Electronics and Computer Science 1 Syllabus Mumbai University


Electronics and Computer Science 1 Syllabus Mumbai University by munotes

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Copy for information and necessary action : -

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(CAD),
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Migration Department (AEM),
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(RAPC),
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He is requested to treat this as action taken report on the concerned
resolution adopted by the Academic Council referred to the above
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AC – 28/12/2021
Item No. - 6.9











































UNIVERSITY OF MUMBAI



Bachelor of Engineering
(Electronics and Computer Science )

Direct Second Year (Sem. III) Admitted Students for the
current Academic Year 2021 -22 Only due to Covid
Pandemic

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


Under
FACULTY OF SCIENCE & TECHNOLOGY



Page 4

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science
(Rev. 2020)
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER
SCIENCE), REV 2020 2
Preamble
To meet the challenge of ensuring excellence in engineering education, the issue of quality needs to
be addressed, debated and taken forward in a systematic manner. Accreditation is the principal means
of quality assurance in higher education. The major emphasis of accreditation process is to measure
the outcomes of the progr am 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 teaching. It also focus es
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 heavily loading st udents 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
knowledge but also on building skills, attitude and self -learning. There -fore 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
Member, Academic Council, RRC in Engineering
University of Mumbai

Page 5

Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science
(Rev. 2020)
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER
SCIENCE), REV 2020 3
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 revisions of the curriculum in the years
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
reduced to 171, to provide opportunity of self-learning to learner. Learners are now getting sufficient
time for self -learning either through online courses or additional projects for enhancing their
knowledge and skill sets.
The Principals/ HOD’s/ Faculties of all the institutes 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 completi on, they are required to submit
certification for the same. This will definitely help learners to facilitate their enhanced learning based
on their interest.

Dr. S. K. Ukarande
Associate Dean
Faculty of Science and Technology
Member, Academic Council, RRC in Engineering
University of Mumbai

Page 6

Programme Structure for Direct Second Year Admitted Students in (B.E.) – Electronics and Computer Science AY2021 -22 only
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER
SCIENCE), REV 2020 4

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 Maths 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

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Programme Structure for Direct Second Year Admitted Students in (B.E.) – Electronics and Computer Science AY2021 -22 only
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER
SCIENCE), REV 2020 5



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 301 Engineering
Maths 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 -based Lab
course: OOPM
(C++
and Java) - - - - - 50 - 50
ECM 301 Mini Project - 1A 25 25 25
Total - - 100 400 - 200 125 825

Page 8

Programme Structure for Direct Second Year Admitted Students in (B.E.) – Electronics and Computer Science AY2021 -22 only
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER
SCIENCE), REV 2020 6

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 and2:
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.

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Programme Structure for Direct Second Year Admitted Students in (B.E.) – Electronics and Computer Science AY2021 -22 only
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER
SCIENCE), REV 2020 7


Course
Code

Course Name Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECC 301 Engineering
Maths III 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
ECC
301 Engineering
Maths III 20 20 20 80 03 25 -- -- 125


Pre-requisite:
Engineering Mathematics -I, Engineering Mathematics -II, Scalar and Vector Product: Scalar and vector product of
three and four vectors

Course Objectives:
The course is aimed
1. To learn the Laplace Transform, Inverse Laplace Transform of various functions and its applications.
2. To understand the concept of Fourier Series, its complex form and enhance the problem -solving skills.
3. To understand the concept of complex variables, C -R equations, harmonic functions and its conjugate and
mapping in complex plane.
4. To underst and the basics of Linear Algebra.
5. To use concepts of vector calculus to analyze and model engineering problems.

Course Outcomes:
After successful completion of the course students will be able to:
1. Understand the concept of Laplace transform and its application to solve the real integrals in engineering
problems.
2. Understand the concept of inverse Laplace transform of various functions and its applications in engineering
problems.
3. Expand the periodic function by using Fourier series for real life probl ems and complex engineering
problems.
4. Understand complex variable theory, application of harmonic conjugate to get orthogonal trajectories and
analytic function.
5. Use matrix algebra to solve the engineering problems.
6. Apply the concepts of vector calculus in real life problems.

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Programme Structure for Direct Second Year Admitted Students in (B.E.) – Electronics and Computer Science AY2021 -22 only
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER
SCIENCE), REV 2020 8




Module
No.
Unit
No.
Contents
Hrs.
1 Laplace Transform 06
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.
2 Inverse Laplace Transform 06
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.
3 Fourier Series 06
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 𝜋 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.
4 Complex Variables 06
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).

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Programme Structure for Direct Second Year Admitted Students in (B.E.) – Electronics and Computer Science AY2021 -22 only
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER
SCIENCE), REV 2020 9



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, bilinear mapping, cross ratio, fixed points
and standard transformations
5 Linear Algebra: Matrix Theory 06
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 on verification of
Cayley - Hamilton theorem and compute inverse of Matrix.
5.3 Similarity of matrices, Diagonalization of matrices. Functions of square matrix
Self-learning Topics: Application of Matrix Theory in machine learning and google page rank
algorithms, derogatory and non -derogatory matrices .
6 Vector Differentiation and Integral 06
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 Topics: Gauss’ divergence Theorem and applications of Vector calculus
Total 36

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Programme Structure for Direct Second Year Admitted Students in (B.E.) – Electronics and Computer Science AY2021 -22 only
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER
SCIENCE), REV 2020 10

References:
1. H. K. Das, Advanced Engineering Mathematics, S. Chand Publications, 22nd edition, 2018.
2. B. V. Ramana, Higher Engineering Mathematics, Tata Mc-Graw Hill Publication.1st edition, 2006.
3. R. K. Jain and S. R. K. Iyengar, Advanced Engineering Mathematics, Narosa Publication, 1st
edition, 2006.
4. Wylie and Barret, Advanced Engineering Mathematics, Tata Mc -Graw Hill, 6st edition, 2003.
5. Murray Spiegel, Schaum's Outline of Fourier Analysis with Applications to Boundary Value
Problems (Schaum's Outline Series).
6. Murray Spiegel, Schaum's Outline of Vector Analysis (Schaums' Outline Series), Mc-Graw Hill
Publication.
7. Seymour Lipschutz, Schaum's Outline of Beginning Linear Algebra (Schaums' Outline Series),
Mc-Graw Hill Publication.
8. Dr. B. S. Grewal, Higher Engineering Mathematics, Khanna Publication, 43rd edition, 2010.



Term Work:
General Instructions:
1. Batch wise tutorials are to be conducted. The number of students per batch should be as per
University pattern for practicals.
2. Students must be encouraged to write at least 6 class tutorials on entire syllabus.
3. 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 depending on the
performance of the students.
4. 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

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 13

Programme Structure for Direct Second Year Admitted Students in (B.E.) – Electronics and Computer Science AY2021 -22 only
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER
SCIENCE), REV 2020 11

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 nano -electronic 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 biasing circuits & configurations of BJT and MOSFETs.
5. Select best circuit for the given specifications/application.
6. Describe the working of advanced nano -electronic devices

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Programme Structure for Direct Second Year Admitted Students in (B.E.) – Electronics and Computer Science AY2021 -22 only
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER
SCIENCE), REV 2020 12


Module
No.
Unit
No.
Contents
Hrs.



1 P-N Junction Diode & Applications 06
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, Schottky diode, Photo
diode, Light emitting diode (LED) & Solar cells

3 Bipolar Junction Transistor (BJT) 03
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


4 Field Effect Devices (FET) 03
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)




5 Rectifiers &Filters 04
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)
Total 20

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Programme Structure for Direct Second Year Admitted Students in (B.E.) – Electronics and Computer Science AY2021 -22 only
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER
SCIENCE), REV 2020 13

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. Boylestead," 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, “Electronic Devices and Circuits”, Tata McGraw
Hill.
5. Millman and Halkies, “Integrated El ectronics”, 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 will be considered as final IA marks.

End Semester Examination:
1. Question paper will com prise 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.

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Programme Structure for Direct Second Year Admitted Students in (B.E.) – Electronics and Computer Science AY2021 -22 only
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER
SCIENCE), REV 2020 14



Course
Code

Course
Name Teaching Scheme Credits Assigned
Theory Practical
and oral Tutorial Theory Practical
and oral Tutorial Total

ECC 303 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

ECC 303 Digital
Electronics 20 20 20 80 03 -- -- 100


Course Pre-requisites:
Basic Electrical & Electronics Engineering

Course Objectives:
1. To understand various number systems & 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 programs with Verilog hardware description languages.

Course Outcomes :
After successful completion of the course st udents will be able to
1. Perform code conversion and able to apply Boolean algebra for the implementation and minimisation of logic
functions.
2. Analyse, design and implement Combinational 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 Hardware Description Language and its programming with combinational and
sequential logic circuits.

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Programme Structure for Direct Second Year Admitted Students in (B.E.) – Electronics and Computer Science AY2021 -22 only
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER
SCIENCE), REV 2020 15

Module
No. Unit No Contents Hrs.
1 Fundamentals of Digital Design 02
1.1 Number Systems and Codes: Review of Number System, Weighted code, Parity Code:
Hamming Code
Combinational Circuits using basic gates as well as MSI devices 02
2 2.1 Arithmetic Circuits: Ripple carry adder, Carry Look ahead adder
2.2 MSI devices: IC 7483, IC 74151, IC 74138, IC 7485.
Sequential Logic Design 07
3 3.1 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.
3.2 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 04
4 4.1 CMOS Logic : CMOS inverter, CMOS NAND and CMOS NOR, Interfacing CMOS to
TTL and TTL to CMOS.
4.2 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 05
5 5.1 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 o perator, always, if, case, loop statements, Gate level modelling, Module
instantiation statements.
5.2 Modelling Examples: Combinational logic eg. Arithmetic circuits, Multiplexer,
Demultiplexer, decoder, Sequential logic eg. flip flop, counters.
Total 20

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Programme Structure for Direct Second Year Admitted Students in (B.E.) – Electronics and Computer Science AY2021 -22 only
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER
SCIENCE), REV 2020 16

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 Zvonko Vranesic, 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”, Prentice Hall 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
Assessmen t I) is to be conducted when approx. 40% syllabus is completed and the second class
test (Internal Assessment II) when additional 40% syllabus is completed. Duration 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 se lected from all the modules.
5. Weightage of each module will be proportional to the number of respective lecture hours as
mentioned in the syllabus.

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Programme Structure for Direct Second Year Admitted Students in (B.E.) – Electronics and Computer Science AY2021 -22 only
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER
SCIENCE), REV 2020 17


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
duration
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. To implement various operations on data structures.
3. To study different sorting and searching techniques.
4. To choose 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 non -linear 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 appropriate data structure and
algorithms.
5. Analyse the complexity of the given algorithms.

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UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER
SCIENCE), REV 2020 18


Module
No. Unit
No.
Contents
Hrs.
1 Introduction to Data Structures 02
Introduction to Data Structures, Types of Data Structures – Linear and Nonlinear,
Operations on Data Structures, Concept of array, Static arrays vs Dynamic Arrays,
structures.
2 Stack and Queues 04
Introduction, Basic Stack Operations, Representation of a Stack using Array,
Applications of Stack – Infix to Postfix Conversion and Postfix Evaluation.
Queue, Operations on Queue
3 Linked List 04
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,
Print SLL.
Implementation of Stack and Queue using Singly Linked List.
4 Trees 04
Introduction, Tree Terminologies, Binary Tree, Representation of Binary Trees,
Binary Tree Traversals, Binary Search Tree Operations on Binary Search Tree,
5 Graphs 03
Introduction, Graph Terminologies, Representation of graph (Adjacency matrix and
adjacency list), Graph Traversals – Depth First Search (DFS) and Breadth First Search
(BFS)
6 Introduction to Sorting and Searching 03
Introduction to Searching: Linear search, Binary search,
Sorting: Internal VS. External Sorting, Sorting Techniques: Bubble, Insertion,
selection, Quick Sort, Merge Sort
Total 20




Text Books:
1. Data Structures Using C, Aaron M Tenenbaum, Yedidyah Langsam, 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.Ka kde, Dreamtech Press.
5. Data Structures: A Pseudocode Approach with C, Richard F. Gilberg & Behrouz A.
Forouzan, Second Edition, CENGAGE Learning

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UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER
SCIENCE), REV 2020 19

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 Structures 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, S chaum’s Outlines.



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

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UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER
SCIENCE), REV 2020 20


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 concepts 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. Construct relational model and write relational algebra queries.
4. Form ulate SQL queries
5. Apply the concept of normalization to relational database design.
6. Describe the concepts of transaction, concurrency and recovery.

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UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER
SCIENCE), REV 2020 21



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 03
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
3 Relational Model and Relational Algebra 03
3.1 Relational schema and concept of keys
3.2 Relational Algebra – operators, Relational Algebra Queries.
4 Structured Query Language (SQL) 05
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
5 Relational –Database Design 03
5.1 Concept of normalization
5.2 Function Dependencies
5.3 First Normal Form, 2NF, 3NF
6 Transactions Management and Concurrency and Recovery 03
6.1 Transaction Concept, Transaction states

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UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER
SCIENCE), REV 2020 22

6.2 ACID properties
6.3 Transaction Control Commands
6.4 Serializability: Conflict and View
Total 20

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 Semeste r 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 .

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Programme Structure for Direct Second Year Admitted Students in (B.E.) – Electronics and Computer Science AY2021 -22 only
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER
SCIENCE), REV 2020 23

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 301 Electronic
Devices
Lab -- -- -- -- -- 25 25 50



Term Work:

At least 6 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 attempt should be made to make the
experiments meaningful and interesting. Experiments must be graded from time to time. The grades should
be converted into marks as per the Credit and Grading System manual and should be added and averaged.
The grading and term work assessment should be done based on 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 characteris tics of semiconductor devices.
3. Analyse electronics circuits using BJT and FET (DC & AC analysis)
4. Simulate basic circuits using electronic devices through software simulation

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UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER
SCIENCE), REV 2020 24

Suggested List of Experiments is given below. 70% of the experiments performed should be from
this list. For the rest 30%, the course instructor has the option to set innovative experiments, from
within the curriculum.

List of Hardware Experiments

Sr.
No. Experiment Name
1 To study passive (R, L, C) and active (BJT, MOSFET) 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 Full wave/Bridge rectifier with LC/pi filter.
6 To perform Zener as a shunt voltage regulator.
7 To simulate VI characteristics of MEMRISTOR using nanohub.org

List of Simulation Experiments

Sr.
No. 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.

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UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER
SCIENCE), REV 2020 25


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



Term Work:
At least 6 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 C redit 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.
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 sequential circuits and analyze the results using Verilog HDL.

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UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER
SCIENCE), REV 2020 26

Suggested List of Experiments is given below. 70% of the experiments performed should be from
this list. For the rest 30%, the course instructor has th e option to set innovative experiments, from
within the curriculum.
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

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

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UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER
SCIENCE), REV 2020 27

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 303 Data
Structures
and
Algorithms
Lab -- -- -- -- -- 25 25 50



Term Work:
At least 6 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 sh ould be
student centric and attempt should be made to make experiments meaningful and interesting. Experiment
must be graded from time to time. The grades should be converted into marks as per the Credit and Grading
System manual and should be added and averaged. The grading and term work assessment should be done
based on this scheme. The final certification and acceptance of term work ensures satisfactory performance
of laboratory work and minimum passing marks in term work. Practical and Oral exam will be based on the
entire syllabus.
Total 25 Marks = (Experiments -15 mark + Attendance -5 mark + Assignments -05 mark) 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 be able to choose appropriate data structure and apply it in various problem domains.
4. Students will be able to select ap propriate searching techniques for given problems.

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UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER
SCIENCE), REV 2020 28

Suggested List of Experiments
(*) marked experiments are compulsory.












Useful Links:

1. www.leetcode.com
2. www.hackerrank.com
3. www.cs.usfca.edu/~galles/visualization/Algorithms.html
4. www.codechef.com Sr.
No Experiment Name
1 *Implement Stack ADT using array
2 *Convert an Infix expression to Postfix expression using stack ADT
3 *Implement Linear Queue ADT using array
4 *Implement Singly Linked List ADT
5 *Implement Binary Search Tree ADT using Linked List
6 *Implement searching algorithms -Linear search, Binary search
7 *Implement sorting algorithms (any 2) - bubble, selection, insertion, merge,quick

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Programme Structure for Direct Second Year Admitted Students in (B.E.) – Electronics and Computer Science AY2021 -22 only
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER
SCIENCE), REV 2020 29


Course
Code Course Name Teaching Scheme Credits Assigned
Theory Practical Tutorial Theory Practical Total
ECL 304 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 304 Database
Management
Systems lab -- -- -- -- -- 25 25 50



Term Work:
At least 6 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 sh ould be made to make the experiments meaningful and interesting. Experiments must be graded
from time to time. The grades should be converted into marks as per the Credit and Grading System manual
and should be added and averaged. The grading and term work assessment should be done based on 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 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 realworld 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

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UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER
SCIENCE), REV 2020 30

Suggested List of Experiments is given below. 70% of the experiments performed should be from
this list. For the rest 30%, the course instructor has the option to set innovative experiments, from
within the curriculum.




Sr. No. Experiment Name
1 Identify the case study and detailed statement of problem. Design an Entity -Relationship (ER)
2 Create a database using Data Definition Language (DDL) and apply integrity constraints for the
specified System
3 Apply DML Commands for the specified system
4 Perform Simple queries, string manipulation operations and aggregate functions.
5 Implement various Join operations.
6 Perform Nested and Complex queries
7 Perform DCL and TCL commands
8 Demonstrate Database connectivity

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Programme Structure for Direct Second Year Admitted Students in (B.E.) – Electronics and Computer Science AY2021 -22 only
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER
SCIENCE), REV 2020 31




Course
Code
Course Name Teaching Scheme
(Hrs.)
Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
ECL 305 Skill -based Lab
OOPM -- 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
ECL
305 Skill -based
Lab OOPM -- -- -- -- -- 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
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 different control structures.
2. Understand fundamental features of an object -oriented language: object classes and interfaces,
exceptions and libraries of object collections.
3. Understand Java Programming.
4. To develop a program that efficiently implements the features and packaging concept of java in
laboratory.
5. To implement Exception Handling and Applets using Java.

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UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER
SCIENCE), REV 2020 32

Module
No
Unit
No.
Contents
Hrs.
1 Introduction to Java 06
1.1 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.
1.2 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.
2 Inheritance, Polymorphism, Encapsulation using Java 12
2.1 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.
2.2 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, finding packages and CLASSPATH, access
protection, importing packages, interfaces (defining, implementation, nesting, applying),
variables in interfaces, extending interfaces, instance of operator.
3 Exception Handling and Applets in Java 06
3.1 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).
3.2 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 24

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.

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Programme Structure for Direct Second Year Admitted Students in (B.E.) – Electronics and Computer Science AY2021 -22 only
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER
SCIENCE), REV 2020 33

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 Modeling Languageser Guide”,
Pearson Education.
4. Sachin Malhotra, Saurabh Chaudhary “Programming in Java”, Oxford University Press, 2010

Software Tools:
1. Raptor -Flowchart Simulati on:http://raptor.martincarlisle.com/
2. Eclipse: https://eclipse.org/
3. Netbeans:https://netbeans.org/downloads/
4. CodeBloc k:http://www.codeblocks.org/
5. J-Edit/J -Editor/Blue J

Online Repository:
1. Google Drive
2. GitHub
3. Code Guru
Suggested list of Experiments



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

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UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER
SCIENCE), REV 2020 34

13 Implement Multiple Inheritance using interface
14 Create thread by implementing 'runnable' interface or creating 'Thread Class.
15 Demonstrate Hello World Applet Example





Term Work:

At least 8 experiments 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 experiments meaningful,
interesting and innovative. Term work assessment must be based on the overall performance of the student, with
experiments 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 te rm work assessment should be done.

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

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Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science
(Rev. 2020)




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 of self -learning and research.

Outcomes:
Learner will be able to…
1. Identify problems based on societal /research needs.
2. Apply Knowledge and skill to solve societal problems in a group.
3. Develop interpersonal skills to work as member of a group or leader.
4. Draw the proper inferences from available results through theoretical/ experimental/simulations.
5. 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. 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 hall submit implementation plan in the form of Gantt/PERT/CPM chart, which will cover weekly
activity of mini project.
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER SCIENCE),
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Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science
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UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER
SCIENCE), REV 2020 36

 A log book to be prepared by each group, wherein group can record weekly work progress, guide/supervisor
can verify and record notes/comments.
 Faculty supervisor may give inputs to students during mini project activity; however, focus shall be on self -
learning.
 Students in a group shall understand problem effectively, propose multiple solution and select best possible
solution in consultation 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 the self -learning, innovation, addressing societal prob lems 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 i n
semester III and IV. Similarly, Mini Project 2 in semesters V and VI.
 However, based on the individual students or group capability, with the mentor’s recommendations, if the
proposed Mini Project adhering to the qualitative aspects mentioned above gets completed in odd semester,
then that group can be allowed to work on the extension of the Mini Project with suitable
improvements/modifications or a completely new project idea in even semester. This policy can be adopted
on case by case basis.
 Students must take up a project spanning Semester 3 and Semester 4. It is expected that in Semester 3,
Literature Survey and Problem formulation is completed and a concise report of the same is submitted.
In Semester 4, Implementation of the project followed by report is expected.
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 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 consider following points for assessment based on either
one y ear or half year project as mentioned in general guidelines.

One-year project:
 In first semester entire theoretical solution shall be ready, including components/system selection and
cost analysis. Two reviews will be conducted based on presentation given by students group.
 First 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 review 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.

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Programme Structure for Bachelor of Engineering (B.E.) – Electronics and Computer Science
(Rev. 2020)
UNIVERSITY OF MUMBAI, B.E. (ELECTRONICS AND COMPUTER
SCIENCE), REV 2020 37

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 contin uous 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 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 for 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 preferably from industry or research organisations
having experience of more than five years approved by head of Institution.
 Students shall be motiva ted to publish a paper based on the work in Conferences/students competitions.

Mini Project shall be assessed based 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