Final S Y ECS Sem III IV 1 Syllabus Mumbai University

Page 1

Page 2

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.

Page 3

AC- 23/07/2020
Item No. - 123
UNIVERSITY OF MUMBAI















Scheme
for
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 OF SCIENCE & TECHNOLOGY

(As per AICTE guidelines with effect from the academic year 2019–2020) Your text here 1

Page 4

Programme Structure for Bachelor of Engineering (B.E.) Electronics and Computer Science
UNIVERSITY OF MUMBAI , B.E. (ELECTRONICS AND COMPUTER SCIENCE (REV 2019 'C' SCHEM E) 2
Program Structure for Second Year Electronics and Computer Science
UNIVERSITY OF MUMBAI
(With Effect from 2020-2021)

Semester III
Course Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
TH PR Tut TH Pract Tut Total
ECC 301 Engineering Mathematics - III 3 - 1 3 - 1 4
ECC 302 Electronic Devices 3 - - 3 - - 3
ECC 303 Digital Electronics 3 - - 3 - - 3
ECC 304 Data Structures and Algorithms 3 - - 3 - - 3
ECC 305 Database Management Systems 3 - - 3 - - 3
ECL301 Electronic Devices Lab - 2 - - 1 - 1
ECL302 Digital Electronics Lab - 2 - - 1 - 1
ECL303 Data Structures and Algorithms
Lab - 2 - - 1 - 1
ECL304 Database Management Systems
lab - 2 - - 1 - 1
ECL305 Skill-base Lab - OOPM: (C++
and Java) - 4 - - 2 - 2
ECM301 Mini project - 1A - 4$ - - 2 2
Total 15 16 1 15 08 1 24
$ indicates workload of learner(Not faculty), for mini-project
Course
Code Course
Name Examination Scheme
Theory
Internal Assessment End
Sem
Exam Exam
Duration
(in Hrs) TW Pract/Oral Total Test 1 Test 2 Av
ECC 301 Engineering
Mathematics - III 20 20 20 80 03 25 - 125
ECC 302 Electronic Devices 20 20 20 80 03 - - 100
ECC 303 Digital Electronics 20 20 20 80 03 - - 100
ECC 304 Data Structures and
Algorithms 20 20 20 80 03 - - 100
ECC 305 Database
Management
Systems 20 20 20 80 03 - - 100
ECL 301 Electronic Devices
Lab - - - - - 25 25 50
ECL 302 Digital Electronics
Lab - - - - - 25 25 50
ECL 303 Data Structures and
Algorithms Lab - - -- - - 25 25 50
ECL 304 Database
Management
systems lab - - - - - 25 25 50
ECL 305 Skill base Lab -
OOPM:
(C++ and Java) - - - - - 50 50
ECM301 Mini Project -1A 25 25 50
Total - - 100 400 - 200 125 825

Page 5

Programme Structure for Bachelor of Engineering (B.E.) Electronics and Computer Science
UNIVERSITY OF MUMBAI , B.E. (ELECTRONICS AND COMPUTER SCIENCE (REV 2019 'C' SCHEM E) 3
Program Structure for Second Year Electronics and Computer Science
UNIVERSITY OF MUMBAI
(With Effect from 2020-2021)

Semester IV
Course
Code Course
Name Teaching Scheme
(Contact Hours) Credits Assigned
TH PR Tut TH Pract Tut Total
ECC 401 Engineering
Mathematics - IV 3 - 1 3 - 1 4
ECC 402 Electronic Circuits 3 - - 3 - - 3
ECC 403 Controls and Instrumentation 3 - - 3 - - 3
ECC 404 Microprocessors and
Microcontrollers 3 - - 3 - - 3
ECC 405 Discrete Structures and
Automata Theory 3 - - 3 - - 3
ECL401 Electronic Circuits Lab - 2 - - 1 - 1
ECL402 Controls and Instrumentation
Lab - 2 - - 1 - 1
ECL403 Microprocessors and
Microcontrollers Lab - 2 - - 1 - 1
ECL404 Skill base Lab:
Python programming - 4 - - 2 - 2
ECM401 Mini project - 1B - 4$ - - 2 - 2
Total 15 14 1 15 7 1 23
$ indicates workload of learner(Not faculty), for mini project
Course
Code Course Name Examination Scheme
Theory
Internal Assessment End
Sem
Exam Exam
Duration
(in Hrs) TW Pract/
Oral Total
Test 1 Test 2 Av
ECC 401 Engineering
Mathematics - IV 20 20 20 80 03 25 - 125
ECC 402 Electronic Circuits 20 20 20 80 0a3 - - 100
ECC 403 Controls and
Instrumentation 20 20 20 80 03 - - 100
ECC 404 Microprocessors and
Microcontrollers 20 20 20 80 03 - - 100
ECC 405 Discrete structures and
Automata Theory 20 20 20 80 03 - - 100
ECL 401 Electronic Circuits Lab - - - - - 25 25 50
ECL 402 Controls and
Instrumentation Lab - - - -- - 25 25 50
ECL 403 Microprocessors and
Microcontrollers Lab - - -- - - 25 25 50
ECL 404 Skill-base Lab:
Python programming 50 - 50
ECM 401 Mini-project - 1 B 25 25 50
Total - - 100 400 - 175 100 775

Page 6

Programme Structure for Bachelor of Engineering (B.E.) Electronics and Computer Science
UNIVERSITY OF MUMBAI , B.E. (ELECTRONICS AND COMPUTER SCIENCE (REV 2019 'C' SCHEM E) 4
Program Structure for Third Year Electronics and Computer Science
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 Business Communication and
Ethics - 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 Business Communication
and Ethics - - - - - 50 - 50
ECM501 Mini project - 2A 25 25 50
Total 100 400 - 150 100 750

Department Level Optional Couse - I (DO 501):
1. Software Testing and Quality Assurance 3. Information Theory and Coding
2. ASIC Verification 4. Sensors and Applications

Page 7

Programme Structure for Bachelor of Engineering (B.E.) Electronics and Computer Science
UNIVERSITY OF MUMBAI , B.E. (ELECTRONICS AND COMPUTER SCIENCE (REV 2019 'C' SCHEM E) 5
Program Structure for Third Year Electronics and Computer Science
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 base Lab:(DLO -II) Lab - 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 base Lab:(DLO-II)
Lab - - - - - 50 - 50
ECM601 Mini Project - 2B 25 25 50
Total 100 400 - 150 100 750

Department Level Optional Couse - II (DO 601):
1. Machine Learning 3. Digital Signal Processing
2. Industrial Automation 4. Electronic Product Design

Page 8

Programme Structure for Bachelor of Engineering (B.E.) Electronics and Computer Science
UNIVERSITY OF MUMBAI , B.E. (ELECTRONICS AND COMPUTER SCIENCE (REV 2019 'C' SCHEM E) 6
Program Structure for Final Year Electronics and Computer Science
UNIVERSITY OF MUMBAI
(With Effect from 2022-2023)

Semester VII
Course
Code Course
Name Teaching Scheme
(Contact Hours) Credits Assigned
TH PR Tut TH Pract Tut Total
ECC 701 VLSI Design 3 - - 3 - - 3
ECC 702 Internet of Things 3 - - 3 - - 3
ECC
DO701 Department Level Optional
Course - III 3 - - 3 - - 3
ECC
DO702 Department Level Optional
Course - IV 3 - - 3 - - 3
ECC
IO701 Institute Level Optional Course
- I 3 - - 3 - - 3
ECL701 VLSI Design Lab - 2 1 1
ECL702 Internet of Things Lab - 2 - - 1 - 1
ECL703 Department Level Optional
Course - III Lab - 2 - - 1 - 1
ECP701 Major Project - I - 6 - - 3 - 3
Total 15 12 - 15 6 - 21


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
701 VLSI Design 20 20 20 80 03 - - 100
ECC
702 Internet of Things 20 20 20 80 03 - - 100
ECC
DO701 Department Level
Optional Course - III 20 20 20 80 03 - - 100
ECC
DO702 Department Level
Optional Course - IV 20 20 20 80 03 - - 100
ECC
IO701 Institute Level Optional
Course - I 20 20 20 80 03 - - 100
ECL701 VLSI Design Lab - - - - - 25 25 50
ECL702 Internet of Things Lab - - - - - 25 25 50
ECL703 Department Level
Optional Course - III
Lab - - - - - 25 25 50
ECP701 Major Project - I - - - - - 50 - 50
Total 100 400 - 125 75 700

Department Level Optional Courses:
Department Level Optional Course -III (DO701) Department Level Optional Course -IV (DO702)
1. Deep Learning 1. Cloud Computing
2. Image Processing 2. Mobile Communication
3. Big Data Analytics 3. Cyber Security
4. Advanced Database Manage ment Systems 4. BlockChain Technology

Page 9

Programme Structure for Bachelor of Engineering (B.E.) Electronics and Computer Science
UNIVERSITY OF MUMBAI , B.E. (ELECTRONICS AND COMPUTER SCIENCE (REV 2019 'C' SCHEM E) 7
Program Structure for Final Year Electronics and Computer Science
UNIVERSITY OF MUMBAI
(With Effect from 2022-2023)

Semester VIII
Course
Code Course
Name Teaching Scheme
(Contact Hours) Credits Assigned
TH PR Tut TH Pract Tut Total
ECC 801 Robotics 3 - - 3 - - 3
ECC
DO801 Department Level Optional
Course -V 3 - - 3 - - 3
ECC
DO802 Department Level Optional
Course -VI 3 - - 3 - - 3
ECC
IO801 Institute Level Optional Course
- II 3 - - 3 - - 3
ECL 801 Robotics Lab - 2 - - 1 - 1
ECL 802 Department Level Optional
Course - V Lab - 2 - 1 1
ECP 801 Major Project II - 12 - - 6 - 6
Total 12 16 - 12 8 - 20


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 801 Robotics 20 20 20 80 03 - - 100
ECC
DO801 Department Level
Optional Course -V 20 20 20 80 03 - - 100
ECC
DO802 Department Level
Optional Course -VI 20 20 20 80 03 - - 100
ECC
IO801 Institute Level Optional
Course - II 20 20 20 80 03 - - 100
ECL 801 Robotics Lab - - - - 03 25 25 50
ECL 802 Department Level
Optional Course - V
Lab - - - - - 25 25 50
ECP 801 Major Project II - - - - - 50 100 150
Total 80 320 - 100 150 650

Department Level Optional Courses:

Department Level Optional Course -V (DO801) Department Level Optional Course -VI (DO802)
1. MEMS Technology 1. Advanced Networking Technologies
2. Natural Language Processing 2. Multimedia and Virtual Reality
3. 3-D Printing and Design 3. Quantum Computing
4. Advanced Algorithms 4. System Security

Page 10

Programme Structure for Bachelor of Engineering (B.E.) Electronics and Computer Science
UNIVERSITY OF MUMBAI , B.E. (ELECTRONICS AND COMPUTER SCIENCE (REV 2019 'C' SCHEM E) 8

Note:
1. Students group and load of faculty per week.
Mini Project 1 and 2:
Students can form groups with minimum 2 (Two) and not more than 4 (Four)
Faculty Load: 1 hour per week per four groups

Major Project 1 and 2:
Students can form groups with minimum 2 (Two) and not more than 4 (Four)
Faculty Load: In Semester VII– ½ hour per week per project group
In Semester VIII – 1 hour per week per project group

2. Out of 4 hours/week allotted for the mini-projects 1-A and 1-B, an expert lecture of at least
one hour per week from industry/institute or a field visit to nearby domain specific industry
should be arranged.

3. Mini-projects 2-A and 2-B should be based on DLOs.

Page 11

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019)
'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 1

AC-________________

Item No. ____________

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 OF SCIENCE & TECHNOLOGY

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

Page 12

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019)
'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 2
AC___________
Item No. ______
UNIVERSITY OF MUMBAI

Syllabus for Approval

Sr. No. Heading Particulars
1 Title of the
Course Second Year BE in Electronics & Computer Science
2 Eligibility for Admission First Year Engineering passed in line with the
Ordinance 0.6242
3 Passing Marks 40%
4 Ordinances / Regulations
( if any) Ordinance 0.6242
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: 2020 -2021

Date: 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

Page 13

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019)
'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 3
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 th e
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 institutes, 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 teach ing. 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. However, 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 information and
knowledge across various domains of the said program, which led to h eavily 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 credits of the entire program will be of 170, wherein focus is not only on providing kn owledge 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

Page 14

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019)
'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 4
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'
respectively, 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 redu ced 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 o f all the institute s are required to motivate and encourage
learners to use additional online resources available on platforms such as NPTEL/ Swayam.
Learners can be advised to take up online courses and on successful completion , they are
required to submi t 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

Page 15

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 5
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 and 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 i n the 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 be haviour. 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 survival 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 s here,
these are design of model cur riculum 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 , virtual 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 process has a crucial role to play.
The BoS of Electronics Engineeri ng 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 Board of Studies of Mumbai
University feel privileged to present the r evised 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 curriculkum. Some of
the highlights of the revision are;
i. Curriculum ha s 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 provided 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 introduced, 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 dynami cs, develop
leadership 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 , nurtur e
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 , facilitating
the students for self learning and achieve the Graduate Attribute (GA) specified by National Board of accreditation (NBA)
i.e. lifelong learning.

Thus, this re vision 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, thes graduates shall shou lder the responsibilities of proliferation of fut ure technologies and
support in 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, experts 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 for this noble cause.
.

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

Page 16

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 6
Program Structure for Second Year Electronics and Computer Science
UNIVERSITY OF MUMBAI
(With Effect from 2020 -2021)

Semester III

Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECC 301 Engineering
Math ematics - III 3 - 1 3 - 1 4
ECC 302 Electronic Devices 3 - - 3 - - 3
ECC 303 Digital Electronics 3 - - 3 - - 3
ECC 304 Data Structures and
Algorithms 3 - - 3 - - 3
ECC 305 Database
Management Systems 3 - - 3 - - 3
ECL301 Electronic Devices
Lab - 2 - - 1 - 1
ECL302 Digital Electronics
Lab - 2 - - 1 - 1
ECL303 Data Structures and
Algorithms Lab - 2 - - 1 - 1
ECL304 Database
Management Systems
lab - 2 - - 1 - 1
ECL305 Skill -based Lab
course: OOPM (C++
and Java) - 4 - - 2 - 2
ECM301 Mini -project -1 A - 4$ - - 2 - 2
Total 15 16 1 15 08 1 24
$ indicates workload of learner(Not faculty), for mini -project

Page 17

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 7


Course
Code

Course
Name Examination Scheme
Theory
Term
Work Practical
/Oral

Total Internal
Assessment End
Sem.
Exam Exam.
Duration
(inHrs) Test
1 Test
2 Avg.
ECC 301 Engineering
Math ematics
III 20 20 20 80 03 25 - 125
ECC 302 Electronic
Devices 20 20 20 80 03 - - 100
ECC 303 Digital
Electronics 20 20 20 80 03 - - 100
ECC 304 Data
Structures
and
Algorithms 20 20 20 80 03 - - 100
ECC 305 Database
Management
Systems 20 20 20 80 03 - - 100
ECL 30 1 Electronic
Devices Lab - - - - - 25 25 50
ECL 30 2 Digital
Electronics
Lab - - - - - 25 25 50
ECL 30 3 Data
Structures
and
Algorithms
Lab - - -- - - 25 25 50
ECL 30 4 Database
Management
systems lab - - - - - 25 25 50
ECL 30 5 Skill -based
Lab : OOPM
(C++ and
Java) - - - - - 50 - 50
ECM 301 Mini Project -
1A 25 25 25
Total - - 100 400 - 200 125 825

Page 18

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 8
Note:
1. Students group and load of faculty per week.
Mini Project 1 and 2:
Students can form groups with minimum 3 (Three) and not more than 4 (Four) .
Faculty Load :1 hour per week per four groups
Major Project 1 and 2:
Students can form groups with minimum 2 (Two) and not more than 4 (Four)
Faculty Load : In Semester VII– ½ hour per week per project group
In Semester VIII – 1 hour per week per project group
2. Out of 4 hours/week allotted for the mini -projects 1 -A and 1 -B, an expert lecture of at least one hour per
week from industry/institute or a field vis it to nearby domain specific industry should be arranged.

3. Mini -projects 2 -A and 2 -B should be based on DLOs .

Page 19

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 9
Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract. Tutorial Theory TW/Pract. Tutorial Total
ECC301 Engineering
Mathematics - III 03 - 01 03 - 01 04


Course
Code Course Name Examination Scheme
Theory
Term
Work Pract. Oral Total Internal Assessment End
Sem
Exam Test
1 Test 2 Avg of
Test 1
& 2
ECC301 Engineering
Mathematics -III 20 20 20 80 25 - - 125


Pre-requisite:

Engineering Mathematics -I, Engineering Mathematics -II, Scalar and Vector Product: Scalar and vector pr oduct
of three and four vectors

Course Objectives: The course is aimed

1. To familiarize with the Laplace Transform, Inverse Laplace Transform of various functions, and its
applications.
2. To acquaint with the concept of Fourier Series, its complex form and enhance the problem solving skills
3. To familiarize the concept of complex v ariables, C -R equations, harmonic functions, its conjugate and
mapping in complex plane.
4. To understand the basics of Linear Algebra and its applications
5. To use concepts of vector calculus to analyze and model engineering problems.


Course Outcomes: On suc cessful completion of course learner will be able to;

1. Apply the concept of Laplace transform to solve the real integrals in engineering problems.
2. Apply the concept of inverse Laplace transform of various functions in engineering problems.
3. Expand the perio dic function by using Fourier series for real life problems and complex engineering
problems.
4. Find orthogonal trajectories and analytic function by using basic concepts of complex variables.
5. Illustrate the use of matrix algebra to solve the engineering problems.
6. Apply the concepts of vectorcalculus in real life problems.

Page 20

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 10
Module
No Contents Hrs.
01 Module 1: Laplace Transform

1.1 Definition of Laplace transform, Condition of Existence of Laplace transform.
1.2 Laplace Transform (L) of Standard Functions like
and
.
1.3 Properties of Laplace Transform: Linearity, First Shifting theorem, Second Shifting
Theorem, change of scale Property, multip lication by t, Division by t, Laplace
Transform of derivatives and integrals (Properties without proof).
1.4 Evaluation of integrals by using Laplace Transformation.

Self-learning Topics: Heaviside’s Unit Step function, Laplace Transform of Periodic
functions, Dirac Delta Function.
7
02 Module 2: Inverse Laplace Transform

2.1. Inverse Laplace Transform, Linearity property, use of standard formulae to find
inverse Laplace Transform, finding Inverse Laplace transform using derivatives.
2.2 Partial fractions method to find inverse Laplace transform.
2.3 Inverse Laplace transform using Convolution theorem (without proof).

Self-learning Topics: Applications to solve initial and boundary value problems involving
ordinary differential equations.
6
03 Module 3: Fourier Series

3.1 Dirichlet’s conditions, Definition of Fourier series and Parseval’s Identity (without
proof).
3.2 Fourier series of periodic function with period 2
and 2l.
3.3 Fourier series of even and odd functions.
3.4 Half range Sine and Cosine Series.

Self-learning Topics: Complex form of Fourier Series, Orthogonal and orthonormal set of
functions.Fourier Transform.
7
04 Module 4: Complex Variables

4.1 Function f(z)of complex variable, limit, continuity and differentiability of f(z)Analytic
function, necessary and sufficient conditions for f(z) to be analytic (without proof).
4.2 Cauchy -Riemann equations in cartesian coordinates (without proof).
4.3 Milne -Thomson method to determine analytic function f(z)when real part (u) or
Imaginary part (v) or its combination (u+v or u -v) is given.
4.4 Harmonic function, Harmonic conjugate and orthogonal trajectories
Self-learning Topics: Conformal mapping, linear, b ilinear mapping, cross ratio,fixed
points and standard transformations. 7

Page 21

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 11
05 Module 5: Linear Algebra: Matrix Theory

5.1 Characteristic equation, Eigen values and Eigen vectors, Example based on properties
of Eigen values and Eigen vectors.(Without Proof).
5.2 Cayley -Hamilton theorem (Without proof), Examples based onverification of Cayley -
Hamilton theorem and compute inverse of Matrix.
5.3 Similarity of matrices, Diagonalization of matrices. Functions of square matrix

Self-learn ing Topics: Application of Matrix Theory in machine learning and google page
rank algorithms, derogatory and non -derogatory matrices .
6
06 Module 6: Vector Differentiation and Integra l

6.1 Vector differentiation :Basics of Gradient, Divergence and Curl (Without Proof).
6.2 Properties of vector field: Solenoidal and irrotational(conservative) vector fields.
6.3 Vector integral: Line Integral,Green’s theorem in a plane(Without Proof), Stokes’
theorem (Without Proof) only evaluation.

Self-learning Topi cs:Gauss’ divergence Theorem and applications of Vector calculus.
6
Total 39

Term Work:

General Instructions:

1. Students must be encouraged to write at least 6 class tutorials on entire syllabus.
2. A group of 4 -6 students should be assigned a self -learning topic. Students should prepare a
presentation/problem solving of 10 -15 minutes. This should be considered as mini project in
Engineering Mathematics. This project should be graded for 10 marks depe nding on the performance
of the students.

The distribution of Term Work marks will be as follows –

1. Attendance (Theory and Tutorial) 05 marks
2. Class Tutorials on entire syllabus 10 marks
3. Mini project 10 marks

Assessment :

Internal Assessment Test:

Assessment consists of two class tests of 20 marks each. The first -class test (Internal Assessment I) is to be
conducted when approx. 40% syllabus is completed and secondclass test (Internal Assessment II) when
additional 35% syllabus is completed. Duration of each test shall be one hour.

Page 22

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 12

End Semester Theory Examination:

1. Question paper will comprise of total 06 questions, each carrying 20 marks.
2. Total 04 questions need to be solved.
3. Question No: 01 will be compulsory and based on entire syllabus wherein 4 sub -questions of 5 marks
each will be asked.
4. Remaining questions will be randomly selected from all the modules.
5. Weightage of each module will be proportional to number of respective lecture hours as mentioned in the
syllabus.


References:

1. Advanced Engineering Mathematics,H.K. Das, S. Chand, Publications
2. Higher Engineering Mathematics, B. V. Ramana, Tata Mc -Graw Hill Publication
3. Advanced Engineering Mathematics, R. K. Jain and S. R. K. Iyengar, Narosa publication
4. Advanced Engineering Mathematics,Wylie and Barret, Tata Mc -Graw Hill.
5. Theory and Problems of Fourier Analysis with applications to BVP, Murray Spiegel, Schaum’s Outline
Series
6. Vector Analysis Murry R. Spiegel, Schaum’s outline series, Mc -Graw Hill Publication
7. Begin ning Linear Algebra, Seymour Lipschutz, Schaum’s outline series, Mc -Graw HillPublication
8. Higher Engineering Mathematics, Dr. B. S. Grewal, Khanna Publication

Page 23

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 13
Course
Code Course Name Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECC 302 Electronic
Devices 03 -- -- 03 -- -- 03

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
ECC
302 Electronic
Devices 20 20 20 80 03 -- -- -- 100



Course Objectives:

1. To deliver the knowledge of basic semiconductor devices.
2. To enhance comprehension capabilities of students through understanding of electronic devices.
3. To introduce and motivate students to the use of advanced nanoelectronic devices
4. To analyse amplifiers using BJT and FET based devices.


Course Outcomes:

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

1. Explain the working of semiconductor devices.
2. Interpret the characteristics of semiconductor devices.
3. Analyse Electronics circuits using BJT and FET (DC & AC analysis)
4. Compare various bias ing circuits &configurations of BJT and MOSFETs.
5. Select best circuit for the given specifications/application.
6. Describe the working of advanced nanoelectronic devices

Page 24

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 14
Module
No. Unit
No. Contents Hrs.
1 P-N Junction Diode & Applications 07
1.1 Theoretical description of basic structure & construction, symbol, operation under
zero bias, forward bias & reverse bias, avalanche breakdown, V -I characteristics &
temperature effects (no mathematical analysis or numerical examples)
1.2 Application of P -N junction diode as clippers & clampers (different types of
configurations with input -output waveforms & transfer characteristics; theoretical
description & analysis of each circuit; numerical examples)
2 Special Semiconductor Devices 04
2.1 Zener diode as the voltage regulator (theoretical description only which includes
construction of circuit diagram, operation / working for varying DC input voltage
& varying load resistance, concept of line regulation & load regulation – no
numerical examples)
2.2 Construction, structure, symbol, operating principle, working & V -I characteristics
of special semiconductor devices such as Varactor diode, Schottkey diode, Photo
diode, Light emitting diode (LE D) & Solar cells
3 Bipolar Junction Transistor (BJT) 09
3.1 BJT construction & structure, symbol, operation, voltages & currents, V -I
characteristics of common emitter (CE), common base (CB) & common collector
(CC) configuration, Early effect & concept of leakage current
3.2 DC Circuit Analysis: DC load line, Q -point & region of operation, common BJT
configurations, biasing circuits, bias stability and concept of thermal runaway,
analysis of biasing circuits (numerical examples to be included)
3.3 AC Analysis of BJT Amplifiers: AC load line, small signal models: h -parameter
model, r e model, hybrid -pi (r π) model. AC equivalent circuits and analysis to obtain
voltage gain, current gain, input impedance, output impedance of CE amplifier using
hybrid -pi (r π) model only
4 Field Effect Devices (FET) 09
4.1 JFET: Construction, symbol, operation, V -I & transfer characteristics
MOSFET: Construction, operation, symbol, V -I & transfer characteristics of the D -
MOSFET & E-MOSFET (theoretical description only for JFET & MOSFET)
4.2 DC Circuit Analysis: DC load line, Q -point & region of operation, common MOSFET
configurations of common source (CS), common drain (CD) & common gate (CG),
analysis of biasing circuits (numerical examples only for E -MOSFET & D -MOSFET;
no JFET)
4.3 AC Analysis: AC load line, small signal (AC) model of the MOSFET & its

Page 25

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 15
equivalent circuit, small signal (AC) analysis of common source (CS) configuration
MOSFET amplifier only (numerical examples included)
5 Rectifiers &Filters 05
5.1 Rectifiers: Working & mathematical analysis of full – wave centre tapped rectifier
& bridge type rectifier (mathematical analysis include expressions for the DC /
average & RMS output voltage, DC / average & RMS output current & ripple
factor; numerical examples included)
5.2 Filters: Capacitor (C), Inductor (L), Inductor – Capacitor (LC), C -L-C (π) with
circuit diagram, waveforms, working / operation & expression for ripple factor
(theoretical description only – no analysis or numerical examples to be included)
6 Emerging Electronic Devices 05
6.1 Single Electron Transistor (SET) & Quantum Dots (theoretical description only –
construction, structure & nature of operation, characteristics & applications)
6.2 Memristor & Spintronic devices (theoretical description only – construction, structure
& nature of operation, characteristics & applications)
Total 39

Text Books:
1. Donald A. Neamen, “Electronic Circuit Analysis and Design”, TATA McGraw Hill, 2nd Edition
2. Adel S. Sedra, Kenneth C. Smith and Arun N Chandorkar, “Microelectronic Circuits Theory and
Applications”, International Version, OXFORD International Students Edition, Fifth Edition.
3. James Morris & Krzysztof Iniewski, Nano -electronic Device Applications Handbook
by CRC Press

Reference Books:
1. Boylest ead," Electronic Devices and Circuit Theory", Pearson Education
2. David A. Bell, “Electronic Devices and Circuits”, Oxford, Fifth Edition.
3. Muhammad H. Rashid, “Microelectronics Circuits Analysis and Design”, Cengage
4. S. Salivahanan, N. Suresh Kumar,“Electro nic Devices and Circuits”, Tata McGraw Hill .
5. Millman and Halkies, “Integrated Electronics”, T ata McGraw Hill.


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 modules.

Page 26

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 16
Course
Code Course
Name Teaching Scheme Credits Assigned
Theory Practical
and oral Tutorial Theory Practical
and oral Tutorial Total
ECC303 Digital
Electronics 03 -- -- 03 -- -- 03

Course
Code Course
Name Examination Scheme
Theory Marks
Term
Work Practical
and
Oral Total Internal assessment
End
Sem.
Exam Exam
duration
Hours Test
1 Test
2 Avg. of
Test 1
and
Test 2
ECC303 Digital
Electronics 20 20 20 80 03 -- -- 100


Course Pre -requisite s:
Basic Electrical & Electronics Engineering

Course Objectives:
1. To understandvarious number system s&codes and to introduce students to various logic gates, SOP, POS
form and their minimization techniques.
2. To teach the working of combinational circuits, their applications and implementation of combinational logic
circuits using MSI chips.
3. To teach the elements of sequential logic design, analysis and design of sequential circuits.
4. To understand various counters and shift registers and its design using MSI chips.
5. To explain and describe various logic families and Programmable Logic Devices.
6. To train students in writing program s with Verilog hardware description lan guages.

Course Outcome s:
After successful completion of the course students will be able to
1. Perform code conversion and able to apply Boolean algebra for the implementation and minimis ation of logic
functions.
2. Analyse, design and implement Combina tional logic circuits.
3. Analyse, design and implement Sequential logic circuits.
4. Design and implement various counter using flip flops and MSI chips.
5. Understand TTL & CMOS logic families, PLDs, CPLD and FPGA.
6. Understand basics of Verilog Hardwa re Description Language and its programming withcombinational and
sequential logic circuits.

Page 27

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 17
Module
No. Unit No Contents Hrs.
1
Fundamentals of Digital Design 07
1.1 Number Systems and Codes: Review of Number System, Binary Code, Binary Coded
Decimal, Octal Code, Hexadecimal Code and their conversions, Binary Arithmetic: One's
and two's complements,
1.2 Codes :Excess -3 Code, Gray Code, Weighted code, Parity Code: Hamming Code
1.3 Logic Gates and Boolean Algebra: Digital logic gates, Realization using NAND, NOR
gates, Boolean Algebra, De Morgan’s Theorem, SOP and POS representation, K Map up
to four variables

Combinational Circuits using basic gates as well as MSI devices 07
2 2.1 Arithmetic Circuits: Half adder, Full adder, Ripple carry adder, Carry Look ahead adder,
Half Subtractor, Full Subtractor, multiplexer, cascading of Multiplexer, demultiplexer,
decoder, Comparator (Multiplexer and demultiplexer gate level upto 4:1).
2.2 MSI devices: IC7483, IC74151, IC74138, IC7485.

Elements of Sequential Logic Design 07
3 3.1 Sequential Logic: Latches and Flip -Flops. RS, JK, Master slave flip flops, T & D flip flops
with various triggering methods, Conversion of flip flops,
3.2 Counters: Asynchronous, Synchronous Counters, Up Down Counters, Mod
Counters, Ring Counter , Twisted ring counter, Shift Registers, Universal Shift Register.

Sequential Logic Design: 07
4 4.1 Sequential Logic Design: Mealy and Moore Machines, Clocked synchronous state
machine analysis, State reduction techniques (inspection, partition and implication chart
method) and state assignment, sequence detector, Clocked synchronous state machine
design .
4.2 Sequential logic design practices: MSI counters (7490, 7492, 7493,74163, 74169) and
applications, MSI Shift registers (74194) and their applications.

Logic Families and Programmable Logic Devices 05
5 5.1 Logic Families: Types of logic families (TTL and CMOS), characteristic parameters
(propagation delays, power dissipation, Noise Margin, Fan -out and Fan -in), transfer
characteristics of TTL NAND(Operation of TTL NAND gate),CMOS Logic:CMOS
inverter, CMOS NAND and CMOS NOR, Interfac ing CMOS to TTL and TTL to CMOS.
5.2 Programmable Logic Devices : Concepts of PAL and PLA. Simple logic implementation
using PAL and PLA , Introduction to CPLD and FPGA architectures, Numericals based on
PLA and PAL

Introduction to Verilog HDL 06
6 6.1 Basics : Introduction to Hardware Description Language and its core features, synthesis in
digital design, logic value system, data types, constants, parameters, wires and registers.
Verilog Constructs: Continuous & procedural assignment statements, logical, arithmetic,
relational, shift operator, always, if, case, loop statements, Gate level modelling, Module
instantiation statements.
6.2 Modelling Examples: Combinational logic eg.Arithmetic circuits, Multiplexer,
Demultiplexer, decoder, Sequential logic eg. flip flop, counters.

Total 39

Page 28

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 18
Text Books:

1. R. P. Jain, Modern Digital Electronics, Tata McGraw Hill Education, Third Edition 2003.
2. Morris Mano, Digital Design, Pearson Education, Asia 2002.
3. J. Bhaskar, A Verilog HDL Primer, Third Edition, Star Galaxy Publishing, 2018.

Reference Books:

1. Digital Logic Applications and Design – John M. Yarbrough, Thomson Publications, 2006
2. John F. Warkerly, Digital Design Principles and Practices, Pearson Education, Fourth Edition, 2008.
3. Stephen Brown and ZvonkoVranesic, Fundamentals of digital logic design with Verilog
design, McGraw Hill, 3rd Edition.
4. Digital Circuits and Logic Design – Samuel C. Lee, PHI
5. William I.Fletcher, “An Engineering Approach to Digital Design”, PrenticeHall of India.
6. Parag K Lala, “Digital System design using PLD”, BS Publications, 2003.
7. Charles H. Roth Jr., “Fundamentals of Logic design”, Thomson Learning, 2004.


Internal Assessment Test:

Assessment consists of two class tests of 20 marks each. The first -class test (Internal Assessment I) is to be
conducted when approx. 40% syllabus is completed and the secondclass test (Internal Assessment II) when
additional 40% syllabus is completed. Dur ation of each test shall be one hour.

End Semester Theory Examination:

1. Question paper will comprise of total 06 questions, each carrying 20 marks.
2. Total 04 questions need to be solved.
3. Question No: 01 will be compulsory and based on the entire syllabus wherein 4 sub -questions of 5
marks each will be asked.
4. Remaining questions will be randomly selected from all the modules.
5. Weightage of each module will be proportional to the number of respective lecture hours as mentioned
in thesyllabus .

Page 29

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 19
Course
Code Course Name
Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECC 304 Data Structures
and Algorithms 03 -- -- 03 -- -- 03

Course
Code Course Name Examination Scheme
Theory Marks
Term
Work Practical and
Oral Total Internal assessment End
Sem.
Exam Exam
duratio n
Hours Test 1 Test 2 Avg. of
Test 1 and
Test 2
ECC
304 Data
Structures
and
Algorithms 20 20 20 80 03 -- -- 100


Course Prerequisite:
C Programming

Course Objectives:

1. To understand and demonstrate basic data structures (such as Arrays, linked list, stack, queue, binary
tree, graph).
2. Toimplement various operations on data structures .
3. To study different sorting and searching techniques .
4. Tochoose efficient data structures and apply them to solve real world problems .


Course Outcomes:

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

1. Implement various linear data structures.
2. Implement various nonlinear data structures.
3. Select appropriate sorting and searching techniques for a given problem and use it.
4. Develop solutions for real world problems by selecting app ropriate data structure and algorithms.
5. Analyse the complexity of the given algorithms.

Page 30

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 20
Module
No. Contents Hrs.
1 Introduction to Data Structures 04
Introduction to Data Structures, Types of Data Structures – Linear and Nonlinear, Operations
on Data Structures, Concept of array,Static arrays vs Dynamic Arrays, structures.
Introduction to Analysis of Algorithms, characteristics of algorithms, Time and Space
complexities, Asymptotic notations.

2 Stack and Queues 08
Introduction,Basic Stack Operations, Representation of a Stack using Array, Applications of
Stack – Well form -ness of Parenthesis, Infix to Postfix Conversion and Postfix Evaluation.
Queue, Operations on Queue, queue -Round Robin Algorithm.

3 Linked List 08
Introduction, Representation of Linked List, Linked List v/s Array, Types of Linked List -
Singly Linked List (SLL ), Operations on Singly Linked List: Insertion , Deletion,reversal of
SLL, Print SLL.
Implementation of Stack and Queue using Singly Linked List.
Introduction to Do Representation of a Queue using array, Circular Queue, concept of priority
Queue, Applications of Qubly Linked List and Circular Linked List

4 Trees 08
Introduction, Tree Terminologies, Binary Tree, Types of Binary Tree, Representation of
Binary Trees, Binary Tree Traversals, Binary Search Tree Operations on Binary Search Tree,
Applications of Binary Tree – Expression Tree, Huffman Encoding.

5 Graphs 04
Introduction, Graph Terminologies, Representation of graph (Adjacency matrix and adjacency
list), Graph Traversals – Depth First Search (DFS) and Breadth First Search (BFS),
Application – Topological Sorting.
6 Introduction to Sorting and Searching 07
Introduction to Searching: Linear search, Binary search,
Sorting: Internal VS. External Sorting, Sorting Techniques: Bubble, Insertion, selection,
Quick Sort, Merge Sort, Comparison of sorting Techniques based on their complexity.
Hashing Techniques, Different Hash functions, Collision & Collision resolu tion
techniques:Linear and Quadratic probing, Double hashing.

Total 39






Text Books:

Page 31

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 21

1. Data Structures Using C, Aaron M Tenenbaum, YedidyahLangsam, Moshe J Augenstein, Pearson
Education
2. Introduction to Data Structure and its Applications Jean -Paul Tremblay, P. G.Sorenson
3. Data Structures using C, Reema Thareja, Oxford
4. C and Data structures, Prof. P.S.Deshpande, Prof. O.G.Kakde, Dreamtech Press.
5. Data Structures: A Pseudocode Approach with C, Richard F. Gilberg& Behrouz A. Forouzan, Second
Edition, CENGAGE Learning

Reference Books:

1. Data Structure Using C, Balagurusamy.
2. Data Structures using C and C++, Rajesh K Shukla, Wiley - India
3. ALGORITHMS Design and Analysis, Bhasin, OXFORD.
4. Data St ructures Using C, ISRD Group, Second Edition, Tata McGraw -Hill.
5. Computer Algorithms by Ellis Horowitz and Sartaj Sahni, Universities Press.
6. Data Structures, Adapted by: GAV PAI, Schaum’s Outlines.



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

Page 32

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 22

Course
Code Course Name Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECC
305 Database
Management
Systems 03 -- -- 03 -- -- 03


Course
Code Course Name Examination Scheme
Theory Marks
Term
Work Practical and
Oral Total Internal assessment
End
Sem.
Exam Exam
duratio
n
Hours Test 1 Test 2 Avg. of
Test 1
and
Test 2
ECC
305 Database
Management
Systems 20 20 20 80 03 -- --
100

Course Objectives:

1. Develop entity relationship data model and its mapping to relational model
2. Learn relational algebra and formulate SQL queries
3. Apply normalization techniques to normalize the database
4. Understand concept s of transaction, concurrency control and recovery techniques

Course Outcomes:

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

1. Recognize the need of database management system
2. Design ER and EER diagram for real life applications
3. Const ruct relational model and write relational algebra queries.
4. Formulate SQL queries
5. Apply the concept of normalization to relational database design.
6. Describe the concept s of transaction, concurrency and recovery.

Page 33

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 23
Module
No. Unit
No. Contents Hrs.
1 Introduction to Database Concepts 03
1..1 Introduction, Characteristics of databases
1.2 File systems v/s Database systems
1.3 Data abstraction and Data Independence
1.4 DBMS system architecture
1.5 Database Administrator
2 Entity –Relationship Data Model 07
2.1 The Entity -Relationship (ER) Model
2.2 Entity types: Weak and strong entity sets, Entity sets, Types of Attributes, Keys
2.3 Relationship constraints: Cardinality and Participation
2.4 Extended Entity -Relationship (EER) Model: Generalization, Specialization and
Aggregation
3 Relational Model and Relational Algebra 06
3.1 Introduction to the Relational Model
3.2 Relational schema and concept of keys
3.3 Mapping the ER and EER Model to the Relational Model
3.4 Relational Algebra – operators, Relational Algebra Queries.
4 Structured Query Language (SQL) 06
4.1 Overview of SQL
4.2 Data Definition Commands
4.3 Integrity constraints: Key constraints, Domain Constraints, Referential integrity, Check
constraints
4.4 Data Manipulation commands, Data Control commands
4.5 Set and string operations, aggregate function - group by, having
4.6 Views in SQL, joins , Nested and complex queries, Triggers
5 Relational –Database Design 07
5.1 Pitfalls in Relational -Database designs

Page 34

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 24
5.2 Concept of normalization
5.3 Function Dependencies
5.4 First Normal Form, 2NF, 3NF, BCNF.
6 Transactions Management and Concurrency and Recovery 10
6.1 Transaction Concept, Transaction states
6.2 ACID properties
6.3 Transaction Control Commands
6.4 Concurrent Executions
6.5 Serializability:Conflict and View
6.6 Concurrency Control: Lock -based, Timestamp -based protocols
6.7 Recovery System: Log based recovery
6.8 Deadlock handling
Total 39

Text Books:

1. Korth, Slberchatz,Sudarshan, Database System Concepts, 6th Edition, McGraw Hill
2. Elmasri and Navathe, Fundamentals of Database Systems, 5th Edition, Pearson education
3. Raghu Ramkrishnan and Johannes Gehrke, Database Management Systems, TMH

Reference Books:

1. Peter Rob and Carlos Coronel, Database Systems Design, Implementation and Management‖, Thomson
Learning, 5th Edition.
2. Dr.P.S. Deshpande, SQL and PL/SQL for Oracle 10g, Black Book, Dreamtech Press.
3. G. K. Gupta, Database Management Systems, McGraw Hill., 2012

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 modules .

Page 35

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 25
Course
Code Course Name Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical
Total
ECL 301 Electronic
Devices Lab -- 02 -- -- 01 01



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
ECL 30 1 Electronic
Devices
Lab -- -- -- -- -- 25 25 50


Term Work:
At least 10 experiments covering entire syllabus of ECC 302 (Electronic Devices) should be set to have well
predefined inference and conclusion. This must include 60% Hardware and 40% Simulation experiments. The
experiments should be student centric and at tempt should be made to make the experiments meaningful and
interesting. Experiment s 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 t erm 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.
Laboratory Objectives:

1. To deliver a hands -on approach for studying electronic devices
2. To comprehend characteristics of electronic devices; thereby understanding their behaviour
3. To analyse & calculate inherent parameters of electronic devices through experimental approach
4. To introduce modern software simulation tools for modelling & simulation of electronic devices

Laboratory Outcomes:

After successful completion of the laboratory students will be able to

1. Explain the working of semiconductor devices.
2. Interpret the characteristics of semiconductor devices.
3. Analyse electronics circuits using BJT and FET (DC & AC analysis)
4. Simulate basic circuits using electronic devices through software simulation

Page 36

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 26

Suggested List of Experiments

Sr.
No. Hardware Experiment Name
1 To study passive(R , L,C) and active (BJT, MOSFTET) components.
2 To study equipment (CRO, Function Generator, Power supply).
3 To perform characteristics of PN junction diode.
4 To perform Clippers and Clampers.
5 To perform analysis and design Fixed bias, Voltage divider bias for CE amplifier.
6 To perform CE amplifier as voltage amplifier (Calculate Av, Ai, Ri, Ro).
7 To perform CS MOSFET amplifier as voltage amplifier and measurement of its performance
parameters.
8 To perform Full wave/Bridge rectifier with LC/pi filter.
9 To perform Zener as a shunt voltage regulator.
10 To simulate VI characteristics of MEMRISTOR using nanohub.org

List of Simulation Experiments
Sr.
No. Simulation Experiment Name
1 SPICE simulation of and implementation for junction analysis
2 SPICE simulation of and implementation for BJT characteristics
3 SPICE simulation of and implementation for JFET characteristics
4 SPICE simulation of for MOSFET characteristics
5 SPICE simulation of Full wave/Bridge rectifier with LC/pi filter.
6 SPICE simulation of CE amplifier
7 SPICE simulation of CS MOSFET amplifier.
(Expected percentage of H/w and software experiments should be 60% & 40% respoectively)

Note:
Suggested List of Experiments is indicative . However, flexibilities lies with individual course instructor to design
and introduce new, innovative and challenging experiments, (limited to max imum 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.

Page 37

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 27


Course Code
Course Name Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical Total
ECL 302 Digital
Electronics
Lab -- 02 -- -- 01 01

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
ECL
302 Digital
Electronics
Lab - - - - - 25 25 50


Laboratory Objectives:

1. To learn the functionality of basic logic gates.
2. To construct combinational circuits and verify their functionalities.
3. To learn the functionality of flip flops and their conversion.
4. To design and implement synchronous and asynchronous counters, Shift registers using MSI
5. To simulate various combinational and sequenti al circuits and analyze the results using Verilog HDL.


Term Work:

At least 10 experiments covering the entire syllabus of ECC 303 (Digital Logic Circuits) should be set to have well
predefined inference and conclusion. The experiments should be student centric and attempt should be made to make
experiments meaningful and 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 Syst em 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.

Page 38

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 28

Suggested List of Hardware Experiments
Sr.
No. Experiment Title
1 To verify different logic gates and implement basic gates using universal gates
2 To implement Boolean function in SOP and POS form
3 To implement half adder, full adder, half Subtractor, full Subtractor
4 To implement BCD adder using binary adder IC 7483
5 To implement logic equations using Multiplexer IC 74151
6 To verify truth table of SR , JK,T and D flip flops
7 To perform Flip flop conversion JK to D, JK to T and D to T flip flop
8 To implement MOD N counter using IC 7490/7492/7493
9 To implement Synchronous counter using IC 74163/74169 OR To implement universal shift register
using IC 74194

Suggested List of Simulation/Software Experiments

Sr.
No. Experiment Title
1 To design and simulate Full adder/full subtractor using Verilog HDL
2 To design and simulate Multiplexer/Demultiplexer using Verilog HDL
3 To design and simulate decoder 74138 using Verilog HDL
4 To simulate basic flip flops using Verilog HDL
5 To design and simulate 4 bit counter / up -down counter using Verilog HDL
6 To design and simulate Shift register using Verilog HDL
(Additional/ Suggested experiments (optional) - Implementation of any of above using FPGA/CPLD )


Note:
Suggested List of Experiments is indicative . However, flexibilities lies 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 curric ulum, so that, the fundamentals and applications can be
explored to give greater clarity to the students and they can be motivated to think differently.

Page 39

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 29


Course
Code Course
Name Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical
Total
ECL 303 Data Structures
and Algorithms
Lab -- 02 -- -- 01 01



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
ECL 30 3 Data
Structures
and
Algorithms
Lab -- -- -- -- -- 25 25 50

Prerequisite:
C Programming Language

Laboratory Outcomes:
1. Students will be able to implement linear data structures & will be able to handle operations like insertion, deletion,
searching and traversing on them.
2. Students will be able to implement nonlinear data structures & will be able to handle operations like insertion,
deletion, searching and traversing on them.
3. Students will b e able to choose appropriate data structure and apply it in various problem domains .
4. Students will be able to select appropriate searching techniques for given problems.


Term Work:
At least 10 experiments and 2 assignments covering entire syllabus of Data Structures and Algorithms ( ECC 304)
should be set to have well predefined inference and conclusion. The experiments should be student centric and attempt
should be made to make experiments meaningful and interesting. Experiment must be graded from ti me 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 wor k ensures satisfactory performance of laboratory work and minimum passing marks in term
work. Practical and Oral exam will be based on the entire syllabus.
Total 25 Marks = (Experiments -15 mark + Attendance -5 mark + Assignments -05 mark)

Page 40

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 30


Suggested List of Experiments

(*) marked experiments are compulsory.
Sr.
No. Experiment Name
1 *Implement Stack ADT using array
2 *Convert an Infix expression to Postfix expression using stack ADT
3 Evaluate Postfix Expression using Stack ADT
4 Check whether parentheses are balanced or not.
5 *Implement Linear Queue ADT using array
6 Implement Circular Queue ADT using array
7 Implement Priority Queue ADT using array
8 *Implement Singly Linked List ADT
9 Implement Doubly Linked List ADT
10 *Implement Stack ADT using Linked List
11 *Implement Linear Queue ADT using Linked List
12 *Implement Binary Search Tree ADT using Linked List
13 *Implement Depth First Search and Breadth First Search Graph Traversal technique
14 *Implement searching algorithms -Linear search, Binary search
15 *Implement sorting algorithms ( any 2) - bubble, selection, insertion, merge,quick

Useful Links:

1.www.leetcode.com
2. www.hackerrank.com
3. www.cs.usfca.edu/~galles/visualization/Algorithms.html
4. www.codechef.com

Note:
Suggested List of Experimen ts is indicative . However, flexibilities lies 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 fundamen tals and applications can be explored to give greater clarity
to the students and they can be motivated to think differently.

Page 41

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 31

Course
Code Course Name Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical
Total
ECL 30 4 Database
Management
Systems lab -- 02 -- -- 01 -- 01





Course
Code

Course
Name Examination Scheme
Theory Marks
Term
Work
Practical
and
Oral
Total Internal assessment End
Sem.
Exam Exam
duration
Hours Test 1
Test 2
Avg, of Test 1
and Test 2
ECL 30 4 Database
Management
Systems lab -- -- -- -- -- 25 25 50


Laboratory Outcomes:

At the end of the course the student should be able to ;

1. Design ER /EER diagram and convert to relational model for the real world application .
2. Apply DDL , DML , DCL and TCL commands .
3. Write simple and complex queries
4. Use PL/SQL Constructs.
5. Demonstrate the concept of concurrent transactions execution and frontend -backend connectivity



Term Work:

At least 10 experiments covering the entire syllabus of Database Management Systems (ECC 305)should be set to
have well predefined inference and conclusion. The experiments should be student centric and attempt should be made
to make the experimentsmeaning ful and interesting. Experiment s 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 sch eme. 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.

Page 42

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 32
Suggested List of Experiments
Sr.
No. Experiment Name
1 Identify the case study and detail statement of problem. Design an Entity -Relationship (ER) /
Extended Entity -Relationship (EER) Model.
2 Mapping ER/EER to Relational schema model.
3 Create a database using Data Definition Language (DDL) and apply integrity constraints for the
specified System
4 Apply DML Commands for the specified system
5 Perform Simple queries, string manipulation operations and aggregate functions.
6 Implementvarious Join operations.
7 Perform Nested and Complex queries
8 Perform DCL and TCL commands
9 Implement procedure and functions
10 Implementation of Views and Triggers.
11 Demonstrate Database connectivity
12 Implementation and demonstration of Transaction and Concurrency control techniques using
locks.


Note:
Suggested List of Experiments is indicative . However, flexibilities lies 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.

Page 43

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 33

Course
Code
Course Name Teaching Scheme
(Hrs.) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECL305 Skill -Based
Lab: OOPM
(C++ and Java) -- 02* + 02 -- -- 02 -- 02
* Theory class to be conducted for full class

Course
Code Course
Name Examination Scheme
Theory Marks Term
Work Practical
And
Oral
Total Internal assessment End
Sem.
Exam Exam.
Duration
(in Hrs)
Test 1 Test 2 Avg. of
Test 1
and
Test 2
ECL30 5 Skill -based
Lab OOPM
(C++ and Java) -- -- -- -- -- 50 -- 50

Course Pre -requisites:
• Fundamentals of C -Programming
• Control Structures
• Arrays and String

Course Objectives:

1. To understand Object Oriented Programming basics and its features.
2. To understand and apply Object Oriented Programming (OOP) principles using C++
3. Able to implement Methods, Constructors, Arrays, Multithreading and Applet in java
4. Able to use a programming language to resolve problems.

Course Outcomes:

After successful completion of the course student will be able to
1. Use C++ i n programming.
2. Use different control structures.
3. Understand fundamental features of an object -oriented language: object classes and interfaces, exceptions and
libraries of object collections.
4. Understand Java Programming.
5. To develop a program that efficient ly implements the features and packaging concept of java in laboratory.
6. To implement Exception Handling and Applets using Java.

Page 44

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 34

Module
No
Unit
No.
Content s
Hrs.
1 C++ Overview 08
1.1 Need of Object -Oriented Programming (OOP), Object Oriented Programming Paradigm,
Basic Concepts of Object -Oriented Programming, Benefits of OOP and C++ as object -
oriented programming language.
1.2 C++ programming Basics, Data Types, Structures, Enumerations, control structures, Arrays
and Strings, Class, Object, class and data abstraction, class scope and accessing class
members, separating interface from implementation, controlling access to members.
2 C++ Control Structures 06
2.1 Branching - If statement, If -else Statement, Decision.
Looping – while, do -while, for loop
Nested control structure - Switch statement, Continue statement, Break statement.
2.2 Array - Concepts, Declaration, Definition, Accessing array element, One
dimensional and Multidimensional array.
3 Object -Oriented Programming using C++ 10
3.1 Operator Overloading - concept of overloading, operator overloading, Overloading Unary
Operators, Overloading Binary Operators, Data Conversion, Type casting (implicit and
explicit), Pitfalls of Operator Overloading and Conversion, Keywords explicit and
mutable.
Function - Function prototype, accessing function and utility function, Constructors and
destructors, Copy Cons tructor, Objects and Memory requirements, Static Class
members, data abstraction and information hiding, inline function.
Constructor - Definition, Types of Constructor, Constructor Overloading, Destructor.
3.2 Inheritance - Introduction, Types of Inheritance, Inheritance, Public and Private
Inheritance, Multiple Inheritance, Ambiguity in Multiple Inheritance, Visibility Modes
Public, Private, Protected and Friend, Aggregation, Classes Within Classes. Deriving a
class from Ba se Class, Constructor and destructor in Derived Class, Overriding Member
Functions, Class Hierarchies,
Polymorphism - concept, relationship among objects in inheritance hierarchy, Runtime &
Compile Time Polymorphism, abstract classes, Virtual Base Class.
4 Introduction to Java 06
4.1 Programming paradigms - Introduction to programming paradigms, Introduction to four
main Programming paradigms like procedural, object oriented, functional, and logic & rule
based. Difference between C++ and Java.
4.2 Java History, Java Features, Java Virtual Machine, Data Types and Size (Signed vs.
Unsigned, User Defined vs. Primitive Data Types, Explicit Pointer type), Programming
Language JDK Environment and Tools.
5 Inheritance, Polymorphism, Encapsulation using Java 10
5.1 Classes and Methods : class fundamentals, declaring objects, assigning object reference
variables, adding methods to a class, returning a value, constructors, this keyword, garbage
collection, finalize() method, overloading methods, argument passing, object as parameter,
returning objects, access control, static, final, nested and inner classes, command line
arguments, variable -length Arguments.
String: String Class and Methods in Java.

Page 45

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 35
5.2 Inheritances: Member access and inheritance, super class references, Using super,
multilevel hierarchy, constructor call sequence, method overriding, dynamic method
dispatch, abstract classes, Object class.
Packages and Interfaces: defining a package, find ing packages and CLASSPATH, access
protection, importing packages, interfaces (defining, implementation, nesting, applying),
variables in interfaces, extending interfaces, instance of operator.
6.0 Exception Handling and Applets in Java 08
6.1 Exception Handling: fundamental, exception types, uncaught exceptions, try, catch,
throw, throws, finally, multiple catch clauses, nested try statements, built -in exceptions,
custom exceptions (creating your own exception subclasses).
Managing I/O: Streams, Byte Streams and Character Streams, Predefined Streams,
Reading console Input, Writing Console Output, and Print Writer class.
Threading: Introduction, thread life cycle, Thread States: new, runnable, Running,
Blocked and terminated, Thread naming, thread join method, Daemon thread
6.2 Applet: Applet Fundamental, Applet Architecture, Applet Life Cycle, Applet Skeleton,
Requesting Repainting, status window, HTML Applet tag, passing parameters to Applets,
Applet and Application Program.
Total 48

Textbooks:

1. Bjarne Stroustrup, “The C++ Programming language”, Third edition, Pearson Education, 2000.
2. Deitel, “C++ How to Program”, 4th Edition, Pearson Education, 2005.
3. D. T. Editorial Services, “Java 8 Programming Black Book”, Dreamtech Press, Edition, 2015.
4. Yashwant Kanitkar, “Let Us Java”, BPB Publications, 4nd Edition, 2019.

Reference Books:

1. Herbert Schidt, “The Complete Reference”, Tata McGraw -Hill Publishing Company Limited, 10th Edition,
2017.
2. Harvey M. Deitel, Paul J. Deitel, Java: How to Program, 8th Edition, PHI, 2009.
3. Grady Booch, James Rumbaugh, Ivar Jacobson, “The Unified ModelingLanguageser Guide”, Pearson
Education.
4. Sachin Malhotra, Saurabh Chaudhary “Programming in Java”, Oxford Universit y Press, 2010

Software Tools:

1. Raptor -Flowchart Simulation:http://raptor.martincarlisle.com/
2. Eclipse: https://eclipse.org/
3. Netbeans:https://netbeans.org/downloads/
4. CodeBlock:http://www.codeblocks.org/
5. J-Edit/J -Editor/Blue J

Online Repository:
1. Google Drive
2. GitHub
3. Code Guru

Page 46

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 36
Suggested list of Experiments
Sr.
No C++ Programs
1 Add Two Numbers
2 Print Number Entered by User
3 Swap Two Numbers
4 Check Whether Number is Even or Odd
5 Find Largest Number Among Three Numbers
6 Create a simple class and object.
7 Create an object of a class and access class attributes
8 Create class methods
9 Create a class to read and add two distance
10 Create a class for student to get and print details of a student.
11 Demonstrate example of friend function with class
12 Implement inheritance.

Sr.
No. JAVA Programs
1 Display addition of number
2 Accept marks from user, if Marks greater than 40,declare the student as “Pass” else “Fail””
3 Accept 3 numbers from user. Compare them and declare the largest number (Using if -else statement).
4 Display sum of first 10 even numbers using do -while loop.
5 Display Multiplication table of 15 using while loop.
6 Display basic calculator using Switch Statement.
7 Display the sum of elements of arrays.
8 Accept and display the string entered and execute at least 5 different string functions on it.
9 Read and display the numbers as command line Arguments and display the addition of them
10 Define a class, describe its constructor, overload the Constructors and instantiate its object.
11 Illustrate method of overloading
12 Demonstrate Parameterized Constructor
13 Implement Multiple Inheritance using interface
14 Create thread by implementing 'runnable' interface or creating 'Thread Class.
15 Demonstrate Hello World Applet Example

Note:
Suggested List of Experiments is indicative . However, flexibilities lies 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 applicati ons can be explored to give greater clarity
to the students and they can be motivated to think differently.

Page 47

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 37


Term Work:

At least 16 experiments ( 08 experiments each on C++ and JAVA ) covering entire syllabus should be set to have
well predefined inference and conclusion. Teacher should refer the suggested experiments and can design additional
experiment to maintain better understanding and quality.
The experiments should be students centric and attempt should be made to make experimentsmeaningful , interesting
and innovative. Term work assessment must be based on the overall performance of the student , with experiment s
graded from time to time.

The grades will be converted to marks as per “ Choice Based Credit and Grading System ” manual and should be
added and averaged. Based on above scheme grading and term work assessment should be done.

The practical and oral examination will be based on the entire syllabus. Students are enc ourage d to share their
experiment codes on online repository. Practical exam slip should cover all 16 experiments for examination.

Page 48

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 38

Course code Course Name Credits
ECM 301 Mini Project - 1 A 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
ECM
301 Mini
Project - 1A -- -- -- -- -- 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 o f 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. Analyse the impact of solutions in societal and environmental context for sustainable development.
6. Use standard norms of engineering practices
7. Excel in writte n 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.
• Students shall submit implementation plan in the form of Gantt/PERT/CPM chart, which will cover weekly
activity of mini project.

Page 49

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 39
• A log book to be prepared by each group, wherein group c an 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 e ffectively, propose multiple solution and select best possible
solution in consultation with guide/ supervisor.
• Students shall convert the best solution into working model using various components of their domain areas
and demonstrate.
• The solution to be v alidated 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 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.
• Howe ver, 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 ext ension of the Mini Project with suitable
improvements/modifications or a completely new project idea in even semester. This policy can be adopted
on case by case basis.
Guidelines for Assessment of Mini Project:

Term 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 stud ent, 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;
o Marks awarded by guide/supervisor based on log book : 10
o Marks awarded by review committee : 10
o 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 p roject:
• 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 shall be for finalisation of problem
▪ Second shall be on finalisation of proposed solution of 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 r eview is based on readiness of building working prototype to be conducted.
▪ 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 in one semester students’ group shall complete project in all aspects including,

Page 50

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 40
o Identification of need/problem
o Proposed final solution
o Procurement of components/systems
o Building prototype and testing
• Two reviews will be conducted for continuo us assessment,
▪ First shall be for finalisation of problem and proposed solution
▪ Second shall be for implementation and testing of 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. Cost effectiveness
6. Societal impact
7. Innovativeness
8. Cost effectivene ss and Societal impact
9. Full functioning of working model as per stated requirements
10. Effective use of skill sets
11. Effective use of standard engineering norms
12. Contribution of an individual’s as member or leader
13. 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 semester evaluation of performance of students in mini project.
• In case of half year project all criteria’s in generic may be considered fo r evaluation of
performance 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 prefera bly from industry or research
organisations having experience of more than five years approved by head of Institution.
• Students shall be motivated to publish a paper based on the work in Conferences/students competitions.

Mini Project shall be assessed ba sed on following points;
1. Quality of problem and Clarity
2. Innovativeness in solutions
3. Cost effectiveness and Societal impact
4. Full functioning of working model as per stated requirements
5. Effective use of skill sets
6. Effective use of standard engineering norms
7. Contribution of an individual’s as member or leader
8. Clarity in written and oral communication

Page 51

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 41

Program Structure for Second Year Electronics and Computer Science
UNIVERSITY OF MUMBAI
(With Effect from 2020 -2021)

Semester IV

Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Pract ical Tutorial Total
ECC 401 Engineering
Math ematics - IV 3 - 1 3 - 1 4
ECC 402 Electronic Circuits 3 - - 3 - - 3
ECC 403 Controls and
Instrumentation 3 - - 3 - - 3
ECC 404 Microprocessors
and
Microcontrollers 3 - - 3 - - 3
ECC 405 Discrete structures
and Automata
Theory 3 - - 3 - - 3
ECL 40 1 Electronic Circuits
Lab 2 1 1
ECL 40 2 Controls and
Instrumentation
Lab - 2 - - 1 - 1
ECL 40 3 Microprocessors
and
Microcontrollers
Lab - 2 - - 1 - 1
ECL 40 4 Skill -based Lab :
Python
programming - 4 - - 2 - 2
ECM
401 Mini -project -1 B - 4$ - - 2 - 2
Total 15 14 1 15 7 1 23

$ indicates workload of learner (not faculty), for mini -project

Page 52

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 42



Course
Code

Course Name Examination Scheme
Theory

Term
Work

Practical/
Oral

Total Internal Assessment End
Sem
Exam Exam
Duration
(in Hrs) Test1 Test2 Avg.
ECC 401 Engineering
Mathematics - IV 20 20 20 80 03 25 - 125
ECC 402 Electronic
Circuits 20 20 20 80 03 - - 100
ECC 403 Controls and
Instrumentation 20 20 20 80 03 - - 100
ECC 404 Microprocessors
and
Microcontrollers 20 20 20 80 03 - - 100
ECC 405 Discrete
structures and
Automata Theory 20 20 20 80 03 - - 100
ECL 40 1 Electronic
Circuits Lab - - - - - 25 25 50
ECL 40 2 Controls and
Instrumentation
Lab - - - -- - 25 25 50
ECL 40 3 Microprocessors
and
Microcontrollers
Lab - - -- - - 25 25 50
ECL 40 4 Skill -based Lab
Course: Python
programming 50 - 50
ECM 401 Mini -project -1 B 25 25 50
Total - - 100 400 - 175 100 775


Note:
1. Students group and load of faculty per week.
Mini -Project 1 and 2:
Students can form groups with minimum 3 (Three) and not more than 4(Four)
Faculty Load :1 hour perweek per four groups
Major Project 1 and 2:
Students can form groups with minimum 2 (Two) and not more than 4 (Four)
Faculty Load : In Semester VII– ½ hour per week per project group
In Semester VIII – 1 hour per week per project group
2. Out of 4 hours/week allotted for the mini -projects 1 -A and 1 -B, an expert lecture of at least one hour
per week from industry/institute or a field visit to nearby domain specific industry should be
arranged.
3. Mini -projects 2 -A and 2 -B should be based on DLOs.

Page 53

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 43

Course
Code Course
Name Teaching Scheme Credits Assigned
Theory Practical
and Oral Tutorial Theory Practical
and Oral Tutorial Total
ECC401 Engineering
Mathematics - IV 03 -- 01 03 -- 01 04

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
ECC401 Engineering
Mathematics - IV 20 20 20 80 03 25 -- 125

Pre-requisite:
Engineering Mathematics - I, Engineering Mathematics - II,
Engineering Mathematics - III, Binomial Distribution.

Course Objectives: The course is aimed ;
1. To studythe line and contour integrals and expansion of complex valued function in a power series.
2. To understand the basic techniques of statistics for data analysis, Machine learning and AI.
3. To study the probability distributions and expectations.
4. To acquaint with the c oncepts of vector spaces used in the field of machine learning and engineering
problems.
5. To familiarize withthe concepts of Quadratic forms and Singular value decomposition.
6. To learn the concepts of Calculus of Variations.

Course Outcomes:
On successful completion of course, learner will be able to;
1. Use the concepts of Complex Integration for evaluating integrals, computing residues & evaluate various
contour integrals.
2. Demonstrate the use of Correlation and Regression to the engineering problems in dat a science, machine
learning and AI.
3. Illustrate understanding of the concepts of probability and expectation for getting the spread of the data and
distribution of probabilities.
4. Apply the concept of vector spaces and orthogonalization process in Engineering Problems.
5. Use the concept of Quadratic forms and Singular value decomposition in various Engineering applications.
6. Find the extremals of the functional using the concept of Calculus of variation.

Page 54

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 44
Module
No. Detailed Contents Hrs.
01 Module 1: Complex Integration
1.1 Line Integral, Cauchy’s Integral theorem for simple connected and multiply
connected regions (without proof), Cauchy’s Integral formula (without proof).
1.2 Taylor’s and Laurent’s series (without proof).
1.3 Definition of Singularity, Zeroes, poles of f(z), Residues, Cauchy’s Residue Theorem
(without proof).

Self-learning Topics: Application of Residue Theorem to evaluate realintegrations, Z -
Transform. 7
02 Module 2: Statistical Techniques
2.1 Karl Pearson’s Coefficient of correlation (r) .
2.2 Spearman’s Rank correlation coefficient (R) (repeated and non -repeated ranks)
2.3 Lines of regression.
2.4 Fitting of first and second degree curves.

Self-learning Topics: Covariance, fitting of exponential curve. 6
03 Module 3: Probability Distributions
3.1. Baye’s Theorem, Random variable: Probability distribution for discrete and
continuous random variables, Density function and distribution function.
3.2 Expectation, mean and variance.
3.3 Probability distribution: Poisson & normal distribution.

Self-learning Topics: Moments, Moment Generating Function, Applications of Probabilit y
Distributions in Engineering. 7
04 Module 4: Linear Algebra: Vector Spaces
4.1 Vectors in n -dimensional vector space, norm, dot product, The Cauchy Schwarz
inequality (with proof), Unit vector.
4.2 Orthogonal projection, Orthonormal basis, Gram -Schmidt process for vectors.
4.3 Vector spaces over real field, subspaces.

Self-Learning Topics :- Linear combinations, linear Dependence andIndependence, QR
decomposition. 6

Page 55

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 45
05 Module: Linear Algebra: Quadratic Forms
5.1 Quadratic forms over real field, Linear Transformation of Quadratic form,
Reduction of Quadratic form to diagonal form using congruent transformation.
5.2 Rank, Index and Signature of quadratic form, Sylvester’s law of inertia, Value -
class of a quadratic form -Definite, Semidefinite and Indefinite.
5.3 Reduction of Quadratic form to a canonical form using congruent
transformations.
5.4 Singular Value Dec omposition.

Self-learning Topics: Orthogonal Transformations , Applications of Quadratic forms and
SVD in Engineering. 7
06 Module: Calculus of Variations:
6.1 Euler - Lagrange equation(Without Proof), When F does not contain y, When F does
not contain x, When F contains x,y,y’.
6.2 Isoperimetric problems -Lagrange Method.
6.3 Functions involving higher order derivatives: Rayleigh -Ritz Method.

Self-Learning Topics: -Brachistochrone Problem, Variational Problem,Hamilton Principle,
Principle of Least action,Several dependent variables. 6
Total 39

Term Work:

General Instructions:

1. Students must be encouraged to write at least 6 class tutorials on entire syllabus.
2. A group of 4 -6 students should be assigned a self -learning topic. Students should prepare a
presentation/problem solving of 10 -15 minutes. This should be considered as mini project in Engineering
Mathematics. This project should be graded for 10 marks depe nding on the performance of the students.

The distribution of Term Work marks will be as follows –

1. Attendance (Theory and Tutorial) 05 marks
2. Class Tutorials on entire syllabus 10 marks
3. Mini project 10 marks


Assessment :

Internal Assessment Test:

Assessment consists of two class tests of 20 marks each. The first -class test (Internal Assessment I) is to be
conducted when approx. 40% syllabus is completed and secondclass test (Internal Assessment II) when additional
35% syl labus is completed. Duration of each test shall be one hour.

Page 56

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 46

End Semester Theory Examination:

1. Question paper will comprise of total 06 questions, each carrying 20 marks.
2. Total 04 questions need to be solved.
3. Question No: 01 will be compulsory and based on entire syllabus wherein 4 sub -questions of 5 marks each
will be asked.
4. Remaining questions will be randomly selected from all the modules.
5. Weightage of each module will be proportional to number of respective lecture hours as mentioned in the
syllabus.


Reference Book s:

1. Complex Variables and Applications, Brown and Churchill, McGraw -Hill education.
2. Probability, Statistics and Random Processes, T. Veerarajan, McGraw -Hill education.
3. Advanced engineering mathematics H.K. Das, S. Chand, Publications .
4. Higher Engineering Mathematics B. V. Ramana, Tata Mc -Graw Hill Publication
5. Advanced Engineering Mathematics, R. K. Jain and S. R. K. Iyengar, Narosa publication
6. Advanced Engineering Mathematics Wylie and Barret, Tata Mc -Graw Hill.
7. Beginning Linear Algebra Seymour Lipschutz Schaum’s Outline series, Mc -Graw Hill Publication
8. Higher Engineering Mathematics, Dr. B. S. Grewal, Khanna Publication, 43rd edition, 2010.

Page 57

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 47

Course
Code Course Name Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECC402 Electronic Circuits 03 -- -- 03 -- -- 03



Course Pre -requisite:
ECC 302 :Electronic Devices.

Course Objectives:
1. To enhance comprehension capabilities of students through understanding of electronic circuits.
2. To perform low frequency and high frequency analysis of single stage amplifiers.
3.To teach fundamental principles of operational amplifiers.
4. To develop an overall approach for students from selection of integrated circuit, specification, functionality and
applications

Course Outcomes:
After successful completion of the course students will be able to
1. Evaluate the performance of amplifiers through frequency response.
2. Analyse differential amplifiers for various performance parameters
3. Express mathematically the performance parameters in terms of circuit parameters
4. Choose appropriate circuit for the given specifications/ applications
5. Describe various applications and circuits based on operational amplifiers.
6. Design an application with the use of integrated circuits.





Course
Code

Course
Name Examination Scheme
Theory Marks
Term
Work
Practi cal
and
Oral


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

ECC 402
Electronic
Circuits 20 20 20 80 03 -- --
-- 100

Page 58

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 48


Module
No. Unit
No.
Contents
Hrs
1 Frequency Response of Amplifiers
7 1.1 Low frequency response & analysis, effect of the coupling, bypass & load capacitances
on single stage MOSFET amplifier for common source (CS) configuration
(mathematical analysis & numerical examples included)
1.2 High frequency response & analysis, effect of parasitic capacitances on MOSFET
amplifier, high frequency equivalent circuit of MOSFET, Miller's theorem, effect of
Miller's capacitance, unity gain bandwidth (mathematical analysis & numerical
examples included)
1.3 Introduction to multi -stage amplifiers – need & necessity, different types of couplings
(DC, R -C & transformer) with advantages & disadvantages, the MOSFET cascode
amplifier (theoretical description only)
2 Differential Amplifiers
7 2.1 Basic MOSFET differential amplifier, DC characteristics, transfer characteristics, small
signal (AC) analysis of only dual input balanced output (DIBO) for differential mode
gain & common mode gain, common mode rejection ratio (CMRR) & input resistance /
impedance
2.2 MOSFET differential amplifier with an active load (theoretical description & only
mathematical analysis – no numerical examples)
3 Operational Amplifiers
7 3.1 The ideal operational amplifier (op -amp), internal block diagram of op -amp,
characteristics of op -amp, ideal & practical op -amp parameters / specifications (no
detailed description or any analysis), mathematical model of op -amp, IC 741 op -amp
with pin diagram & desc ription
3.2 Operational amplifier open loop & closed loop configurations (theoretical description
only), the concept of virtual ground & virtual short
4 Applications of Operational Amplifier
6 4.1 Types of negative feedback – voltage series, voltage shunt, current series & current
shunt (theoretical description only), the op -amp inverting amplifier & op -amp non -
inverting amplifier (mathematical analysis for derivation of output voltage only,
numerical examples & designing)
4.2 Adder , summing amplifier, averaging circuit, subtractor, integrator (ideal),
differentiator (ideal), difference amplifier, current amplifier & 3 op -amp
instrumentation amplifier (only mathematical analysis for derivation of output voltage
with numerical example s & designing included)
4.3 Current to voltage converters (I to V) & voltage to current converters (V to I) – floating
load & grounded load (mathematical analysis only – no numericals)
5 Oscillators &Comparators
6 5.1 Oscillators: RC phase shift oscillator, Wien bridge oscillator & the crystal oscillator
(theoretical description only – no mathematical analysis), numerical example & design
problem on RC phase shift oscillator & Wien bridge oscillator
5.2 Waveform Generators: Square wave generator & triangular wave generator (only

Page 59

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 49
Text Books:

1.Donald A. Neamen, “Electronic Circuit Analysis and Design”, TATA McGraw Hill, 2nd Edition.
2.Ramakant A. Gayakwad, “ Op-Amps and Linear Integrated Circuits ”, Pearson Prentice Hall, 4th Edition.

Reference Books:

1. Robert Boylestad," Electronic Devices and Circuit Theory", Pearson.
2.David A. Bell,“Electronic Devices and Circuits”, Oxford, Fifth Edition.
3. Muhammad H. Rashid, “Microelectronics Circuits Analysis and Design”, Cengage
4. S. Salivahanan, N. Suresh Kumar,“Electronic Devices and Circuits”, Tata McGraw Hill.
5. D. Roy Choudhury and S. B. Jain, “Linear Integrated Circuits”, New Age International Publishers, 4th Edition.
6. Sergio Franco, “Design with operational amplifiers &analog integrated circuits”, Tata McGraw Hill, 3rd edition
7. William D. St anley, “Operational Amplifiers with Linear Integrated Circuits ”, Pearson, 4th 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 the final IA marks

End Semester Examination:
1. Question paper will comprise of 6 questions, each of 20marks.
2. Total 4 questions need to be solved.
3. Question No.1 will be compulsory and based on entire syllabus wherein sub questions of 2 to 5 marks will be
asked.
4. Remaining questions will be selected from all the modules.
5. Weightage of each module in question paper will be proportiona l to the number of respective lecture hours
mentioned in the syllabus.

theoretical description – no mathematical analysis or designing examples)
5.3 Comparators: Inverting comparator, non -inverting comparator, zero crossing detector
(ZCD) & Schmitt Trigger (numerical examples & designing problem on the inverting
Schmitt Trigger for both symmetrical & non -symmetrical configurations), window
detector / comparator (theoretical description only)
6 Special Purpose Integrated Circuits
6 6.1 IC 555 timer internal block diagram & pin configuration, operation in astable&
monostable multivibrator with mathematical analysis & numerical examples, design
problems on astable& monostable multivibrator, applications in astable& monostable
configuration
6.2 ADC 0808 / 0809 & interfacing, DAC0808 & interfacing (theoretical description only)
6.3 Functional block diagram & working of the LT 1070 monolithic switching regulator
(theoretical description only)
Total 39

Page 60

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 50
Course
Code Course Name
Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECC 403 Controls and
Instrumentation 03 -- -- 03 -- -- 03


Course
Code Course
Name Examination Scheme
Theory Marks
Term
Work Practical
and
Oral Total Internal assessment
End
Sem.
Exam Exam
duration
Hours Test 1 Test 2 Avg. of
Test 1
and
Test 2
ECC
403 Controls
and
Instrument
ation 20 20 20 80 03 -- --
-- 100


Course Pre -requisite s:
1. Basic Electrical Engineering
2. Applied Mathematics (Laplace transform, ordinary differential equations)
3. Applied Physics

Course Objectives:
1. To develop the ability to model control systems and determine their time response and frequency
response.
2. To develop the ability to analyse stability of control systems.
3. To develop the ability to understand instruments and data acquisition systems.

Course Outcomes:
After successful completion of the course students will be able to
1. Derive the transfer functions for the given control systems.
2. Analyse the performance of control systems based on the time domain and frequency domain
specifications.
3. Judge the stability of the given control systems using appropriate stability crite ria.
4. Understand and explain the working principle of sensors and transducers.
5. Explain various parameters of data acquisition systems.
6. Describe instrument communication standards.

Page 61

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 51
Module
No. Unit
No. Contents Hrs.
1 Introduction to Control Systems and Mathematical Models

7 1.1 Introduction to control systems: The control system, servomechanisms, digital
control.
1.2 Mathematical models: Transfer functions, block diagram algebra, block diagram
reduction, signal flow graphs.
2 Time response analysis and stability analysis in time domain

7 2.1 Time response analysis: standard test signals, time response of first and second order
systems, steady state errors and error constants.
2.2 Stability in time domain: The concept of stability, necessary conditions for stability,
Hurwitz stability criterion, Routh stability criterion, relative stability analysis.
2.3 Stability analysis using root locus technique.
3 Stability Analysis in frequency domain and Introduction to advances in control
systems

7 3.1 Introduction to frequency response analysis, correlation between time and frequency
domain.
3.2 Stability analysis using Bode plots.
3.3 Nyquist stability criterion and stability analysis using Nyquist plot.
3.4 Introduction to advances in control systems: adaptive control, fuzzy logic control and
neural networks. Introduction to distributed control systems.
4 Sensors and Transducers 6
4.1 Introduction to sensors and transducers. Various types of sensors. Various types of
transducers and their principle of operation. Selection criteria of transducers.
4.2 Displacement and pressure transducers: potentiometers, pressure gauges, Linear
variable differential transducer (LVDT), strain gauges.
4.3 Temperature transducers: working principle, ranges and applications of resistance
temperature detectors (RTD), thermocouple and thermistor temperature transducers.
5 Signal conditioning DAS, Data logger and SCADA 6
5.1
Introduction to instrumentation systems, data acquisition system (DAS), use of
DAS in Intelligent instrumentation system. Design of pressure and temperature
measurement system using DAS. Data logger, its types and applications. SCADA -
communication ar chitecture, types, applications, open SCADA protocols. Cloud
based SCADA systems. Introduction to fibre optic instrumentation.

Page 62

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 52


Text Books:
1. I. J. Nagrath, M. Gopal, “Control System Engineering”, 5th edition, New Age International Publishers
2. B. S. Manke, “Linear Control Systems”, Khanna Publishers, New Delhi.
3. D. Patranabis, “Principle of Industrial Instrumentation”, Tata McGraw Hill.
4. A.K. Sawhney, “Electrical & Electronic Measurement & Instrumentation ” – DRS. India
5. H.S.Kalsi, “Electronic Instrumentation” -TMH, 2nd Edition.

Reference Books:
1. K. Ogata, “Modern Control Engineering”, PHI, New Delhi
2. Norman S. Nise, “Control System Engineering”, John Wiley and Sons.
3. B. C. Kuo, “Automatic Control Systems”, PHI, New Delhi
4. C. S. Rangan, G. R. Sharma and V. S. Mani, ‘Instrumentation Devices and Systems’, Tata McGraw -Hill
Publishing Company Ltd.
5. Helfrick& Cooper, “Modern Electronic Instrumentation & Measuring Techniques” – PHI


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


6 Telemetry and Instrument communication standards 6
6.1 Introduction to telemetry, landline telemetry, radio telemetry and types of
multiplexing.
6.2 Instrument interfacing, Current loop, RS232/485, Field bus, Modbus, GPIB, USB
Protocol, and HART communication Protocol.
Total 39

Page 63

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 53
Course
Code Course Name
Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECC
404 Microprocessors
and
Microcontrollers 03 -- -- 03 -- -- 03

Course
Code Course
Name Examination Scheme
Theory Marks
Term
Work Practical
and
Oral Total Internal assessment
End Sem.
Exam Exam
duration
Hours Test 1 Test 2 Avg. of
Test 1
and
Test 2
ECC
404 Micropro
cessors
and
Microcon
trollers 20 20 20 80 03 -- --
100

Course Pre -requisites:

1. Electronic Devices
2. Digital Electronics

Course Objectives:

1. To study the concepts and basic architecture of a Microprocessor and Microcontroller.
2. To write Assembly language programs for Microprocessors and Microcontrollersfor various applications.
3. To know the importance of different peri pheral devices and their interfacing to 8086 and 8051.
4. To build Microprocessor and Microcontroller based systems.

Course Outcomes:

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

1. Explain 16 -bit Microprocessor architectures and fundamental concepts of Microcontrollers
2. To develop programming skills for Microprocessors and Microcontrollers
3. To interface various devices in Microprocessor and Microcontroller systems
4. To design and implement Microprocessor and Microcon troller based systems.

Page 64

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 54
Module
No. Unit
No. Contents Hrs.
1 The 8086 Microprocessor 06
1.1 8086 Architecture
1.2 Memory Segmentation
1.3 8086 pin description
1.4 Interrupts and Interrupt service routines, Dedicated interrupts, Software interrupts
2 8086 programming 06
2.1 Addressing modes
2.2 Instruction Set and Assembler Directives
2.3 Assembly language programming
3 8086 Interfacing –Part I 05
3.1 Generating the 8086 System Clock and Reset Signals using 8284 clock generator
3.2 8086 Minimum and Maximum Mode CPU Modules
3.3 Minimum and Maximum Mode Timing Diagrams
3.4 Memory interfacing.
4 8086 Interfacing –Part II 06
4.1 8255 -PPI:Functional Block Diagram and description, Operating Modes
4.2 8259 - PIC: Functional Block Diagram and description, Cascaded mode of operation
4.3 System design (including Memory and I/O)
5 The 8051 Microcontroller 08
5.1 Differences between a Microprocessor and Microcontroller
5.2 Architecture of 8051
5.3 Memory Organization of the 8051
5.4 Addressing modes
5.5 Instruction set
5.6 Assembly language programming.
6 8051 Interfacing 08
6.1 I/O port programming
6.2 Programming 8051 Timers
6.3 Serial Port Programming
6.4 Interrupts Programming
6.5 LCD & Keyboard Interfacing
6.6 ADC, DAC & Sensor Interfacing
6.7 Stepper Motor and DC motor Interfacing
Total 39

Text Books:

1. 8086/8088 family: Design Programming and Interfacing: By John Uffenbeck (Pearson Education)
2. Microprocessor and Interfacing: By Douglas Hall (TMH Publication)
3. The 8051 Microcontroller and Embedded Systems Using Assembly and C: By M. A. Mazidi, J. C. Mazidi ,
Rolin D. McKinlay, Pearson Education, 2ndEdition.
4. The 8051 Microcontroller: ByKenneth J. Ayala, Cengage Learning India Pvt. Ltd, 3rdEdition

Page 65

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 55
Reference Books:

1. Microcomputer Systems: 8086/8088 family Architecture, Programming and Design: By Liu & Gibson (PHI
Publication).
2. The INTEL Microprocessors, Architecture, Programming and Interfacing: By Barry B. Brey
(PearsonPublishers, 8th Edition)
3. Microcontrollers: Architecture, Programming, Interfacing and System Design: By RajKamal, Pearson
Education, 2 005.
4. The 8051 Microcontroller Based Embedded Systems: By Manish K Patel, McGraw Hill, 2014.
5. Microcontroller Theory And Applications:By Ajay V Deshmukh, Tata Mcgraw Hill


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

Page 66

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 56
Course
Code Course Name
Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total

ECC
405 Discrete
Structures and
Automata Theory 03 - -- 03 - -- 03


Course Prerequisite:
Engineering Mathematics - I, II & III
Course Objectives:
1. To cultivate clear thinking for Creative Problem Solving.
2. To train students to understand and construct Mathematical Proofs.
3. To introduce the notions of Sets, Relations, Functions, Graphs and their applications.
4. To build concepts of theoretical design of Basic machines, Deterministic an d NonDeterministic Finite
statemachines and Pushdown Machines.
5. To gain the conceptual understanding of fundamentals of Grammars.
6. To prepare students with the mathematical aspects in other courses such as Formal Specification, Verification,
Artificial Intel ligence etc.
Course Outcomes:
After successful completion of the course students will be able to
1. Understand the notion of mathematical thinking, mathematical proofs and to apply them in problem solving.
2. Reason Logically.
3. Perform operations with Sets, Relat ions, Functions, Graphs and their applications.
4. Design Deterministic Finite Automata (DFA) and Non -deterministic Finite Automata (NFA) and Pushdown
Automata with understanding of power and limitations.
5. Design Context Free Grammar and perform the operations like simplification and normal forms.
6. Apply Discrete Structures and Automata Theory concepts into solving real world computing problems in the
domain of Formal Specification, Verification, Artificial Intelligence etc.
Course
Code Course Name Examination Scheme
Theory Marks
Term Work Practical
Total Internal assessment
End
Sem.
Exam Exam
duration
Hours Test
1 Test
2 Avg.
of
Test
1
and
Test
2
ECC
405 Discrete
Structures
and
Automata
Theory 20 20 20 80 03 - -
100

Page 67

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 57
Module
No. Unit
No. Contents Hrs
1 Set Theory and Logic 06
1.1 Set Theory: Fundamentals - Sets and Subsets, Venn Diagrams, Operations on sets,
Laws of Set Theory, Power Set,.
1.2 Principle of Inclusion and Exclusion, Mathematical Induction.
1.3 Propositions and Logical operations, Truth tables,Equivalence, Implications
1.4 Laws of Logic, Normal Forms, Inference
1.5 Predicates and Quantifiers
2 Relations and Functions 07
2.1 Relations - Definition, Properties of Relations
2.2 Types of binary relations (Equivalence and partial ordered relations),
2.3 Closures, Poset, Hasse diagram and Lattice
2.4 Functions -Definition,Types of Functions (Injective, Surjective and Bijective)
2.5 Identity and Inverse Functions
2.6 Pigeonhole Principle, Extended Pigeonhole Principle
3 Graph Theory 07
3.1 Graphs and their basic properties - degree, path, cycle, subgraphs, Types of graphs.
3.2 Definitions, Paths and circuits: Eulerian and Hamiltonian, Planner Graph.
3.3 Isomorphism of graphs, Dijkstra Shortest Path Algorithm
3.4 Trees, Types of Trees
4 Finite Automata 07
4.1 Introduction of Automata and its applications
4.2 Deterministic Finite Automata (DFA) and Nondeterministic Finite Automata (NFA):
Definitions, transition diagrams and Language recognizers, NFA to DFA
Conversion.
4.3 Eliminating epsilon -transitions from NFA.
4.4 FSM with output: Moore and Mealy machines.
5 Regular Expression (RE) and Regular Grammar (RG) 05
5.1 Regular Grammar and Regular Expression (RE): Definition,Equivalence and
Conversion from RE to RG and RG to RE.
5.2 Equivalence of RE and FA, Converting RE to FA and FA to RE.
6 Context Free Grammar (CFG) and Push Down Automata(PDA) 07
6.1 Grammars: Chomsky hierarchy, CFG - Definition, Sentential forms,
Leftmost and Rightmost derivations.
6.2 Context Free languages (CFL): Parsing and Ambiguity.
CFLs: Simplification and Applications.
6.3 Normal Forms: Chomsky Normal Form
6.4 PDA - Definition, Transitions (Diagrams, Functions and Tables), Design of PDA
with Graphical Notation and Instantaneous Descriptions.
Total 39

Page 68

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 58
Text Books:
1. BernadKolman, Robert Busby, Sharon Cutler Ross, Nadeem -ur-Rehman, “DiscreteMathematical
Structures”, Pearson Education.
2. C.L.Liu, “Elements of Discrete Mathematics”, Second edition 1985, McGraw -HillBook Company,
Reprinted 2000.
3. John E. Hopcroft, Rajeev Motwani, Jeffery D. Ullman, “Introduction to Automat a Theory, Languages
andComputation‖”, Pearson Education.
4. Vivek Kulkarni, “Theory of Computation”, Oxford University Press, India.

Reference Books:
1. K.H.Rosen, “Discrete Mathematics and applications”, fifth edition 2003, Tata McGraw Hill publishing
Company.
2. Y N Singh, “Discrete Mathematical Structures”, Wiley -India.
3. J .L.Mott, A.Kandel, T.P .Baker, Discrete Mathematics for Computer Scientists and Mathematicians,
second edition 1986, Prentice Hall of India.
4. J. P. Trembley, R. Manohar “Discr ete Mathematical Structures with Applications to Computer Science”,
Tata Mc Graw-Hill.
5. Seymour Lipschutz, Marc Lars Lipson,“ Discrete Mathematics” Schaum’s Outline, McGraw Hill
Education.
6. Daniel I. A. Cohen,” Introduction to Computer Theory”, Wiley Publicat ion.
7. Michael Sipser, “Theory of Computation”, Cengage learning.
8. J. C. Martin, “Introduction to Languages and the Theory of Computation”, Tata McGraw Hill.
9. Krishnamurthy E. V., “Introductory Theory of Computer Science”, East -West Press.
10. Kavi Mahesh, “Theory of Computation: A Problem Solving Approach“, Wiley -India.


Internal Assessment (IA):

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

End Semester Exam ination:

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 modules.

Page 69

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 59

Course
Code Course Name Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECL 401 Electronic
Circuits Lab -- 02 -- -- 01 -- 01



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
ECL 40 1 Electronic
Circuits Lab -- -- -- -- -- 25 25 50

Pre-requisite:
Electronic Devices Laboratory (ECL 302)

Laboratory Objectives:
1. To deliver a hands -on approach for studying electronic circuits using electronic devices
2. To practically analyze& compute performance parameters of various electronic circuits
3. To familiarize with principles of designing of practical electronic circuits as per given specifications
4. To develop overall approach for students from selection of integrated circuit, specification, functionality
and applications

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

1. Experimentally evaluate performance of amplifiers through frequency response.
2. Analyze differential amplifiers for various performance parameters
3. Implement practically various applications and circuits based on operational amplifiers.
4. Design an application with the use of integrated circuits as per the given specifications

Term Work:
At least 10 experiments covering entire syllabus of ECC 402 (Electronic Circuits) should be set to have well
predefined inference and conclusion. This must include 60% Hardware and 40% Simulation experiments. The
experiments should be student centric and a ttempt should be made to make experiments meaningful and interesting.
Experiment s 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
syllab us.

Page 70

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 60

Suggested List of Experiments:

Sr.
No. Experiment Name
1 To implement single stage MOSFET CS amplifier and study its frequency response
2 To implement Cascode amplifier and study its frequency response.
3 To determine input and output impedance of CS amplifier with and without feedback.
4 Experiment on op amp parameters
5 Experiment on design of application using op amp
6 Experiment on applications of opamp -comparator, zero crossing detector.
7 To perform an experiment to study the performance of RC phase shift oscillator.
8 To perform an experiment to study the performance of Crystal oscillator.
9 Experiment on ADC interfacing
10 Experiment on DAC interfacing

Simulation Experiments
Sr.
No. Experiment Name
1 SPICE simulation of frequency response of single stage CS MOSFET amplifier.
2 SPICE simulation of frequency response of Cascode amplifier
3 SPICE simulation on op amp parameters
4 SPICE simulation on design of application using op amp
5 SPICE simulation of applications of Opamps -Comparator, Zero crossing detector
6 SPICE simulation of RC phase shift oscillator.
7 SPICE simulation of Wien Bridge oscillator.
8 SPICE simulation of Crystal oscillator.

Note:
Suggested List of Experiments is indicative . However, flexibilities lies 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 curric ulum, so that, the fundamentals and applications can be explored to give greater clarity
to the students and they can be motivated to think differently.

Page 71

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 61
Course
Code Course Name
Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total

ECL 402 Controls and
Instrumentation
Laboratory -- 02 -- -- 01 -- 01

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

ECL 402 Controls and
Instrumentation
Lab. -- -- -- --
25 -- 25 50

Laboratory Objectives:

1. To determine the performance of control systems
2. To determine the stability of control systems
3. To understand the applications of instrumentation systems .

Laboratory Outcomes:

After successful completion of the course students will be able to

1. Simulate the performance of control systems
2. Analyse the stability of control systems via simulations
3. Develop the applicatio ns of Instrumentation systems

Term Work:

At least 10 experiments covering entire syllabus of Controls and Instrumentation (ECC 403) should be set to have well
predefined inference and conclusion. The experiments should be student centric and attempt should be made to make
experiments meaningful and interesting. Additionally, an Industrial Visit to any relevant industry is compulsory .
Experiment s 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.

Page 72

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 62
Suggested List of Experiments:

Sr.
No. Experiment Name
1 Obtain the transient response and time domain parameters for first and second order control systems. (using
trainer kits or simulation)
2 Determine step and impulse response for Type ‘0’, Type ‘1’, and Type ‘2’ systems. (Using trainer kits or
simulation)
3 Determin e root locus plot for second order system using simulation (MATLAB/ Scilab) and obtain
controller domain specification parameters. (verify results theoretically)
4 Determine Bode plot using MATLAB/Scilab for second order control system and obtain frequenc y domain
specification parameters. (verify results theoretically)
5 Analyze the effect of PI and PD controller on system performance (using trainer kits/MATLAB/Scilab)
6 Displacement measurement using LVDT.
7 Temperature measurement using thermistor, thermocouple and RTD.
8 Displacement measurement using capacitive transducer.
9 Pressure Measurement using Strain Gauge
10 Modification of Single channel DAS to Multichannel DAS
11 Demonstration of the SCADA system using open Source software
12 Design of 4 -20 mA current loop
13 Use of any Industrial interface/BUS for effective communication.

Note:
Suggested List of Experiments is indicative . However, flexibilities lies 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.

Page 73

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 63

Course
Code Course Name Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECL40 3 Microprocessors
and
Microcontrollers
Lab -- 02 -- -- 01 -- 01




Course
Code

Course
Name Examination Scheme
Theory Marks
Term
Work
Practical & Oral
Total Internal assessment End
Sem.
Exam Test 1 Test 2 Avg. of
Test 1
and
Test 2
ECL 40 3 Microprocessors
and
Microcontrollers
Lab - - - -
25 25 50


Laboratory Objectives:

1. To write Assembly language programs for Microprocessors and Microcontrollers for various applications.
2. To know the importance of different peripheral devices and their interfacing to 8086 and 8051.

Laboratory Outcomes:

After successful completion of the laboratory students will be able to
1. To develop programming skills for Microprocessors and Microcontrollers
2. To interface various devices in Microprocessor and Microcontroller systems


Term Work:
At least 10 experiments covering entire syllabus of Microprocessors and Microcontrollers (ECC 404) should be set to
have well predefined inference and conclusion. The experiments should be student centric and attempt should be made
to make experiments meaningful and interesting. Simulation experiments are also encouraged. Experiment s must be
graded from time to time. The grades s hould 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 p erformance of laboratory work and minimum
passing marks in term work. Practical and Oral exam will be based on the entire syllabus.

Page 74

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 64
Suggested List of Experiments:

Sr.
No. Experiment Name
1 Arithmetic Operations(using 8086)
2 Logical Operations(using 8086)
3 BCD Operations(using 8086)
4 Arrange block of data in Ascending /Descending order (using 8086)
5 32 Bit multiplication (using 8086)
6 Password verification (using 8086)
7 String operations (Reversing of string and Palindrome) (using 8086)
8 Code conversions (using 8086)
9 Serial port programming of 8051
10 Applications of Timers of 8051
11 LCD Interfacing (using 8051)
12 Sensor interfacing using an ADC (using 8051)
13 Generation of different waveforms using DAC (using 8051)
14 Speed Control of DC Motor (using PWM) (using 8051)
15 Stepper Motor Interfacing (using 8051)

Note:
Suggested List of Experiments is indicative . However, flexibilities lies 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 applicati ons can be explored to give greater clarity
to the students and they can be motivated to think differently.

Page 75

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 65
Course
Code Course Name
Teaching Scheme Credits Assigned

ECL 404 Skill -Based
Lab:
Python
Programming Theory Practical Tutorial Theory Practical Tutorial Total
-- 01$ + 03 -- -- 02 -- 02
$ One -hour theory per week for the complete class. (For simplifying its implementation, 2hrs. theory onalternate
weeks can be conducted)

Course
Code Course Name Examination Scheme
Theory Marks Term
Work Practical and
Oral Total
Internal Assessment End
Sem.
Exam Exam
duration
Hours
Test
1 Test
2 Avg. of
Test 1 and
Test 2
ECL404 Skill -Based
Lab:
Python
Programming -- -- -- -- -- 50 -- 50

Course pre -requisite:

ECL 304 – Skill Lab: C++ and Java Programming

Course Objectives:

1. Describe the core syntax and semantics of Python programming language.
2. Explore file handling in Python
3. Infer the Object -oriented Programming concepts in Python
4. Formulate GUI Programming and Databases operations in Python
5. Develop applications using variety of libraries and functions

Course Outcomes:

After successful completion of the course student will be able to ;
1. Describe syntax and semantics in Python
2. Illustrate different file handling operations
3. Interpret object -oriented programming in Python
4. Design GUI Applications in Python
5. Express proficiency in the handling Python libraries for data science
6. Develop machine learning applications using Python.

Page 76

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 66

Module
No. Unit
No. Content Hrs.
1 Introduction to Python

06 1.1 Introduction to Python, Installation and resources, Identifiers and Keywords,
Comments, Indentation and Multi -lining, Variables (Local and Global), data types,
Arithmetic, Comparative, Logical and Identity Operators, Bitwise Operators,
Expressions, Print statement and Formats, Input Statements in python .
1.2 Strings, Lists, Tuples, Dictionaries, Sets, Accessing Elements, Properties,
Operations and methods on these data structures.
1.3 Decision Flow Control Statement: if and else statement, Nested If statement, Loop
Statement: While Loop, do and while loop, for loop statement, Continue, Break and
pass Statement, Conditional Statements .
2 Functions and File I/O Handling 06
2.1 Functions: Built -in-functions, library functions, Defining and calling the functions,
Return statements, Passing the arguments, Lambda Functions, Recursive functions,
Modules and importing packages in python code.
2.2 File Input/Output: Files I/O operations, Read / Write Operations, File
Opening Modes, with keywords, Moving within a file, Manipulating files and
directories, OS and SYS modules.
3 Object Oriented Programming 08
3.1 Classes and Objects, Public and Private Members, Class Declaration and Object
Creation, Object Initialization, Class Variables and methods, Accessing Object and
Class Attributes.
3.2 Intricacies of Classes and Objects, Inheritance, Constructor in Inheritance,
Exception Handling, Link list, Stack, Queues.
4 Graphical User Interface and Image processing 08
4.1 Graphical User Interface using Tkinter Library module, creating simple GUI;
Buttons, Labels, entry fields, widget attributes.
4.2 Database: Sqilite database connection, Create, Append, update, delete records from
database using GUI.
4.3 Basic Image Processing using OpenCV library, simple image manipulation using
image module.
5 Numpy, Pandas, Matplotlib, Seaborn, Scipy 10
5.1 Introduction to Numpy, Creating and Printing Ndarray, Class and Attributes of
Ndarray, Basic operation, Copy and view, Mathematical Functions of Numpy.
5.2 Introduction to Pandas, Understanding Dataframe, View and Select Data,
Missing Values, Data Operations, File read and write operation.
5.3 Introduction to Matplotlib library, Line properties, Plots and subplots, Types of Plots,
Introduction to Seaborn.
5.4 Introduction to Scipy, Scipy Sub packages – Integration and Optimization, Eigen
values and Eigen Vectors, Statistic, Weave and IO.

Page 77

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 67
6 Python Applications 10
6.1 GUI based applications
6.2 Applications in Image Processing, Networking
6.3 Machine Learning, Linear Regression, Logistic Regression
6.4 Classification using K nearest neighbor
6.5 Support Vector Machines
Total 48

Text Books:
1. YashvantKanetkar, “Let us Python: Python is Future, Embrace it fast”, BPB Publications; 1st edition (8 July
2019).
2. Dusty Phillips, “Python 3 object -oriented Programming”, Second Edition PACKT Publisher, August 2015.
3. John Grayson, “Python and Tkinter Programming”, Manning Publications (1 March 1999).
4. Core Python Programming, Dr. R. Nageswara Rao, Dreamtech Press
5. Beginning Python: Using Python 2.6 and Python 3.1. James Payne, Wrox publication
6. Introduction to computing and problem solving using python, E Balagurusamy, McGraw Hill Education

Reference books:
1. Eric Matthes, “Python Crash Course A hands -on, Project Based Introduction to programming” No
Starch Press; 1st edition (8 December 2015).
2. Paul Barry, “Head First Python” O′Reilly; 2nd edition (16 December 2016)
3. Zed A. Shaw, “Learn Python the Hard Way: A Very Simple Introduction to the Terrifyingly
4. Beautiful World of Computers and Code”, Addison Wesley; 3rd edition (1 October 2013).
5. Andreas C . Mueller, “Introduction to Machine Learning with Python”, O’Reilly; 1st edition (7
October 2016)
6. David Beazley, Brian K. Jones, “Python Cookbook: Recipes for Mastering Python 3”, O'Reilly
Media; 3rd edition (10 May 2013).
7. Bhaskar Chaudhary, “Tkinter GUI A pplication Development Blueprints: Master GUI
8. Programming in Tkinter as you design, implement, and deliver 10 real world application”, Packt
Publishing (November 30, 2015)

Software Tools:
• Python IDE: https://www.python.org/downloads/
• Anaconda Environnent : https://www.anaconda.com/distribution/

Online Repository:
1. Github
2. Python 3 Documentation: https://docs.python.org/3/

Page 78

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 68
3. "The Python Tutorial", http://docs.python.org/release/3.0.1/tutorial/
4. http://spoken -tutorial.org
5. Python 3 Tkinter library Documentation: https://docs.python.org/3/library/tk.html
6. Numpy Documentation: https://numpy.org/doc/
7. Pandas Documentation: https://pandas.pydata.org/docs/
8. Matplotlib Documentation: https://matplotlib.org/3.2.1/contents.html
9. Scipy Documentation: https://www .scipy.org/docs.html
10. Machine Learning Algorithm Documentation: https://scikit -learn.org/stable/
11. https://nptel.ac.in/courses/106/106/106106182/

Sr.
No. Problem Statement Module
No.
1 1. Write python programs to understand expressions, variables, quotes, basic math
operations, list, tuples, dictionaries, arrays etc.
2. Write Python program to implement byte array, range, set and different STRING
Functions (len, count, lower, sorted etc)
3. Write Python program to implement control structures.
4. Assume a suitable value for distance between two cities (in km).
5. Write a program to convert and print this distance in meters, feet, inches and
centimeter.
6. Write a program to carry out the following operatio ns on the given set
7. s = {10, 2, -3, 4, 5, 88}

a) Number of items in sets s
b) Maximum element in sets s
c) Minimum element in sets s
d) Sum of all elements in sets s
e) Obtain a new sorted set from s, set s remaining unchanged
f) Report whether 100 is an element of sets s
g) Report whether -3 is not an element of sets s. Module 1
2 1. Write python program to understand different File handling operations
2. Create 3 lists – a list of names, a list of ages and a list of salaries.
3. Generate and print a list of tuples containing name, age and salary from the 3 lists. From this
list generate 3 tuples – one containing all names, another containing all ages and third
containing all salaries. Module 2
3 1. Write Python program to implement classes, object, Static method and inner class
2. If any integer is given as in input through the keyboard, write a program to find whether it
is odd or even number.
3. If ages of Ram, Shyam, and Ajay are given as an input through the keyboard, write a
program to determine the youngest of the three.
4. Write a program that prints square root and cube root of numbers from 1 to 10, up to 4
decimal places. Ensure that the output is displayed in separate lines, with number center -
justified and square and cube roots right -justified. Module 3

Page 79

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 69
5. Write a program to find the factorial value of any number enteredthrough the keyboard.
6. Write a program that defines a function count_lower_upper( ) that accepts a string and
calculates the number of uppercase and lowercase alphabets in it. It should return these
values as a dictionary. Call this function for some sample strings.
7. A 5-digit positive integer is entered through the keyboard, write arecursive function to
calculate sum of digits of 5 -digit number.
4 1. Write Python program to create, append, update, delete records from database using
GUI.
2. Write Python program to obtain histogram of any image
3. Write Python Program to split color image in R,G,B and obtain
a. individual histograms.
4. Write Python program for histogram equalization
5. Write Python Program for edge detection
6. Write Python Program for image segmentation
7. Write Python program to implement GUI Canvas application using Tkinter
8. Write Python program to implement GUI Frame application using Tkinter Module 4
5 1. Write Python program to study define, edit arrays and perform arithmetic operations.
2. Write python program to study selection, indexing, merging, joining, concatenation in
data frames
3. Evaluate the dataset containing the GDPs of different countries to:
a) Find and print the name of th e country with the highest GDP
b) Find and print the name of the country with the lowest GDP
c) Print text and input values iteratively
d) Print the entire list of the countries with their GDPs
e) Print the highest GDP value, lowest GDP value, mean GDP
value, standardized GDP value, and the sum of all the GDPs
4. Analyze the Federal Aviation Authority (FAA) dataset using Pandas to do the
following:
a) View: aircraft make name, state name, aircraft model name, text information,
flight phase, event description type, fatal flag
b) Clean the dataset and replace the fatal flag NaN with “No”.
c) Find the aircraft types and their occurrences in the dataset
d) Remove all the observations where aircraft names are not available
e) Display the observations where fatal flag is “Yes”
5. Analyze the “auto mpg data” and draw a pair plot using seabornlibrary for mpg, weight,
and origin.
(a) Origin: This dataset was taken from the StatLib library maintained at Carnegie
Mellon University.
• Number of Instances: 398
• Number of Attributes: 9 including the class attribute
• Attribute Information:
• mpg: continuous
• cylinders: multi -valued discrete
• displacement: continuous Module 5

Page 80

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 70
• horsepower: continuous
• weight: continuous
• acceleration: continuous
• model year: multi -valued discrete
• origin: multi -valued discrete
• car name: string (unique for each instance)


6. Write python program to use SciPy to solve a linear algebraproblem.

7. There is a test with 30 questions worth 150 ma rks. The test has twotypes of questions:
1. True or false – carries 4 marks each
2. Multiple -choice – carries 9 marks each.
Find the number of true or false and multiple -choice questions.
6 1. Write python program to study linear regression
2. Write python program to study multiple linear regression
3. Write python program to study logistic regression
4. Write python program to study Support Vector Machine
5. Write python program to study decision tree algorithm
6. Write python pro gram to study two -way communication between client and server. Module 6

Suggested list of course projects:
• Speed typing Test using Python
• Music player in Python
• Calculator app using tkinter
• Train announcement system using python
• Dice rolling simulator
• Expense tracker
• Contact book using python
• Develop classification model using freely available datasets
• Develop python application for sentiment analysis
Note:
Suggested List of Experiments is indicative . However, flexibilities lies 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 applicati ons can be explored to give greater clarity
to the students and they can be motivated to think differently.

Term Work:
At least 12 experiments and 1 course project should be performed. Term work assessment must be based on the
overall performance of the student with every experiment graded from time to time. The grades will be converted to
marks as per “Credit and Grading System” manual and should be added and averaged. Based on above scheme
grading and term work assessment should be do ne.

Page 81

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 71

Course Code Course Name Credits
ECM 401 Mini Project - 1B 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
ECM
401 Mini
Project -1B -- -- -- -- -- 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 fundamentalsto attempt solutions to the
problems.
4. To inculcate the process of self -learning and research.

Outcome s:

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. Analyse the impact of sol utions in societal and environmental context for sustainable 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. Demons trate project management principles during project work.

Page 82

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 72
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.
• Students hall submit implementation plan in 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 t o 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 with 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 th e 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 adh ering 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 project idea in even semester. This po licy can be adopted
on case by case basis.

Guidelines for Assessment of Mini Project:

Term 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 conti nuous 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;
o Marks awarded by guide/supervisor based on log book : 10
o Marks awarded by review committee : 10
o Quality of Project report : 05


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

Page 83

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 73
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 shall be for finalisation of problem
▪ Second shall be on finalisation of proposed solution of problem.
• In second semester expected work sh all 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 is based on readiness of building working prototype to be conducted.
▪ Second review shall be based on poster pr esentation cum demonstration of working model
in last month of the said semester.
Half -year project:
• In this case in one semester students’ group shall complete project in all aspects including,
o Identification of need/problem
o Proposed final solution
o Procurement of components/systems
o Building prototype and testing
• Two reviews will be conducted for continuous assessment,
▪ First shall be for finalisation of problem and proposed solution
▪ Second shall be for implementation and testing of 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. Cost effectiveness
6. Societal impact
7. Innovativeness
8. Cost effectiveness and Societal impact
9. Full functioning of working model as per sta ted requirements
10. Effective use of skill sets
11. Effective use of standard engineering norms
12. Contribution of an individual’s as member or leader
13. Clarity in written and oral communication

• In one year, project , first semester evaluation may be b ased 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 evaluation of
performance of students in mini pro ject.

Page 84

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science (Rev. 2019) 'C' Scheme
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE) 74
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
organisations having experience of more than five years approved by head of Institution.
• Students shall be motivated to publish a paper ba sed on the work in Conferences/students competitions.

Mini Project shall be assessed based on the following points;
1. Quality of problem and Clarity
2. Innovativeness in solutions
3. Cost effectiveness and Societal impact
4. Full functioning of working model as per stated requirements
5. Effective use of skill sets
6. Effective use of standard engineering norms
7. Contribution of an individual’s as member or leader
8. Clarity in written and oral communication