction, Sandmeyer reaction, Sharpless

dihydroxylation, Shapiro reaction, Staundinger reaction,

Strecker reaction, Tsuji-Trost reaction, Ugi reaction,

Williamson ether synthesis, Witting reaction.

Vii

i

Texts/References 1. Jerry March and Michael Smith, “Advanced

Organic Chemistry”, 7th Ed., Wiley, 2015.

2. F. A. Carey and R. J. Sundberg, “Advanced Organic

Chemistry, Part A and B”, 5th Ed., Springer, 2008.

3. J. Clayden, N. Greeves, and S. Warren, “Organic

Chemistry”, 2nd Ed., Oxford University Press,

2014.

4. W. Carruthers and I. Coldham, “Modern Methods

of Organic Synthesis”, 4th Ed., Cambridge

University Press, 2015.

5. Laszlo Kurti and Barbara Czako, “Strategic

applications of named reactions in organic

synthesis”, 1st Ed., Elsevier, 2005.

6. R. Norman and J. Coxon, “Principles of organic

synthesis, 3rd Ed., CRC press, 2017.

7. R. B. Grossman, “Art of writing reasonable

organic reaction mechanisms”, 2nd Ed., Springer,

2010.

8. P. Bruice, “Organic Chemistry” 7th Ed., Pearson,

2013.

ix Name(s) of

Instructor(s) ***

Nilkamal Mahanta

x Name(s) of other


Units to whom the course is

relevant

BSBE

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.

NA



This course provides foundation for organic chemistry and

reaction mechanisms for MS/PhD students of chemistry and

biochemistry to carry out further advanced courses as well as

it is relevant to different fields of research in chemical sciences.

Name of Academic Unit: Chemistry

Level: Ph.D.

Programme: Ph.D.

i Title of the course Coordination chemistry, Organometallics and organometallic reagents

ii Credit Structure (L-T-P-

C) (3-0-0-6)




Autumn


Semester Course

Full

vi Pre-requisite(s), if any

(For the students) –

specify course

number(s)

Nil

vii Course Content* • Coordination chemistry: Fundamentals, theory and applications.

• History and types of Organometallic compounds, 18 Valence Electron

Rule and Classification.

•Sigma-Donor ligands: Preparation and Properties and its application.

•C−H activation, characterization and bonding. C−C Bond activation,

Transition Metal Perfluoroalkyl (RF−TM) Complexes and its

preparation. C−F Activation •Transition Metal Alkenyl/Aryl/Alkyne/Carbene/carbynes Complexes • Transition Metal Carbonyls: Bonding properties, Reactivity, Carbonyl

Metallates, Carbonyl Hydrides and its application, application of

Metal Halides and Metal Alkenes •Transition Metal Olefin Complexes: Reactivity, Bonding Properties. •Transition Alkyne Complexes: Reactivity.

Vii

i

Texts/References Organometallics by Christoph Elschenbroich

Organometallic Chemistry of Transition Metals by Robert H Crabtree.

ix Name(s) of Instructor(s)

***

MRR and NPTEL Web and Video classes

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.

NA

xii Justification/

Need for

introducing the

course

This course enables to learn all essential coordination and

organometallics concepts and relevant applications which are important

to carry out research in the fields of inorganic and organic chemistry.

Name of Academic Unit : Chemistry

Level : B.Tech

Programme : B.Tech.

i Title of the course Quantum field theory



iv Semester in which normally

to be offered

Autumn


Semester Course

Full


(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; ìntegration 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/)


***

Prof. B. L. Tembe

x Name(s) of other



is relevant

B.Tech. students of all departments


in the same/ other academic

unit(s) which is/ are

equivalent to this course?

If so, please give details.

No



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.

Name of Academic Unit : Physics

Level : B.Tech

Programme : B.Tech.

i Title of the course Astrophysics for Engineers



iv Semester in which normally to be offered Spring




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




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: HSS

Level: UG/PG.

Programme: MS/Ph.D.

n

i Title of the course HS 303 Introduction to Literature




offered Autumn


Course Full


students)


--

vii

Course Content

What is Literature, Genres of Literature, Literary Texts and

Co Major Themes in Literature

viii

Texts/ References

Glossary of Literary Terms by MH Abrams, The Norton

Antho of Poetry edited by Margaret Ferguson, Animal Farm

by Geor Orwell, The Penguin Book of Modern Indian Short

Stories- Stephen Alter, Oxford Book of English Short Stories

Reissue Edition (English, Paperback, A. S. BYATT), Three

Theban Pl Antigone; Oedipus the King; Oedipus at Colonus

(English, Paperback, Sophocles)

ix Name(s) of Instructor(s) Prof. Ridhima Tewari

xii

Justification/ Need for


The course is aimed at introducing students to literature- its

rea appreciation, and its relation to

contemporary world, knowledge systems and contexts.

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

Programme: MS/Ph.D.

i Title of the course HS 301: Philosophy


iii Type of Course Core – Humanities


offered

1




None

vii Course Content 1. What is Philosophy? (Philosophy in India and 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 and Empiricism

(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.


Academic Units to whom the course

is relevant

All

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


is/ are equivalent to this course? If

so, please give details.

No


the course

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: Humanities and Social Sciences Level:

UG/PG

Programme: B. Tech.

i Title of the course HS 305 Intellectual Property Management



iv Semester in which normally to be offered Spring




Nil

vii Course Content Historical Development of Intellectual Property in

Industrialised Society, Patent Basics, Patent

Systems around the world, Application of patents in

different technology areas including Software and

Business Methods, How to read a Patent,

Introduction to Patent Databases and Analysis

Tools, Patent Searching and Analysis, Use of Patent

Information for Research and Business Planning,

Introduction to TRIZ , Evaluation of Patents, IPR

Beyond Patents ( Copyright, Trade Marks, Designs

and other forms of IP rights), IP Management

including IP Strategy for Start-ups and Corporates

, IP Licensing, IP Acquisition and Enforcement,

Case studies and Tutorial.

viii Texts/References Reading material will be provided

ix Name(s) of Instructor(s) Prof. R. R. Hirwani



All the departments



equivalent to this course? If so, please give

details.

Nil

x Justification/ Need for introducing the

course

Intellectual Property plays an important role in

technological innovations, creation and growth of

technology start-ups. The existing patent databases

are repositories of global technical knowledge and

can be used for problem identification, cross

fertilisation of ideas, generation of alternate

solutions, technology monitoring, and competitive

intelligence. It is felt necessary to sensitise the

students to current IP regime and prepare them for

the career in technology ventures.

Academic Unit: Electrical Engineering

Level: UG/PG

Programme: MS/Ph.D.

i Title of the course Stochastic Process

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


iv Semester in which normally to

be offered

Fifth


Course

Full


students) – specify course

number(s)

Basic calculus

vii Course Content* Background: Review of probability theory, random

variables, limit theorems, and basics of random processes.

Application problems: Statistical signal processing, random

graphs and percolation, hypothesis testing.

Poisson Processes: Definition and properties of Poisson

process, Combining and splitting of Poisson Process, and

non-homogenous Poisson Process, Introduction to Poisson

Point Process.

Gaussian Process: Gaussian random vectors and its

properties, Conditional PDFs for Gaussian random vectors,

Stationarity, Orthonormal expansion, Filtering, and

introduction to Circular symmetric Gaussian random

variables.

Markov Chain: Communication classes and its properties,

stationary distribution and its existence, Poisson processes,

Example applications of Markov decision process.

Advanced Random Process: KL expansion, introduction to

special random process such as Martingale and Brownian

motion.

Viii Texts/References 1. Robert B. Ash, ``Basic Probability Theory," Reprint

of the John Wiley & Sons, Inc., New York, 1970

edition.

2. Sheldon Ross, `À first course in probability,"

Pearson Education India, 2002.

3. Bruce Hayek, ̀ Àn Exploration of Random Processes

for Engineers," Lecture notes

4. Robert G. Gallager, “Stochastic Processes: Theory

For Applications,” Cambridge university Press 2013.

ix Name(s) of Instructor(s) *** Prof.Tejas Bodas


Academic Units to whom the

course is relevant

Computer science, physics and mathematics.


same/ other academic unit(s)

which is/ are equivalent to this

course? If so, please give details.

No


introducing the course This course is builds on an elementary course titled

“Introduction to Probability.” The course deals with

analysis and applications of stochastic process. This

course caters to several applications such as statistical

signal processing, communications, and machine

learning.


Level: UG/PG

Programme: BTech

i Title of the course Machine Learning and Pattern

Recognition

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




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

course number(s)

Exposure to Calculus or equivalent.

vii Course Content Recap

(a) Probability Theory, Linear Algebra,

Convex Optimization

Introduction to statistical

decision theory

(a) Hypothesis testing

(b) Regression, Classification, Bias

Variance trade-off

Regression and PCA

(a) Linear Regression, Multivariate

Regression,

(b) Subset Selection, Shrinkage

Methods,

(c) Principal Component Regression,

Partial Least squares

(d) Linear Classification, Logistic

Regression, Linear Discriminant

Analysis

Neural Networks

(a) Models of Neural

Networks,

Learning laws, Perceptron

(b) Neural Networks - Introduction,

Early Models, Perceptron Learning,

activation and synaptic dynamics,

feed- forward neural network etc.

(c) Backpropagation, Initialization,

Training and Validation, Parameter

Estimation - MLE, MAP, Bayesian

Estimation

Graphical Models

(a) Undirected Graphical Models,

HMM, Variable Elimination, Belief

Propagation

(b) Bootstrapping and Cross Validation,

Class Evaluation Measures, ROC curve,

MDL

(c) Gaussian Mixture Models,

Expectation Maximization

Clustering

(a) Partitional Clustering, Hierarchical

Clustering, Birch Algorithm CURE

Algorithm, Density-based Clustering

viii Texts/References 1. Trevor Hastie, Robert Tibshirani,

Jerome H. Friedman “The Elements of

Statistical Learning,” Springer text in

statistics.

2. C. Bishop, “Pattern Recognition and

Machine Learning,” Springer text in

information science and statistics.

3. B. Yegnanarayana, “Artificial Neural

Networks,” Prentice Hall Publications,

2005.

ix Name(s) of Instructor(s) S. R. M. Prasanna (Flip mode)

x Name(s) of other Departments/ Academic Units to

whom the course is relevant

EE, CSE, ME


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


No


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

Programme: MS/Ph.D. / MS(R) / PhD

i Title of the course Power System Dynamics and Control

ii Credit Structure (L-T-P-C) 2-0-1



offered

Autumn




Power System, Electrical Machines

vii Course Content Modelling of Synchronous Machines, Modelling of

Exciters, Small Signal Stability Analysis, Modelling

of Turbine and Governors, Simulation of Power

System Dynamic Response, Improvement of

Stability, Sub-synchronous Oscillations.

viii Texts/References 1. Power System Dynamics and Stability: With

Synchrophasor Measurement and Power System

Toolbox, 2nd Edition

2. Power System Stability and Control : Prabha

Kundur Mc GrawHill

3. Power System Dynamics and Stability, J

Machowski; J Bialek, J Bumby, John Wiley &

Sons

ix Name(s) of Instructor(s) Pratyasa Bhui



relevant

None




give details.

No


course

This is an elective course for Power Systems Spine

Name of Academic: : Electrical Engineering

Programme: MS/Ph.D.

Level: / MS(R) / PhD

i Title of the course Advanced Power Electronics and Drives







Circuits, semiconductor devices and Electric Machines &power electronics

vii Course Content Basics of semiconductor devices, gate drives for BJT,

MOSFET and IGBT, heat sink selection, snubber

circuits, non-isolated converters like buck, boost and

buck-boost converters, isolated converters like forward,

push pull, half bridge, full bridge and fly back, design

of magnetics for inductors and transformers, inverters,

PWM generation - SPWM, space vector PWM, dq axis

theory for 2 and 3 phase applications. Introduction to

electric drives, and speed control of electric machines.

Design examples like, EV Battery chargers, and grid

connected PV inverter.

viii Texts/References 1. L. Umanand, Power electronics and applications, Wiley

India Pvt. Limited, 2009.

2. Chryssis, G.C., High frequency switching power

supplies, Second Edn, McGraw Hill, 1989.

3. R. W. Erickson, Dragan Maksimovic, Fundamentals of

Power Electronics, Springer, 2001.

4. N.Mohan, Power Electronics: Converter, Applications

& Design, John Wiley & Sons, 1989.

5. Ranganathan V T, Electric Drives, Course Notes, IISc,

2005-06.

6. Leonhard W., Control of Electrical Drives, 3rd Edition, Springer.

ix Name(s) of Instructor(s) Prof. Abhijith



relevant

None




give details.

None


course


Name of Academic Unit: Electrical Engineering Level: B. Tech. / MS(R) / PhD


i Title of the course VLSI Design





Autumn


Semester Course

Full


(For the students) – specify

course number(s)

Digital systems

vii Course Content* Review of MOS transistor models, Technology scaling, CMOS logic

families including static, dynamic and dual rail logic. Integrated circuit

layout; design rules, parasitics. low power design, high performance design,

logical effort, Interconnect aware design, clocking techniques.

VLSI design: data and control path design, floor planning, Design

Technology: introduction to hardware description languages(VHDL), logic,

circuit and layout verification.

Viii Texts/References 1. N. Weste and D. M. Harris, “CMOS VLSI Design, A circuits and

systems perspective” Pearson, 2010

2. S. Kang and Y. Leblebici, “CMOS Digital Integrated circuits”,

Tata McGraw Hill edition, 2003

3. Jan M. Rabaey, A. Chandrakasan and B. Nikolic, “Digital

Integrated circuits” Pearson , 2016


***

NK

x Name(s) of other



is relevant


in the same/ other

academic unit(s) which is/

are equivalent to this

course? If so, please give

details.

No



Digital integrated circuits have revolutionized computers and the way we

control and design electronic systems. This is a advanced course on CMOS

digital integrated circuits, which gives exposure to high performance VLSI

design in CMOS technologies.


Level: UG/PG

Programme: BTech

i Title of the course Mathematics for Data Science

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






Exposure to basic concepts in calculus and

linear algebra

vii Course Content Introduction to Data science and Motivation for

the course.

Review of calculus, naTve 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.

viii Texts/References 1. C. Bishop, “Pattern Recognition and

Machine Learning,”

Springer, 2006.

Cambridge university press, 2018 (reprint). for

Machine Learning,” Now publisher, 2017.

ix Name(s) of Instructor(s) B. N. Bharath

Academic Unit: Mathematics

Level: UG/PG

Programme: BTech

i Title of the course Numerical Linear Algebra

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



offered

Autumn


Course

Full



Exposure to 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 (c) Backpropagation, Initialization, Training

and Validation, Parameter Estimation - MLE, MAP,

Bayesian Estimation viii Texts/References 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, 2Tl d Edition, SIAM, US, 2003

ix Name(s) of Instructor(s) Amlan K. Barua


Academic Units to

whom the course is relevant





No


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

Name of Academic

Unit: Mathematics

Level: UG/PG

Programme : B.Tech.

i Title of the course Introduction to Number theory


iii Type of Course UG Elective


offered


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

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






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


i Title of the course Power System Dynamics and Control

ii Credit Structure (L-T-P-C) 2-0-1



offered

Autumn




Power System, Electrical Machines

vii Course Content Modelling of Synchronous Machines, Modelling of

Exciters, Small Signal Stability Analysis, Modelling

of Turbine and Governors, Simulation of Power

System Dynamic Response, Improvement of

Stability, Sub-synchronous Oscillations.

viii Texts/References 4. Power System Dynamics and Stability: With

Synchrophasor Measurement and Power System

Toolbox, 2nd Edition

5. Power System Stability and Control : Prabha

Kundur Mc GrawHill

6. Power System Dynamics and Stability, J

Machowski; J Bialek, J Bumby, John Wiley &

Sons

ix Name(s) of Instructor(s) Pratyasa Bhui



relevant

None




give details.

No


course


Name of Academic Unit: BSBE

Level: UG/PG

Programme: B. Tech.




iv Semester in which normally to be offered Fall




BB102, EE102

vii Course Content Module 1: Human Physiology Module 2: Medical Imaging and Instrumentation(ECG, CT

etc) Module 3: Basics of microscopy

Module 4: Nuclear Magnetic Resonance spectroscopy (NMR)

and magnetic resonance imaging (MRI)

Module 5: Mass Spectrometry and applications

Module 6: Fluorescence spectroscopyand

applications Module 7: Infrared spectroscopyand

applications Module 8: Raman spectroscopyand

applications

viii Texts/References 1. Laser fundamentals, William. T Silfvast, 2004 2. Photonics, Volume 4: Biomedical spectroscopy, photonics

and microscopy, David L Andrews,2015

3. Biophotonics: vibrational spectroscopic diagnostics,

Mathew baker, Caryn Hughes, Katherine A Hollywood,2016

4.Fundamentals of Medical imaging, Suetens P, 2017

5.D. Pavia “Introduction to spectroscopy” Cengage Learning

India Private Ltd., 5th Ed., 2015.

6.R. Silverstein, F. Webster, D. Kiemle, and D. Bryce

“Spectrometric identification of organic compounds”, 8th Ed.,

Wiley, 2015.

7.C. Banwell and E. McCash “Fundamentals of molecular

spectroscopy” 4th Ed., McGraw Hill Education, 2017.

8.J. Keeler “Understanding NMR spectroscopy” 2nd Ed.,

Wiley, 2011

9.J.K. Hall: Guyton and Hall Medical Physiology. Second

South Asia Edition 2019, Elsevier








give details.

No


the course

The primary aim of this course is to introduce the field of

medical imaging and instrumentation to the participants. The

basic theory, instrumentation and working principles of

routinely employed techniques in biomedical and chemistry

research will be discussed. Participants will be introduced

initially to human physiology followed by a detailed orientation

todifferent imaging approaches with a special focus on disease

diagnosis and monitoring and instrumentation engineering

applications.

Academic Unit: Mechanical Engineering

Level: UG/PG Programme: B. Tech

i Title of the course Finite Element Analysis


iii Type of course Elective


to be offered

Odd/Even


Semester Course

Full

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

the students) – specify course

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

xi Is/Are there any course(s) in

the same/ other academic


equivalent to this course? If


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


Level: UG/PG

Programme: B. Tech

i Title of the course 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



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.


Level: UG/PG

Programme: B. Tech

i Title of the course Additive Manufacturing




to be offered

Odd


Semester Course

Full



number(s)

--

vii Course content Module 1: General overview, Introduction to reverse

engineering, Traditional manufacturing, Rapid

Tooling, Rapid Manufacturing; Indirect

Processes - Indirect Prototyping. Indirect

Tooling, Indirect

Manufacturing. Introduction to Additive

Manufacturing (AM): Overview of Additive

Manufacturing

(AM) (5 hr)

Module 2: Software & Methods, Solid moduling,

Designing for Additive Manufacturing (DfAM),

Software Tools vs. Requirements, Pre- & Post-

processing 3D Scanning & the Scanning

Process,

Sculpting & Repairing Data, AM File Formats,

STEP File Format, More Detail on NURBS

Model

Validation, Working with DICOM Files for 3D

Printing Medical Imagery, Data formats,

conversion,

checking, repairing and transmission. Synergic

integration technologies Part slicing and Build

Orientation, Area-filling strategies, applications

and limitations of AM. (7 hr)

Module 3: AM technologies, classification of AM

processes: Sheet Lamination, Material Extrusion,

Photo-polymerization, Powder Bed Fusion,

Binder Jetting, and Direct Energy Deposition,

Popular

AM processes. Additive manufacturing of

different materials (7 hr).

Module 4: Materials science for AM, discussion on

different materials used in AM, use of multiple

materials, multifunctional and graded materials

in AM, role of solidification rate, Biomaterials,

Heirarchical Materials & Biomimetics,

Ceramics & Bio-ceramics, Shape-Memory

Materials, 4D

Printing & Bio-active materials (7 hr).

Module 5: Key Related Processes, Process selection,

decision methods planning, control for AM,

Monitoring and control of defects, and selection

of Additive Manufacturing processes, tooling

and

manufacturing systems based on product

requirements (7 hr).

Module 6: Applications of AM, Direct Digital

Manufacturing, Distributed Manufacturing, Mass

Customization Biomedical Applications,

Aerospace & Automotive Applications,

Architectural

Engineering Food & Consumer Applications,

Personalized Surgery Art, Fashion, Jewelry,

Toys &

Other Applications (7 hr)

viii Texts/References 1. Gibson, D. W. Rosen, and B. Stucker, Additive

Manufacturing Technologies: Rapid Prototyping to

Direct Digital Manufacturing. Evener, 2014

2. C. K. Chua and K. F. Leong, Rapid Prototyping:

Principles and Applications in Manufacturing.

World Scientific, 2003.

3. Lu, L., Fuh, J., Wong, YS., 2001, Laser Induced

Materials and Processes for Rapid Prototyping,

Kluwer.

4. Pique, A., Chrisey, DB., 2002, Direct Write

Technologies for Rapid Prototyping Applications:

Sensors, Electronics and Integrated Power Sources,

Academic Press.

5. Venuvinod, PK., Ma, W., 2004, Rapid Prototyping -

Laser Based and Other Technologies, Kluwer

ix Name(s) of the Instructor(s) Somashekara M A

x Name(s) of other



relevant

--






NA



Additive Manufacturing (AM) processes has shown

extreme flexibility in design, optimization and

fabrications. Usage of AM


Level: UG/PG

Programme: B. Tech

i Title of the course Solar Energy Collector Systems




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



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.


Level: UG/PG Programme: B. Tech

i Title of the course Fluid Flow and Heat Transfer in Porous Media




offered

Odd/Even


Course

Full



number(s)

Exposure to fluid mechanics and heat transfer

vi

i

Course content Module 1: Mechanics of Fluid flow through Porous Medium:

porosity, volume averaging procedure, Equation of continuity,

momentum equation (Darcy’s Law, Forchheimer equation,

Brinkman equation), Turbulence in porous media. (10 hr)

Module 2: Heat Conduction in Porous Medium: Local thermal

equilibrium, effective stagnant thermal conductivity, thermal

dispersion, local thermal non-equilibrium, interfacial heat transfer

coefficient (8 hr)

Module 3: Forced Convection through Porous Medium: external

flow, internal flows and jet impinging flows (9 hr)

Module 4: Natural Convection through Porous Medium: external

flows (9 hr)

Module 5: Radiation heat transfer through Porous Medium:

Radiation transport equation, energy equation with radiation (6 hr)

vi

ii

Texts/References 1. Donald A Nield and Adrian Bejan, Convection in Porous

Medium, Springer publications, Newyork, 2017, Fifth Edition.

2. M. Kaviany, Principles of Heat Transfer in Porous Media,

Springer publications, Newyork, 1999, Second Edition

3. Arunn Narasimhan, Essentials of Heat and Fluid Flow in Porous

Media, Ane Books Private Limited, New Delhi, 2016, First Edition.

4.Faruk Civan, Porous Media Transport Phenomena, John Wiley

and Sons, Singapore, 2011, First Edition.

5. F.A. L. Dullien, Porous Media: Fluid Transport and Pore

Structure, Academic Press, London, 1992, Second Edition

6. Kambiz Vafai, Handbook of Porous Media, Taylor and Francis,

Florida, 2005, Second Edition

ix Name(s) of the Instructor(s) SVP



course is relevant

NA





No

xi

i



Knowledge of heat and fluid flow through porous media finds

extensive applications in several engineering devices covering

branches, mechanical, civil and chemical engineering. Recent

ramifications include bioengineering and bio-technology.


Level: UG/PG.

Programme: B.Tech

i Title of the course CS 305 Software Engineering


iii Type of Course Core


to be offered

Spring


Semester Course

Full



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



relevant

No






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.

Name of the Academic Unit: Computer Science & Engineering

Level: UG/PG.

Programme: B.Tech

i Title of the course Distributed Systems




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

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

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


Academic Units to whom the course

is relevant





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.


Level: UG/PG.

Programme: B.Tech

i Title of the course CS 4xx Logic for Computer Science




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





No



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.


Level: UG/PG.

Programme: B.Tech

i Title of the course Advanced topics in Embedded Computing




be offered

July to December (Odd)

v Whether Full or

Half Semester Course

Full



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 1. Building Embedded Linux Systems, 2nd Edition by Gilad

Ben-Yossef, Jon Masters, Karim Yaghmour, Philippe

Gerum, O'Reilly Media, Inc. 2008

2. Linux Device Drivers, Third Edition By Jonathan Corbet,

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

Inc. 2005

3. Embedded Systems: ARM Programming and

Optimization by Jason D Bakos, Elsevier, 2015

4. Learning Computer Architecture with Raspberry Pi by

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

Ben Everard, Wiley Publications, 2016

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

2000

6. 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




unit(s) which is/ are equivalent

to this course? If so, please

give details.

No



The use of embedded computing systems has prolifereated in

our lives starting from consumer devices, such as

smartphones and game consoles, to less visible electronic

devices that control, for instance, different aspects of a car's

operation. Typical embedded applications are targeted to run

in heavily constrained environements. The aim of this course

is to develop interdisciplinary skills such that the students can

understand the limitations of the underlying hardware and

accompanying runtime support and also teach them how to

develop solutions able to meet stringent nonfunctional

requirements, such as performance in current and emerging

embedded computing systems.


Level: UG/PG.

Programme: B.Tech

i Title of the course Advanced Computer Networks




offered

Autumn


Course

Full

vi Prerequisite(s), if any (For the


Undergraduate Computer Networks course, Good

Programming Background.

vii Course Content* 1. Circuit, Packet and Virtual Circuit Switching, MPLS

2. Switch Architectures, Buffering Strategies, Input

and Output Queuing, IP Buffer Sizing

3. Quality of Service and Scheduling Algorithms

4. IP Address Lookup and IP Packet Classification

algorithms

5. Software Defined Networking

6. Next Generation Network Architectures, Network

Provisioning and Design, and “Green” (Energy-Efficient)

Networking

7. Data Driven Networking

Viii Texts/References Textbook:

(1) Computer Networks: A Systems Approach, Larry

Peterson and Bruce Davie, 2011.

(2) Performance Evaluation of Computer Systems, by

Raj Jain, Wiley, 1991.

(3) Computer Networking, Kurose and Ross,

Addison-Wesley, 2012.

Reference:

(1) An Engineering Approach to Computer

Networking by S. Keshav, 1997, Addison-Wesley

Professional Series.

(2) Network Routing, by Deepankar Medhi and

Karthikeyan Ramasamy, Morgan Kaufmann, 2007.

(3) SDN: Software Defined Networks, by Thomas D.

Nadeau, Ken Gray, O’Reilly Media, 2013.

(4) High Performance Switches and Routers, By

H.Jonathan Chao and Bin Liu, Wiley, 2007.

(5) Network Algorithmics, by George Varghese,

Morgan Kaufmann, 2005.

x Name(s) of Instructor(s) *** Siba Narayan Swain



course is relevant

Nil





No


the course

The objective of this course is to cover theoretical topics

in the areas of advanced networking protocols and

related mechanisms/algorithms. In particular, we will

study the internal components and mechanisms of a

network router/switch. Further, we will also look into

several advanced topics in networks pertaining to

Software Defined Networking (SDN), Network Function

Virtualization (NFV), and Data Driven Networking. The

course also requires students to implement programming

assignments related to the above topics.

[v12]

Course Title Engineering Mathematics for Advanced Studies

Credit Structure L T P C

Prerequisite NA

Targeted Audience Graduate students taking up research activity Research oriented bachelor students interested to hone their skill in specific math

modules that they have not worked on extensively in previous courses/research

Objective

To make the student recall the basics of each course module and show them how it

will be applicable for research in engineering domain Expected outcome is the understanding of the basic contents in the respective module

in engineering context and with hands-on practice.

Credit allocation

At least 6 modules to obtain minimum 6 credits. At least 8 modules to obtain 8 credits.

Relative grading for each module followed by absolute grading will be adopted for

final course grade assessment.

Targeted Course

Content

Module-1: Linear Algebra: Linear algebraic equations, Vector Spaces,

Orthogonality, Determinants, Eigen-values and Eigen-vectors of matrices,

Singular-value decomposition

Module-2: Ordinary Differential Equations: Terminology, Solution of

Homogeneous and non-homogeneous 1st order linear ODE, Bernoulli, Riccatti

and Logistic equations, Solution of Homogeneous and non-homogeneous 2nd

order linear ODE, System of 1st order ODE

Module-3: Vector Calculus: Dot and Cross Product, Curves, Arc Length,

Curvature, Torsion, Divergence and Curl of a Vector Field, Line Integrals,

Green’s Theorem, Stokes’s Theorem, use of Vector Calculus in various

engineering streams

Module-4: Laplace and Fourier transformation: First and Second Shifting

Theorems, Transforms of Derivatives and Integrals, Fourier Cosine and Sine

Transforms, Discrete and Fast Fourier Transforms, IVT and FVT significance

Module-5: Partial Differential Equations: Basic Concepts of PDEs, Laplace,

Poisson, Heat, Wave Equations, Solution by Separating Variables, Solution by

Fourier Series, Solution by Fourier Integrals and Transforms, Solution using

similarity variable

Module-6: Numerical Methods: Methods for Linear Systems, Least Squares,

Householder’s Tridiagonalization and QR-Factorization, Numerical interpolation,

Numerical integration, Methods for Elliptic, Parabolic, Hyperbolic PDEs,

Module-7: Optimization and Linear Programming: Introduction to convex sets

and functions, and its properties, Important standard classes such as linear and

quadratic programming, Lagrangian based method, Algorithms for unconstrained

and constrained minimization (example gradient descent).

Module-8: Probability Theory and Statistics: Experiments, Outcomes, Events,

Permutations and Combinations, Probability Distributions, Binomial, Poisson,

and Normal Distributions, Distributions of Several Random Variables, Testing

Hypotheses, Goodness of Fit, χ2-Test

Module-9: Tensor Algebra: Index Notation and Summation Convection, Levi-

3/4

=5 0 0 6/8

Module selection

A) PhD students:

Module selection

should be by

mutual agreement

between student

and faculty advisor.

Please ensure pre-

requisite module

completion

requirement for

each module

B) MS Students:

Modules mandatory

for MS students-

EE: 1,3,4,6,7,8

ME: 1,2,3,4,5,6

C) B.Tech.

Students:

Discussion with

course instructor

(SR) and faculty

advisor with

consideration to

academic load and

priorities is required

[v12]

Civita symbol, Triple vector product, Tensor Product, Dyads, transpose, trace,

contraction, projection, spherical and deviatoric tensors, tensorial

transformation laws. Gradient of scalar valued tensor function, Gradient of

tensor valued tensor function

Module-10: Complex Analysis and Potential Theory: The Cauchy-Riemann

Equations, Use of Conformal Mapping, Electrostatic Fields, Heat and Fluid Flow

Problems, <Poisson’s Integral Formula for Potentials >

Texts/References

E. Kreyszig. Advanced Engineering Mathematics, John Wiley & Sons, 2011. A. Schrijver, Theory of Linear and Integer Programming, 1998. Gilbert Strang, Linear Algebra and Its Applications, 4th Edition, 2004.

Gilbert Strang Differential Equations and Linear Algebra, 2014

Additional references-

P.V. O'Neil. Advanced Engineering Mathematics, CENGAGE Learning, 2011. D.G. Zill. Advanced Engineering Mathematics, Jones & Bartlett Learning 2016. B. Dasgupta. Applied Mathematical Methods, Pearson Education, 2006.

Instructor (s)

Prof. SamarthR (SR) >> Module 1, 2, 3, 5, 6, 8, 9

Prof. ShrikanthV (SV) >> Module 4, 10

Prof. Naveen MB (NMB) >> Module 7

Departments to whom

the course is relevant CS/EE/ME

Justification

Engineering mathematics is a key-tool necessary for the research students to be

good in mathematical methods in order to model and analyze the

experimental/computational data. In this course, students learn mathematical

techniques in linear algebra, Vector calculus, Laplace and Fourier transformations,

ODEs and PDEs, elementary numerical methods, probability foundations. Special

modules Tensor algebra and complex numbers are facilitated for those who are

interested. Modular structure of this course offers flexibility to students to

optimally use this course for their specific needs.

Summary 10 modules : SR (7) + SV(2) + NMB(1), modular structure, Course grading -

average of grades received in all modules selected by student.

Time slots: Classroom instruction – Room215, Slot 3, (Mon 10:35-11:30, Tue 11:35-12:30

12:00-01:00 pm; Thu 8:30-9:25), some modules to run in different slots

Walk in hrs – Thu-2:00-3:00pm (tentative)

Module Name Instructor

Pre-requisite

recommendation Mandatory modules for MS

(not mandatory) EE ME

1 Linear Algebra SR Y Y

2 ODE SR Y

3 Vector Calculus SR Y Y

4 Laplace/Fourier SV 2 Y Y

5 PDE SR 2,4 Y

6 Num. Methods SR 1,2 Y Y

7 OptimizationLPP NMB 1 Y

8 Probability&Stats SR Y

9 Tensor Algebra SR 1,3

10 Complex Analysis SV 2,5

Course webpage - https://homepages.iitdh.ac.in/~sraut/Au19_EnggMath/index.html

https://homepages.iitdh.ac.in/~sraut/Au19_EnggMath/index.html

Name of Academic Unit: Biosciences and Bioengineering Level: Ph.D. Program: Ph.D.

i Title of the course Biomedical Spectroscopy and Imaging


iii Type of Course Ph.D. course

iv Semester in which normally to be offered

Spring

v Whether Full or Half Semester Course

Full


--

vii Course Content Module 1: Medical Imaging Module 2: Spectrometry and Instrumentation Module 3: Hyperspectral Imaging, line scanning, and Point

spectroscopy Module 4: Fluorescence spectroscopy and applications Module 5: Infrared spectroscopy and applications Module 6: Raman spectroscopy and applications

viii Texts/References Laser fundamentals, William. T Silfvast, 2004 Photonics, Volume 4: Biomedical spectroscopy, photonics

and microscopy, David L Andrews,2015 Biophotonics: vibrational spectroscopic diagnostics, Mathew

baker, Caryn Hughes, Katherine A Hollywood,2016 Fundamentals of Medical imaging, Suetens P, 2017

ix Name(s) of Instructor(s) Surya Pratap Singh

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

Chemistry 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

The primary aim of this course will be to introduce the participant to the field of medical imaging and bio spectroscopy. The basic theory, instrumentation and working principle will be discussed for routinely employed techniques. An introduction to different imaging approaches with a special focus to diagnosis and therapy monitoring will be provided.

Name of Academic Unit: Biosciences and Bioengineering Level: Undergraduate Program: B.Tech




iv Semester in which normally to be offered

Fall

v Whether Full or Half Semester Course

Full


BB102, EE102

vii Course Content Module 1: Human Physiology Module 2: Medical Imaging and Instrumentation (ECG, CT

etc) Module 3: Basics of microscopy Module 4: Nuclear Magnetic Resonance spectroscopy

(NMR) and magnetic resonance imaging (MRI) Module 5: Mass Spectrometry and applications Module 6: Fluorescence spectroscopy and applications Module 7: Infrared spectroscopy and applications Module 8: Raman spectroscopy and applications

viii Texts/References Laser fundamentals, William. T Silfvast, 2004 Photonics, Volume 4: Biomedical spectroscopy, photonics

and microscopy, David L Andrews,2015 Biophotonics: vibrational spectroscopic diagnostics, Mathew

baker, Caryn Hughes, Katherine A Hollywood,2016 Fundamentals of Medical imaging, Suetens P, 2017 D. Pavia “Introduction to spectroscopy” Cengage Learning

India Private Ltd., 5th Ed., 2015.

R. Silverstein, F. Webster, D. Kiemle, and D. Bryce “Spectrometric identification of organic compounds”, 8th Ed., Wiley, 2015.

C. Banwell and E. McCash “Fundamentals of molecular spectroscopy” 4th Ed., McGraw Hill Education, 2017.

J. Keeler “Understanding NMR spectroscopy” 2nd Ed., Wiley, 2011

J.K. Hall: Guyton and Hall Medical Physiology. Second South Asia Edition 2019, Elsevier


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

xii Justification/ Need for introducing the course

The primary aim of this course is to introduce the field of medical imaging and instrumentation to the participants. The basic theory, instrumentation and working principles of routinely employed techniques in biomedical and chemistry research will be discussed. Participants will be introduced initially to human physiology followed by a detailed orientation to different imaging approaches with a special focus on disease diagnosis and monitoring and instrumentation engineering applications.


Level: UG

Programme: B. Tech

i Title of the course Analog Circuits


iii Type of course Core course


be offered

Spring


Course

Half



number(s)

Exposure to EE 101, EE 201

vii Course content BJT and MOSFET based amplifiers: Cascaded

amplifiers.

Introduction to operational amplifiers: The

difference amplifier and the ideal operational

amplifier models, concept of negative feedback and

virtual short, Analysis of simple operational

amplifier circuits

Frequency response of amplifiers, Bode plots.

Feedback: Feedback topologies and analysis for

discrete transistor amplifiers, stability of feedback

circuits using Barkhausen criteria.

Linear applications of operational amplifiers:

Instrumentation and Isolation amplifiers, Current

and voltage sources, Active filters.

Non-linear applications of operational amplifiers:

Comparators, clippers and clampers, Linearization

amplifiers; Precision rectifiers, Logarithmic

amplifiers, multifunction circuits and true rms

convertors

Waveform Generation: sinusoidal feedback

oscillators, Relaxation oscillators, square-triangle

oscillators

Real operational amplifiers: Current sources and

active loads, difference, intermediate and output

stages including Miller capacitors for frequency

computation,

Operational amplifier parameters; Effects of real

operational amplifier parameters on circuit

performance.

Analog and Digital interface circuits: A/D, D/A

Converters, S/H circuits and multiplexers.

viii Texts/References 1. J. V. Wait, L. P. Huelsman and GA Korn, Introduction

to Operational Amplifier theory and applications, 2nd

edition, McGraw Hill, New York, 1992.

2. J. Millman and A. Grabel, Microelectronics, 2nd edition,

McGraw Hill, 1988.

3. A. S. Sedra and K.C. Smith, Microelectronic Circuits,

Saunder’s College Publishing, Edition IV

4. Ramakant Gayakwad, Op-amps and Linear Integrated

Circuit, 4th edition, Pearson, 2000.

5. P. Horowitz and W. Hill, The Art of Electronics,

2ndedition, Cambridge University Press, 1989.

ix Name(s) of the Instructor(s) NK



course is relevant

Nil





No



This is a core course which introduces analog amplifiers

and their applications in different circuits which are used in

several real life devices.


Level: UG

Programme: B. Tech

i Title of the course MA 201 Complex Analysis




be offered

Autumn


Course

Half



number(s)

Exposure to Calculus (MA 101)

vii Course content Definition and properties of analytic functions. Cauchy-

Riemann equations, harmonic functions. Power series

and their properties. Elementary functions. Cauchy’s

theorem and its applications. Taylor series and Laurent

expansions. Residues and the Cauchy residue formula.

Evaluation of improper integrals. Conformal mappings.

Inversion of Laplace transforms.

viii Texts/References 1. E. Kreyszig, Advanced engineering mathematics (10th

Edition), John Wiley (1999)

2. R. V. Churchill and J. W. Brown, Complex variables

and applications (7th Edition), McGraw-Hill (2003)

3. Theodore Gamelin, Complex Analysis – Springer

Undergraduate texts in Mathematics (2003) ix Name(s) of the Instructor(s) Shreedevi Masuti



course is relevant

NA





No



Complex analysis is essential for many engineering

branches

Syllabus


Level: B. Tech.

Programme: B.Tech.

i Title of the course CS 301 Computer Architecture




offered Autumn



students) – specify course number(s) --

vii

Course Content

The Language of Bits, Assembly Language, Logic

Gates, Registers, and Memories, Processor Design,

Principles of Pipelining, The Memory System,

Multiprocessor Systems, I/O and Storage Devices.

Each concept will be first taught on the basis of the

fundamental driving principles. Following this, real

world examples (e.g., ARM processors) will be used to

emphasize the content.

viii

Texts/References

1. Computer Organization and Architecture, by Smruti

Ranjan Sarangi, McGraw Higher Ed, 2017.

2. Computer Architecture A Quantitative Approach,

Sixth edition, by David Patterson and John L. Hennesy, Morgan Kaufmann, 2017.

ix Name(s) of Instructor(s) RK

x

Name(s) of other Departments/


relevant

EE

xi

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



give details.

No


the course

This course deals with the fundamentals of how a

programmable computer functions.


Level: B.Tech.

Programme: B.Tech.

i Title of the course EE 201 Data Analysis




offered Autumn




vii

Course Content

The role of statistics. Graphical and numerical methods

for describing and summarising data. Probability.

Population distributions. Sampling variability and

sampling distributions. Estimation using a single

sample. Hypothesis testing a single sample. Comparing

two populations or treatments. Simple linear regression

and correlation. Case studies.

viii

Texts/References

1. Introduction to Probability and Statistics for

Engineers and Scientists by Sheldon M. Ross, Elsevier,

New Delhi, 3rd edition (Indian), 2014.

2. Probability, Random Variables and Stochastic

processes by Papoulis and Pillai, 4th Edition, Tata

McGraw Hill, 2002.

3. An Introduction to Probability Theory and Its

Applications, Vol. 1, William Feller, 3rd edition, Wiley

International, 1968.

ix Name(s) of Instructor(s) SRMP

x



relevant

CSE & ME

xi




give details.

No

xii

Justification/ Need for introducing

the course

Analyzing data and interpreting results are integral part

of almost every research and it finds extensive use in

industry as well. From Machine learning to Finance, its

applications are enormous.


Level: B. Tech.

Programme: B.Tech.

i Title of the course CS 303 Data Bases and Information Systems




offered Autumn




vii

Course Content

Overview of data management systems. Relational

model and query languages (relational algebra and

calculus, SQL). Database design using the ER Model,

ER Diagrams, UML Class Diagrams. Relational

database design and normalization. Integrity and

Security. Design and development of Web based

information systems. Overview of storage structures

and indexing, query processing and optimization, and

transaction processing. Introduction to Big Data

management concepts such as: distributed and scalable

data storage, including distributed file systems, key

value stores, column stores and graph databases,

replication and consistency, and concurrent data

processing using the Map Reduce paradigm.

Introduction to decision support and data analysis, data

warehousing and data mining, and Information

Retrieval.

viii

Texts/References

1. Database System Concepts, 6th edition, by Abraham

Silberschatz, Henry F. Korth and S. Sudarshan,

McGraw Hill, 2010.

ix Name(s) of Instructor(s) --

x



relevant

NA

xi




give details.

No


the course Fundamental course on Databases

Syllabus Name of Academic Unit: Computer Science and Engineering

Level: B. Tech.

Programme: B.Tech.

i Title of the course CS 201 Data Structures and Algorithms




offered

Autumn




Exposure to Computer Programming (CS 102)

vii Course Content Introduction: data structures, abstract data types,

analysis of algorithms.

Creation and manipulation of data structures: arrays,

lists, stacks, queues, trees, heaps, hash tables, balanced

trees, tries, graphs. Algorithms for sorting and searching,

order statistics, depth-first and breadth-first search,

shortest paths and minimum spanning tree.

viii Texts/References 1. Introduction to Algorithms, 3rd edition, by T. Cormen, C. Leiserson, R. Rivest, C. Stein, MIT Press and McGraw-Hill, 2009.

2. Data structures and algorithms in C++, by Michael

T. Goodrich, Roberto Tamassia, and David M. Mount,

Wiley, 2004.

ix Name(s) of Instructor(s) SRB



relevant

NA




give details.

No


course

Basic course in data structures and algorithms.


Level: UG

Programme: B. Tech

i Title of the course Differential Equations – II




be offered

Autumn


Course

Half



number(s)

Exposure to Calculus (MA 101) , Differential Equation-I

(MA 104)

vii Course content Review of power series and series solutions of ODE's.

Legendre's equation and Legendre polynomials. Regular and

irregular singular points, method of Fresenius. Bessel's

equation and Bessel's functions. Strum- Liouville

problems. Fourier series. D'Alembert solution to the Wave

equation. Classification of linear second order PDE in two

variables. Laplace, Wave, and Heat equations using

separation of variables. Vibration of a circular membrane.

Heat equation in the half space.

viii Texts/References 1. E. Kreyszig, Advanced engineering mathematics (10th

Edition), John Wiley (1999)

2. W. E. Boyce and R DiPrima, Elementary Differential

Equations (8th Edition), John Wiley (2005)

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



course is relevant

NA





No



Advanced differential equations is needed in many

engineering branches


Level: UG

Programme: B. Tech

i Title of the course Digital Signal Processing




be offered

Spring


Course

Half



number(s)

Signals and Systems (EE 207)

vii Course content Discrete time signals: Sequences, representation of

signals on orthogonal basis, Sampling and

reconstruction of signals, Discrete systems:

attributes, Z- Transform, Analysis of LSI systems,

Frequency analysis, Inverse Systems, Discrete

Fourier Transform (DFT), Fast Fourier Transform

algorithm, Implementation of Discrete Time

Systems.

Design of FIR Digital filters: Window method, Park-

McClellan's method.

Design of IIR Digital Filters: Butterworth,

Chebyshev and Elliptic Approximations, Lowpass,

Bandpass, Bandstop and High pass filters.

Effect of finite register length in FIR filter design.

Parametric and non-parametric spectral estimation.

Introduction to multirate signal processing.

Application of DSP to Speech and Radar signal

processing. Assignments and course projects based

on MATLAB and ARM based digital signal

processing lab.

viii Texts/References 1. A.V. Oppenheim and Schafer, Discrete Time Signal

Processing, Prentice Hall, 1989.

2. John G. Proakis and D.G. Manolakis, Digital Signal

Processing: Principles, Algorithms and

Applications, Prentice Hall, 1997.

3. L.R. Rabiner and B. Gold, Theory and Application

of Digital Signal Processing, Prentice Hall, 1992.

4. J.R. Johnson, Introduction to Digital Signal

Processing, Prentice Hall, 1992.

5. J. DeFatta, J. G. Lucas and W. S. Hodgkiss, Digital

Signal Processing, J Wiley and Sons, Singapore,

1988.

ix Name(s) of the Instructor(s) SRMP



course is relevant

Computer Science and Engineering, Physics, Mechanical

Engineering



No





This is foundation course in digital signal processing and

essential for all electrical engineers. The course can be

offered as an elective course for the Computer Science and

Engineering students also. In the current world, most of the

systems are digital. Thus, it is important to understand the

requirement for such a system, and how one can efficiently

process the signals, and design systems in the digital

domain; this course lays foundation for these aspects.


Level: B. Tech.

Programme: B.Tech.

i Title of the course CS 203 Discrete Structures




offered Autumn




vii

Course Content

There are four modules in the course:

1) Proofs and structures Introduction, propositions, predicates, examples of

theorems and proofs, types of proof techniques,

Axioms, Mathematical Induction, Well-ordering

principle, Strong Induction, Sets, Russell’s paradox,

infinite sets, functions, Countable and uncountable

sets, Cantor’s diagonalization technique, Relations,

Equivalence relations, partitions of a set.

2) Counting and Combinatorics Permutations, combinations, binomial theorem, pigeon

hole principle, principles of inclusion and exclusion,

double counting. Recurrence relations, solving

recurrence relations.

3) Elements of graph theory Graph models, representations, connectivity, Euler and

Hamiltonian paths, planar graphs, Trees and tree

traversals.

4) Introduction to abstract algebra and number

theory

Semigroups, monoids, groups, homomorphisms,

normal subgroups, congruence relations. Ceiling, floor

functions, divisibility. Modular arithmetic, prime

numbers, primality theorems.

viii

Texts/References

1. Discrete Mathematics and its applications with

Combinatorics and graph theory, 7th edition, by

Kenneth H Rosen. Special Indian Edition published by

McGraw-Hill Education, 2017.

2. Introduction to Graph Theory, 2nd Edition, by

Douglas B West. Eastern Economy Edition published

by PHI Learning Pvt. Ltd, 2002.

3. Discrete Mathematics, 2nd Edition, by Norman L

Biggs. Indian Edition published by Oxford University

Press, 2003.

ix Name(s) of Instructor(s) PRB

x



relevant

NA

xi




give details.

No

xii

Justification/ Need for introducing

the course

This is a fundamental and core course which forms the

foundations for all theory courses in Computer

Science.

Name of Academic Unit: Humanities and Social Sciences

Level: B.Tech.

Programme: B.Tech.

i Title of the course HS 201 Economics




offered Autumn


Course Full



vii

Course Content

Basic economic problems. resource constraints and

Welfare maximizations. Nature of Economics: Positive

and normative economics; Micro and macroeconomics,

Basic concepts in economics. The role of the State in

economic activity; market and government failures;

New Economic Policy in India. Theory of utility and

consumer’s choice. Theories of demand, supply and

market equilibrium. Theories of firm, production and

costs. Market structures. Perfect and imperfect

competition, oligopoly, monopoly. An overview of

macroeconomics, measurement and determination of

national income. Consumption, savings, and

investments. Commercial and central banking.

Relationship between money, output and prices.

Inflation - causes, consequences and remedies.

International trade, foreign exchange and balance

payments, stabilization policies : Monetary, Fiscal and

Exchange rate policies.

viii

Texts/References

1. P. A. Samuelson & W. D. nordhaus, Economics,

McGraw Hill, NY, 1995.

2. A. Koutsoyiannis, Modern Microeconomics,

Macmillan, 1975. R. Pindyck and D. L. Rubinfeld,

Microeconomics, Macmillan publishing company, NY,

1989.

3. R. J. Gordon, Macroeconomics 4th edition, Little

Brown and Co., Boston, 1987.

4. William F. Shughart II, The Organization of Industry, Richard D. Irwin, Illinois, 1990. 5. R.S. Pindyck and D.L. Rubinfeld. Microeconomics

(7th

Edition), Pearson Prentice Hall, New Jersey, 2009. 6. R. Dornbusch, S. Fischer, and R. Startz.

Macroeconomics (9th Edition), McGraw-Hill Inc. New

York, 2004.


x



relevant

CSE, EE & ME

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


the course

This course is a basic course on economics and useful

for all students of B.Tech.


Level: UG

Programme: B. Tech

i Title of the course Electronic Devices




be offered

Autumn


Course

Full



number(s)

Exposure to Introduction to Electrical and Electronics

components (EE 102)

vii Course content Modeling devices: Static characteristics of ideal two terminals

and three terminal devices; Small signal models of non-linear

devices.

Introduction to semiconductor equations and carrier

statistics: Poisson's and continuity equations, Fermi-Dirac

statistics and Boltzmann approximation to the Fermi-Dirac

statistics.

Semiconductor Diodes: Barrier formation in metal-

semiconductor junctions, PN homo- and hetero- junctions;

CV characteristics and dopant profiling; IV characteristics;

Small signal models of diodes; Some Applications of diodes.

Field Effect Devices: JFET/HFET, MIS structures and

MOSFET operation; JFET characteristics and small signal

models; MOS capacitor CV and concept of accumulation,

depletion and inversion; MOSFET characteristics and small

signal models.

Bipolar transistors: IV characteristics and Elers- Moll model;

small signal models; Charge storage and transient response.

Discrete transistor amplifiers: Common emitter and

common source amplifiers; Emitter and source followers.

viii Texts/References 1. D. A. Neamen, Semiconductor Physics and

Devices, 4e Edition, McgrawHill, 13th reprint, 2016

2. E.S. Yang, Microelectronic Devices, McGraw Hill,

Singapore, 1988

3. B.G. Streetman, Solid State Electronic Devices, 7th

Edition, Pearson, 2016

4. J. Millman and A. Grabel, Microelectronics, II

edition 34th reprint McGraw Hill, International, 2017.

5. A.S. Sedra and K.C. Smith, Microelectronic Circuits,

Saunder's College Publishing, 1991

6. R.T. Howe and C.G. Sodini, Microelectronics : An

integrated Approach, Prentice Hall International, 1997 ix Name(s) of the Instructor(s) RG



course is relevant

NA





No



This is one of the preliminary courses required at the beginning

of Electrical Engineering

7

Name of Academic Unit: Mechanical Engineering

Level: UG

Programme: B.Tech.

i Title of the course ME 202 Engineering Materials




offered

Spring


Course

Full



number(s)

Nil

vii Course Content Economic, Environmental and Societal Issues in

Materials Science & Engineering

Basic Materials Science: Crystallography, phase diagrams, grain boundaries, dislocation movements and their effects on

properties

Material properties: Stress-strain relationships, Tensile

strength, Toughness, Impact Strength, Ductility, Malleability,

Stress intensity, Fatigue

Failure: by Oxidation, Corrosion (Types, impact on material

properties), prevention, Passivation, Selective Leaching,

Stress Corrosion Cracking, Creep, Embrittlement

Strengthening mechanisms: Solute Hardening, chemical

hardening, dispersion hardening, cold working, strain

hardening

Aluminium alloys: Properties, phase diagrams and uses

Copper alloys: Properties phase diagrams and uses

Ferrous Alloys (Steels): Types, properties, iron-carbon

phase diagrams

Material Selection: Ashby Charts

Ceramics: Structure and Properties, Mechanical Properties

of Ceramics, Types and Application of Ceramics, Fabrication

and Processing of Ceramics

Polymers: Molecules, Structures and Shapes, Thermosetting

& Thermoplastic, Polymer Crystals, Polymer Characteristics

and Applications, Synthesis, Processing and Degradation.

Composites: Processing of Fiber Reinforced Composites,

Structural Composites, Application of Composites

viii Texts/References TEXTBOOKS 1.W.D. Callister, Jr. & D.G. Rethwisch: ‘Materials science

and Engineering: An Introduction’, 9th

Ed., John Wiley (2014)

8

2.W.F.Smith and J.Hashemi: ‘Foundations of Materials

Science and Engineering’, 5th

Ed., McGraw-Hill(2009).

REFERENCES 1.D.R.Askeland, P.P.Phule& W.J. Wright: ‘The Science and

Engineering of Materials’ 7th

Ed., Cengage

Learning(2014). 2.V.Raghavan: Materials Science and Engineering: A First

Course’ 6th

Ed. PHI(2015). 3.J.F. Shackeford: ‘An Introduction to Materials Science for

engineers’ 8th

Ed., Pearson (2016).

4.R.A.Higgins: ‘Properties of Engineering Materials’ 2nd

Ed., Industrial Press (1994).

5. T.Fishcher: ‘Materials Science for Engineering Students’,

Academics Press (2009). 6. V.Raghavan: ‘Physical Metallurgy: Principles and

Practice’ 3rd

Ed., PHI (2015)


x Name(s) of other Departments/ Nil


course is relevant

xi Is/Are there any course(s) in the No




xii Justification/ Need for introducing Course in Engineering materials is required to be

the course comprehensive and advanced as these materials are being used

in Mechanical industries.

4


Level: B.Tech.

Programme: B.Tech.

i Title of the course ME 201 Engineering Mechanics



iv Semester in which normally to be Autumn

offered


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


vii Course Content Module 1: Introduction to Engineering Mechanics

covering, Force Systems Basic concepts, Particle

equilibrium in 2-D & 3-D; Rigid Body equilibrium;

System of Forces, Coplanar Concurrent Forces,

Components in Space – Resultant- Moment of Forces

and its Application; Couples and Resultant of Force

System, Equilibrium of System of Forces, Free body

diagrams, Equations of Equilibrium of Coplanar

Systems and Spatial Systems; Static Indeterminacy

Module 2: Friction covering, Types of friction,

Limiting friction, Laws of Friction, Static and

Dynamic Friction; Motion of Bodies, wedge friction,

screw jack & differential screw jack;

Module 3: Basic Structural Analysis covering,

Equilibrium in three dimensions; Method of Sections;

Method of Joints; How to determine if a member is in

tension or compression; Simple Trusses; Zero force

members; Beams & types of beams; Frames &

Machines;

Module 4: Centroid and Centre of Gravity covering,

Centroid of simple figures from first principle,

centroid of composite sections; Centre of Gravity and

its implications; Area moment of inertia- Definition,

Moment of inertia of plane sections from first

principles, Theorems of moment of inertia, Moment of

inertia of standard sections and composite sections;

Mass moment inertia of circular plate, Cylinder, Cone,

Sphere, Hook;

Module 5: Virtual Work and Energy Method- Virtual

displacements, principle of virtual work for particle

and ideal system of rigid bodies, degrees of freedom.

Active force diagram, systems with friction,

mechanical efficiency. Conservative forces and

potential energy (elastic and gravitational), energy

equation for equilibrium. Applications of energy

5

method for equilibrium. Stability of equilibrium.

Module 6: Particles dynamics-

Kinematics of Particles:

Rectilinear motion, Plane curvilinear motion -

rectangular coordinates, normal and tangential

coordinates, polar coordinates, Space curvilinear -

cylindrical, spherical (coordinates), Relative and

Constrained motion.

Kinetics of Particles:

Force, mass and acceleration – rectilinear and

curvilinear motion, work and energy, impulse and

momentum – linear and angular; Impact – Direct and

Oblique.

Kinetics of System of Particles:

Generalized Newton’s Second Law, Work-Energy,

Impulse-Momentum, Conservation of Energy and

Momentum

Module 7: Introduction to Rigid body dynamics

Kinematics of Planar Rigid Bodies:

Equations for rotation of a rigid body about a fixed

axis, General plane motion, Instantaneous Center of

Rotation in Plane Motion Plane Motion of a Particle

Relative to a Rotating Frame. Coriolis Acceleration

Kinetics of Planar Rigid Bodies:

Equations of Motion for a Rigid Body, Angular

Momentum of a Rigid Body in Plane Motion, Plane

Motion of a Rigid Body and D’Alembert’s Principle,

Systems of Rigid Bodies, Constrained Plane Motion;

Energy and Work of Forces Acting on a Rigid Body,

Kinetic Energy of a Rigid Body in Plane Motion,

Systems of Rigid Bodies, Conservation of Energy,

Plane Motion of a Rigid Body - Impulse and

Momentum, Systems of Rigid Bodies, Conservation of

Angular Momentum.

Module 8: Mechanical Vibrations covering, Basic

terminology, free and forced vibrations, resonance and

its effects; Degree of freedom; Derivation for

frequency and amplitude of free vibrations without

damping and single degree of freedom system, simple

problems, types of pendulum, use of simple,

compound and torsion pendulums

viii Texts/References Textbooks:

1. J. L. Meriam and L. G. Kraige, Engineering

Mechanics, Vol I – Statics, Vol II – Dynamics, 6th Ed,

John Wiley, 2008.

2. F. P. Beer and E. R. Johnston, Vector Mechanics for

Engineers, Vol I - Statics, Vol II – Dynamics, 9th Ed,

Tata McGraw Hill, 2011.

3. R. C. Hibbler, Engineering Mechanics: Principles of

Statics and Dynamics, Pearson Press, 2006.

6

References:

1. S. P. Timoshenko and D. H. Young, Engineering Mechanics. Fourth Edition. McGraw- Hill, New York, 1956.

2. I. H. Shames, Engineering Mechanics: Statics

and dynamics, 4th Ed, PHI, 2002.

3. Robert W. Soutas-Little; Daniel J. Inman; Daniel

Balint, Engineering Mechanics: Dynamics –

Computational Edition, 1st Ed., Cengage Learning,

2007

4. Robert W. Soutas-Little; Daniel J. Inman; Daniel Balint, Engineering Mechanics: Statics- Computational Edition, 1st Ed., ,Cengage Learning, 2007

ix Name(s) of Instructor(s) TPG, PS

x Name(s) of other Departments/ NA


relevant

xi Is/Are there any course(s) in the same/ No



give details.

xii Justification/ Need for introducing the This is a fundamental and core course which is

course essential for appreciating the influence of forces and force systems on particles/rigid bodies for all mechanical engineering students. This basic

engineering course forms the base on which other

course like Mechanics of Solids and Theory of Machines.

9


Level: B.Tech.

Programme: B.Tech.

i Title of the course ME 203 Fluid Mechanics




offered


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


vii Course Content Introduction: Scope, definition of fluid, fluid as

continuum, fluid properties: density, specific weight,

specific gravity, viscosity, kinematic viscosity,

classification of fluid motion

Fluid Statics: Pressure at a point, basic equation for

pressure field, pressure variation (fluid at rest):

incompressible and compressible fluid, standard

atmosphere, Measurement of pressure: manometry,

Hydrostatic Force on a plane and curve surface,

pressure prism, Buoyancy, flotation and stability,

pressure variation in a fluid with rigid body motion –

linear motion, rigid body rotation.

Elementary Fluid Dynamics: Newton’s second law

along and normal to a streamline, physical

interpretation, static, stagnation pressure, Use of

Bernoulli Eq.: free jets, confined flows, restrictions on

the use of Bernoulli Eq.: compressibility effects, unsteady effects, rotational effects and others.

Fluid Kinematics: The velocity field: Eulerian and

Lagrangian flow descriptions, 1D, 2D and 3D flows,

steady and unsteady flows, streamlines, streaklines

and pathlines. Acceleration field: material derivative,

unsteady and convective effects. Control volume and

system representation: Reynolds Transport Theorem,

physical interpretation, steady, unsteady effects,

moving control volume.

Integral approach: Conservation of mass: derivation

of continuity, fixed, non-deforming control volume,

moving non-deforming control volume, deforming

control volume. Conservation of momentum: linear

momentum and moment of momentum equation and

their application. First law of thermodynamics:

derivation & application of energy Eq., comparison of

energy equation with Bernoulli’s equation, application

of energy equation to non-uniform flows, combination

of energy equation and moment of momentum

equation.

10

Differential approach: linear motion and

deformation, angular motion and deformation,

Conservation of mass: differential form of continuity

equation, stream function, Conservation of linear

momentum: description of forces acting on the

differential element, equations of motion, Inviscid

Flow: Euler’s equation of motion, the Bernoulli’s

equation, Irrotational flow, Bernoulli equation for

irrotational flow, the velocity potential, flow net.

Viscous flow: Stress deformation relationships,

Navier-Stokes Eqs., Simple solutions for viscous

compressible fluids: parallel flow through straight

channel, Couette, plane Poiseuille, Hagen- Poiseuille,

flow betn. two co-axial cylinders.

Dimensional analysis and modelling: Importance of

dimensional analysis, Buckingham’s Pi Theorem,

Dimensionless groups, Dimensional analysis through

governing differential equations

Viscous Flow in Pipes: General characteristics of pipe

flow – laminar or turbulent flow, entrance region and

fully developed flow, pressure and shear stress. Fully

Developed Turbulent Flow – transition from laminar

to turbulent flow, turbulent shear stress, turbulent

velocity profile. Moody chart, minor losses, non-

circular conduits, single pipes and multiple pipe

systems, Pipe Flow rate measurement.

Flow Over Immersed Bodies: Boundary layer

characteristics: boundary layer structure and thickness

on a flat plate, Blasius boundary layer, momentum

integral boundary layer equation for a flat plate,

transition from laminar to turbulent, momentum

integral boundary layer equation for a flat plate,

turbulent boundary layer flow.

viii Texts/References 1. Yunus A. Cengel, John M. Cimbala, Fluid

Mechanics, Tata McGraw Hill Education, 2011.

2. F.M.White, Fluid Mechanics, Seventh Edition, Tata

McGraw Hill Education, 2011.

3. Philip J.Pritchard, Alan T.Mcdonald,RobertW.Fox,

Introduction to Fluid Mechanics, Wiley, 2009.

4. John F. Douglas, J. M. Gasoriek, Lynne Jack and

John Swaffield, Fluid Mechanics, Pearson, 2008.

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



relevant




give details.

xii

Justification/ Need for introducing the

course

This is a fundamental and core course which is essential for appreciating the fluid flow which is of utmost

importance for mechanical B.Tech. Major.

5


Level: B.Tech.

Programme: B.Tech.

i Title of the course ME 301 Heat Transfer




offered

Autumn


Course

Full



--

vii Course Content Introduction: Typical heat transfer situations, Modes of

heat transfer, Introduction to laws, some heat transfer

parameters

Conduction: Fourier’s law and thermal conductivity,

Differential equation of heat conduction, boundary

conditions and initial conditions, Simple one dimensional

steady state situations – plane wall, cylinder, sphere

(simple and complex situations), concept of thermal

resistance, concept of U, critical radius. variable thermal

conductivity (exercise), Special one dimensional steady

state situations: heat generation, pin fins, Other fin

configurations (exercise), Two dimensional steady state

situations, Transient conduction, Lumped capacitance

model, One dimensional transient problems: analytical

solutions, 1D Heisler charts, Product solutions,

Numerical methods in conduction, Steady state 1D and

2D problems, 1D transient problems: Explicit and

implicit

Radiation: Basic ideas, spectrum, basic definitions,

Laws of radiation, black body radiation, Planck’s law,

Stefan Boltzman law, Wien’s Displacement law,

Lambert cosine law, Radiation exchange between black

surfaces, shape factor, Radiation exchange between gray

surfaces – Radiosity-Irradiation method, Parallel plates,

Enclosures (non-participating gas), Gas radiation

Forced Convection: Concepts of fluid mechanics,

Differential equation of heat convection, Laminar flow

heat transfer in circular pipe: constant heat flux and

constant wall temperature, thermal entrance region,

Turbulent flow heat transfer in circular pipe, pipes of

other cross sections, Heat transfer in laminar flow and

turbulent flow over a flat plate, Reynolds analogy, Flow

across a cylinder and sphere, flow across banks of tubes,

impinging jets

Natural Convection: Introduction, governing equations,

Vertical plate – Pohlhausen solution, horizontal cylinder,

horizontal plate, enclosed spaces

Heat Exchangers: Types of heat exchangers, LMTD

approach – parallel, counter-flow, multi-pass and cross

6

flow heat exchanger, NTU approach: parallel, counter-

flow, shell and tube, cross flow heat exchanger

Condensation and Boiling: Dimensionless parameters,

boiling modes, correlations, forced convection boiling,

laminar film condensation on a vertical plate, turbulent

film condensation

Mass Transfer: Analogy between heat and mass

transfer, mass diffusion, Fick’s law of diffusion,

boundary conditions, steady mass diffusion through a

wall, transient mass diffusion, mass convection,

limitations of heat and mass transfer analogy.

viii Texts/References 1. Incropera FP and Dewitt DP, Fundamentals of Heat

and Mass Transfer, 5th e, John Wiley & Sons, 2010.

2. Cengel YA, Heat and Mass Transfer - A Practical

Approach, Third edition, McGraw-Hill, 2010.

3. Holman JP, Heat Transfer, McGraw-Hill, 1997.

ix Name(s) of Instructor(s) SVP



relevant

NA




give details.

No


course

This is a fundamental and core course which is essential

for appreciating the modes of heat transfer essential for

functionality of the mechanical equipment.


Level: UG

Programme: B. Tech

i Title of the course Introduction to communication systems




be offered

Spring


Course

Full



number(s)

Exposure to MA 105 (basic calculus) or equivalent,

Probability and Random Process (EE 308)

vii Course content Introduction: Analog or Digital? Why analog

design remains important? A Technology

Perspective, Scope of this course, why study

Communication Systems?

Signals and Systems: Signals, Linear Time

Invariant Systems and its analysis, Multi-rate

systems, Fourier Series and transforms: application

and its properties, Energy Spectral Density and

Bandwidth, Baseband and Passband Signals,

Complex baseband equivalent of passband filtering,

General Comments on Complex Baseband, Wireless

Channel Modeling in Complex Baseband

Analog Communication Techniques: Amplitude

Modulation, Double Sideband (DSB) Suppressed

Carrier (SC), Conventional AM, Single Sideband

Modulation (SSB), Vestigial Sideband (VSB)

Modulation, Quadrature Amplitude Modulation,

Angle Modulation: FM Spectrum and the Phase

Locked Loop, applications of analog

communications.

Digital Modulation: Introduction to signal

constellations,

Power Spectral Density, Design for Bandlimited

Channels, Nyquists Sampling Theorem and the Sinc

Pulse, Nyquist Criterion for ISI Avoidance, Linear

modulation as a building block, Orthogonal and

Biorthogonal Modulation.

Recap of Probability Basics: Random Variables,

Multiple Random Variables, or Random Vectors,

Functions of random variables, Expectation, Joint

Gaussianity, Introduction to random process, Wide

Sense Stationarity and Stationarity, Power Spectral

Density, Noise Modeling, Linear Operations on

Random Processes, Filtering and Correlation.

Optimal Demodulation: Hypothesis Testing, ML

and MAP decision rules, Signal Space Concepts,

representing signals as vectors, Hypothesis testing in

signal space, Optimal Reception in AWGN,

Geometry of the ML decision rule and performance

analysis of various modulation schemes.

Channel Coding: Motivation, Model for Channel

Coding, Shannons promise, design implications of

Shannon limits, introducing to linear codes, soft

decisions and belief propagation

(if time permits)

Dispersive Channels and MIMO: Single carrier

system model, Linear equalization, quick

introduction to Orthogonal Frequency Division

Multiplexing, Introduction to MIMO

systems.

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

Communication Systems,” Cambridge university press, 2008 edition.

2. B. P. Lathi and Zhi Ding, “Modern Digital and Analog Communication Systems,” Oxford higher education, 2017.

ix Name(s) of the Instructor(s) NMB



course is relevant

CSE





No



SEMESTER III (2019 Batch)


Level: UG

Programme: B. Tech

i Title of the course Introduction to Probability


iii Type of course Core course for EE and elective for CS


be offered

Autumn


Course

Half



number(s)


vii Course content Introduction: Motivation for studying the course,

revision of basic math required, connection between

probability and length on subsets of real line,

probability-formal definition, events and sigma-

algebra, independence of events, and conditional

probability, sequence of events, and Borel-Cantell

Lemma.

Random Variables: Definition of random

variables, and types of random variables, CDF, PDF

and its properties, examples of random variables,

random vectors and independence, brief introduction

to transformation of random variables, introduction

to Gaussian random vectors

Mathematical Expectation: Importance of

averages through examples, definition of

expectation, moments and conditional expectation,

use of MGF, PGF and characteristic functions,

variance and k-th moment.

Inequalities and Notions of convergence: Markov,

Chebychev, Chernoff and Mcdiarmid inequalities,

convergence in probability, mean, and almost sure.

Random Process: Example and formal definition,

stationarity, autocorrelation, and cross correlation

function, ergodicity, KL expansion, introduction to

special random process such as Markov chains,

Martinagale and Brownian motion.

Markov Chain: Communication classes and its

properties, stationary distribution and its existence,

Poisson processes, Example applications of Markov

decision process. Applications of the tools discussed

in the course in electrical engineering and computer

science

viii Texts/References 1. Robert B. Ash, ``Basic Probability Theory," Reprint

of the John Wiley & Sons, Inc., New York, 1970

edition.

2. Sheldon Ross, `À first course in probability,"

Pearson Education India, 2002.

3. Bruce Hayek, `Àn Exploration of Random

Processes for Engineers," Lecture notes.

ix Name(s) of the Instructor(s) Naveen M B



course is relevant

Computer Science and Engineering





No



"Randomness" is inherent to most of the systems in electrical

engineering. Especially, in the field of communication, the

noise at the receiver brings in several challenges in designing

systems that are immune to noise. To face this challenge, it

is fundamental to model and understand the “randomness.”

This course is aimed at covering tools necessary to achieve

this goal through several example applications in electrical

and computer science engineering disciplines.

7


Level: B.Tech.

Programme: B.Tech.

i Title of the course ME 303 Kinematics and Dynamics of Machines




offered

Autumn


Course

Full



Exposure to Engineering Mechanics (ME 201)

vii Course Content Introduction to Mechanisms. Position, velocity and

acceleration analysis. Design of Cam Follower

Mechanisms. Gear tooth profiles, spur gears and helical

gears. Epicyclic Gear Trains. Dynamic Analysis of

Mechanisms. Balancing. Analysis and Applications of

Discrete and Continuous System Vibration.

viii Texts/References 1. B. Paul, Kinematics and Dynamics of Planar

Mechanisms, Prentice Hall, 1979.

2. J.J. Uicker, G.R. Pennock, and J.E. Shigley, Theory of

Machines and Mechanisms (3rd edition), Oxford

University Press, New York, 2005.

3. S.S. Rattan, Theory of Machines (2nd edition), Tata

McGraw Hill, New Delhi, 2005.

4. R.L. Norton, Design of Machinery (3rd edition), Tata

McGraw Hill, New Delhi, 2005.

5. F.S. Tse, I.E. Morse, and R.T. Hinkle, Mechanical

Vibrations, CBS Publishers and Distributors, 1983.

6. J.S. Rao, and K. Gupta, Introductory Course on

Vibrations, Wiley Eastern, 1984.

7. J.P. Den Hartog, Mechanical Vibrations, McGraw Hill,

1956.

ix Name(s) of Instructor(s) SD



relevant

Nil




give details.

No


course

--

32

i Title of the course CS 701 Logic and Applications ii Credit Structure (L-T-P-C) (3-0-0-6) iii Type of Course Core course iv Semester in which normally to be

offered Autumn


Course Full


students) – specify course number(s) Discrete Mathematics, Theory of computation.

vii Course Content* Module 1 : Propositional Logic: Natural deduction, semantics, soundness,

completeness, compactness, normal forms, Horn

clauses and ѕatisfiability. Module 2: Predicate Logic: Natural deduction, resolution, undecidability,

expressiveness. Module 3: Some decidable fragments of first-order

logic and their decision procedures: propositional

logic, equality with uninterpreted functions, linear

arithmetic, Presburger logic ,bit vectors, arrays,

pointer logic. Module 4: SAT and SMT solvers: theory and practice: Decision procedures for combinations of first-order theories: Nelson-Oppen, Shostak, Satisfiability

Modulo Theories(SMT) Combination with SAT solvers: eager, lazy

approaches. Student is required to do a small project using a

SAT/SMT solver.

Vii

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

Ryan,

Cambridge University Press.

(2) Mathematical Logic for Computer science,

Mordechai Ben-Ari, Springer.

(3) Logic for Computer Scientists, Uwe Schoning,

Birkhauser.

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

ix Name(s) of Instructor(s) *** Ramchandra Phawade x Name(s) of other Departments/


relevant

Nil

33




give details.

No


course This foundational course in Logic in essential for doing

research in Formal methods of verification,

Concurrency and in general Theoretical Computer

Science.

Name of Academic Unit : Computer Science and Engineering

Level : PhD

Programme : PhD

8


Level: B.Tech.

Programme: B.Tech.

I Title of the course ME 305 Manufacturing Processes II







--

vii Course Content Material Removal Processes: Mechanics of Machining, tool

geometry and materials, chip formation, tool temperature, tool

wear, tool life, surface finish, machinability. Optimization of

machining processes. Machine Tools: Generation of surfaces

by machining, basic operations on shaping, slotting and

planning machines, lathe, drilling and boring machines and

grinding machines. Process Parameters and setups. Production

Machines: Capstan and turret lathes, automats, broaching

machines, centreless grinding machines. Special purpose

machines for thread cutting and gear cutting (hobbing and

shaping). Finishing processes honing, laping burnishing and

deburring. Introduction to modern machining processes: EDM,

ECM, LASER, Jigs and fixtures, principles of location and

clamping, synthesis of simple jigs and fixtures. Principles of

assembly engineering, theory of dimensional chains, fully

interchangeable and selective assembly. Introduction to

Numerical Control.

viii Texts/References 1. G. Boothroyd and W. A. Knight, Fundamentals of Machining

and Machine Tools, Marcel Dekker, 1989.

2. A. Ghosh and A. K. Mallik, Manufacturing Science, Affiliated

East West Press, 1985. HMT, Production Technology, Tata

McGraw Hill, 1980.

3. J. Mcgeough, Advanced Methods of Machining, Chapman

and Hall, 1988.

4. M. F. Spotts, Dimensioning and Tolerancing for Quality

Productions, Prentice Hall, 1983.




Nil




give details.

No


course

3

I Title of the course Measure Theory

Ii Credit Structure (L-T-P-C) (3-1-0-8)

Iii Type of Course PhD course work

Iv Semester in which normally to be

offered

V Whether Full or Half Semester Course Full

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


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.

Lp spaces and its dual. Riesz representation theorem.

Hausdorff Measure and Dimension. Measure

preserving and ergodic transformation, maximal

functions. Von Neumann’s L2 ergodic theorem and

Birkoff’s ergodic theorem.

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

4

X Name(s) of other Departments/


relevant

Physics

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



give details.

No

Xii Justification/ Need for introducing the

course

This course will be beneficial for PhD students who

want to work in the area of analysis (like functional

analysis, Harmonic analysis, PDE).


Level: UG

Programme: B. Tech

i Title of the course Network Theory




be offered

Autumn


Course

Full



number(s)

--

vii Course content Graphs of networks: current and voltage spaces of

graphs and their representations: incidence, cutset

and circuit matrices; Tellegen's Theorem.

Formal study of methods of analysis such as nodal,

modified nodal, cutset, loop analysis for linear

networks.

Multiport representation for networks with

particular emphasis on 2-ports.

Time domain analysis of R, L, M, C, controlled

sources, networks using state space methods.

Introduction to s-domain methods.

viii Texts/References 1. Jerome P. Levine, Omar Wing, Classical Circuit Theory,

Springer, 2009.

2. S. Ghosh, Network Theory: Analysis and Synthesis,

Prentice Hall of India, 2005.

3. N Balabanian and T.A. Bickart, Linear Network Theory:

Analysis, Properties, Design and Synthesis, Matrix

Publishers, Inc. 1981.

4. L.O. Chua, C.A. Desoer, E.S. Kuh, Linear and

Nonlinear Circuits, McGraw - Hill International

Edition 1987. ix Name(s) of the Instructor(s) Abhijit Kshirsagar



course is relevant

NA





No



This is one a fundamental course for B.Tech Electrical

Engineering students

Page 85 of 126


Level: PhD

Programme: PhD

i Title of the course Probability theory and random process




offered

Autumn





vii Course Content 1. Preliminaries (a) Sequences and limits

(b) Cardinality, sequence of sets

(c) Continuity of functions, convex functions, and

convex sets

2. Probability Space (a) Probability versus length on subsets of R

(b) Lebesgue measure and Borel sets (without

construction of measures)

(c) Probability, events and σ-algebra

(d) Independence of events, and conditional

probability

(e) Sequence of events, and Borel-Cantelli Lemma

3. Random Variables (a) Definition of random variables, and types of

random variables

(b) CDF, PDF and its properties

(c) Random vectors and independence

(d) Brief introduction to transformation of random

variables

(e) Introduction to Gaussian random vectors

4. Mathematical Expectation (a) Definition of expectation

(b) Convergence theorem involving integrals

(c) Moments and conditional expectation

(d) Use of MGF, PGF and characteristic functions

(e) Special topics in probability theory

5. Stochastic Process (a) Definition of stochastic process and examples

(b) Stationarity of random process

(c) Auto-correlation, cross-correlation and its

properties

6. Markov Chains (a) Definition and the need for Markov chains

(b) Communication classes and its properties

(c) Stationary distribution and its existence

Page 86 of 126

(d) Poisson processes

(e) Special topics in stochastic process

viii Texts/References 1. Robert B. Ash, “Basic Probability Theory,” Reprint of

the John Wiley & Sons, Inc., New York, 1970 edition.

2. Krishna Jaganathan, “Lecture notes on Probability

Foundations for Electrical Engineers,” Link:

http://www.ee.iitm.ac.in/~krishnaj/ee5110notes.htm.

3. Andrey Kolmogorov, “Foundations of the theory of

probability,” Chelsea publishing company, New yourk,

1956.

4. Terence Tao, “Introduction to Measure Theory,”

American Mathematical Society, Vol. 126.

5. Bruce Hayek, “An Exploration of Random Processes

for Engineers,” Lecture notes. Link:

http://hajek.ece.illinois.edu/Papers/randomprocJuly14.pdf

. 2

6. Takis Konstantopoulos, “Introductory lecture notes on

Markov Chains and Random Walks,”

7. Sheldon Ross, “A first course in probability,” Pearson

Education India, 2002

ix Name(s) of Instructor(s) BBN



relevant

CSE, Physics




give details.

No


course

To introduce students to the graduate level

probability theory and stochastic process.


Level: UG

Programme: B. Tech

i Title of the course Signals and Systems




be offered

Autumn


Course

Full



number(s)

--

vii Course content Continuous-time and Discrete-time signal (and

system) classification and properties.

Impulse response, LTI / LSI system and properties;

Continuous-time and Discrete-time convolution.

Linear constant coefficient differential (and

difference) equations.

Continuous – time Fourier series and Continuous –

time Fourier Transform. Their Properties.

Discrete – time Fourier series and Discrete – time

Fourier Transform. Their Properties.

Sampling and Aliasing in time and frequency

Discrete Fourier Transform

Laplace Transform and its Properties.

Z-Transform and its Properties.

viii Texts/References 1. Signals and Systems, Authors: Alan V. Oppenheim,

Alan S. Willsky, Edition: 2, illustrated, Publisher

Pearson, 2013.

2. Signal Processing and Linear Systems, Author:

Bhagawandas P. Lathi, Edition: 2, illustrated, Publisher:

Oxford University Press, 2009.

3. Signals and Systems, Authors: Simon S Haykin, Barry

Van Veen, Edition: 2, illustrated, Publisher: Wiley,

2003. ix Name(s) of the Instructor(s) SRMP



course is relevant

CSE





No



This is one a fundamental course for Electrical and

Computer Science Engineering

13


Level: B.Tech.

Programme: B.Tech.

i Title of the course ME 207 Thermodynamics




offered


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


vii Course Content Thermodynamic Systems, properties & state, process

& cycle

Heat & Work: Definition of work and its

identification, work done at the moving boundary,

Zeroth law,

Properties of pure substance: Phase equilibrium,

independent properties, and equations of state,

compressibility factor, Tables of thermodynamic

properties& theiruse, Mollier Diagram

First law: First law for control mass & control volume

for a cycle as well as for a change of state, internal

energy & enthalpy, Specific heats; internal energy,

enthalpy & specific heat of ideal gases. SS process,

Transient processes.

Second Law of Thermodynamics: Reversible

process; heat engine, heat pump, refrigerator; Kelvin-

Planck & Clausius statements ,Carnot cycle for pure substance & ideal gas, Concept of entropy; the Need

of entropy definition of entropy; entropy of a pure

substance; entropy change of a reversible &

irreversible processes; principle of increase of entropy,

thermodynamic property relation, corollaries of

second law, Second law for control volume; SS &

Transient processes; Reversible SSSF process;

principle of increase of entropy, Understanding

efficiency.

Irreversibility and availability: Available energy,

reversible work & irreversibility for control mass and

control volume processes; second law efficiency.

Thermodynamic relations: Clapeyron equation,

Maxwell relations, Thermodynamic relation for

enthalpy, internal energy, and entropy, expansively

and compressibility factor, equation of state,

generalized chart for enthalpy.

Thermodynamic Cycles: Otto, Diesel, Duel and Joule

Third Law of Thermodynamics

14

viii Texts/References 1. Sonntag R., Claus B. & V. Wylen G, Fundamentals

of Thermodynamics, John Wiley, 2000.

2. G Rogers, YR Mayhew, Engineering

Thermodynamics Work and Heat Transfer, Pearson

2003

3. J.P Howell, P.O. Bulkins, Fundamentals of

Engineering Thermodynamics, McGraw Hill,1987

4. Y Cengal, M A Boles, Thermodynamics: An

Engineering Approach, Tata McGraw Hill, 2003.

5. Michael J. & H.N. Shapiro, Fundaments of

Engineering Thermodynamics, John Wiley, 2004.

ix Name(s) of Instructor(s) SSR



relevant




give details.

xii Justification/ Need for introducing the This is a fundamental and core course which is

course essential for appreciating the thermal and fluid

sciences and basics of all fluid and heat transfer.

Page 93 of 126


Level: PhD

Programme: PhD

i Title of the course VLSI Technology


iii Type of Course Core Course


offered

Autumn




--

vii Course Content Introduction on VLSI Design, Bipolar Junction

Transistor Fabrication, MOSFET Fabrication for IC,

Crystal Structure of Si, Defects in Crystal

Crystal growth techniques – Bridgeman, Czochralski

method, Floating-zone method

Epitaxy – Vapour phase Epitaxy, Doping during

Epitaxy, Molecular beam Epitaxy

Oxidation – Kinetics of Oxidation, Oxidation rate

constants, Dopant Redistribution, Oxide Charges

Doping – Theory of Diffusion, Infinite Source,

Actual Doping Profiles, Diffusion Systems, Ion-

Implantation Process, Annealing of Damages,

Masking during Implantation Lithography

Etching – Wet Chemical Etching, Dry Etching,

Plasma Etching Systems, Etching of Si, Sio2, SiN

and other materials, Plasma Deposition Process

Metallization – Problems in Aluminum Metal

contacts,

IC BJT – From junction isolation to LOCOS,

Problems in LOCOS, Trench isolation,

Transistors in ECL Circuits, MOSFET Metal gate vs.

Self-aligned Poly-gate, MOSFET II Tailoring of

Device Parameters, CMOS Technology, Latch - up

in CMOS, BICMOS Technology.

viii Texts/References 1. NPTEL Lectures by Prof. Nandita Dasgupta, Electrical

Engineering, IIT Madras

2. VLSI Fabrication Principles by S. K. Ghandhi

3. VLSI Technology by S. M. Sze

4. Silicon VLSI Technology by J.D. Plummer, M. Deal

and P.D. Griffin

ix Name(s) of Instructor(s) RG



relevant

NA


Page 94 of 126



give details.


course

VLSI is the process of integrating millions of

components (transistors, resistors etc.) in a single

small chip. This course introduces different concepts

related to the processes and steps involved in

fabrication of electronic devices and integrated

circuits. This course develops an understanding of

the limitations and strength of different fabrication

techniques which in turn affect the device

performances

Documents

Syllabi - IIT Dharwad · 2020. 12. 22. · Syllabi Name of Academic Unit: Electrical Engineering Level: B. Tech./MS Programme: MS/Ph.D. i Title of the course Linear Algebra and its