TE Electronics and Computer Science Sem V VI1_1 Syllabus Mumbai University

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Copy to : -
1. The Deputy Registrar, Academic Authorities Meetings and Services
(AAMS),
2. The Deputy Registrar, College Affiliations & Development
Department (CAD),
3. The Deputy Registrar, (Admissions, Enrolment, Eligibility and
Migration Department (AEM),
4. The Deputy Registrar, Research Administration & Promotion Cell
(RAPC),
5. The Deputy Registrar, Executive Authorities Section (EA),
6. The Deputy Registrar, PRO, Fort, (Publi cation Section),
7. The Deputy Registrar, (Special Cell),
8. The Deputy Registrar, Fort/ Vidyanagari Administration Department
(FAD) (VAD), Record Section,
9. The Director, Institute of Distance and Open Learni ng (IDOL Admin),
Vidyanagari,
They are requested to treat this as action taken report on the concerned
resolution adopted by the Academic Council referred to in the above circular
and that on separate Action Taken Report will be sent in this connection.

1. P.A to Hon’ble Vice -Chancellor,
2. P.A Pro -Vice-Chancellor,
3. P.A to Registrar,
4. All Deans of all Faculties,
5. P.A to Finance & Account Officers, (F.& A.O),
6. P.A to Director, Board of Examinations and Evaluation,
7. P.A to Director, Innovation, Incubation and Linkages,
8. P.A to Director, Board of Lifelong Learning and Extension (BLLE),
9. The Director, Dept. of Information and Communication Technology
(DICT) (CCF & UCC), Vidyanagari,
10. The Director of Board of Student Development,
11. The Director, Dep artment of Students Walfare (DSD),
12. All Deputy Registrar, Examination House,
13. The Deputy Registrars, Finance & Accounts Section,
14. The Assistant Registrar, Administrative sub -Campus Thane,
15. The Assistant Registrar, School of Engg. & Applied Sciences, Kalyan ,
16. The Assistant Registrar, Ratnagiri sub -centre, Ratnagiri,
17. The Assistant Registrar, Constituent Colleges Unit,
18. BUCTU,
19. The Receptionist,
20. The Telephone Operator,
21. The Secretary MUASA

for information.

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Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev.
2019) 'C' Scheme
1

AC- 29/06/2021
Item No. - 6.14

UNIVERSITY OF MUMBAI













Program: Bachelor of Engineering in
Electronics & Computer Science

Second Year with Effect from AY 2020 -21
Third Year with Effect from AY 2021 -22
Final Year with Effect from AY 2022 -23

(REV - 2019 ‘C’ Scheme) from Academic Year 2019 – 20
Under

FACULTY O F SCIENCE & TECHNOLOGY

(As per AICTE guidelines with effect from the academic year 2019 –2020)

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Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev.
2019) 'C' Scheme
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AC – 29/06/2021
Item No. – 6.14
UNIVERSITY OF MUMBAI

Syllabus for Approval

Sr. No. Heading Particulars
1 Title of the
Course Third Year BE in Electronics & Computer Science
2 Eligibility for Admission Second Year Engineering passed in line with the
Ordinance 0.6243
3 Passing Marks 40%
4 Ordinances / Regulations
( if any) Ordinance 0.624 3
5 No. of Years / Semesters 8 Semesters
6 Level Certificate/Diploma /UG/ PG
( Strike out which is not applicable)
7 Pattern Semester /Yearly
( Strike out which is not applicable)
8 Status Revised /New
( Strike out which is not applicable)
9 To be implemented from
Academic Year With effect from Academic Year: 202 1-2022

Date: 29.06.2021 Signature:


Dr. S. K. Ukarande
Associate Dean
Faculty of Science and Technology
University of Mumbai Dr Anuradha Muzumdar
Dean
Faculty of Science and Technology
University of Mumbai

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Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev.
2019) 'C' Scheme
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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, the Faculty of Science and
Technology (in particular Engineering), of University of Mumbai, has taken a lead in incorporating
the philosophy of outcome based education in the process of curriculum development.

Faculty resolved that course objectives and course outcomes are to be clearly defined for each course,
so that all faculty members in affiliated ins titutes, understand the depth and approach of the 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 education. Credit assignment for courses
is based on 15 weeks teaching learning process. Howev er, content of courses is to be taught in 12 -13
weeks and the 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 was more focused on providing in formation
and knowledge across various domains of the said program, which led to heavily loading students in
terms of direct contact hours. In this regard, faculty of science and technology resolved that to minimize the
burden of contact hours, total credi ts of the 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 curriculum, 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 the
curriculum proposed in the present revision is in line with the AICTE model curriculum.

The present curriculum will be implemented for Second Year of Engineering from the academic year
2020 -21. Subsequently this will be carried forward for Third Year and Final Year Engineering in the
academic years 2021 -22, 2022 -23, respectively.





Dr. S. K. Ukarande
Associate Dean
Faculty of Science and Technology
University of Mumbai Dr Anuradha Muzumdar
Dean
Faculty of Science and Technology
University of Mumbai

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Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev.
2019) 'C' Scheme
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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 earlier revision s of the curriculum in the year s 2012 and 2016 , in Revised scheme ‘A' and
‘B' resp ectively, efforts were made to use online contents as additional learning materials to
enhance learning of students.
In the current revision based on the recommendation of AICTE model curriculum , overall
credits are reduced to 171, 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/ H OD’s/ Faculties of all the institute s are required t o 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 and on successful completion , they are
required to submit certification for the same. This will definitely help learners to facilitate
their enhanced learning based on their interest.



Dr. S. K. Ukarande
Associate Dean
Faculty of Science and Technology
University of Mumbai Dr Anuradha Muzumdar
Dean
Faculty of Science and Technology
University of Mumbai

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Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Preface
Technical education in the country is undergoing a paradigm shift in current days. Think tank at national level are
deliberating on the issues, which are of utmost importance and pose d challenge to all the spheres of technical
education. Eventually, impact of these developments was visible an d as well adopted on bigger scale by almost all
universities across the country. These are primarily an adoption of CBCS (Choice base Credit System) and OBE
(Outcome based Education) with student centric and learning centric approach. Education sector in t he country, as
well, facing critical challenges, such as, the quality of graduates, employability, basic skills, ability to take challenges,
work ability in the field s, adoption to the situation, leadership qualit ies, communication skill s and ethical behav iour.
On other hand, the aspirants 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 surviva l difficult. In light of these, an All India Council for Technical Education (AICTE), the
national regulator, took initiatives and enforced certain policies for betterment , in timely manner. Few of them are
highlight ed here, these are design of model curri culum for all prevailing streams, mandatory induction program for
new entrants, introduction of skill based and inter/cross discipline courses, mandatory industry internships, creation
of digital contents, mandate for use of ICT in teaching learning, virtu al laboratory and so on.

To keep the pace with these development s in Technical education, it is mandatory for the Institutes & Universities to
adopt these initiatives in phased manner, either partially or in toto. Hence, the ongoing curriculum revision p rocess
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 adoption of these initiatives. We, the members of
Electronics Engineering Boa rd of Studies of Mumbai University feel privileged to present the revised version of
curriculum for Electronics & Computer Science program to be implemented from academic year 2020 -21. Consent
was also extended by BoS Computer Science for this curriculum . Some of the highlights of the revision are;
i. Curriculum has been framed with reduced credits and weekly contact hours , thereby providing free slots to the
students to brain storm, debate, explore and apply the engineering principles. The leisure pr ovided through this
revision shall favour to inculcate 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 in troduced, which shall change the thought process and enhance the
programming s kills 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 leadershi p qualities, facilitate decision making and enhance problem solving ability with
focus towards socio -economic development of the country. In addition, it shall be direct application of
theoretical knowledge in practice, thereby , nurture learners to become industry ready and enlighten students
for Research, Inn ovation 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 , facili tating the students for self-learning and achieve the Graduate Attribute (GA) specified by
National Board of accreditation (NBA) i.e. lifelong learning.

Thus, this revision of curriculum aimed at creating deep impact on the teaching learning methodology to be adopted
by affiliating Institutes, thereby nurturing the students fraternity in a multifaceted directions and create competent
technical manpower with legitimate skills . In time to come, these graduates shall shou lder the responsibilities of
prolifer ation of fut ure technologies and support in a big way for 'Make in India ' initiative a reality . In the process,
BoS, Electronics Engineering got whole hearted support from all stakeholder s including faculty, Heads of department
of affiliating institutes, e xperts faculty who detailed out the course contents, alumni, industry experts and university
official providing all procedural support time to time. We put on record their involvement and sincerely thank one
and all for contribution and support extended fo r 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. S rija Unnikrishnan Member 8 Dr. Vivek Agarwal Member

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Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Program Structure for Third Year Electronics Engineering
UNIVERSITY OF MUMBAI
(With Effect from 2021 -2022 )

Semester V
Course
Code Course
Name Teaching Scheme
(Contact Hours) Credits Assigned
TH PR Tut TH Pract Tut Total
ECC 501 Communication Engineering 3 - - 3 - - 3
ECC 502 Computer Organization and
Architecture 3 - - 3 - - 3
ECC 503 Software Engineering 3 - - 3 - - 3
ECC 504 Web Technologies 3 - - 3 - - 3
ECC
DO501 Department Optional
(Course - I) 3 - - 3 - - 3
ECL501 Communication Engineering Lab - 2 1 1
ECL502 Software Engineering and Web
Technologies Lab - 2 - - 1 - 1
ECL503 Department Optional (Course - I)
Lab - 2 - - 1 - 1
ECL504 Professional Communication
and Ethics -II - 4 - - 2 - 2
ECM501 Mini project - 2A - 4$ - - 2 - 2
Total 15 14 - 15 7 - 22
*Theory class; $ indicates workload of learner ( Not faculty), for mini -project
Course
Code Course
Name Examination Scheme
Internal Assessment End
Sem
Exam Exam
Duration
(in Hrs)
TW
Pract/
Oral
Total
Test 1 Test 2 Av
ECC 501 Communication
Engineering 20 20 20 80 03 - - 100
ECC 502 Computer Organization
and Architecture 20 20 20 80 03 - - 100
ECC 503 Software Engineering 20 20 20 80 03 - - 100
ECC 504 Web Technologies 20 20 20 80 03 - - 100
ECC
DO501 Department Level
Optional Course - I 20 20 20 80 03 - - 100
ECL501 Communication
Engineering Lab - - - - - 25 25 50
ECL502 Software Engineering and
Web Technologies lab - - - - - 25 25 50
ECL503 Department Optional
Course -I lab - - - - - 25 25 50
ECL504 Professional
Communication and
Ethics -II - - - - - 25 25 50
ECM501 Mini project - 2A 25 25 50
Total 100 400 - 150 100 750
Department Level Optional Course - I (DO 501):
1. Software Testing and Quality Assurance 3. Information Theory and Coding
2. ASIC Verification 4. Sensors and Applications

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Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE )
Subject
Code Subject Name Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECC 501 Communication
Engineering 03 -- -- 03 -- -- 03

Subject
Code Subject Name Examination Scheme
Theory Marks
Term
Work Pra
ctic
al Oral Total Internal assessment End
Sem.
Exam Exam
duration
Hours Test
1 Test
2 Avg. of Test
1 and Test 2
ECC 501 Communication
Engineering 20 20 20 80 03 -- -- -- 100


Course Pre -requisite:

 ECC 301 Applied Mathematics -III
 ECC 401 Applied Mathematics -IV
 ECC 303 Digital Electronics
 ECC 302 Electronic Devices

Course Objectives:

1. To understand and analyse the need for various analog modulation techniques
2. To analyse the characteristics of the receivers
3. To understand pulse modulation methods
4. To understand the effect of ISI in Baseband transmission of a digital signal
5. To analyse various Digital modulation techniques

Course Outcomes:

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

1. Analyse various analog modulation methods.
2. Explain various pulse modulation techniques.
3. Evaluate the impact of Inter Symbol Interference in Baseband transmission and methods to mitigate
its effect.
4. Compare various Digital modulation methods based on spectral efficiency, Euclidean distance etc
5. Analyse the characteristics of radio receivers

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Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE )
Module
No. Unit
No. Contents Hrs.
1 Introduction to Electronic Communication 04
1.1 Electromagnetic Spectrum
1.2 Block diagram of Analog communication system
1.3 Need for modulation
1.4 Types of Noise, Signal -to-noise ratio, Noise factor, Noise Figure, Noise
Temperature
2 Analog Modulation Systems 12
2.1 Principle of Amplitude Modulation (AM): Representation of AM wave
(Mathematical & Graphical), Frequency spectrum of AM wave, AM Power
Distribution, AM for a Complex Modulating Signal
2.2 Types of AM: Generation of DSB -SC using diode based balanced modulator,
Generation of SSB using phase shift method
2.3 Principles of Angle Modulation: Theory of Frequency Modulation (FM) &
Phase Modulation (PM) - Basic Concepts, Spectrum Analysis of FM Wave,
Noise triangle, Pre -emphasis, De -emphasis
2.4 Comparison of AM, FM and PM
3 Radio Transmitters and Receivers 04
3.1 Radio Transmitters: Block diagram of AM & FM transmitters
3.2 Radio receivers: Receiver Characteristics, Superheterodyne Receiver, diode
detector, Automatic gain control (AGC), Automatic frequency control (AFC)
4 Pulse Modulation 05
4.1 Sampling theorem and quantization of signals
4.2 Generation and Detection of Pulse Amplitude Modulation (PAM)
4.3 Pulse Code Modulation (PCM), and Delta Modulation (DM)
4.4 Multiplexing Techniques: Time Division Multiplexing (TDM):T1 carrier system,
Frequency Division Multiplexing (FDM)
5 Pulse Shaping for Optimum Transmission 04
5.1 Line codes and their desirable properties, PSD of digital data
5.2 Concept of Inter symbol interference (ISI), Eye diagram: Quality Factor and
BER, Nyquist Bandwidth
5.3 Types of equalizers: Linear equalizer
5.4 Correlative coding: Duo -binary encoding and modified duo-binary encoding
6 Digital Modulation Techniques 10
6.1 Bandpass digital transmitter and receiver model
6.2 Generation, detection, signal space diagram, power spectral density and
spectrum efficiency analysis of: Binary Phase Shift Keying (BPSK), Quaternary
Phase Shift Keying (QPSK), M -ary PSK, Binary Amplitude Shift Keying
(BASK), Quadrature Amplitude Modulation (QAM), Binary Frequency Shift
Keying (BFSK), Minimum Shift Keying (MSK).
Total 39

Text Books:
1. Simon Haykin, “ Communication System ”, John Wiley And Sons ,4th Ed

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Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) 2. Taub Schilling & Saha, “ Principles Of Communication Systems ”, Tata Mc -Graw Hill,
Third Ed
3. Kennedy and Davis “Electronics Communication System”, Tata McGraw Hill
4. T. L. Singal, “Analog and Digital Communication,” Tata Mc -Graw Hill, New Delhi, First
Edition, 2012.
5. Sklar B, and Ray P. K., “Digital Communication: Fundamentals and Applications,” Pearson,
Dorling Kindersley (India), Delhi, Second Edition, 2009.

Reference Books:
1. Bernad Sklar, - “Digital communication”, Pearson Education, 2nd Ed.
2. Simon Haykin, “Digital communication”, John Wiley and sons
3. Wayne Tomasi, “Electronics Communication Systems” Pearson Education, Third Edition,
2001.
4. R P Singh &S. Sapre, “Analog and Digital Communication”, Tata McGraw Hill 2nd Ed.
5. Haykin Simon, “Digital Communication Systems,” John Wiley and Sons, New Delhi, Fourth
Edition, 2014.
6. Proakis & Salehi, “Communication System Engineering”, Pearson Education.

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 comprise 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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Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Subject
Code Subject Name Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECC 502 Computer
Organization
and
Architecture 03 -- -- 03 -- -- 03

Subject Code Subject Name Examination Scheme
Theory Marks
Term
Work Pra
ctic
al Oral Total Internal assessment End
Sem.
Exa
m Exam
durati
on
Hours Test
1 Test
2 Avg of
Test 1
and
Test 2
ECC 502 Computer
Organization
and
Architecture 20 20 20 80 03 -- -- -- 100


Course Pre -requisite:

1. Digital Electronics
2. Fundamental concepts of processing
3. Data structures

Course Objectives:

1. To introduce the learner to the design aspects which can lead to maximized performance of a
Computer.
2. To introduce basic concepts and functions of operating systems.
3. To understand the concepts of process synchronization and deadlock.
4. To understand various Memory, I/O and File management techniques
5. To introduce the learner to various concepts related to Parallel Processing
6. To highlight the various architectural enhancements in modern processors.

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

1. Define the performance metrics of a Computer
2.Explain the design considerations of Processor, Memory and I/O in Computer systems
3.Interpret the objectives and functions of an Operating System
4 Analyze the concept of process management and evaluate pe rformance of process scheduling
algorithms
5. Evaluate the advantages and limitations of Parallelism in systems
6. Discuss the various architectural enhancements in modern processors

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Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Module
No. Unit
No. Contents Hrs.
1 Introduction to Computer Organization 02
1.1 Fundamental Units of a Computer, Basic Measures of Computer Performance -
Clock Speed, CPI, MIPs and MFlops
1.2 Number Representation methods - Integer and Floating -point
2 Processor Organization and Architecture 05
2.1 CPU Architecture, Register Organization, Instruction cycle, Instruction
Formats
2.2 Control Unit Design - Hardwired and Micro -programmed Control: Vertical
and Horizontal Micro -Instructions, Nano -programming
2.3 Comparison between CISC and RISC architectures
3 Memory and I/O Organization 09
3.1 Classification of Memories -Primary and Secondary Memories, ROM
and RAM, Memory Inter - leaving
3.2 Memory Hierarchy, Cache Memory Concepts, Mapping Techniques, Write
Policies, Cache Coherency
3.3 Virtual Memory Management -Concept, Segmentation, Paging, Page
Replacement policies
3.4 Types of I/O devices and Access methods, Types of Buses, Bus Arbitration 15
4 Operating System concepts
4.1 Concept of a Process, Process States, Process Description, Process Control Block
4.2 Process scheduling -Pre-emptive and Non pre -emptive scheduling algorithms
(FCFS, Priority, SJF), Concept of Multi -Threading
4.3 Inter -Process Communication, Process Synchronization, Deadlock and Prevention
4.4 File Management -File Organization and Access
4.5 I/O Management and Disk Scheduling: FCFS, SSTF
5 Parallelism 04
5.1
Introduction to Parallel Processing Concepts, Flynn's classification,
Amdahl's law
5.2 Pipelining - Concept, Speedup, Efficiency, Throughput, Types of Pipeline hazards
and solutions
6 Architectural Enhancements 04
Superscalar Architectures, Out -of-Order Execution, Multi -core processors, Clusters,
GPU

Total 39

Text Books:
1. William Stallings, “ Computer Organization and Architecture: Designing for Performance ”,
Eighth Edition, Pearson.
2. C. Hamacher, Z. Vranesic and S. Zaky, "Computer Organization", McGraw Hill,2002.
3. William Stallings, Operating System: Internals and Design Principles, Prentice Hall, 8th
Editio n
4. Abraham Silberschatz, Peter Baer Galvin and Greg Gagne, Operating System Concepts,
John Wiley &Sons, Inc., 9th Edition,

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Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Reference Books:

1. P. Hayes, "Computer Architecture and Organization", McGraw -Hill,1998.
2. B. Govindarajulu, “ Computer Architecture and Organization: Design Principles and
Applications ”, Second Edition, Tata McGraw -Hill.
3. D. A. Patterson and J. L. Hennessy, "Computer Organization and Design - The
Hardware/Software Interface", MorganKaufmann,1998.
4. Achyut Godbole and Atul Kahate, Operating Systems, McGraw Hill Education, 3rd Edition
5. Andrew Tannenbaum, Operating System Design and Implementation, Pearson, 3rd 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 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. 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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Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Subject
Code Subject
Name Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECC 503 Software
Engineering 03 -- -- 03 -- -- 03

Subject
Code Subject
Name Examination Scheme
Theory Marks
Term
Work Practical Oral Total Internal assessment
End
Sem.
Exam Exam
duration
Hours Test
1 Test
2 Avg of
Test 1
and
Test 2
ECC 503 Software
Engineering 20 20 20 80 03 -- -- -- 100


Course Pre -requisite s:

1. Knowledge of Software Application Domains, Software Engineering Practices.
2. Knowledge of any Programming Language

Course Objectives:

1. To learn the basics of software engineering and software development process models, agile
software development and other agile practices.
2. To Identify, Specify, analyse Software Requirements and prepare model.
3. To understand concepts and principles of software design and Development.
4. To learn about Project Scheduling concept and Software Cost Estimation Techniques.
5. To understand concept of software quality assurance and Risk Management.
6. To learn different software testing strategies and t actics.

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

1. Apply software engineering concept and choose process models for a software project
development.
2. Analy se and specify software requirement specification (SRS) for software system.
3. Convert requirement model into the design model and demonstrate the use of software and user -
interface design principles.
4. Generate the project schedule and estimate the cost of software system.
5. Identify risks and prepare RMMM plan for quality software system.
6. Apply testing strategies and tactics for software system.

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Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Module
No. Unit
No. Contents Hrs.



1 Introduction to Software Engineering and Process Models


7 1.1 Nature of Software, Software Process framework
1.2 Prescriptive Models: Waterfall Model, Incremental, RAD Models Evolutionary
Process Models: Prototyping, Spiral and Concurrent Development Model.
Specialized Models: Component based
1.3 Agile process, Agility Principles, Extreme Programming (XP), Scrum.


2 Requirement Engineering and Modelling

8 2.1 Types of Requirements, Requirement Engineering Task, Software Requirement
Specification (SRS), Developing Use Cases (UML)
2.2 Requirement Model: Scenario -based model, Class -based model, Behavioural
model.

3 Design Engineering

6 3.1 Design Concepts, Design Principles
3.2 Architecture Design, Component Level Design, System Level Design, User
Interface Design



4 Project scheduling & Cost Estimation


6 4.1 Project Scheduling, defining a Task Set for the Software Project, Gantt charts,
Program Evaluation Review Techniques (PERT), Tracking the Schedule
4.2 Software Project Estimation, Decomposition Techniques, LOC based, FP based
and Use case -based estimations, Empirical estimation Models. COCOMO II
Model.


5 Software Risk &Quality Management

6 5.1 Software Risk, Types of Risk, Risk Identification, Risk Assessment, Risk
Projection, RMMM.
5.2 Software Quality Assurance Task and Plan, McCall’s Quality Factors, Software
Reliability, Formal Technical Review (FTR), Walkthrough




6 Software Testing Strategies and Tactics

6
6.1 Software Testing Fundamentals, Testing strategies for conventional and Object -
Oriented architectures, Unit testing, Integration testing, System Testing,
Validation and System Testing.
6.2 Testing Tactics: White -Box Testing, Basis Path Testing, Control Structure
Testing, Black -Box Testing.
Total 39

Text Books:
1. Roger S Pressman “Software Engineering: A Practitioner’s Approach” 8th Edition McGraw -
Hill, ISBN:978 -0-07-802212 -8
2. Pankaj Jalote, "An integrated approach to Software Engineering", Springer/Narosa

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15
UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Reference Books:
1. Ian Sommerville, “Software Engineering”, Pearson Education (9th edition)
2. Jibitesh Mishra and Ashok Mohanty, “Software Engineering”, Pearson edition
3. Rajib Mall, "Fundamentals of Software Engineering", Prentice Hall India
4. Hans Van Vilet , “Software Engineering Principles and Practice” 3rd edition Wiley


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 comprise 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 where in sub questions of 2
to 5 marks will be asked.
4. Remaining questions will be selected from all the modules.

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Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme

16
UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Subject
Code Subject Name Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECC504 Web Technologies 03 -- -- 03 -- -- 03

Subject
Code Subject
Name Examination Scheme
Theory Marks
Term
Work Prac
tical Oral Total Internal assessment End
Sem.
Exam Exam
duration
Hours Test
1 Test
2 Avg of Test 1
and Test 2
ECC504 Web
Technologies 20 20 20 80 03 -- -- - 100

Course Pre -requisite: Basics of programming languages, basic knowledge of HTML

Course Objectives:
1. To design and create web pages using HTML5 and CSS3.
2. To implement client -side scripting to static web pages.
3. To create dynamic web pages using server -side scripting.
4. To use MVC framework for web application development.

Course Outcomes:

After successful completion of the course students will be able to:
1. Design stat ic web pages using HTML5.
2. Design the layout of web pages using CSS3.
3. Apply the concepts of client -side validation and scripts to static web pages using JavaScript
and JQuery.
4. Build responsive web pages using front -end framework Bootstrap.
5. Build dynamic web pages using server -side scripting.
6. Develop a web application using appropriate web development framework.

Page 19

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme

17
UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Module Unit
No. Contents Hrs.

1 Introduction to HTML5
4 1.1 Basic structure of an HTML5 document, Creating an HTML5 document,
Mark up Tags, Heading -Paragraphs, line Breaks
HTML5 Tags - Introduction to elements of HTML, Working with Text, Lists,
Tables and Frames, Hyperlinks, Images and Multimedia, Forms and other
HTML5 controls.
1.2 Self-Learning: HTML5 based game development
2 Static Web Page Design
4 2.1 Concept of CSS, Creating Style Sheet, CSS Properties, CSS Styling
(Background, Text Format, Controlling Fonts), Working with block elements
and objects, Lists and Tables, CSS Id and Class, Box Model(Introduction,
Border properties, Padding Properties, Margin properties)
CSS Advanced: (Grouping, Dimension, Display, Positioning, Floating, Align,
Pseudo class, Navigation Bar, Image Sprites, Attribute sector)
2.2 Self-Learning: Creating page Layout and Site Designs
3 Client -side scripting
3.1 JavaScript
Introduction to JavaScript, Lexical Structure, Types, Values, Variables,
Expressions and Operators, Statements, Objects, Arrays, Functions, Pattern
matching with regular expressions, JavaScript in Web Browsers, The Window
object, Scripting Documents, Scripting CSS, Handling Events
6
3.2 jQuery
jQuery Basics, jQuery Getters and Setters, Altering Document
Structure, Handling events with jQuery, Animated Effects, Utility functions,
jQuery Selectors and Selection Methods, Extending jQuery
with Plug -ins, The jQuery UI Library 4
3.3 Self-Learning: JavaScript Framework -AngularJS
4 Bootstrap
6 4.1 Introduction to Bootstrap, downloading and installing Bootstrap.
The Grid System : Introducing the Grid, Offsetting and Nesting, Responsive
Features, Utility Classes, and Supported Devices.
CSS Foundations : Typography in Bootstrap, Styling Tables, Styling Forms,
Styling Buttons, Images, icons, and Thumbnails.
Navigation Systems : Tabs, Pills, and Lists, Breadcrumbs and Pagination,
Navigation Bar, Making the Navigation Bar Responsive.
JavaScript Effects : Drop -downs, Modal Windows, Tooltips and Popovers,
Navigation Aids: Tabs, Collapse, Affix, Carousel.
4.2 Self-Learning: Bootstrap Customization: Combining Elements in Bootstrap,
Customizing by Components, Plugins, and Variables
5 Server side -scripting
10 5.1 Introduction to PHP, PHP Tags, Adding Dynamic content, Accessing form
variables, Identifiers, user -declared variables, Data types, Constants,

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Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme

18
UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Operators, Control structures, Conditionals, Iteration constructs, Using arrays,
string manipulation and regular e xpressions, reusing code and writing
functions, Designing and creating your web database, Accessing MySQL
database from the Web with PHP, Session Control in PHP.
5.2 Self-Learning: PHP -NoSQL Database connectivity e.g. PHP -MongoDB
connectivity

6 Web Development Framework
5 6.1 MVC architecture - Introduction and applications
Server side -scripting – Laravel Framework
Managing Your Project Controllers, Layout, Views, and Other Assets, Talking
to the Database, Model Relations, Scopes, and Other Advanced Features,
Integrating Web Forms, Authenticating and Managing Your Users,
Deploying, Optimizing and Maintaining Your Application
6.2 Self-learning: Django Framework, Interactive web sites, web -based
information system, blogs, social networking sites,

Total 39

Text Books:

1. Ralph Moseley , M.T. Savliya , “Developing Web Applications”, Willy India, Second Edition,
2. “Web Technology Black Book”, Dreamtech Press, First Edition, 978 -7722 -997
3. Robin Nixon, "Learning PHP, MySQL, JavaScript, CSS & HTML5" Third
Edition,O'REILLY,2014.(http://www.ebooksbucket.com/uploads/itprogramming/javascript/Le
arning_PHP_MySQL_Javascript_CSS_HTML5__Robin_Nixon_3e.pdf)
4. Professional Rich Internet Applications: AJAX and Beyond, Dana Moore, Raymond Budd,
Edward Benson, Wiley publications. https://ebooks -it.org/0470082801 -ebook.htm
5. Jennifer Kyrnin, “SAMS Teac h Yourself Bootstrap in 24 hours”, 1st edition, Pearson
Education.
6. Martin Bean, “Laravel 5 Essentials”, PACKT Publishing Ltd


Reference Books:

1. Harvey & Paul Deitel& Associates, Harvey Deitel and Abbey Deitel , “Internet and World Wide
Web - How To Program”, Fifth Edition, Pearson Education, 2011.
2. Achyut S Godbole and Atul Kahate, “Web Technologies”, Second Edition, Tata McGraw Hill,
2012.
3. Thomas A Powell, Fritz Schneider, “JavaScript: The Complete Refe rence”, Third Edition, Tata
McGraw Hill, 2013.
4. David Flanagan, “JavaScript: The Definitive Guide, Sixth Edition”, O'Reilly Media, 2011
5. Steven Holzner, “The Complete Reference – PHP”, Tata McGraw Hill, 2008
6. Mike Mcgrath, “PHP & MySQL in easy Ste ps”, Tata McGraw Hill, 2012.
7. J. Millman and A. Grabel, “Head First HTML and CSS”, 2nd edition, O‟ Reilly.
8. Ben Frain, “Responsive Web design with HTML5 and CSS3”, PACKT Publishing Ltd.
9. L. Welling and L. Thomson, “PHP and MySQL Web Development”, 4t h edition, Adison
Wesley Professional.

Page 21

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme

19
UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Digital Material:
1. www.nptelvideos.in
2. www.w3schools.com
3. http://spoken -tutorial.org



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 comprise 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 q uestions of 2 to 5
marks will be asked.
4. Remaining questions will be selected from all the module s

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Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme

20
UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Subject
Code Subject Name Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECC DO501 Software Testing
& Quality
Assurance 03 -- -- 03 -- -- 03


Subject
Code Subject
Name Examination Scheme
Theory Marks
Term
Work Practi
cal/Or
al Ora
l Total Internal assessment End
Sem.
Exam Exam
duration
Hours Test
1 Test
2 Avg of Test 1
and Test 2
ECC DO501 Software
Testing &
Quality
Assurance 20 20 20 80 03 -- -- -- 100



Course Pre -requisite: Programming Language (C++, Java), Software Engineering

Course Objectives:

1. To provide students with knowledge in Software Testing techniques.
2. To provide knowledge of Black Box and White Box testing techniques.
3. To provide skills to design test case plans for testing software.
4. To prepare test plans and schedules for testing projects.
5. To understand how testing m ethods can be used in a specialized environment.
6. To understand how testing methods can be used as an effective tool in providing quality
assurance concerning software.


Course Outcomes:

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

1. Investigate the reason for bugs and analy se the principles in software testing to prevent and
remove bugs.
2. Understand various software testing methods and strategies.
3. Design test planning.
4. Manage the test process.
5. Apply the software testing techniques in the commercial environment.
6. Use practical knowledge of a variety of ways to test software and quality attributes

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Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme

21
UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Module
No. Unit
No. Contents Hrs.
1 Testing Methodology 8
1.1 Introduction to Software Testing: Introduction, Goals of Software Testing,
Software Testing Definitions, Model for Software Testing, Effective
Software Testing vs Exhaustive Software Testing, Software Failure Case
Studies
1.2 Software Testing Terminology and Methodology: Software Testing
Terminology, Software Testing Life Cycle (STLC), Software Testing
methodology
1.3 Verification and Validation: Verification, Verification requirements,
Validation
2 Testing Techniques 9
2.1 Black Box testing: boundary value analysis, equivalence class testing, state
table -based testing, cause -effect graphing based testing, error guessing.
2.2 White box Testing Techniques: need, logic coverage criteria, basis path
testing, graph matrices, loop testing, data flow testing, mutation testing, Static
Testing .
2.3 Validation Activities: Unit validation, Integration, Function, System,
Acceptance Testing.
2.4 Regression Testing: Progressive vs. Regressive
3 Managing the Test Process 7
3.1 Test Management: test organization, structure and of testing group, test
planning, detailed test design and test specification.
3.2 Software Metrics: need, definition and classification of software matrices.
3.3 Efficient Test Suite Management: minimizing the test suite and its benefits
4 Test Automation 4
4.1 Automation and Testing Tools: need, categorization, selection and cost in
testing tool,
4.2 Guidelines for testing tools.
5 Testing for specialized environment 5
5.1 Agile Testing, Agile Testing Life Cycle, Challenges in Agile Testing
5.2 Testing Object -Oriented Software: OOT Basics, Object -oriented Testing

6 Quality Management 6
6.1 Software Quality Management, McCall’s quality factors and Criteria
6.2 ISO9000:2000, SIX Sigma
Total 39

Text Books:
1. Software Testing Principles and Practices , Naresh Chauhan , Oxford Higher Education
2. Software Testing and quality assurance theory and practice , Kshirasagar Naik, Priyadarshi
Tripathy, Wiley Publication

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Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme

22
UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE )
Reference Books:
1. Effective Methods for Software Testing, Willam E. Perry, Wiley Publication , third edition
2. Software Testing Concepts and Tools , Nageswara Rao Pusuluri, Dreamtech press



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 comprise 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 the entire syllabus wherein sub questions of 2 to 5
marks will be asked.
4. Remaining questions will be selected from all the module s

Page 25

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme

23
UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Subject
Code Subject
Name Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECC
DO501 ASIC
Verification 03 -- 03 -- -- 03

Subject
Code Subject
Name Examination Scheme
Theory Marks
Term
Work Practi
cal/
Oral Oral Total Internal assessment End
Sem.
Exam Exam
duration
Hours
Test 1 Test 2 Avg of
Test 1 and
Test 2
ECC
DO501 ASIC
Verification 20 20 20 80 03 -- -- -- 100



Course Pre -requisite:
Digital Electronics (ECC 303)

Course Objectives:

1. To introduce the learner System Verilog concepts for verification.
2. To provide understanding of System Verilog and SVA for verification, and
understand the improvements in verification efficiency.
3. To introduce the learner advanced verification features such as practical use of
classes, randomization, checking and coverage.
4. To highlight the signif icance of verification in VLSI industry.



Course Outcomes:


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

1. Demonstrate an understanding of programmable devices and verification
methodologies.
2. Exploit new constructs in System Verilog.
3. Summarize ASIC verification techniques such as Randomization, assertions,
coverage etc.
4. Create layered test benches for digital designs in system Verilog.
5. Carry out verification of design successfully using simula tors.

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Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme

24
UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Module
No. Unit
No. Contents Hrs.
1 Programmable Devices and Verification Basics 7
1.1 Programmable Devices : Different types of Integrated Circuits - CPLD, FPGA,
ASIC, SoC (System -on-Chip), SiP (System -in-Package), MCM (Multi -Chip
Module), SoP (System -on-Package), Choices based on application and cost,
Architecture of FPGA, CPLD (Xilinx and Altera family devices) , Difference
between ASIC, FPGA and CPLD, ASIC flow and overview of types of tools
used in each stage of lifecycle
1.2 Verification Basics : Introduction, Verification Process, Verification Plan,
Verification Methodology options, Basic Testbench Functionality, Directed
Testing, Constrained -Random Stimulus, Functional Coverage, Testbench
Components, Layered Testbench, Techno logy challenges test, Verification
languages, Verification IP reuse, Verification approaches.
2 Data types, Procedural statements, Connecting the Test bench and Design 8
2.1 Data Types: Built -in Data Types, Logic Data type, Fixed -Size Arrays (Packed
and Unpacked arrays), Dynamic Arrays, Queues, associative array, array
methods – Reduction, Locator & ordering, Creating New Types with typedef,
Creating User -Defined Structures, E numerated Types, Constants, Strings,
Expression width.
2.2 Procedural statements: Procedural Statements, Tasks, Functions, and Void
Functions, routine arguments, returning from a routine, Time values.
2.3 Connecting the Test bench and Design: Separating the test -bench and design,
The Interface construct, Grouping Signals in an Interface using Modports,
Creating Interface Monitor, Stimulus timing with Clocking Block, Test -bench
design Race Condition, Program Block, Connecting it all together, Top level
Scope, Program -Module interactions.
3 Basic Object -Oriented Programming 6
3.1 OOP : Class, Creating new objects, Where to Define a Class, OOP
Terminology, Understanding Dynamic objects, Object Deallocation, using
objects, Static vs Global Variables, Class methods, Defining methods outside
class, Scoping rules, Using one class inside another, Understanding Dynamic
objects, Copying objects, public vs. local, B uilding a test -bench
4 Randomization and Inter -process Communication 7
4.1 Randomization: Randomization in system Verilog, Constraint details, Solution
probabilities, Controlling multiple constraint blocks, Valid constraints, In -line
constraints, The pre-randomize and post -randomize functions, Random number
functions, Constraints tips and techniques.
4.2 Threads and Inter -process Communication: Working with threads, disabling
threads, inter -process communication, Events, Semaphores, Mailboxes, building
a test -bench with threads and IPC.
5 System Verilog Assertions and Functional Coverage 7
5.1 System Verilog Assertions : Types of Assertions and examples, Immediate

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Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme

25
UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Assertions, Concurrent Assertions, SVA Property and Sequences, Implication
(Overlapped & Non -Overlapped) Operator and Repetition Operator, System
Verilog Assertion built -in methods ($rose, $fell, $stable, $past)
5.2 Functional Coverage : Coverage Types, Functional Coverage Strategies,
Simple Functional Coverage Example, anatomy of a cover group, triggering a
cover group, data sampling, cross coverage, generic cover groups, Coverage
Options, Parameterized Cover Groups, Analysing Coverage Data, Measuring
Coverage Statistics During Simulation.
6 System Verilog Test -bench Case studies 4
6.1 A complete System Verilog Layered Test -Bench for the simple design of
ADDER and Memory module - Test-Bench Architecture , Transaction Class ,
Generator Class , Interface , Driver Class , Monitor, Scoreboard, Environment ,
Test, Test Bench Top
Total 39

Text Books:
1. Chris Spear , “System Verilog for Verification: A guide to learning the testbench language
features”, Springer, 3rd Edition.
2. Janick Bergeron , “Writing Testbenches Using System Verilog”, Springer 2006.
3. Stuart Sutherland, Simon Davidmann, and Peter Flake , “System Veri log for Design:
A guide to using system verilog for hardware design and modeling”, Springer, 2nd
Edition.


Reference Books:
1. Ben Cohen, Srinivasan Venkataramanan, Ajeetha Kumari and Lisa Piper, “System Verilog
Assertions Handbook”, Vhdl Cohen Publishing, 3rd edition
2. S Prakash Rashinkar, Peter Paterson and Leena Singh, “System on Chip Verification
Methodologies and Techniques”, Kluwer Academic, 1st Edition.
3. System Verilog Language Reference manual
4. Samir Palnitkar, ”Verilog HDL: A guid e to Digital Design and Synthesis” second edition,
Pearson – IEEE 1364 -2001 compliant.
5. Spartan and Virtex family user manuals from Xilinx
6. Verilog Language Reference manual



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 comprise 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

Page 28

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme

26
UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Subject
Code Subject
Name Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECC
DO501 Information
Theory and
Coding 03 -- -- 03 -- -- 03

Subject
Code Subject
Name Examination Scheme
Theory Marks
Term
Work Prac
tical Oral Total Internal assessment End
Sem.
Exam Exam
duratio
n
Hours Test
1 Test
2 Avg of Test 1
and Test 2
ECC
DO501 Information
Theory and
Coding 20 20 20 80 03 -- -- -- 100

Course Pre -requisite:

Engineering Mathematics - IV ECC 401

Course Objectives:

1. To learn the principles and applications of information theory in communication
systems.
2. To study various data compression methods.
3. To model the continuous and discrete communication channels.
4. To understand the theoretical framework upon which error -control codes are designed.

Course Outcomes:

After successful completi on of the course students will be able to:

1. Comprehend the significance of this quantitative measure of information in the
communication systems.
2. Explain entropy, joint entropy, relative entropy, conditional entropy, and channel
capacity of a system.
3. Obtain knowledge in designing various source codes and channel codes.
4. Differentiate between lossy and lossless compression techniques.
5. Analyze an efficient data compression scheme for a given information source.
6. Apply the concepts of multimedia communicati on.


Module
No. Unit
No. Contents Hrs.
1 Introduction to Information Theory 07
1.1 Introduction to Probability theory: Axiomatic definition of probability,
Bayes Theorem.

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Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme

27
UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) 1.2 One random variable: Types of random variable, Discrete & Continuous,
PMF, PDF and Cumulative distribution Function, Conditional Probability,
Independent Event.
1.3 Two Random Variable: Discrete and Continuous, Joint probability density
function, Joint Distribution function, Marginal probabilities, joint
conditional probability.
1.4 Concept of amount of information, information units, Entropy: marginal,
conditional, joint and relative entropies.
1.5 Relation among entropies Mutual information, information rate.
2 Source Coding Techniques 06
2.1 Block Diagram of Digital Communication system.
2.2 Encoding techniques, Purpose of encoding, Instantaneous codes,
Construction of instantaneous codes, Kraft’s inequality, Coding efficiency
and redundancy
2.3 Source coding theorem. Construction of basic source codes: Shannon Fano
coding.
2.4 Huffman codes, Extended Huffman coding, Arithmetic Coding, Lempel -
Ziv Algorithm -LZW
3 Information Channels 06
3.1 Information Channels: Communication Channels
3.2 Channel Models, Channel Matrix, Joint probability Matrix, Binary
Symmetric Channel, System Entropies, Mutual Information, Channel
Capacity
3.3 Discrete Memoryless channels: Binary Symmetric Channel (BSC) , Channel
Capacity of BSC, redundancy and efficiency of channels.
3.4 Channel Capacity: Hartley – Shannon law.

4 Codes for error detection and correction 08


4.1 Parity check coding, Linear block codes, Error detecting and correcting
capabilities
4.2 Generator and Parity check matrices, Standard array and Syndrome
decoding, Hamming codes.
4.3 Cyclic codes: Generator polynomial, Generator and Parity check matrices,
Encoding of cyclic codes.

4.4 Syndrome computation and error detection, Decoding of cyclic codes.
5 Convolution Codes 06
5.1 Encoding and State, Tree and Trellis diagrams.
5.2 Maximum likelihood decoding of convolution codes, Viterbi algorithm,
Sequential decoding -Stack algorithm.
5.3 Interleaving techniques: Block and convolution interleaving.
6 Audio and Video Coding 06

6.1 Linear Predictive coding, code excited LPC, Perceptual coding, MPEG
audio coders, Dolby audio coders.
6.2 Video compression: Principles, Introduction to H.26 5& MPEG -4 Part 10
Video standards.
Total 39

Page 30

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme

28
UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE )

Text Books:
1. Simon Haykin, Communication Systems , 4th Edition, John Wiley and Sons.
2. Ranjan Bose, Information theory, coding and cryptography, 2nd Edition,Tata McGraw -Hill.
3. R. Togneri, C.J.S deSilva, Fundamentals of Information Theory and Coding Design , 1st
Edition,Taylor and Francis.
4. Fred Halsall, Multimedia Communications, Applications Networks Protocols and Standards ,
Pearson Education, 1st Edition, Asia.

Reference Books:

1. Bernard Sklar , Digital Communications Fundamentals and Applications, 2nd Edition , Person
Education Asia.
2. Taub and Schilling , Principles of Communication Systems , 2nd Edition , Tata McGraw -Hill.
3. Glover and Grant, Digital Communication, 2ndEdition, Pearson.
4. T. M. Cover, J. A. Thomas, Elements of Information Theory , 2nd Edition,Wiley.
5. Mark Nelson, Data Compression Book , 2nd Edition, BPB Publication.
6. Watkinson J, Compression in Video and Audio , 1st Edition, Focal Press, London.
7. R. J. McEliece, The Theory of Information and Coding , 1st Edition, Cambridge U niversity
Press.


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 comprise 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. 3.
4. Remaining questions will be selected from all the module s

Page 31

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme

29
UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Subject
Code Subject
Name Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECC
DO501 Sensors and
Applications 03 -- -- 03 -- -- 03

Subject
Code Subject
Name Examination Scheme
Theory Marks
Term
Work Prac
tical Oral Total Internal assessment End
Sem.
Exam Exam
duratio
n
Hours Test
1 Test
2 Avg of Test 1
and Test 2
ECC
DO501 Sensors and
Applications 20 20 20 80 03 -- -- -- 100

Course Pre -requisite:
1. Concept of internal characteristics of passive elements like resistor, capacitor, inductor etc.,
2. Diode and transistor
3. Working, knowledge of basic fundamentals of mechanical terms like position, strain, stress etc

Course Objectives:
1. To understand the stages of product (hardware / software) design & development
2. To learn different considerations of analog, digital & mixed circuit design
3. To be acquainted with methods of PCB design & different tools used for the same
4. To be aware of the importance of testing in product design cycle
5. To gain knowledge about various processes & importance of documentation

Course Outcomes:
After successful completion of the course students will be able to:
1. Understand the concept of sensors and its characteristics
2. Understand the practical approach in design of technology based on different sensors
3. Learn various sensor materials and technology used in designing sensors
4. Implement a prototype for demonstrating the application of the sensors
5. Demonstrate problem solving & troubleshooting skills in sensor applications

Module
No. Unit
No. Contents Hrs.
1 Sensors Fundamentals and Characteristics Sensors, Signals and Systems 06
1.1 Sensor Classification –Physical, Mechanical, Electrical, Chemical, electro -
chemical
1.2 Functional unit of sensor: receptor and transducer; Units of Measurements

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Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme

30
UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) 1.3 Sensor Characteristics, Physical Principles of Sensing Electric Charges, Fields, and
Potentials; Capacitance; Magnetism; Induction; Resistance; Piezoelectric Effect;
Hall Effect; Temperature and Thermal Properties of Material; Heat Transfer;
Light; Dynamic Models of Sensor Elements
2 Interface Electronic Circuits 06
2.1 Input Characteristics of Interface Circuits, Amplifiers, Excitation Circuits
2.2 Analog to Digital Converters, Direct Digitization and Processing, Bridge Circuits,
Data Transmission, Batteries for Low Power Sensors
2.3 Analog and digital filtering
3 Sensors in Different Application s 08
3.1 Area Occupancy and Motion Detectors; Position, Displacement, and Level;
Velocity and Acceleration; Force, Strain, and Tactile Sensors; Pressure Sensors
3.2 Temperature Sensors; Biosensors, Gas sensors, proximity sensor. (Correlation of
output with the parameter being measured in engineering terms): Only Working
principle of each type of sensors and transduction action (for example: detection
of change in temperature and conversion to electrical quantity say resistance and
corresponding correlation)
3.3
Case study of Applications of sensors in Automotive, Manufacturing plants,
digital devices such as mobile phone, house -hold instrument such as washing
machine (name of various sensors and their usability in each of these
applications).
4 Sensor Materials and Technologies 07
4.1 MEMS -cantilever based sensors and their types such as, accelerometer,
gyroscopes: Structure, material used (polysilicon, Silicon etc), working principle,
applications.
4.2 Metal oxide semiconductor (nano -particles) based sensors such as gas sensors,
biomedical sensors, chemical sensors (Structure, material used, working principle,
applications)
5 Smart Sensors 06
5.1 4-20 mA Current Loop
5.2 Types of smart Sensors, Limitations of single sensor and applicability of Array -
based sensor technology, Electronic -Nose sensors
5.3 HART, Industrial buses such as Profibus, CANbus, etc.
6 Industrial standards for the sensors and its calibration 06
6.1 Basic knowledge about IEC 60601 -1-1: Medical Electrical Equipment – Part 1 -
1, ISA S82.01, NEMA standards
6.2 PCI 6.5 to SOX compliance, HIPAA compliance, and FISMA compliance in
software development: Basic introduction about each of these standards,
Calibration and compatibility
Total 39

Text Books:

1. Jacob Fraden,Handbook of Modern Sensors Physics, Designs, and Applications, Fourth
Edition, Springer
2. D. Patranabis, Sensors and Transducers, 2nd Edition, PHI Publication, New Delhi

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) 3. Mechatronics - Ganesh S. Hegde, Published by University Science Press, 2nd Edition, An
imprint of Laxmi Publication Private Limited
4. Terry Bartelt, Process Control Systems and Instrumentation , Delmar Cengage Learning
India Edition New edition


Reference Books:

1. www.nptel.ac.in
2. G. Eranna , Metal Oxide Nanostructures as Gas Sensing Devices, Publisher: CRC Press
3. ISA S82.01 - Safety Standard for Electrical & Electronic Test, Measuring, Controlling
Related Equipment
4. http://www.ebme.co.uk/arts/safety/part6.htm



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 comprise 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.3.
4. Remaining questions will be selected from all the modules

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Subject
Code Subject Name Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECL 501 Communication
Engineering Lab -- 02 -- -- 01 -- 01



Subject
Code

Subject
Name Examinatio n Scheme
Theory
Marks
Term
Work
Pra
cti
cal
Oral
Total Internal assessment End
Sem.
Exam Exam
duration
Hours Test
1 Test
2 Avg of Test 1
and Test 2
ECL 501 Communication
Engineering
Lab -- -- -- -- -- 25 -- 25 50

Laboratory Outcomes:
After successful completion of the course students will be able to:
1. Perform hardware implementation of various analog and digital modulation methods.
2. Illustrate generation and detection of various pulse modulation techniques.
3. Apply techniques to insert Inter Symbol Interference and methods to mitigate its effect.
4. Simulate various analog and digital modulation methods.
5. Demonstrate multiplexing and de -multiplexing of signals using multiplexing techniques.
6. Illustrat e the effect of sampling frequency on the reconstructed signal.


Term Work:
At least 10 experiments covering entire syllabus 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 a re also encouraged.
Experiment 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 this schem e. The final certification and acceptance of
term work ensures satisfactory performance of laboratory work and minimum passing marks in
term work. Oral exam will be based on the entire syllabus.

Suggested List of Experiments
Sr.
No. Experiments based on laboratory setups

1 Analog Modulation and demodulation: AM
2 Analog Modulation and demodulation: FM

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Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) 3 Pre-emphasis & De-emphasis
4 Analog Pulse modulation (PAM/PWM/PPM)
5 Time division multiplexing
6 Frequency division multiplexing
7 Verification of Sampling theorem
8 Generation of Line codes
9 Binary modulation and demodulation of BASK
10 Binary modulation and demodulation of BPSK
11 Binary modulation and demodulation of BFSK
Simulation -based experiments
12 Simulation of AM and FM
13 Simulation of PAM, PPM, PWM
14 Simulation of BPSK/BASK/MSK modulation
15 Simulation of duobinary encoder, decoder


Note: Suggested List of Experiments is indicative. However, flexibilities lie with individual course
instructor 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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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Subject
Code Subject Name Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECL502 Software Engineering
and Web Technologies
Lab -- 02 -- -- 01 -- 01




Subject
Code

Subject Name Examination Scheme
Theory Marks

Term
Work
Practi
cal
Oral
Total Internal assessment End Sem.
Exam Exam
duration
Hours Test
1 Test
2 Avg of Test 1
and Test 2

ECL502 Software
Engineering
and Web
Technologies
Lab -- -- -- -- -- 25 -- 25 50


Laboratory Outcomes:
After successful completion of the course students will be able to:
1. Identify requirements and apply process model to selected case study.
2. Analy se and design models for the selected case study using UML modelling
3. Use various Software Engineering and Project Management Tools
4. Design static web pages using HTML5, CSS3, Bootstrap.
5. Apply the concepts of Client -side validation and scripts to static web pages using
JavaScript and JQuery.
6. Build dynami c web pages using Server -Side Scripting.

Term Work:

At least 10 experiments covering entire syllabus of Software Engineering and Web
Technologies (50% Software Engineering and the remaining 50% Web Technologies) 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. Experiment 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 this 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 exam will be based on the entire
syllabus.

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Suggested List of Experiments

Sr.
No. Experiment Name
Software Engineering
1 Prepare detailed statement of problem with feasibility study and identify suitable
process model for the same with justification. *
2 Develop Software Requirement Specification (SRS) document in IEEE format for the
project. *
3 Prepare schedule for the project using any project management tool *
4 Prepare RMMM plan for the project.
5 Identify scenarios & develop UML Use case and Class Diagram for the project. *
6 Develop Activity / State Transition diagram and Sequence diagram for the project. *
7 Develop test cases for the project using white box testing.
Web Technologies
1
a) Installation and Setting of LAMP / WAMP / XAMP.
b) Develop a Prototype of the selected problem statement (UI and UX).
2 Design and Implement web pages using HTML5 and CSS3 on the selected problem
statement.
3 Design Form using javascript/HTML/JQuery with client -side validations on the
selected problem statement.
4 Design Interactive web pages using PHP (any framework) with database connectivity
to MySQL on the selected problem statement.
5 Design and Implement web pages with PHP and Ajax on the selected problem
statement.
6 Enhance the web page designed in experiment number 2 using bootstrap.
 Practicals (Software Engineering) can be conducted using any open -source software tools like
Dia, Star UML, Project Libre etc.
 Students are expected to pick up one Case study/Mini Project such as hospital management,
student management, e -shop etc., and perform all the experiments based on that.

Text Books:
1. “The Unified Modelling Language User Guide” by Grady Booch, James Rumbaugh, Ivar
Jacobson, Pearson Publication, ISBN 978-81-7758 -372-4

References:
1. UML – Tutorial “ www.tutorialspoints.com/uml/ ”
2. “Fundamentals of Object -Oriented Design in UML”, Meilir Page -Jones, Pearson Education
3. UML Basics — an Introduction to the Unifie d Modeling Language – IBM “www.ibm.com › Learn ›
Rational”
4. UML in 24 Hours

Note: Suggested List of Experiments is indicative. However, flexibilities lie with individual course
instructor 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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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Subject
Code Subject
Name Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECL 503 Software Testing
& Quality
Assurance Lab -- 02 -- -- 01 -- 01



Subject
Code

Subject
Name Examination Scheme
Theory Marks
Term
Work
Pra
ctic
al
Oral
Total Internal assessment End
Sem
Exam Exam
duration
Hours Test
1 Test
2 Avg of Test
1
and Test 2
ECL 503 Software
Testing &
Quality
Assurance
Lab -- -- -- -- -- 25 -- 25 50

Laboratory Outcomes:
After successful completion of the laboratory, students will be able to:
1. Understand the system thoroughly (for requirement, designing and implementation).
2. Recognize failures in the system.
3. Investigate the reason for bugs.
4. Design test plan and test cases.
5. Execute the test cases manually and using automated tools.
6. Manage the testing process.

Term Work:
At least 10 experiments covering entire syllabus 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 a re also encouraged.
Experiment 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 this schem e. The final certification and acceptance of
term work ensures satisfactory performance of laboratory work and minimum passing marks in
term work. Practical and Oral exam will be based on the entire syllabus.

Suggested List of Experiments

Sr.
No. Experiment Name
1 Write programs in C Language to demonstrate the working of the
following
a. constructs: i) do...while ii) while....do iii) if...else iv)switch

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Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) 2 Write a program for any one function of the selected system. Introspect
the causes for its failure and write down the possible reasons for its
failure.
3 Study the system, requirement specifications and Designing the system.
4 Write the brief test plan.
5 Select the test cases(positive and negative scenarios) for the selected
system.
6 Design Test cases for the system using boundary value analysis or
equivalent class partitioning.
7 Manual execution of test cases and prepare defect reports.
8 Identify regression scenarios for automation for any one/two test case.
9 Study of any testing tool (e.g. Selenium).
10 Automate the scenario in exp 8 with a testing tool. (e.g. Selenium)
11 Study of any test management tool (e.g. Qase).
12 Writing down test cases and execution using tools (e.g. Qase).
13 Study defect management (e.g. JIRA)
14 Design quality matrix for your system.
Consider one system (e.g. Library Management System, ATM system, Banking application, Library
Management System) and use throughout the lab.


Note: Suggested List of Experiments is indicative. However, flexibilities lie with individual course
instructor 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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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Subject
Code Subject Name Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECL 503 ASIC
Verification -- 02 -- -- 01 -- 01

Subject
Code Subject
Name Examination Scheme
Theory Marks
Term
Work
Practical /
Oral
Oral
Total Internal assessment End
Sem.
Exam Exam
duration
Hours
Test
1
Test
2
Avg of Test 1
and Test 2
ECL 503 ASIC
Verification -- -- -- -- -- 25 25 -- 50

Laboratory Outcomes:
After successful completion of the laboratory students will be able to ;
1. Create test plan and test cases to verify any digital design.
2. Apply the advanced verification techniques like Randomization on set of inputs.
3. Create a transaction class and apply object -oriented programming for Verification.
4. Carry out simulation of designs using System Verilog hardware verification language.
5. Develop a complete Layered Test -bench for any digital design.

Term Work:
At least 10 experiments covering entire syllabus 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.
Experiment 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 this 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 exam will be based on the entire syllabus .
Suggested List of Experiments
Sr.
No. Experiment Name
1 Write Verilog code for 4:1 MUX using all Verilog modeling styles and simulate
the same.
2 Write Verilog code and test -bench for D flip flop and 4 bit counter and simulate
the same.
3 Create a test plan and self -checking test -bench for the ALU.
4 Create dynamic arrays, associative arrays, and queues using System Verilog.

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) 5 Write test bench using dynamic arrays, associative arrays with System
Verilog to test a synchronous 8 -bit x64K (512kBit) RAM.
6 Create an Interface for a Memory Design. Use Modport to assign direction to
signal.
7 Create class and its objects and perform deep copy and shallow copy.
8 Create an Interface for a Memory Design. (without modport)
9 To understand and create Virtual interface and use it in a class.
10 Given design specifications, draw waveform and write SVA expressions.
11 Given design specifications, draw waveform and write clock based Sequences
12 Create IPCs like events, mailbox and semaphores to interact between threads.
13 Find coverage by writing cover groups for a design.
14 Implementation of parallel processes using Fork Join/ join_any/ join_none
statement.
15 Create a layered test -bench for a simple design like Adder.

Note: Suggested List of Experiments is indicative. However, flexibilities lie with individual course
instructor 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 gi ve greater clarity to the students and they can be motivated to think
differently.

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Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme

40
UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Subject
Code Subject Name Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECL 503 Information Theory
and Coding -- 02 -- -- 01 -- 01



Subject
Code

Subject Name Examination Scheme
Theory Marks
Term
Work
Practical /
Oral
Oral
Total
Internal assessment End
Sem.
Exam Exam
duration
Hours Test
1 Test
2 Avg of Test 1
and Test 2
ECL 503 Information
Theory and
Coding -- -- -- -- -- 25 25 -- 50

Laboratory Outcomes:
After successful completion of the laboratory students will be able to
1. Understand the basics of information theory, source coding techniques and calculate Entropy of
source.
2. Implement Shannon -Hartley equation to find the upper limit on the Channel Capacity.
3. Apply various channel coding schemes & demonstrate their capabilities towards the improvement
of the noise performance of communication system.
4. Apply the knowledge of digi tal electronics and describe the error control codes like block code,
cyclic code and convolutional codes.
5. Implement audio and video compression techniques


Term Work:
At least 10 experiments covering entire syllabus of Information Theory and Coding ( ECC
DO501) 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. Experiment 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 this
scheme. The final certification and accepta nce of term work ensures satisfactory performance of
laboratory work and minimum passing marks in term work. Practical and Oral exam will be based
on the entire syllabus.

Suggested List of Experiments
Sr.
No. Experiment Name
1 Write a program for determination of entropy and mutual information of a
given channel : Noise free channel.

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Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) 2 Write a program for determination of entropy and mutual information of
a given channel: Binary symmetric channel .
3 Write a program for Shannon -Hartley equation to find the upper limit on
the Channel Capacity
4 Write a program for generation and evaluation of variable length source
coding Shannon – Fano Coding and decoding.
5 Write a program for generation and evaluation of variable length source
coding Huffman Coding and decoding.
6 Write a program for generation and evaluation of variable length source
coding LZW Coding and decoding.
7 Write a program for Forward error correction system with a given Linear
block code.
8 Write a Program for coding & decoding of Linear block codes.
9 Write a Program for coding & decoding of Cyclic codes.
10 Write a program for coding and decoding of Convolutional codes.
11 Write a program for computing the LPC coefficients.
12 Write a program for video compression.

Note: Suggested List of Experiments is indicative. However, flexibilities lie with individual course
instructor 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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Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme

42
UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Subject
Code Subject Name Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECL503 Sensors and
Applications -- 02 -- -- 01 -- 01



Subject
Code

Subject Name Examination Scheme
Theory Marks
Term
Work
Practic
al/
Oral
Oral
Total Internal assessment End
Sem.
Exam Exam
duration
Hours Test
1 Test
2 Avg of Test 1
and Test 2
ECL503 Sensors and
Applications -- -- -- -- -- 25 25 -- 50

Laboratory Outcomes:
After successful completion of the laboratory students will be able to

1. Choose proper sensor with its thorough understanding of the characteristics.
2. Design suitable signal conditioning circuit for the chosen sensors
3. Perform characterization of sensor materials and technology used in different sensors
4. Implement a prot otype for demonstrating the application of the sensors
5. Demonstrate problem solving & troubleshooting skills in sensor applications


Term Work:

At least 10 experiments covering entire syllabus of Sensors and Applications 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. Experiment 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 exam will be based on the
entire syllabus.

Suggested List of Experiments

Sr.
No. Experiment Name
1 Characteristics of temperature sensors
2 Characteristics of optical Sensors
3 I to V and V to I converter
4 Frequency to voltage converter using Op Amp

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Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme

43
UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) 5 Inverting and non -inverting amplifier using OpAmp
6 LVDT Sensor construction and characteristics
7 Instrumentation Amplifier Design
8 Filter Design (Analog)
9 Filter Design (Digital Simulation)
10 Case study on any house hold appliance
11 4-20mA Current Loop
12 Interface with Real word using A/D converters
13 Simulations of Micro -sensors
14 Simulations of micro -actuators such as micro -heater/ micro -
motors

Case study: Make a detailed report on industrial applications of sensor: Automotive, mobile phone,
consumer products or household equipment such as fridge, washing machine (anyone, all students in a
batch should take up different problem statement). The case study sh ould include:
1. Name of equipment
2. Application of selected equipment
3. Sensors used in that equipment, working principle of each type of sensor
4. Draw the complete block diagram of equipment and explain the working of each block.
5. Summary
6. References
References:
1. https://www.microchip.com/stellent/groups/sitecomm_sg/documents/devicedoc/en542976.
pdf
2. Practical Design Techniques for Sensor Signal Conditioning, 1999, Edited by Walt Kester,
Analog Devices, 1999, ISBN -0-916550 -20-6
https://www.analog.com/en/education/educat ion-library/practical -design -techniques -
sensor -signal -conditioning.html#

Note: Suggested List of Experiments is indicative. However, flexibilities lie with individual course
instructor 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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44
UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE )
Subject
Code Subject Name Teaching Scheme Credits Assigned
Theory Practical Tuto
rial Theory Practical Tutorial Total
ECL504 Professional
Communication
and Ethics -II -- 2 ⃰ + 2 Hours
(Batch -wise) -- -- 02 -- 02
*Theory class to be conducted for full class.

Subject
Code Subject Name Examination Scheme
Theory Marks
Term
Work Prac
tical Oral Total Internal assessment End
Sem.
Exam Exam
duration
Hours Test
1 Test
2 Avg of Test
1 and Test
2
ECL504 Professional
Communication
and Ethics - II -- -- -- -- -- 25 -- 25 50

Course Objectives:

Learners should be able to:
1. Discern and develop an effective style of writing important technical/business documents.
2. Investigate possible resources and plan a successful job campaign.
3. Understand the dynamics of professional communication in the form of group discussions,
meetings, etc. required for career enhancement.
4. Develop creative and impactful presentation skills.
5. Analyse personal traits, interests, values, aptitude and skills.
6. Understand the importance of integrity and develop a personal code of ethics

Course Outcomes:

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

1. Plan and prepare effective business/ technical documents which will in turn provide solid
foundation for their future managerial roles .
2. Strategize their personal and professional skills to build a professional image and meet the
demands of the industry .
3. Emerge successful in group discussions, meetings and result -oriented agreeable solutions in
group communication situations.
4. Deliver persuasive and professional presentations .
5. Develop creative thinking and interpersonal skills required for effective professional
communication.
6. Apply codes of ethical conduct, personal integrity and norms of organizational behavior .

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Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme

45
UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Module
No. Unit
No. Contents Hrs.
1 ADVANCED TECHNICAL WRITING: PROJECT/PROBLEM BASED LEARNING (PBL) 06
1.1 Purpose and Classification of Reports
Classification on the basis of:
Subject Matter (Technology, Accounting, Finance, Marketing, etc.), Time Interval
(Periodic, One -time, Special), Function (Informational, Analytical, etc.), Physical
Factors (Memorandum, Letter, Short & Long)
1.2 Parts of a Long Formal Report
Prefatory Parts (Front Matter), Report Proper (Main Body), Appended Parts (Back
Matter)
1.3 Language and Style of Reports
Tense, Person & Voice of Reports, Numbering Style of Chapters, Sections, Figures,
Tables and Equations, Referencing Styles in APA & MLA Format, Proof -reading
through Plagiarism Checkers
1.4 Definition, Purpose & Types of Proposals
Solicited (in conformance with RFP) & Unsolicited Proposals, Types (Short and
Long proposals)
1.5 Parts of a Proposal
Elements, Scope and Limitations, Conclusion
1.6 Technical Paper Writing
Parts of a Technical Paper (Abstract, Introduction, Research Methods, Findings and
Analysis, Discussion, Limitations, Future Scope and References), Language and
Formatting, Referencing in IEEE Format
2 EMPLOYMENT SKILLS 06
2.1 Cover Letter & Resume
Parts and Content of a Cover Letter, Difference between Bio -data, Resume & CV,
Essential Parts of a Resume, Types of Resume (Chronological, Functional &
Combination)
2.2 Statement of Purpose
Importance of SOP, Tips for Writing an Effective SOP
2.3 Verbal Aptitude Test
Modelled on CAT, GRE, GMAT exams
2.4 Group Discussions
Purpose of a GD, Parameters of Evaluating a GD, Types of GDs (Normal, Case -
based & Role Plays), GD Etiquette
2.5 Personal Interviews
Planning and Preparation, Types of Questions, Types of Interviews (Structured,
Stress, Behavioral, Problem Solving & Case -based), Modes of Interviews: Face -to-
face (One -to one and Panel) Telephonic, Virtual
3 BUSINESS MEETINGS 02
3.1 Conducting Business Meetings
Types of Meetings, Roles and Responsibilities of Chairperson, Secretary and
Members, Meeting Etiquette
3.2 Documentation
Notice, Agenda, Minutes

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Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme

46
UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) 4 TECHNICAL/ BUSINESS PRESENTATIONS 02
4.1 Effective Presentation Strategies
Defining Purpose, Analy zing Audience, Location and Event, Gathering, Selecting
&Arranging Material, Structuring a Presentation, Making Effective Slides, Types of
Presentations Aids, Closing a Presentation, Platform Skills
4.2 Group Presentations
Sharing Responsibility in a Team, Building the contents and visuals together,
Transition Phases
5 INTERPERSONAL SKILLS 08
5.1
Interpersonal Skills
Emotional Intelligence, Leadership & Motivation, Conflict Management &
Negotiation, Time Management, Assertiveness, Decision Making
5.2 Start -up Skills
Financial Literacy, Risk Assessment, Data Analysis (e.g. Consumer Behavior,
Market Trends, etc.)
6 CORPORATE ETHICS 02
6.1 Intellectual Property Rights
Copyrights, Trademarks, Patents, Industrial Designs, Geographical Indications
Integrated Circuits, Trade Secrets (Undisclosed Information)
6.2 Case Studies
Cases related to Business/ Corporate Ethics

Total 26

LIST OF ASSIGNMENTS FOR TERMWORK :
(In the form of Short Notes, Questionnaire/ MCQ Test, Role Play, Case Study, Quiz, etc.)

1. Cover Letter and Resume
2. Short Proposal
3. Meeting Documentation
4. Writing a Technical Paper/ Analy zing a Published Technical Paper
5. Writing a SOP
6. IPR
7. Interpersonal Skills
8. Aptitude test (Verbal Ability)
Note:

1. The Main Body of the project/book report should contain minimum 25 pages (excluding
Front and Back matter).
2. The group size for the final report presentation should not be less than 5 students or
exceed 7 students.
3. There will be an end –semester presentation based on the book report.

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) GUIDELINES FOR INTERNAL AS SESSMENT

Term Work :
Term work shall consist of minimum 8 experiments.
The distribution of marks for term work shall be as follows:
Assignment : 10 Marks
Attendance : 5 Marks
Presentation slides : 5 Marks
Book Report (hard copy ) : 5 Marks

The final certification and acceptance of term work ensures the satisfactory performance of
laboratory work and minimum passing in the term work.

Internal oral:
Oral Examination will be based on a GD & the Project/Book Report presentation.
Group Discussion :10 marks
Project Presentation :10 Marks
Group Dynamics :5 Marks


Text books and Reference books:

1. Arms, V. M. (2005). Humanities for the engineering curriculum: With selected chapters from
Olsen/Huckin: Technical writing and professional communication, second edition . Boston,
MA: McGraw -Hill.
2. Bovée, C. L., &Thill, J. V. (2021). Business communication today . Upper Saddle River, NJ:
Pearson.
3. Butterfield, J. (2017). Verbal communication: Soft skills for a digital workplace . Boston, MA:
Cengage Learning.
4. Masters, L. A., Wallace, H. R., & Harwood, L. (2011) , Personal development for life and
work . Mason: South -Western Cengage Learning.
5. Robbins, S. P., Judge, T. A., & Campbell, T. T. (2017). Organizational behaviour . Harlow,
England: Pearson.
6. Meenakshi Raman, Sangeeta Sharma (2004) Technical Communication, Principles and
Practice. Oxford University Press
7. Archana Ram (2018) Place Mentor, Tests of Aptitude For Placement Readiness. Oxford
Univ ersity Press
8. Sanjay Kumar &Pushp Lata (2018). Communication Skills a workbook, New Delhi: Oxford
University Press.

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Subject
Code Subject Name Credits
Assigned
ECM501 Mini project - 2A 02




Course
Code


Course
Name Examination Scheme
Theory Marks Term
Work Practical/
Oral Total

Internal Assessment End
Sem
Exam Exam
duration
Hours
Test 1 Test 2 Avg. of
Test 1 and
Test 2
ECM501 Mini project
- 2A -- -- -- -- -- 25 25 50

Objectives
1. To acquaint with the process of identifying the needs and converting it into the
problem.
2. To familiarize the process of solving the problem in a group.
3. To acquaint with the process of applying basic engineering fundamentals to attempt
solutions to the problems.
4. To inculcate the process of self -learn ing and research.

Outcomes:
Learner will be able to;
1. Identify problems based on societal /research needs.
2. Apply knowledge and skill to solve societal problems in a group.
3. Develop interpersonal skills to work as member of a group or leader.
4. Draw the proper inferences from available results through
theoretical/experimental/simulations.
5. Analyze the impact of solutions in societal and environmental context for sustainable
development.
6. Use standard norms of engineering practices .
7. Excel in written and oral commu nication.
8. Demonstrate capabilities of self -learning in a group, which leads to life -long learning.
9. Demonstrate project management principles during project work.


Guidelines for Mini Project
 Students shall form a group of 3 to 4 students, while forming a group shall not be
allowed less than three or more than four students, as it is a group activity.
 Students should do survey and identify needs, which shall be converted into
problem statement for mini project in consultation with faculty supervisor/head of
department/internal committee of faculties.
 Major focus of Mini -project 2 shall be towards exploration and applicability of

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) knowledge acquired in the domain areas of DLOs available for the ye ar.
 Student shall give special consideration to identify and provide solutions to the
burning societal and/or environmental issues which may affect the mankind to
larger extend.
 Students shall submit implementation plan in the form of Gantt/PERT/CPM char t,
which will cover weekly activity of mini project.


A log book to be prepared by each group, wherein group can record weekly work progress,
guide/supervisor can verify and record notes/comments.

 Faculty supervisor may give inputs to students during mini project activity; however,
focus shall be on
self- learning.
 Students in a group shall understand problem effectively, propose multiple solution and
select best possible solution in consultation w ith guide/supervisor.
 Students shall convert the best solution into working model using various components of
their domain areas and demonstrate.
 The solution to be validated with proper justification and report to be compiled in
standard format of University of Mumbai.
 With the focus on the self -learning, innovation, addressing societal problems and
entrepreneurship quality development within the students through the Mini Projects, it is
preferable that a single project of appropriate level and qual ity to be carried out in two
semesters by all the groups of the students. i.e. Mini Project 1 in semester III and IV.
Similarly, Mini Project 2 in semesters V and VI.
 However, based on the individual students or group capability, with the mentor’s
recommen dations, if the proposed Mini Project adhering to the qualitative aspects
mentioned above gets completed in odd semester, then that group can be allowed to work
on the extension of the Mini Project with suitable improvements/modifications or a
completely n ew project idea in even semester. This policy can be adopted on case -to-
case basis.


Guidelines for Assessment of Mini Project:
erm Work
 The review/ progress monitoring committee shall be constituted by head of departments of
each institute. The progress of mini project to be evaluated on continuous basis, minimum two
reviews in each semester. In continuous assessment focus shall also be on each individual
student, assessment based on individual’s contribution in group activity, their understanding
and response to questions.

Distribution of Term work marks for both semesters shall be as below;

Marks awarded by guide/supervisor based on l ogbook: 10
Marks awarded by review committee : 10
Quality of Project report : 05

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Review/progress monitoring committee may consider following points for assessment
based on either one year or half year project as mentioned in general guidelines.

One-year project:
In first semester entire theoretical solution shall be ready, including components/system
selection and cost analysis. Two reviews will be conducted based on presentation given
by students group.
 First on identification and finalization of problem
 Second on proposed solution for the problem.

In second semester expected work shall be procurement of component’s/systems,
building of working prototype, testing and validation of results based on work completed
in an earlier semester.
 First review shall base on readiness o f building working prototype.
 Second review shall be based on poster presentation -cum-demonstration of
working model in last month of the said semester.

Half -year project:
In this case students’ group shall complete project in all aspects , in a semester, including;

o Identification of need/problem
o Proposed acceptable solution for the identified problem
o Procurement of components/systems , if any,
o Building a working prototype and testing

The group shall be evaluated twice during the semester by review committee, mainly
look for the progress as;
 First review focus shall be towards identification & selection of problem and
probable solution proposal.
 Second review shall be for implementatio n and testing of solution.
(Innovative/out of box solution)

Assessment criteria of Mini Project.

Mini Project shall be assessed based on following criteria:

1. Quality of survey/ need identification
2. Clarity of Problem definition based on need.
3. Innovativeness in solutions
4. Feasibility of proposed problem solutions and selection of best solution
5. Innovativeness and out of box thinking
6. Cost effectiveness and Societal impact
7. Function al working model as per stated requirements
8. Effective use of skillset s acquired through curriculum including DLOs
9. Effective use of standard engineering practices & norms
10. Contribution of an individual as team member /Leader
11. Feasibility to deploy the solution on large scale
12. Clarity in written and oral communication

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) In one year, project , first semester evaluation may be based on first six criteria’s and
remaining may be used for second semester evaluation of performance of students in mini -
project.
In case of half year project all criteria’s in generic may be considered for performance
evaluation of students in mini -project.


Guidelines for Assessment of Mini Project Practical/Oral Examination:

Report should be prepared as per the guidelines issued by the University of Mumbai. Mini
Project shall be assessed through a presentation and demonstration of working model by the
student project group to a panel of Internal and External Examiners preferably from industry or
research organizations , having experience of more than five years approved by head of the
Institut e.

Students shall be motivated to publish a paper based on the work in Conferences/students
competitions.

Mini Project shall be assessed by team of external & internal examiner at the end of
semester/year. Performance shall be evaluated based on ;

1. Quality of pr oblem and Clarity
2. Innovativeness in solutions
3. Cost effectiveness and Societal impact
4. Implementation of working model
5. Effective use of diversified skill-set
6. Effective use of standard engineering practices & norms
7. Contribution of an individual s as a member /Leader
8. Clarity in written and oral communication

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Program Structure for Third Year Electronics Engineering
UNIVERSITY OF MUMBAI
(With Effect from 2021 -2022 )
Semester VI
Course
Code Course
Name Teaching Scheme
(Contact Hours) Credits Assigned
TH PR Tut TH Pract . Tut Total
ECC 601 Embedded Systems and RTOS 3 - - 3 - - 3
ECC 602 Artificial Intelligence 3 - - 3 - - 3
ECC 603 Computer Networks 3 - - 3 - - 3
ECC 604 Data Warehousing and Mining 3 - - 3 - - 3
ECC
DO601 Department Level Optional
Course -II 3 - - 3 - - 3
ECL 601 Embedded Systems Lab - 2 1 1
ECL602 Artificial Intelligence and
Computer Networks Lab - 2 - - 1 - 1
ECL603 Data Warehousing and Mining
Lab - 2 - - 1 - 1
ECL 604 Skill -based Laboratory - 4 - - 2 - 2
ECM601 Mini Project 2B - 4$ - - 2 - 2
Total 15 14 - 15 7 - 22
$ indicates workload of learner (Not faculty), for mini -project


Course
Code Course Name Examination Scheme
Internal Assessment End
Sem
Exam Exam
Duration (in
Hrs)
TW
Pract/
Oral
Total Test 1 Test 2 Av
ECC 601 Embedded Systems and
RTOS 20 20 20 80 03 - - 100
ECC 602 Artificial Intelligence 20 20 20 80 03 - - 100
ECC 603 Computer Networks 20 20 20 80 03 - - 100
ECC
604 Data Warehousing and
Mining 20 20 20 80 03 - - 100
ECC
DO601 Department Level
Optional Course -II 20 20 20 80 03 - - 100
ECL 601 Embedded Systems Lab - - - - - 25 25 50
ECL602 Artificial Intelligence
and Computer Networks
Lab
-
-
-
-
-
25
25
50
ECL603 Data Warehousing and
Mining Lab - - - - - 25 25 50
ECL 604 Skill -based Laboratory - - - - - 50 - 50
ECM601 Mini Project - 2B 25 25 50
Total 100 400 - 150 100 750
Department Level Optional Course - II (DO 601):
1. Machine Learning 3. Digital Signal Processing
2. Industrial Automation 4. Electronic Product Design

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE )
Subject
Code Subject
Name Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECC 601 Embedded
Systems
and RTOS 03 -- -- 03 -- -- 03

Subject
Code Subject
Name Examination Scheme
Theory Marks
Term
Work Prac
tical Oral Total Internal assessment End
Sem.
Exam Exam
duration
Hours Test
1 Test
2 Avg of Test 1
and Test 2
ECC 601 Embedded
Systems and
RTOS 20 20 20 80 03 -- -- -- 100


Course Pre -requisite:

Digital Electronics (ECC 303 )
Microprocessors and Microcontrollers (ECC 404 )

Course Objectives:

1. To study concepts involved in Embedded Hardware and Software for System realisation.
2. To learn the concepts of modern microcontroller cores like the ARM -Cortex
3. To learn Real -time p rogramming to design time -constrained embedded systems

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

1. Identify and describe various characteristic features and applications of Embedded systems.
2. Analyse and select hardware for Embedded system implementation.
3. Evaluate various communication protocols for Embedded system implementation.
4. Compare GPOS and RTOS and investigate the concepts of RTOS.
5. Evaluate and use various tools for testing and debugging embedded systems
6. Design a system for different requirements based on life -cycle for the embedded system,
keeping oneself aware of ethics and environmental issues.

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Module
No. Unit
No. Contents Hrs.
1 Introduction to Embedded Systems 03
1.1 Definition, Characteristics, Classification, Applications
1.2 Design metrics of Embedded system and Challenges in optimization of metrics
2 Embedded Hardware Elements 13
2.1 Features of Embedded cores - µC, ASIC, ASSP, SoC , FPGA, RISC and CISC
cores. Types of memories.
2.2 Case Study: ARM Cortex -M3 Features, Architecture, Programmer’s model,
Special
Registers, Operating Modes and States, MPU, Memory map and NVIC.
2.3 Low power: - Need and techniques. Case study of Low Power modes in
Cortex -M3.
2.4 Communication Interfaces: Comparative study of Serial communication
Interfaces (RS -232, RS -485), SPI, I2C, CAN, USB (v2.0), Bluetooth, Zig -Bee.
(Frame formats of above protocols are not expected)
2.5 Selection criteria of Sensors and Actuators
3 Embedded Software 12
3.1 Program Modelling concepts: DFG, CDFG, FSM.
3.2 Real-time Operating system: - Need of RTOS in Embedded system software
and comparison with GPOS, Task, Task states, Multi -tasking, Task scheduling,
and Algorithms -Preemptive SJF, Round -Robin, Priority, Rate Monotonic
Scheduling, Earliest Deadline First.
Inter -process communication: Message queues, Mailbox, Event timers.
Task synchronization: Need, Issues - Deadlock, Race condition, live Lock ,
Solutions using Mutex, Semaphores.
Shared data problem, Priority inversion.
4 Introduction to Free RTOS 03
Free RTOS Task Management features, Resource Management features, Task
Synchronization features, Event Management features, Calculate the CPU
Utilization of an RTOS, Interrupt Management features, Time Management
features.
5 Testing and Debugging Methodology 02
5.1 Testing & Debugging: Hardware testing tools, Boundary -scan/JTAG interface
concepts, Emulator.
5.2 Software Testing tools, simulator, debugger. White -Box and Black -Box
testing.
6 System Integration (Case Studies) 06
6.1 Embedded Product Design Life -Cycle (EDLC) - Waterfall Model
6.2 Hardware -Software Co -design
6.3 Case studies for Automatic Chocolate Vending Machine, Washing Machine,
Smart Card, highlighting
i) Specification requirements (choice of components), ii) Hardware architecture
iii) Software architecture
Total 39
Note: - Referring to data sheets while selecting hardware components must be encouraged .

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Text Books:

1. Dr. K. V. K. K. Prasad, “Embedded Real Time System: Concepts, Design and Programming”,
Dreamtech, New Delhi, Edition2014.
2. Rajkamal, “Embedded Systems: Architecture, Programming and Design”, McGraw Hill
Education (India) Private Limited, New Delhi, 2015, 3rd Edition .
3. Sriram Iyer, Pankaj Gupta, “Embedded Real Time Systems Programming”, Tata McGraw Hill
Publishing Company l td., 2003.
4. Joseph Yiu, “ The Definitive guide to ARM CORTEX -M3 & CORTEX -M4 Processors”,
Elsevier, 2014, 3rd Edition.
5. www.freertos.org

Reference Books:

1. David Simon, “An Embedded Software Primer”, Pearson,2009.
2. Jonathan W. Valvano, “Embedded Microcomputer Systems – Real Time Interfacing”,
Publisher - Cengage Learning, 2012 3rd Edition .
3. Andrew Sloss, Domnic Symes, Chris Wright, “ARM System Developers Guide Designing
and Optimising System Software”, Elsevier, 2004 .
4. FrankVahid, Tony Givargis, “Embedded System Design – A Unified
Hardware/SoftwareIntroduction”, John Wiley & Sons Inc., 2002.
5. Shibu K V, “Introduction to Embedded Systems”, Tata McGraw Hill Education Private
Limited, New Delhi,2009

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 comprise 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 b e selected from all the module

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Subject
Code Subject Name Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECC602 Artificial
Intelligence 03 -- -- 03 -- -- 03


Subject
Code Subject
Name Examination Scheme
Theory Marks
Term
Work Prac
tical Oral Total Internal assessment End
Sem.
Exam Exam
duration
Hours Test
1 Test
2 Avg of Test 1
and Test 2
ECC602 Artificial
Intelligence 20 20 20 80 03 -- -- -- 100



Course Pre -requisite:
Data structures and algorithms,
Discrete mathematics,
Basic Mathematics

Course Objectives:

1. To gain perspective of AI and its foundations.
2. To study different agent architectures and properties of the environment .
3. To understand the basic principles of AI towards problem solving, inference, perception,
knowledge representation, and learning.
4. To investigate probabilistic reasoning under uncertain and incomplete information.
5. To explore the current scope, potential, limitations, and implications of intelligent systems.


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

1. Identify the characteristics of the environment and differentiate between various agent
architectures.
2. Apply the most suitable search strategy to design problem solving agents .
3. Represent a natural language description of statements in logic and apply the inference rules
to design Knowledge Based agents.
4. Apply a probabilistic model for reasoning under uncertainty.
5. Comprehend various learning techniques.
6. Describe the various building blocks of an expert system for a given real wor ld problem.

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Module
No. Unit
No. Contents Hrs.
1 Introduction to Artificial Intelligence 3
1.1 Artificial Intelligence (AI), AI Perspectives: Acting and Thinking humanly,
Acting and Thinking rationally
1.2 History of AI, Applications of AI, The present state of AI, Ethics in AI
2 Intelligent Agents 4
2.1 Introduction of agents, Structure of Intelligent Agent, Characteristics of
Intelligent Agents
2.2 Types of Agents, Simple Reflex, Model Based, Goal Based, Utility Based
Agents.
2.3 Environment Types, Deterministic, Stochastic, Static, Dynamic, Observable,
Semi -observable, Single Agent, Multi Agent
3 Solving Problems by Searching 12
3.1 Definition, State space representation, Problem as a state space search,
Problem formulation, Well -defined problems
3.2 Solving Problems by Searching, Performance evaluation of search strategies,
Time Complexity, Space Complexity, Completeness, Optimality
3.3 Uninformed Search, Depth First Search, Breadth First Search, Depth Limited
Search, Iterative Deepening Search, Uniform Cost Search,
Bidirectional Search
3.4 Informed Search, Heuristic Function, Admissible Heuristic, Informed Search
Technique, Greedy Best First Search, A* Search, Local Search, Hill Climbing
Search, Simulated Annealing Search, Optimization, Genetic Algorithm
3.5 Game Playing, Adversarial Search Techniques, Mini -max Search, Alpha -Beta
Pruning
4 Knowledge and Reasoning 10
4.1 Definition and importance of Knowledge, Issues in Knowledge
Representation, Knowledge Representation Systems, Properties of Knowledge
Representation Systems
4.2 Propositional Logic (PL), Syntax, Semantics, Formal logic -connectives, truth
tables, tautology, validity, well -formed -formula,
4.3 Predicate Logic, FOPL, Syntax, Semantics, Quantification, Inference rules in
FOPL, Introduction to logic programming (PROLOG)
4.4 Forward Chaining, Backward Chaining and Resolution in FOPL
5 Reasoning Under Uncertainty 5






5
5.1 Handling Uncertain Knowledge, Random Variables, Prior and Posterior
Probability, Inference using Full Joint Distribution
5.2 Bayes' Rule and its use, Bayesian Belief Networks, Reasoning in Belief
Networks
6 Planning and Learning
6.1 The planning problem, Partial order planning, total order planning.
6.2 Learning in AI, Learning Agent, Concepts of Supervised, Unsupervised, Semi
-Supervised Learning, Reinforcement Learning, Ensemble Learning.

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Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) 6.3 Expert Systems, Components of Expert System: Knowledge base, Inference
engine, user interface, working memory, Development of Expert Systems

Total 39

Text Books:
1. Stuart J. Russell and Peter Norvig, "Artificial Intelligence A Modern Approach ―Second
Edition" Pearson Education.
2. Elaine Rich and Kevin Knight ―Artificial Intelligence‖ Third Edition, Tata McGraw -Hill
Education Pvt. Ltd., 2008.
3. George F Luger “Artificial Intelligence” Low Price Edition, Pearson Education., Fourth
edition.

Reference Books:

1. Ivan Bratko “PROLOG Programming for Artificial Intelligence”, Pearson Education,
Third Edition.
2. D. W. Patterson, Artificial Intelligence and Expert Systems, Prentice Hall.
3. Saroj Kaushik “Artificial Intelligence”, Cengage Learning.
4. Davis E. Goldberg, “Genetic Algorithms: Search, Optimization and Machine Learning”,
Addison Wesley, N.Y., 1989.
5. Patrick Henry Winston, “Artificial Intelligence”, Addison -Wesley, Third Edition.
6. N. P. Padhy, “Artificial Intelligence and Intelligent Systems”, Oxford U niversity Press.


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 the entire syllabus wherein sub questions
of 2 to 5 marks will be asked.
4. Remaining questions will be selected from all the module s

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Subject
Code Subject
Name Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECC 603 Computer
Networks 03 -- -- 03 -- -- 03

Subject
Code Subject
Name Examination Scheme
Theory Marks
Term
Work Practi
cal Oral Total Internal assessment End
Sem.
Exam Exam
duration
Hours Test
1 Test
2 Avg of Test 1
and Test 2
ECC
603 Computer
Networks 20 20 20 80 03 -- -- -- 100


Course Pre -requisite: Communication Engineering

Course Objectives:

1. To understand the fundamental concepts of computer networking, protocols, architectures, and
applications.
2. To study the multiple layer design issues, services, and state -of-the-art protocols of TCP/IP and
OSI based Architectures .
3. To help students to acquire knowledge of address in the configuration of various scales of
networks
4. To be conversant with the principles of Network Application Programming

Course Outcomes:

After successful completion of the course students will be able to:
1. Enumerate the layers of OSI model and TCP/IP model and describe their functions.
2. Identify the characteristics of network devices and media used to design networks.
3. Demonstrate the knowledge of networking protocols at various layers of TCP/IP model.
4. Classify the routing protocols and analy se how to assign the IP addresses for a given network
5. Design and configure the networks using IP addressing and sub -netting / super -netting schemes.
6. Explain the functions of Application layer and Presentation layers, their paradigms and
Protocols .


Module
No. Unit
No. Contents Hrs.
1 Introduction to Data Communications and Networking 05
1.1 Introduction to computer networks, Network software, Layers and services,
Network topologies, protocol hierarchies, design issues for the layers, connection
oriented and connectionless services
1.2 Reference models: Layer details of OSI, TCP/IP models. Communication
between layers. Internet

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) 2 Physical Layer 06
2.1 Guided Transmission Media: Twisted pair, Coaxial, Fiber optics.
2.2 Unguided media (Wireless Transmission): Radio Waves, Microwave, Bluetooth,
Infrared, Circuit and Packet Switching
2.3 Network Devices: Repeaters, Hubs, Switches, Routers and Gateways
3 Data Link Layer 08
3.1 DLL Design Issues - Services, Framing, Error Control, Flow Control, Error
Detection and Correction Elementary Data Link protocols, Stop and Wait, Sliding
Window - Go Back N, Selective Repeat .
3.2 Medium Access Control sublayer: Channel Allocation problem, Multiple access
Protocol (Aloha, Carrier Sense Multiple Access (CSMA/CD), Local Area
Networks - Ethernet (802.3) , Introduction to wireless LAN: 802.11x
4 Network layer 08
4.1 Network Layer design issues, Communication Primitives: Unicast, Multicast,
Broadcast. Network Layer Protocols: IPv4 Datagram Format, IPv4 Addresses,
IPv4 Addressing (classful l and classless), Sub -netting and Super -netting design
problems , IPv4 Protocol, IPv6 Packet Format, IPv6 Addressi ng, Transition from
IPv4 to IPv 6
4.2 Routing algorithms: Intra -domain Routing -Shortest Path, Distance Vector
Algorithms, Link State Routing , Inter -domain Routing Protocols.
4.3 Congestion control algorithms: Open loop congestion control, Closed loop
congestion control, QoS parameters.
5 Transport Layer 07
5.1 The Transport Service: Transport service primitives, Berkeley Sockets,
Connection management (Handshake), UDP, TCP, TCP state transition, TCP
timers
5.2 TCP Flow control (sliding Window), TCP Congestion Control: Slow Start
6 Application layer 05
6.1 Application layer Paradigms, Client -Server Paradigm: Application Programming
Interface
6.2 Standard Client Server applications: World Wide Web and HTTP, FTP,
Electronic Mail, TELNET, Secure Shell (SSH), Domain Name System (DNS)
Total 39

Text Books:
1. Andrew S Tanenbaum, Computer Networks -, 4th Edition, Pearson Education
2. Behrouz A. Forouzan, Forouzan Mosharrat, Computer Networks A Top down Approach,
McGraw Hill education
3. Ranjan Bose, Information Theory, Coding and Cryptography, Ranjan Bose, Tata McGraw
Hill, Second Edition.

Reference Books:

1. James F. Kurose, K. W. Ross, Computer Networking: A Top -Down Approach Featuring
the Internet, 3rd Edition, Pearson Educ ation.

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) 2. S. Keshav, An Engineering Approach to Computer Networks, 2nd Edition, Pearson
Education.
3. W. A. Shay, Understanding communications and Networks, 3rd Edition, W. A. Shay,
Cengage Learning.
4. L. L. Peterson and B. S. Davie, Computer Networks: A Systems Approach, 4th Ed,
Elsevier India


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 comprise of 6 questions, each of 20 marks.
2. Total 4 questions need to be so lved.
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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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Subject
Code Subject Name Teaching Scheme Credits Assigned

ECC604 Data
Warehousing
and Mining Theory Practical Tutorial Theory Practical Tutorial Total
03 -- -- 03 -- -- 03

Subject
Code Subject Name Examination Scheme
Theory Marks
Term
Work Pract
ical Oral Total Internal assessment End
Sem.
Exam Exam
duration
Hours Test
1 Test
2 Avg of Test 1
and Test 2
ECC604 Data
Warehousing
and Mining 20 20 20 80 03 -- -- -- 100

Course Pre -requisite:
Database Concepts, A lgorithm Design and Analysis Concepts, Data Structures

Course Objectives:
1. To identify the scope and understand the fundamentals of Data Warehousing and Mining.
2. To understand the importance of data warehouse that would assist in providing business
insights for data mining applications.
3. To instigate research interest towards advances in Data Mining.

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

1. Understand Data Warehousing fundamentals and Dimensionality modelling principles
2. Understand the use of ETL techniques and apply OLAP operations.
3. Perceive the importance of data pre -processing and basics of data mining techniques.
4. Relate to the concepts of market basket analysis in real world applications.
5. Apply classification algorithms in real world dataset for classification and prediction.
6. Visualize the concept of c lustering and its applications.


Unit
No. Contents Hrs.
1 Data Warehousing and Dimension Modelling
8 1.1 Introduction to Data Warehouse, Characteristics of Data Warehouse
1.2 Components of Data warehouse Architecture, Data warehouse architecture
1.3 Data warehouses versus Data Marts,
1.4 E-R Modelling versus Dimensional Modelling,
1.5 Data Warehouse Schemas; Star Schema, Snowflake Schema, Fact Less Fact
Table, Fact Constellation Schema.
1.6 Inside Dimensional Table, Inside Fact Table,
1.7 Update to the dimension tables. OLTP Systems versus OLAP

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) 2 ETL and OLAP
6 2.1 Major steps in ETL process
Data Extraction Methods

2.2 Data Transformation; Basic Tasks in Transformation, Major Data Transformation
Types
2.3 Data Loading Techniques
2.4 What is Multidimensional Data, OLAP Models: MOLAP, ROLAP.
2.5 OLAP operations: Slice, Dice, Rollup, Drilldown and Pivot.
3 Data Mining and Data pre -processing
6 3.1 Introduction to data mining, Architecture for Data Mining,

3.2 KDD process, Data Mining Functionalities, Interestingness Measures,
3.3 Classification of data mining system, major issues in data mining.
3.4 Data Summarization, Data Cleaning, Data Integration and Transformation,
3.5 Data Reduction, Data Discretization And Concept Hierarchy Generalization.
4 Mining frequent patterns and associations
7 4.1 Market Basket Analysis, Frequent Item sets, Closed Item sets, and Association
Rule
4.2 Frequent Pattern Mining, Efficient and Scalable Frequent Item set Mining
Methods: Apriori Algorithm, Association Rule Generation, Improving the
Efficiency of Apriori,
4.3 FP growth
4.4 Mining various kinds of association rules – Multilevel and Multidimensional
5 Classification and Prediction 5
5.1 Definition, Decision tree induction
5.2 Bayesian classification
5.3 Introduction to prediction, Linear and logistic regression techniques
5.4 Accuracy and error measures.
6 Cluster analysis 7
6.1 Definition, Distance Measures,
6.2 Clustering Algorithms: Partitioning - K means and K -medoids,
6.3 Hierarchical clustering - Agglomerative clustering and Divisive clustering
Total 39

Text Books:
1. Paulraj Ponniah, “Data Warehousing: Fundamentals for IT Professionals‖”, Wiley India.
2. Han, Kamber, "Data Mining Concepts and Techniques", Morgan Kaufmann
3. Reema Theraja, ” Data warehousing, Oxford University Press.
4. M.H. Dunham , “Data Mining Introductory and Advanced Topics", Pearson Education.

Reference Books:
1. Ian H. Witten, Eibe Frank and Mark A. Hall, "Data Mining ", 3rd Edition Morgan
Kaufmann publisher.
2. Pang -Ning Tan, Michael Steinbach and Vipin Kumar, Introduction to Data Mining",
Person Publisher.

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) 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 comprise 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 module s.

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Subject
Code Subject
Name Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECCDO601 Machine
Learning 03 -- -- 03 -- -- 03

Subject
Code Subject
Name Examination Scheme
Theory Marks
Term
Work Pract
ical Oral Total Internal assessment End
Sem.
Exam Exam
duration
Hours Test
1 Test
2 Avg of Test 1
and Test 2
ECCDO
601 Machine
Learning 20 20 20 80 03 -- -- -- 100

Course Pre -requisite:
Data Structures, Basic Probability and Statistics, Algorithms

Course Objectives:
1. To introduce Machine learning concepts
2. To develop mathematical concepts required for Machine learning algorithms
3. To understand various Regression techniques
4. To understand Clustering techniques
5. To develop Neural Network based learning models


Course Outcomes:

After successful completion of t he course students will be able to:
1. Comprehend basics of Machine Learning
2. Build Mathematical foundation for machine learning
3. Understand various Machine learning models
4. Select suitable Machine learning models for a given problem
5. Build Neural Network based models
6. Apply Dime nsionality Reduction techniques


Module
No. Unit
No. Contents Hrs.
1 Introduction to Machine Learning 6
1.1 Introduction to Machine Learning, Issues in Machine Learning, Application of
Machine Learning, Steps of developing a Machine Learning Application.
1.2 Supervised and Unsupervised Learning: Concepts of Classification, Clustering
and prediction, Training, Testing and validation dataset, cross validation,
overfitting and under fitting of model
1.3 Performance Measures: Measuring Quality of model - Confusion Matrix,
Accuracy, Recall, Precision, Specificity, F1 Score, RMSE

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) 2 Mathematical Foundation for ML 5
2.1 System of Linear equations, Norms, Inner products, Length of Vector, Distance
between vectors, Orthogonal vectors
2.2 Symmetric Positive Definite Matrices, Determinant, Trace, Eigenvalues and
vectors, Orthogonal Projections, Diagonalization, SVD and its applications.
3 Liner models 7
3.1 The least -squares method, Multivariate Linear Regression, Regularised
Regression, Using Least -Squares Regression for classification
3.2 Support Vector Machines
4 Clustering 4
4.1 Hebbian Learning rule
4.2 Expectation -Maximization algorithm for clustering
5 Classification models 12
5.1 Introduction, Fundamental concept, Evolution of Neural Networks, Biological
Neuron, Artificial Neural Networks, NN architecture, McCulloch -Pitts Model.
Designing a simple network, Non -separable patterns, Perceptron model with
Bias. Activation functions , Binary, Bipolar, continuous, Ramp. Limitations of
Perceptron.
5.2 Perceptron Learning Rule. Delta Learning Rule (LMS -Widrow Hoff), Multi -
layer perceptron network. Adjusting weights of hidden layers. Error back
propagation algorithm.
5.3 Logistic regression
6 Dimensionality Reduction 5
6.1 Curse of Dimensionality.
6.2 Feature Selection and Feature Extraction
6.3 Dimensionality Reduction Techniques, Principal Component Analysis.
Total 39

Text Books:
1. Nathalie Japkowicz & Mohak Shah, “ Evaluating Learning Algorithms: A Classification
Perspective”, Cambridge.
2. Marc Peter Deisenroth, Aldo Faisal, Cheng Soon Ong, “Ma thematics for machine
learning”
3. Samir Roy and Chakraborty, “Introduction to soft computing”, Pearson Edition.
4. Ethem Alpaydın, “Introduction to Machine Learning”, MIT Press
5. Peter Flach, “Machine Learning”, Cambridge University Press

Reference Books:
1. Tom M. Mitchell, “Machine Learning”, McGraw Hill
2. Kevin P. Murphy, “Machine Learning ― A Probabilistic Perspective”, MIT Press
3. Stephen Marsland, “Machine Learning an Algorithmic Perspective”, CRC Press
4. Shai Shalev -Shwartz, Shai Ben -David, “Understanding Machine Learning”, Cambridge
University Press
5. Peter Harrington, “Machine Learning in Action”, DreamTech Press

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Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme

67
UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) 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 comprise 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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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Subject
Code Subject Name Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECC
DO601 Industrial
Automation 03 -- -- 03 -- -- 03

Subject
Code Subject Name Examination Scheme
Theory Marks
Term
Work Prac
tical Oral Total Internal assessment End
Sem.
Exam Exam
duratio
n Hours Test
1 Test
2 Avg of Test 1
and Test 2
ECC
DO601 Industrial
Automation 20 20 20 80 03 -- -- -- 100

Course Pre -requisite:
Knowledge of Basic Electrical Engineering,
Basic Electronics,
Digital Electronics,
Electronics Measurement and Instruments

Course Objectives:

1. To m easure industrial parameters like temperature, pressure, force, displacement, speed, flow,
level, humidity and pH.
2. To explain fundamentals of process control
3. To list basic devices used in automated systems
4. To use programmable logic controllers for industrial automation
5. To d raw block diagram of supervisory control and data acquisition (SCADA) and integrate it
with PLC systems
6. To use Internet of Things for Industr ial Automation
7. To make use of robot s for industrial applications

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

1. Understand and draw block diagram of industrial automation and control system
2. Understand various automation components and systems
3. Explain architecture of industrial automation system
4. Demonstrate working of PLC and SCADA and interface the same.
5. Demonstrate the use of IOT and robot ics in Automation
6. Distinguish between the usage of custom embedded systems, FPGA s and PLCs

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Module
No. Unit
No. Contents Hrs.
1 Introduction 06
1.1 Automation overview, Requirement of automation systems,
1.2 Architecture of Industrial Automation system, Parameters of Industrial
Revolution 4.0
1.3 Introduction of PLC and supervisory control and data acquisition (SCADA)
1.4 Industrial bus systems: Mod bus & Profi -bus & Ether CAT
2 Automation components 07
2.1 Sensors for temperature, pressure, force, displacement, speed, flow, level,
humidity and pH measurement.
2.2 Actuators, process control valves, Introduction of DC and AC servo drives for
motion control. Use of Contactors, Isolators, MCB, MCCB, Earth Breakers etc
3 Computer aided measurement and control systems 08
3.1 Role of computers in measurement and control, Elements of computer aided
measurement and control, man -machine interface, computer aided process
control hardware, process related interfaces, Communication and networking,
Industrial communication systems, Data tr ansfer techniques
3.2 Computer aided process control software, Computer based data acquisition
system
3.3 Internet of things (IoT) for plant automation
4 Programmable logic controllers 06
4.1 Programmable controllers, Programmable logic controllers, Analog digital input
and output modules
4.2 PLC programming, Ladder diagram, Sequential flow chart, PLC Communication
and networking
4.3 PLC selection, PLC Installation, Advantage of using PLC for Industrial
automation, Application of PLC to process control industries.
5 Distributed Control System 06
5.1 Overview of DCS, DCS software configuration,
5.2 DCS communication, DCS Supervisory Computer Tasks,
5.3 DCS integration with PLC and Computers, Features of DCS, Advantages of
DCS
6 Overview of Industrial automation using robots 06
6.1 Basic construction and configuration of robot Pick and place robot
6.2 Welding robot.
6.3 Robots in the medical field
Total 39

Text Books:
1. S. K. Singh, “Industrial Instrumentation and Control ”, The McGraw Hill Companies
2. C.D. Johnson, “Process Control Instrumentation Technology ”, PHI
3. E. Andrew Parr, “Industrial control handbook ”, Newnem publication

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Reference Books:
1. Garry Dunning, Introduction to Programmable logic controller, Delmar Thomson Learning,
2. Norman A. Anderson, Instrumentation and Process measurements and Control 2nd Edition.
CRC Press


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 comprise 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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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Subject
Code Subject
Name Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECC
DO601 Digital Signal
Processing 03 -- -- 03 -- -- 03

Subject
Code Subject Name Examination Scheme
Theory Marks
Term
Work Prac
tical Oral Total Internal assessment End
Sem.
Exam Exam
duratio
n Hours Test 1 Test
2 Avg of Test 1
and Test 2
ECC
DO601 Digital Signal
Processing 20 20 20 80 03 -- -- -- 100


Module
No. Unit
No. Contents Hrs.
1 Discrete -Time Signal and Discrete -Time Systems 08
1.1 Introduction to Digital Signal Processing, Sampling and Reconstruction, Standard
DT Signals, Concept of Digital Frequency, Representation of DT signal using
Standard DT Signals, Signal Manipulations -shifting, reversal, scaling, addition,
multiplication.
1.2 Classification of Discrete -Time Signals, Classification of Discrete -Systems, LTI
system, Impulse Response. Prerequisite Courses :
Engineering Mathematics - III

Course Objectives:
1. To make conversant with the fundamentals of digital signal processing
2. To familiarise with the transforms used in Digital Signal Processing
3. To familiarise with the design techniques and performance analysis of digital filters
4. To introduce digital signal processors and applications

Course Outcomes:

After successful completion of this course students will be able to

1. Apply the concept of DT Signal and DT Systems.
2. Classify and analyse discrete time signals and systems
3. Implement Digital Signal Transform techniques DTFT, DFT and FFT.
4. Design FIR and IIR digital filters to meet arbitrary specifications and Develop algorithms for
implementation
5. Use signal processing techniques and digital signal processors in various applications

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) 1.3 Linear Convolution, Circular Convolution - Emphasis on graphical method, linear
convolution using Circular Convolution. Software simulation - Impulse Response,
Step Response, convolution, Correlation.
2 Frequency Domain Analysis using DTFT and Z Transform 07
2.1 Introduction to DTFT. Properties of DTFT.
2.2 Z transform - definition, properties of unilateral and bilateral Z Transform, Z
transform of standard signals, ROC, poles and zeros of transfer function, Inverse Z
transform
2.3 Analysis and characterization of LTI system using Z transform, impulse and step
response, causality, stability, stability of causal system
3 Discrete Fourier Transform and Fast Fourier Transform 06
3.1 DFT, Relation between DFT and DTFT, IDFT
3.2 Properties of DFT, circular convolution of sequences using DFT
3.3 Fast Fourier transforms (FFT), Radix -2 decimation in time and decimation in
frequency FFT algorithms, inverse FFT
4 IIR Digital Filters 09
4.1 Comparison of IIR and FIR filters, Types of IIR Filters, Analog filter
approximations: Butterworth, Chebyshev I and II
4.2 Mapping of S -plane to Z -plane, impulse invariance method, bilinear transformation
method, Design of IIR digital filters from analog filters with examples, Software
simulation – Design of IIR Filters
4.3 Analog and digital frequency transformations
5 FIR Digital Filters 05
5.1
Characteristics of FIR digital filters, Minimum Phase, Maximum Phase, Mixed
Phase and Linear Phase Filters Frequency response, location of the zero of linear
phase FIR filters
5.2 Design of FIR filters using window techniques -Rectangular, Hamming, Hanning,
Blackman, Bartlett , Software simulation – Design of FIR Filters.
6 DSP Processors and Applications 04
6.1 General purpose digital signal processors, DSP processor architecture, Selecting
digital signal processors, Special purpose DSP hardware
6.2 Applications of DSP: Radar Signal Processing and Speech Processing
Total 39

Text Books :
1. Emmanuel C. Ifeachor, Barrie W. Jervis, “ Digital Signal Processing” , A Practical Approach
by, Pearson Education – Second edition
2. Tarun Kumar Rawat, “ Digital Signal Processing” , Oxford University Press, 2015
3. S Salivahanan, A Vallavaraj, C Gnanapriya. “Digital Si gnal Processing” – TMH, 2007

Reference Books:
1. ProakisJ., Manolakis D., " Digital Signal Processing ", 4th Edition, Pearson Education
2. Sanjit K. Mitra, “Digital Signal Processing – A Computer Based Approach ”, edition 4e
McGraw Hill Education (India) Private Limited
3. Oppenheim A, Schafer R, Buck J., "Discrete Time Signal Processing ", 3rd Edition, Pearson
Education.

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) 4. B. Venkata Ramani and, M. Bhaskar, “ Digital Signal Processors, Architecture,
Programming and Applications ”, Tata McGraw Hill, 2nd edition 2017.
5. L. R. Rabiner and B. Gold, “Theory and Applications of Digital Signal Processi ng”,
Prentice -Hall of India, 2015.

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 comprise 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 module

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Subject
Code Subject
Name Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECC
DO601 Electronic
Product
Design 03 -- -- 03 -- -- 03

Subject
Code Subject
Name Examination Scheme
Theory Marks
Term
Work Pract
ical Oral Total Internal assessment End
Sem.
Exam Exam
duration
Hours Test
1 Test
2 Avg of Test 1
and Test 2
ECC
DO601 Electronic
Product
Design 20 20 20 80 03 -- -- -- 100

Course Pre -requisite: Electronic Circuits, Controls and Instrumentation
Course Objectives:
1. To understand the customer need -based product development process
2. To understand the Lab to market challenges in the product design and development
3. To understand the electronic product development stages
4. To understand the development consideration of hardware and software design and various
testing method
5. To gain knowledge about various processes, safety & qualification certifications & the
importance of documentation
Course Outcomes:
After successful completion of the course students will be able to:
1.Importance of customer -centric approac h in the electronic product development process
2. Electronic product development stages and challenges
3. Implement learning for meeting a prototype as per industry standard/specification
4. Demonstrate problem -solving & troubleshooting skills in electro nic product design
5. Prepare the relevant set of design documentati on & present it as a case study

Module
No. Unit
No. Contents Hrs.
1 CUSTOMER CENTRIC APPROACH FOR PRODUCT DEVELOPMENT 08
1.1 Prototype, MVP, commercial product and related terminologies
1.2 Basics of customer discovery process, customer and value proposition
1.3 Understand product market fit, product failure, internal challenges for product
development.
1.4 Identify the available market place for the product.
2 PRODUCT DEVELOPMENT CHALLENGES 06
2.1 Idea segmentation, product features, lab to market journey, Product development

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) stages, product development challenges.
2.2 Electronic product classification and certifications requirement. Indian and
international standard for product compliance.
3 HARDWARE DESIGN & TESTING METHODS 07
3.1 Design process, identifying the requirements, formulating specifications, design
specifications, system partitioning, functional design, architectural design,
3.2 Component selection criteria
3.3 Functional model v/s architectural model, prototyping, performance & efficiency
measures, formulating a test plan, writing all the specifications, test procedures &
test cases, design reviews, module debug & testing – black box testing, white box
testing, grey box testing
4 SOFTWARE DESIGN & TESTING METHODS 06
4.1 Types of software, the waterfall model of software development, models, metrics
& software limitations, risk abatement & failure prevention
4.2 Software bugs & testing
4.3 Good programming practice, user interface, embedded & real -time software
5 PRODUCT DEBUGGING & TESTING 06
5.1 Steps of debugging, the techniques for troubleshooting
5.2 Characterization, electromechanical components, passive components, active
components, active devices, operational amplifier, analog -to-digital conversion,
digital components,
5.3 Inspection & testing of components, process of simulation, prototyping & testing,
integration, validation & verification, EMI & EMC issues
6 THE DOCUMENTATION PROCESS 06
Definition, needs & types of documentation, records, accountability & liability,
audience, steps in preparation, presentation & preservation of documents
Methods of documentation, visual techniques, layout of documentation, bills of
materials, manuals – instructional or operating manual, service and maintenance
manual,
Fault finding tree, software documentation practices
Total 39

Text Books:

1. Phillip Kotler, Kevin Lane keller, Abraham Koshi, Mithieshwar Zha, “Marketing
management ” 13th edition
2. Alexander Osterwalder & Yves Pigneur, “Business model generation ”
3. Alex Osterwalder, Yves Pigneur, Greg Bernarda, Alan Smith, “Value Proposition
design ”
4. G. C. Loveday, “Electronic Testing & Fault Diagnosis ”, 4th edition, A. H. Wheeler
Publishing
5. James K. Peckol, “Embedded Systems – A Contemporary Design Tool ”, 1st edition,
Wiley Publication
6. J. C. Whitaker, “The Electronics Handbook ”, CRC Press

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Reference Books:

1. GIFF CONSTABLE, Talking to humans
2. R. G. Kaduskar & V. B. Baru, Electronic Product Design, 3rd edition, Wiley India
3. Kim Fowler, Electronic Instrument Design, 2nd edition, Oxford University Press
4. Robert J. Herrick, PCB Design Techniques for EMC Compliance, 2nd edition, IEEE
Press

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 comprise 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 module

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Subject
Code Subject Name Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECL 601 Embedded
Systems Lab -- 02 -- -- 01 -- 01



Subject
Code

Subject
Name Examination
Scheme
Theory
Marks
Term
Work
Practical
/Oral
Oral
Total
Internal assessment End
Sem
Exam Exam
duration
Hours Test
1 Test
2 Avg of Test 1
and Test 2
ECL 601 Embedded
Systems Lab -- -- -- -- -- 25 25 -- 50

Prerequisite:
1. Basics of Microcontroller programming
2. C programming
Laboratory Outcomes:
After successful completion of the course students will be able to:
1. Interface various sensors and actuators to embedded cores.
2. Write code using RTOS for multi -tasking Embedded systems
3. Design applications using different embedded cores


Term Work:
At least 10 experiments covering entire syllabus of Embedded Systems and RTOS (ECC
601) 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. Experiment 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 exam will be based on the entire syllabus.

Suggested List of Experiments
Sr.
No. Experiment Name
1 Interfacing of LEDs /switches with any embedded core. (8051/ARM/STM32, etc)
2 Interfacing of Temperature sensor with any embedded core. (8051/ARM/STM32, etc)

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78
UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) 3 Interfacing of LCD/ Seven segment display with any embedded core.
( 8051/ARM/STM32,etc)
4 Interfacing of Ultrasonic/Humidity sensor with any embedded core.
( 8051/ARM/STM32,etc)
5 Interfacing of a relay with any embedded core. ( 8051/ARM/STM32,etc)
6 Interfacing of a DC motor (speed and Direction control) with any embedded
core.(8051/ARM/STM32,etc)
7 Interfacing of a stepper motor (to move by a particular angle) with any embedded
core. (8051/ARM/STM32, etc)
8 Implement power management in any embedded core of your choice
9 Implement the I2C communication to connect to DS1307 RTC
10 Porting of FreeRTOS to Arduino/STM32.
11 Write a Program to Create Multiple Tasks and understand the Multitasking
capabilities of RTOS(FreeRTOS).
12 Write a Program to illustrate the Queue Management Features of FreeRTOS.
13 Write a Program to illustrate the Event Management Features of FreeRTOS.
14 Write a Program to illustrate the use of Binary and Counting Semaphore for Task
Synchronisation using FreeRTOS.
15 Build a Multitasking Real -Time Applications using the above IPC
Mechanisms (Message Queue, EventGroup, Semaphores) with FreeRTOS on
Arduino/STM32.
 Students must perform the experiments using Simulation as well as in Hardware.
 Experiments must include a minimum of 3 experiments using FreeRTOS

Note: Suggested List of Experiments is indicative. However, flexibilities lie with individual course
instructor 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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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Subject
Code Subject Name Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECL 602 Artificial
Intelligence and
Computer
Networks Lab -- 02 -- -- 01 -- 01



Subject
Code

Subject Name Examination Scheme
Theory Marks
Term
Work
Practical /
Oral
Oral
Total
Internal assessment End
Sem.
Exam Exam
duration
Hours Test
1 Test
2 Avg of Test 1
and Test 2
ECL 602 Artificial
Intelligence
and Computer
Networks Lab -- -- -- -- -- 25 25 -- 50

Laboratory Outcome s (LO)
At the end of the course, students will be able to ;
1. Identify suitable Agent Architecture for a given real world AI problem
2. Implement simple programs using Prolog.
3. Implement various search techniques for a Problem -Solving Agent.
4. Represent natural language description as statements in Logic and apply inference rules to it.
5. Construct a Bayesian Belief Network for a given problem and draw probabilistic inferences from
it.
6. Design and implement various network applications such as data transmission between client and
server, file transfer etc. using Socket Programming
7. Determine how to assign the IP addres ses and configure a network on different operating
environments.
8. Configure the networks using IP addressing and subnetting / supernetting schemes using various
OS commands

Term Work:

At least 10 experiments covering entire syllabus of Artificial Intelligence and Computer
Networks (50 % Artificial intelligence and the remaining 50% Computer Networks
experiments) should be set to have well predefined inference and conclusion. The experiments
should be student centric and attempt should be made to ma ke experiments more meaningful,
interesting. Simulation experiments are also encouraged. Experiment 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. Th e grading and term work assessment should be done based
on this 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
exam will be based on the entire syllabus.

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Suggested List of Experiments

Sr.
No. Experiment Name
Artificial Intelligence
1 Provide the PEAS description and TASK Environment for a given AI problem.
Identify suitable Agent Architecture for the problem
2 Write simple programs using PROLOG as an AI programming Language
3 Implement any one of the Uninformed search techniques
4 Implement any one of the Informed search techniques
E.g. A -Star algorithm for 8 puzzle problem
5 Implement adversarial search using min -max algorithm.
6 Write a program to implement genetic algorithm.
7 Prove the goal sentence from the following set of statements in FOPL by applying
forward, backward and resolution inference algorithms.
8 Create a Bayesian Network for the given Problem Statement and draw inferences from
it. (You can use any Belief and Decision Networks Tool for modeling Bayesian
Networks)
Computer Networks
1 Use a tool (Eg. NS2) to implement a specific Network topology with respect to the
given number of nodes and physical configuration and do:
 Graphical simulation of network with Routing Protocols and traffic consideration
(TCP, UDP)
 Analysis of network performance for quality parameters such as
packet -delive ry-ratio, delay, and throughput
2 Socket programming using TCP and/or UDP
3 Use basic networking commands in Linux (ping, tracert, nslookup, netstat, ARP, RARP,
ip, ifconfig, dig, route, etc) and set up a network environment with multiple IP addresses
and configuration of ARP tables.
Set up a network environment in Windows platform also
4 Working with routing in Linux/windows:
 View the current routing table
 Add and delete routes
 Change default gateway
Perform IP Tables for IP forwarding
5 Set up and configuration of firewalls in Linux/windows (Use IPTables)
6 Packet Sniffing using Wireshark

Note: Suggested List of Experiments is indicative. However, flexibilities lie with individual course
instructor 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 thi nk
differently.

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Subject
Code Subject Name Teaching Scheme Credits Assigned
ECL603
Data Warehousing
and
Mining Lab Theory Practical Tutorial Theory Practical Tutorial Total
-- 02 -- -- 01 -- 01



Subject
Code

Subject
Name Examinati
on Scheme
Theory
Marks
Term
Work
Practi
cal/
Oral
Oral
Total
Internal assessment End
Sem
Exam Exam
duration
Hours Test
1 Test
2 Avg of Test 1
and Test 2
ECL603
Data
Warehousing and
Mining Lab -- -- -- -- -- 25 25 -- 50

Laboratory Outcomes (LOs):
At the end of the course the student should be able to:
1. Design data warehouse using dimensional modelling
2. Perform different OLAP operations
3. Differentiate among different data mining techniques and decide the applicability for each.
4. Demonstrate classifications, prediction, etc. on datasets using open source tools
5. Perform Market basket analysis in real world data using data mining tools
6. Appreciate and visualize clustering techniques

Term Work:

At least 10 experiments covering entire syllabus of Data Warehousing and Mining 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. Experiment 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 this 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 exam will be based on the
entire syllabus.

Suggested List of Experiments
Sr.
No. Experiment Name
1 One case study on building Data warehouse/Data Mart
 Write Detailed Problem statement and design dimensional modelling
(creation of star and snowflake schema)
 Implementation of all dimension table and fact table

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) 2 Implementation of OLAP operations: Slice, Dice, Rollup, Drilldown and Pivot
for the above problem statement (experiment 1)
3 Implementation of Classification algorithm(Decision Tree/Naive Bayes)
4 Implementation of Clustering algorithm(K -means/Agglomerative)
5 Implementation of Association Rule Mining algorithm (Apriori)
6 Implementation of prediction algorithm (Linear regression)
7 Perform data Pre -processing task and Demonstrate Classification algorithm on
data sets using data mining tool (WEKA, R tool, XL Miner, Orange e tc.)
8 Perform data Pre -processing task and Demonstrate Clustering algorithm on
data sets using data mining tool (WEKA, R tool, XL Miner, Orange etc.).
9 Perform data Pre -processing task and Demonstrate Association algorithm on
data sets using data mining tool (WEKA, R tool, XL Miner, Orange etc.).
10 Demo on any cloud -based data warehousing process (an end to end process)
which gives a holistic view of Data Warehouse

Text Books:
1. Oracle database SQL reference
2. Oracle warehouse builder
3. Weka tutorial
4. Python tutorial for classification and clustering
5. Tutorial on orange “ https://orangedatamining.com/getting -started/ ”
Data sets available for download
1. Datasets for data mining
“http://www.inf.ed.ac.uk/teaching/courses/dme/html/datasets0405.html ”
2. Datasets for data mining “ https://www.kdnug gets.com/datasets/index.html ”
3. Datasets from UCI repository
4. Kaggle datasets
Web References
1. https://www.coursera.org/specializations/data -mining
2. https://www.udemy.com/course/data -mining -python/
3. https://onlinecourses.nptel.ac.in/noc21_cs06/preview


Note: Suggested List of Experiments is indicative. However, flexibilities lie with individual course
instructor to design and introduce new, innovative and challenging experiments, (limited to maximum
30% variation to the suggested list) from within the curriculum, so that, t he 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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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Subject
Code Subject Name Teaching Scheme Credits Assigned
Theory Practical Tutor
ial Theory Practical Tutorial Total
ECL604
Skill base d Lab:
Linux Server
Administration
Lab -- 2 ⃰ + 2 Hours
(Batch -wise) -- -- 02 -- 02
*Theory class to be conducted for full class



Subject
Code

Subject
Name Examinati
on Scheme
Theory
Marks
Term
Work
Practi
cal/
Oral
Oral
Total
Internal assessment End
Sem
Exam Exam
duration
Hours Test
1 Test
2 Avg of Test 1
and Test 2
ECL604
Skill base d Lab:
Linux Server
Administration
Lab -- -- -- -- -- 50 -- -- 50


Course Pre-requisites: Familiarity to computer systems, Computer Networks
Course Objectives:
1. To introduce the concept of Open -Source Software.
2. To impart knowledge and skills on various practical and theoretical aspects of Linux operating
system (OS) basics and Linux OS based server configuration, management and administration.
3. To provide a comprehensive introduction to SHELL programming, services and utilities.
4. To Introduce the Linux system Security and Virtualization technologies concepts like Hypervisor,
emulation, and application

Course Outcome s:
At the end of the course the student should be able to:
1. Understand the concept of Open -source technology and basics of Linux operating system
2. Learn various Linux Command Line administration tasks and perform file, user, group and
process management tasks
3. Learn various Linux Command Line utilities to perform storage and network management tasks
4. Learn Linux Server administration tasks and configure servers for front and backend services.
5. Analy se a given problem and apply requisite facets of SHELL progr amming in order to devise a
SHELL script to solve the problem
6. Apply security measures to protect the operating environment and explain virtualization and their
role in elastic computing.

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Module
No Topics Hours
1 Introduction to Open -Source Software
06 1.1 Need of Open Sources, Advantages and applications of Open sources, FOSS –
FOSS usage, Free Software Movement, Open -Source Software Development
Model, comparison with close source / Proprietary software, widely used open -
source software license: Apache License 2.0, BSD license, GNU General Public
License, MIT License, Mozilla Public License 2.0
1.2 Installation of Linux (Redhat -CentOS -Fedora -Ubuntu): Linux Architecture,
Kernel and shells, Boot Process, bootloader, understanding FHS of Linux,
Understanding the different types of run -levels, understanding different types of
shutdown commands,
2 Open -Source Operating System: System Administration Task
08 2.1 Basic Command Line: Working with the Bash Shell, Getting the Best of Bash,
Useful Bash Key Sequences, Working with Bash History, Performing Basic File
System Management Tasks, Working with Files and Directories, Piping and
Redirection, Finding Files, Working with Links
2.2 Process management Task: Performing Job Management Tasks, System and
Process Monitoring and Management, Managing Process Niceness, Scheduling
Jobs using CRON, Creating Backups,
2.3 Users, Groups, and Permissions: Managing Users and Groups, Commands for
User Management, Managing Passwords, Modifying and Deleting User
Accounts, Configuration Files, Creating Groups, Managing Permissions, the
Role of Ownership, Basic Permissions: Read, Write, and Execute, Advanced
Permissions, Working with Access Control Lists, Setting Default Permissions
with umask, Working with Attributes
3 Open -Source Operating System: Storage and Network Management 08
3.1 Storage Configuration and Management: Understanding Partitions and
Logical Volumes, Creating Partitions, File Systems Overview, Creating File
Systems, Mounting and Unmounting File systems, Mounting File Systems
Automatically Through fstab, Working with Logical Volumes, Creating Logical
Volume s, Resizing Logical Volumes, Creating Swap Space, Working with
Encrypted Volumes
3.2 Network Management: Understanding Network Manager, Network Manager
Configuration Files, Network Service Scripts, Networking from the Command
Line, Troubleshooting Networking, Setting Up IPv4 and IPv6, Configuring SSH,
Enabling the SSH Server, Using the SSH Client, Using PuTT Y on Windows
Machines, Configuring Key - Based SSH Authentication, Using Graphical
Applications with SSH, Using SSH Port Forwarding, Configuring VNC Server
Access

4 Open -Source Operating System: Server Administration Task 08
4.1 Configuring Server for File Sharing: What is NFS? Advantages and
Disadvantages of NFS, Configuring NFS4, Setting Up NFSv4, Mounting an NFS
Share, Making NFS Mounts Persistent, Configuring Automount, Configuring
Samba, Setting Up a Samba File Server, Samba Advanced Authenticatio n
Options, Accessing Samba Shares, Understanding the features and advantages of
FTP server, Configuring FTP server and FTP clients, Understanding FTP Basic
Commands

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) 4.2 Configuring LAMP stack: Configuring the Apache Web Server, creating a
Basic Website, Understanding the Apache Configuration Files, Apache Log
Files, Working with Virtual Hosts, Securing the Web Server with TLS
Certificates, Setting Up MySQL and PhpMyAdmin.
5 Bash Shell Script ing 10
5.1 Introducing Bash Shell Scripting: Introduction to Shells, Executing the Script,
Working with Variables and Input, Understanding Variables, Working with
Script Arguments, reading user input, Using Command Substitution, Substitution
Operators, Changing Variable Content with Pattern Matching, Performing
Calculations, Using Control Structures, using if…then…else, using case, using
while, using until, using for.
5.2 Advanced Shell Scripting: Using I/O Redirections, Functions, Arrays, Process
substitution, Commands Chaining, AWK, GAWK, SED, CUT and REGEX.
Working with web using shell script: Downloading web page as formatted text
file and parsing for data, working CURL etc.

6 Open -Source Operating System: Advanced security & Virtualization 08
6.1 SELinux and FirewallD: SELinux Overview, SELinux Tools, SELinux
Contexts, SELinux Booleans, Use SELinux port labeling to allow services to use
non-standard ports, Diagnose and address SELinux policy violations, Configure
FirewallD, Understand Firewalld Components, Setting Default Firewalld Zone,
Creating Own Services in Firewalld, Assigning Services to Firewalld Zones,
Adding Rich Rules for Network Range

6.2 Virtualization: Introduction to virtualization and its types, need of
virtualization, Benefits of Virtualization, Virtualization Implementation, Kernel
based Virtual Machines (KVM) and XE



Text Books:

1. Linux: The Complete Reference, Sixth Edition by Richard Petersen, McGraw Hill
Education; 6th edition (1 July 2017)
2. Linux Command Line and Shell Scripting Bible by Richard Blum Wiley; 3rd edition (17
March 2015)
3. Red hat Linux Networking and System Administration, by Terry Collings and Kurt Wall,
Wiley 3rd editio n 2005


Reference Books:

1. Linux Administration: A Beginner’s Guide by Wale Soyinka, McGraw -Hill Education;
8th edition (28 April 2020)
2. Red Hat Enterprise Linux 6 Administration, Real World Skills for Red Hat Administrators
by Sander van Vugt, John Wiley and Sons 2013
3. Rhcsa Red Hat Enterprise Linux 8: Training and Exam Preparation Guide, Asghar Ghori,
Endeavor Technologies (10 January 2020)

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Software Resources:
1. https://www.virtualbox.org/wiki/Downloads
2. https://getfedora.org/
3. https://www.centos.org/download/
4. https://ubuntu.com /download/desktop
5. https://developers.redhat.com/products/rhel/download

Online Resources: (browser -based terminals)
1. https://distrotest.net/
2. https://bellard.org/jslinux/
3. http://www.webminal.org/terminal/
4. https://www.tutorialspoint.com/un ix_terminal_online.php

Online Resources: (Study Resources)
1. https://training.linuxfoundation.org/training/introduction -to-linux/
2. https://www.netacad.com/courses/os -it/ndg -linux -unhatched
3. https://www.netacad.com/courses/os -it/ndg -linux -essentials
4. https://www.edx.org/course/fundamentals -of-red-hat-enterprise -linux
5. https://linuxhandbook.com/tag/bash -beginner/
6. https://www.learnshell.org/
7. https://itsfoss.com/shell -scripting -resources/

Suggested List of Experiment s
Sr.
No Experiment Title
1 Installation of Red HAT/Centos/Fedora Linux operating system.
a. Partitioning drives
b. Configuring boot loader (GRUB/LILO)
c. Updating and upgrading the system
d. Shutting down and reboot
2 Learning and executing Linux commands for
a. Interacting with BASH shell and built -in shell variables
b. Navigation
c. File and directory management
d. Working with links
e. Searching files
3 Learning and executing Linux commands for Process management
tasks like
a. Executing a process
b. Getting process info
c. Killing a process
d. Changing process attributes
e. Managing foreground and background processes
f. Scheduling automated jobs using CRON jobs
4 Learning and executing Linux commands for managing Users,
Groups, and Permissions

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) a. Creating, modifying and deleting user s
b. Creating, modifying and deleting groups
c. Managing file permissions, attributes and ownerships
d. Setting Default Permissions with umask
e. Setting up access control list for files and directories

5 Learning and executing Linux commands for managing Storage
drives in Linux environment
a. Create partitions
b. Install file system
c. Mount and unmount partitions manually from CLI
d. Automated mounting using fstab
e. Encrypt volumes

6 Learning and executing Linux comm ands for managing
networking in Linux environment
a. Enable networking services from command line
b. Configure IP and other network settings from command line.
c. Configure IP and other network settings from configuration
files.
d. Configure SSH based services for CLI and GUI access on
remote machines.
7 Install and configure an NFS server and mount NFS shares on
Linux Environment
8 Install and configure files sharing services using FTP server
9 Install and configure Samba file server and share files across local
network.
10 Install and configure a LAMP stack and deploy a full stack web
application on it with SSL/TLS security.
11 Shell Scripting:
a. Write a shell script program to display list of user currently
logged in.
b. Write a shell script program to display “HELLO WORLD”.
c. Write a shell script program to develop a scientific calculator.
d. Write a shell Script program to check whether the given number
is even or odd.
e. Shell script Program to search whether element is pres ent is in the
list or no
f. Shell script program to check whether given file is a directory or
not.
g. Shell script program to count number of files in a Directory.
h. Shell script program to copy contents of one file to another.
i. Create directory, write contents on that and Copy to a suitable
location in your home directory.
j. Use a pipeline and command substitution to set the length of a
line in file to a variable.
k. Write a program using sed command to print duplicated lines of

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Input.
l. Write a grep/egrep script to find the number of words character,
words and lines in a file.
m. Write an awk script to develop a Fibonacci series.
n. Write an awk script to display the pattern of given string or
number.
o. Write a shell script program to check variable attributes of file
and proces ses.
p. Write a shell script program to check and list attributes of
processes.
q. Shell Script program to implement read, write, and execute
permissions.
r. Shell Script program for changing process priority.
12 Configuring security for the Linux Server environment using
SELinux and FirewallD
13 Install and set up KVM to run isolated instances of other operating
systems inside a Linux host system

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Subject Code Subject Name Credits
Assigned
ECM 601 Mini project – 2B 02




Subject
Code


Subject
Name Examination Scheme
Theory Marks Term
Work Practical/
Oral Total

Internal Assessment End
Sem
Exam Exam
duration
Hours
Test 1 Test 2 Avg. of Test
1 and
Test 2
ECM6 01 Mini project –
2B -- -- -- -- -- 25 25 50

Objectives
1. To acquaint with the process of identifying the needs and converting it into the problem.
2. To familiarize the process of solving the problem in a group.
3. To acquaint with the process of applying basic engineering fundamentals to attempt solutions
to the problems.
4. To inculcate the process of self -learning and research.

Outcomes:
Learner will be able to;
1. Identify problems based on societal /research needs.
2. Apply knowledge and skill to solve societal problems in a group.
3. Develop interpersonal skills to work as member of a group or leader.
4. Draw the proper inferences from available results through theoretical/experimental/simulations.
5. Analyze the impact of solutions in societal and environmental context for sustainabl e development.
6. Use standard norms of engineering practices.
7. Excel in written and oral communication.
8. Demonstrate capabilities of self -learning in a group, which leads to life -long learning.
9. Demonstrate project management principles during project work.


Guidelines for Mini Project
 Students shall form a group of 3 to 4 students, while forming a group shall not be allowed
less than three or more than four students, as it is a group activity.
 Students should do survey and identify needs, which shall be converted into problem
statement for mini project in consultation with faculty supervisor/head of
department/internal committee of faculties.
 Major focus of Mini -project 2 shall be towards exploration and applicability of knowledge
acquired in the domain a reas of DLOs available for the year.
 Student shall give special consideration to identify and provide solutions to the burning
societal and/or environmental issues which may affect the mankind to larger extend.

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE )  Students shall submit implementation plan i n the form of Gantt/PERT/CPM chart, which
will cover weekly activity of mini project.


A log book to be prepared by each group, wherein group can record weekly work progress,
guide/supervisor can verify and record notes/comments.

 Faculty supervisor may give inputs to students during mini project activity; however, focus shall
be on
self- learning.
 Students in a group shall understand problem effectively, propose multiple solution and select
best possible solution in consultation w ith guide/supervisor.
 Students shall convert the best solution into working model using various components of their
domain areas and demonstrate.
 The solution to be validated with proper justification and report to be compiled in standard format
of Univers ity of Mumbai.
 With the focus on the self -learning, innovation, addressing societal problems and
entrepreneurship quality development within the students through the Mini Projects, it is
preferable that a single project of appropriate level and quality to be carried out in two semesters
by all the groups of the students. i.e. Mini Project 1 in semester III and IV. Similarly, Mini Project
2 in semesters V and VI.
 However, based on the individual students or group capability, with the mentor’s
recommendations , if the proposed Mini Project adhering to the qualitative aspects mentioned
above gets completed in odd semester, then that group can be allowed to work on the extension of
the Mini Project with suitable improvements/modifications or a completely new proj ect idea in
even semester. This policy can be adopted on case -to-case basis.


Guidelines for Assessment of Mini Project:
erm Work
 The review/ progress monitoring committee shall be constituted by head of departments of each
institute. The progress of mini project to be evaluated on continuous basis, minimum two reviews in
each semester. In continuous assessment focus shall also be on each individual student, assessment
based on individual’s contribution in group activity, their understanding and response to questions.

Distribution of Term work marks for both semesters shall be as below;

Marks awarded by guide/supervisor based on logbook: 10
Marks awarded by review committee : 10
Quality of Project report : 05

Review/progress monitoring committee may consider following points for assessment based on
either one year or half year project as mentioned in general guidelines.

One-year project:
In first semester entire theoretical solution shall be ready, including components/system selection

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) and cost analysis. Two reviews will be conducted based on presentation given by students group.
 First on identification and finalization of problem
 Second on proposed solution for the problem.

In second semester expected work shall be procurement of component’s/systems, building of
working prototype, testing and validation of results based on work completed in an earlier
semester.
 First review shall base on readiness of building working prototype.
 Second review s hall be based on poster presentation -cum-demonstration of working
model in last month of the said semester.

Half -year project:
In this case students’ group shall complete project in all aspects , in a semester, including;

o Identification of need/problem
o Proposed acceptable solution for the identified problem
o Procurement of components/systems , if any,
o Building a working prototype and testing

The group shall be evaluated twice during the semester by review committee, mainly look for the
progress as;
 First review focus shall be towards identification & selection of problem and probable
solution proposal.
 Second review shall be for implementation and testing of solution. (Innovative/out of box
solution)

Assessment criteria of Mini Project.

Mini Projec t shall be assessed based on following criteria:

1. Quality of survey/ need identification
2. Clarity of Problem definition based on need.
3. Innovativeness in solutions
4. Feasibility of proposed problem solutions and selection of best solution
5. Innovativeness and out of box thinking
6. Cost effectiveness and Societal impact
7. Function al working model as per stated requirements
8. Effective use of skillsets acquired through curriculum including DLOs
9. Effective use of standard engineering practices & norms
10. Contribution o f an individual as team member /Leader
11. Feasibility to deploy the solution on large scale
12. Clarity in written and oral communication

In one year, project , first semester evaluation may be based on first six criteria’s and remaining may be
used for second sem ester evaluation of performance of students in mini -project.
In case of half year project all criteria’s in generic may be considered for performance evaluation of
students in mini -project.

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UNIVERSITY OF MUMBAI, B.E (ELECTRONICS AND COMPUTER SCIENCE ) Guidelines for Assessment of Mini Project Practical/Oral Examination:

Report should be prepared as per the guidelines issued by the University of Mumbai. Mini Project shall
be assessed through a presentation and demonstration of working model by the student project group to a
panel of Internal and External Exam iners preferably from industry or research organizations , having
experience of more than five years approved by head of the Institut e.

Students shall be motivated to publish a paper based on the work in Conferences/students
competitions.

Mini Project shall be assessed by team of external & internal examiner at the end of semester/year.
Performance shall be evaluated based on ;

1. Quality of problem and Clarity
2. Innovativeness in solutions
3. Cost effectiveness and Societal impact
4. Implementation of working model
5. Effective use of diversified skill-set
6. Effective use of standard engineering practices & norms
7. Contribution of an individual s as a member /Leader
8. Clarity in written and oral communication