2018 Batch VI Sem EE

S.NO Course Code Course Name Instructor No of Credits
1 CH 301 Environmental Studies Prof. B L Tembe 6
2 Elective II 6
3 Elective III 6
4 Elective VI 6
5 Elective V 6
Level: UG
ii Credit Structure (L-T-P-C) (3-0-0-6)
iii Type of Course core
iv Semester in which normally to be offered Spring
v Whether Full or Half Semester Course Full
vi Pre-requisite(s), if any (For the
students) – specify course number(s)
Biodiversity and its conservation: Natural resources
and ecosystems, Forest, grassland, desert and aquatic
ecosystems, biodiversity at global, national and local
levels, conservation of biodiversity
Module B: Air Pollution
Air Pollutants – Gaseous and particulate, Criteria for
pollutants, ambient and source standards, Aerosols:
Characterisation of aerosols, size distributions,
measurement methods; Transport behaviour:
diffusion, sedimentation, inertia; Visibility;
Module C: Water Treatment
introduction to the design and operation of water and
wastewater treatment processes.
Change
management. Climate change and greenhouse gas
emissions, technologies would reduce the greenhouse
gas emissions. Climate change and its possible
causes.
Debates over environmental issues
dynamics, Energy derivatives, Energy Efficiency;
Sustainable Development: Concept, Measurement &
Strategies, Interaction between Economic
Development and the Environment
ecology, Religion and attitude towards environmental
ethics, Ecofeminism and its evolution.
Module H: Field work and project: visit to a local area
to document environmental assets, case studies of a
simple ecosystem and group discussions on current
environmental issues.
Principles of Environmental Science, Tata McGraw-
Hill Publishing Company, New Delhi.
2) Dasgupta, P. and Maler, G. (eds.), (1997), The
Environment and Emerging Development Issues,
Vol. I, Oxford University Press, New Delhi.
3) Jackson, A.R.W. and Jackson, J.M. (1996),
Environmental Sciences: The Environment and
Human Impact, Longman Publishers.
Technology, Prentice Hall of India, New Delhi.
5) Redclift, M. and Woodgate, G. (eds.), (1997),
International Handbook of Environmental Sociology.
6)Srivastava, K.P. (2002), An Introduction to
Environmental Study, Kalyani Publishers, Ludhiana.
7) Review articles from literature
ix Name(s) of Instructor(s) BLT
x Name(s) of other Departments/
Academic Units to whom the course is
relevant
other academic unit(s) which is/ are
equivalent to this course? If so, please
give details.
course
S.No
Course
2 PH 403 Classical Mechanics Prof. D. Narasimha 6
3 HS 404 Applied Ethics Prof. Jolly Thomas 6
4 HS 406 Introduction to Game Theory Prof. Gopal Parashari 6
5 MA 402
6 CS 408
Deep Learning Prof. S R M Prasanna 6
9 EE 409 Speech Processing Prof. S R M Prasanna 6
10 EE 428 Neural Networks and Deep Learning Lab Prof. S R M Prasanna 3
11 EE 414 Speech Processing lab Prof. S R M Prasanna 3
12 EE 404
13 EE 406 VLSI Technology Prof. Ruma Ghosh 6
14 EE 202 Analog circuits Prof. Naveen K 6
15 EE 426
16 EE 304 Robotics
18 EE 434
Modeling And control
of Renewable energy
20 ME 426
21 ME 428
Refrigerator - Air Conditioning
22 ME 430 Heat Exchangers Prof. S V Prabhu 6
23 ME 306 Theory of Elasticity
Prof. Tejas P
24 ME 407 IC Engines Prof. Surya Prakash 6
25 ME 406
Name of Academic Unit: All
Level: UG
Programme: B.Tech.
i Title of the course CH 302 Sustainable energy and energy materials
ii Credit Structure (L-T-P-C) 3-0-0-6
iii Type of Course Elective
First year undergraduate chemistry course (CH101)
vii Course Content Fuel cells, catalysis for fuel cells and sustainable
chemical processes • Batteries • Solar photovoltaics
Wind power: practical aspects • Tidal power •
Inorganic, Organic and functional biomaterials as
energy materials
viii Texts/References
relevant
departments
give details.
course
demands. This course will shed light on various
methods which are currently under practice towards
generating sustainable energy and their detailed
mechanisms.
Level : B. Tech
Programme : B. Tech
iii Type of Course Theory
iv Semester in which normally
to be offered
Semester Course
the students) – specify
vii Course Content Mechanics of Particles – Dynamical systems, Phase space dynamics,
stability analysis; Variational Principle, Lagrange's Equations; The
Central Force Motions, Scattering; Rigid Body Dynamics – moment
of inertia tensor; Conservation laws and cyclic coordinates;
Hamilton's Equation of Motion; Canonical Transformations;
Hamilton Jacobi Theory; Classical Perturbation Theory – periodic
motion, small oscillation, normal modes; Special theory of relativity-
Lorentz transformations, relativistic kinematics and mass–energy
equivalence; Optional: Chaos, Hamilton Jacobi Bellman Equation,
Lyapunov function
viii Texts/References 1. Classical Mechanics: H. Goldstein, C. P. Poole, and J. Safko,
Pearson 2011
2. Classical Mechanics: P. S. Jog and N. C. Rana, McGraw Hill,
2017
University Press, 2008.
4. Mechanics: L.D. Landau and E. M. Lifshitz, Butterworth- Heinemann, 3rd edition, 1982.
ix Name(s) of Instructor(s) Professor D. Narasimha, Department of Physics
x Name(s) of other
relevant
No.
same/ other academic unit(s)
No
Classical Mechanics is a mature field in Science describing the
motion of macroscopic objects. Consequently, most of the proposed
topics will be useful for Mechanical Engineers. The course
introduces topics like Lagrangian, Hamiltonian Formulation, Hamilton Jacobi Bellman equation, Lyapunov function which would
provide powerful techniques very useful in Control theory and other
topics relevant to Electrical & Computer Engineers.
Applied Ethics
Credit Structure (L-T-P-C) (3-0-0-6)
Semester in which normally to be
offered
Spring
Course
Full
--
Course Content Normative Ethics consists of fundamental theories of morality. The central question in Normative Ethics is the following. What is the standard/norm to decide the rightness or wrongness of an action? Or what gives an act a moral worth? The following are the main approaches to such questions.
a. Consequentialist Theories
c. Virtue Ethical Theories
Using the theoretical frameworks in Normative Ethics, some actual ethical
issues are studied. Thus, we have some issues or problems in Applied Ethics.
Under Applied Ethics, the following topics will be covered.
Business ethics, institutional ethics, ethics of the media, issues of medical
ethics and environmental ethics.
Texts/References 1.MacKinnon, Barbara, and Andrew Fiala. 2015. Ethics Theory and
Contemporary Issues. CT: Cengage Learning, Stamford, USA
2.Sher, George (ed.) 2012. Ethics: Essential Readings in Moral
Theory.Routledge.New York.
3. Cohen, Andrew I, and Christopher Heath Wellman (eds.) 2005.
Contemporary Debates in Applied Ethics. Blackwell Publishing, Oxford,
UK.
4. Frey R. G, and Christopher Heath Wellman (eds) 2005. A Companion to
Applied Ethics. Wiley-Blackwell, Oxford, UK.
5. Peter, Singer (Ed.).1986. Applied Ethics, OUP, UK.
Name(s) of Instructor(s) Prof. Jolly Thomas
Name(s) of other Departments/
is relevant
same/ other academic unit(s) which
is/ are equivalent to this course? If
so, please give details.
the course
The main objective is to look at some of the actual ethical issues and see how
one can make philosophical arguments regarding such issues. Such
philosophical arguments would be stronger or would have more clarity if one
can distinguish between normative ethical concerns from applied ethical
concerns. In other words, to be able to critically think and examine any actual
problem mentioned in the applied ethics, primarily one should be able to
distinguish the normative ethical concerns from applied ethical concerns.
Thus, the objective is to see various approaches in normative ethics. After
that, analyze the problems in applied ethics.
4
iii Type of Course Elective course
iv Semester in which normally
to be offered Spring/Autumn
Semester Course Full
the students) – specify
vii Course Content* Definition of games, normal form and strategies, Best response, dominance, Nash equilibrium, Iterated elimination of dominated strategies, Mixed strategies.
Applications: oligopoly, tariffs, crime, conflict, voting and auctions.
Bayesian games and applications. Extensive form games, backward
induction and sub game perfect equilibrium and applications. Perfect
Bayesian equilibrium. Repeated games. Bargaining games and applications.
Viii Texts/References 1. An Introduction to Game Theory by M. O. Osborne, Indian ed. (2012), Oxford UniversityPress.
2. Game Theory by Drew Fudenberg& Jean Tirole, MIT
Press(1991) 3.Strategy: An Introduction to Game Theory by Joel
Watson, 2nded.(2013), VivaBooks.
relevant
NA
unit(s) which is/ are
introducing the course
This course provides basic to intermediate level of essential concepts in
applied game theory. Game theory issued to model strategic interactions
and finds its use in computer science, economics, politics,
electrical and electronics engineering, biology etc.
Name of Academic Unit: Mathematics
Level: Undergraduate
Programme: B.Tech. 1 Title of the course Discrete Mathematics: Combinatorics and codes
2 Credit Structure (L-T-P-C) L: 3 T: 0 P: 0 C: 6
3 Mention academic programme(s)
course
Elective
offered
option(s)
course
option
inequality, symmetric designs, examples, Bruck-Ryser
Chowla theorem, projective spaces and projective planes Strongly regular graphs: Bose-Mesner algebra, Krein
condition, integrality conditions
Permanents: Bounds on permanents, permanents of
doubly stochastic matrices
tableaux and hook formula
polynomial; Hamming codes, Macwilliams identity,
codes and symmetric designs
7 Texts/References 1) Van Lint and Wilson: A course in combinatorics,
Cambridge University Press, UK, 2001 2) P.J. Cameron and Van Lint, Graphs, Codes and
Designs, LMS lecture notes, Cambridge University Press,
UK, 2001 8 Name (s) of the instructor (s) N. S. N. Sastry
9 Name (s) of other departments /
Academic Units to whom the course
is relevant
about this course that would
facilitate automated course
recommendation and course
syllabus content)
algebraic codes Mac Williams identity, Jacobi triple
product identity
the course
science and technology. The emphasis on its teaching and
research is rather recent (say since 1950's), and increasingly becoming important due to the
developments in computer science, information theory
and increasing sophistication in computer algorithms. An
introduction to some basic aspects of discrete mathematics, particularly finite mathematics,
emphasizing the algebra and geometry over finite fields,
basic counting techniques, finite combinatorial structures, will be useful for student particularly in computer science
and Information technology. Given the profusion of basic
elementary topics in discrete mathematics, several introductory courses may be suggested. Here is one
which includes some of its major topics.
Name of Academic Unit: Computer Science and Engineering
Level: B.Tech
Programme: B.Tech/M..S
vi Prerequisite(s), if any (For the students) – specify course number(s)
Multivariate Calculus and Linear Algebra, Probability, Programming
vii Course Content Bayesian Decision Making and Bayes
Classifier, Parametric and Non Parametric
Estimation of Densities, General Linear
Models, Discriminative Learning based
minimization, Ensemble Methods, Pattern
2.C.M.Bishop, Pattern Recognition and
Machine Learning, Springer, 2006.
relevant
EE
give details.
course
Level: B. Tech./MS
ii. Credit Structure L T P C
0 0 3 3
iv. Course Content
used, if necessary)
The lab will closely follow the theory course. The idea is to have the students
implement the basic algorithms on different topics studied in the statistical pattern
recognition theory course.
Wiley, 2001.
2006.
vii. Name of departments to
whom the course is
Engineering
viii Justification SPR Laboratory is important to reinforce different concepts that will be studied as part
of the theory course.
Level: PG/UG
Programme: B. Tech/MS/PhD
i. Title of the Course Neural Networks And Deep Learning (NNDL)
3 0 0 6
iii. Prerequisite, if any Exposure to basic concepts in calculus and probability
iv. Course Content
Introduction to Artificial Neural Networks (ANN) and Deep Learning (DL):
Motivation, basics of ANN, overview of PRML, evolution deep learning and
different architectures. Applications of ANN vs DL.
Feedforward Neural Networks (FFNN): Working principle, basic architecture,
analysis of FFNN for different PRML tasks.
Feedback Neural Networks (FBNN): Working principle, basic architecture,
Boltzmann machine, analysis of FFNN for different PRML tasks.
Competitive learning Neural Networks (CLNN): Working principle, basic
architecture, analysis of CLNN for different PRML tasks.
Deep Learning (DL) Architectures: Deep FFNN, Convolutional neural networks (CNN), Recurrent neural network (RNN), Longterm shortterm memory (LSTM),
Generative adversarial network (GAN), DL architectures with attention mechanism.
Some recent DL architectures.
Applications of DL: speech processing, image processing and other tasks.
v. Texts/References
1. B. Yegnanarayana, Artificial Neural Networks, PHI, 1999.
2. Ian Goodfellow, Yoshua Bengio, and Aaron Courville, Deep Learning, MIT
Press, 2016.
whom the course is
Engineering
viii Justification This course aims at providing an overview to the neural networks and deep learning
areas. NNDL being an application area of probability, pattern recognition and machine
learning, the same will be suitable for both electrical engineering and computer science
and engineering students. The course contents include introduction to review of key neural networks concepts, limitations of them, detailed study of mostly deep
architectures. Comparison of NN and DL architectures on different applications like
speech processing, image processing and NLP.
49
Level: PG/UG
ii Credit Structure (L-T-P-C) (3 0 0 6)
iv Semester in which
normally to be offered
Semester Course
of speech; short-term processing: need, approach, time,
frequency and time-frequency analysis.
Fourier representation, non-stationary signals,
STFT.
delta and mel-cepstrum, homomorphic signal processing,
real and complex cepstrum.
development, Levinson-Durbin’s method, normalized
error, LP spectrum, LP cepstrum, LP residual.
Sinusoidal analysis: Basis and development, phase
unwrapping, sinusoidal analysis and synthesis of speech.
Applications: Speech recognition, speaker recognition,
speech synthesis, language and dialect identification and
speech coding. Viii Texts/References 1. L.R. Rabiner and R.W. Schafer, Digital Processing
of Speech Signals Pearson Education, Delhi, India,
2004
2. J. R. Deller, Jr., J. H. L. Hansen and J. G. Proakis,
Discrete-Time Processing of Speech Signals, Wiley-
IEEE Press, NY, USA, 1999.
3. D. O’Shaughnessy, Speech Communications:
Human and Machine, Second Edition, University
Press, 2005.
signals”, Pearson Education, 2005.
5. L. R. Rabiner, B. H. Jhuang and B. Yegnanarayana,
“Fundamentals of speech recognition”, Pearson
Education, 2009.
is relevant
in the same/ other
academic unit(s) which is/
are equivalent to this
details.
No
This course aims at providing an overview to the speech
processing area. Speech processing being an application
area of probability, signal processing and pattern
recognition, the same will be suitable for both electrical
engineering and computer science and engineering
students. The course contents include introduction to
speech processing, speech signal processing methods like
short term Fourier transform, Cepstral analysis, linear
prediction analysis, sinusoidal analysis. Some of the
applications like speech recognition and speech synthesis
will also be taught.
Level: PG/UG
Level: PG/UG
0 0 3 3
iii. Prerequisite, if any Currently taking or already taken Speech Processing theory course
i. Title of the Course Neural Networks And Deep Learning (NNDL) Laboratory
0 0 3 3
iii. Prerequisite, if any Currently taking or already taken NNDL theory course
iv. Course Content
used, if necessary)
The lab will closely follow the theory course. The idea is to have the
students implement the basic algorithms on different topics studied in
the NNDL theory course.
necessary)
2. Ian Goodfellow, Yoshua Bengio, and Aaron Courville, Deep
Learning, MIT Press, 2016.
whom the course is
Mechanical Engineering
viii Justification NNDL Laboratory is important to reinforce different concepts that will
be studied as part of the theory course.
52
be used, if necessary)
The lab will closely follow the theory course. The idea is to have the students
implement the basic algorithms on different topics studied in the speech processing theory course.
v. Texts/References
1. L.R. Rabiner and R.W. Schafer, Digital Processing of Speech
Signals Pearson Education, Delhi, India, 2004 2. J. R. Deller, Jr., J. H. L. Hansen and J. G. Proakis, Discrete-Time
Processing of Speech Signals, Wiley-IEEE Press, NY, USA, 1999.
3. D. O’Shaughnessy, Speech Communications: Human and Machine, Second Edition, University Press, 2005.
4. T. F. Quatieri, “Discrete time processing of speech signals”,
Pearson Education, 2005. 5. L. R. Rabiner, B. H. Jhuang and B. Yegnanarayana,
“Fundamentals of speech recognition”, Pearson Education, 2009.
vi. Instructor (s) S. R. Mahadeva Prasanna
vii. Name of departments
relevant
Engineering
53
Level: B. Tech. / MS(R) / PhD
Programme: B.Tech. / MS(R) / PhD
iv Semester in which normally to be offered Autumn
Principles/Fundamentals of Communications
random processes, spectral analysis of deterministic
and random signals; review of digital modulation
schemes, optimal receiver design under additive
white Gaussian noise (AWGN) and error rate
performance; orthogonal frequency division
and diversity techniques in wireless communication;
multi-input multi-output (MIMO) systems and space
time block codes (STBC); cellular communication
systems, multiple-access and interference
“Fundamentals Of Wireless Communication,”
Cambridge University Press, 2005.
relevant
give details.
course
54
Level: PG/UG
1 Title of the Course VLSI Technology
2 Credit Structure L T P C
3 0 0 6 3 Type of Course Elective 4 Semester in which
normally to be offered Even
5 Whether Full or Half
Semester Course Full semester
6 Prerequisite, if any Exposure to Electronic Devices 7 Course Content
(separate sheet may be
Crystal Structure of Si, Defects in Crystal
Crystal growth techniques – Bridgeman, Czochralski
method, Floating-zone method
Molecular beam Epitaxy
Layer Characterization
Doping Profiles, Diffusion Systems, Ion-Implantation
Process, Annealing of Damages, Masking during
Implantation
Lithography
Etching Systems, Etching of Si, Sio2, SiN and other
materials,
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. 8 Texts/References
2. Silicon VLSI Technology by J.D. Plummer, M. Deal
and P.D. Griffin
3. VLSI Fabrication Principles by S. K. Gandhi 9 Instructor (s) Ruma Ghosh 10 Name of departments
to whom the course is
relevant
11 Justification 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
Level: B. Tech
Programme: B. Tech.
Analog Circuits
iv Semester in
Course
Full
vii Course Content* Review of Single stage amplifiers and differential
amplifier
compensation
Current and voltage references
amplifier and regulator circuits using NGSpice and
breadboard based experiments on current sources, log
amplifiers and voltage regulators using opamps and
discrete transistors.
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.
Circuit, 4th edition, Pearson, 2000.
4) P. Horowitz and W. Hill, The Art of Electronics, 2nd edition,
This is a elective course which introduces advanced topics in
analog circuits, amplifiers and their applications. This course
will give the basis for advanced courses in VLSI, and
microelectronics specializations.
Name of Academic Unit: Electrical Engineering Department
Level: Tick mark (or underline) only one of the these: UG Masters PhD
1 Title of the course Optimization Theory & Algorithm
course
EE (Elective)
offered
option(s)
course
option
Convex Sets
Convex functions
Convex Optimization problems
Duality and KKT Conditions
· Lagrange dual problem · Weak and strong duality and geometric interpretation · Optimality and KKT conditions · Perturbation and sensitivity analysis
Algorithms
59
Gradient descent and Newton’s method for unconstrained problems, Equality constrained minimization, Inequality
constrained minimization
7 Texts/References 1. Convex Optimization by Stephen Boyd and Lieven Vandenberghe, Cambridge University Press.
2. Convex Analysis by Rockafellar
8 Name (s) of the instructor (s) Rajshekhar V Bhat
9 Name (s) of other departments /
Academic Units to whom the
course is relevant
syllabus content)
KKT Conditions, Algorithms
the course
This course is one the most important ones for conducting research on wireless communications, machine learning and allied fields. The concepts taught in the course are very generic and they will be useful to a wide set of audience.
60
Level: UG
Programme: B.Tech.
iv Semester in which normally to be
offered
Spring
Course
Full
students) specify course
Mechanics
etc.
using PWM amplifiers, microcontrollers etc.
• Robot Mechanisms: Robot linkages and joints
• Planar Kinematics: Planar kinematics of serial link
mechanisms, Kinematics of Parallel Link
Mechanisms etc.
• Mechanics of Robots: Statics, Duality of differential
kinematics and statics, robot dynamics, non-
holonomic systems
• Concepts of Control: PID control, Hybrid position-
force control, compliance control, torque control
etc.
61
viii Texts/References 1. Asada, H., and J. J. Slotine. Robot Analysis and
Control. New York, NY: Wiley, 1986.
2. John J. Craig Introduction to Robotics: Mechanics
andControl, Addison-Wesley Publishing Company,
Modeling and Control, Wiley & Sons, 2005.
4. R. M. Murray, Z. Li, S. Sastry, A Mathematical
Introduction to Robotic Manipulation, CRC press,
1994.
course is relevant
same/ other academic unit(s)
No
Robotics are being used in the industries for more than
two decades now. With decreasing cost of Electronics,
computational resources, now a day's robots are being
used, now a day, by not only in industries, but also in
the fields of medicine, prosthesis, home assistance,
agriculture and so on. Even after the wide-spread use,
the challenges in the field of Robotics are far from over
and a wide range of problems demanding research in
this field are still open. Due to the blend of immediate
applications as well as scope of research, a course on
Robotics is useful for students who will join the
industries as well as those who wish to pursue research
in this field.
Level: B. Tech.
Programme: B. Tech.
Applications’
Importance of composites over other materials.
Revision of some mechanical properties.
• Reinforcements: Functions of reinforcements and
their forms,
Production and properties of carbon and aramid
fibers, Ceramic particulate and whisker
reinforcements.
properties
materials.
and chemical bonding.
polymeric matrices,
up, spray-up, pressure bag molding, vacuum bagging,
prepags, compression molding, autoclaving, RTM,
filament winding and pultrusion.
Manufacturing of MMCs: Solid state processes:
Diffusion bonding and P/M routes, Liquid state
processes: Melt-infiltration, stir casting, in-situ
processing, spray deposition and electrodeposition.
• Properties and applications of selected PMCs and
MMCs in industry.
applications.
Engineering’, 3rd Ed. Springer-Verlag, N.Y. (2012).
(2) F.L. Matthews and R.D. Rawlings, ’Composite
Materials: Engineering and Science’, CRC,
Woodhead Pub. Ltd., Cambridge, England (2008).
References:
Composites’ 2nd Ed, Springer, N.Y. (2013).
(2) ASM Handbook Vol.21: Composites, Eds. D.B.
Miracle and S. L. Donaldson ,
ASM International, Ohio (USA) (2001).
ix Name(s) of Instructor(s) ANT
relevant
Nil
give details.
course
students with -
matrices and composite materials.
reinforcements and matrix materials.
and interfacial bonding.
composites (PMC, MMC, &CMC).
application.
64
Level: B. Tech.
i Title of the course Introduction to Computational Fluid Dynamics
vi Pre-requisite(s), if any –
Programming
conservation equation; specific mass, momentum,
energy conservation equations.
iterative solvers for linear equations; PDE,
Classification, Basics of finite-difference, finite-
volume finite-volume methods; Notion of accuracy,
consistency, stability, convergence; Verification and
validation.
terms and non-linearity; 2-D steady conduction;
Unsteady conduction; Non-trivial boundary
diffusion equation; Upwinding, numerical diffusion,
higher-order schemes; 2-D advection-diffusion
algorithms.
Curvilinear grids; Unstructured grids; Advanced
linear solution methods such as multigrid methods,
preconditioning; Use of numerical libraries;
Introduction to parallel programming for CFD.
7. Mesoscopic approaches to discrete simulation of fluid
dynamics
code (e.g. OpenFOAM).
Pearson Education Ltd., 2007. (ISBN:
9780131274983)
Sharma; Wiley, 2016. (ISBN: 9781119002994)
ix Name(s) of Instructor(s) Dhiraj V Patil
x Name(s) of other Departments/ Academic Units to
whom the course is relevant
Departments of Mathematics,
Chemical, Civil, Physics
academic unit(s) which is/ are equivalent to this
course? If so, please give details.
NA
CFD is an integral part of the design process in
mechanical, aerospace, and chemical industries, as well as
a topic of active research. Training at the undergraduate
and early-postgraduate level will enable students to take
advantage of opportunities in these areas.
The course aims to provide an introduction to
discretization and solution of the equations of fluid
dynamics and heat transfer. Students will gain an
appreciation of the principles of the finite-volume method,
experience in writing and debugging scientific codes, and
solving and analysing a problem using a commercial/open-
source package. Students should expect to devote
significant time to learning via coding assignments and
project.
66
Level: UG
iv Semester in which normally to
be offered
Course
Full
specify course number(s)
vii Course Content Introduction: Review of the laws and concepts of
thermodynamics, coefficient of performance, heat transfer, history
of refrigeration, evolution of various refrigeration systems and
working fluids, broad classification of refrigeration systems and
motivation for high efficiency cooling systems (2 hr)
Refrigeration cycles and techniques: Reversed-Carnot cycle,
reversed-Brayton cycle, simple and actual vapour compression
cycles, aircraft refrigeration cycle, effect of design and operating
parameters, multi-pressure systems, vapour absorption cycles and
other methods such as evaporative and thermoelectric cooling,
vortex tube. (5 hr)
component selection and balancing, lubrication, solubity of
refrigerants, operating and safety controls, sensing and actuating
elements (7 hr)
absorption systems (6 hr)
psychrometric processes, comfort conditions, factors affecting
comfort, humidifiers and dehumidifiers, duct and air-handling
systems (6 hr)
air-conditioning and classification of air-conditioning systems,
winter and summer air conditioning systems, domestic split and
window air-conditioners, central air-conditioning systems, room
sensible heat factor
Estimation of cooling load: sensible and latent heat gains, heat gains
from various sources (10 hr)
Applications of refrigeration and air-conditioning: Description of thermodynamic principles and components of
specific systems such as domestic refrigerator, industrial
refrigerator, ice manufacturing plant (4 hr)
67
Environmental impact of refrigeration, renewable energy-based
refrigeration, solar cooling (2 hr)
viii Texts/ References Textbook: C.P. Arora, Refrigeration and Air Conditioning,
McGraw Hill Edu.; 3rd Ed., 2017.
References: 1. G.F. Hundy, A.R. Trott, T.C. Welch, Refrigeration,
Air conditioning and Heat pumps, 5th ed., Elsevier, 2016, 2. RJ.
Dossat, Principles of Refrigeration, John Wiley & Sons, Inc., 5th
ed., 2001, 3. P.N. Ananthanarayana, Basic Refrigeration and
Airconditioning, McGraw-Hill Edu, 3rd ed., 2005. 4. ASHRAE
Handbook - Fundamentals (SI), 2017, 5. ASHRAE Handbook -
Heating, Ventilating, and Air-Conditioning APPLICATIONS (SI),
2015, 6. A.A.M. Sayigh J.C. McVeigh (eds.), Solar Air
Conditioning and Refrigeration, Pergamon, 1992. 7. R.S. Khurmi,
J.K. Gupta, A Textbook of Refrigeration and Air-conditioning, S
Chand, 5th Ed., 2018.
x
course is relevant
the same/ other academic
to this course? If so, please give
details.
No
portion of the energy demands in present-day society. The situation
will be aggravated in the future due to the increasing demand of
cooling requirements with the declining of conventional energy
sources. This demans design of high-efficiency cooling devices
with improved or novel thermodynamic cycles and devices. The
course primarily focuses on the methods employed in conventional
68
necessary domain knowledge and analytical skills for a student to
work in areas of design and analysis of cooling systems. In terms
of the academic pedagogy, being an applied course, its contents
provide a context for the concepts and principles encountered in
basic courses such as thermodynamics, fluid mechanics and heat
transfer.
69
Name of Academic Unit: Mechanical Engineering Department
Level: Tick mark (or underline) only one of the these: UG Masters PhD
1 Title of the course Design of Heat Exchangers
course
Mechanical Engineering (Elective)
offered
option(s)
course
option
Full Semester Half Semester
6 Course content Classification of heat exchangers, Basic design methods of
heat exchangers
Single phase heat exchangers: Forced Convection
Correlations for the Single-Phase Side of Heat Exchangers, Design of double pipe heat exchangers, shell
and tube heat exchangers, compact heat exchangers
Fundamentals of two phase flow, Essentials for the design of two phase heat exchangers, Design Correlations for
Condensers and Evaporators, Design of evaporators and
condensers
7 Texts/References 1. Ramesh K. Shah, Dusan P. Sekulic, Fundamentals of Heat Exchanger Design, John Wiley and Sons, USA,
2003, ISBN:9780471321712, First Edition
Rating, and Thermal Design, CRC Press, 2020, ISBN
9781138601864, Fourth Edition 3. W.M. Kays and A.L. London, Compact heat
exchangers, McGrawhill Book Company, 1984,
ISBN: 9780070334182, Third Edition
and Sons, 1989, ISBN: 978-0-471-62868-2. Second
Edition 8 Name (s) of the instructor (s) S.V.Prabhu, Sudheer S, Dhiraj S. Patil
70
is relevant
12 Recommended Pre-requisite(s) -
specify course number(s)
13 Mention 8 to 12 keywords/phrases
syllabus content)
14 Justification/ Need for introducing
the course
Thermal design of the heat exchangers is essential as heat exchangers are extensively used in several practical
applications.
71
Level: PhD
Programme: PhD
iv Semester in which normally to be
offered
Autumn
vii Course Content Module-1: Analysis of Stress: Stress tensors.
Cauchy's stress principle, direction cosines, stress
components on an arbitrary plane with stress
transformation. Principal stresses in three
dimensions, stress invariants, Equilibrium equations,
Octahedral stresses, Mohr's stress circle, construction
of Mohr Circle for two and three dimensional stress
systems, equilibrium equations in polar coordinates
for two-dimensional state of stresses. General state
of stress in 3D in cylindrical coordinate System.,
Module-2: Analysis of Strain: types of strain, strain
tensors, strain transformation. Principal strains,
strain invariants, octahedral strains, Mohr's Circle for
Strain, equations of Compatibility for Strain
Module-3: Stress-strain relations: Stress-strain
stress components. Strain energy in an elastic body,
St. Venant's principle, Uniqueness theorem.
Module-4: Two dimensional problems in Cartesian
coordinate system: plane stress and plane strain
problems. Stress function, stress function for plane
stress and plane strain cases. Solution of two-
dimensional problems with different loading
conditions by the use of polynomials.
Module-5: Two dimensional problems in polar
coordinate system strain-displacement relations,
function and Biharmonic equation. Axisymmetric
problems, thick-walled cylinders, rotating disks of
uniform thickness, stress concentration, effect of
circular holes on stress distribution in plates
Module-6: Torsion of prismatic bars, general solution
of the torsion problem, stress function,
72
membrane analogy, torsion of thin walled and
multiple cell closed sections.
Circular Disk: Temperature Symmetrical about Centr,
Long Circular Cylinder.
viii Texts/References Texts
1.L. S. Srinath, Advanced Mechanics of Solids, 2nd Edition, TMH Publishing Co. Ltd., New Delhi, 2003
2.C.T. Wang, "Applied Elasticity", McGraw-Hill Book
Company, 1953.
1. Theory of Elasticity, S. P. Timoshenko, J. N. Goodier,
3rd Edition, McGraw Hill Publishing Co., 1970.
2. Elasticity: Theory, Applications, And Numerics, Martin H. Sadd, 3rd Edition, Academic Press, 2014.
3.Elasticity, J. R. Barber, 3rd edition, Springer, 2009.
4. Elasticity in Engineering Mechanics, Arthur P. Boresi, Ken Chong, James D. Lee, 2010, Wiley.
5. Applied Mechanics of Solids ,Allan F. Bower, 1st
Edition, 2009, CRC Press.
relevant
NA
give details.
course
investigates effect of external loads on deformable
bodies. Unlike mechanics of materials, TOE is more
rigorous as it relaxes many assumptions of mechanics
of materials. Thus, it paves way to analyze solids
beyond structural elements like beams, trusses and
shafts. This approach for generalization invokes more
rigor mathematically. In this course, we linearize
strains and stress-strain relation to attempt problems
from mechanics of materials in the new perspective
i.e. from TOE approach but not limited to it. Thus, it
aims to appreciate the need for experimental
mechanics techniques like Photoelasticity,
computational tools like FEM.
Level: B. Tech.
iv Semester in which normally to be offered Even
vi Pre-requisite(s), if any – specify course number(s)
vii Course
Reciprocating engine technology: 2-stroke, 4-stroke, Pistons, connecting rods and crankshaft, Valve
train, camshaft and timing gear, Engine block, cylinder and head geometry, Manifold, surface finish, track length, Fuel systems, carburettors, fuel injection, Turbo- and super-charger, Ignition, timing and
spark advance (4 hr)
Recall of thermodynamics - Definition and comparison of common internal combustion cycles, Otto
cycle, Diesel cycle, Dual cycle, Atkinson cycle (6 hr)
Fuel-air systems: Fuel Delivery Systems - Fuel delivery, The problem of part throttle operation, Air intake systems, Intake manifold design and tuning, Turbo-charging, Super-charging, Fuel management
and control theory, Fuel injection, ECU operation, Sensors and instrumentation (6 hr)
Valve train and timing: Operation, Arrangement -- Push-rod; Single overhead cam shaft (SOHC)
design; Dual-overhead cam shaft (DOHC) design, Camshaft function and design considerations, Valve timing, Valve-train design considerations; Component and Event Timing - Valve actuation timing,
Valve timing diagram, Spark ignition event and timing, Compression ignition injection event and timing
(6 hr)
Thermodynamic efficiencies, Ignition requirements, Combustion chamber and head design (6 hr)
Ignition - Common ignition sources, Combustion abnormalities, Spark plug design considerations,
Ignition timing; (6 hr)
variable camshaft timing (VCT) (4 hr)
viii Texts/
1. Internal Combustion Engines – V Ganesan
2. Fundamentals of Internal Combustion Engines -- Gill P W., J H. Smith, E J. Ziury
3. Internal Combustion Engine Fundamentals – John B Heywood
4. IC Engines: Combustion and Emissions – B. P. Pundir
ix Name(s) of Instructor(s) Surya Prakash R.
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. NA
xii Justification/ Need
for introducing the
course
Transportation is the basic need for humanity – IC Engines are the prime movers in today’s
world. A mechanical engineer has to have the knowledge of this subject to be relevant to the
industry, especially the automobile sector.
74
Level: B. Tech/MTech.
ii Credit Structure (L-T-
vi Pre-requisite(s), if any – specify course
number(s)
e
Conte
nt
FEM formulation for time dependent problems (16 hours) - Transient heat transfer problems - Structural dynamics problem
- Explicit and Implicit methods of solutions
- stability, accuracy and convergence study of solution methods
Introduction to reduced order modelling technique: (6 hours) - Introduction to reduced order modeling - Methods of reduced order modeling
o Static condensation, o mode superposition, o component mode synthesis, o Krylov subspace technique.
Nonlinear Finite Element Method (18 hours) - Introduction to Nonlinear FEM - FEM for geometric nonlinearity and forcing nonlinearity, - FEM for elastic-plastic analysis
o Strain hardening model o Kinematic hardening model
- Methods to solve nonlinear problems o Newton Raphson method o Secant method o Continuation method
- Convergence of nonlinear solutions o Force convergence o Displacement convergence
viii Texts/
n ces
1. J.N. Reddy, Introduction to Finite Element Method, Tata McGraw-Hill, 2006 2. J. N. Reddy, An Introduction to Nonlinear Finite Element Analysis, Oxford
University Press, 2004. 3. K. J. Bathe, Finite Element Procedures, PHI Learning Pvt. Ltd., 1996
4. T. J. R. Hughes, The Finite Element Method: Linear Static and Dynamic Finite
Element Analysis, Dover Publications, 2000
5. Zu-Qing Qu, Model Order Reduction Techniques with Applications in Finite
Element Analysis, Springer, 2004
x Name(s) of other Departments/ Academic Units to
whom the course is relevant
Mechanical Engineering, Electrical
academic unit(s) which is/ are equivalent to this
course? If so, please give details.
No
75
course
This course is an extension to the introduction to finite element course. A
student will get exposure to the advance topics in FEM such as nonlinear
FEM, plate theory, dynamic problems, etc which will be helpful for finite
element problems in industry and research.
76
Level : B.Tech
Programme : B.Tech
ii Credit Structure (L-
iv Semester in which
vii Course Content* Introduction: Revision of probability theory, revision
of basic digital communications, motivation to
information theory through examples from basic
statistics and communications.
information theory: Entropy and mutual information,
Chain rules and inequalities, Data processing, Fano's
inequality, Asymptotic equipartition property.
Source coding problem, Kraft’s inequality, Optimal
code length and Huffman code, Shannon-Fano-Elias
and arithmetic codes.
testing, estimation theory, and its connection to
information theory.
Hamming codes and its properties.
Continuous channel case: Differential entropy,
Gaussian channel, and its capacity, sphere packing
argument, High-level introduction to Quantization
theory.
77
Computation, Kolmogorov Complexity and entropy,
Universal Gambling, MDLP.
viii Texts/References 1. T. Cover, and J. Thomas, “Elements of Information
Theory,” Second Edition. Wiley-Interscience, 2006.
2. David J. C. Mckay, “Information theory, Inference,
and Learning Algorithms,” Cambridge university
press, 2003.
and computer science fields in particular, and statistics in
general. In the recent times, it has been used as tools in
machine learning theory. The course aims to develop these
tools in a general context with historical motivation to the
subject.
78
Level: B. Tech./MS
Programme: MS/Ph.D.
i Title of the course Modeling and Control of Renewable Energy Resources
vi Pre-requisite(s), if any (For the students) – specify course number(s)
Exposure to Power System Analysis, Electrical Machines, Power Electronics
vii Course Content Microgrids and distributed generation;
Introduction to renewable energy
technologies; electrical systems and
systems, diesel generators, combined heat
cycle plants, inverter based generation, solar
PV based systems, fuel cell and aqua-
electrolyzer, battery and flywheel based
storage system; Voltage and frequency
control in a microgrid; Grid connection
interface issues.
Cartwright and Hughes, WIND ENERGY
GENERATION Modelling and Control”
Wiley, 1st Edison, 2009.
2017.
Efficient Electric Power Systems, Wiley
Interscience, 1st Edison, 2004.
ix Name(s) of Instructor(s)
Academic Units to whom the course is relevant
None
equivalent to this course?
course

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2018 Batch VI Sem EE