Scheme and Syllabus - 2018-19
Scheme and Syllabus - 2018-19
Scheme and Syllabus - 2018-19
Detailed Distribution of Total 175 Credits across 1st Semester to 8th Semester
Credits
SL. Learning
1st 2nd 3rd 4th 5th 6th 7th 8th
No. Components Total
Sem Sem Sem Sem Sem Sem Sem Sem
Humanities and
1 - - 3 1 1 1 - 3 09
Social Science (HSS)
2 Basic Science (PCM) 9.5 9.5 3 3 - - - - 25
4 Professional Core - - 17 19 15 13 5 - 69
5 Professional Elective - - - - 6 3 6 6 21
6 Open Elective - - - - - 3 3 - 06
Project/
5++ 12++
7 Internship/Technical - - - - - 3* 23
2 +1
Seminar
8 Online Courses - - - - - - 1 - 01
* Mandatory subject, Question paper will be of Objective type. Students have to pass the subject
compulsorily, however marks will not be considered for awarding Grade/Class/Rank.
** Only for students who have studied Kannada at Primary level.
*** For students who have not studied Kannada at primary level.
SCHEME OF TEACHING AND EXAMINATION
B.E. II SEMESTER
ACADEMIC YEAR 2018-19
(BRANCHES E&C, EE, EI, CS & IS) CHEMISTRY GROUP
HOURS/WEEK EXAMINATION MARKS
SL. SUBJECT
SUBJECT CREDITS
NO. CODE L T P CIE SEE Total
Engineering
1 UMA261C 4.0 3 2 - 50 50 100
Mathematics -II
Engineering
2 UCH268C 4.0 3 2 - 50 50 100
Chemistry
Basic
3 UEC269C 3.0 2 2 - 50 50 100
Electronics
Engineering
4 UCV270C 3.0 2 2 - 50 50 100
Mechanics
Environmental
5 UBT233M - 2 - - 50 50 100
Studies*
Computer
Aided
6 UME271L 2.5 1 - 3 50 50 100
Engineering
Graphics
Engineering
7 UCH272L Chemistry 1.5 - - 3 50 50 100
Laboratory
Basic
8 UBE273L Engineering 2.0 - - 4 - - 100
Laboratory
English for
10 UHS243K - 2 - - - - -
Engineers
Total 20 15 08 10 350 350 800
* Mandatory subject, Question paper will be of Objective type. Students have to pass the
subject compulsorily, however marks will not be considered for awarding Grade/Class/Rank.
Basaveshwar Engineering College, Bagalkot
Department of Electronics & Communication Engineering
SCHEME OF TEACHING AND EXAMINATION FOR 2018-19 (REGULAR) and
2019-20 (LATERAL ENTRY) BATCH
*Bridge Course Mathematics – I and Environmental Studies are mandatory subjects only for
diploma students admitted to BE 3rd Semester through Lateral Entry scheme. Passing the subject
is compulsory, however marks will not be considered for awarding grade/class. PP/NP grade will
be awarded for passing/not passing the subject respectively.
B.E IV SEMESTER
*Bridge Course Mathematics – II is mandatory subject only for diploma students admitted to
BE 3rd Semester through Lateral Entry scheme. Passing the subject is compulsory, however
marks will not be considered for awarding grade/class. PP/NP grade will be awarded for
passing/not passing the subject respectively.
B.E V SEMESTER
Internship: For awarding B.E. (Electronics and Communication Engineering) degree, each
student has to complete minimum of 04 weeks or (02 weeks + 02 weeks) of Internship
between 4thand 6th semester to earn 02 credits which will be evaluated during 7th Semester.
Basaveshwar Engineering College, Bagalkot
Department of Electronics & Communication Engg
SCHEME OF TEACHING AND EXAMINATION FOR 2018-19 (REGULAR) and
2019-20 (LATERAL ENTRY) BATCH
B.E VI SEMESTER
Sl. SUBJECT SUBJECT CREDITS HOURS/ WEEK EXAMINATION MARKS
No. CODE L T P CIE SEE TOTAL
1 UEC641C Field Theory 3 2 2 0 50 50 100
2 UEC642C Computer 3 3 0 0 50 50 100
Networks
3 UEC643C CMOS Digital 3 3 0 0 50 50 100
VLSI Design
4 UHS003N Career Planning 1 2 0 0 50 50 100
and Professional
Skills
Elective-III
5 UEC644E Embedded System 3 3 0 0 50 50 100
UEC645E Operating Systems
UEC646E Digital
Verification
UEC647E Mobile
Communication
6 Open Elective 1* 3 3 0 0 50 50 100
Open Elective-1 subjects offered by the Electronics and Communication Engineering department
to other department students are
1) UEC634N: Modeling and Simulation of Engineering Systems, 2) UEC635N: Image Processing
Note: Online course: (NPTEL / SWAYAM / COURSERA)
1. The course should be of minimum 04 weeks duration to earn 01 credit.
2. The Students has to qualify in MOOCs recommended course of total 01 credits during
III/IV/V/VI/VII semester and to be evaluated in VII Semester
Internship: For awarding B.E. (Electronics and Communication Engineering) degree, each
student has to complete minimum of 04 weeks or (02 weeks + 02 weeks) of Internship
between 4thand 6th semester to earn 02 credits which will be evaluated during 7th Semester.
Basaveshwar Engineering College, Bagalkot
Department of Electronics & Communication Engineering
SCHEME OF TEACHING AND EXAMINATION FOR 2018-19 (REGULAR) and
2019-20 (LATERAL ENTRY) BATCH
B.E VII SEMESTER
Sl. SUBJECT SUBJECT CREDITS HOURS/ WEEK EXAMINATION
No. CODE MARKS
L T P CIE SEE TOTAL
1 UEC741C Microwaves and 3 3 0 0 50 50 100
Antennas
2 UEC742I Internship 2 0 0 4 50 50 100
Elective-IV
3 UEC743E Information Theory 3 3 0 0 50 50 100
and Coding
UEC744E Multimedia
Communication
UEC745E Soft Computing
Elective-V
4 UEC746E Digital Signal 3 3 0 0 50 50 100
Processing with
FPGA
UEC747E Wireless Networks 50 50 100
UEC748E Industrial 50 50 100
Automation
5 Open Elective 2* 3 3 0 0 50 50 100
m. Analyze and design systems for Electronics, Communication, and Signal Processing
applications.
n. Use domain specific tools for design, analysis, synthesis, and Validation of VLSI and
embedded systems.
o. Demonstrate the conceptual knowledge with respect to architecture, design analysis and
simulation of computer networking and applications.
I/II Semester
Basic Electronics
UEC169C/269C
Course Title: Basic Electronics Course Code: UEC169C/269C
Credits: 03 L-T-P:2-2-0 Contact Hours / Week: 04 Total Teaching Hours: 30L+26T
CIE Marks: 50 SEE Marks: 50 Total Marks: 100
Department: Electronics and Communication Engineering.
Designation: Core
Course Objectives:
1. To understand the diode applications and transistor characteristics
2. To learn the biasing concepts and applications of transistor (amplifier and oscillator)
3. To impart the knowledge of number system, Boolean algebra and basic digital circuits
4. To provide the knowledge on communication system and modulation techniques
Course Outcomes:
A student who successfully completes this course should be able to
1. Analyze and design diode circuits, configure transistor circuits
2. Distinguish transistor biasing methods and design oscillators
3. Do number system conversions, and implement basic logic circuits
4. Comprehend the necessity of communication systems and need for modulation
The topics that enable to meet the above objectives and course outcomes are given below
Unit I (07 hrs)
Scope and Applications of Electronics, Communication and Instrumentation Engineering.
Diode Applications: Half Wave Rectification, Full Wave Rectification, Rectifier with Shunt
Capacitor (qualitative analysis), Zener Diode Voltage Regulator, DC Voltage Multipliers, Diode
logic Gates. Bipolar Junction Transistors: Transistor operation, Transistor Voltages and Currents,
Common-Base Characteristics, Common-Emitter Characteristics and Common-Collector
Characteristics.
Unit II (08hrs)
BJT Biasing and Applications: The DC Load Line and Bias Point, Base Bias, Collector to Base
Bias, Voltage Divider Bias, Comparison of Basic Bias Circuits. Amplifier: Decibels and half
power points, Single-Stage CE Amplifier. Oscillators: Concept of Feedback, Positive and
Negative Feedback, Barkhausen criterion, BJT RC Phase Shift Oscillator, Hartley Oscillator,
Colpitt’s Oscillator and Crystal (qualitative analysis) Oscillator.
Textbooks:
1) David A. Bell, “Electronic Devices and Circuits”, 4th edition, PHI, 2006
2) George Kennedy, “Electronic Communication Systems”, 4th edition. TMH, 2005
Reference Books:
1) Floyd and Jan, “Digital fundamentals”, 8th edition, Pearson, 2006
2) Jacob Milliman, Christos C. Halkies, “Electronics Devices and Circuits”, TMH, 2001
3) A.P. Malvino, “Electronic Principles”, TMH, 2003
m) Analyze and design systems for electronics, Communication, and Signal Processing
Applications.
Course Articulation Matrix
POs PSOs
Course Outcomes
a b c d e f g h i j k l m n O
CO1: Analyze and design diode circuits, 3 2 1 0 1 0 0 0 0 0 0 1 3 0 0
configure transistor circuits
CO2: Distinguish transistor biasing methods 3 2 1 0 1 0 0 0 0 0 0 1 3 0 0
and design oscillators.
CO3: Do number system conversions, and 3 2 1 0 1 0 0 0 0 0 0 1 2 0 0
implement basic logic circuits.
CO4: Comprehend the necessity of 3 2 1 0 0 1 0 0 0 0 0 1 3 0 0
communication systems and need for
modulation.
3 2 1 0 0.75 0.25 0 0 0 0 0 1 2.75 0 0
Course Contribution to POs and PSOs
III Semester
Course Title: Computational Methods for Electrical science Course Code: UMA335C
Credits: 03 Teaching Hours:40 Hrs Contact Hours: 3Hrs/Week
CIE Marks: 50 SEE Marks: 50 Total Marks: 100
Department: Electronics and Communication Engg.
Course Objectives:
1. To enable the students to apply the knowledge of Mathematics in various engineering fields by
making them.
2. To understand the numerical method of solving algebraic, transcendental equations.
3. To determine the approximate value of the derivative & definite integral for a given data using
numerical techniques.
4. Able to expand the given periodic function defined in the range in terms of sine and cosine
multiple of terms as a Fourier series.
Course Outcomes:
A student who successfully completes this course should be able to
1. To know how root finding techniques can be used to solve practical engineering problems.
2. To apply the concept of finding approximate value of the derivative & definite integral for a
given data using numerical techniques.
3. To apply numerical techniques to solve the first order first degree ordinary differential
equations.
4. To apply the analytical technique to express periodic function as a Fourier sine and cosine
series.
5. To apply the concept of Fourier transform and Z- transform, to study the performance of
electrical systems.
The topics that enable to meet the above objectives and course outcomes are given below.
m) Analyze and design systems for electronics, Communication, and Signal Processing
Applications.
Course Articulation Matrix
POs PSOs
Course Outcomes
a b c d e f g h i j k l m n o
CO 1: To know how root finding 3 2 2 0 0 0 0 0 0 0 0 0 3 0 0
techniques can be used to solve practical
engineering problems.
CO2: To apply the concept of finding 3 2 2 0 0 0 0 0 0 0 0 0 3 0 0
approximate value of the derivative &
definite integral for a given data using
numerical techniques.
CO3: To apply numerical techniques to 3 2 2 0 0 0 0 0 0 0 0 0 3 0 0
solve the first order first degree ordinary
differential equations.
CO4: To apply the analytical technique to 3 2 2 0 0 0 0 0 0 0 0 0 3 0 0
express periodic function as a Fourier sine
and cosine series.
CO5: To apply the concept of Fourier 3 2 2 0 0 0 0 0 0 0 0 0 3 0 0
transform and Z- transform, to study the
performance of electrical systems.
Course Contribution to POs 3 2 2 0 0 0 0 0 0 0 0 0 3 0 0
Course Title: Electronics Devices and Circuits Course Code: UEC341C
Credits: 3 (3-0-0) Teaching Hours: 40 Hrs Contact Hours: 3 Hrs/Week
CIE Marks: 50 SEE Marks: 50 Total Marks: 100
Department : Electronics and Communication Engg.
Designation : Core
Course Objectives:
1) To provide the knowledge about construction, operation and characteristics of JFET, MOSFET,
Thyristors and design of clipper and clamper circuits.
2) To study the construction, operation and characteristics, application of optoelectronic and other
two-terminal devices.
3) To study multistage, negative feedback, and power amplifiers.
4) To study power electronic circuits such as controlled rectifiers, DC choppers and inverters.
Course Outcomes:
A student who successfully completes this course should be able to
1. Design clipper, clamper and amplifier circuits.
2. Differentiate the characteristics and their importance of different optoelectronic and other two-
terminal devices.
3. Analyze multistage amplifier circuits, amplifier with negative feedback and power amplifiers.
4. Analyze power electronic circuits such as controlled rectifiers, DC choppers and inverters.
The topics that enable to meet the above objectives and course outcomes are given below
Reference Book:
1) M. D. Singh, K. B. Khanchandani, "Power Electronics", McGraw Hill Publication 2nd Edition
2007.
(b) Problem analysis: Identify, formulate, review research literature, and analyze complex
engineering problems reaching substantiated conclusions using first principles of mathematics,
natural sciences, and engineering sciences.
(c) Design/development of solutions: Design solutions for complex engineering problems and
design system components or processes that meet the specified needs with appropriate
consideration for the public health and safety, and the cultural, societal, and environmental
considerate
(f) The engineer and society: Apply reasoning informed by the contextual knowledge to assess
societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to
the professional engineering practice.
(g) Environment and sustainability: Understand the impact of the professional engineering
solutions in societal and environmental contexts, and demonstrate the knowledge of, and need
for sustainable development.
(m) Analyse and design systems for electronics, Communication, and Signal Processing
Applications.
(n) Use domain specific tools for design, analysis, synthesis, and Validation of VLSI and
embedded systems.
Reference Books:
1) Thomas L. Floyd, “Digital Fundamentals”, 9th edition , PHI
2) Charles H Koth, Jr, “Fundamentals of Logic Design”, Thomson learning, 2004
3) Meno and Kim, “Logic and Computer Design Fundamentals”, Pearson, 2nd edition, 2001
4) Malvino and Leech, “Digital Principles & Applications”, 2nd edition PHI
Reference Books:
1) Hayt, Kemmerly and Durbin, “Engineering Circuit Analysis”, 6th Edition, TMH, 2006
2) M.E. Van Valkenberg “Network analysis”, Prentice Hall of India, 3rd Edition, 2000
(m) Analyze and design systems for Electronics, Communication, and Signal Processing
applications.
Course Articulation Matrix:
POs PSOs
Course Outcomes
a b c d e f g h i j k l m n o
CO1: Simplify networks using source
transformation, star-delta conversion and can
3 2 1 2 1 1 0 0 0 0 0 0 3 0 0
be able to apply KVL, KCL, nodal and mesh
analysis to AC and DC networks.
CO2: Apply network theorems and topology
3 3 1 2 1 1 0 0 0 0 0 0 3 0 0
for complex networks to find response.
CO3: Analyze series and parallel resonant
circuits and able to find different network 3 3 1 2 1 1 0 0 0 0 0 0 3 0 0
parameters.
CO4: Apply concept of Laplace
transformation to networks and waveforms,
3 2 1 2 1 1 0 0 0 0 0 0 3 0 0
able to design attenuators and simple
equalizers.
Course Contribution to POs 3.0 2.5 1.0 2 1 1 0 0 0 0 0 0 3 0 0
Course Title: Human Resource Management Course Code: UEC344C
Credits: 03 L-T-P:3-0-0 Contact Hours/ Week:3 Total Teaching Hours:40
CIE Marks: 50 SEE Marks: 50 Total Marks: 100
Department: Electronics and Communication Engineering.
Designation: Core
Course Objectives:
1. The purpose of introductory is to emphasis the strategic role of HRM in managing an
organization.
2. The HRM tries to clear the fog surrounding the recruitment process and to expose the
students to various steps involved in selection process.
3. The purpose of career management is to enable the clear view of the process of human
resource planning, as it is currently practiced in most organization.
4. The purpose of IHRM is to bring out the importance of designing an effective
compensation plan that takes care of legal stipulations, industry practices, employee
expectations, competitive pressure etc. for expatriate.
Course Outcomes:
A student who successfully completes this course should be able to:
1. Comprehend and demonstrate the basic knowledge of HRM concepts.
2. Know and demonstrate the application knowledge of different HRM concepts.
3. Analyze and evaluate various HRM related practical issues.
4. Plan and design HRM strategies for various HRM situations.
The topics that enable to meet the above objectives and course outcomes are given below
m) Analyze and design systems for Electronics, Communication, and Signal Processing
applications.
Course Articulation Matrix
Reference Books
1) A M Tenenbaum, ‘’ Data Structures using C’’, PHI, 1989
2) Robert Kruse, ‘’ Data Structures and Program Design in C’’, PHI, 2nd edition, 1996
(m) Analyze and design systems for Data Structure Using C and Applications.
(o) Demonstrate the conceptual knowledge with respect to architecture, design analysis and
simulation of computer networking and applications.
Course Articulation Matrix:
POs PSOs
Course Outcomes
a b c d e f g H i j K L m n O
CO1: Demonstrate the concepts
of a) various types of data
structures, operations and 3 3 0 0 0 2 1 0 0 0 0 1 2 0 2
algorithms. b) Sorting and
searching operations.
CO2: Analyze the performance
of stack, queue, lists, trees, and 3 2 0 0 0 1 1 0 0 0 0 2 2 0 2
searching and sorting techniques.
CO3: Write the C programs for
all the applications of data 3 3 0 0 0 1 1 0 0 0 0 3 2 0 2
structures.
CO4: To solve real world
problems by applying data 3 2 0 0 0 1 2 0 0 0 0 3 2 0 2
structure concepts.
Course Contribution to POs 3 2.50 0 0 0 1.25 1.25 0 0 0 0 2.25 2 0 2
Course Title: Electronics Devices and Circuits Lab Course Code: UEC346L
Credits: 1.5 (0-0-3) Total Lab Hours: 40 Hrs Contact Hours: 3 Hrs/Week
CIE Marks: 50 SEE Marks: 50 Total Marks: 100
Department : Electronics and Communication Engg.
Designation : Core
Course Objectives:
The objectives of Electronic Devices and Circuits Laboratory are
1) To study the V-I characteristics and working of commonly used electronic devices and their
characterization.
2) To understand the working of rectifiers (controlled and uncontrolled), voltage regulators,
amplifiers and oscillators.
3) Analysis of applications such as rectifiers, controlled rectifiers, voltage regulators, and design of
amplifiers, oscillators.
4) To understand electronic devices and circuits simulation tools.
Course Outcomes:
After completion of Electronic Devices and Circuits Laboratory the students are able to
1) Characterize semiconductor devices based on their characteristics.
2) Realize rectifiers, controlled rectifiers and regulators.
3) Design amplifiers and oscillators for given specifications.
4) Simulate and analyze basic electronic circuits.
The Experiments that enable to meet the above objectives and course outcomes are given below
m) Analyze and design systems for electronics, Communication, and Signal Processing
Applications.
Course Articulation Matrix
POs PSOs
Course Outcomes
a b c d e f g h I j k l m n o
CO1: Characterize
semiconductor devices based 3 2 1 1 2 2 1 2 2 2 2 2 3 0 0
on their characteristics
CO2: Realize rectifiers,
controlled rectifiers and 3 2 2 2 3 2 2 3 2 2 2 1 3 0 0
regulators
CO3: Design amplifiers and
oscillators for given 3 2 2 2 2 3 2 3 2 3 2 3 3 0 0
specifications
CO4: Simulate and analyze
3 2 2 1 3 1 2 3 1 2 1 3 3 0 0
basic electronic circuits
Course Contribution to
3 2 1.75 1.5 2.5 2 1.75 2.75 1.75 2.25 1.75 2.25 3 0 0
POs
Course Title: : Digital Electronics Lab Course Code: UEC347L
Credits: 1.5 (0-0-3) Total Lab Hours: 40 Hrs Contact Hours: 3 Hrs/Week
CIE Marks: 50 SEE Marks: 50 Total Marks: 100
Department : Electronics and Communication Engineering.
Designation : Core
Course Objectives:
1. To design combinational circuits and implement the same using a) basic logic gates b) universal
gates, c) multiplexers and d) decoder and gates
2. To design and realize latches and flip flops
3. To design and implement asynchronous counters
4. To design and implement synchronous counters and shift registers
5. To simulate combinational and sequential circuits using PROTEUS software
Course Outcomes:
1. Should be able to design combinational circuits and implement it using a) basic logic
Gates b) universal gates, c) multiplexers and d) decoder and gates
2. Should be able to design and realize latches and flip flops
3. Should be able to design and implement asynchronous counters
4. Should be able to design and implement synchronous counters and shift registers
5. Should be able to simulate combinational and sequential circuit using PROTEUS software
The Experiments that enable to meet the above objectives and course outcomes are given below
(m) Analyze and design systems for electronics, Communication, and Signal Processing
Applications.
(n) Use domain specific tools for design, analysis, synthesis, and Validation of VLSI and
embedded systems
Course Articulation Matrix
POs PSOs
Course outcomes
a b c d e f g h i j K l m n o
CO1: Should be able to design 3 2 2 0 0 0 0 0 1 1 0 0 2 3 0
combinational circuits and
implement it using a) basic
logic Gates b) universal gates,
c) multiplexers and d) decoder
and gates.
CO 2: Should be able to realize 2 2 3 0 0 0 0 0 1 1 0 0 2 3 0
latches and flip flops
CO 3: Should be able to design 1 2 3 0 0 0 0 0 1 1 0 0 2 3 0
and implement asynchronous
counters
CO 4: Should be able to design 2 2 3 0 0 0 0 0 1 1 0 0 2 3 0
and implement synchronous
counters and shift registers
Course Contribution to POs 2 2 2.75 0 0 0 0 0 1 1 0 0 2 3 0
Course Title: Bridge Course Mathematics - I Course Code: UMA330M
Credits: Teaching Hours:40 Hrs Contact Hours: 3Hrs/Week
Mandatory
CIE Marks: 50 SEE Marks: 50 Total Marks: 100
Department: Electronics and Communication Engg.
Course Objectives:
This course will enable students to master the basic tools of calculus and vectors to become skilled
for solving problems in science and engineering.
Course Outcomes:
A student who successfully completes this course should be able to
1. Apply the knowledge of calculus to solve problems related to polar curves and its
applications in determining the bentness of a curve.
2. Learn the notion of partial differentiation to calculate rates of change of multivariate
functions and solve problems related to composite functions and Jacobians.
3. Apply the concept of multiple integrals and their usage in computing the area and
volumes.
4. Apply the knowledge of vector calculus to solve the engineering problems
The topics that enable to meet the above objectives and course outcomes are given below
Differential Calculus: Review of elementary calculus, Polar curves - angle between the radius
vector and tangent, angle between two curves, pedal equation. Taylor’s and Maclaurin’s series
expansions for one variable (statements only) without proof. Problems
Partial differentiation: Introduction to function of several variables, Partial derivatives; Euler’s
theorem - problems. Total derivatives-differentiation of composite functions. Jacobians-problems
(15 hours)
Integral Calculus: Evaluation of double and triple integrals. Area bounded by the curve. Beta and
Gamma functions: Definitions, Relation between beta and gamma functions-problems.
(15 hours)
Vector Calculus: Vector Differentiation: Scalar and vector fields. Gradient, directional derivative;
curl and divergence-physical interpretation; solenoidal and irrotational vector fields- problems (10
hours)
Textbooks:
1. B.S. Grewal: Higher Engineering Mathematics, Khanna Publishers, 43rd Ed., 2015.
2. E. Kreyszig: Advanced Engineering Mathematics, John Wiley & Sons, 10th Ed. (Reprint),
2016.
Reference Books:
1. Thomas' Calculus: Early Transcendentals, Single Variable (13th Edition)
2. Calculus: Early Transcendentals James Stewart
3. C. Ray Wylie, Louis C.Barrett : “Advanced Engineering Mathematics", 6th Edition,
McGraw-Hill Book Co., New York, 1995.
4. B.V. Ramana: "Higher Engineering Mathematics" 11th Edition, Tata McGraw-Hill, 2010.
5. Veerarajan T.,” Engineering Mathematics for First year", Tata McGraw-Hill, 2008.
6. N.P.Bali and Manish Goyal: A Text Book of Engineering Mathematics, Laxmi Publishers,
7th Ed., 2010.
(m) Analyze and design systems for electronics, Communication, and Signal Processing
Applications.
POs PSOs
Course Outcomes
a b c d e f g h i j k l m n o
CO1: Apply the knowledge of 3 2 2 0 0 0 0 0 0 0 0 0 3 0 0
calculus to solve problems related to
polar curves and its applications in
determining the bentness of a curve.
CO2: Learn the notion of partial 3 2 2 0 0 0 0 0 0 0 0 0 3 0 0
differentiation to calculate rates of
change of multivariate functions and
solve problems related to composite
functions and Jacobians.
CO3: Apply the concept of multiple 3 2 2 0 0 0 0 0 0 0 0 0 3 0 0
integrals and their usage in
computing the area and volumes.
CO4: Apply the knowledge of 3 2 2 0 0 0 0 0 0 0 0 0 3 0 0
vector calculus to solve the
engineering problems
Course Contribution to POs 3 2 2 0 0 0 0 0 0 0 0 0 3 0 0
Environmental pollution: Water pollution: water quality standards, water borne diseases, fluoride problem;
air pollution, noise pollution; effect of electromagnetic waves.
Sustainable future : Concept of sustainable development, threats to sustainability, over exploitation of
resources, strategies for sustainable development. Environment education, conservation of resources.
Environment economics – concept of green building, clean development mechanism (CDM), carbon
crediting.
Current environmental issues of concern: Population growth, greenhouse effect-greenhouse gases and
global warming, climate change, ozone layer depletion, acid rain & eutrophication.
Environmental policy legislation rules & regulations: National environmental policy, environment
protection act, legal aspects of air & water act. Functions of government agencies.
m. Analyze and design systems for Electronics, Communication, and Signal Processing
applications.
n. Use domain specific tools for design, analysis, synthesis, and Validation of VLSI and
embedded systems.
o. Demonstrate the conceptual knowledge with respect to architecture, design analysis and
simulation of computer networking and applications.
Course Articulation Matrix
(m) Analyze and design systems for electronics, Communication, and Signal Processing
Applications.
POs PSOs
Course Outcomes
a b c d e f g h i j k l m n o
CO1: To apply the least square sense 3 2 2 0 0 0 0 0 0 0 0 0 3 0 0
method to construct the specific relation for
the given group of data.
CO2: To apply the concept of probability to 3 2 2 0 0 0 0 0 0 0 0 0 3 0 0
find the physical significance of various
distribution phenomena.
CO3: To apply the concept of probability to 3 2 2 0 0 0 0 0 0 0 0 0 3 0 0
perform engineering duties in planning and
designing, engines, machines and other
mechanically functioning.
CO4: To apply the concept of probability to 3 2 2 0 0 0 0 0 0 0 0 0 3 0 0
study the performance of Mechanical
systems.
CO5: To apply the concept of Markov 3 2 2 0 0 0 0 0 0 0 0 0 3 0 0
Chain for commercial and industry purpose.
Course Contribution to POs 3 2 2 0 0 0 0 0 0 0 0 0 3 0 0
Course Title: Signals and Systems Course Code: UEC441C
Credits: 4 Teaching Hours: 40 Contact Hours: 5 Hrs/Week
L-T-P: 3-2-0 Tutorial Hours: 25
CIE Marks: 50 SEE Marks: 50 Total Marks: 100
Department : Electronics and Communication Engg.
Designation : Core
Course Objectives:
1. To understand the representations and methods necessary for the analysis of continuous-time (CT)
and discrete-time (DT) signals and systems.
2. To provide knowledge of time-domain analysis of CT and DT systems using convolution.
3. To impart knowledge of frequency-domain representation and analysis concepts using Fourier
analysis tools.
4. Concept of z-transform and its applications in analysis of discrete-time signals and systems.
Course Outcomes:
A student who successfully completes this course should be able to
1. Represent, characterize, and analyze CT and DT signals and systems.
2. Analyze CT and DT systems in time domain using convolution.
3. Analyze CT and DT systems in the frequency domain, using Fourier analysis tools like CTFT and
DTFT.
4. Apply z-transform and its properties in the analysis of discrete-time signals and systems.
The topics that enable to meet the above objectives and course outcomes are given below
(b) Problem analysis: Identify, formulate, review research literature, and analyze complex
engineering problems reaching substantiated conclusions using first principles of mathematics,
natural sciences, and engineering sciences.
(c) Design/development of solutions: Design solutions for complex engineering problems and
design system components or processes that meet the specified needs with appropriate
consideration for the public health and safety, and the cultural, societal, and environmental
considerations
(m) Analyze and design systems for electronics, Communication, and Signal Processing
Applications.
POs PSOs
Course Outcomes
a b c d e f g h i j k l m n o
CO 1: Represent, characterize, and 3 2 1 0 0 0 0 0 0 0 0 0 3 0 0
analyze CT and DT signals and
systems.
CO2 : Analyze CT and DT systems 3 3 1 0 0 0 0 0 0 0 0 0 3 0 0
in time domain using convolution.
CO3 : Analyze CT and DT systems 3 3 1 0 0 0 0 0 0 0 0 0 3 0 0
in the frequency domain, using
Fourier analysis tools like CTFT
and DTFT.
CO4 : Apply z-transform and its 3 2 1 0 0 0 0 0 0 0 0 0 3 0 0
properties in the analysis of
discrete-time signals and systems.
Course Contribution to POs 3.00 2.5 1.00 0 0 0 0 0 0 0 0 0 3 0 0
Course Title: Linear Integrated Circuits and Applications Course Code: UEC442C
Credits: 03 Teaching Hours: 40 Contact Hours: 3 Hrs/Week
L-T-P: 3-0-0
CIE Marks: 50 SEE Marks: 50 Total Marks: 100
Department : Electronics and Communication Engg.
Designation : Core
Course Objectives:
1. To introduce the basic building blocks of operational amplifier (µA-741) and infer the DC and AC
analysis of op-amp
2. To provide basic foundation of feedback concept, different configurations, and characteristics of
op-amp
3. To introduce basic applications of op amp
4. Classify and comprehend the working principle of various waveform generators, comparators, data
converters and timers
Course Outcomes:
A student who successfully completes this course should be able to
1. Identify and analyze the different configurations of differential amplifier
2. Analyze the different feedback amplifiers and various parameters of practical op-amp
3. Design of the op amp circuits to performs mathematical operations and active filters
4. Analyze different waveform generators, comparators, data converters and timers
The topics that enable to meet the above objectives and course outcomes are given below
Textbook:
1. Ramakanth A Gayakwad, “Operational Amplifiers and Linear Integrated Circuits”, 4th Edition,
PHI.
Reference Books:
1. Ramakanth A Gayakwad, “Operational Amplifiers and Linear Integrated Circuits”, 3rd Edition,
PHI.
2. James M. Fiore, “Op-amps and Linear Integrated Circuits: Concepts and Applications”,
CENGAGE Learning 2009.
3. D. Roy Choudary, “Linear Integrated Circuits”, 2nd Edition.
(m) Analyze and design systems for Electronics, Communication, and Signal Processing
Applications.
(n) Use domain specific tools for design, analysis, synthesis, and validation of VLSI and
embedded systems.
POs PSOs
Course Outcomes
a b C d e F g h i j k l m n o
CO1: Identify and analyze 3 2 1 1 0 0 0 0 0 0 0 0 3 1 0
the different configurations
of differential amplifier.
Programming peripherals in assembly: Timer and counter programming. Serial Port Programming: Basics
of serial communication, 8051 connection to RS232, 8051 serial port programming. Interrupts: 8051
interrupts, Programming timer interrupts.
Programming external hardware interrupts and serial communication interrupts. Interfacing: Introduction,
need for interfacing, interfacing the following devices using assembly -LCD module, ADC808/DAC808,
key-pad, stepper motor. Interfacing with the 8255: Programming the 8255, Interfacing the 8255.
Text books:
1. Kenneth J. Ayala, “The 8051 Micro controller Architecture, Programming & Applications”,
Penram International, Second Edition, 1996.
2. Muhammad Ali Mazidi, Janice Gillispie Mazidi, “The 8051 Micro controller and Embedded
Systems”, Pearsons Education, Second Edition, 2011.
Reference Books:
1. Craig Steiner, “The 8051/8052 Microcontroller: architecture, assembly language, and Hardware
interfacing”, WP Publishers and Distributors, 2006.
2. David Calcutt, Fred cwon, “8051 microcontroller”, Elsevier, First Edition, 2004.
3. Dr.Uma Rao and Dr.Andhe Pallavi, “The 8051 microcontroller architecture, programming and
applications”, Pearson Education,2010
n) Design, analysis, synthesis, and validation of VLSI and embedded systems using domain
specific tools.
POs PSOs
Course Outcomes
a b c d e f g h i j k l m n o
CO1: Comprehend the 3 2 1 1 1 1 1 3 1 1 0 0 0 3 0
architecture of 8051
microcontroller.
CO 2: Write programs in 3 2 2 1 1 2 1 3 2 1 1 1 0 3 0
assembly language for 8051
to explore its capabilities.
CO 3: Program inbuilt 3 2 3 2 2 3 2 3 3 3 3 2 0 3 0
peripheral like timer/counter,
serial and interrupt peripheral
in assembly language.
CO 4: Interface devices like 3 2 2 2 3 2 2 3 2 2 2 2 0 3 0
LCD, Keypad, DAC, ADC,
Stepper motor and PPI 8255
for different applications
using assembly language.
Course Contribution to 3 2 2 1.5 1.75 2 1.5 3 2 1.75 1.5 1.25 0 3 0
POs
Course Title: Electronic Circuits Design Course Code: UEC444C
Credits: 03 Teaching Hours: 40 Contact Hours: 3 Hrs/Week
L-T-P: 3-0-0
CIE Marks: 50 SEE Marks: 50 Total Marks: 100
Department : Electronics and Communication Engineering.
Designation : Core
Course Objectives:
1. To understand different BJT biasing techniques and transistor amplifying action.
2. To know different FET biasing techniques
3. To explore FET biasing techniques with respect to small signal amplification
4. To know in detail about power supplies and voltage regulators.
Course Outcomes:
A student who successfully completes this course should be able to
1. Design BJT amplifier using different biasing methods
2. Design and analyze different FET biasing methods used in amplifier
3. Analyze FET amplifier of different configurations
4. Design discrete and IC based regulated power supply
The topics that enable to meet the above objectives and course outcomes are given below
POs PSOs
Course Outcomes
a b c d e f g h i j k l m n o
CO1: Design BJT amplifier using 3 2 2 2 2 2 1 2 2 2 2 2 3 0 0
different biasing methods
CO2: Design and analyze different 3 2 2 2 2 2 1 2 2 2 2 2 3 0 0
FET biasing methods used in
amplifier
CO3: Analyze FET amplifier of 3 3 2 2 2 2 1 2 2 2 2 2 3 0 0
different configurations
CO4: Design discrete and IC based 3 2 3 3 2 2 1 2 2 2 2 2 3 0 0
regulated power supply
Course Contribution to POs 3 2.25 2.25 2.25 2 2 2 2 2 2 2 2 3 0 0
Course Title: Analog Communication Course Code: UEC445C
Credits: 3 (3-0-0) Teaching Hours: 40 Hrs Contact Hours: 3 Hrs/Week
(10 Hrs/Unit)
CIE Marks: 50 SEE Marks: 50 Total Marks: 100
Department : Electronics and Communication Engg.
Designation : Core
Course Objectives:
The objective of the course is to introduce the students
1. Concept of communication, amplitude modulation/demodulation in both time and frequency
domains
2. Concept of frequency modulation/demodulation in both time and frequency domains
3. Basics of probability, random variables and random processes
4. Different types of noise and predict its effect on various an
alog communication systems
Course Outcomes:
A student who successfully completes this course should be able to
1. Explain amplitude modulation and demodulation techniques in communication systems
2. Explain angle modulation and demodulation techniques in communication systems
3. Apply the basics of probability to random variables and random processes for communication
systems
4. Describe different types of noise and predict its effect on various analog communication systems
The topics that enable to meet the above objectives and course outcomes are given below:
Reference Books
1) B. P. Lathi “Modern Digital and Analog Communication Systems”, 3rd Edition, Oxford
University, 2006
2) George Kennedy “Electronic Communication Systems”, 3rd Edition, Tata Mc Graw-Hill
Publication, 1984
3) B. P. Lathi “Communication Systems”, 3rd Edition, B. S. Publications, 2009
4) Simon Haykin “Communication Systems”, 3rd Edition, John Wiley and Sons, 2005
m. Analyse and design systems for electronics, Communication, and Signal Processing
Applications.
Course Articulation Matrix
Part-A
Basic 8051 assembly language programs on the trainer kit using in built assembler
Programs using in-built peripherals like timers/counters, interrupts and serial port using assembly
programming in keil cross-compiler
• Input/output port programming.
• Generation of waveform of different duty cycle using internal timers.
• Counting external events using in-built counters.
• Serial transfer/receive of a message at different baud rate, 8-bit data, 1-stop bit and 1-start bit.
• Programs on internal/external interrupts.
Part-C
Developing interfacing Embedded ‘C’ programs in keil cross-compiler, fusing machine code on
flash board/Circuit simulation Software
• Logic controller
• Stepper motor
• LCD
• Keypad
• Digital to Analog Conversion (DAC)
• Seven Segment Display (SSD)
n) Design, analysis, synthesis, and validation of VLSI and embedded systems using domain
specific tools.
(m) Analyze and design systems for electronics, Communication, and Signal Processing
Applications.
Course Articulation Matrix
POs PSOs
Course Outcomes
a b c d e f g h i j k l m n o
CO1: Explain various physical models through 3 2 2 0 0 0 0 0 0 0 0 0 3 0 0
first and higher order differential equations and
solve such linear ordinary differential equations.
CO2: Apply the Laplace transform techniques to 3 2 2 0 0 0 0 0 0 0 0 0 3 0 0
solve differential equations.
CO3: Understand a variety of partial differential 3 2 2 0 0 0 0 0 0 0 0 0 3 0 0
equations and solution by exact methods.
CO4 : solve PDE by direct integration and 3 2 2 0 0 0 0 0 0 0 0 0 3 0 0
Solution of Lagrange’s linear PDE, method of
separation of variables
(a) Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals,
and an engineering specialization to the solution of complex engineering problems.
(b) Problem analysis: Identify, formulate, review research literature, and analyze complex engineering
problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and
engineering sciences.
(c) Design/development of solutions: Design solutions for complex engineering problems and design
system components or processes that meet the specified needs with appropriate consideration for the
public health and safety, and the cultural, societal, and environmental considerations.
(e) Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern
engineering and IT tools including prediction and modeling to complex engineering activities with an
understanding of the limitations
Unit II
(10hours)
Introduction to Verilog cont.: Loops in Verilog, Testing a Verilog Model.
Design Examples: Introduction, BCD to 7-Segment Display Decoder, A BCD Adder, 32-Bit Adders,
Traffic Light Controller, State Graphs for Control Circuits, Scoreboard and Controller, Synchronization
and De-bouncing, A Shift-and-Add Multiplier, Array Multiplier, A Signed Integer/Fraction Multiplier,
Keypad Scanner, Binary Dividers.
Reference Books:
1) Charles Roth, Lizy Kurian John, and ByeongKil Lee "Digital Systems Design Using Verilog"
Cengage Learning, 2016
2) ZainalabedinNavabi "Verilog Digital System Design" Second Edition, Mcgraw Higher Ed,2008
3) Palnitkar, Samir. “Verilog HDL: a guide to digital design and synthesis” Vol. 1. Prentice Hall
Professional,2003.
4) Sagdeo, Vivek. “The complete Verilog book”. Springer Science & Business Media,2007.
5) Smith, Douglas J., and Alex Foreword By-Zamfirescu. “HDL Chip Design: A practical guide for
designing, synthesizing and simulating ASICs and FPGAs using VHDL or Verilog” Doone
Publications,1998.
6) Bhasker, Jayaram. “A Verilog HDL Primer”. Star Galaxy Publishing,1999.
e) Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern
engineering and IT tools including prediction and modeling to complex engineering activities with
an understanding of the limitations.
n) Use domain specific tools for design, analysis, synthesis, and Validation of VLSI and
embedded systems.
Course Articulation Matrix
Reference Books:
1) Nagrath and Gopal, “Control System Engineering”, New Age publication.
2) K. Ogeta, “Modern control engineering”, Person education, Asia/PHI 4thedition, 2002.
3) Benjamin C.Kuo, “Automatic Control Systems”, PHI 7thedition.
4) Richard C. Dorf and Robert. H. Bishop, “Modern Control Systems”, Person Education, 8th
Edition, 2002.
5) M. Gopal, “Control Systems-Principles and Design”, TMH, 2nd Edition, 2002.
6) David. K. Chng, “Analysis of Linear systems”, Narosa publishing house, 1996.
m. Analyze and design systems for Electronics, Communication, and Signal Processing
applications.
n. Use domain specific tools for design, analysis, synthesis, and Validation of VLSI and
embedded systems.
Course Articulation Matrix
POs PSOs
Course Outcomes
a b c d e f g h i J k l m n o
CO1: The concept of 3 3 3 0 0 0 1 0 0 0 1 0 3 2 0
feedback and physical
modeling of systems like
electrical, mechanical and
electromechanical control
systems.
CO2: Time domain analysis 3 3 1 0 0 0 2 0 0 0 0 0 3 0 0
of a control system.
Textbooks:
1) Robert Lafore, “Object Oriented Programming in C++”, SAMS, 4th Edition
2) E Balagurusamy, “Object Oriented Programming with C++”, Mc. Graw Hill , 6th Edition
Reference Book:
1) Stanler B. Lippon, “C++ Primer”, Pearson, 4th Edition
m. The ability to understand, analyse and demonstrate the knowledge of human cognition,
Class,Objects and Inheritence ,overloading functions ,operators, handling exceptions in terms
of real world problems to meet the challenges of the future.
n. The ability to develop computational knowledge and project development skills using
innovative tools of C++ and techniques to solve problems in the areas related to OOPs.
POs PSOs
Course Outcomes
a b c d e f g h i j k l m n O
3 3 3 0 2 0 0 0 0 2 0 2 2 2 0
CO1. Use Functions, class , Objects
CO2. Use the concept of Operator 3 3 3 0 2 0 0 0 0 2 0 2 2 2 0
Overloading, Strings
CO3. Write programs with 3 3 3 0 2 0 0 0 0 2 0 2 2 2 0
inheritance and Virtual Functions
CO4. Use Templates and handle the 3 3 3 0 2 0 0 0 0 2 0 2 2 2 0
exceptions
Course Contribution to POs 3 3 3 0 2 0 0 0 0 2 0 2 2 2 0
Course Title: Micro Electro Mechanical Systems Course Code: UEC548E
Credits: 03 (3-0-0) Teaching Hours: 40 Hours Contact hours: 3 Hrs/week
Reference Books:
1) G. K. Ananthasuresh, K. J. Vinoy, S. Gopalkrishnan, K. N. Bhat, V. K. Atre, “Micro and
smart systems”, Wiley, India, 2010.
2) N. P. Mahalik, “M EMS”, Tata McGraw-Hill, 2007.
3) Tai, Ran Hsu,”MEMS and microsystems: design and manufacture”, TMH, 2002.
4) James J. Allen, “Micro Electro Mechanical System design”, CRC Press, Taylor & Francis
Group, 2005.
5) Chang Liu, “Foundations of MEMS”, Pearson education international, 2007.
6) Stephen D. Senturia, “Microsystem design”, Springer International edition, 2001.
m. Analyze and design systems for Electronics, Communication, and Signal Processing
applications.
n. Use domain specific tools for design, analysis, synthesis, and Validation of VLSI and
embedded systems.
o. Demonstrate the conceptual knowledge with respect to architecture, design analysis and
simulation of computer networking and applications.
POs PSOs
Course Outcomes
a b c d e f g h i j k l m n o
CO1: Fundamentals of 3 3 1 1 0 0 1 0 0 0 2 0 3 3 0
MEMS and expose
students to the basic
scaling laws as applied to
micro domain.
CO2: The design and 3 3 3 3 0 0 2 0 0 0 3 0 3 3 0
working principle of
various microsensing and
actuating devices.
CO3: The modeling and 3 2 2 2 3 0 0 0 0 0 3 0 3 3 1
simulation of various types
of micro-systems.
Reference Books:
1) William B. Ribbens, “Understanding Automotive Electronics”, 8th Edition, Elsevier
Publishing.
2) Robert Bosch Gmbh (Ed.) Bosch Automotive Electrics and Automotive Electronics
Systems and Components, Networking and Hybrid Drive, 5th edition, John Wiley &
Sons Inc., 2007.
m. Analyze and design systems for Electronics, Communication, and Signal Processing
applications.
o. Demonstrate the conceptual knowledge with respect to architecture, design analysis and
simulation of computer networking and applications.
Reference Book:
1) Akay M, "Biomedical Signal Processing", Academic: Press 1994.
m. Analyze and design systems for Electronics, Communication, and Signal Processing
applications.
I. Course Objectives:
The objectives of this course are to
1. Learn the generation of different analog and digital signals.
2. Understand different operations on analog and digital signals.
3. Know the transformation of time domain signals into frequency domain.
4. Gain the knowledge of IIR and FIR filter design techniques.
b) Problem analysis: Identify, formulate, review research literature, and analyze complex
engineering problems reaching substantiated conclusions using first principles of mathematics,
natural sciences, and engineering sciences.
c) Design/development of solutions: Design solutions for complex engineering problems and design
system components or processes that meet the specified needs with appropriate consideration for
the public health and safety, and the cultural, societal, and environmental considerations.
e) Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern
engineering and IT tools including prediction and modeling to complex engineering activities with
an understanding of the limitations.
l) Life-long learning: Recognize the need for, and have the preparation and ability to engage in
independent and life-long learning in the broadest context of technological change.
m). Analyze and design systems for Electronics, Communication, and Signal Processing
applications.
n. Use domain specific tools for design, analysis, synthesis, and Validation of VLSI and
embedded systems.
POs PSOs
Course Outcomes
a b c d e f g h i j k l m n o
m. Analyze and design systems for Electronics, Communication, and Signal Processing
applications.
POs PSOs
Course Outcomes
a b c d e f g h i j k l m n O
CO1. Understand the concept of scalar, 3 3 3 2 2 2 2 1 0 0 0 0 3 0 0
vectors, Coulombs law, Electric filed
intensity, Gauss law and its applications,
divergence and analyze the problems
based on the mentioned laws
CO2. Understand potential due to charges, 3 2 3 2 1 2 2 1 0 0 0 0 3 0 0
potential gradient, continuity equation,
boundary conditions and capacitance and
Analyze the problems based on the
mentioned laws
CO3. Understand Poisson’s, Laplaces 3 2 3 2 2 2 2 1 0 0 0 0 3 0 0
equation and its application, Uniqueness
theorem, Biot-savart’s law, ampere’s law,
stokes theorem and Curl with respect to
magnetic fields and analyze the problems
related to the mentioned laws
CO4. Understand about time varying 3 3 3 3 3 3 3 1 0 0 0 0 3 0 0
fields, Maxwell’s equation, retarded
potential, wave propagation in free space,
Poynting’s theorem, uniform plane waves,
Polarization of plane waves, Standing
Wave Ratio (SWR) and analyze the
problems based on the mentioned laws.
Course Contribution to POs and PSOs 3 2.5 3 2.25 2 2.25 2.25 1 0 0 0 0 3 0 0
Course Title: Computer Networks Course Code: UEC642C
Credits: 3 (3-0-0) Teaching Hours: 40Hrs Contact Hours: 3Hrs/Week
CIE Marks: 50 SEE Marks: 50 Total Marks: 100
Course Objectives
1) Build an understanding of the fundamental concepts of computer networking
2) Familiarize the student with the basic taxonomy and terminology of the computer networking
3) Analyze Data link, Network, Transport and Application layer protocols of the Internet
4) Analyze connection-oriented and connectionless transport protocols.
Course Outcomes
A student who successfully completes this course should be able to
1) Master the terminology and concepts of the OSI reference model and the TCP/IP reference
model
2) Master the concepts of protocols, network interfaces, and design/performance issues in local
area networks and wide area networks
3) Identify, compare and contrast different techniques and design issues of core functions such as
addressing, routing, internetworking, switching, multiplexing, error and flow control, medium
access and coding.
4) Become familiar with widely- used Internet protocols such as TCP/IP, UDP, etc.
The topics that enable to meet the above objectives and Course Outcomes are given below
Unit I
Layered tasks, OSI Model, Layers in OSI model, TCP/IP Suite, Addressing, Data Link Control:
Framing, Flow and error control, Protocols, Noiseless channels and noisy channels, HDLC, PPP.
Unit II
Multiple Accesses: Random access, Controlled access, Channelization, Wired LAN, Ethernet, IEEE
standards, Standard Ethernet. Changes in the standards, Fast Ethernet, Gigabit Ethernet, Connecting
LANs, Backbone and Virtual LANs
Unit III
Network Layer, Logical addressing, Ipv4 addresses, Ipv6 addresses, Ipv4 and Ipv6 Transition from
Ipv4 to Ipv6, Delivery, Forwarding, Unicast Routing Protocols, Multicast Routing protocols.
Unit IV
Transport layer Process to process Delivery, UDP, TCP, Application Layer: Domain name system,
Name Space, Domain Name Space, Distribution of Name Space, DNS in the Internet, Resolution,
DNS messages, Types of Records, Registrars, Dynamic Domain Name System, Encapsulation.
Text Book:
1) Data Communication and Networking, “Behrouz A. Forouzan”, 4thEdition, TMH, India,
2006.
Reference Books:
1) Andrew S. Tanenbaum, “Computer networks”, Prentice-Hall, 2010.
2) William Stallings, “Data and Computer Communications”, Prentice-Hall, 2007.
POs satisfied by the course:
a) Engineering knowledge: Apply the knowledge of mathematics, science, engineering
fundamentals, and an engineering specialization to the solution of complex engineering
problems.
b) Problem analysis: Identify, formulate, review research literature, and analyze complex
engineering problems reaching substantiated conclusions using first principles of mathematics,
natural sciences, and engineering sciences.
c) Design/development of solutions: Design solutions for complex engineering problems and
design system components or processes that meet the specified needs with appropriate
consideration for the public health and safety, and the cultural, societal, and environmental
considerations.
d) Conduct investigations of complex problems: Use research-based knowledge and research
methods including design of experiments, analysis and interpretation of data, and synthesis of
the information to provide valid conclusions.
e) Modern tool usage: Create, select, and apply appropriate techniques, resources, and
modern engineering and IT tools including prediction and modeling to complex engineering
activities with an understanding of the limitations.
f) The engineer and society: Apply reasoning informed by the contextual knowledge to
assess societal, health, safety, legal and cultural issues and the consequent responsibilities
relevant to the professional engineering practice.
g) Environment and sustainability: Understand the impact of the professional engineering
solutions in societal and environmental contexts, and demonstrate the knowledge of, and need
for sustainable development.
h) Ethics: Apply ethical principles and commit to professional ethics and responsibilities and
norms of the engineering practice.
i) Individual and team work: Function effectively as an individual, and as a member or
leader in diverse teams, and in multidisciplinary settings.
j) Communication: Communicate effectively on complex engineering activities with the
engineering community and with society at large, such as, being able to comprehend and write
effective reports and design documentation, make effective presentations, and give and receive
clear instructions.
k) Project management and finance: Demonstrate knowledge and understanding of the
engineering and management principles and apply these to one’s own work, as a member and
leader in a team, to manage projects and in multidisciplinary environments.
l) Life-long learning: Recognize the need for, and have the preparation and ability to engage
in independent and life-long learning in the broadest context of technological change.
m) Analyze and design systems for Electronics, Communication, and Signal Processing
applications.
n) Use domain specific tools for design, analysis, synthesis, and Validation of VLSI and
embedded systems.
o) Demonstrate the conceptual knowledge with respect to architecture, design analysis and
simulation of computer networking and applications.
Course Articulation Matrix
Course Outcomes POs PSOs
a b c d e f g h i j k l m n o
CO1: Master the terminology 3 2 3 2 1 1 1 0 0 0 0 0 1 0 3
and concepts of the OSI
reference model and the TCP/IP
reference model
CO2: Master the concepts of 3 3 2 2 1 1 1 1 0 0 0 0 1 0 3
protocols, network interfaces,
and design/performance issues in
local area networks and wide
area networks
CO3: Identify, compare and 3 2 3 2 1 1 1 0 1 1 1 0 1 0 3
contrast different techniques and
design issues of core functions
such as addressing, routing,
internetworking, switching,
multiplexing, error and flow
control, medium access and
coding.
CO4: Become familiar with 3 3 3 2 1 1 2 1 1 1 1 1 1 0 3
widely- used Internet protocols
such as TCP/IP, UDP, etc.
Course Contribution to POs 3 2.5 2.75 2 1 1 1.25 0.5 0.5 0.5 0.5 0.5 1 0 3
Course Title: CMOS Digital VLSI Design Course Code: UEC643C
Reference Books:
1) Jan M. Rabaey, Anantha Chandrakasan, Borivoje Nikolic “Digital Integrated Circuits A
Design
Perspective” Pearson Education Publisher, Second Edition. 2010.
2) John P Uyemura “Introduction to VLSI Circuits and Systems” Wiley Publication 2002.
3) R. Jcob Baker, Harry W. Li and David E Boyce “CMOS Circuit Design, Layout, and
Simulation”
PHI, 1998.
POs PSOs
Course Outcomes
a b c d e f g h i j k l m n o
CO1: Appreciate the importance 3 3 3 0 0 0 0 0 0 0 0 0 3 1 0
and scope of VLSI, Fabrication &
MOSFET transistors.
CO2: To draw RC equivalent circuit 3 3 3 0 0 0 0 0 0 0 0 0 3 2 0
of CMOS circuits and estimate
delay and power.
CO3: To model & design of 3 3 3 0 0 0 0 0 0 0 0 0 3 2 0
interconnects in chips, design of
combinational circuits.
CO4: To Design basic buildings of 3 3 3 0 0 1 2 0 0 0 0 0 3 2 0
sequential and memory blocks using
MOSFET transistors.
Course Contribution to POs 3 3 3 0 0 0.25 0.5 0 0 0 0 0 3 1.75 0
Course Title: Embedded Systems Course Code: UEC644E
Credits: 03 L-T-P: 3-0-0 Contact Hours / Week:03 Total Teaching Hours:40
CIE Marks: 50 SEE Marks: 50 Total Marks: 100
Department: Electronics and Communication Engineering.
Designation: Elective
Course Objectives:
1) To provide knowledge of embedded systems, applications, purpose and study the
characteristics and quality attributes of embedded systems.
2) To provide background knowledge of ARM-32 bit Microcontroller, its architecture and
other internal details.
3) To study hardware software co-design, firmware design and programming in
embedded ‘C’.
4) To impart knowledge of Real Time Operating System (RTOS) based embedded system
design.
Course Outcomes:
A student who successfully completes this course should be able to
1) Gain comprehensive knowledge about embedded systems, major application area of
embedded systems and system components like memory, sensors and actuators.
2) Gain comprehensive knowledge about ARM-32 bit Microcontroller, architecture and
other internal details.
3) Develop embedded applications on IDE environment and programming in embedded
‘C’.
4) Explore one open source RTOS and demonstrate the basic concepts of RTOS.
The topics that enable to meet the above objectives and course outcomes are given below
Textbook:
1. Joseph Yiu, “The definitive guide to the ARM CORTEX-M3”, Newnes, Second
edition.
2. Shibu K V, “Introduction to embedded systems”, Tata McGraw Hill private limited,
2010.
Reference Book:
1. Rajkamal, “Embedded systems: architecture, programming and design”, Tata McGraw
Hill private limited, second edition.
2. Frank Vahid, Tony Givargis, “Embedded system design: A unified hardware/software
introduction”, John Wiley and Sons, 2001.
n) Use domain specific tools for design, analysis, synthesis, and Validation of VLSI and
embedded systems.
POs PSOs
Course Outcomes
a b c d e f g h i j k l m n o
CO1. Gain comprehensive 3 1 1 0 1 1 0 0 0 0 0 0 0 3 0
knowledge about embedded
systems, major application area of
embedded systems and system
components like memory, sensors
and actuators.
CO2. Gain comprehensive 3 2 2 0 1 1 0 0 0 0 0 0 0 3 0
knowledge about ARM-32 bit
Microcontroller, architecture and
other internal details.
CO3. Develop embedded 3 3 3 0 3 3 0 0 0 0 0 0 0 3 0
applications on IDE environment
and programming in embedded
‘C’.
CO4. Explore one open source 3 3 3 0 3 2 0 0 0 0 0 0 0 3 0
RTOS and demonstrate the basic
concepts of RTOS.
Course Contribution to POs 3 2.25 2.25 0 2 1.75 0 0 0 0 0 0 0 3 0
and PSOs
Course Title: Operating Systems Course Code: UEC645E
Credits: 3 (3-0-0) Teaching Hours: 40 Hrs Contact Hours: 3 Hrs/Week
CIE Marks: 50 SEE Marks: 50 Total Marks: 100
Department : Electronics and Communication Engg.
Designation : Elective
Course Objectives:
1. To present operating system fundamentals, structure, services, design, various features of process and
notion of thread.
2. To discuss various CPU scheduling algorithms, software and hardware solutions of the critical
section problem and methods to prevent deadlocks.
3. To know various ways to manage memory and file system.
4. To study file system implementation, mass storage structure, protection.
Course Outcomes:
A student who successfully completes this course should be able to
1. Describe the operating system structure, operations, services, design, thread and various features of
process including scheduling, creation, termination, communication and explore inter process
communication .
2. Discuss various CPU scheduling algorithms , several tools used to solve process synchronisation
problems and also number of different methods for preventing or avoiding deadlocks.
3. Explore various memory management techniques and aspects related to file system.
4. Describe file system implementation, mass storage structure and protection.
The topics that enable to meet the above objectives and course outcomes are given below
Process Scheduling: Basic Concepts, Scheduling Criteria, Scheduling Algorithms, Thread Scheduling.
Process Synchronization: Background, The Critical-Section Problem, Peterson’s Solution, Synchronization
Hardware, Mutex Locks, Semaphores, Classic Problems of Synchronization, Monitors.
Deadlocks: System Model, Deadlock Characterization, Methods for Handling Deadlocks, Deadlock
Prevention, Deadlock Avoidance, Deadlock Detection, Recovery from Deadlock.
Unit III (10 hrs)
Textbook:
1. Abraham Silberschatz , Peter B. Galvin, Greg Gagne,” Operating System Concepts”, 9 th edition,
Wiley India, 2016 .
Reference Books:
1. Dhananjay M. Dhamdhere,” Operating Systems-A Concept Based Approach”, 3rd edition, Tata
McGraw-Hill, 2012.
2. P.C.P.Bhatt,” Operating Systems”,2nd edition, PHI,2007.
3. William Stallings,” Operating Systems: Internals and Design Principles”,6th edition, Pearson,
2009.
m) Analyze and design systems for Electronics, Communication, and Signal Processing
applications.
n) Use domain specific tools for design, analysis, synthesis, and Validation of VLSI and
embedded systems.
o) Demonstrate the conceptual knowledge with respect to architecture, design analysis and
simulation of computer networking and applications.
Course Articulation Matrix
n) Use domain specific tools for design, analysis, synthesis, and Validation of VLSI and
embedded systems.
Course Articulation Matrix
m. Analyze and design systems for Electronics, Communication, and Signal Processing
applications.
n. Use domain specific tools for design, analysis, synthesis, and Validation of VLSI and
embedded systems.
o. Demonstrate the conceptual knowledge with respect to architecture, design analysis and
simulation of computer networking and applications.
Course Articulation Matrix
o) Demonstrate the conceptual knowledge with respect to architecture, design analysis and
simulation of computer networking and applications.
POs PSOs
Course Outcomes
a b c d e f g h i j k l m n O
CO1. Define advanced C programming 3 2 1 1 0 1 0 0 0 0 0 0 0 0 3
concepts like pointers, data structures.
CO2. Apply the knowledge of advanced 3 3 3 3 0 2 0 0 0 0 0 0 0 0 3
C programming concepts to implement
given requirement specification or to
solve real world problem.
CO3. Analyze different data structures 3 3 3 3 0 2 0 0 0 0 0 0 0 0 3
and use suitable data structure to
implement requirement specification.
CO4. Implement, interpret, debug and 3 3 3 3 0 3 0 0 0 0 0 0 0 0 3
test any given advanced C program.
CO5. Develop software product using 3 3 3 3 0 3 0 0 0 0 0 0 0 0 3
advanced C programming concepts to
solve real world problem.
Course Contribution to POs and PSOs 3 2.8 2.6 2.6 0 2.2 0 0 0 0 0 0 0 0 3
Course Title: Computer Networks Lab Course Code: UEC631L
Credits: 01 Total Lab Hours: 25 Hrs Contact Hours: 2 Hrs/Week
CIE Marks: 50 SEE Marks: 50 Total Marks: 100
Department : Electronics and Communication Engg.
Designation : Laboratory
Prerequisites : ---
Course Objectives:
1. To explore the packet tracer in real time mode
2. To explore the logical work space
3. To know the devices operation and configuration
Course Outcomes:
A student who successfully completes this course should be able
1. To apply the concepts of Data Communication and Networking
2. To do Internetworking & devices
3. To develop new routing techniques
4. Practically know the functionality of devices using RIP, OSPF, DHCP, and NAT
10 Configuration of a network using Open Shortest path First (OSPF) using packet tracer
11 Configuration of DHCP using packet tracer
m) Analyze and design systems for Electronics, Communication, and Signal Processing
applications.
n) Use domain specific tools for design, analysis, synthesis, and Validation of VLSI and
embedded systems.
o) Demonstrate the conceptual knowledge with respect to architecture, design analysis and
simulation of computer networking and applications.
Course Articulation Matrix
1) CMOS inverter
2) CMOS two input NANDgate
3) CMOS two input NORgate
4) CMOS two input ORgate
5) CMOS two input ANDgate
6) TG based two input XOR and XNORgates
7) Negative edge triggers D flip flop using TGs andinverters
8) 4:1 MUX using TGs andinverters
9) 3- Bit up counter
10 3-Bit SISO shift register
(m) Analyze and design systems for Electronics, Communication, and Signal Processing
applications.
Course Objectives:
1. To visualize the real life physical systems and make a simple mathematical model of
them using first principles
2. To analyze behavior of the engineering systems using built mathematical models
3. To simulate the developed model using software tools
4. To analyze the results of the simulation
Course Outcomes:
On completion of this course, the students should be able to
1. Build a reduced order model of any engineering system and obtain its mathematical
model
2. Visualize various factors to be considered in any engineering system design
3. Simulate the developed model Use software tools (e.g. SCILAB/XCOS) for modeling,
simulation, and analysis
4. Analyze the system using simulation results
The topics that enable to meet the above objectives and course outcomes are given below
Reference Books:
1. Mukherjee A. and Karmakar R. - ‘Modeling and Simulation of Engineering Systems
through Bondgraphs’ - Narosa – 2000
2. I J Nagrath, M Gopal – Control Systems Engineering, New Age International Publishers,
Fifth Edition, 2007
3. O. Beucher and M. Weeks - Introduction to MATLAB and Simulink a project based
Approach, Infinity Science Press LLC, 2006
4. Chi Tsong Chen – Linear System Theory and Design, Oxford University Press, 1999
5. Ken Dutton, Steve Thompson, Bill Barraclough – The Art of Control Engineering,
Addison – Wesley, 1997
6. J N Kapur – Mathematical modeling, New Age International (P) Ltd. New Delhi
7. S. C. Chapra, R. P. Canale – Numerical methods for Engineers, 4th Ed., TMH, New Delhi
8. Woods Robert L. and Kent L.- ‘Modeling and Simulation of Dynamic Systems’- Prentice
Hall – 1997
9. Frederick C. - ‘Modeling and Analysis of Dynamic Systems’ - Wiley - 2001 - 3rd Edition
m) Analyze and design systems for Electronics, Communication, and Signal Processing
applications.
n) Use domain specific tools for design, analysis, synthesis, and Validation of VLSI and
embedded systems.
Text Book:
1. R. C. Gonzalez, R. E. Woods, “Digital Image processing”, Addison Wesley/ Pearson education,
New Delhi, India, 3rd edition, 2002.
Reference Books:
1. K. Jain, “Fundamentals of Digital Image processing”, Prentice Hall of India, New Delhi, 2nd
Edition, 1997.
2. Rafael C. Gonzalez, “Digital Image processing using MATLAB”, Richard E. Woods and Steven
Low price Edition, Pearson Education Asia, India, 2nd Edition, 2004.
3. William K. Pratt, “Digital Image Processing”, John Wiley & Sons, New Delhi, India, 3rd edition,
2004.
4. Arthur R. Weeks, Jr., “Fundamentals of Electronic Image Processing”, SPIE Optical Engineering
Press, New Delhi, India, 2nd Edition, 1996.
5. S. Jayaraman, Esakkirajan, T.Veerakumar, “Digital Image Processing”, Tata McGraw-Hill
Education.
Web Resources:
1) http://www.cse.iitd.ernet.in%2F~sak%2Fcourses%2Fcdp%2Fslides.pdf&ei=xl4xUsWwI8n_rQe
24YD oAQ&usg=AFQjCNFeZnxu6BwhgXtl0FMEDQFq9FECzw&bvm=bv.52109249,d.bmk
2) http://nptel.iitm.ac.in/courses/Webcourse-contents/IIT-KANPUR/compiler-desing/
3) http://www.diku.dk/~torbenm/Basics/basics_lulu2.pdf
4) http://www.antlr.org/wiki/display/ANTLR3/Tutorials
5) http://javacc.java.net/
6) http://www.engr.mun.ca/~theo/JavaCC-Tutorial/javacc-tutorial.pdf
1. To provide the knowledge about transmission line theory, rectangular waveguide, and
demonstrate the working principle of a microwave vacuum tube device.
2. To introduce scattering parameters, its properties and to give a comprehensive analysis
of various microwave passive devices based on scattering parameters and to impart the
knowledge of microwave radar systems.
3. To introduce basic terminology and concepts of antennas to analyze and differentiate
the antennas, various types of antenna arrays.
4. To introduce antenna aperture characteristics, different antennas operation and their
usage in real time field.
Course Outcomes:
A student who successfully completes this course should be able to
m. Analyze and design systems for Electronics, Communication, and Signal Processing
applications.
POs PSOs
Course Outcomes
a b c d e f g h i j k l m n o
CO1. Acquire the knowledge of 3 2 1 0 0 1 1 0 0 0 0 0 3 0 0
transmission line theory, rectangular
waveguides and describe microwave
vacuum tube device.
m. Analyze and design systems for Electronics, Communication, and Signal Processing
applications.
POs PSOs
Course Outcomes
a b c d e f g h i j k l m n o
CO1. Demonstrate the basic 3 2 1 0 1 1 1 0 0 0 0 0 3 0 0
information theory concepts,
entropy, and need of coding and
working of different types of
source coding techniques
CO2. Derive channel capacity 3 2 1 0 0 1 0 0 0 0 0 0 3 0 0
expression for different types of
discrete communication channels
and describe entropy functions,
equivocation, mutual information
of communication channel
CO3. Design an encoder, decoder 3 3 2 0 1 1 1 0 0 0 0 0 3 0 0
and error correction circuit for
linear block code
CO4. Design an encoder, decoder 3 3 2 0 1 1 1 0 0 0 0 0 3 0 0
and error correction circuit for
cyclic code and demonstrate
encoding of convolutional codes,
also verify its structural properties
using code tree and trellis diagram
Course Contribution to POs 3 2.5 1.5 0 0.75 1 0.75 0 0 0 0 0 3 0 0
and PSOs
Course Title: Multimedia Communication Course Code: UEC744E
Credits: L-T-P: 3-0-0 Contact Hours / Week:03 Total Teaching Hours:40
CIE Marks: 50 SEE Marks: 50 Total Marks: 100
Department: Electronics and Communication Engineering.
Designation: Core / Elective / Open Elective
Course Objectives:
The students should be able to understand
(1) Concepts of multimedia information representation and its communication
using mark uplanguages.
(2) Fundamentals of digital audio and video signals.
(3) Different types of compression techniques and their significance in multimedia
communication.
Course Outcomes:
A student who successfully completes this course should be able to
(1) Explain the concepts multimedia information representation and use the
different markup languagefor its communication.
(2) Explain the needs of video and audio signal processing in multimedia communication.
(3) Apply the different information coding techniques in image and video compression
techniques.
The topics that enable to meet the above objectives and course outcomes are given below
Unit I (10 Hours)
Introduction to Multimedia: Introduction, Multimedia and hypermedia, World Wide Web,
overview of multimedia software tools, Graphics and Image Data Representations: Graphics
image data types, popular file formats, color in image and video: color science, color models
in images, color models in video.
Unit II (10 Hours)
Fundamental Concepts in Video and Digital Audio: Types of video signals, analog video,
digital video, digitization of sound, quantization and transmission of audio. Basics of Digital
Audio: Digitization of sound, Musical Instrument Digital Interface, quantization and
transmission of audio.
Unit III (10 Hours)
Lossless compression algorithm: Run-Length coding, variable length coding, dictionary based
coding, arithmetic coding, lossless image compression, Lossy compression algorithm:
Quantization, transform coding, Wavelet-based coding, embedded zero tree of Wavelet
coefficients Set Partitioning in Hierarchical Trees (SPIHT). Basic Video Compression
Techniques: Introduction to video compression, video compression based on motion
compensation, search for motion vectors, MPEG, Basic Audio CompressionTechniques.
Unit IV (10 Hours)
Multimedia Networks: Basics of Multimedia Networks, Multimedia Network
Communications and Applications: Quality of multimedia data transmission, multimedia over
IP, multimedia over ATM networks, transport of MPEG- 4, Media-on Demand (MOD).
Textbook:
1. Ze-NianLi , Mark S. Drew, ‘’Fundamentals of Multimedia’’, PHI/ PEA.
Reference Books:
1. ParagHavaldar, Gerard Medioni, ‘’Multimedia Systems’’, Cengage, 2009.
2. Colin Moock, SPD O, ‘’Essentials Action Script 3.0’’, Reilly,2007.
3. Steinmetz, Nahrstedt, ‘’Multimedia Applications’’, Springer.
4. Chapman, Jenny Chapman Nigel, ‘’Digital Multimedia’’, Wiley Dreamtech.
5. Steve Heath, ‘’ Multimedia & Communications Technology’’, Elsevier.
m. Analyze and design systems for Electronics, Communication, and Signal Processing
applications.
n. Use domain specific tools for design, analysis, synthesis, and Validation of VLSI and
embedded systems.
o. Demonstrate the conceptual knowledge with respect to architecture, design analysis and
simulation of computer networking and applications.
POs PSOs
Course Outcomes
a b c d e f g h i j k l m n O
CO1. Explain the concepts 0 1 0 0 1 0 1 0 0 1 1 1 1
multimedia information
representation and use the
different markup language
for its communication
CO2. Explain the needs of 0 1 0 1 1 0 0 0 1 1 1 1 1
video and audio signal
processing in multimedia
communication.
CO3. Apply the different 1 1 0 0 1 0 0 0 0 1 1 1 1 1 1
information coding
techniques in image and
video compression
techniques.
POs PSOs
Course Outcomes
a b c d e f g h i j k l m n O
CO1. Apply different soft 3 3 3 2 2 2 0 0 0 0 0 3 3 2 2
computing techniques for
different applications.
Reference Books:
1. Uwe Meyer-Baese, “Digital Signal Processing with Field Programmable Gate
Arrays”, 4th Edition, Springer Publications, 2007
2. Roger Woods, John McAllister, Gaye Lightbody, Ying Yi “FPGA-based
Implementation of Signal Processing Systems”, A John Wiley and Sons, Ltd., Publication
3. Volnei A. Pedroni “Circuit Design and Simulation with VHDL”, 2nd Edition, PHI
Publication.
4. Proakis & Monalakis “Digital Signal Processing – Principles Algorithms &
Applications”, PHI, 3rd Edition, New Delhi, 1997.
POs PSOs
Course Outcomes
a b c d e f g h i j k l m n o
CO1: Understand the working 1 0 1 2 3 0 0 0 0 0 0 0 0 3 0
of FPGA
CO2: Design and implement 1 0 1 2 3 0 0 0 0 0 0 0 0 3 0
the various DSP algorithms on
FPGA, such as DSP
transforms, IIR and FIR
Filters
CO3: Compare the DSP 1 0 1 2 3 0 0 0 0 0 0 0 0 3 0
transforms, FIR and IIR filters
on the basis of performance
CO4: To learn and compare 1 0 1 2 3 0 0 0 0 0 0 0 0 3 0
pipeline strategies for FIR and
IIR filters
Course Contribution to POs 1 0 1 2 3 0 0 0 0 0 0 0 0 3 0
Course Title: Wireless Networks Course Code: UEC747E
Credits: 03 L-T-P: 3-0-0 Contact Hours / Week: 03 Total Teaching Hours: 40
CIE Marks: 50 SEE Marks: 50 Total Marks: 100
Department: Electronics and Communication Engineering.
Designation: Elective
Course Objectives:
This course will enable students to:
1. Understand concepts of wireless networks and its applications
2. Appreciate the contribution of wireless networks to overall technological growth
3. Explain the various terminology, schemes, concepts, components, algorithms and
different methodologies used in wireless networks
4. Compare and contrast various types of wireless networks
Course Outcomes:
A student who successfully completes this course should be able to:
1. Understand fundamentals of wireless networks
2. Analyze unique characteristics and various design issues in wireless networks
3. Demonstrate basic skills for different types of wireless networks design
4. Apply knowledge of various TCP/IP protocols for wireless networking
The topics that enable to meet the above objectives and course outcomes are given below
Unit I (10 hrs)
Wireless networks: Wireless network architectures, classification of wireless networks, wireless
switching technology, wireless communication problems, wireless network reference model,
wireless networking issues, wireless networking standards. Wireless Body Area Network
(WBAN): Properties, network architecture, network components, design issues, network
protocols, WBAN Technologies, WBAN Applications. Wireless Personal Area Network
(WPAN): Wireless Personal Area Network, network architecture, Piconet and Scatternet, WPAN
components, WPAN technologies and protocols, WPAN Applications.
Unit II (10 hrs)
Wireless Local Area Network (WLAN): Network components, design requirements of WLAN,
network architecture, WLAN standards, WLAN protocols, IEEE 802.11p, WLAN Applications
m. Analyze and design systems for Electronics, Communication, and Signal Processing
applications.
o. Demonstrate the conceptual knowledge with respect to architecture, design analysis and
simulation of computer networking and applications.
POs PSOs
Course Outcomes
a b c d e f g h i j k l m n o
CO1: Understand 3 2 3 2 1 1 1 0 0 0 0 0 1 0 3
fundamentals of wireless
networks
CO2: Analyze unique 3 3 2 2 1 1 1 1 0 0 0 0 1 0 3
characteristics and
various design issues in
wireless networks
CO3: Demonstrate basic 3 2 3 2 1 1 1 0 1 1 1 0 1 0 3
skills for different types
of wireless networks
design
CO4: Apply knowledge 3 3 3 2 1 1 2 1 1 1 1 1 1 0 3
of various TCP/IP
protocols for wireless
networking
Course Contribution to 3 2.75 2.75 2 1 1 1.25 0.5 0.5 0.5 0.5 0.25 1 0 3
POs
Course Title: Industrial Automation Course Code: UEC748E
Credits: 3 Teaching Hours: 40Hrs Contact Hours: 3Hrs/Week
L-T-P: 3-0-0 (10Hrs/Unit)
CIE Marks: 50 SEE Marks: 50 Total Marks: 100
Department : Electronics and Communication
Engg.Designation : Elective
Prerequisites : ---
Course Objectives:
1. To learn details of elements of automation, PLC.
2. To impart ladder programming concepts.
3. To introduce the Supervisory Control and Data Acquisition (SCADA), Distributed Control
System(DCS), industrial buses such as CAN, field bus, Profibus, HART bus.
Course Outcomes:
1. Student will be able to explain the importance and benefits of Industrial automation.
2. Student will be able to demonstrate industrial process using PLC.
3. To do different ways of programming of PLC and analyze the programs.
4. To do SCADA and DCS programming for automating a process.
The topics that enable to meet the above objectives and course outcomes are given below:
Reference Books
1) Garry Dunning, “Introduction to Programmable Logic Controllers”, 2nd Edition Thomson
2) MaduchandraMitra, SamarjitsenGupta,“Programmable Logic Controllers and
IndustrialAutomation: An Introduction”, Penram International Publishing India Pvt Ltd.
3) M. Chidambaram, “Computer control of Processes”, Narosa Publishing.
4) Curtis Johnson, “Process Control Instrumentation Technology”, Prentice Hall of India.
5) Bela G. Liptak,“Instrumentation Engineers Hand Book – Process Control”, Chilton Book
Company, Pennsylvania.
a) Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and
an engineering specialization to the solution of complex engineering problems.
c) Design/development of solutions: Design solutions for complex engineering problems and design
system components or processes that meet the specified needs with appropriate consideration for the
public health and safety, and the cultural, societal, and environmental considerations.
e) Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern
engineering and IT tools including prediction and modeling to complex engineering activities with an
understanding of the limitations.
i) Individual and team work: Function effectively as an individual, and as a member or leader in diverse
teams, and in multidisciplinary settings.
j) Communication: Communicate effectively on complex engineering activities with the engineering
community and with society at large, such as, being able to comprehend and write effective reports and
design documentation, make effective presentations, and give and receive clear instructions.
n) Use domain specific tools for design, analysis, synthesis, and validation of VLSI and embedded
systems.
Course Title: Nanotechnology Course Code: UEC734N
Credits: 03 L-T-P: 3-0-0 Contact Hours/ Week: 3 Total Teaching Hours:40
CIE Marks: 50 SEE Marks: 50 Total Marks: 100
Department: Electronics and Communication Engineering.
Designation: Open Elective
Course Objectives:
1. To introduce fundamentals of Nanotechnology and related fields.
2. To introduce various nano materials, nano structures and their synthesis procedures.
3. To introduce different characterization methods for nontechnology.
4. To make students understand the societal implications of nanotechnology and its
management.
Course Outcomes:
A student who successfully completes this course should be able to :
1. Comprehend the fundamentals of nontechnology and develop an understanding of
various nanomaterials and synthesis technology.
2. Understand quantum dots, nano shells, design and development of Nano sensors
3. Comprehend the knowledge of molecular nano mechanics & Nanotribology
4. Analyze and characterize nanodevices, nanostructures and comprehend the societal
implications of nontechnology.
The topics that enable to meet the above objectives and course outcomes are given below
Unit I (10 hours)
Introduction: The Canvas of nanoscience and nanotechnology: - Nano and nature, Evolution of
various technologies of the 20th century, Beginning of Nano. Introduction to Fullerenes:
Introduction to fullerenes, Synthesis & purification of fullerenes, Conductivity &
superconductivity in Fullerenes, Introduction, synthesis & purification of CNT’s, filling &
mechanism of growth of CNT’s, Electronic structure, mechanical and physical properties of
CNT’s, applications of CNT’s.
Unit II (10 hours)
Semiconductor quantum dots: Introduction, synthesis of quantum dots, electronic structure of
nanocrystals. Nano shells: Introduction, types of nanoshells, properties and characterization.
Nano sensor’s: Introduction, Nano sensors, Nano sensors based on quantum size effects,
electrochemical sensors, Nano biosensors and smart dust.
m. Analyze and design systems for Electronics, Communication, and Signal Processing
applications.
n. Use domain specific tools for design, analysis, synthesis, and Validation of VLSI and
embedded systems.
Course Articulation Matrix
The topics that enable to meet the above objectives and course outcomes are given below
Unit I (10 hours)
Reliability: Definition, Importance, History, Failure pattern of complex product, Factor of
safety and reliability, Reliability analysis procedure, Reliability management Some examples
of system failures.
Basic probability theory: Set theory, Laws of probability, Probability theorem Random
variables and probability distributions, Central limit theorem,
Unit II (10 hours)
Failure Density and Distribution functions – Bernoulli’s trials – Binomial distribution –
Expected value and standard deviation for binomial distribution.
Random Variables: Functions of random variables, Single, two and several random variables,
Probability distribution functions, density functions for different types of discrete and
continuous variables, mean, mode and median, Numerical solutions, Extremal distributions.
Unit III (10 hours)
Modeling of geometry, strength and loads, Fatigue strength, Time dependent reliability of
components, Failure rate versus time, reliability and hazard functions and different
distributions, Estimation of failure rate, Expected residual life, Series, parallel and mixed
systems, complex systems, Reliability enhancement.
Unit IV (10 hours)
Reliability based design, Optimization problems, Failure modes and effect analysis, Event tree
and fault tree analysis, Reliability testing, Reliability data and analysis, measurement of
reliability, Monte Carlo Simulation, Computation of reliability
Textbook:
1. Balagurusamy, “Reliability Engineering”, T.M.H. 2003.
Reference Books:
1 Singiresu S. Rao, Reliability Engineering, Pearson 2.
2 Grant E. L. & Leave Worth, Statistical Q. C., T.M.H.
3 Mahajan , Statistical Q.C. 5. Juran and Grayan, Quality Planning Analysis, T.M.H.
Course Outcomes: On the completion of this laboratory course, the students will be able to
1. Design and test the digital modulation techniques and analyze the waveforms
2. Determine the radiation pattern of different antennas
3. Determine the characteristics and response of microwave devices
4. Determine the characteristics of micro strip antennas and devices and compute the
parameters associated with it
LIST OF EXPERIMENTS
m. Analyze and design systems for Electronics, Communication, and Signal Processing
applications.
Course Articulation Matrix
POs PSOs
Course Outcomes
a b c d e f g h i j k l m n o
CO1: Design and test the digital modulation 2 2 3 1 2 0 0 1 2 2 1 0 3 0 0
techniques and display the waveforms
CO2: Determine the radiation pattern of 2 2 3 1 2 0 0 1 2 2 1 0 3 0 0
different antennas
CO3: Determine the characteristics and 2 2 3 1 2 0 0 1 2 2 1 0 3 0 0
response of microwave devices
CO4: Determine the characteristics of micro
strip antennas and devices and compute the 2 2 3 1 2 0 0 1 2 2 1 0 3 0 0
parameters associated with it
Course Title: Modeling and Simulation Lab Course Code: UEC732L
Credits: 1 Teaching Hours: 26 Hours Contact Hours: 2 Hrs/Week
L-T-P: 0-0-2
CIE Marks: 50 SEE Marks: 50 Total Marks: 100
Department : Electronics and Communication Engg.
Designation : Laboratory
Prerequisites : ---
Course Objectives:
1. To familiarize the student in introducing and exploring MATLAB &LabVIEW software’s.
2. To understand and practice the modelling , simulation and implementation of physical systems
using Simulink.
3. To enable the student on how to approach for solving engineering problems using simulation tools.
4. To prepare the students to use MATLAB/LabVIEW in their project works.
Course Outcomes:
1. Ability to express and apply what they have learnt theoretically in the field of engineering
throughprogramming & simulation.
2. Ability to find importance of these software’s for lab experimentation.
3. Articulate importance of software’s in research through simulation.
4. In-depth knowledge of providing virtual instruments on LabVIEW Environment.
5. Ability to write basic mathematical, electrical mechanical problems in Simulink.
LIST OF EXPERIMENTS
MATLAB:
1. Introduction to Simulink
2. Build a Second Order System Model and Simulate the Step Response
3. Implementation of Root locus, Bode and Nyquist plots
4. Mathematical modelling of simple electrical, mechanical systems
5. Amplitude modulation and demodulation
6. Analog filters design
LabVIEW:
1. Introduction to LabVIEW
2. Basic arithmetic and Boolean operations
3. Building Arrays Using For Loop And While Loop
4. Programming Exercises for Clusters and Graphs
5. Programming Exercises on case and sequence structures, file Input/output
6. To use the Format of String, Concatenate Strings, and String Length functions
7. Signal analysis using Express VIs
8. Water level monitoring system
9. Manually and Automatically controlled heating and cooling system
POs satisfied by the course
a. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and
an engineering specialization to the solution of complex engineering problems.
b. Problem analysis: Identify, formulate, review research literature, and analyze complex engineering
problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and
engineering sciences.
c. Design/development of solutions: Design solutions for complex engineering problems and design
system components or processes that meet the specified needs with appropriate consideration for the
public health and safety, and the cultural, societal, and environmental considerations.
d. Conduct investigations of complex problems: Use research-based knowledge and research methods
including design of experiments, analysis and interpretation of data, and synthesis of the information to
provide valid conclusions.
e. Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern
engineering and IT tools including prediction and modeling to complex engineering activities with an
understanding of the limitations.
i. Individual and team work: Function effectively as an individual, and as a member or leader in diverse
teams, and in multidisciplinary settings.
j. Communication: Communicate effectively on complex engineering activities with the engineering
community and with society at large, such as, being able to comprehend and write effective reports and
design documentation, make effective presentations, and give and receive clear instructions.
k. Project management and finance: Demonstrate knowledge and understanding of the engineering and
management principles and apply these to one’s own work, as a member and leader in a team, to manage
projects and in multidisciplinary environments.
m. Analyse and design systems for Electronics, Communication, and Signal Processing Applications.
n. Use domain specific tools for design, analysis, synthesis, and validation of VLSI and embedded
systems.
Course Articulation Matrix
POs PSOs
Course Outcomes
a b c d e f g h i j k l m n o
CO 1: Ability to express and apply3 3 3 1 3 0 0 0 1 1 1 0 3 2 0
what they have learnt theoretically in
the field of engineering through
programming & simulation.
CO2: Ability to find importance of 0 0 1 1 3 0 0 0 0 0 0 0 2 3 0
these software’s for lab
experimentation.
CO3: Articulate importance of 0 1 1 0 3 0 0 0 0 0 0 0 3 1 0
software’s in research through
simulation.
CO4: In-depth knowledge of 0 0 0 0 3 0 0 0 0 0 0 0 0 2 0
providing virtual instruments on
LabVIEW Environment.
CO5: Ability to write basic 3 3 3 1 3 0 0 0 0 0 0 0 3 2 0
mathematical, electrical mechanical
problems in Simulink
Course Contribution to POs 1.20 1.4 1.6 0.6 3 0 0 0 0.2 0.2 0.2 0 2.2 2 0
VIII Semester
Course Title: Project Management and IPR Course Code:UEC841C
Credits: 3 L-T-P:3-0-0 Contact Hours/ Week: 3 Total Teaching Hours:40
CIE Marks: 50 SEE Marks: 50 Total Marks: 100
Department: Electronics and Communication Engineering.
Designation: Core
Course Objectives:
1. To provide the framework of capital budgeting and generation and screening of project
ideas.
2. To provide knowledge and understanding of market and demand analysis, technical
analysis, project risk analysis and financial estimates and projections.
3. To expose students to special decision situations, social cost benefit analysis,
qualitative analysis and environmental appraisal of projects.
4. To introduce fundamental aspects of IPR to students who are going to play a major role
in development and management of innovative projects in industries.
Course Outcomes:
A student who successfully completes this course should be able to:
1. Demonstrate an understanding of various phases of Project Management i.e. planning
as well as implementing.
2. Demonstrate the use of various tools available for Risk analysis in Capital budgeting to
measure the financial feasibility of the project.
3. Demonstrate an understanding of various means of project financing and their merits
and demerits. Demonstrate a systematic project implementation and review.
4. The students once they complete their academic projects, shall get an adequate
knowledge on patent and copyright for their innovative research works.
The topics that enable to meet the above objectives and course outcomes are given below
Unit I (10 hrs)
Concepts of Project Management: Concepts of a Project, Categories of projects, Phases of
project life cycle, Roles and responsibility of project leader, tools and techniques for project
management. Project Planning and Estimating: Capital Expenditures: Importance and
difficulties, Phases of capital Budgeting, Levels of decision making, Facets of Project
Analysis, Feasibility Study: A schematic diagram, Objectives of Capital Budgeting.
Preparation of cost estimation, evaluation of the project profitability.
Unit II (10 hrs)
Generation and Screening of Project Ideas: Generation of Ideas, Monitoring the
Environment, Corporate Appraisal, Scouting for project ideas, Preliminary Screening, Project
rating index, Sources of positive net present value, On being a Entrepreneur. Organizing and
staffing the project team: Skills / abilities required for project manager Authorities and
responsibilities of project manager, Project organization and types accountability in project,
controls, tendering and selection of contractors.
Unit III (10 hrs)
Tools & Techniques of Project Management: Bar (GANTT) chart, bar chart for combined
activities, logic diagrams and networks, Project evaluation and review Techniques (PERT)
Planning, Computerized project management. Project Scheduling: Project implementation
scheduling, effective time management, different scheduling techniques, resources allocation
method. PLM concepts.
Unit IV (10 hrs)
Introduction: Concept of Property, History of IPR, Different forms of IPR, Role of IPR in R
& D. Patents: Meaning of Patent, Object & Value of Patent law, Advantages of patent to the
invertors, Criteria for Patentability, Patents on computer programme, Govt. use of inventions,
infringement of Patents & remedies for infringement, Patent (Amendment Act) 2005.
Textbooks:
1) Prasanna Chandra, Projects Planning Analysis Selection Implementation and Review,
Tata Mc Graw Hill Publication, 7th Edition, 2009
2) Intellectual Property Law, P. Narayan, 3rd edition, Eastern Law House, 2001
Reference Book:
1) Jack R. Meredith, Samuel J. Mantel, Jr. , “Project Management – A managerial
approach” 6thedition Wiley India
2) Chaudhry S., Project Execution Plan: Plan for project Execution interaction, 2001
3) Intellectual Property Rights and Law – G.B. Reddy, 7th Edition, Gogia Law Agency
m. Analyze and design systems for Electronics, Communication, and Signal Processing
applications.
n. Use domain specific tools for design, analysis, synthesis, and Validation of VLSI and
embedded systems.
o. Demonstrate the conceptual knowledge with respect to architecture, design analysis and
simulation of computer networking and applications.
Course Articulation Matrix
POs PSOs
Course Outcomes
a b c d e f g h i j k l m n O
CO1. Students will 1 1 0 0 0 0 0 0 0 0 1 0 1
understand the
basics of project
management,
planning, analysis
and various facets
of PM
CO2. Develop 2 2 1 0 1 1 0 1 1 0 2 1 1 0 0
skills of generation
and screening of
project ideas,
organizing,
staffing,
accountability,
controlling and
selection of
contractors
CO3. Introduced to 3 2 2 1 2 1 0 0 1 2 3 1 1 0 0
the use of various
tools and
techniques of PM,
project scheduling,
resources allocation
methods and PLM
m) Analyze and design systems for Electronics, Communication, and Signal Processing
applications.
Course Articulation Matrix:
POs PSOs
Course Outcomes
a b c d e f g h i j k l m n O
CO1. How to describe the motion of 3 2 1 0 0 0 0 0 0 0 0 0 3 0 0
satellite in the orbit.
CO2. Describe the concepts of 3 2 1 0 0 0 0 0 0 0 0 0 3 0 0
subsystems, link design, rain fading and
link availability.
CO3. Explain modulation techniques 3 2 1 0 0 0 0 0 0 0 0 0 3 0 0
and the performance of satellite
communication systems.
CO4. Analyze the design requirements 3 2 1 0 0 0 0 0 0 0 0 0 3 0 0
and the performance of satellite
communication systems.
Course Contribution to POs and 3 2 1 0 0 0 0 0 0 0 0 0 3 0 0
PSOs
Course Title: Speech Processing Course Code: UEC843E
Credits: 03 L-T-P: 3-0-0 Contact Hours / Week:40 Total Teaching Hours:40
CIE Marks: 50 SEE Marks: 50 Total Marks: 100
Department: Electronics and Communication Engineering.
Designation: Elective
Course Objectives
1) To understand speech production and perception mechanism along with basic
knowledge of phonetics.
2) To acquire knowledge of time-domain representation and analysis tools for speech
analysis
3) To know the frequency-domain representation and analysis concepts using Short-time
Fourier analysis tools.
4) To know the concept of homomorphic analysis of speech signal along with elementary
knowledge of LPC.
Course Outcomes:
A student who successfully completes this course should be able to
1) Explain the speech production and perception mechanism
2) Characterize and analyze speech signals in Time domain
3) Characterize and analyze speech signals in Frequency domain
4) Analyze speech signal using homomorphic transformation and LPC
The topics that enable to meet the above objectives and course outcomes are given below
Unit I ( 10hrs)
Digital representation of speech signal. Waveform representation and parametric
representation. Sampling rate conversion.
Introduction, the process of speech production and classification and basics of phonetics,
phonetic description of phonemes, the acoustic theory of speech production, digital models for
speech – vocal tract, radiation, excitation the complete model.
Unit II ( 10hrs)
Introduction, time dependent processing of speech, short time energy and average
magnitude, short time average zero crossing rate, voiced/unvoiced/silence detection. Pitch
period estimation (Rabiner and Gold method), short time autocorrelation function, short time
average magnitude difference function, u/v/speech/silence detection.
Reference Book:
1) D. O’Shaughnessy, “Speech Communications: Human and Machine,” Universities
Press, 2001.
2) B. Gold and N. Morgan, “Speech and Audio Signal Processing: processing and
perception of speech and music’ Pearson Education, 2003.
m. Analyze and design systems for Electronics, Communication, and Signal Processing
applications.
Course Articulation Matrix
POs PSOs
Course Outcomes
a b c d e f g h i j k l m n O
CO1. Explain the speech production 3 2 1 0 1 1 0 0 0 0 0 0 3 0 0
and perception mechanism
CO2. Characterize and analyze speech 3 3 2 0 1 1 0 0 0 0 0 0 3 0 0
signals in Time domain
CO3. Characterize and analyze speech 3 2 1 0 1 1 0 0 0 0 0 0 3 0 0
signals in Frequency domain
CO4. Analyze speech signal using 3 3 1 0 1 1 0 0 0 0 0 0 3 0 0
homomorphic transformation and LPC
Course Contribution to POs and 3 2.5 1.25 0 1 1 0 0 0 0 0 0 3 0 0
PSOs
Course Title: Advanced Control Systems Course Code: UEC844E
Credits: 03 L-T-P: 3-0-0 Contact Hours / Week:03 Total Teaching Hours: 40
CIE Marks: 50 SEE Marks: 50 Total Marks: 100
Department: Electronics and Communication Engineering.
Designation: Elective
Course Objectives: The course is intended to provide the knowledge about
1. Fundamentals of state variable design and analysis.
2. Fundamentals of state space analysis and state transition matrix.
3. Pole placement techniques and various controllers and compensators.
4. Behavior of non-linear systems and examination of stability criteria.
Course Outcomes:
A student who successfully completes this course should be able to
1. Comprehend the fundamentals of state variable design and analysis.
2. Solve the state equations and state transition matrix.
3. Describe the pole placement techniques and also design and analyse various controllers
and compensators.
4. Analyse the behaviour of non-linear systems and examine the stability criteria of a
given control system using various techniques.
The topics that enable to meet the above objectives and course outcomes are given below
Unit I (10 Hrs)
State Variable Analysis and Design- Introduction, state space representation using physical
variable, phase variable and canonical variables.
Derivation of Transfer Function from State Model- Diagonalization, Eigen values, Eigen
vectors, generalized Eigen vectors.
Unit II (10 Hrs)
State Space Analysis- Solution of state equation, state transition matrix and its properties,
computation using Laplace transformation, power series method, Clay Hamilton method,
concept of controllability and observability methods.
Unit III (10 Hrs)
Pole Placement Techniques- Stability improvements by state feedback, necessary and
sufficient condition for arbitrary pole placement, state regulator design and design of state
observer.
Controllers- Introduction and design of Proportional (P), Integral (I), Differential (D), PI, PD
and PID.
Compensators- Introduction, lead, lag and lag-lead compensators.
Unit IV (10 Hrs)
Non-Linear Systems- Introduction, behavior of non-linear systems, common physical non
linearity- saturation, friction, backlash, dead zone, relay, multivariable non-linearity. Phase
plane method, singular points, stability of non-linear systems, limit cycles, construction of
phase trajectories.
Liapunov Stability Criteria – Liapunov function, direct method of Liapunov and the linear
system, Hurwitz criterion and Liapunov’s direct method, construction of Liapunov functions
for non-linear system by Krasvskii’s method.
Textbook:
1) M. Gopal, “Digital control and state variable methods”, 4th edition, THM, 2012.
Reference Books:
1) J. Nagarath, M. Gopal, “Control system engineering”, 5th edition, New age
international Ltd., 2007.
2) Nagoor Kani, “Advanced control theory”, 2nd edition, RBA publications.
3) Katsuhiko Ogata, “State space analysis of control systems”, 5th edition, Prentice Hall
Inc., 2000.
4) Benjamin C Kuo , Farid Golnaraghi, “Automatic control systems”, 8th edition, John
Wiley and Sons,2003.
5) R V Parvatikar, ‘Modern control theory’, Prism books Pvt. Ltd., 2015.
a) Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and
an engineering specialization to the solution of complex engineering problems.
b) Problem analysis: Identify, formulate, review research literature, and analyze complex engineering
problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and
engineering sciences.
c) Design/development of solutions: Design solutions for complex engineering problems and design
system components or processes that meet the specified needs with appropriate consideration for the public
health and safety, and the cultural, societal, and environmental considerations.
d) Conduct investigations of complex problems: Use research-based knowledge and research methods
including design of experiments, analysis and interpretation of data, and synthesis of the information to
provide valid conclusions.
e) Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering
and IT tools including prediction and modeling to complex engineering activities with an understanding of
the limitations.
k) Project management and finance: Demonstrate knowledge and understanding of the engineering and
management principles and apply these to one’s own work, as a member and leader in a team, to manage
projects and in multidisciplinary environments.
l) Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent
and life-long learning in the broadest context of technological change.
POs PSOs
Course Outcomes
a b c d e f g h i j k l m n o
CO1. Comprehend the fundamentals of 3 3 2 3 1 0 0 0 0 0 1 1 3 0 0
state variable design and analysis.
CO2. Solve the state equations and 3 3 2 2 1 0 0 0 0 0 1 1 3 0 0
state transition matrix.
CO3. Describe the pole placement 3 3 1 1 1 0 0 0 0 0 1 1 3 0 0
techniques and also design and analyse
various controllers and compensators.
CO4. Analyse the behaviour of non- 3 3 1 1 1 0 0 0 0 0 1 1 3 0 0
linear systems and examine the
stability criteria of a given control
system using various techniques.
Course Contribution to POs and 3 3 1.5 1.75 1 0 0 0 0 0 1 1 3 0 0
PSOs
Course Title: Wireless Sensor Network Course Code: UEC845E
Credits: 03 L-T-P: 3-0-0 Contact Hours / Week:03 Total Teaching Hours:40
CIE Marks: 50 SEE Marks: 50 Total Marks: 100
Department: Electronics and Communication Engineering.
Designation: Elective
Course Objectives:
(1) Networked wireless sensor devices, applications and network deployment.
(2) Concepts and issues of sensor node localization and synchronization.
(3) Wireless characteristics and MAC protocols.
(4) The principles of data transmission, clustering algorithm, different routing protocols
and reliability.
Course Outcomes:
A student who successfully completes this course should be able to
(1) Familiar with the principle of sensor nodes, network deployment and architectures.
(2) Identify the issues of wireless sensor networks and propose the solution for
conservation of sensor node energy.
(3) Analyze or compare the performance of different routing and MAC protocols.
(4) Compare the performance of various routing protocols of WSN.
The topics that enable to meet the above objectives and course outcomes are given below
Unit I ( 10 Hours)
Introduction: the vision, networked wireless sensor devices, applications, key design
challenges. Network deployment: Structured versus randomized deployment, network
topology, connectivity using power control, coverage metrics, and mobile deployment.
Unit II ( 10 Hours)
Routing: Metric-based approaches, routing with diversity, multi-path routing, lifetime-
maximizing energy-aware routing techniques, geographic routing, routing to mobile sinks.
Data-centric networking: Data-centric routing, data-gathering with compression, querying,
data-centric storage and retrieval, the database perspective on sensor networks. Reliability and
congestion control: Basic mechanisms and tunable parameters, reliability guarantees,
congestion control, real-time scheduling.
Unit III (10 Hours)
Wireless characteristics: Basics, wireless link quality, radio energy considerations, SINR
capture model for interference. Medium-access and sleep scheduling: Traditional MAC
protocols, energy efficiency in MAC protocols, asynchronous sleep techniques, sleep-
scheduled techniques, and contention-free protocols. Sleep-based topology control:
constructing topologies for connectivity, constructing topologies for coverage, Set K-cover
algorithms.
Unit IV (10 Hours)
Routing: Metric-based approaches, routing with diversity, multi-path routing, lifetime-
maximizing energy-aware routing techniques, geographic routing, routing to mobile sinks.
Data-centric networking: Data-centric routing, data-gathering with compression, querying,
data-centric storage and retrieval, the database perspective on sensor networks. Reliability and
congestion control: Basic mechanisms and tunable parameters, reliability guarantees,
congestion control, real-time scheduling.
Textbook:
1) Bhaskar Krismachari, “Networking Wireless Sensors”, Cambridge University Press
Reference Books:
1) Kazem Sohraby, Daniel Minoli, Taieb Znati , “Wireless Sensor Networks:
Technology, Protocols, and Applications”, Wiley Inter Science.
2) Edgar H. Callaway, Jr, “Wireless Sensor Networks: Architectures and Protocols”,
3) Auerbach Publications, CRC Press.
4) C.S Raghavendra, Krishna M, Sivalingam, Taieb Znati, “Wireless Sensor Networks”,
Springer.
m. Analyze and design systems for Electronics, Communication, and Signal Processing
applications.
o. Demonstrate the conceptual knowledge with respect to architecture, design analysis and
simulation of computer networking and applications.
POs PSOs
Course Outcomes
a b c d e f g h i j k l m n O
CO1. Networked 0 1 1 1 0 1 0 0 0 1 0 0 1 0 1
wireless sensor devices,
applications and network
deployment.
CO2. Concepts and 1 1 0 0 0 0 1 0 1 1 0 0 1 0 1
issues of sensor node
localization and
synchronization.
CO3. Wireless 1 1 1 0 0 0 1 0 1 1 0 0 1 0 1
characteristics and MAC
protocols.
CO4. The principles of 1 1 1 0 0 0 1 0 1 1 0 0 1 0 1
data transmission,
clustering algorithm,
different routing
protocols and reliability.
Course Contribution 0.75 1 0.75 0.25 0 0.25 0.75 0 0.75 1 0 0 1 0 1
to POs and PSOs
Course Title: Machine Learning Course Code: UEC846E
Credits: 03 L-T-P:3-0-0 Contact Hours / Week:3 Total Teaching Hours:
CIE Marks: 50 SEE Marks: 50 Total Marks: 100
Department: Electronics and Communication Engineering.
Designation: Core / Elective / Open Elective
Course Objectives:
1. Appreciate the underlying mathematical relationships of learning models from data
2. Understand a wide variety of machine learning algorithms
3. Read and comprehend state-of-the-art approaches to deep learning from current research
articles and identify a real-world problem
4. Understand how to evaluate models generated from data
Course Outcomes:
A student who successfully completes this course should be able to
1. Understand Supervised and Unsupervised learning techniques
2. Analyze the state of art techniques applied in deep learning research
3. Develop machine learning models for the problem identified
4. Evaluate the different deep learning models used for different applications
The topics that enable to meet the above objectives and course outcomes are given below
Unit I (10hrs)
Introduction: Basic definitions, Machine learning: what and why? Supervised learning,
Unsupervised learning.
Probability- A brief review of probability theory.
Linear Models for Regression: Linear Basis Function Models, Bayesian Linear Regression,
TheEvidence Approximation.
Unit II (10hrs)
Linear Models for Classification - Discriminant Functions, Probabilistic Generative Models,
Probabilistic Discriminative Models, Bayesian Logistic Regression.
Generative models for discrete data: Introduction, Bayesian concept learning, The beta-binomial
model, The Dirichlet-multinomial model, Naive Bayes classifiers.
Unit III (10hrs)
Neural Networks: Feed-forward Network Functions, Network Training, Error Back propagation,
The Hessian Matrix, Regularization in Neural Networks, Bayesian Neural Networks.
Kernel Methods: Dual Representations, Constructing Kernels, Gaussian Processes.
Sparse Kernel Machines: Maximum Margin Classifiers, Relevance Vector Machines
Unit IV (10hrs)
Deep learning: Introduction, Deep generative models, Deep neural networks, Applications of
deep Networks .
Convolutional Networks: The Convolution Operation, Motivation, Pooling, Variants of the
BasicConvolution Function, Data, Efficient Convolution Algorithms.
Textbooks:
1. Christopher Bishop, “Pattern Recognition and Machine Learning”, Springer, 2006
2. Kevin Murphy, “Machine Learning - a Probabilistic Perspective”, MIT Press, 2012.
Reference Books:
1. Joachims, “Learning to Classify Text using Support Vector Machines”, Kluwer, 2002
2. Ian Goodfellow and YoshuaBengio and Aaron Courville, “Deep Learning”, An MIT
Press book.
E-Resources:
1. Introduction to Machine Learning (IIT Madras)
https://nptel.ac.in/courses/106106139/
2. Introduction to Machine Learning (IIT Kharagpur)
https://nptel.ac.in/courses/106105152/
l. Life-long Learning: Recognize the need for and have the preparation and ability to
engage in independent and lifelong learning in the broadest context of technological
change.
PSOs satisfied by the course:
m. The ability to understand, analyse and demonstrate the knowledge of human cognition,
Artificial Intelligence, Machine Learning and data engineering in terms of real world problems to
meet the challenges of the future.
n. The ability to develop computational knowledge and project development skills using
innovative tools and techniques to solve problems in the areas related to Deep Learning, Machine
learning, Artificial Intelligence.
POs PSOs
Course Outcomes
a b c d e f g h i j k l m n O
CO1. Understand Supervised and 3 3 3 0 2 0 0 0 0 2 0 2 2 2 0
Unsupervised learning techniques
CO2. Analyze the state of art techniques 3 3 3 0 2 0 0 0 0 2 0 2 2 2 0
applied in deep learning research
CO3. Develop machine learning models 3 3 3 0 2 0 0 0 0 2 0 2 2 2 0
for the problem identified
CO4. Evaluate the different deep learning 3 3 3 0 2 0 0 0 0 2 0 2 2 2 0
models used for different applications.
Apply knowledge of Kernel Methods and
Sparse Kernel Machine.
Course Contribution to POs and PSOs 3 3 3 0 2 0 0 0 0 2 0 2 2 2 0
Course Title: Optical Fiber Communication Course Code: UEC847E
Credits: 3 (3-0-0) Teaching Hours: 40 Hrs Contact Hours: 3 Hrs/Week
(10 Hrs/Unit)
CIE Marks: 50 SEE Marks: 50 Total Marks: 100
Department : Electronics and Communication Engg.
Designation : Elective
Course Objectives:
This course will enable students to learn:
5. The basic principle of optical fiber communication with different modes of light propagation, the
transmission characteristics and losses in optical fiber.
6. The optical sources and their characteristics, fiber connectors and different splicing techniques
7. The optical detectors and their characteristics, receiver operation and configuration
8. Various techniques for coherent transmission and system performance factors in optical
Communication system.
Course Outcomes:
A student who successfully completes this course should be able to
5. Distinguish between the various modes of operation of optical fibers and identify the various
causes for signal degradation
6. Categorize the types of sources of light on basis of physical construction and principle of
operation
7. Classify the optical detectors on the basis of ability to efficiently detect
8. Generalize the optical fiber system performance for shorter/longer distance transmission
The topics that enable to meet the above objectives and course outcomes are given below:
Overview of optical fiber communication: Optical Spectral Bands, Basic Principles, Fiber Modes and
Configuration, Step-index and Graded index structures, Fiber Materials, Fiber Fabrication.
Signal degradation in optical fibers: Attenuation, Signal Distortion in Optical Waveguides,
Characteristics of Single Mode Fibers.
Optical sources: Characteristics of Light Sources for Communication, LED and LASER diode sources.
Power launching and coupling: Source to Fiber Power Launching, Lensing Schemes for Coupling
Improvement, Fiber-to-Fiber joints, LED Coupling to Single Mode Fibers, Fiber Splicing, Optical Fiber
Connectors.
Unit III (10 hours)
Photo detectors: Physical Principles of Photo Diodes, PIN Photodiode, Avalanche Photo Diode
Optical receiver operation: Fundamental Receiver Operation, Digital Receiver Performance Calculation,
Analog Receivers.
m. Analyze and design systems for Electronics, Communication, and Signal Processing
Applications
Course Articulation Matrix
(n) Use domain specific tools for design, analysis, synthesis, and Validation of VLSI and
embedded systems.
(o) Demonstrate the conceptual knowledge with respect to architecture, design analysis and
simulation of computer networking and applications.
POs PSOs
Course Outcomes
a b c d e f g h i j k l m n o
CO1: Acquire the basic skills 1 2 0 1 2 1 0 0 1 0 0 0 1 1 1
for performing literature
survey
USN:
2 Societal/ Environmental/
Ethical relevance of the topic
(1 Mark) (2 Marks) (3 Marks) (4 Marks)
5 Preparation of slides
(4 Marks) (6 Marks) (8 Marks) (10 Marks)
6 Presentation
(15 Marks) (20 Marks) (25 Marks) (30 Marks)
BVVS
BASAVESHEAR ENGINEERING COLLEGE (A), BAGALKOT
DEPARTMENT OF ELETRONICS AND COMMUNICATION ENGINEERING