ME Electronics Engineering Sem I to IV CBCS_1 Syllabus Mumbai University

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Copy to : -
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They are requested to treat this as action taken report on the concerned
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for information.

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AC – 01/11/2023
Item No. – 6.16(R)





University of Mumbai








Revised Syllabus for
M. E. (Electronics Engineering )
Semester – I to IV
(Choice Based Credit System)


REV- 2019 ‘C’ Scheme



(With effect from the academic year 2022 -23)






2022

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2022

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Preamble

To meet the challenge of ensuring excellence in engineering education, the issue of quality needs to be
addressed , debated and taken forward in a systematic manner. Accreditation is the principal means of quality
assurance in higher education. The major emphasis of accreditation process is to measure the outcomes of the
program that is being accredited. In line with this Faculty of Science and Technology (in particular Engineering)of
University of Mumbai has taken a lead in incorporating philosophy of outcome based education in the process of
curriculum development.
Faculty resolved that course objectives and course o utcomes are to be clearly defined for each course, so
that all faculty members in affiliated institutes understand the depth and approach of course to be taught, which will
enhance learner’s learning process. Choice based Credit and grading system enables a much -required shift in focus
from teacher -centric to learner -centric education since the workload estimated is based on the investment of time
in learning and not in teaching. It also focuses on continuous evaluation which will enhance the quality of edu cation.
Credit assignment for courses is based on 15 weeks teaching learning process, however content of courses is to be
taught in 12 -13 weeks and remaining 2 -3 weeks to be utilized for revision, guest lectures, coverage of content
beyond syllabus etc. There was a concern that the earlier revised curriculum more focused on providing information
and knowledge across various domains of the said program, which led to heavily loading of students in terms of
direct contact hours. In this regard, faculty of scie nce and technology resolved that to minimize the burden of
contact hours, total credits of entire program will be of 170, wherein focus is not only on providing knowledge but
also on building skills, attitude and self -learning. Therefore in the present cur riculum skill based laboratories and
mini projects are made mandatory across all disciplines of engineering in second and third year of programs, which
will definitely facilitate self -learning of students. The overall credits and approach of curriculum pro posed in the
present revision is in line with AICTE model curriculum.
The present curriculum will be implemented for M E (Electronics Engineering) course from the academic
year 202 2-23.

Signature:

Signature:
R N Awale
Chairman, Board of Studies Faculty of Dean

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Incorporation and implementation of Online
Contents from NPTEL/ Swayam Platform


The curriculum revision is mainly focused on knowledge component, skill based activities and project
based activities. Self -learning opportunities are provided to learners. In the revision process this time in
particular Revised syllabus of ‘C ‘ scheme wherever possible additional resource links of platforms such
as NPTEL, Swayam are appropriately provided. In an earlier revision of curriculum in the year 2012 a nd
2016 in Revised scheme ‘A' and ‘B' respectively, efforts were made to use online contents more
appropriately as additional learning materials to enhance learning of students.
In the current revision based on the recommendation of AICTE model curricu lum overall credits are
reduced , to provide opportunity of self -learning to learner. Learners are now getting sufficient time for
self-learning either through online courses or additional projects for enhancing their knowledge and skill
sets.
The Principals/ HoD’s/ Faculties of all the institute are required to motivate and encourage learners to use
additional online resources available on platforms such as NPTEL/ Swayam. Learners can be advised to
take up online courses, on successful completion they are requ ired to submit certification for the same.
This will definitely help learners to facilitate their enhanced learning based on their interest.




Signature: Signature:



Chairman , Board of Studies Faculty of Dean

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Preface
Technical education in the country is undergoing a paradigm shift in current days. Think tank at national level are deliberat ing o n the issues,
which are of utmost importance and posed challenge to all the spheres of technical education. Eventually, impact of these dev elopments was
visible and as well adopted on bigger scale by almost all universities across the country. These are pr imarily an adoption of CBCS (Choice
base Credit System) and OBE (Outcome based Education) with student centric and learning centric approach. Education sector in the country,
as well, facing critical challenges, such as, the quality of graduates, employabi lity, basic skills, ability to take challenges, work ability in the
fields, adoption to the situation, leadership qualities, communication skills and ethical behaviour. On other hand, the aspir ants for admission
to engineering programs are on decline over the years. An overall admission status across the country is almost 50%; posing threat with more
than half the vacancies in various colleges and make their survival difficult. In light of these, an All India Council for Te chnical Education
(AICTE), the nat ional regulator, took initiatives and enforced certain policies for betterment, in timely manner. Few of them are highlighted
here, these are design of model curriculum for all prevailing streams, mandatory induction program for new entrants, introduc tion of skill
based and inter/cross discipline courses, mandatory industry internships, creation of digital contents, mandate for use of IC T in teaching
learning, virtual laboratory and so on.
To keep the pace with these developments in Technical education, it is mandatory for the Institutes & Universities to adopt these initiatives
in phased manner, either partially or in to -to. Hence, the ongoing curriculum revision process has a crucial role to play. The BoS of Electronics
Engineering under the faculty of Science & Technology, under the gamut of Mumbai University has initiated a step towards adop tion of these
initiatives. We , the members of Electronics Engineering Board of Studies of Mumbai University feel privileged to present the revised version
of M E (Electronics Engineering) curriculum to be implemented from academic year 202 2-23. Some of the highlights of the revision a re;
i. Curriculum has been framed with reduced credits and weekly contact hours, thereby providing free slots to the students to bra in
storm, debate, explore and apply the engineering principles. The leisure provided through this revision shall favour to incu lcate
innovation and research attitude amongst the students.
ii. New skill-based courses have been incorporated in curriculum keeping in view AICTE model curriculum.
iii. Skill based Lab courses have been introduced, which shall change the thought process and enhan ce the programming skills and
logical thinking of the students
iv. Mini -project with assigned credits shall provide an opportunity to work in a group, balancing the group dynamics, develop
leadership qualities, facilitate decision making and enhance problem so lving ability with focus towards socio -economic
development of the country. In addition, it shall be direct application of theoretical knowledge in practice, thereby, nurtur e learners
to become industry ready and enlighten students for Research, Innovation and Entrepreneurship thereby to nurture start -up
ecosystem with better means.
v. An usage of ICT through NPTEL/SWAYAM and other Digital initiatives of Govt. of India shall be encouraged, fac ilitating the
students for self -learning and achieve the Graduate At tribute (GA) specified by Nation al Board of accreditation (NBA) .
Thus, this revision of curriculum aimed at creating deep impact on the teaching learning methodology to be adopted by affilia ted Institutes,
thereby nurturing the student fraternity in multif aceted directions and create competent technical work force with legitimate skills. In times to
come, these graduates shall shoulder the responsibilities of proliferation of future technologies and support in a big way fo r 'Make in India'
initiative, a rea lity. In the process,
BoS, Electronics Engineering got whole hearted support from all stakeholders including faculty, Heads of department of affili ating institutes,
experts faculty who detailed out the course contents, alumni, industry experts and universi ty official providing all procedural support time to
time. We put on record their involvement and sincerely thank all for contribution and support extended for this noble cause.

Boards of Studies in Electronics Engineering
Sr. No. Name Designation Sr. No. Name Designation
1 Dr. R. N. Awale Chairman 5 Dr. Rajani Mangala Member
2 Dr. Jyothi Digge Member 6 Dr. Vikas Gupta Member
3 Dr. V. A. Vyawahare Member 7 Dr. D. J. Pete Member
4 Dr. Srija Unnikrishnan Member 8 Dr. Vivek Agarwal Member

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Program Structure for ME Electronics Engineering
UNIVERSITY OF MUMBAI
(With Effect from 2022 -2023 )

Semester - I


Course Code
Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ELXC1011 Advanced Digital
Communication 03 --- --- 03 --- --- 03
ELXC1012 Advanced
VLSI Design 03 --- --- 03 --- --- 03
ELXDLO - X Department Level
Optional Course -I 03 --- --- 03 --- --- 03
ELXDLO - X Department Level
Optional Course -II 03 --- --- 03 --- --- 03
ILO – X Institute Level
Optional Course -I 03 --- --- 03 --- --- 03

ELXL1011 Laboratory -I
Power Electronics
System Design
---
02
---
---
01
---
01
ELXL1012 Skill Based
Laboratory : (SB L) --- 04 --- --- 02 --- 02
TOTAL 15 06 --- 15 03 --- 18

Course Code
Course Name EXAMINATION SCHEME –SEMESTER I
THEORY MAXIMUM MARKS
IA ESE
(Marks) Exam
Duration(
Hours)
Test
I Test
II Avg. Term
Work Practical
/ Oral Total
ELXC1011 Advanced Digital
Communication 20 20 20 80 03 --- --- 100
ELXC1012 Advanced VLSI
Design 20 20 20 80 03 --- --- 100
ELXDLO – X Department Level
Optional Course -I 20 20 20 80 03 --- --- 100
ELXDLO – X Department Level
Optional Course -II 20 20 20 80 03 --- --- 100
ILO101X Institute Level
Optional Course -I 20 20 20 80 03 --- --- 100
ELXL1011 Laboratory -I Power
Electronics System
Design --- --- --- --- --- 25 25 50
ELXL1012 Skill Based
Laboratory: (SBL) --- --- --- --- --- 50 50 100
TOTAL 100 100 100 400 --- 75 75 650

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Course Code Department Level Optional Course -I (ELXDLO - X)

ELXDLO1011 Advanced Processor Architecture -I
ELXDLO1012 Next Generation Artificial Intelligence and Machine Learning
ELXDLO1013 Microelectronics Devices
ELXDLO1014 Advanced Digital Image Processing

Course Code Department Level Optional Course -II (ELXDLO - X)
ELXDLO1015 Power Electronics System Design
ELXDLO1016 Information and Communication Techniques (ICT)
ELXDLO1017 Internet of Everything

Course Code Institute Level Optional Course -I (ILO101X)
ILO1011 Product Life cycle Management
ILO1012 Reliability Engineering
ILO1013 Management Information System
ILO1014 Design of Experiments
ILO1015 Operation Research
ILO1016 Cyber Security and Laws
ILO1017 Disaster Management and Mitigation Measures
ILO1018 Energy Audit and Management

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Course
Code
Course Name Teaching Scheme Credits Assigned
Theory Practical
and Oral Tutorial Theory TW/Practical
and Oral Tutorial Total
ELXC1011 Advanced
Digital
Communication
03
--
--
03
--
--
03

Course Code Course Name Examination Scheme
Theory Marks
Term
Work Practical
and Oral Total Internal assessment End
Sem.
Exam Exam
duration
Hours Test
1 Test
2 Avg
ELXC101 1 Advanced Digital
Communication 20 20 20 80 3 -- -- 100



Course Pre -requisites: -

Digital Communication Course

Course Objectives: -

1. To understand the concepts of random processes in communication systems.
2. To comprehend the error correcting codes and fundamental limits of their performance
3. To analyze different equalization techniques for channels with ISI and AWGN
4. To understand signal diversity and explore MIMO systems
5. To study multichannel and multicarrie r systems

Course Outcomes: -

1. Ability to understand the nature of random processes and its statistical characteristics.
2. Ability to appreciate the importance of error correcting codes -Turbo and LDPC
3. Ability to analyze various equalizers and their use in communication systems.
4. Ability to identify the drawbacks of multipath systems and methods to overcome them.
5. Ability to understand and analyze multichannel and multicarrier systems.

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Module
No. Unit
No. Contents Hrs.
1 Review of Random Processes 06
1.1 Definition of random process
1.2 Specifying random process, Examples of discrete time and continuous time
random processes
1.3 Stationary random process .Time Averages of random processes
2 Error Control Coding 08
2.1 Concept of Convolutional codes and its representation, transfer function,
Convolutional Interleaving, Decoding of Convolutional codes (Viterbi
decoding), and their performance in communication systems.
2.2 Turbo codes: -concepts, log -likelihood algebra, product code.
2.3 Low-density Parity -check codes: -construction, minimum distance of LDPC
codes
3 Signaling over Band limited channel 08
3.1 Optimum receiver for channels with ISI and AWGN, Optimum maximum
likelihood receiver, discrete time model for a channel with ISI.
3.2 Linear Equalization: Peak distortion criteria, mean square error criterion ,
Performance characteristics of MSE equalizer. Decision feedback equalization:
Co-efficient optimization, performance characteristics of Decision feedback
equalizer.
4 Adaptive Equalizer 05
4.1 Adaptive linear Equalizer: -Zero forcing algorithm, LMS algorithm,
convergence properties of LMS algorithm.
4.2 Self recovering (Blind) equalization based on maximum likelihood criterion.
5 Signalling over fading channels 12
5.1 Channel model for Time variant multipath channels, classification of
multipath channels, Signal design for fading multipath channels. Performance
Improvement through signal diversity, Rake receiver and multipath diversity,
recombining techniques. .
5.2 MIMO systems - Basic considerations, Channel Models for Multiple antenna
system, signal transmission through slow fading frequency nonselective and
frequency selective MIMO Channels.
5.3 Multiple access techniques: TDMA, FDMA, CDMA, Multichannel Digital
Communication in AWGN Channels., OFDM modulation and demodulation
in an OFDM system, Spectral Characteristics of Multicarrier signals, Bit and
Power allocation in Multicarrier modulation, Peak to Average ratio in
multicarrier modulation.
Total 39

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Text Books:

1. Simon Haykin, “Digital Communication Systems”, Wiley 2014
2. Bernard Sklar, “Digital Communications: Fundamentals & Applications”, Pearson Education 2nd Ed.

Reference Books:

1. John Proakis & Masoud Salehi , “Digital Communication”, McGraw -Hill Education, 5th
Ed
2. Simon Haykin “Adaptive Filter Theory”, Prentice Hall Publication 4th Ed.


Internal Assessment (IA):

Two tests must be conducted which should cover at least 80% of syllabus. The average marks of both the
test will be considered as final IA marks

End Semester Examination:

1. Question paper will consist of 6 questions, each of 20 marks.
2. Total 4 questions need to be solved.
3. Question No.1 will be compulsory and based on entire syllabus wherein sub questions of 2 to 5
marks will be asked.
4. Remaining questions will be selected from all the modules

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Course Code Course
Name Teaching Scheme (Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ELXC1012 Advanced
VLSI
Design 03 --- --- 03 --- --- 03


Course Code
Course Name Examination Scheme
Theory Marks
Term
Work
Practical
Oral
Total Internal Assessment End Sem
Exam Test 1 Test 2 Avg
ELXC1012 Advanced
VLSI Design 20 20 20 80 --- --- --- 100


Course Pre -requisites: -

1. VLSI Design
2. IC Technology
3. Analog and Mixed Signal VLSI Design


Course Objectives: -

1. To make students understand &appreciate analytical approach for design of analog VLSI Design
2. To make students ready for design of coexistence of analog and digital circuit and the system level
issues

Course Outcomes: -

1. Tackle with the system level issues for mixed VLSI design
2. Explain working of certain basic analog building blocks
3. Design different data converters
4. Implement and comment on performance of Memory devices.
5. State the significance of PLL in mixed VLSI design.

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Module
No. Topics Hrs.

01 Analog and discrete -time signal processing 03
Mixed -Signal Layout Issues, Floor -planning, Power Supply and Grounding Issues,
Guard Rings

02 Analog integrated continuous -time and discrete -time filters 08
MOSFETs as switches, Speed considerations, Precision Considerations, Charge
injection cancellation, Unity gain buffer, Non -inverting amplifier and integrator, Analog
multipliers, Loop Filters, Switched Capacitor filter

03 Special -purpose CMOS circuits. 08
Schmitt trigger, Multi -vibrator Circuits, Ring oscillators, VCO , Voltage
Generators

04 Data Converters 08
Basics of Analog to digital converters (ADC) Basics of Digital to analog converters
(DAC) DACs Successive approximation ADCs Dual slope ADCs High -speed ADCs
(e.g. flash ADC, pipeline ADC and related architectures) High -resolution ADCs (e.g.
delta -sigma converters)

05 Memory 06
ROM, EPROM, F -N model, RAM Memory structure Array Design, sensing and
operation of memory cell.

06 Phase Lock Loop 06
Mixed -Signal layout Interconnects Phase locked loops Delay locked loops. Simple PLL,
Charge pump PLL, Non ideal effects in PLL, Delay locked loops and applications
of PLL in integrated circuits
TOTAL 39

Reference Books: -
1. CMOS mixed -signal circuit design by R. Jacob Baker, Wiley India, IEEE press, reprint 2008.
2. Design of analog CMOS integrated circuits by Behzad Razavi, McGraw -Hill, 2003.
3. CMOS circuit design, layout and simulation by R. Jacob Baker, Revised second edition, IEEE
press, 2008.
4. CMOS Integrated ADCs and DACs by Rudy V. dePlassche, Springer, Indian edition, 2005.
5. Electronic Filter Design Handbook by Arthur B. Williams, McGraw -Hill, 1981.
6. Design of analog filters by R. Schauman, Prentice -Hall 1990 (or newer additions)
7. An introduction to mixed -signal IC test and measurement by M. Burns et al., Oxford university
press, first Indian edition, 2008.

Research Publication: -
1. Lanny L. Lewy n, Trond Ytterda, Carsten Wulff, and Kenneth Martin, “Analog circuit
Design in Nanoscale Technologies”, Proceedings of the IEEE Vol.97, No.10, October
2009

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2. Chi-Sheng Lin, Bin -Da Liu, “A new successive approximation architecture for low -power
low-cost CMOS A/D converter,” IEEE Journal of Solid State Circuits, Vol.30, Issue. 1, Pages:
54-62, 2003.


Internal Assessment (IA):

Two tests must be conducted which should cover at least 80% of the syllabus . The average marks of both the test
will be considered as final IA marks

End Semester Examination:

1. Question paper will comprise 6 questions, each of 20 marks.
2. Total 4 questions need to be solved.
3. Question No.1 will be compulsory and based on entire syllabus wherein sub questions of 2 to 5 marks will
be asked.
4. Remaining questions will be selected from all the modules

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Course Code Course Name Teaching Scheme (Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total

ELXDLO1011 Advanced
Processor
Architectures -I
03
---
---
03
---
---
03



Course Code

Course Name Examination Scheme
Theory Marks
Term
Work
Practical
Oral
Total Internal Assessment End
Sem
Exam Test
1 Test
2 Average

ELXDLO1011 Advanced
Processor
Architectures -I
20
20
20
80
---
---
---
100



Module
No. Unit
No. Topics Hr



1 Performance Metrics 03
1.1 Processor performance equation
1.2 Energy and power within a microprocessor and power -reduction techniques
1.3 Designing for increasing performance of a Computer


2 X86 Protection Mechanism 08
2.1 Protected mode register set
2.2 Segmentation in protected mode, Segment Descriptors
2.3 Virtual memory management, Address Translation
2.4 Privilege levels, Protection rules, Descriptors
2.5 Multi -tasking and task switching mechanisms



3 Architectural Enhancements 08
3.1 CISC and RISC processors
3.2 Pipelined processors
3.3 Superscalar Architectures
3.4 Out-of-Order Execution Course Pre-requisites: -
1. Computer Organization
Course Objectives: -
1. To outline the various factors that contributes to processor performance.
2. To understand the hardware & software enhancements that lead to improved computing experience.
3. To elaborate on the importance of parallelism in processor systems.
4. To analyze issues that present constraints to increasing processor power.

Course Outcomes: -
1. Explain the protection mechanism employed in advanced processors.
2. Describe various enhancements in advanced processor architectures leading to high performance
3. Analyze the complexities in pipeline design
4. Describe issues dealing with parallelism in computing systems.

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3.5 VLIW processors


4 Case Study on the Pentium processor 08
4.1 Architecture
4.2 Register Organization
4.3 Instruction pairing, Split -line access mechanism
4.4 Branch Prediction logic
4.5 On-chip cache organizations, Write -Once policy, Cache coherence


5 Pipelining concepts 06
5.1 Pipeline performance
5.2 Arithmetic pipelines
5.3 Hazards, Detection logic and minimization techniques
5.4 Dynamic Instruction scheduling


6 Parallelism 06
6.1 Amdahl's law
6.2 Instruction -level parallelism (ILP), Thread -level parallelism (TLP)
6.3 Symmetric multi -processors(SMP),Multi -threading
6.4 Multi -processor Organizations, Multi -core processors (CMP)
6.5 Clusters, Non-Uniform memory access (NUMA), Graphic processing
units(GPU)

Reference Books: -
1. J.L. Hennessy, and D.A. Patterson, Computer Architecture: A quantitative approach,
Fifth Edition, Morgan Kaufman Publication,2012.
2. Walter A. Triebel, The 80386DX Microprocessor, Prentice -Hall International Editions.
3. William Stallings, Computer Organization and Architecture: designing
for Performance , Eighth Edition, Pearson Publications.
4. Don Anderson, Tom Sh anley, Pentium Processor System Architecture, Second Edition,
Mind shareInc.
5. M.R. Bhujade, Parallel Computing, Second Edition, New -Age International.
6. Daniel Tabak, Advanced Microprocessors, Second Edition, McGraw -Hill Publications.

Research Publications: -
1. M.D. Hill, Michael Marty, "Amdahl's Law in the Multi -core era", Computer, Volume 41, Issue 7,
2008, ISSN :0018 -9162 , Pgs.33 -38.
2. J. L. Hennessy, “VLSI Processor Architecture", IEEE Transactions on Computers , Volume C -33,
Issue:12 Pgs. 1221 -1246.
r

Internal Assessment (IA) :-
Two tests must be conducted which should cover at least 80% of syllabus. The average marks of two tests should be considered as
final IA marks
End Semester Examination: -
1. Question paper will comprise of 6 questions, each of 20marks.
2. Total 4 questions need to be solved.
3. Question No.1 will be compulsory and based on entire syllabus wherein sub-questions of 2 to 5marks will be asked.
4. Remaining questions shall be from all the modules.

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Course
Code
Course Name Teaching Scheme Credits Assigned

Theory Practical
and
Oral
Tutorial
Theory TW/Practical
and Oral
Tutorial
Total
ELXDLO
1012 Next Generation
Artificial
Intelligence and
Machine
Learning 03 -- -- 03 -- -- 03





Subject
Code


Subject Name Examination Scheme
Theory Marks

Term
Work

Practical
and Oral


Total Internal assessment
End
Sem.
Exam
Exam
duration
Hours
Test
1
Test
2 Avg of
Test 1
and
Test 2

ELXDLO
1012 Next Generation
Artificial Intelligence
and Machine
Learning 20 20 20 80 3 -- -- 100




Module
No. Unit
No. Contents Hrs.
1 Intelligent Agents 08
1.1 Agents and Environments, Good Behaviour: The Concept of Rationality
1.2 The Nature of Environments
1.3 The Structure of Agents Course Learning Objectives: This course will enable students to:

1. Demonstrate the fundamentals of Intelligent Agents
2. Illustrate the reasoning on Uncertain Knowledge
3. Explore the explanation -based learning in solving AI problems
4. Demonstrate the fundamentals of GDT
5. Illustrate the use of KNN
6. Analyze Recommender System
Course Outcomes: The student will be able to:
1. Demonstrate the fundamentals of Intelligent Agents
2. llustrate the reasoning on Uncertain Knowledge
3. Explore the explanation -based learning in solving AI problems
4. Apply effectively ML algorithms to solve real world problems.
5. Apply Instant based techniques and derive effectively learning rules to real world problems

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T1: Chapter 2, Chapter 5 (2.1 to 2.4, 5.1 to 5.6)
2 Uncertain knowledge and Reasoning 08
2.1 Quantifying Uncertainty, Acting under Uncertainty
2.2 Basic Probability Notation, Inference Using Full Joint Distributions
2.3 Independence, Bayes’Rule and Its Use the WumpusWorld Revisited
T1: Chapter 13
3 Perception 07
3.1 Image Formation, Early Image -Processing Operation
3.2 Object Recognition by Appearance, Reconstructing the 3DWorld.
3.3 Object Recognition from Structural Information, Using Vision
T1: Chapter 24
4 Advanced Machine Learning 08
4.1 Overview, Gradient Descent algorithm, Scikit -learn library for ML,
Advanced Regression models, Advanced ML algorithms, KNN,
ensemble methods.
4.2 Forecasting: Overview, components, moving average,
decomposing time series, auto- regressive Models.
4.3 CLUSTERING : Types of clustering, Partitioning methods of clustering (k-
means, k-medoids), hierarchical methods
T2: Chapter 6 (up to 6.5.4), T3: Chapter 13
5 Recommender System: 08
5.1 Datasets, Association rules, Collaborative filtering, User -based
similarity, item -based similarity, using surprise library, Matrix
factorization
5.2 Text Analytics: Overview, Sentiment Classification, Naïve Bayes model for
sentiment classification, using TF-IDF vectorizer, Challenges of text
analytics
T2: Chapter 9 and 10
Total 39



Text Books:

1. Artificial Intelligence, A Modern Approach, Stuart J. Russell and Peter Norvig, Third
Edition, Pearson, 2010
2. Tanveer Siddiqui, U.S. Tiwary, “Natural Language Processing and Information
Retrieval”, Oxford University Press, 2008.
3. Tom M. Mitchell, Machine Learning, McGraw -Hill Education, 2013
4. Machine Learning using Python, Manaranjan Pradhan, U Dinesh Kumar, Wiley 2019
T3.
5. Machine Learning, Anuradha Srinivasaraghavan, Vincy Joeph, Wiley 2019
.

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Reference Books:

1. An Introduction to Multi Agent Systems, Michael Wooldridge, Second Edition, John Wiley & Sons
2. Ethem Alpaydin, Introduction to Machine Learning, PHI Learning Pvt. Ltd, 2nd Ed., 2013
3. T. Hastie, R. Tibshirani, J. H. Friedman, The Elements of Statistical Learning, Springer, 1st edition,
2001
4. Machine Learning, Saikat Dutt, Subramanian Chandramouli, Amit Kumar Das, Pearson,2020

Internal Assessment (IA):

Two tests must be conducted which should cover at least 80% of syllabus. The average marks of both the
test will be considered as final IA marks

End Semester Examination:

1. Question paper will consist of 6 questions, each of 20 marks.
2. Total 4 questions need to be solved.
3. Question No.1 will be compulsory and based on entire syllabus wherein sub questions of 2 to 5
marks will be asked.
4. Remaining questions will be selected from all the modules

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Course Code Course Name Teaching Scheme (Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ELXDLO
1013 Microelectronics Devices 03 --- --- 03 --- --- 03



Course Code

Course Name Examination Scheme
Theory Marks

Term Work

Practical

Oral

Total Internal Assessment End
Sem Exam Test 1 Test 2 Average
ELXDLO
1013 Microelectronics
Devices 20 20 20 80 --- --- --- 100

Course Pre-requisite :-
 Electronic devices: Operation and Characteristics
Course Objectives: -
 To learn & apply basic concepts of semiconductor physics relevant to electronic devices
 To analyze & explain operation of semiconductor devices in terms of
their physical structure
 To estimate various device parameters & their measurement
 To describe & use the device & circuit models of semiconductor devices of
varying level of complexity

Course Outcomes: -
 Ability to apply & explain basic semiconductor concepts applicable to the devices
 Ability to describe the underlying physics & principles of operation of various devices
 Ability to create & apply linear incremental equivalent circuit models for BJT & MOSFET
 Ability to determine parameter values for large signal & incremental linear
equivalent circuit models for the p -n diodes, BJT & MOSFET based on
knowledge of device structure, dimensions & bias conditions

Module
No. Unit
No. Topics Hrs.


1 Basic Semiconductor Physics

08 1.1 Review of quantum mechanics,
1.2 Electrons in periodic lattices, Ek diagrams, Quasi -particles in semiconductors,
electrons, holes and phonons
1.3 Boltzmann transport equation and solution in the presence of low electric and
magnetic fields - mobility and diffusivity


2 Semiconductor Junction

08 2.1 p-n junction action, Abrupt junction, Linearly graded junction, Static IV
Characteristics of p-n junction, Electrical breakdown in p -n junctions
2.2 Dynamic behaviour of p -n junction diode

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2.3 Majority carrier diodes
2.4 Schottky, homo - and hetero -junction band diagrams and I-V characteristics

3 Modeling Bipolar Device Phenomena
05 3.1 Injection and Transport Model
3.2 Continuity Equation
3.3 Transistor Models: Ebers - Moll and Gummel Poon Model
3.4 SPICE modeling, temperature and area effects



4 MOSFET Modeling


08 4.1 Introduction, Inversion Layer,
4.2 Threshold Voltage
4.3 Gradual Channel Approximation, MOS Transistor Current
4.4 Temperature, Short channel and Narrow Width Effect
4.5 Characterization of MOS capacitors: HF and LF CVs
4.6 Models for Enhancement, Depletion Type MOSFET

5 Modeling of Hetero Junction Devices
06 5.1 Band gap Engineering
5.2 Band gap Offset at abrupt Hetero -junction
5.3 Modified current continuity equations
5.4 Hetero Junction bipolar transistors (HBTs), Si-Ge

6 Monte Carlo Particle Modeling of Semiconductor Devices
04 6.1 The Monte Carlo method
6.2 Application of Monte Carlo techniques to device modeling

Reference Books: -
1. M. S. Tyagi, “Introduction to Semiconductor Materials and Device”, John Wiley & sons, 1991
2. Ben G. Streetman & S. K. Bannerjee, ”Solid State Electronic Devices” 6th edition, Prentice Hall
3. Richard S. Muller & Theodore I. Kummins, “Device Electronics for Integrated Circuits”, John Wiley & Sons,
2nd edition (1986)
4. A. S. Grove, “Physics & Technology for Semiconductor Devices”, McGraw Hill, 3rd edition (2007)
5. Donald A. Neamen, “Semiconductor Devices & Physics”, McGraw Hill, 3rd edition (2007)
6. M. H. Rashid, “SPICE for Circuits & Electronics”, Prentice Hall (1995)
7. A. Vladimirescu, “The SPICE Book”, John Wiley & Sons, New York (1994)
Research Publications: -
1. Christopher M. Snowden, “Semiconductor Device Modeling” Rep. Prog. Phys. Vol. 48, pp. 223 -275
2. C. Moglestue, ‘Monte Carlo particle modeling of small semiconductor devices” Computer Methods in Applied
Mechanics & Engineering Vol. 30 (1982) pp. 173 -208; North – Holland Publishing

Internal Assessment (IA):
Two tests must be conducted which should cover at least 80% of the syllabus. The average marks of both the test will be
considered as final IA marks
End Semester Examination:
1. Question paper will comprise 6 questions, each of 20 marks.
2. Total 4 questions need to be solved.
3. Question No.1 will be compulsory and based on entire syllabus wherein sub questions of 2 to 5 marks will be asked.
4. Remaining questions will from all the modules

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Course Code
Course
Name Teaching Scheme Credits Assigned
Theory Practical
and Oral Tutorial Theory TW/Practical
and Oral Tutorial Total
ELXDLO
1014 Advanced
Digital
Image
Processing
03
--
--
03
--
--
03

Subject Code Subject
Name Examination Scheme
Theory Marks
Term
Work Practical
and Oral Total Internal assessment End
Sem.
Exam Exam
duration
Hours Test
1 Test
2 Avg
ELXDLO
1014 Advanced
Digital
Image
Processing 20 20 20 80 3 -- -- 100

Course Pre -requisite : Digital Image processing

Course Objectives :
1. To understand the image fundamentals and mathematical transforms necessary for image processing
and to study the image enhancement techniques.
2. To understand the image segmentation and representation techniques.
3. To understand how image are analyzed to extract features of interest.
4. To introduce the concepts of image registration and image fusion.
5. To analyze the constraints in image processing when dealing with 3D data sets .
Course Outcomes :
After successful completion of the course students will be able to:
1. Understand digital image processing fundamentals: hardware and software, digitization,
enhancement and restoration, encoding, segmentation, feature detection.
2. Explain spatial domain and frequency doma in techniques for digital image enhancement.
3. Perform segmentatio n and morphological operations.
4. Conduc t independent study and analysis of feature extraction techniques.
5. Understand the concepts of image registration and image fusion.
6. Analyze the constraints in image processing when dealing with 3D data sets and to apply image -
processing algorithms in practical applications.
Note : The action verbs according to Bloom's taxonomy are highlighted in bold.

Module
No. Unit
No. Contents Hrs.
1 FUNDAMENTALS OF DIGITAL IMAGE PROCESSING 06
1.1 Elements of visual perception, brightness, contrast, hue, saturation, mach band
effect, 2D image transforms -DFT, DCT, KLT, and SVD

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1.2 Image enhancement in spatial and frequency domain, Review of morphological
image processing
2 PRE -PROCESSING, SEGMENTATION AND MODELLING OF
IMAGES 06
2.1 Pre-processing of images - Histogram equalization Stochastic presentation of
images - Stationary and Non -stationary models - Gaussian - HMM - Edge and
texture models..
2.2 Edge detection, Thresholding, Region growing, Fuzzy clustering, Watershed
algorithm, Active contour methods, Texture feature based segmentation, Model
based segmentation, Atlas based segmentation, Wavelet based Segmentation
methods
3 FEATURE EXTRACTION 08
3.1
First and second order edge detection operators, Phase congruency, Localized
feature extraction -detecting image curvature, shape features Hough transform,
shape skeletonization, Boundary descriptors, Moments, Texture descriptors -
Autocorrelation, Co -occurr ence features, Runlength features, Fractal model
based features, Gabor filter, Wavelet features
4 REGISTRATION AND IMAGE FUSION 10
4.1 Registration - Pre-processing, Feature selection -points, lines, regions and
templates Feature correspondence -Point pattern matching, Line matching, region
matching Template matching
4.2 Transformation functions -Similarity transformation and Affine Transformation.
Resampling -Nearest Neighbour and Cubic Splines Image Fusion -Overview of
image fusion, pixel fusion, Multiresolution based fusion discrete wavelet
transform, Curvelet transform. R egion based fusion.
5 3D IMAGE VISUALIZATION 09
5.1 Sources of 3D Data sets, Slicing the Data set, Arbitrary section planes.
5.2 The use of color, Volumetric display, Stereo Viewing, Ray tracing, Reflection,
Surfaces, Multiply connected surfaces, Image processing in 3D, Measurements
on 3D images. .
Total 39

Text Books:
1. John C.Russ, “The Image Processing Handbook”, CRC Press, 2007.
2. Mark Nixon, Alberto Aguado, “Feature Extraction and Image Processing”, Academic Press, 2008.
3. Ardeshir Goshtasby, “2D and 3D Image registration for Medical, Remote Sensing and Industrial
Applications”, John Wiley and Sons, 2005.
Reference Books:
1. Rafael C. Gonzalez, Richard E. Woods, , Digital Image Processing', Pearson, Education, Inc., Second
Edition, 2004.
2. Anil K. Jain, Fundamentals of Digital Image Processing', Pearson Education, Inc., 2002.
3. Rick S. Blum, Zheng Liu,“ Multisensor image fusion and its Applications“, Taylor & Francis, 2006.

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Course
Code
Course
Name Teaching Scheme Credits Assigned
Theory Practical
and Oral Tutorial Theory TW/Practical
and Oral Tutorial Total

ELX DLO
1015 Power
Electronics
System
Design
03
--
--
03
--
--
03

Course
Code Course
Name Examination Scheme
Theory Marks
Term
Work Practical
and Oral Total Internal assessment End
Sem.
Exam Exam
duration
Hours Test
1 Test
2 Avg
ELX DLO
1015 Power
Electronics
System
Design 20 20 20 80 3 -- -- 100


Course Objectives:

1. To make the students understand and appreciate the analytical approach for design of power
electronic systems.
2. To make the students ready for research & development oriented jobs in academia and industry
by introducing recent research advancements in power electronic converters and their applications
in distributed generation and smart grids.

Course Outcomes:
After successful completion of the course students will be able to:
1. Understand power semiconductor device structures for adjustable speed motor control applications.
2. Apply the concepts of mathematical modelling and computer simulations to power electronic
systems.
3. Design the new topologies of DC -AC inverters like multi -level and 4 -leg inverters.
4. Interpret various issues involved in the parallel operation of inverters as a p art of distributed
generation system.
5. Select appropriate three phase AC voltage controllers depending on the application.
6. Analyze vital role played by power electronic converters in distributed generation and smart grids.

Note: The action verbs according to Bloom's taxonomy are highlighted in bold.

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Module
No. Unit
No. Contents Hrs.
1 Analysis of Power Devices 05
1.1 Power MOSFET, SCR, IGBT, selection criteria for switching devices
1.2 EMI-EMC issues, protection circuits: Anti saturation protection for IGBT and
power MOSFET, overload protection, thermal protection.
2 Simulation of Power Electronic Converters and Systems 6
2.1 Introduction to circuit oriented simulators like SPICE, MATLAB, SCILAB,
comparison of these simulators
2.2 Study of transformations from 3 -phase to stationary reference frame (Clarke
transform) and rotating reference frame, decoupled closed -loop control strategies
for converters based on these transformations.
3 Modelling and Control of Power Electronic Systems 08
3.1 Concept of zero -order hold (ZOH), first -order hold (FOH) and second -order
hold (SOH) elements, energy factor, models of AC -DC, DC -AC, AC -AC and
DC-DC converters as simple ZOH, FOH and SOH
3.2 PI control for AC -DC converters, PI control for DC -AC converters and AC -AC
(AC-DC-AC) converters, PID control for DC -DC converters, closed -loop
stability analysis.
4 Inverters (DC -AC Converters) 10
4.1 Multilevel inverters topologies and switching, introduction to 4 -leg inverters
(basic working without SVM techniques)
4.2 Study of inverter topologies: online, line -interactive, stand -by, methods of
parallel operation of inverters: droop, and master & slave control.
5 5.1 Three phase AC Voltage Controllers 4
Three -phase full wave controller with R, RL -load, Input power factor, static
switches.
6 Grid Interface of Renewable Energy Sources 6
6.1 Inverter interfacing control strategies for transferring wind and solar energy to
grid, synchronization with grid using phase -locked loop
6.2 Concept of distributed generation systems, micro grids, smart grids.
Total 39

Text Books:

1. Mohan, T. M. Undeland, W. P. Robbins, Power Electronics: Converters Application and Design,
John Wiley & Sons, USA, 2003.
2. M. H. Rashid, Power Electronics: Circuits, Devices, and Applications, Pearson Education India,
2009.
3. R. W. Erickson, D. Maksimovic, Fundamentals of Power Electronics, Springer USA, 2001.
4. F. L. Luo, H. Ye, M. H. Rashid, Digital Power Electronics and Applications, Elsevier Academic
Press, USA, 2005.
5. H. Akagi, E. H. Watanabe, M. Aredes, Instantaneous Power Theory and Applications to Power
Conditioning, IEEE Press/John Wiley & Sons Ltd., USA, 2007.
6. B. K. Bose, Modern power electronics and AC drives, Prentice Hall PTR, 2002.

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Reference Books / Research papers :

1. Q.-C. Zhong, T. Hornik, Control of Power Inverters in Renewable Energy And Smart G rid
Integration, IEEE Press/John Wiley & Sons, Ltd., USA, 2013.
2. J.-S. Lai and F. Z. Peng, Multilevel converters – A new breed of power converters, IEEE Transactions
on Industry Applications, vol. 32, no. 3, pp. 509 -517, May/Jun 1996.
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=502161&isnumber=10824
3. T. Kawabata and S. Higashino, Parallel operation of voltage source inverters, IEEE Transactions on
Industry Applications, vol. 24, no. 2, pp. 281 –287, 1988.
URL: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=2 868&url=http%3A%2F%2Fieeexplo
re.ieee.org%2Fiel1%2F28%2F164%2F00002868
4. W. C. Lee, T. K. Lee, S. H. Lee, K. H. Kim, D. S. Hyun, and I. Y. Suh, A master and slave control
strategy for parallel operation of three -phase UPS systems with different ratings, Proce edings of the
19th Annual IEEE Applied Power Electronics Conference & Exposition, (Anaheim, California,
USA), pp. 456 –462, Feb. 2004.
URL: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=1295848&url=http%3A%2F%2Fieee
xplore.ieee.org%2Fiel5%2F9082%2F28818%2F01295848.pdf%3Farnumber%3D1295848

Internal Assessment (IA):
Two tests must be conducted which should cover at least 80% of syllabus. The average marks of both the
tests will be considered as final IA marks .

End Semester Examination:
1. Question paper will consist of 6 questions, each of 20 marks.
2. Total 4 questions need to be solve d.
3. Question No.1 will be compulsory and based on entire syllabus wherein sub Questions of 2 to 5
marks will be asked.
4. Remaining questions will be selected from all the modules

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Course
Code
Course Name Teaching Scheme Credits Assigned
Theory Practical
and
Oral Tutorial Theory TW/Practical
and Oral Tutorial Total
ELX DLO
1016 Information
and
Communication
Techniques
(ICT)
03
--
--
03
--
--
03

Course
Code Course Name Examination Scheme
Theory Marks
Term
Work Practical
and Oral Total Internal assessment End
Sem.
Exam Exam
duration
Hours Test
1 Test
2 Avg
ELX DLO
1016 Information
and
Communication
Techniques
(ICT) 20 20 20 80 3 -- -- 100

Course Objectives :
1. To appreciate various theoretical and disciplinary perspectives towards deploying ICT system for
development of society.
2. To illustrate different ways by which information can be communicated.
3. To demonstrate an understanding for acquiring data securely for developing an ICT system.
4. To illustrate data storage techniques and formulate knowledge from the raw data.
5. To formulate policies and strategies for ICT system.
6. To design various application using ICT.
Course Outcomes:
At the end of the course student should be able to ;
1. To identify opportunities and challenges for developing ICT systems
2. To identify and access the ways by which information can be communicated.
3. To identify methods of capturing data securely for developing an ICT system.
4. To store and analyze the data captured and generate knowledge from the raw data.
5. To devise policies and strategies for ICT system.
6. To design various application using ICT.

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Sr.
No. Module Detailed Content Hours
0 Prerequisite Introduction to ICT
1 Introduction and
Basics of ICT Review of ICT history and growth,
importance of ICT in societal development identifying
opportunities for using ICT,
Learning from failures Drivers and barriers for ICT development ICT
in developing countries – opportunities for developments and
challenges Creating an ICT – handling text, data and media. 4
2
Communication
Techniques in
ICT Radio and TV Techniques,
Mobile Techniques – CDMA, Mobile wireless WiMAX, Advanced
wireless technologies, Bluetooth Satellite Techniques – architecture
AND working principles GPS/GPRS Cloud computing –
Introduction, cloud services, Cloud service providers, collaborative
techniques like sharing ideas through blogs, forums, online
communities etc safe transmission of data 9
3
Data acquisition
in ICT Recognition systems RFID, OMR
Location recognition Data acquisition process for MEMS devices
Sensors – Programming, communication with cloud.
Acquiring data from internet and social media. Formation of social
groups and interaction analysis Facebook, Twitter, Blogs, Forums,
mailing lists etc controlling access to confidential information 9
4
Data and
Knowledge
Management in
ICT Data storage and management, content management system,
identity management
Knowledge elicitation, Knowledge representation and visualization
techniques Knowledge Engineering Methodology Auditing
knowledge management Data storage and disposal of data Linking
knowledge management to business performance 8
5
Defining policies
for administering
ICT ICT policies and e-Strategies, approach to ICT policy formulation
and e-Strategy development, e-Readiness assessment, identifying
priority areas and developing action plans. National Policy on ICT
in India. 5

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6
ICT applications Study of ICT applications in various domains such as Agriculture,
Healthcare, Education, social studies, Finance, Law, life science. 4
Total 39

Text Books:

1. Lechman, E. (2015). ICT Diffusion in Developing Countries: Towards a New Concept of
Technological Takeoff. Germany: Springer International Publishing.
2. ffordability Issues Surrounding the Use of ICT for Development and Poverty Reduction. (2018).
United States: IGI Global.
3. Koh, S. C. L., Maguire, S. (2009). Information and Communication Technologies Management
in Turbulent Business Environments. United Kingdom: Information Science Reference.
4. The Development Dimension ICTs for Development: Improving Policy Coherence. (2010).
Ukraine: OECD Publishing.
5. Gorica, K., Kordha Tolica, E., Sevrani, K. (2015). Information Society Developme nt Through ICT
Market Strategies: Albania Versus Other Developing Countries. Germany: Spring er
International Publishing .
6. ICT Futures: Delivering Pervasive Real -time And Secure Services Edited By Paul Warren , John
Davies, David Brown , Wiley Publication.
7. ICT Policy Formulatio n and e-Strategy Development Strategy Development - A Comprehensive
Guidebook by Richard Labelle, Asia-Pacific Development Information Programme.

Online References:

1. BLI-224: ICT Fundamentals - https://onlinecourses.swayam2.ac.in/nou22_lb08/preview


Internal Assessment (IA):
Two tests must be conducted which should cover at least 80% of syllabus. The average marks of both th e
tests will be considered as final IA marks .

End Semester Examination:
1. Question paper will consist of 6 questions, each of 20 marks.
2. Total 4 questions need to be solved.
3. Question No.1 will be compulsory and based on entire syllabus wherein sub Questions of 2 to 5
marks will be asked.
4. Remaining questions will be selected from all the modules

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Course
Code
Course
Name Teaching Scheme Credits Assigned
Theory Practical
and Oral Tutorial Theory TW/Practical
and Oral Tutorial Total
ELX DLO
1017 Internet for
Everything 03 -- -- 03 -- -- 03

Course
Code Course
Name Examination Scheme
Theory Marks
Term
Work Practical
and Oral Total Internal assessment End
Sem.
Exam Exam
duration
Hours Test
1 Test
2 Avg
ELX DLO
1017 Internet for
Everything 20 20 20 80 3 -- -- 100

Course Objectives :

1. To describe the concepts of Objects in IOT, IOT Identifier, IOT Technologies.
2. To discuss and elaborate RFID architecture, RFID Tag and Reader along with the protocols used to
solve the RFID issues faced in RFID applications.
3. To describe the connecting and networking nodes in a secure communication with the help of protocols
such as MQTT, CoAP, and REST.
4. To explain Hadoop MapReduce and demonstrate its usage for real time batch data Analysis using
Apache Oozie , Apache Spark and Apache Storm.
5. To summarize the use of ML algorithms in IoT Based application in Healthcare and Smart
Transportation.
6. To elaborate and show how the analysis and the evaluation is carried out over the data received
through sensors in IOE to ensure security in IOE applications .

Course Outcomes:
At the end of the course student should be able to ;

1. Identify the Objects in IOT, list the IOT Identifiers and know the different technologies.
2. Explain RFID architecture, list the Components, identify RFID Tag and Reader along with the
protocols used to solve the RFID issues faced in RFID applications.
3. Design applications using the communication protocols such as MQTT, CoAP, and REST.
4. Use Hadoop MapReduce for real time batch data Analysis using Apache Oozie, Apache Spark and
Apache Storm.
5. Recall the ML algorithms used in IoT Based applications in Healthcare and Smart Transportation.
6. Analysis and evaluate the data received through sensors in IOE and Security in IOE applications .

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Sr.
No Module Detailed Contents Hours
0 Prerequisites IOT Lab, Sensor Lab, Wireless Network.
1. Introduction to
IOE Introduction and History of IOT, Objects in IOT IOT Identifier, IOT
Technologies
Self-Learning Topics: History of IOT, Compare IOT & IOE 5
2. Radio -
frequency
identification
(RFID)
Technology Introduction to RFID and Principles of RFID RFID Components and
RFID Tag and Reader RFID Transponder and RFID architecture RFID
Middleware
Protocols: Tree protocols, Tree splitting algorithms, Binary search
Algorithms
RFID Challenges and Applications

Self-Learning Topics: Binary search Algorithms 7
3. Wireless
Sensor
Networks Connecting and networking nodes, Securing communication,
standards, IP Addressing
Protocols - MQTT, CoAP, REST

Self-Learning Topics : Industrial WSN Standards 6
4. Hadoop
MapReduce Introduction to Hadoop MapReduce, Architecture of Hadoop and
Hadoop Ecosystem
Hadoop MapReduce for Batch Data Analysis
Apache Oozie, Apache Spark, Apache Storm Real-time Data Analysis
Using Apache Storm

Self-Learning Topics: Apache Hadoop Setup 7

5 IoT with ML Machine Learning in IoT Based Healthcare Applications, General
Architecture of H-IoT
Overview of Algorithms and Security of health data, Machine Learning
in IoT Based Smart Transportation, ML algorithms to support Smart
Transportation

Self-Learning Topics: Deep Learning in IOT 6
6. Security in
IoE Common Challenges in OT Security. How IT and OT Security
Practices and Systems Vary
Formal Risk Analysis Structures: OCTAVE and FAIR
Convergence of IoE and Blockchain its security challenges

Self-Learning Topics: Trust based Recommender Systems in IoT 5

Text Book
1 Hakima Chaouchi, Internet of Things connecting objects to the web. Wiley.
2 Arshdeep Bhaga and Vijay Madisetti, Internet of Things - A Hands -on-Approach.
3 David Hanes, Gonzalo Salgueiro, Patrick Grossetete, Rob Barton, Jerome Henry, “IoT Fundamentals –
Networking Technologies, Protocols, and Use Cases for the Internet of Things”, 1 st Edition, Pearson Education,
Cisco Press, 2017

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Reference Books
1 Samuel Greengard, The Internet of Things (MIT Press).
2 Hakima Chaouchi, The Internet of Things - Connecting objects to the web. Wiley Publications.
3 Herve chabanne, RFID and the Internet of Things. Wiley Publications.
Reference Papers
1 H. K. Bharadwaj et al., "A Review on the Role of Machine Learning in Enabling IoT Based Healthcare
Applications," in IEEE Access, vol. 9, pp. 38859 -38890, 2021, doi: 10.1109/ACCESS.2021.3059858.
2 Zantalis, F.; Koulouras, G.; Karabetsos, S.; Kandris, D. A Review of Machine Learning and IoT in Smart
Transportation. Future Internet 2019, 11, 94. https://doi.org/10.3390/fi11040094

Internal Assessment (IA):

Two tests must be conducted which should cover at least 80% of syllabus. The average marks of both the
tests will be considered as final IA marks .

End Semester Examination:

1. Question paper will consist of 6 questions, each of 20 marks.
2. Total 4 questions need to be solved.
3. Question No.1 will be compulsory and based on entire syllabus wherein sub Questions of 2 to 5 marks
will be asked. .
4. Remaining questions will be selected from all the modules

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Course
Code Course Name Teaching scheme Credit assigned
ILO1 011 Product Lifecycle
Management
(abbreviated as
PLM) Theory Pract. Tut. Theory Pract. Tut. Total
3 - - 3 - - 3


Course
Code Course Name Examination scheme
Theory (out of 100)
Term
work Pract.
and
Oral Oral Total Internal Assessment End
sem
Exam Test1 Test2 Avg.
ILO1 011 Product Lifecycle
Management 20 20 20 80 - - - 100



Course
Objectives 1. To familiarize the students with the need, benefits and components of PLM
2. To acquaint students with Product Data Management & PLM strategies
3. To give insights into new product development program and guidelines for
designing and developing a product
4. To familiarize the students with Virtual Product Development




Course
Outcomes will be able to…

1. Gain knowledge about phases of PLM, PLM strategies and
methodology for PLM feasibility study and PDM implementation.
2. Illustrate various approaches and techniques for designing and developing
products.
3. Apply product engineering guidelines / thumb rules in designing products for
moulding, machining, sheet metal working etc.
4. Acquire knowledge in applying virtual product development tools for components,
machining and manufacturing plan

Module Contents Hours
1 Introduction to Product Lifecycle Management (PLM): Product Lifecycle
Management (PLM), Need for PLM, Product Lifecycle Phases, Opportunities of
Globalization, Pre-PLM Environment, PLM Paradigm, Importance & Benefits of
PLM, Widespread Impact of PLM, Focus and Application, A PLM Project, Starting
the PLM Initiative, PLM Applications
PLM Strategies: Industrial strategies, Strategy elements, its identification,
selection and implementation, Developing PLM Vision and PLM Strategy , Change
management for PLM 12

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2 Product Design: Product Design and Development Process, Engineering Design,
Organization and Decomposition in Product Design, Typologies of Design Process
Models, Reference Model, Product Design in the Context of the Product
Development Process, Relation with the Development Process Planning Phase,
Relation with the Post design Planning Phase, Methodological Evolution in Product
Design, Concurrent Engineering, Characteristic Features of Concurrent
Engineering, Concurrent Engineering and Life Cycle Approach, New Product
Development (NPD) and Strategies, Product Configuration and Variant Management,
The Design for X System, Objective Properties and Design for X Tools, Choice of
Design for X Tools and Their Use in the Design Process 09
3 Product Data Management (PDM): Product and Product Data, PDM systems and
importance, Components of PDM, Reason for implementing a PDM system, financial
justification of PDM, barriers to PDM implementation 06
4 Virtual Product Development Tools: For components, machines, and manufacturing
plants, 3D CAD systems and realistic rendering techniques, Digital mock -up, Model
building, Model analysis, Modeling and simulation s in Product Design,
Examples/Case studies 06
5 Integration of Environmental Aspects in Product Design: Sustainable Development,
Design for Environment, Need for Life Cycle Environmental Strategies, Useful Life
Extension Strategies, End -of-Life Strategies, Introduction of Environmental
Strategies into the Design Process, Life Cycle Environmental Strategies and
Considerations for Product Design 06
6 Life Cycle Assessment and Life Cycle Cost Analysis: Properties, and Framework of
Life Cycle Assess ment, Phases of LCA in ISO Standards, Fields of Application and
Limitations of Life Cycle Assessment, Cost Analysis and the Life Cycle Approach,
General Framework for LCCA, Evolution of Models for Product Life Cycle Cost
Analysis 06

Reference Books:
1. John Stark, ―Product Lifecycle Management: Paradigm for 21st Century Product Realisation‖,
Springer -Verlag, 2004. ISBN: 1852338105
2. Fabio Giudice, Guido La Rosa, Antonino Risitano, ―Product Design for the environment -A life
cycle approach‖, Taylor & Francis 2006, ISBN: 0849327229
3. Saaksvuori Antti, Immonen Anselmie, ―Product Life Cycle Management‖, Springer, Dreamtech,
ISBN: 3540257314
4. Michael Grieve, ―Product Lifecycle Management: Driving the next generation of lean thinking‖,
Tata McGraw Hill, 2006, ISBN: 0070636265
Assessment:
Internal Assessment consists of two tests out of which; one should be compulsory class test and the other is
either a class test or assignment on live problems or course project.
End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional
to number of respective lecture hours as mention in the syllabus.

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1. Questio n paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part(a) from module 3 then part (b)
will be from any module other than module 3)
4. Only Four -question need to be solved .

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Course
Code Course Name Teaching scheme Credit assigned
ILO1 012 Reliability
Engineering
(abbreviated as
RE) Theory Pract. Tut. Theory Pract. Tut. Total
3 - - 3 - - 3

Course
Code Course Name Examination scheme
Theory (out of 100)
Term
work Pract.
and
Oral Oral Total Internal Assessment End
sem
Exam Test1 Test2 Avg.
ILO1 012 Reliability
Engineering 20 20 20 80 - - - 100



Course
Objectives  To familiarize the students with various aspects of probability theory
 To acquaint the students with reliability and its concepts
 To introduce the students to methods of estimating the system reliability of simple
and complex systems
 To understand the various aspects of Maintainability, Availability and FMEA
procedure


Course
Outcomes Student will be able to…
1. Understand and apply the concept of Probability to engineering problems
2. Apply various reliability concepts to calculate different reliability parameters
3. Estimate the system reliability of simple and complex systems
4. Carry out a Failure Mode Effect and Criticality Analysis

Module Contents Hours
1 Probability theory: Probability: Standard definitions and concepts; Conditional
Probability, Baye‘s Theorem.
Probability Distributions: Central tendency and Dispersion; Binomial, Normal,
Poisson, Weibull, Exponential, relations between them and their significance.
Measures of Dispersion: Mean, Median, Mode, Range, Mean Deviation, Standard
Deviation, Variance, Skewness and Kurtosis. 10
2 Reliability Concepts: Reliability definitions, Importance of Reliability, Quality
Assurance and Reliability, Bath Tub Curve.
Failure Data Analysis: Hazard rate, failure density, Failure Rate, Mean Time To
Failure (MTTF), MTBF, Reliability Functions.
Reliability Hazard Models: Constant Failure Rate, Linearly increasing, Time
Dependent Failure Rate, Weibull Model. Distribution functions and reliability
analysis. 10
3 System Reliability
System Configurations: Series, parallel, mixed configuration, k out of n structure,
Complex systems. 05

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4 Reliability Improvement
Redundancy Techniques: Element redundancy, Unit redundancy,
Standby redundancies. Markov analysis. System Reliability Analysis – Enumeration
method, Cut-set method, Success Path method, Decomposition method. 10
5 Maintainability and Availability
System downtime, Design for Maintainability: Maintenance requirements, Design
methods: Fault Isolation and self -diagnostics, Parts standardization and
Interchangeability, Modularization and Accessibility, Repair Vs Replacem ent.
Availability – qualitative aspects. 05
6 Failure Mode, Effects and Criticality Analysis:
Failure mode effects analysis, severity/criticality analysis, FMECA examples. Fault
tree construction, basic symbols, development of functional reliability block diagram,
Fau1t tree analysis and Event tree Analysis 05
Books Recommended:

Reference Books:
1. L.S. Srinath, ―Reliability Engineering‖, Affiliated East-Wast Press (P) Ltd., 1985.
2. Charles E. Ebeling, ―Reliability and Maintainability Engineering‖, Tata McGraw Hill.
3. B.S. Dhillion, C. Singh, ―Engineering Reliability‖, John Wiley & Sons, 1980.
4. P.D.T. Conor, ―Practical Reliability Engg.‖, John Wiley & Sons, 1985.
5. K.C. Kapur, L.R. Lamberson, ―Reliability in Engineering Design‖, John Wiley & Sons.
6. Murray R. Spiegel, ―Probability and Statistics‖, Tata McGraw -Hill Publishing Co. Ltd.

Assessment:

Internal Assessment consists of two tests out of which; one should be compulsory class test and the other is
either a class test or assignment on live problems or course project.

End Semester Theory Examination:

Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional
to number of respective lecture hours as mention in the syllabus.

1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part(a) from module 3 then part (b)
will be from any module other than module 3)
4. Only Four question need to be solved.

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Course
Code Course Name Teaching scheme Credit assigned
ILO1 013 Management
Information
System
(abbreviated as
MIS) Theory Pract. Tut. Theory Pract. Tut. Total
3 - - 3 - - 3

Course
Code Course Name Examination scheme
Theory (out of 100)
Term
work Pract.
and
Oral Oral Total Internal Assessment End
sem
Exam Test1 Test2 Avg.
ILO1 013 Management
Information System 20 20 20 80 - - - 100



Course
Objectives  The course is blend of Management and Technical field.
 Discuss the roles played by information technology in today‘s business and define
various technology architectures on which information systems are built
 Define and analyze typical functional information systems and identify how they
meet the needs of the firm to deliver efficiency and competitive advantage
 Identify the basic steps in systems development
 Define and analyze various MIS management responsibilities, including planning,
budgeting, project management, and personnel management
 Discuss critical ethical and social issues in information systems


Course
Outcomes Student will be able to…
1. Explain how information systems Transform Business
2. Identify the impact information systems have on an organization
3. Describe IT infrastructure and its components and its current trends
4. Understand the principal tools and technologies for accessing information from
databases to improve business performance and decision making
5. Identify the types of systems used for enterprise -wide knowledge
management and how they provide value for businesses


Module Contents Hours
1 Introduction To Information Systems (IS): Computer Based Information Systems, Impact
of IT on organizations, Importance of IS to Society. Organizational Strategy,
Competitive Advantages and IS. 7
2 Data and Knowledge Management: Database Approach, Big Data, Data warehouse and
Data Marts, Knowledge Management.
Business intelligence (BI): Managers and Decision Making, BI for Data analysis and 9

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Presenting Results
3 Ethical issues and Privacy : Information Security . Threat to IS, and Security Controls 6
4 Social Computing (SC): Web 2.0 and 3.0, SC in business -shopping, Marketing,
Operational and Analytic CRM, E-business and E- commerce – B2B B2C. Mobile
commerce. 7
5 Computer Networks Wired and Wireless technology, Pervasive
computing, Cloud computing model. 6
6 Information System within Organization: Transaction Processing Systems, Functional
Area Information System, ERP and ERP support of Business Process.
Acquiring Information Systems and Applications: Various System development life
cycle models. 10

Books Recommended:

Reference Books:
1. Management Information Systems: Kelly Rainer, Brad Prince by Wiley
2. Management Information Systems: Managing the Digital Firm (10th Edition). K.C. Laudon and J.P.
Laudon, Prentice Hall, 2007.
3. Managing Information Systems: Strategy and Organization, D. Boddy, A. Boonstra, Prentice
Hall, 2008

Assessment:

Internal Assessment consists of two tests out of which; one should be compulsory class test (on minimum 02
Modules) and the other is either a class test or assignment on live problems or course project
Theory Examination:
1. Question paper will comprise of 6 questions, each carrying 20 marks.
2. Total four questions need to be solved.
3. Q.1 will be compulsory, based on entire syllabus wherein sub questions of 2 to 5 marks will be asked.
4. Remaining question will be randomly selected from all the modules.

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Course
Code Course Name Teaching scheme Credit assigned
ILO1 014 Design of Experiments
(abbreviated as DoE) Theory Pract. Tut. Theory Pract. Tut. Total
3 - - 3 - - 3

Course
Code Course Name Examination scheme
Theory (out of 100)
Term
work Pract.
and
Oral Oral Total Internal Assessment End
sem
Exam Test1 Test2 Avg.
ILO1 014 Design of
Experiments 20 20 20 80 - - - 100





Course
Objectives 1. To understand the issues and principles of Design of Experiments (DOE).
2. To list the guidelines for designing experiments.
3. To become familiar with methodologies that can be used in conjunction with
experimental designs for robustness and optimization
Course
Outcomes Student will be able to…
1. Plan data collection, to turn data into information and to make decisions that lead to
appropriate action.
2. Apply the methods taught to real life situations.
3. Plan, analyze, and interpret the results of experiments


Module Contents Hours
1 Introduction: Strategy of Experimentation, Typical Applications of Experimental
Design, Guidelines for Designing Experiments, Response Surface Methodology. 6
2 Fitting Regression Models: Linear Regression Models, Estimation of the
Parameters in Linear Regression Models, Hypothesis Testing in Multiple
Regression, Confidence Intervals in Multiple Regression, Prediction of new
response observation, Regression model diagnostics, Testing for lack of fit. 8
3 Two -Level Factorial Designs: The 22Design, The 23 Design, The General 2k
Design, A Single Replicate of the 2kDesign, The Addition of Center Points to the
2kDesign, Blocking in the 2kFactorial Design, Split - Plot Designs. 7
4 Two -Level Fractional Factorial Designs: The One-Half Fraction of the 2k Design,
The One-Quarter Fraction of the 2k Design, The General 2k-p Fractional Factorial
Design, Resolution III Designs, Resolution IV and V Designs, Fractional Factorial
Split -Plot Designs. 7
5 Conducting Tests: Testing Logistics, Statistical aspects of conducting tests,
Characteristics of good and bad data sets, Example experiments, Attribute Vs
Variable data sets. 7

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6 Taguchi Approach: Crossed Array Designs and Signal -to-Noise Ratios, Analysis
Methods, Robust design examples. 4

Books Recommended:

Reference Books:
1. Raymond H. Mayers, Douglas C. Montgomery, Christine M. Anderson -Cook, Response Surface
Methodology: Process and Product Optimization using Designed Experiment, 3rd edition, John
Wiley & Sons, New York, 2001
2. D.C. Montgomery, Design and Analysis of Experiments, 5th edition, John Wiley & Sons, New
York, 2001
3. George E P Box, J Stuart Hunter, William G Hunter, Statics for Experimenters: Design, Innovation
and Discovery, 2nd Ed. Wiley
4. W J Dimond, Peactical Experiment Designs for Engineers and Scintists, John Wiley and Sons
Inc. ISBN: 0-471-39054 -2
5. Design and Analysis of Experiments (Springer text in Statistics), Springer by A.M. Dean, and D.
T.Voss
6. Philip J Ross, ―Taguchi Technique for Quality Engineering,‖ McGraw Hill.
7. Madhav S Phadake, ―Quality Engineering using Robust Design,‖ Prentice Hall.

Assessment:

Internal Assessment consists of two tests out of which; one should be compulsory class test (on minimum 02
Modules) and the other is either a class test or assignment on live problems or course project

Theory Examination:

1. Question paper will comprise of 6 questions, each carrying 20 marks.
2. Total four questions need to be solved.
3. Q.1 will be compulsory, based on entire syllabus wherein sub questions of 2 to 5 marks will be asked.
4. Remaining question will be randomly selected from all the modules.

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Course
Code Course Name Teaching scheme Credit assigned
ILO1 015 Operation Research
(abbreviated as OR) Theory Pract. Tut. Theory Pract. Tut. Total
3 - - 3 - - 3

Course
Code Course Name Examination scheme
Theory (out of 100)
Term
work Pract.
and
Oral Oral Total Internal Assessment End
sem
Exam Test1 Test2 Avg.
ILO1 015 Operation Research 20 20 20 80 - - - 100

Course
Objectives  Formulate a real-world problem as a mathematical programming model.
 Understand the mathematical tools that are needed to solve optimization problems.
 Use mathematical software to solve the proposed models.



Course
Outcomes Student will be able to…
1. Understand the theoretical workings of the simplex method for linear
programming and perform iterations of it by hand.
2. Understand the relationship between a linear program and its dual, including
strong duality and complementary slackness.
3. Perform sensitivity analysis to determine the direction and magnitude of change of
a model‘s optimal solution as the data change.
4. Solve specialized linear programming problems like the transportation and
assignment problems.
5. Solve network models like the shortest path, minimum spanning tree, and
maximum flow problems.
6. Understand the applications of, basic methods for, and challenges in integer
programming
7. Model a dynamic system as a queuing model and compute important
performance measures

Module Contents Hours
1 Introduction to Operations Research : Introduction, Historical Background,
Scope of Operations Research , Features of Operations Research, Phases of
Operations Research, Types of Operations Research Models, Operations Research
Methodology, Operations Research Techniques and Tools , Structure of the
Mathematical Model, Limitations of Operations Research 2
2 Linear Programming : Introduction, Linear Programming Problem, Requirements
of LPP, Mathematical Formulation of LPP, Graphical method, Simplex Method
Penalty Cost Method or Big M-method, Two Phase Method, Revised simplex
method, Duality , Primal – Dual construction, Symmetric and Asymmetric Dual,
Weak Duality Theorem, Complimentary Slackness Theorem, Main Duality 6

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Theorem, Dual Simplex Method, Sensitivity Analysis
3 Transportation Problem : Formulation, solution, unbalanced
Transportation problem. Finding basic feasible solutions – Northwest corner rule,
least cost method and Vogel‘s approximation method. Optimality test: the stepping
stone method and MODI method.
Assignment Problem : Introduction, Mathematical Formulation of the Problem,
Hungarian Method Algorithm, Processing of n Jobs Through Two Machines and
m Machines, Graphical Method of Two Jobs m Machines Problem Routing
Problem, Travelling Salesman Problem 6
4 Integer Programming Problem : Introduction, Types of Integer Programming
Problems, Gomory‘s cutting plane Algorithm, Branch and Bound Technique.
Introduction to Decomposition algorithms. 6
5 Queuing models : queuing systems and structures, single server and multi -server
models, Poisson input, exponential service, constant rate service, finite and infinite
population 6
6 Simulation : Introduction, Methodology of Simulation, Basic Concepts, Simulation
Procedure, Application of Simulation Monte -Carlo Method: Introduction, Monte -
Carlo Simulation, Applications of Simulation, Advantages of Simulation,
Limitations of Simulation 4
7 Dynamic programming . Characteristics of dynamic programming. Dynamic
programming approach for Priority Management employment smoothening, capital
budgeting, Stage Coach/Shortest Path, cargo loading and Reliability problems. 4
8 Games Theory . Competitive games, rectangular game, saddle point, minimax
(maximin) method of optimal strategies, value of the game. Solution of games
with saddle points, dominance principle. Rectangular games without saddle point –
mixed strategy for 2 X 2 games. 4
9 Inventory Models : Classical EOQ Models, EOQ Model with Price Breaks,
EOQ with Shortage, Probabilistic EOQ Model, 4

Reference Books:
1. Taha, H.A. "Operations Research - An Introduction", Prentice Hall, (7th Edition), 2002.
2. Ravindran, A, Phillips, D. T and Solberg, J. J. "Operations Research: Principles and Practice", John
Willey and Sons, 2nd Edition, 2009.
3. Hiller, F. S. and Liebermann, G. J. "Introduction to Operations Research", Tata McGraw Hill, 2002.
4. Operations Research, S. D. Sharma, Kedar Nath Ram Nath -Meerut.
5. Operations Research, Kanti Swarup, P. K. Gupta and Man Mohan, Sultan Chand & Sons.
Assessment:
Internal Assessment consists of two tests out of which; one should be compulsory class test and the other is either a class test or
assignment on l ive problems or course project.
End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question papers of en d semester
examination. In question paper weightage of each module will be proportional to number of respective lecture hours as
mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part(a) from module 3 then part (b) will be from any
module other than module 3)
4. Only Four -question need to be solved.

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Course
Code Course Name Teaching scheme Credit assigned
ILO1 016 Cyber Security and
Laws (abbreviated as
CSL) Theory Pract. Tut. Theory Pract. Tut. Total
3 - - 3 - - 3

Course
Code Course Name Examination scheme
Theory (out of 100)
Term
work Pract.
and
Oral Oral Total Internal Assessment End
sem
Exam Test1 Test2 Avg.
ILO1 016 Cyber Security and
Laws 20 20 20 80 - - - 100

Course
Objectives  To understand and identify different types cyber crime and cyber law
 To recognized Indian IT Act 2008 and its latest amendments
 To learn various types of security standards compliances


Course
Outcomes Student will be able to…
1. Understand the concept of cyber crime and its effect on outside world
2. Interpret and apply IT law in various legal issues
3. Distinguish different aspects of cyber law
4. Apply Information Security Standards compliance during software design
and development


Module Contents Hours
1 Introduction to Cybercrime: Cybercrime definition and origins of the world,
Cybercrime and information security, Classifications of cybercrime, Cybercrime
and the Indian ITA 2000, A global Perspective on cybercrimes. 4
2 Cyber offenses & Cybercrime: How criminal plan the attacks, Social Engg,
Cyber stalking, Cybercafé and Cybercrimes, Botnets, Attack vector, Cloud
computing, Proliferation of Mobile and Wireless Devices, Trends in Mobility,
Credit Card Frauds in Mobile and Wireless Computing Era, Security Challenges
Posed by Mobile Devices, Registry Settings for Mobile Devices, Authentication
Service Security, Attacks on Mobile/Cell Phones, Mobile Devices: Security
Implications for Organizations, Organizational Measures for Handling Mobile,
Devices - Related Security Issues, Organizational Security Policies and Measures
in Mobile Computing Era, Laptops 10
3 Tools and Methods Used in Cyberline : Phishing, Password Cracking, Keyloggers
and Spywares, Virus and Worms, Steganography, DoS and DDoS Attacks, SQL
Injection, Buffer Over Flow, Attacks on Wireless Networks, Phishing, Identity
Theft (ID Theft) 6
4 The Concept of Cyberspace: E-Commerce , The Contract Aspects in Cyber
Law ,The Security Aspect of Cyber Law ,The Intellectual Property Aspect in
Cyber Law, The Evidence Aspect in Cyber Law, The Criminal Aspect in 8

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Cyber Law, Global Trends in Cyber Law , Legal Framework for Electronic
Data Interchange Law Relating to Electronic Banking , The Need for an Indian
Cyber Law
5 Indian IT Act.: Cyber Crime and Criminal Justice : Penalties, Adjudication
and Appeals Under the IT Act, 2000,IT Act. 2008 and its Amendments 8
6 Information Security Standard compliances
SOX, GLBA, HIPAA, ISO, FISMA, NERC, PCI. 6
Reference Books:

1. Nina Godbole, Sunit Belapure, Cyber Security , Wiley India, New Delhi
2. The Indian Cyber Law by Suresh T. Vishwanathan; Bharat Law House New Delhi
3. The Information technology Act, 2000; Bare Act- Professional Book Publishers, New Delhi.
4. Cyber Law & Cyber Crimes By Advocate Prashant Mali; Snow White Publications, Mumbai
5. Nina Godbole, Information Systems Security, Wiley India, New Delhi
6. Kennetch J. Knapp, Cyber Security &Global Information Assurance Information Science
Publishing.
7. William Stallings , Cryptography and Network Security, Pearson Publication
8. Websites for more information is available on : The Information Technology ACT, 2008 - TIFR :
https://www.tifrh.res.in
9. Website for more information , A Compliance Primer for IT professional :
https://www.sans.or g/reading room/whitepapers/compliance/compliance -primer -professionals -
33538

Assessment:

Internal Assessment consists of two tests out of which; one should be compulsory class test and the other is
either a class test or assignment on live problems or course project.

End Semester Theory Examination:

Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional
to number of respective lecture hours as mention in th e syllabus.

1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part(a) from module 3 then part (b)
will be from any module other than module 3)
4. Only Four question need to be solved.

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45 | P a g e
Course
Code Course Name Teaching scheme Credit assigned

ILO1 017 Disaster Management
and Mitigation
Measures (abbreviated
as DMMM) Theory Pract. Tut. Theory Pract. Tut. Total
3 - - 3 - - 3

Course
Code Course Name Examination scheme
Theory (out of 100)
Term
work Pract.
and
Oral Oral Total Internal Assessment End
sem
Exam Test1 Test2 Avg.

ILO1 017 Disaster Management
and Mitigation
Measures 20 20 20 80 - - - 100





Course
Objectives  To understand the various types of disaster occurring around the world
 To identify extent and damaging capacity of a disaster
 To study and understand the means of losses and methods to overcome
/minimize it.
 To understand role of individual and various organization during and after
disaster
 To know warning systems, their implementation and based on this to initiate
training to a laymen
 To understand application of GIS in the field of disaster management
 To understand the emergency government response structures before, during
and after disaster



Course
Outcomes Student will be able to…
1. Understand natural as well as manmade disaster and their extent and possible
effects on the economy.
2. Planning of national importance structures based upon the previous history.
3. Understand government policies, acts and various organizational structure
associated with an emergency.
4. Know the simple do‘s and don‘ts in such extreme events and act
accordingly

Module Contents Hours
1 Introduction: Definition of Disaster, hazard, global and Indian scenario, general
perspective, importance of study in human life, Direct and indirect effects of
disasters, long term effects of disasters. Introduction to global warming and climate
change. 03
2 Natural Disaster and Manmade disasters: Natural Disaster: Meaning and nature of
natural disaster, Flood, Flash flood, drought, cloud burst, Earthquake, Landslides,
Avalanches, Volcanic eruptions, Mudflow, Cyclone, Storm, Storm Surge, climate
change, global warming, sea level rise, ozone depletion . Manmade Disasters: 06

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3 Disaster Management, Policy and Administration: Disaster management:
meaning, concept, importance, objective of disaster management policy, disaster
risks in India, Paradigm shift in disaster management. Policy and administration:
Importance and principles of disaster management policies, command and co-
ordination of in Chemical, Industrial, Nuclear and Fire Hazards. Role of growing
population and subsequent industrialization, urbanization and changing lifestyle
of human beings in frequent occurrences of manmade disasters. disaster
management, rescue operations -how to start with and how to proceed in due course
of time, study of flowchart showing the entire process. 06
4 Institutional Framework for Disaster Management in India: Importance of public
awareness, Preparation and execution of emergency management programme.
Scope and responsibilities of National Institute of Disaster Management (NIDM)
and National disaster management authority (NDMA) in India. Methods and
measures to avoid disasters, Management of casualties, set up of emergency
facilities, importance of effective communication amongst different agencies in
such situations. Use of Internet and softwares for effective disaster management.
Applications of GIS, Remote sensing and GPS in this regard. 06
5 Financing R e l i e f Measures: Ways to raise finance for relief expenditure,
Role of government agencies and NGO’s in this process, Legal aspects related to
finance raising as well as overall management of disasters. Various NGO’s and the
works they have carried out in the past on the occurrence of various disasters, Ways
to approach these teams. International relief aid agencies and their role in extreme
events. 09
6 Preventive and Mitigation Measures: Pre-disaster, during disaster and post-
disaster measures in some events in general, Structural mapping: Risk mapping,
assessment and analysis, sea walls and embankments, Bio shield, shelters, early
warning and communication. Non Structural Mitigation: Community based
disaster preparedness, risk transfer and risk financing, capacity development and
training, awareness and education, contingency plans. Do‘s and don‘ts in case of
disasters and effective implementation of relief aids. 06
Reference Books:
1. Disaster Management by Harsh K.Gupta, Universities Press Publications.
2. Disaster Management: An Appraisal of Institutional Mechanisms in India‘ by O.S.Dagur,
published by Centre for land warfare studies, New Delhi, 2011.
3. Introduction to International Disaster Management by Damon Copolla, Butterworth Heinemann
Elseveir Publications.
4. Disaster Management Handbook‘ by Jack Pinkowski, CRC Press Taylor and Francis group.
5. Disaster management & rehabilitation‘ by Rajdeep Dasgupta, Mittal Publications, New Delhi.
6. Natural Hazards and Disaster Management, Vulnerability and Mitigation – R B Singh, Rawat
Publications
7. Concepts and Techniques of GIS –C.P. Lo Albert, K.W. Yonng – Prentice Hall (India)
Publications.
(Learners are expected to refer reports published at national and International level and updated
information available on authentic web sites)

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Assessment:
Internal Assessment consists of two tests out of which; one should be compulsory class test and the other is
either a class test or assignment on live problems or course project.
End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional
to number of respective lecture hours as mention in th e syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part(a) from module 3 then part (b)
will be from any module other than module 3)
4. Only Four -question need to be solved.

Page 50

48 | P a g e
Course
Code Course Name Teaching scheme Credit assigned

ILO1 018 Energy Audit and
Management
(abbreviated as EAM) Theory Pract. Tut. Theory Pract. Tut. Total
3 - - 3 - - 3

Course
Code Course Name Examination scheme
Theory (out of 100)
Term
work Pract.
and
Oral Oral Total Internal Assessment End
sem
Exam Test1 Test2 Avg.
ILO1 018 Energy Audit and
Management 20 20 20 80 - - - 100



Course
Objectives  To understand the importance of energy security for sustainable development and the
fundamentals of energy conservation.
 To introduce performance evaluation criteria of various electrical and thermal
installations to facilitate the energy management
 To relate the data collected during performance evaluation of systems for
identification of energy saving opportunities


Course
Outcomes Student will be able to…
1. To identify and describe present state of energy security and its importance.
2. To identify and describe the basic principles and methodologies adopted in energy
audit of an utility.
3. To describe the energy performance evaluation of some common electrical
installations and identify the energy saving opportunities.
4. To describe the energy performance evaluation of some common thermal
installations and identify the energy saving opportunities
5. To analyze the data collected during performance evaluation and recommend
energy saving measures

Module Contents Hours
1 Energy Scenario: Present Energy Scenario, Energy Pricing, Energy Sector
Reforms, Energy Security, Energy Conservation and its Importance, Energy
Conservation Act-2001 and its Features. Basics of Energy and its various forms,
Material and Energy balance 4
2 Energy Audit Principles: Definition, Energy audit - need, Types of energy audit,
Energy management (audit) approach -understanding energy costs, Bench marking,
Energy performance, Matching energy use to requirement, Maximizing system
efficiencies, Optimizing the input energy requirements, Fuel and energy
substitution. Elements of monitoring& targeting; Energy audit Instruments; Data
and information - analysis. Financial analysis techniques: Simple payback period,
NPV, Return on investment (ROI), Internal rate of return (IRR) 8

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3 Energy Management and Energy Conservation in Electrical System:
Electricity billing, Electrical load management and maximum demand Control;
Power factor improvement, Energy efficient equipment’s and appliances, star
ratings. Energy efficiency measures in lighting system, Lighting control:
Occupancy sensors, daylight integration, and use of intelligent controllers.
Energy conservation opportunities in: water pumps, industrial drives, induction
motors, motor retrofitting, soft starters, variable speed drives. 10
4 Energy Management and Energy Conservation in Thermal Systems: Review
of different thermal loads; Energy conservation opportunities in: Steam
distribution system, Assessment of steam distribution losses, Steam leakages,
Steam trapping, Condensate and flash steam recovery system.
General fuel economy measures in Boilers and furnaces, Waste heat recovery
use of insulation - types and application. HVAC system: Coefficient of
performance, Capacity, factors affecting Refrigeration and Air Conditioning
system performance and savings opportunities 10
5 Energy Performance Assessment: On site Performance evaluation techniques,
Case studies based on: Motors and variable speed drive, pumps, HVAC system
calculations; Lighting System: Installed Load Efficacy Ratio (ILER) method,
Financial Analysis. 4
6 Energy conservation in Buildings: Energy Conservation Building Codes
(ECBC): Green Building, LEED rating, Application of Non- Conventional and
Renewable Energy Sources 3

Reference Books:

1. Handbook of Electrical Installation Practice, Geofry Stokes, Blackwell Science
2. Designing with light: Lighting Handbook, By Anil Valia, Lighting System
3. Energy Management Handbook, By W.C. Turner, John Wiley and Sons
4. Handbook on Energy Audits and Management, edited by A. K. Tyagi, Tata Energy Research
Institute (TERI).
5. Energy Management Principles, C.B.Smith, Pergamon Press
6. Energy Conservation Guidebook, Dale R. Patrick, S. Fardo, Ray E. Richardson, Fairmont Press
7. Handbook of Energy Audits, Albert Thumann, W. J. Younger, T. Niehus, CRC Press
8. www.energymanagertraining.com
9. www.bee -india.nic.in

Assessment:
Internal Assessment consists of two tests out of which; one should be compulsory class test and the other is
either a class test or assignment on live problems or course project.

End Semester Theory Examination:

Some guidelines for setting up the questio n paper. Minimum 80% syllabus should be covered in question

Page 52

50 | P a g e
papers of end semester examination. In question paper weightage of each module will be proportional
to number of respective lecture hours as mention in the syllabus.

1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part(a) from module 3 then part (b)
will be from any module other than module 3)
4. Only Four -question need to be solved.

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Course
Code Course
Name Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ELXL1011 Power
Electronics
System
Design Lab -- 02 -- -- 01 -- 01

Course
Code Course Name Examination Scheme
Theory Marks
Term
Work Practical
And
Oral Total Internal assessment
End
Sem.
Exam Exam
duration
Hours Test
1 Test
2 Avg of
Test 1
and Test
2
ELXL1011 Power
Electronics
System Design
Lab - - - - - 25 25 50

Term Work:
At least 10 experiments covering the entire syllabus of ELXC1013 ( Power Electronics System Design )
should be set to have well predefined inference and conclusion. The experiments should be student centric
and attempt should be made to make experiments more meaningful, interesting. Simulation experi ments are
also encouraged. Experiments must be graded from time to time. The grades should be converted into marks
as per the Credit and Grading System manual and should be added and averaged. The grading and term work
assessment should be done based on th is scheme. The final certification and acceptance of term work ensures
satisfactory performance of laboratory work and minimum passing marks in term work. Practical and Oral
exams will be based on the entire syllabus.



Laboratory Outcomes:

After successful completion of the course students will be able to:
1. Analyze selection criteria for power switching devices .
2. Simulate the power converters using simulation software like MATLAB, SCILAB and
PSPICE.
3. Design and simulate closed loop control s ystem for power converters.
4. Simulate a three phase power converters.
5. Understand the application of power electronics system.

Note: The action verbs according to Bloom's taxonomy are highlighted in bold.

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Suggested List of Experiments

Sr.
No. Experiment Title
1 To study selection criteria for power switching devices.
2 To study PSPICE as circuit oriented simulators for power converters.
3 To study MATLAB as circuit oriented simulators for power converters.
4 To study SCILAB as circuit oriented simulators for power converters.
5 To study ZOH, FOH and SOH model of power converters.
6 To study PI and PID control of power converters.
7 To study three phase inverter with R, RL load.
8 To study multilevel inverter topologies.
9 To study three phase controlled rectifier with R/RL load.
10 To study grid interface of renewable energy sources.

Note: Experiments can be performed online using simulation software as well as hardware. Free simulation
software SCILAB can be used to perform the experiments.

(Expected percentage of H/w and software experiments should be 60% & 40% respectively)


Note:
Suggested List of Experiments is indicative. However, flexibility lies with individual course instructors
to design and introduce new, innovative and challenging experiments, (limited to maximum 30%
variation to the suggested list) from within the curriculum, so that the fundamentals and applications
can be explored to give greater clarity to the students and they can be motivated to think differently.

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Course
Code Course Name Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ELXL
1012 Advanced
VLSI Design
Lab
(Skill Based
Lab) -- 04 -- -- 02 -- 02

Course
Code Course Name Examination Scheme
Theory Marks
Term
Work Practical
And
Oral Total Internal assessment
End
Sem.
Exam Exam
duration
Hours Test
1 Test
2 Avg of
Test 1
and Test
2
ELXL1012 Advanced
VLSI Design Lab - - - - - 50 50 100

Suggested List of Experiments (Any six): -

Students will have to perform at least one experiment on each module and submit certified journal having a
minimum of 8 experiments.

Module No. List of
Experiments
1 Supply and ground bounce determination
2 Switch capacitor Filter
Analog Multiplier
3 Schmitt Trigger
Ring oscillator
4 ADC based on charge distribution
Delta -sigma converters

5 ROM Implementation
Sensing amplifier
Operation of Memory cell
6 PLL Implementation
DLL Implementation
Additionally
Skill Based Lab - I is moreover focus on the learning through experience and projects . Hence, simulation and hands on
different software platforms (at-least 2 to 3) is expected. The course shall facilitate the learner to acquire the
fundamentals of practical engineering in the specialization in a project -oriented environment. The learning through
skill-based labs can be useful in facilitating their research work and hence useful in early completion of their dissertation
work

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Program Structure for ME Electronics Engineering
UNIVERSITY OF MUMBAI
(With Effect from 2022 -2023 )
Semester - II


Course Code


Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ELXC2021 Modern Industrial
Internet
Engineering
03
---
---
03
---
---
03
ELXC2022 Emerging Trends in
SOC Design 03 --- --- 03 --- --- 03
ELXC2023 Department Level
Optional Course III 03 --- --- 03 --- --- 03
ELXDLO202X Department Level
Optional Course IV 03 --- --- 03 --- --- 03
ILO202X Institute Level
Optional Course -II 03 --- --- 03 --- --- 03
ELXL2021 Laboratory -III
Emerging Trends in
SOC Design
---
02
---
---
01
---
01
ELXL2022 Laboratory -IV
Advanced Digital
Signal Processing
(ADSP)
---
04
---
---
02
---
02
TOTAL 15 06 --- 15 03 --- 18



Course Code

Course Name EXAMINATION SCHEME –SEMESTER II
THEORY

MAXIMUMMARKS INTERNAL
ASSESSMENT
(IA) End Semester
Examination(
Marks)
Exam
Duration(
Hours) Test
I Test
II Avg. Term
Work Practical
/ Oral Total
ELXC2021 Modern Industrial
Internet Engineering 20 20 20 80 03 --- --- 100
ELXC2022 Emerging Trends in
SOC Design 20 20 20 80 03 --- --- 100
ELXC2023 Department Level
Optional Course III 20 20 20 80 03 --- --- 100
ELXDLO202X Department Level
Optional Course IV 20 20 20 80 03 --- --- 100
ILO202X Institute Level
Optional Course -II 20 20 20 80 03 --- --- 100
ELXL2021 Emerging Trends in
SOC Design Lab
---
---
---
---
---
25
25
50
ELXL2022 Advanced Digital
Signal Processing
(ADSP -SBL)
---
---
---
---
---
50
50
100
TOTAL 100 100 100 400 --- 75 75 650

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Course Code Department Level Optional Course -III
(EXCDLO202X)
ELXDLO2021 Advanced Processor Architecture -II
ELXDLO2022 Cloud Computing
ELXDLO2023 Nano -electronics

Course Code Department Level Optional Course -IV
(ELXDLO -X)
ELXDLO2024 Advanced Digital Signal Processing
ELXDLO2025 Deep Learning and Computer vision
ELXDLO2026 Modern Operating Systems

Course
Code Institute Level Optional Course -II (ILO202X)
ILO2021 Project Management
ILO2022 Finance Management
ILO2023 Entrepreneurship Development and Management
ILO2024 Human Resource Management
ILO2025 Professional Ethics and CSR
ILO2026 Research Methodology
ILO2027 IPR and Patenting
ILO2028 Digital Business Management
ILO2029 Environmental Management

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Course
Code
Course
Name Teaching Scheme Credits Assigned
Theory Practical
and Oral Tutorial Theory TW/Practical
and Oral Tutorial Total
ELXC
2021 Modern
Industrial
Internet
Engineering 03 - - 03 - -
03

Subject
Code Subject
Name Examination Scheme
Theory Marks
Term
Work Practical
and Oral Total Internal assessment
End
Sem.
Exam Exam
duratio
n
Hours Test 1 Test 2 Avg of
Test 1
and Test
2
ELXC
2021 Modern
Industrial
Internet
Engineering 20 20 20 80 03 - - 100

Pre-Requisites : Computer Networks, Web Technologies, Industrial Automation.
Course Objectives:
 To understand the importance of the Internet in Industrial applications.
 To understand various protocols used in modern industry for communication.
 To learn Internet of Things
 To analyse IoT functional stack
Course Outcomes:
At the end of this course the student will be able to:
1. Understand the importance of the Internet in Industrial applications.
2. Compare various communication protocols used in industry.
3. Analyse significance of Industry 4.0
4. Emphasize core IoT functional Stack and understand application protocols for IoT.
5. Define cloud computing and memorize the different clou d service and deployment models.
6. Understand security aspects of IoT

Module
No. Unit
No. Contents Hrs.
1 Internet Fundamentals and IP versions 03
1.1 IPv4 ADDRESSES : Address Space , Classful and Classless addressing.
1.2 IPv6 ADDRESSES: Structure, Address Space, Packet format, Advantages.
1.3 TRANSITION FROM IPv4 TO IPv6
2 Industrial Communication Protoco ls 06
2.1 Web Communication Protocols for connected devices: - CoRE Environment, CoAP,
M2M, MQTT, XMPP, HTTP, SOAP Protocols

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2.2 RS485/RS232 Communication Protocols, MODBUS protocol,
3 Industry 4.0 and Internet of Things (IoT) 08
3.1 IoT Impact – Connected Roadways, Connected Factory, Smart Connected
Buildings, Smart Creatures
3.2 Convergence of IT and OT, IoT Challenges
3.3 IoT Data Management and Compute Stack – Design considerations and Data
related problems, Fog Computing, Edge Computing, The Hierarchy of Edge,
Fog and Cloud
4 The Core IoT Functional Stack 08
4.1 Layer 1 – Things: Sensors and Actuators Layer
4.2 Layer 2 – Communications Network Layer, Access Network Sublayer,
Gateways and Backhaul Sublayer, Network Transport Sublayer, IoT Network
Management Sublayer
4.3 Layer 3 – Applications and Analytics Layer, Analytics Vs. Control Applications,
Data Vs. Network Analytics, Data Analytics Vs. Business Benefits, Smart
Services
5 Cloud Computing 08
5.1 Cloud Computing Paradigm for Data Collection, storage and computing
5.2 Cloud Service Models, Cloud Deployment Models,Cloud computing
architecture, Advantages and Disadvantages of Cloud Computing.
6 Securing IoT 06
6.1 Security Priorities : Integrity, Availability and Confidentiality
6.2 Risk Analysis Structures : OCTAVE and FAIR
Total 39

Text Books:
1. B.A. Forouzan, Data Communications and Networking, 4th edition, TMH
2. David Hanes, Gonzalo Salgueiro, Patrick Grossetete, Rob Barton, Jerome Henry, “IoT Fundamentals
– Networking Technologies, Protocols, and Use Cases for the Internet of Things”, 1 st Edition,
Published by Pearson Education, Inc, publishing as Cisco Press, 2017.
3. Barrie Sosinsky ,”Cloud Computing Bible”,Wiley Publication.
Reference Books:
1. Building the Internet of Things with IPv6 and MIPv6: The Evolving World of M2M
Communications, by D aniel Minoli, Bernd Scholz -Reiter, Florian, Wiley Publication
2. Industrial IoT Challenges, Design Principles, Applications, and Security by Ismail Butun (Editor),
Springer Publications.
Internal Assessment (IA):
Two tests must be conducted which should cover at least 80% of syllabus. The average marks of both the
test will be considered as final IA marks
End Semester Examination:
1. Question paper will consist of 6 questions, each of 20 marks.
2. Total 4 questions need to be solved.
3. Question No.1 will be comp ulsory and based on the entire syllabus wherein sub -questions of 2 to 5
marks will be asked.
4. Remaining questions will be selected from all the modules.

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Course
Code
Course
Name Teaching Scheme Credits Assigned
Theory Practical
and
Oral Tutorial Theory TW/Practical
and Oral Tutorial Total
ELXC2022 Emerging
Trends in
SOC
Design
03
--
--
03
--
--
03

Course Code
Course
Name Examination Scheme
Theory Marks
Term
Work Practical
and Oral Total Internal assessment
End
Sem.
Exam Exam
duration
Hours Test
1 Test 2 Avg of
Test 1
and Test
2
ELXC2022 Emerging
Trends in
SOC
Design 20 20 20 80 3 -- -- 100

Course Objectives:

1. To develop the understanding of fundamental principles of System on Chip Design.
2. To disseminate the basic methods for FPGA, ASIC and NOC based design for SOC.
3. To develop the concept of Soft core and Multi -Core Processors .
4. To introduce the design of Processor ASIC and DDR memory controller.

Course Outcomes:
After successful completion of the course students will be able to:

1. Understand the fundamental concepts of SOC design .
2. Analyze various SOC designs based on ASIC, FPGA and NOC.
3. Develop the concepts of Soft core and Multi core Processors .
4. Design various System on Chip Designs using FPGA and ASIC .
5. Create SOC designs similar to Processor ASIC and DDR me mory controller .

Note: The action verbs according to Bloom's taxonomy are highlighted in bold.

Module
No. Unit
No. Contents Hrs.
1 Introduction to SoC 06
1.1 The Fundamentals trends of SoC, SoC Design Flow, Challenges in SoC Design
1.2 Introduction to Digital SoC Design:
Fundamentals of Processor Organizations, Memory Organizations and Interconnect
organizations,

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1.3 Introduction to Analog SoC Design:
System Architecture and Methods, Noise in Mixed Signal Circuits, Inter Symbol
Interference
2 FPGA Based System Design 06
2.1 FPGA Based Systems Designs: Goals and Techniques, Hierarchical Design, Design
Abstraction, Methodologies
2.2 FPGA Based Architecture: Introduction, Behaviour Design, Design Methodologies
2.3 Large Scale FPGA Systems: Busses, Platform FPGAs, Multi -FPGA Systems, Novel
Architectures
3 ASIC Based System Design 08
3.1 ASIC Design Constraints: Synchronous Design Flow, Positive and Negative Clock and
impact on speed. Timing Path Design
3.2 Multiple Clock Domain Design: Data Path Synchronizers
3.3 Architecture and Microarchitecture Design: Design Partitioning and Clock Grouping
4 Soft-core And Multicore Processors 10
4.1 Soft-core Processors: Configurable Processors, Instruction Set issues
4.2 Stream Multicore Processors: Raw Architecture Overview, Raw chip Implementation,
Stream and ILP Computation
5 NoC Based Design and IoT 07
5.1 NoC with Switch interconnect: Static and Dynamic Networks
5.2 Layered Architecture and Network Interface Unit: NoC Layered Architecture, NoC
and NIU Example, Bus versus NoC
5.3 Evaluating Interconnect Networks: Static Versus Dynamic Networks, Comparing
Networks Examples
6 SoC Case Studies 02 6.1 Processor ASIC Implementation, DDR memory controller
6.2 ALTERA ARRIA -10
Total 39

Text Books:
1. Michael J. Flynn, Wayne Luk,” Computer System Design: System -On-Chip”, Wiley ;
ISBN: 9781118009901, Edition: 1, June 2011.
2. Vibbhav Taraate, “ASIC Design and Synthesis -RTL Design Using Verilog”, Springer, ISBN 978 -
981-33-4641 -3.
3. Steve Kilts, “Advanced FPGA Design: Architecture, Implementation, and Optimization”, 2nd
Edition, 2000, Add ison Wesley Professional.
4. Jari Nurmi, “Processor Design: System -On-Chip Computing for ASICs and FPGAs”, Springer,
2007.
5. ALTERA,CYCLONE -V,TERASIC,DE1,XILINX -Zynq -7000,Microchip, polar Fire, Xilinx Virtex
Ultrascale, Xilinx Kintex Ultrascale, ALTERA ARRIA -10,
Reference Books:
1. Wayne Wolf, “FPGA -Based System Design”, Prentice Hall, Modern Semiconductor
Design Series, ISBN 0131424610.
2. Xilinx Technical Reference Manual,”Zynq Ultra Scale + Device”, UG 1085 (v2.2) December 4,
2020.
3. Ricardo Reis, “Design of System on a Chip: Devices and Components”, 1st Edition, 2004, Springer

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4. Jason Andrews, “Co -Verification of Hardware and Software for ARM System on Chip Design
(Embedded Technology)”, Newnes, BK and CDROM.
5. Prakash Rashinkar , Peter Paterson and Leena Singh L, “System on Chip Verification –
Methodologies and Techniques”, 2001, Kluwer Academic Publishers.
Internal Assessment (IA):
Two tests must be conducted which should cover at least 80% of syllabus. The average marks of both the
test will be considered as final IA marks

End Semester Examination:
1. Question paper will consist of 6 questions, each of 20 marks.
2. Total 4 questions need to be solved.
3. Question No.1 will be compulsory and based on entire syllabus wherein sub questions of 2 to 5
marks will be asked.
4. Remaining questions will be selected from all the modules

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Course Code Course Name Teaching Scheme (Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total

ELXDLO
2021 Advanced
Processor
Architectures -II
03
---
---
03
---
---
03


Course Code Course Name Examination
Scheme
Theory Marks

Term
Work
Practical
Oral
Total Internal Assessment End
Sem
Exam Test
1 Test
2 Average
ELXDLO
202 1 Advanced
Processor
Architectures -II
20
20
20
80
---
---
---
100



Module
No. Unit
No. Topics Hrs.


1 Computer Architecture Fundamentals

06 1.1 A top Level View of Computer functions and Interconnections
1.2 Computer Components, Architecture organization
1.3 Concepts and Ways of Parallelism
1.4 Domain -Specific Processors and Application Specific Processors
1.5 Design Considerations


2 Processor Design Flow

06 2.1 Capturing requirements, Instruction coding
2.2 Exploration of Architecture Organizations
2.3 Hardware and Software Development
2.4 Software tools and libraries
Memory
Course Pre-requisites: -
1. Computer Organization & Processor Architectures

Course Objectives: -
1. To outline the various factors those contribute to system design
2. To understand the design flow of application specific processors
3. To elaborate on the importance of VLIWDSP processors & soft-core processors
4. To analyze issues & pitfalls in reconfigurable processor design with FPGA

Course Outcomes: -
1. Ability to explain various types of processors & their design flow in detail
2. Ability to describe various concepts of VLIWDSP processors & soft-core processors
3. Ability to analyze the issues in VLIWDSP processor design

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3 3.1 Semiconductor Memories SRAM, DRAM and organization

06 3.2 Principles of Cache memory, Cache Design
3.3 Cache Coherency, MESI Protocol
3.4 RAID


4 I/O, Peripherals and Operating System

06 4.1 Types of I/Os, I/O Interfacing concepts
4.2 PCI, PCI-X, PCI-E
4.3 Universal Serial Bus(USB)
4.4 Operating System Overview, Scheduling
4.5 Memory Management in Operating Systems


5 VLIW DSP Processor
07 5.1 DSP Processor Architecture, DSP-specific requirements
5.2 Micro architectural concepts
5.3 VLIW and SW programmability
5.4 Application specific adaptable core Architecture
5.5 Design space Exploration, Complexity of Configurability


6 Soft-Core Processors

08 6.1 Processor Customization
6.2 Microprocessor cores in SOC design, Difference between Microprocessor and SOC
6.3 Reconfigurable processors with FPGA
6.4 Case study of Reconfigurable structure
6.5 Pitfalls in VLIW Architectures
TOTAL 39

Refe ference Books: -
1. William Stallings, “Computer Organization and Architecture:
Designing for Performance”, Eighth Edition, Pearson Publications.
2. Jari Nurmi, “Processor Design: System -on-Chip Computing for ASICs
and FPGAs”, Springer.
3. Daniel Tabak, Advanced Microprocessors, Second Edition, McGraw -Hill Publications.
4. Hennessy JL, Patterson DA (2003) Computer Architecture: A Quantitative
Approach.3rd edition. Elsevier Morgan Kaufmann, San Francisco
Research Publications: -
1. Andrea Lodi, Mario Toma, “A VLIW Processor with a Reconfigurable
Instruction Set for Embedded Applications”, IEEE Journal Of Solid -State
Circuits, Vol. 38, No. 11, November2003,pp -1876 -1886.
2. Lodi A, Cappelli A, Bocchi M, Mucci C, “XiSystem: A XiRisc -based SoC
with a Reconfigurable I/O Module”, IEEE Journal of Solid -State Circuits
(JSSC), 2006, Vol.41, No.1, pp-85–96.
Internal Assessment (IA): -
Two tests must be conducted which should cover at least 80% of syllabus. The average marks of two tests should be considered as
final IA marks
End Semester Examination: -
1. Question paper will comprise of 6 questions, each of 20marks.
2. Total 4 questions need to be solved.
3. Q No.1 will be compulsory and based on entire syllabus with sub-questions of 2 to 5marks.
4. Remaining questions will be selected from all the modules.

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Course Code

Course
Name Teaching Scheme Credits Assigned

Theory
Practical
and Oral
Tutorial
Theory TW/
Practical
and
Oral
Tutorial
Total

ELXDLO2022 Cloud
Computing
03
--
--
03
--
--
03




Course Code


Course
Name Examination Scheme
Theory Marks

Term
Work

Practical
and Oral


Total Internal assessment
End
Sem.
Exam
Exam
duration
Hours
Test
1
Test
2 Avg of
Test 1
and
Test 2
ELXDLO2022 Cloud
Computing
20
20
20
80
3
--
--
100


Module
No. Unit
No. Contents Hrs.
1 Introduction to the Cloud Computing 08
1.1 Defining Cloud Computing, Cloud and other similar configurations,
Components of Cloud, Cloud types: NIST and Cloud Cube Models, Cloud
Deployment Models and Service Models, Cloud computing architecture,
Advantages and Disadvantages of Cloud Computing.
1.2 Virtualization: Characteristics of virtualized environment, Understanding the
importance of Hypervisors, Type I & Type II Hypervisors, Taxonomy of
virtualization, Implementation Levels of Virtualization, Virtualization and Course Objectives:
1. Basics of cloud computing.
2. Key concepts of virtualization
3. Different cloud computing services
4. Cloud implementation, Programming and Mobile cloud computing
5. Key components of Amazon Web Services
6. Cloud security and privacy
Course Outcomes:
After successful completion of the course students will be able to:

1. Define cloud computing and memorize the different cloud service and deployment models.
2. Describe importance of virtualization along with their technologies.
3. Use and examine different cloud services.
4. Analyse the components of open stack and Google Cloud platform and understand Mobile Cloud computing.
5. Describe the key components of Amazon web service.
6. Understand cloud security and privacy.

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Cloud Computing, Pros and Cons of virtualization, Technology
Examples: KVM, Xen, Vmware and HyperV
2 2.1 Cloud Computing Services 04
SPI Model of Cloud computing, Anything as a service or Everything as a Service
(XaaS): Database as a Service,Storage as a Service, Security as a
Service,Collaboration as a Service, Compliance as a service, Monitoring as a
Service, Network as a Service, Disaster Recovery as a service, Identity
management as a Service, Analytics as a Service and Backup as a Service.

3 3.1 Amazon Web Service Cloud Platform 10
Introduction to the AWS Cloud, AWS coreservices by categories. Compute
Service: Introduction to EC2, EC2 Instances, EC2 Amazon Machine Images,
Instance Types, Instance Lifecycle.
Storage Service: Introducing S3, working with Buckets, setting bucket security,
S3 event and notification, bucket properties, working with Elastic Block Store
Volumes, Object Storage Vs Block Storage, Archives versus backups,
Introduction to Glacier.
Virtual Private Cloud: Introduction, Subnet, Elastic Network Interfaces, Internet
Gateways, Route Tables, Security Groups.
CloudWatch:Introduction, CloudWatch Metrics, CloudWatch Alarms. Database
as a Service: Introduction to Amazon Relational Database Service (RDS),
Database Engines, Database Instance Classes, Backup and Recovery, Non -
relational (No -SQL) Databases, Types ofNon -relational Databases, Introduction
to DynamoDB, Features, Partition and Hash Keys.

4 4.1 Cloud Implementation, Programming and Mobile Cloud Computing 06
Open Stack Cloud Architecture: Feature of Open stack, Components of Open
stack, mode of operations. Programming support for Google apps engine -GFS,
Bigtables, Chubby.
Mobile Cloud Computing: Definition, architecture, benefits and challenges of
mobile cloud computing
5 5.1 Introduction to Azure app services 03
REST essentials, .NET web API essentials, Comparison of AWS
services with other cloud services like Azure, Google cloud platform










6 6.1 Cloud Security and Privacy
What is security, why is it required in cloud computing, Different types of
security in cloud, attacks, and vulnerabilities, IaaS security, PaaS security, SaaS
security, trust boundary, Audit and reporting. Introduction to Identity and access
Management (IAM), IAM Challenges, IAM
Definition, IAM Architecture and Practice, Relevant IAM Standards and
Protocols for Cloud Services.
Privacy: What Is Privacy? What Are the Key Privacy Concerns in the
Cloud?, Legal and Regulatory Implications: Laws and Regulations,
Governance, Risk, and Compliance (GRC). 08
Total 39

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Text Books:
1. Barrie Sosinsky ,”Cloud Computing Bible”, Wiley Publication.
2. Kailash Jayaswal, Jagannath Kallalurchi, Donald J. Houde, Dr. Deven Shah, ”Cloud Computing
Black Book”, Dreamtech Press.
3. Joe Baron et.al ,”AWS certified solution Architect”, Sybex publication
4. Cloud security: A comprehensive guide to secure cloud computing by ronold L Krutz and Russell Dean
Vines, Wiley publication.

Internal Assessment (IA):

Two tests must be conducted which should cover at least 80% of syllabus. The average marks of both the
test will be considered as final IA marks

End Semester Examination:

1. Question paper will consist of 6 questions, each of 20 marks.
2. Total 4 questions need to be solved.
3. Question No.1 will be compulsory and based on entire syllabus wherein sub questions of 2 to 5
marks will be asked.
4. Remaining questions will be selected from all the modules

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Course Code Course Name Teaching Scheme (Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ELXDLO2023 Nano -electronics 03 --- --- 03 --- --- 03



Course Code

Course Name Examination
Scheme
Theory Marks
Term
Work
Practical
Oral
Total Internal Assessment End
Sem
Exam Test
1 Test
2 Average
ELXDLO2023 Nano -electronics 20 20 20 80 --- --- --- 100


Module
No. Unit
No. Topics Hrs.


1 Classical particles , classical waves and Quantum Particles

08 1.1 Introduction to Nanotechnology
1.2 Comparison of classical and Quantum System
1.3 Origins of Quantum Mechanics
1.4 Electron as particle , electron as wave
1.5 Wave packets and uncertainty



2 Quantum Mechanics of Electron


08 2.1 General Postulates of Quantum Mechanics
2.2 Time Independent Schrodinger ‘s equation
2.3 Free electron: One dimensional and three dimensional space, Free electron Gas
theory of metals Course Pre-requisites: -
1. MOSFET & Microelectronic Concepts
2. Quantum Mechanics

Course Objectives: -
1. To learn fundamental concepts of nanoelectronics including single electron effects & electron transport in
nanoscopic system
2. To learn the concept of the quantum dot, the quantum wire, quantum well & nano applications of these structures
3. To gain knowledge on SET & carbon nano tubes in design of transistors
4. To learn basics of ballistics transport & spintronics

Course Outcomes: -
1. Ability to explain concepts of nanoelectronics including single electron effects & electron transport in
nanoscopic system
2. Ability to describe concept of the quantum dot, the quantum wire, quantum well & nano applications of the
sestructures
3. Ability to describe various new structures like CNTFET & SET
4. Ability to describe basic of spintronics &spin based devices

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2.5 Partially confined electron. Finite potential well: Finite potential rectangular well,
Parabolic well, Triangular well
2.6 Quantum Dot, Wires and wells


3 Single Electron and few Electron Phenomena and devices

08 3.1 Tunneling junctions and application of tunneling
3.2 Coulomb Blockade and The single Electron Transistor
3.3 Resonant Tunneling Diodes - principle and applications
3.4 Carbon Nanotube Transistor(FETs and SETs), Semiconductor Nanowire FETs and SETs
3.5 Molecular SETs and Molecular Electronics


4 Model of Semiconductor Quantum Wells, Quantum Wires and Quantum Dots

07 4.1 Particles Statistics and density of states
4.2 Semiconductor heterostructures and QuantumWell
4.3 Quantum Wires and Nanowire
4.4 Fabrication Techniques for Nanostructures


5 Ballistic Transport , and Spin Transport

08 5.1 Ballistic Transport: Electron collision and length scale, Ballistic Transport Model
,Quantum Resistance and conductance
5.1 Spin Vs charge, AMR, GMR, TMR , The transport of spin
5.2 Spin devices - Spin valves, Magnetic
tunnel junctions,
5.3 Applications – Memories (MRAM, STRAM), Logic device and Microwave
Oscillators

Reference Books: -
1. George W. Hanson “ Fundamental of Nanoelectronics”, PEARSON
2. Rainer Waser, “Nano Electronics and Information Technology: Advanced Electronic Materials and Novel
Devices”, 2nd Edition, Wiley -VCH, 2012.
3. Chonles P. Poole Jr., Frank. J. Owens, “Introduction to Nanotechnology”, John Wiley and Sons, 2009.
4. T. Pradeep, “Nano: The essentials”, Tata McGraw Hill, 2007.
5. Mark A. Ratner, Danill Ratner, “Nano Technology: A Gentle Introduction to the Next Big Idea”, Prentice Hall,
2003
6. Springer Handbook of Nanotechnology ISBN:978 -3-540-35172 -6
Research Publications: -
1. Leland Chang, Yang -Kyu Choi, Daewon Ha, Pushkar Ranade, Shiying Xiong, Jeffrey Bokor, “Extremely Scaled
Silicon Nano -CMOS Devices”, PROCEEDINGS OF THE IEEE, VOL. 91, NO. 11, NOVEMBER 2003, pp -1860 -
1873.
2. Thomas Skotnicki, James A. Hutch by, Tsu-Jae King, H. -S. Philip Wong, and Frederic Boeuf, ”The End of CMOS
Scaling”, IEEE CIRCUITS & DEVICES MAGAZINE, January2005,pp -16-26.

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Internal Assessment (IA):
Two tests must be conducted which should cover at least 80% of syllabus. The average marks of two tests should be considered
as final IA marks.
End Semester Examination: -
1. Question paper will comprise of 6 questions, each of 20 marks.
2. Total 4 questions need to be solved.
3. Q 1 will be compulsory and based on entire syllabus with sub-question of 2-5 marks
4. Remaining questions will be selected from all the modules.

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Course
Code Course Name Teaching Scheme (Hrs) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ELX DLO
2024 Advanced
Digital
Signal
Processing
3 - - 3 - - 3

Course
Code Course
Name Examination Scheme
Theory Marks
Internal assessment End
Sem.
Exam Term
Work Practical Oral Total Test
1 Test 2 Avg. Of
Test 1 &
Test 2
ELX DLO
2025
Advanced
Digital
Signal
Processing 20 20 20 80 - - - 100

Module
No. Unit
No Topics Hrs

01 Introduction and Review 04
1.1
Basic DSP examples in block diagrams, Typical DSP in real world
applications. 02

1.2 Review of FIR & IIR filters, Sampling and Reconstruction of signals, Analog
to digital and Digital to analog conversions. 02
02 Multirate Digital Signal Processing 12
2.1
Introduction, Decimation by a factor D, Interpolation by a factor I,
Sampling rate c onversion by a rational factor I/D . 03
2.2 Implementation of sampling rate conversion, Multistage implementation of
sampling rate conversion. 03 Course Pre-requisites :
Signals and Systems, Digital Signal Processing, Probability and Random processes.
Course Objectives:
1. To understand DSP techniques in different fields of modern day applications.
2. To study multirate DSP algorithms and filter bank analysis for real world applications.
3. To develop a solid foundation in linear prediction analysis and optimum filtering concepts.
4. To learn thoroughly LMS and RLS algorithms which are at the heart of the adaptive systems.
5. To gain deep insight into spectrum estimation algorithms.
Course Outcomes:
Students will be able to
1. Apply multirate processing techniques in practical applications.
2. Design optimum filters suited for different applications.
3. Design and simulate adaptive systems.
4. Extract information from spectral analysis of signals.
5. Design and test signal processing algorithms for various tasks.

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2.3 Sampling rate conversion of band pass signal, sampling rate conversion by
arbitrary factor, Applications of multirate signal processing. 03
2.4 Digital filter banks, Two channel Quadrature Mirror filter banks. 03
03 Linear Prediction and Optimum filters 07
3.1
Random signals, Correlation functions, Power Spectra, Innovations
representation of a Stationary random Process 03
3.2 Forward and Backward Linear predictions. 02
3.3 Solution of Normal equations. The Levinson -Durbin Algorithm. 02
04 Adaptive Digital Filters 06
4.1

FIR adaptive filters.
Steepest descent adaptive filter, LMS algorithms, Normalized LMS,
Application in noise cancellation. 04
4.2 Adaptive Recursive filters. 02
05 Power Spectrum Estimation 06
5.1 Estimation of spectra from finite duration observations of signals. 02
5.2 Nonparametric methods for power spectrum estimation. 02
5.3 Parametric methods for power spectrum estimation. 02
06 Applications of DSP 04
6.1 Biomedical applications, ECG signal analysis, QRS template, QRS detection
methods etc. 02
6.2 Speech processing applications, Wideband and narrowband spectrograms. 02
Total 39
Reference Books:
1. Digital Signal Processing Principles, algorithms and applications, John. G. Proakis , D.G.Manolakis. 4/e,
Pearson.
2. Digital Signal Processing, A Practical approach. Emmanuel .C. Ifeachor B.W.Jervis. Pearson.
3. Digital Signal Processing. A computer based approach, S.K.Mitra, Tata Mc Graw Hill.
4. Statistical Digital Signal Processing, Monson . H .HAYES, Wiley India.
5. Introduction to Digital Speech Processing, L. R Rabiner & R.W Schafer, Pearson.
6. Discrete time Signals Processing, Oppenheim & Schaffer, Pearson.
Recommended Research Papers for Reading:
1. P. Vaidyanathan (1990). ”Multirate Digital filters, Filter banks, Polyphase network and applications: A
tutorial” Proc. IEEE vol 78, No 1, pp 56 -90.
2. Schoeder M. R (1985) “Linear predictive coding of speech: Review and current directions” IEEE Commun.
Mag vol 23 , pp 54 -61
3. Widrow.B (1975) “Adaptive noise cancelling, Principles and Applications” Proc IEEE, vol 63, pp 1692 -1716
4. Widrow B (1976 ) “ Stationary and Non stationary characteristics of the LMS adaptive filter” Proc IEEE , vol
64,pp 1151 -1162
5. Thomson D. J (1969) “ Spectral est imation & Harmonic analysis” Proc IEEE vol 70, pp 1055 -1096

Internal Assessment (IA):
Two tests must be conducted which should cover at least 80% of the syllabus . The average marks of both the test will
be considered as final IA marks
End Semester Examina tion:
1. Question paper will comprise 6 questions, each of 20 marks.
2. Total 4 questions need to be solved.
3. Question No.1 will be compulsory and based on entire syllabus wherein sub questions of 2 to 5 marks will
be asked.
4. Remaining questions will be selected from all the modules

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Course
Code Course
Name Teaching Scheme Credits Assigned
Theory Practical
and Oral Tutorial Theory TW/Practical
and Oral Tutorial Total

ELXDLO
2025
Deep
Learning
and
Computer
Vision
03
--
--
03
--
--
03

Course Code Course
Name Examination Scheme
Theory Marks
Term
Work Practical
and Oral Total Internal assessment
End
Sem.
Exam Exam
duration
Hours Test
1 Test
2 Avg of
Test 1
and
Test 2

ELXDLO
2026
Deep
Learning
and
Computer
Vision 20 20 20 80 3 -- -- 100

Course Objectives:

By the end of the course, students will be able to ;

1. Review image processing techniques for computer vision
2. Understand shape , region analysis and will able to detect lines, circles , ellipses .
3. Understand complexity of Deep Learning algorithms and their limitations .
4. Understand modern notions in data analysis oriented computing
5. Chose appropriate algorithms of Deep Learning .
6. Perform experiments in Deep Lea rning using real -world data.


Course Outcomes:

After successful completion of the course students will be able to:

1. Learn the scope of Image processing and Computer Vision
2. Analysis the different image analysis techniques for obtaining features of Image
3. Use Tensor Flow for building and testing deep learning models
4. Interpret the fundamental concepts of artificial neural networks and use of activation functions
5. Design and implement CNN and RNN architectures and use them as per applications
6. Build Deep Learning models in real time applications and interpret the results

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Module
No. Unit
No. Contents Hrs.
1 Introduction to Computer Vision: 06
1.1 Introduction and history of computer vision, Computer imaging systems, lenses,
Image formation and sensing.
1.2 Image analysis, pre -processing, Binary image analysis, thresholding.
2 Feature Extraction: 06
2.1 Edge detection methods and its performance, Hough transform, Segmentation,
Morphological filtering, Fourier transform and convolution.
2.2 Feature extraction, shape, histogram, color, spectral, texture, Feature analysis,
feature vectors.
3 Introduction to Deep learning: 08
3.1 Supervised learning, Unsupervised learning, TensorFlow, Computational Graph
theory.
3.2 Regression, Gradient Descent, Tensor Board, Modularity, Sharing Variables,
Keras.
4 Activation Functions: 10
4.1 Sigmoid, ReLU, Softmax .
4.2 Artificial Neural Networks : Introduction, Perceptron Training Rule, Gradient
Descent Rule.
4.3 Gradient Descent and Backpropagation: Gradient Descent, Stochastic Gradient
Descent, Backpropagation algorithm, Examples of ANN
5 Introduction to Convolutional Neural Networks: 09
5.1 Introduction to CNNs, Kernel filter, Principles behind CNNs, Multiple Filters,
CNN applications.
5.2 Introduction to Recurrent Neural Networks: Introduction to RNNs, Unfolded
RNNs, Seq2Seq RNNs, LSTM, RNN applications .
5.3 Deep Learning applications: Image Processing, Speech Recognition, Video
Analytics.
Total 39

Text Books:
1. D. H. Ballard & C. M. Brown, “Computer Vision” Prentice Hall
2. “Computer Vision: Algorithms and Applications ”, Richard Szeliski.
3. Goodfellow, I., Bengio Y., and Courville A., “Deep learning”, MIT Press.
Reference Books:
1. R. C. Gonzalez & P. Wintz. “Digital Image Processing”.
2. Richard Hartley and Andrew Zisserman “Multiple View Geometry in Computer Vision ”, 2nd edition
3. Aurelien Geron “Hands -on Machine Learning with Scikit -Learn, Keras, and TensorFlow” 2nd edition.
Internal Assessment (IA):
Two tests must be conducted which should cover at least 80% of syllabus. The average marks of both the test will be
considered as fi nal IA marks
End Semester Examination:
1. Question paper will consist of 6 questions, each of 20 marks.
2. Total 4 questions need to be solved.
3. Question No.1 will be compulsory and based on entire syllabus wherein sub questions of 2 to 5 marks will
be asked.
4. Remaining questions will be selected from all the modules

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Course
Code Course
Name Teaching Scheme Credits Assigned
Theory Practical
and Oral Tutorial Theory TW/Practical
and Oral Tutorial Total

ELXDLO
2026
Modern
Operating
System
03
--
--
03
--
--
03

Course Code Course
Name Examination Scheme
Theory Marks
Term
Work Practical
and Oral Total Internal assessment
End
Sem.
Exam Exam
duration
Hours Test
1 Test
2 Avg of
Test 1
and
Test 2

ELXDLO
2027
Modern
Operating
System 20 20 20 80 03 -- -- 100

Prerequisite: Operating System
Course Objectives:
1 To learn the architectural differences and issues related to Operating System.
2 To get a comprehensive knowledge of the distributed systems and Real time operating
system
3 To get a thorough knowledge of database operating systems and cloud operating System.
Course Outcomes: At the end of the course student should be able to
1 Apply the principles and concepts in analyzing and designing Operating System.
2 Demonstrate the Mutual exclusion, Deadlock detection and agreement protocols of
Distributed operating system
3 Analyze the performance and reliability of different Operating Systems.
4 Analyze and solve concurrency control problems in database operating system

Sr.
No. Module Detailed content Hours


1 Introduction Types of Operating Systems.
Architectures and design issues of Network operating system, DOS,
Middleware, RTS, DBOS.
Introduction to process, Concurrent processes, Critical Section problems,
other synchronization problems.

04

2 Distributed
operating
Systems,
Scheduling and Scheduling: Issues in load distributing, Components of load distributing
algorithms, Stability, Load distributing algorithms, Performance Comparison,
selecting a suitable
load sharing Algorithm.
09

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synchronization Synchronization: Physical and logical clocks.
Distributed Mutual Exclusion: Introduction, Classification of Mutual Exclusion
algorithms, Mutual Exclusion Algorithms.
Distributed Deadlock: Introduction, deadlock handling strategies, Deadlock
detection: Issues and resolution, Control Organizations, Centralized algorithms,
Distributed algorithms, Hierarchical algorithms.



3 Distributed Fault
Handling Agreement Protocol: System Model, Classification, Solution to Byzantine
Agreement Problem.
Fault Recovery: Concepts, Classification of failures, Backward error recovery,
Recovery in concurrent Systems, Consistent Check Points, Synchronous and
Asynchronous check pointing and recovery.
Fault tolerance: Issues, Atomic actions and committing,
Commit Protocols, Non-blocking Commit protocols, Voting protocols and
Dynamic Voting Protocols.


08



4
Real Time
Operating
Systems Types of Real time tasks, Timing Constraints, Modeling Timing Constraints.
Task Scheduling: Types of tasks and their characteristics, Task Scheduling,
Clock driven Scheduling, Hybrid Schedulers, Event driven Scheduling, EDF
Scheduling, Rate Monotonic Algorithm
Resource Handling: Resource Sharing, Priority Inversion, PIP, PCP, HLP.
Scheduling real time tasks in distributed systems


09



5

Database
Operating systems Concurrency control: Database systems, Concurrency control model of
database systems, Problem of Concurrency Control, serializability theory,
Distributed Database Systems
Concurrency Control Algorithms: Basic synchronization Algorithms, Lock
based, Timestamp based and Optimistic Algorithms,
Concurrency Control Algorithms : Data Replication


04

6
Case Study DOS: Mach, Amoeba
RTOS: UNIX as RTOS, Windows as RTOS. Mobile OS.
Cloud OS
04
Total 39

Text books:
1. Mukesh Singhal, Niranjan G.Shivaratri, "Advanced concepts in operating systems: Distributed,
Database and multiprocessor operating systems" MC Graw Hill education.
2. Rajib Mall, “Real -Time Systems: Theory and Practice”, Pearson education.
Reference Books:
1. Andrew S.Tanenbaum, "Modern Systems Principles and Paradigms". PHI.
2. Pradeep K.Sinha, "Distributed Operating System -Concepts and design", PHI.
3. Andrew S.Tanenbaum, "Distributed Operating System", Pearson Education.
4. Jane W. S. Liu, “Real Time Systems”, Pearson education .

Internal Assessment: Assessment consists of two tests out of which; one should be compulsory class test (on
minimum 02 Modules) and the other is either a class test or assignment on live problems or course project.
Theory Examination:
1. Question paper will comprise of total six question
2. All question carries equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part (b)
will be from any module other than module 3)
4. Only Four -question need to be solved.

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Course
Code Course Name Teaching scheme Credit assigned
ILO2 021 Project Management
(abbreviated as PM) Theory Pract. Tut. Theory Pract. Tut. Total
3 - - 3 - - 3

Course
Code Course Name Examination scheme
Theory (out of 100)
Term
work Pract.
and
Oral Oral Total Internal Assessment End
sem
Exam Test1 Test2 Avg.
ILO2 021 Project
Management 20 20 20 80 - - - 100

Course
Objectives  To familiarize the students with the use of a structured methodology/approach for
each and every unique project undertaken, including utilizing project management
concepts, tools and techniques.
 To appraise the students with the project management life cycle and make them
knowledgeable about the various phases from project initiation through closure.
Course
Outcomes Student will be able to…

1. Apply selection criteria and select an appropriate project from different options.
2. Write work break down structure for a project and develop a schedule based on it.
3. Identify opportunities and threats to the project and decide an approach to deal with
them strategically.
4. Use Earned value technique and determine & predict status of the project.
5. Capture lessons learned during project phases and document them for future
reference

Module Contents Hours
1 Project Management Foundation: Definition of a project, Project Vs Operations,
Necessity of project management, Triple constraints, Project life cycles (typical &
atypical) Project phases and stage gate process. Role of project manager.
Negotiations and resolving conflicts. Project management in various organization
structures. PM knowledge areas as per Project Management Institute (PMI). 5
2 Initiating Projects: How to get a project started, Selecting project strategically,
Project selection models (Numeric /Scoring Models and Non-numeric models),
Project portfolio process, Project sponsor and creating charter; Project proposal.
Effective project team, Stages of team development & growth (forming, storming,
norming & performing), team dynamics. 6
3 Project Planning and Scheduling: Work Breakdown structure (WBS) and linear
responsibility chart, Interface Co-ordination and concurrent engineering, Project
cost estimation and budgeting, Top down and bottoms up budgeting, Networking
and Scheduling techniques. PERT, CPM, GANTT chart. Introduction to Project
Management Information System (PMIS). 8

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4 Planning Projects: Crashing project time, Resource loading and leveling,
Goldratt's critical chain, Project Stakeholders and Communication plan. Risk
Management in projects: Risk management planning, Risk identification and risk
register. Qualitative and quantitative risk assessment, Probability and impact
matrix. Risk response strategies for positive and negative risks 6
5 Executing Projects: Planning monitoring and controlling cycle. Information needs
and reporting, engaging with all stakeholders of the projects. Team management,
communication and project meetings.
Monitoring and Controlling Projects: Earned Value Management techniques for
measuring value of work completed; Using milestones for measurement; change
requests and scope creep. Project audit.
Project Contracting Project procurement management, contracting and outsourcing, 8
6 Project Leadership and Ethics: Introduction to project leadership, ethics in
projects. Multicultural and virtual projects.
Closing the Project: Customer acceptance; Reasons of project termination,
Various types of project terminations (Extinction, Addition, Integration,
Starvation), Process of project termination, completing a final report; doing a
lessons learned analysis; acknowledging successes and failures; Project
management templates and other resources; Managing without authority; Areas of
further study. 6

Books Recommended:

Reference Books:
1. Jack Meredith & Samuel Mantel, Project Management: A managerial approach, Wiley India,
7thEd.
2. A Guide to the Project Management Body of Knowledge (PMBOK ® Guide), 5th Ed, Project
Management Institute PA, USA
3. Gido Clements, Project Management, Cengage Learning.
4. Gopalan, Project Management, , Wiley India
5. Dennis Lock, Project Management, Gower Publishing England, 9 th Ed.

Assessment:
Internal Assessment consists of two tests out of which; one should be compulsory class test and the other is
either a class test or assignment on live problems or course project.

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional to
number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part(a) from module 3 then part (b)
will be from any module other than module 3)
4. Only Four -question need to be solved.

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Course
Code Course Name Teaching scheme Credit assigned
ILO2 022 Finance
Management
(abbreviated as FM) Theory Pract. Tut. Theory Pract. Tut. Total
3 - - 3 - - 3

Course
Code Course Name Examination scheme
Theory (out of 100)
Term
work Pract.
and
Oral Oral Total Internal Assessment End
sem
Exam Test1 Test2 Avg.
ILO2 022 Finance
Management 20 20 20 80 - - - 100


Course
Objectives  Overview of Indian financial system, instruments and market
 Basic concepts of value of money, returns and risks, corporate finance, working
capital and its management
 Knowledge about sources of finance, capital structure, dividend policy
Course
Outcomes Student will be able to…

1. Understand Indian finance system and corporate finance
2. Take investment, finance as well as dividend decisions

Module Contents Hours
1 Overview of Indian Financial System: Characteristics, Components and
Functions of Financial System. Financial Instruments: Meaning, Characteristics
and Classification of Basic Financial Instruments — Equity Shares, Preference
Shares, Bonds -Debentures, Certificates of Deposit, and Treasury Bills. Financial
Markets: Meaning, Characteristics and Classification of Financial Markets —
Capital Market, Money Market and Foreign Currency Market. Financial
Institutions: Meaning, Characteristics and Classification of Financial Institutions
— Commercial Banks, Investment -Merchant Banks and Stock Exchanges 6
2 Concepts of Returns and Risks: Measurement of Historical Returns and
Expected Returns of a Single Security and a Two-security Portfolio; Measurement
of Historical Risk and Expected Risk of a Single Security and a Two-security
Portfolio.
Time Value of Money: Future Value of a Lump Sum, Ordinary Annuity, and
Annuity Due; Present Value of a Lump Sum, Ordinary Annuity, and Annuity
Due; Continuous Compounding and Continuous Discounting. 6
3 Overview of Corporate Finance: Objectives of Corporate Finance; Functions of
Corporate Finance —Investment Decision, Financing Decision, and Dividend
Decision.
Financial Ratio Analysis: Overview of Financial Statements —Balance Sheet, 9

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Profit and Loss Account, and Cash Flow Statement; Purpose of Financial Ratio
Analysis; Liquidity Ratios; Efficiency or Activity Ratios; Profitability Ratios;
Capital Structure Ratios; Stock Market Ratios; Limitations of Ratio Analysis.
4 Capital Budgeting: Meaning and Importance of Capital Budgeting; Inputs for
Capital Budgeting Decisions; Investment Appraisal Criterion —
Accounting Rate of Return, Payback Period, Discounted Payback Period, Net
Present Value(NPV), Profitability Index, Internal Rate of Return (IRR), and
Modified Internal Rate of Return (MIRR) Working Capital Management:
Concepts of Meaning Working Capital; Importance of Working Capital
Management; Factors Affecting an Entity‘s Working Capital Needs; Estimation
of Working Capital Requirements; Management of Inventories; Management of
Receivables; and Management of Cash and Marketable Securities. 10
Books Recommended:
Reference Books:
1. Fundamentals of Financial Management, 13th Edition (2015) by Eugene F. Brigham and Joel F.
Houston; Publisher: Cengage Publications, New Delhi.
2. Analysis for Financial Management, 10th Edition (2013) by Robert C. Higgins; Publishers:
McGraw Hill Education, New Delhi.
3. Indian Financial System, 9th Edition (2015) by M. Y. Khan; Publisher: McGraw Hill Education,
New Delhi.
4. Financial Management, 11th Edition (2015) by I. M. Pandey; Publisher: S. Chand (G/L) &
Company Limited, New Delhi.
Assessment:
Internal Assessment consists of two tests out of which; one should be compulsory class test and the other is
either a class test or assignment on live problems or course project.
End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional
to number of respective lecture hours as mention in th e syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part(a) from module 3 then part (b)
will be from any module other than module 3)
4. Only Four question need to be solved.

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Course
Code Course Name Teaching scheme Credit assigned
ILO2 023 Entrepreneurship
Development and
Management
(abbreviated as
EDM) Theory Pract. Tut. Theory Pract. Tut. Total
3 - - 3 - - 3

Course
Code Course Name Examination scheme
Theory (out of 100)
Term
work Pract.
and
Oral Oral Total Internal Assessment End
sem
Exam Test1 Test2 Avg.

ILO2 023 Entrepreneurship
Development and
Management 20 20 20 80 - - - 100

Course
Objectives  To acquaint with entrepreneurship and management of business
 Understand Indian environment for entrepreneurship
 Idea of EDP, MSME

Course
Outcomes Student will be able to…
1. Understand the concept of business plan and ownerships
2. Interpret key regulations and legal aspects of entrepreneurship in India
3. Understand government policies for entrepreneurs

Module Contents Hours
1 Overview Of Entrepreneurship: Definitions, Roles and Functions/Values of
Entrepreneurship, History of Entrepreneurship Development, Role of
Entrepreneurship in the National Economy, Functions of an Entrepreneur,
Entrepreneurship and Forms of Business Ownership
Role of Money and Capital Markets in Entrepreneurial Development:
Contribution of Government Agencies in Sourcing information for
Entrepreneurship 4
2 Business Plans And Importance Of Capital To Entrepreneurship: Preliminary
and Marketing Plans, Management and Personnel, Start -up Costs and Financing
as well as Projected Financial Statements, Legal Section, Insurance, Suppliers
and Risks, Assumptions and Conclusion, Capital and its Importance to the
Entrepreneur
Entrepreneurship And Business Development: Starting a New Business, Buying
an Existing Business, New Product Development, Business Growth and the
Entrepreneur Law and its Relevance to Business Operations 9
3 Women‘s Entrepreneurship Development, Social entrepreneurship -role and need,
EDP cell, role of sustainability and sustainable development for SMEs, case
studies, exercises 5

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4 Indian Environment for Entrepreneurship: key regulations and legal aspects ,
MSMED Act 2006 and its implications, schemes and policies of the Ministry of
MSME, role and responsibilities of various government organisations,
departments, banks etc., Role of State governments in terms of infrastructure
developments and support etc., Public private partnerships, National Skill
development Mission, Credit Guarantee Fund, PMEGP, discussions, group
exercises etc 8
5 Effective Management of Business: Issues and problems faced by micro and
small enterprises and effective management of M and S enterprises (risk
management, credit availability, technology innovation, supply chain
management, linkage with large industries), exercises, e- Marketing 8
6 Achieving Success In The Small Business: Stages of the small business life
cycle, four types of firm-level growth strategies, Options – harvesting or closing
small business Critical Success factors of small business 5

Books Recommended:
Reference Books:

1. Poornima Charantimath, Entrepreneurship development - Small Business Enterprise, Pearson
2. Education Robert D Hisrich, Michael P Peters, Dean A Shapherd, Entrepreneurship, latest
edition, The McGrawHill Company
3. Dr TN Chhabra, Entrepreneurship Development, Sun India Publications, New Delhi
4. Dr CN Prasad, Small and Medium Enterprises in Global Perspective, New century Publications,
New Delhi
5. Vasant Desai, Entrepreneurial development and management, Himalaya Publishing House
6. Maddhurima Lall, Shikah Sahai, Entrepreneurship, Excel Books
7. Rashmi Bansal, STAY hungry STAY foolish, CIIE, IIM Ahmedabad
8. Law and Practice relating to Micro, Small and Medium enterprises, Taxmann Publication Ltd.
9. Kurakto, Entrepreneurship - Principles and Practices, Thomson Publication
10. Laghu Udyog Samachar
11. www.msme.gov.in
12. www.dcmesme.gov.in
13. www.msmetraining.gov.in

Assessment:
Internal Assessment consists of two tests out of which; one should be compulsory class test and the other is
either a class test or assignment on live problems or course project.
End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional
to number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal ma rks
3. Questions will be mixed in nature (for example supposed Q.2 has part(a) from module 3 then part (b)
will be from any module other than module 3)
4. Only Four question need to be solved.

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Course
Code Course Name Teaching scheme Credit assigned

ILO2 024 Human Resource
Management
(abbreviated as
HRM) Theory Pract. Tut. Theory Pract. Tut. Total
3 - - 3 - - 3

Course
Code Course Name Examination scheme
Theory (out of 100)
Term
work Pract.
and
Oral Oral Total Internal Assessment End
sem
Exam Test1 Test2 Avg.
ILO2 024 Human Resource
Management 20 20 20 80 - - - 100






Course
Objectives  To introduce the students with basic concepts, techniques and practices of the human
resource management.
 To provide opportunity of learning Human resource Management (HRM) processes,
related with the functions, and challenges in the emerging perspective.
 To familiarize the students about the latest developments, trends & different aspects of
HRM.
 To acquaint the student with the importance of behavioral skills, Inter- personal, inter-
group in an organizational setting.
 To prepare the students as future organizational change facilitators, stable leaders and
managers, using the knowledge and techniques of human resource management.




Course
Outcomes Learner will be able to…
1. Gain knowledge and understand the concepts about the different aspects of the human
resource management.
2. Understand and tackle the changes and challenges in today‘s diverse, dynamic
organizational setting and culture.
3. Utilize the behavioral skill sets learnt, in working with different people, teams &
groups within the national and global environment.
4. Apply the acquired techniques, knowledge and integrate it within the engineering/ non
engineering working environment emerging as future engineers and managers.

Module Contents Hours
1 Introduction to HR: Human Resource Management - Concept, Scope and
Importance, Interdisciplinary Approach Relationship with other Sciences,
Competencies of HR Manager, HRM functions. Human resource development
(HRD): changing role of HRM – Human resource Planning, Technological change,
Restructuring and rightsizing, Empowerment, TQM, Managing ethical issues. 05
2 Organizational Behavior (OB) : Introduction to OB Origin, Nature and Scope of
Organizational Behavior, Relevance to Organizational Effectiveness and 07

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Contemporary issues, Personality: Meaning and Determinants of Personality,
Personality development, Personality Types, Assessment of Personality Traits for
Increasing Self Awareness, Perception: Attitude and Value, Effect of perception on
Individual Decision -making, Attitude and Behavior. Motivation: Theories of
Motivation and their Applications for Behavioral Change (Maslow, Herzberg,
McGregor); Group Behavior and Group Dynamics: Work groups formal and
informal groups and stages of group development. Team Effectiveness: High
performing teams, Team Roles, cross functional and self-directed team. Case study
3 Organizational Structure & Design: Structure, size, technology, Environment
of organization; Organizational Roles & conflicts: Concept of roles; role dynamics;
role conflicts and stress. Leadership: Concepts and skills of leadership, Leadership
and managerial roles, Leadership styles and contemporary issues in leadership.
Power and Politics: Sources and uses of power; Politics at workplace, Tactics and
strategies. 06
4 Human resource Planning: Recruitment and Selection process, Job- enrichment,
Empowerment - Job-Satisfaction, employee morale. Performance Appraisal
Systems: Traditional & modern methods, Performance Counseling, Career
Planning. Training & Development: Identification of Training Needs, Training
Methods 05
5 Emerging Trends in HR : Organizational development; Business Process Re-
engineering (BPR), BPR as a tool for organizational development , managing
processes & transformation in HR. Organizational Change, Culture, Environment,
Cross Cultural Leadership and Decision Making : Cross Cultural Communication
and diversity at work , Causes of diversity, managing diversity with special
reference to handicapped, women and ageing people, intra company cultural
difference in employee motivation. 06
6 HR & MIS: Need, purpose, objective and role of information system in HR,
Applications in HRD in various industries (e.g. manufacturing R&D, Public
Transport, Hospitals, Hotels and service industries Strategic HRM
Role of Strategic HRM in the modern business world, Concept of Strategy,
Strategic Management Process, Approaches to Strategic Decision Making;
Strategic Intent – Corporate Mission, Vision, Objectives and Goals
Labor Laws & Industrial Relations
Evolution of IR, IR issues in organizations, Overview of Labor Laws in India;
Industrial Disputes Act, Trade Unions Act, Shops and Establishments Act 10

Books Recommended:
Reference Books:

1. Stephen Robbins, Organizational Behavior, 16th Ed, 2013
2. V S P Rao, Human Resource Management, 3rd Ed, 2010, Excel publishing
3. Aswathapa, Human resource management: Text & cases, 6th edition, 2011
4. C. B. Mamoria and S V Gankar, Dynamics of Industrial Relations in India, 15th Ed, 2015,
Himalaya Publishing, 15thedition, 2015
5. P. Subba Rao, Essentials of Human Resource management and Industrial relations, 5th Ed, 2013,
Himalaya Publishing
6. Laurie Mullins, Management & Organizational Behavior, Latest Ed, 2016, Pearson Publications

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Assessment:

Internal Assessment consists of two tests out of which; one should be compulsory class test and the other is
either a class test or assignment on live problems or course project.

End Semester Theory Examination:

Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional
to number of respective lecture hours as mention in the syllabus.

1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part(a) from module 3 then par t (b)
will be from any module other than module 3)
4. Only Four question need to be solved.

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Course
Code Course Name Teaching scheme Credit assigned

ILO2 025 Professional Ethics
and Corporate
Social Responsibility
(abbreviated as
PECSR) Theory Pract. Tut. Theory Pract. Tut. Total
3 - - 3 - - 3

Course
Code Course Name Examination scheme
Theory (out of 100)
Term
work Pract.
and
Oral Oral Total Internal Assessment End
sem
Exam Test1 Test2 Avg.

ILO2 025 Professional Ethics
and Corporate
Social
Responsibility 20 20 20 80 - - - 100

Course
Objectives  To understand professional ethics in business
 To recognized corporate social responsibility

Course
Outcomes Student will be able to…
1. Understand rights and duties of business
2. Distinguish different aspects of corporate social responsibility
3. Demonstrate professional ethics
4. Understand legal aspects of corporate social responsibility

Module Contents Hours
1 Professional Ethics and Business: The Nature of Business Ethics; Ethical
Issues in Business; Moral Responsibility and Blame; Utilitarianism: Weighing
Social Costs and Benefits; Rights and Duties of Business 04
2 Professional Ethics in the Marketplace: Perfect Competition; Monopoly
Competition; Oligopolistic Competition; Oligopolies and Public Policy
Professional Ethics and the Environment: Dimensions of Pollution and
Resource Depletion; Ethics of Pollution Control; Ethics of Conserving Depletable
Resources 08
3 Professional Ethics of Consumer Protection: Markets and Consumer Protection;
Contract View of Business Firm‘s Duties to Consumers; Due Care Theory;
Advertising Ethics; Consumer Privacy
Professional Ethics of Job Discrimination: Nature of Job Discrimination; Extent
of Discrimination; Reservation of Jobs. 06

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4 Introduction to Corporate Social Responsibility: Potential Business Benefits —
Triple bottom line, Human resources, Risk management, Supplier relations;
Criticisms and concerns —Nature of business; Motives; Misdirection.
Trajectory of Corporate Social Responsibility in India 05
5 Corporate Social Responsibility: Articulation of Gandhian Trusteeship Corporate
Social Responsibility and Small and Medium Enterprises (SMEs) in India,
Corporate Social Responsibility and Public -Private Partnership (PPP) in India 08
6 Corporate Social Responsibility in Globalizing India: Corporate Social
Responsibility Voluntary Guidelines, 2009 issued by the Ministry of Corporate
Affairs, Government of India, Legal Aspects of Corporate Social Responsibility —
Companies Act, 2013. 08

Books Recommended:

Reference Books:
1. Business Ethics: Texts and Cases from the Indian Perspective (2013) by Ananda Das Gupta;
Publisher: Springer.
2. Corporate Social Responsibility: Readings and Cases in a Global Context (2007) by Andrew Crane,
Dirk Matten, Laura Spence; Publisher: Routledge.
3. Business Ethics: Concepts and Cases, 7th Edition (2011) by Manuel G. Velasquez; Publisher:
Pearson, New Delhi.
4. Corporate Social Responsibility in India (2015) by Bidyut Chakra barty, Routledge, New Delhi.

Assessment:

Internal Assessment consists of two tests out of which; one should be compulsory class test and the other is
either a class test or assignment on live problems or course project.

End Semester Theory Examination:

Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional
to number of respective lecture hours as mention in the syllabus.

1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part(a) from module 3 then part (b)
will be from any module other than module 3)
4. Only Four ques tion need to be solved.

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Course
Code Course Name Teaching scheme Credit assigned
ILO2 026 Research
Methodology
(abbreviated as RM) Theory Pract. Tut. Theory Pract. Tut. Total
3 - - 3 - - 3

Course
Code Course Name Examination scheme
Theory (out of 100)
Term
work Pract.
and
Oral Oral Total Internal Assessment End
sem
Exam Test1 Test2 Avg.
ILO2 026 Research
Methodology 20 20 20 80 - - - 100


Course
Objectives  To understand Research and Research Process
 To acquaint students with identifying problems for research and develop research
strategies
 To familiarize students with the techniques of data collection, analysis of data and
interpretation


Course
Outcomes Student will be able to…
1. Prepare a preliminary research design for projects in their subject matter areas
2. Accurately collect, analyze and report data
3. Present complex data or situations clearly
4. Review and analyze research findings

Module Contents Hours
1 Introduction and Basic Research Concepts: Research – Definition; Concept
of Construct, Postulate, Proposition, Thesis, Hypothesis, Law, Principle. Research
methods vs Methodology, Need of Research in Business and Social Sciences ,
Objectives of Research, Issues and Problems in Research, Characteristics of
Research: Systematic, Valid, Verifiable, Empirical and Critical 10
2 Types of Research: Basic Research, Applied Research, Descriptive Research,
Analytical Research, Empirical Research, Qualitative and Quantitative Approaches 08
3 Research Design and Sample Design : Research Design – Meaning, Types and
Significance, Sample Design – Meaning and Significance Essentials of a good
sampling Stages in Sample Design Sampling methods/techniques Sampling Errors 08
4 Research Methodology : Meaning of Research Methodology, Stages in Scientific
Research Process
a. Identification and Selection of Research Problem
b. Formulation of Research Problem
c. Review of Literature
d. Formulation of Hypothesis
e. Formulation of research Design 08

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f. Sample Design
g. Data Collection
h. Data Analysis
i. Hypothesis testing and Interpretation of Data
j. Preparation of Research Report
5 Formulating Research Problem: Considerations: Relevance, Interest, Data
Availability, Choice of data, Analysis of data, Generalization and Interpretation
of analysis 04
6 Outcome of Research: Preparation of the report on conclusion reached, Validity
Testing & Ethical Issues, Suggestions and Recommendation 04

Books Recommended:

Reference Books:
1. Dawson, Catherine, 2002, Practical Research Methods, New Delhi, UBS Publishers Distributors.
2. Kothari, C.R., 1985, Research Methodology -Methods and Techniques, New Delhi, Wiley Eastern
Limited.
3. Kumar, Ranjit, 2005, Research Methodology -A Step-by-Step Guide for Beginners, (2nded),
Singapore, Pearson Education

Assessment:
Internal Assessment consists of two tests out of which; one should be compulsory class test and the other is
either a class test or assignment on live problems or course project.
End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional
to number of respective lecture hours as mention in the syllabus.

1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part(a) from module 3 then part (b)
will be from any module other than module 3)
4. Only Four question need to be solved.

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Course
Code Course Name Teaching scheme Credit assigned
ILO2 027 IPR and Patenting
(abbreviated as
IPRP) Theory Pract. Tut. Theory Pract. Tut. Total
3 - - 3 - - 3

Course
Code Course Name Examination scheme
Theory (out of 100)
Term
work Pract.
and
Oral Oral Total Internal Assessment End
sem
Exam Test1 Test2 Avg.
ILO2 027 IPR and Patenting 20 20 20 80 - - - 100




Course
Objectives  To understand intellectual property rights protection system
 To promote the knowledge of Intellectual Property Laws of India as well as
International treaty procedures
 To get acquaintance with Patent search and patent filing procedure and
 Applications

Course
Outcomes Student will be able to…
1. understand Intellectual Property assets
2. assist individuals and organizations in capacity building
3. work for development, promotion, protection, compliance, and
enforcement of Intellectual Property and Patenting

Module Contents Hours
1 Introduction to Intellectual Property Rights (IPR) : Meaning of IPR, Different
category of IPR instruments - Patents, Trademarks, Copyrights, Industrial
Designs, Plant variety protection, Geographical indications, Transfer of technology
etc.
Importance of IPR in Modern Global Economic Environment: Theories of
IPR, Philosophical aspects of IPR laws, Need for IPR, IPR as an instrument of
development 05
2 Enforcement of Intellectual Property Rights: Introduction, Magnitude of
problem, Factors that create and sustain counterfeiting/piracy, International
agreements, International organizations (e.g. WIPO, WTO) activein IPR
enforcement
Indian Scenario of IPR: Introduction, History of IPR in India, Overview of IP
laws in India, Indian IPR, Administrative Machinery, Major international treaties
signed by India, Procedure for submitting patent and Enforcement of IPR at
national level etc. 07
3 Emerging Issues in IPR: Challenges for IP in digital economy, e- commerce,
human genome, biodiversity and traditional knowledge etc. 06

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4 Basics of Patents: Definition of Patents, Conditions of patentability, Patentable
and non-patentable inventions, Types of patent applications (e.g. Patent of addition
etc), Process Patent and Product Patent, Precautions while patenting, Patent
specification Patent claims, Disclosures and non-disclosures, Patent rights and
infringement, Method of getting a patent 07
5 Patent Rules: Indian patent act, European scenario, US scenario, Australia
scenario, Japan scenario, Chinese scenario , Multilateral treaties where India is a
member (TRIPS agreement, Paris convention etc.) 08
6 Procedure for Filing a Patent (National and International): Legislation and
Salient Features, Patent Search, Drafting and Filing Patent Applications, Processing
of patent, Patent Litigation, Patent Publication etc, Time frame and cost, Patent
Licensing, Patent Infringement
Patent databases: Important websites, Searching international databases 07

Books Recommended:
Reference Books:
1. Rajkumar S. Adukia, 2007, A Handbook on Laws Relating to Intellectual Property Rights in
India, The Institute of Chartered Accountants of India
2. Keayla B K, Patent system and related issues at a glance, Published by National Working Group on
Patent Laws
3. T Sengupta, 2011, Intellectual Property Law in India, Kluwer Law International
4. Tzen Wong and Graham Dutfield,2010, Intellectual Property and Human Development: Current
Trends and Future Scenario, Cambridge University Press
5. Cornish, William Rodolph&Llewelyn, David. 2010, Intellectual Property: Patents, Copyrights,
Trade Marks and Allied Right, 7th Edition, Sweet & Maxwell
6. LousHarns, 2012, The enforcement of Intellactual Property Rights: A Case Book, 3rd Edition,
WIPO
7. PrabhuddhaGanguli, 2012, Intellectual Property Rights, 1st Edition, TMH
8. R Radha Krishnan & S Balasubramanian, 2012, Intellectual Property Rights, 1st Edition, Excel
Books
9. M Ashok Kumar andmohdIqbal Ali, 2-11, Intellectual Property Rights, 2nd Edition, Serial
Publications
10. KompalBansal and PraishitBansal, 2012, Fundamentals of IPR for Engineers, 1st Edition, BS
Publications
11. Entrepreneurship Development and IPR Unit, BITS Pilani, 2007, A Manual on Intellectual
Property Rights,
12. Mathew Y Maa, 2009, Fundamentals of Patenting and Licensing for Scientists and Engineers,
World Scientific Publishing Company
13. N S Rathore, S M Mathur, PritiMathur, AnshulRathi , IPR: Drafting,Interpretation of Patent
Specifications and Claims , New India Publishing Agency

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Assessment:

Internal Assessment consists of two tests out of which; one should be compulsory class test and the other is
either a class test or assignment on live problems or course project.

End Semester Theory Examination:

Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question p aper weightage of each module will be proportional
to number of respective lecture hours as mention in the syllabus.

1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part(a) from module 3 then part (b)
will be from any module other than module 3)
4. Only Four question need to be solved.

Page 93

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Course
Code Course Name Teaching scheme Credit assigned

ILO2 028 Digital Business
Management
(abbreviated as
DBM) Theory Pract. Tut. Theory Pract. Tut. Total
3 - - 3 - - 3

Course
Code Course Name Examination scheme
Theory (out of 100)
Term
work Pract.
and
Oral Oral Total Internal Assessment End
sem
Exam Test1 Test2 Avg.
ILO2 028 Digital Business
Management 20 20 20 80 - - - 100

Course
Objectives  To familiarize with digital business concept
 To acquaint with E-commerce
 To give insights into E-business and its strategies

Course
Outcomes Student will be able to …..
1. Identify drivers of digital business
2. Illustrate various approaches and techniques for E-business and
management
3. Prepare E-business plan

Module Contents Hours
1 Introduction to Digital Business: Introduction, Background and current
status, E-market places, structures, mechanisms, economics and impacts
Difference between physical economy and digital economy, Drivers of digital
business - Big Data & Analytics, Mobile, Cloud Computing, Social media,
BYOD, and Internet of Things(digitally intelligent machines/services)
Opportunities and Challenges in Digital Business, 09
2 Overview of E-Commerce: E-Commerce - Meaning, Retailing in e- commerce -
products and services, consumer behavior, market research and advertisement
B2B-E-commerce -selling and buying in private e- markets, public B2B
exchanges and support services, e-supply chains, Collaborative Commerce, Intra
business EC and Corporate portals Other E-C models and applications, innovative
EC System -From E- government and learning to C2C, mobile commerce and
pervasive computing EC Strategy and Implementation -EC strategy and global EC,
Economics and Justification of EC, Using Affiliate marketing to promote your
e-commerce business, Launching a successful online business and EC project,
Legal, Ethics and Societal impacts of EC 06

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3 Digital Business Support services : ERP as e –business backbone, knowledge
Tope Apps, Information and referral system, Application Development: Building
Digital business Applications and Infrastructure 06
4 Managing E-Business -Managing Knowledge, Management skills for e-business,
Managing Risks in e –business, Security Threats to e- business -Security Overview,
Electronic Commerce Threats, Encryption, ryptography, Public Key and Private
Key Cryptography, Digital Signatures, Digital Certificates, Security Protocols over
Public Networks: HTTP, SSL, Firewall as Security Control, Public Key
Infrastructure (PKI) for Security, Prominent Cryptographic Applications 06
5 E-Business Strategy -E-business Strategic formulation - Analysis of Company‘s
Internal and external environment, Selection of strategy,
E-business strategy into Action, challenges and E-Transition (Process of Digital
Transformation) 04
6 M Materializing e-business: From Idea to Realization -Business plan preparation
Case Studies and presentations 08

Books Recommended:

Reference Books:
1. A textbook on E-commerce , Er Arunrajan Mishra, Dr W K Sarwade,Neha Publishers &
Distributors, 2011
2. E-commerce from vision to fulfilment, Elias M. Awad, PHI-Restricted, 2002
3. Digital Business and E-Commerce Management, 6th Ed, Dave Chaffey, Pearson, August 2014
4. Introduction to E-business -Management and Strategy, Colin Combe, ELSVIER, 2006
5. Digital Business Concepts and Strategy, Eloise Coupey , 2nd Edition, Pearson
6. Trend and Challenges in Digital Business Innovation, Vinocenzo Morabito, Springer
7. Digital Business Discourse Erika Darics, April 2015, Palgrave Macmillan
8. E-Governance -Challenges and Opportunities in : Proceedings in 2nd International Conference
theory and practice of Electronic Governance
9. Perspectives the Digital Enterprise –A framework for Transformation, TCS consulting journal
Vol.5
10. Measuring Digital Economy -A new perspective -DOI: 10.1787/9789264221796 -en OECD
Publishing
Assessment:
Internal Assessment consists of two tests out of which; one should be compulsory class test and the other is
either a class test or assignment on live problems or course project.
End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional
to number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part(a) from mod ule 3 then part (b)
will be from any module other than module 3)
4. Only Four question need to be solved.

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Course
Code Course Name Teaching scheme Credit assigned
ILO2 029 Environmental
Management
(abbreviated as
EVM) Theory Pract. Tut. Theory Pract. Tut. Total
3 - - 3 - - 3

Course
Code Course Name Examination scheme
Theory (out of 100)
Term
work Pract.
and
Oral Oral Total Internal Assessment End
sem
Exam Test1 Test2 Avg.
ILO2 029 Environmental
Management 20 20 20 80 - - - 100


Course
Objectives  Understand and identify environmental issues relevant to India and global concerns
 Learn concepts of ecology
 Familiarise environment related legislations

Course
Outcomes Student will be able to…
1. Understand the concept of environmental management
2. Understand ecosystem and interdependence, food chain etc.
3. Understand and interpret environment related legislations

Module Contents Hours
1 Introduction and Definition of Environment: Significance of Environment
Management for contemporary managers, Career opportunities.
Environmental issues relevant to India, Sustainable Development, the Energy
scenario. 10
2 Global Environmental concerns : Global Warming, Acid Rain, Ozone Depletion,
Hazardous Wastes, Endangered life-species, Loss of Biodiversity, Industrial/Man -
made disasters, Atomic/Biomedical hazards, etc. 06
3 Concepts of Ecology: Ecosystems and interdependence between living organisms,
habitats, limiting factors, carrying capacity, food chain, etc. 05
4 Scope of Environment Management, Role & functions of Government as a
planning and regulating agency.
Environment Quality Management and Corporate Environmental
Responsibility 10
5 Total Quality Environmental Management, ISO-14000, EMS
certification. 05
6 General overview of major legislations like Environment Protection Act, Air (P &
CP) Act, Water (P & CP) Act, Wildlife Protection Act, Forest Act, Factories Act,
etc. 03

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Books Recommended:
Reference Books:
1. Environmental Management: Principles and Practice, C J Barrow, Routledge Publishers London,
1999
2. A Handbook of Environmental Management Edited by Jon C. Lovett and David G. Ockwell,
Edward Elgar Publishing
3. Environmental Management, T V Ramachandra and Vijay Kulkarni, TERI Press
4. Indian Standard Environmental Management Systems — Requirements With Guidance For Use,
Bureau Of Indian Standards, February 2005
5. Environmental Management: An Indian Perspective, S N Chary and Vinod Vyasulu, Maclillan
India, 2000
6. Introduction to Environmental Management, Mary K Theodore and Louise Theodore, CRC Press
Environment and Ecology, Majid Hussain, 3rd Ed. Access Publishing.2015

Assessment:

Internal Assessment consists of two tests out of which; one should be compulsory class test and the other is
either a class test or assignment on live problems or course project.

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each m odule will be proportional
to number of respective lecture hours as mention in the syllabus.

1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part(a) from mod ule 3 then part (b)
will be from any module other than module 3)
4. Only Four question need to be solved.

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Course
Code Course
Name Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ELXL
2021 Laboratory -
III
Emerging
Trends in
SOC
Design -- 02 -- -- 01 -- 01

Subject
Code Subject Name Examination Scheme
Theory Marks
Term
Work Practical
And
Oral Total Internal assessment
End
Sem.
Exam Exam
duration
Hours Test
1 Test
2 Avg of
Test 1
and Test
2
ELXL2021 Laboratory -III
Emerging Trends
in SOC Design - - - - - 25 25 50

Term Work:
At least 10 experiments covering the entire syllabus of ELXC2022 ( Emerging Trends in SOC Design )
should be set to have well predefined inference and conclusion. The experiments should be student centric
and attempt should be made to make experiments more meaningful, interesting. Simulation experiments are
also encouraged. Experiments must be graded fr om time to time. The grades should be converted into marks
as per the Credit and Grading System manual and should be added and averaged. The grading and term
work assessment should be done based on this scheme. The final certification and acceptance of ter m work
ensures satisfactory performance of laboratory work and minimum passing marks in term work. Practical
and Oral exams will be based on the entire syllabus.

Laboratory Outcomes:
After successful completion of the course students will be able to:
1. Develop commercial tools for SoCs
2. Demonstrate how to program a processor on a Fixed Virtual Platform using a mixture of Verilog,
Assembly language and C code.
3. Configure and implement peripherals to control General Purpose Input and Output Ports (GPIOs).
4. Understand the operation of GPIO, memory access and controllers, and various memory types in a
typical SoC.
5. Understand the properties of a System on Chip, and its design flow
6. Configure and implement SoC for different applications .

Note: The action verbs according to Bloom's taxonomy are highlighted in bold.

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Suggested List of Experiments

Sr.
No. Experiment Title
Digital(Any 8)
1 Implement Rising Edge D Flip Flop on FPGA
2 Implement full adder on FPGA
3 Implement 2-bit comparator on FPGA
4 Implement up-counter with test -bench on FPGA
5 Implement Arithmetic Logic Unit (ALU) on FPGA
6 Implement debouncing buttons on FPGA
7 Implement Decoders on FPGA
8 Implement Multiplexers on FPGA
9 Implement Clock divider on FPGA
10 Implement PWM generator on FPGA
11 Implement single -port RAM on FPGA
12 Implement 16-bit single -cycle MIPS processor on FPGA
13 Implement reading image files into FPGA
14 Non-linear Lookup Table Implementation on FPGA
15 Implement Moore FSM Sequence Detector on FPGA
16 Implement Reference designs for SoCs, MCUs, ASICs, and FPGAs using Xilinx®, Intel®,
and Texas Instruments™ design tools.
Analog(Any Two)
1 Designing and testing a sinewave table in ROM using SPI
2 A fixed /variable frequency sinewave generator using SPI
3 D-to-A conversion using pulse -width modulation using SPI

Note: Experiments can be performed online using simulation software as well as hardware. Simulation
software Xilinx can be used to perform the experiments.

(Expected percentage of H/w and software experiments should be 20% & 80% respectively)

Note:
Suggested List of Experiments is indicative. However, flexibility lies with individual course
instructors to design and introduce new, innovative and challenging experiments, (limited
to maximum 30% variation to the suggested list) from within the curriculum, so that the
fundamentals and applications can be explored to give greater clarity to the students and
they can be motivated to thin k differently.

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Course
Code Course Name Teaching Scheme (Hrs) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total

ELXL20 22 Advanced
Digital Signal
Processing LAB
(Skill Based
Lab-II)
- 04 - - 02 - 02

Course
Code Course
Name Examination Scheme
Theory Marks
Internal assessment End
Sem.
Exam Term
Work Practical Oral Total Test
1 Test
2 Avg. Of
Test 1 &
Test 2
ELXL2022
Advanced
Digital
signal
Processing
LAB - - - - 50 - 50 100


Course Pre -Requisites:

1. Basic knowledge of Signals and Systems, DSP.
2. Acquaintance of Simulation languages and software tools.

Course Objectives:

1. To design and simulate basic DSP systems and multirate systems for practical applications.
2. To d esign and simulate DSP systems for spectral analysis of signals and optimum filters for
different applications
3. To design and simulate adaptive filters for real world applications


Course Outcomes:
Students wi ll be able to
1. Implement basic DSP algorithms and m ultirate techniques for various situations.
2. Implement optimum filters for real world applications and extract spectral information.
3. Design and test adaptive filter sys tems for practical applications

List of Experiments:

1. Basic filtering operations, like noise reduction using FIR filter, enhancement of ECG signal using
notch filtering etc.
2. IIR filter .Simulation of Digital audio equalizer.
3. Biomedical signal processing, ECG signal processing.

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4. Algorithms in DTMF tone generation.
5. Oversampling and Analog to d igital conversion resolution.
6. Sampling rate reduction by an integer factor, sampling rate increase by an integer factor.
7. Changing Sampling rate by a non integer factor L/M.
8. Upsampling and Interpolation filter processes in CD audio systems.
9. Noise cancellati on using adaptive filters.
10. System modeling using adaptive filters.
11. Line enhancement using linear prediction.
12. Subband decomposition and two channel perfect reconstructions QMF bank.

Students are required to perform any six experiments from the above list covering most of the topics in
Advanced Signal processing and perform one mini project preferably based on any of the above topics
2,4,8,or 12.


Reference Books:
1. Digital Signal Processing Fundamentals & Applications.2/e Li Ta n & Jean Jiang Elsevier, Academic
press.
2. Digital Signal Processing. A computer based approach, S.K.Mitra, Tata Mc Graw Hill.

Additionally
Skill Based Lab - II is moreover focus on the learning through experience and projects . Hence, simulation and hands on
different software platforms (at-least 2 to 3) is expected. The course shall facilitate the learner to acquire the
fundamentals of practical engineering in the specialization in a project -oriented environment. The learning through
skill-based labs can be useful in facilitating their research work and hence useful in early completion of their dissertation
work

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Program Structure for ME Electronics Engineering

UNIVERSITY OF MUMBAI
(With Effect from 2022 -2023 )

Semester - III

Course Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
ELXMP301 Major Project:
Dissertation –I -- 20 -- -- 10 -- 10
Total 00 20 -- 00 10 -- 10


Course Code
Course Name Examination Scheme
Theory
Term
Work
Pract/
Oral
Total Internal Assessment End
Sem.
Exam Exam.
Duration
(in Hrs) Test-1 Test-2 Avg
ELXMP301 Major Project:
Dissertation –I -- -- -- -- -- 100 -- 100
Total -- -- -- -- -- 100 -- 100

Online Credit Courses

Course
Code
Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
ELXOCC301 Online Credit Course - I -- -- -- -- -- -- 3
ELXOCC302 Online Credit Course - II -- -- -- -- -- -- 3
Total -- -- -- 00 00 00 06


Note: It is mandatory to complete the Online Credit Courses (OCC) available on NPTEL / Swayam /MOOC or similar platform
approved by university. The learner shall opt for one course each from OCC - I & OCC -II. These two courses shall be completed
in any semester I or II or III, but not later end of the Semester III. The credits earned with OCC - I and OCC -II shall be accounted
in the third semester grade -sheet. The learner shall be allowed to take up these courses from his or her institute or organization/
industry where his / her major project is carried out. The students shall complete the courses and shall qualify the exam conducted
by the respective authorities/ instructor from the platform. The fees for any such courses and the corresponding examination
shall be borne by the learner. University shall make a provision that credit earned with OCC -I & OCC -II shall be accounted in
the third semester grade -sheet with actual names of the courses.
Online Credit Course I: The learner shall opt for the course in the domain of Research Methodology or Research & Publication
Ethics or IPR. The opted course shall be of 3 credits of equivalent number of weeks.
Online Credit Course II: The learner shall opt for the course recommen ded by Faculty Advisor/ Project Supervisor from the
institute. The opted course shall be of 3 credits of equivalent number of weeks.

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Program Structure for ME Electronics Engineering
UNIVERSITY OF MUMBAI
(With Effect from 2022 -2023 )
Semester - IV

Course Code
Course Name
(Major Project) Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
ELX MP401 Dissertation –II -- 32 -- -- 16 -- 16
Total -- 32 -- -- 16 - 16

Course Code

Course Name
(Major Project) Examination Scheme
Theory
Term
Work
Pract/
Oral
Total Internal Assessment End
Sem.
Exam Exam.
Duration
(in Hrs) Test-1 Test-2 Avg
ELX MP401 Dissertation –II -- -- -- -- -- 100 100 200
Total -- -- -- -- -- 100 100 200

Note: The Dissertation submission shall not be permitted till the learner completes all the credit requirements of the ME course.
Guidelines for Dissertation
 Students should do literature survey and identify the problem for Dissertation and finalize in
consultation with Guide/Supervisor. Students should use multiple literature and understand the
problem. Students should attempt solution to the problem by analytical/simulation/experimental
methods. The solution to be validated with proper justification and compile the report in standard
format.
Guidelines for Assessment of Dissertation I
 Dissertation I should be assessed based on following points
 Quality of Literature survey and Novelty in the problem
 Clarity of Problem definition and Feasibility of problem solution
 Relevance to the specialization
 Clarity of objective and scope
 Dissertation I should be assessed through a presentation by a panel of Internal examiners appointed
by the Head of the Department/Institute of respective Prog ramme.
Guidelines for Assessment of Dissertation II
 Dissertation II should be assessed based on following points
 Quality of Literature survey and Novelty in the problem
 Clarity of Problem definition and Feasibility of problem solution
 Relevance to the specialization or current Research / Industrial trends
 Clarity of objective and scope
 Quality of work attempted
 Validation of results
 Quality of Written and Oral Presentation
 Dissertation II should be assessed through a presentation jointly by Intern al and External Examiners
appointed by the University of Mumbai
 Students should publish at least one paper based on the work in reputed International / National
Conference (desirably in Refereed Journal)