T.E. Semester –VI (E&TC)
Choice Based Credit Grading Scheme with Holistic Student Development (CBCGS- H 2019)
TCET Autonomy Scheme (w.e.f. A.Y. 2020-21)
Course Description Teaching Scheme (Academic) Examination Scheme (Academic)
Modes of Teaching/Learning/Weightage Modes of Continuous Assessment/Evaluation
Sr.
No
.
Course Code Course Title
Hours Per Week
Credits
Theory (100) Practical/
Oral (25)
Term
Work (25) Total
Theory Tutorial Practical Contact
Hours IA ESE PR/OR TW
1. HSMC-ETC601 Soft Skills and Interpersonal Communication
3 - - 3 3 25 75 - - 100
2. PCC-ETC601 Digital Communication 3 1 2 6 5 25 75 25 25 150
3. PCC-ETC602 Computer Communication Network 3 - 2 5 4 25 75 25 25 150
4. PEC-ETC601X Professional Elective II 3 - 2@ 5 4 25 75 25 25 150
5. OEC-ETC601X Open Elective I 3 - - 3 3 25 75 - - 100
Total 15 1 6 22 19 Total marks 650
Course Description Non-Credited Mandatory Course (Passing is mandatory for this course) TW
1 MC-ETC601 Essence of Indian Knowledge
Tradition 1 - - 1
(Non-
Credit) - 25 25
Course Description Contact Hrs. during Semester Break/ End of Semester (Between 21st and 25
th Week) TW
1 SI-ETC601 Summer Internship - - - 160 * -
240* 4 *- 6*
- - - 50 50
Course Description Contact Hrs. during Week End / Semester Break/ End of Semester (Between 21st and 25th Week) / During Semester
1 AP-ETC601 Activity Points - - - 52# - - - - - -
Course Description Teaching scheme (Holistic Student Development - HSD) (Conducted in the beginning of Semester during first 3 Weeks)
Evaluation Scheme (HSD)
Presentation Report Total
AC AC
1. ESD-ETC601 Employability Skill Development
IV - - 30 30 1
Based on Parameters Decided by Training and
Placement Cell 50
2. HSD-ETCPS601
Professional Skills VI (Industry
Skills/Research Skills) 15 - 30 45 2 50 25 75
3. HSD-ETCPBL601 Project Based Learning IV
- - 30 30 1 25 - 25
4. HSD-ETCABL601 Research Based Learning II - - 30 30 1 25 25 50
Total 15 - 120 135 5 Total marks 200
Total 28 Grand Total marks: 925
PROFESSIONAL ELECTIVE II OPEN ELECTIVE I
Course Code Course name Domain Course Code Course name PEC-ETC6011 Mixed Signal Design 1 OEC-ETC6011 Digital Marketing
PEC-ETC6012 Fibre Optic Communications
2 OEC-ETC6012 Software Process Automation
PEC-ETC6013 Embedded Systems and
RTOS
3
PEC-ETC6014 Electromagnetic Interference
and Compatibility
4
PEC-ETC6015 Speech and Audio Processing 5
1. IA- In-Semester Assessment, ESE- End Semester Examination, PR- Practical Examination, TW – Term Work Examination, OR- Oral Examination, AC- Activity evaluation
2. @-Professional Elective Courses Lab will be conducted in the form Capstone Project
* Students may go up to 240 hrs. to acquire maximum 6 credits. Students should collectively acquire total contact hrs. in above activities in a span of 1 year (5th and 6th
Semester). Student will submit a report to earn Term work marks in internship at the end of 6th Semester.
Following activities should be considered for Summer Internship: -
1)Participation in inhouse internship at the end of 5th and 6th semester of 2 week each.
2)Other activity which also will be considered are: Participation in Hackathon, Development of new Product/ Business Plan / Registration of start-up, Participation in IPR
workshop/Leadership talks/Idea/ Design / Innovation/Technical Expos, Internship with Industry / Govt. / NGO/ PSU/MSME/Online Internship, Long Term Goals under Rural
Internship.
Note: - For Above Activities mentioned in point 2, if Student is part of Organizing Committee or Participating a Competition at University/State/National/international Level
then it will be considered as Internship else it will be considered as Activity Points.
#As per AICTE, Students has to earn 100 Points by participating in 400 Hrs. of activities during 4 years of Engineering. After Completing 52 hrs. of Activities, Students can
earn 12 Points. This Points will not be reflected in Grade Card. Separate transcript will be issued to students after completion of Final Year.
T.E. Semester –VI (E&TC)
Choice Based Credit Grading Scheme with Holistic Student Development (CBCGS- H 2019)
TCET Autonomy Scheme (w.e.f. A.Y. 2020-21)
B. Tech. E&TC (Cyber Security and Network Management) SEM: VI
Course Name: Soft Skills and Interpersonal Communication Course Code: HSMC-ETC601
Teaching Scheme (Program Specific) Examination Scheme (Formative/ Summative)
Modes of Teaching / Learning / Weightage Modes of Continuous Assessment/ Evaluation
Hours Per Week Theory
(50)
Practical/
Oral
Term Work
(25)
Total
Theory Tutorial Practica
l
Contact
Hours
Cre
dits
IA ESE PR/OR TW
100
3 - - 3 3 25 75 -
-
IA: In-Semester Assessment - Paper Duration – 1.5 Hour
ESE: End Semester Examination - Paper Duration - 3 Hours
The weightage of marks for continuous evaluation of Term work/Report: Formative (40%), Timely completion of
practical (40%) and Attendance / Learning Attitude (20%)
Prerequisite- Basic knowledge of English language, Grammar and Vocabulary
Course Objective: The course intends to understand basics of soft skills, learn essential life skills, understand and develop self
and incorporate ethics and etiquette in day to day life
Course Outcomes: Upon completion of the course students will be able to:
Sr.
No.
Course Outcomes Cognitive level
attainment as per
revised Bloom
Taxonomy
1 Understand basics of soft skills L1, L2, L3
2 Learn essential life skills L1, L2, L3
3 Understand and develop self L1, L2, L3
4 Understand others with empathy L1, L2, L3
5 Use employment skills for placement and higher studies L1, L2, L3
6 Incorporate ethics and etiquette in day to day life L1, L2, L3
Detailed Syllabus:
Module No. Topics Hrs. Cognitive level
attainment as
per revised
Bloom
Taxonomy
1.0 Introduction to Soft Skills 4 L1, L2
1.1 Meaning and Concept
1.2 Importance of soft Skills
1.3 Soft Skills for Lifelong learning- Building a better world
2.0 Essential Soft Skills 6 L1, L2, L3
2.1 Personal integrity
2.2 Taking responsibility
2.3 Professionalism
2.4 Communication
2.5 Critical Thinking
2.6 Creativity and Innovation
3.0 Self-Development 5 L1, L2, L3
3.1 Self-assessment, Awareness, Perception and Attitudes,
Values and belief, Personal goal setting, career planning, Self -
esteem.
3.2 Personal memory
3.3 Rapid reading & Taking notes
3.4 Complex problem solving
3.5 Creativity
4.0 Introduction to Interpersonal Skills 6 L1, L2, L3
4.1 Team work: Mentorship, Motivation
4.2 Problem Solving
4.3 Decision Making
4.4 Time Management
4.5 Emotional Intelligence
4.6 Negotiation Skills
4.7 Stress Management
5.0 Employability Skills 5 L1, L2, L3
5.1 Cover letter
5.2 Resume
5.3 Group Discussion
5.4 Presentation skills
5.5 Interview skills
6.0 Introduction to Corporate Ethics and Etiquette 4 L1, L2, L3
6.1 Business etiquette (meeting etiquette, Dining etiquette,
Interview etiquette, Professional and work etiquette and
Social Skills)
6.2 Greetings and art of conversation
6.3 Dressing and grooming
6.4 Ethical codes of conduct in business Intonation Pattern for
effective presentation
Total Hours 30
Books and References:
SN Name of the Book Name of the
Author
Publisher Edition Year
1 Practical English Usage Michael Swan OUP 4th Edition 1995
2 Remedial English
Grammar
F.T. Wood Macmillan 2014 Edition 2007
3 Pocket Style Manual Diane Hacker Bedford publication,
New York
2003 Edition
(ISBN
0312406843)
2003
4 You Can Win Shiv Khera Macmillan Books,
New York
2003 Edition 2003
5 Technical Writing &
Professional
Communication for non-
native speakers of
English
Thomas N.
Huckin &
Leslie A.
Olsen
McGraw Hill
Education
2011 Edition 2011
6 The 7 Habits of Highly
Effective People
Stephen Covey Free Press 2016 Edition 2016
T.E. Semester –VI (E&TC)
Choice Based Credit Grading Scheme with Holistic Student Development (CBCGS - H 2019)
TCET Autonomy Scheme (w.e.f. A.Y. 2020-21)
B. Tech. E&TC (Cyber Security and Network Management) SEM: VI
Course Name: Digital Communication Course Code: PCC-ETC601
Teaching Scheme (Program Specific) Examination Scheme (Formative/ Summative)
Modes of Teaching / Learning / Weightage Modes of Continuous Assessment / Evaluation
Hours Per Week Theory
(100)
Practical/Oral
(25)
Term Work
(25)
Total
Theory Tutorial Practical Contact
Hours
Credits IA ESE PR TW
150 3 1 2 6 5 25 75 25 25
IA: In-Semester Assessment - Paper Duration – 1.5 Hours
ESE: End Semester Examination - Paper Duration - 3 Hours
The weightage of marks for continuous evaluation of Term work/Report: Formative (40%), Timely
completion of practical (40%) and Attendance/Learning Attitude (20%)
Prerequisite: Basics of Communication Systems
Course Objective:
The course intends to identify the signals and functions of its different components, to learn about theoretical aspects of d igital
communication system and draw signal space diagrams, compute spectra of modulated signals, to learn about error detection an d
correction to produce optimum receiver.
Course Outcomes: Upon completion of the course students will be able to:
SN Course Outcomes Cognitive levels
of attainment as
per Bloom’s
Taxonomy
1 Understand random variables and random processes of signal,
L1
2 Apply the concepts of Information Theory in source coding,
L1, L2
3 Evaluate different methods to eliminate Inter-symbol interference,
L1, L2, L4
4 Compare different band-pass modulation techniques,
L1, L2, L3, L4
5 Evaluate performance of different error control codes.
L1, L2, L3
6 Understand optimum reception of digital signal L1,L2
Detailed Syllabus:
Modul
e No.
Topics Hrs. Cognitive
levels of
attainment
as per
Bloom’s
Taxonomy
1 Probability Theory & Random Variables
7
L1
Information, Probability, Conditional Probability of independent events, Relation
between probability and probability Density, Raleigh Probability Density, CDF, PDF.
Random Variables, Variance of a Random Variable, correlation between Random
Variables, Statistical Averages (Means), Mean and Variance of sum of Random
variables, Linear mean square Estimation, Central limit theorem
2 Information Theory and Source Coding
6
L1, L2
Block diagram and sub-system description of a digital communication system, measure
of information and properties, entropy and it’s properties
Mini Source Coding, Shannon ‘s Source Coding Theorem,
Shannon-Fano Source Coding, Huffman Source Coding
Differential Entropy, joint and conditional entropy, mutual information and channel
capacity, channel coding theorem, channel capacity theorem
3 Error Control Systems
11
L1, L2, L3,
L4 Types of error control, error control codes, linear block codes, systematic linear block
codes, generator matrix, parity check matrix, syndrome testing, error correction, and
decoder implementation
Systematic and Non-systematic Cyclic codes: encoding with shift register and error
detection and correction
Convolution Codes: Time domain and transform domain approach, graphical
representation, code tree, trellis, state diagram, decoding methods .
4 Bandpass Modulation & Demodulation
9
L1, L2, L3,
L4 Band-pass digital transmitter and receiver model, digital
modulation schemes
Generation, detection, signal space diagram, spectrum, bandwidth efficiency, and
probability of error analysis of: Amplitude Shift Keying (ASK), Frequency Shift
Keying (FSK)Modulations, Binary Phase Shift Keying (BPSK) Modulation,
Quaternary Phase Shift Keying QPSK), M-ary PSK Modulations, Quadrature
Amplitude Modulation (QAM), Minimum Shift Keying (MSK)
5 Baseband Modulation & Transmission
5
L1, L2, L3
Discrete PAM signals and it’s power spectra
Inter-symbol interference, Nyquist criterion for zero ISI, sinusoidal roll-off filtering ,
correlative coding, equalizers, and eye pattern
6 Optimum Reception of Digital Signal L1
Baseband receiver, Probability of Error, Optimum Receiver and Filter, Matched Filter
and its probability of error, Coherent Reception
7
Total Hours 45
Books and References:
SN Title Authors Publisher Edition Year
1 Principles of
Communication
Systems
H. Taub, D. Schlling,
and G. Saha
Tata Mc-
Graw Hill,
New Delhi
3rd Edition
2012
2 Modern Digital and
Analog
Communication
Systems
Lathi B P, and Ding
Z
Oxford
University
Press
4th Edition,
2009
3 Digital
Communication
Systems
Haykin Simon ‖ John Wiley
and Sons,
New Delhi
4th Edition,
2014
4 Digital
Communication:
Fundamentals and
applications
Sklar B, and Ray P.
K
‖ Pearson,
Dorling
Kindersley
(India), Delhi
2nd Edition
2009
5 Analog and Digital
Communication
T L Singal ‖ Tata Mc-
Graw Hill,
New Delhi,
1st Edition 2012
6 Digital Communication P Ramakrishna Rao ‖ Tata Mc-
Graw Hill,
New Delhi
1st Edition 2011
7 Contemporary
Communication
systems
M F Mesiya Mc-Graw
Hill,
Singapore
1st Edition 2014
Online Reference:
S.
No.
Website Name URL Modules
Covered
1 NPTEL https://nptel.ac.in/courses/117/105/117105144/ M1- M6
2 NPTEL https://nptel.ac.in/noc/courses/noc19/SEM1/noc19-ee06/ M1-M6
Suggested list of Practical/ Experiments:
Practical
Number
Type of
Experiment
Practical/ Experiment Topic Hrs
.
RBT Levels
1
Basic
Experiments
To understand Various line codes
2
L1,L2
2
To observe the performance of Non-
Return to Zero (NRZ) types of line code
2
L1,L3
3
Design
Experiments
Modulation and Demodulation of Binary
Amplitude Shift Keying
2
L1, L2, L3
4
To understand sampling theorem and
reconstruction
2
L1, L2, L3
5
Modulation and Demodulation of Binary
Frequency Shift Keying
2
L1, L2
6 Modulation and Demodulation of Binary
Phase Shift Keying
2 L1
7 Modulation and Demodulation of
Quadrature Phase Shift Keying
2
L1, L2, L3
8
Advanced
Experiments
To observe the effect of signal Distortion
using EYE-Diagram
2 L1, L2
9 To Study and perform Linear Block codes 2 L1
10 To Study and perform cyclic codes 2 L1, L2, L3
11
MSE of practical/oral
2 --
12,13,14,15
Mini/Minor
Projects/
Seminar/ Case
Studies
Mini Projects:
1.Design of QPSK
2.Design of QAM
3.Design of Trellies code
Case Study:
1.Design of ASK
2. Design of FSK
3. Design of PSK
8
L1, L2, L3, L4
T.E. Semester –VI (E&TC)
Choice Based Credit Grading Scheme with Holistic Student Development (CBCGS - H 2019)
TCET Autonomy Scheme (w.e.f. A.Y. 2020-21)
BE (Electronics and telecommunication Engineering) T.E. (SEM: VI)
Course Name: Computer Communication Network
Course Code: PCC-ETC 602
Teaching Scheme (Program Specific) Examination Scheme (Formative/ Summative)
Modes of Teaching / Learning / Weightage Modes of Continuous Assessment / Evaluation
Hours Per Week Theory Practical/Oral Term Work Total
Theory Tutorial Practical Contact
Hours
Credits IA ESE PR TW
150
3 - 2 5 4 25 75 25 25
IA: In-Semester Assessment Paper Duration – 1.5 Hours
ESE: End Semester Examination - Paper Duration - 3 Hours
The weightage of marks for continuous evaluation of Term work/Report:
Formative (40%), Timely completion of practical (40%) and Attendance / Learning Attitude (20%)
Prerequisite: Computer Basics, Analog and Digital Communication
Course Objective:
This course is to provide students with an overview of the concepts and fundamentals of computer communication
networks. Topics to be covered include: data communication concepts and techniques in a layered network
architecture, communications switching and routing, types of communication, network congestion, network
topologies, network configuration and management, network model components, layered network models (OSI
reference model, TCP/IP networking architecture) and their protocols, various types of ne tworks and their protocols.
Course Outcomes: Upon completion of the course students will be able to:
Sr.
No.
Course Objectives Cognitive levels of
attainment as per
Bloom’s
Taxonomy
Students should be able to:
1 Draw and explain computer network layered architecture layers including
protocols and their services.
L1, L2
2 Describe the functions of physical layer and various hardware components
such as physical media, networking components required in data
transmission and multiplexing techniques.
L1, L2
3 Explain different data link layer services and elementary data link protocols. L1, L2
4 Explain medium access sub layer services and multiple access protocols. L1, L2
5 Describe the functions of network layer and how protocols are designed and
used in services for packet routing and forwarding
L1, L2, L3
6 Explain transport layer host to host services such as connection-oriented data
stream support, reliability, flow control, and multiplexing with their
performance parameters.
L1, L2, L3, L4
Detailed Syllabus:
Books and References:
SN Title Authors Publisher Edition Year
1 Computer Networks A. S. Tanenbaum Prentice Hall 5th
2013
2 Data and Computer
Communication
B. F. Ferouzan McGraw Hill
Higher Education
Special
Indian
2011
3 TCP/IP Protocol Suite B. F. Ferouzan Tata McGraw Hill 4th 2010
4 Computer Networks: A
Systems Approach (The
Morgan Kaufmann Series in
Networking)
Peterson&Davie, Morga n
Kaufmann
5th 2011
5 An Engg, Approach to
ComputerNetworking
S. Keshav Addison Wesley 10th 1997
Online References:
Module
No.
Topics Hrs. Cognitive levels of
attainment as per
Bloom’s
Taxonomy
1 Introduction
06 L1, L2 Network Applications, Network Hardware, Network Software.
Reference Models, overview of TCP/IP, layer Functions, services,
sockets and ports, Encapsulation.
2 Introduction to Physical layer Services and System
08 L1, L2
Introduction to physical media, Coax, RJ 45, fiber, twisted pair,
DSL, HFC, WiMax, cellular, satellite, and telephone networks, bit
transmission, frequency division multiplexing. time division
multiplexing.
3 The Data Link Layer
08 L1, L2
Data link Layer Design Issues , Error Detection and Correction,
Elementary Data Link Protocols, Sliding Window Protocols,
Example Data Link Protocols: HDLC: High-Level Data Link
Control, The Data Link Layer in The Internet.
4 The Medium Access Layer 06 L1, L2
Channel Allocation Problem, Multiple Access Protocols
5 The Network Layer
10 L1, L2, L3
Network Layer Design Issues, Routing Algorithms. Congestion
Control Algorithms, Quality of Service, Internetworking., The
Network Layer in The Internet: The IP Protocol, IPv4 header, IP
Addressing, Subnetting.
Internet Control Protocols, The Interior Gateway Routing Protocol:
OSPF, The Exterior Gateway Routing Protocol: BGP.
6 The Transport Layer
10 L1, L2, L3, L4
The Transport Service, The Transport Service, The Internet
Transport Protocol: UDP
The Internet Transport Protocol: TCP: -Introduction to TCP, The
TCP Service Model, The TCP Protocol, The TCP Segment Header,
TCP Connection Establishment, TCP Connection Release,
Modeling TCP Connection Management., TCP Transmission
Policy, TCP Congestion Control, TCP Timer Management,
Transactional TCP.
Total 48
Sr.
No.
Website Name URL Modules
Covered
1 www.nptel.ac.in https://nptel.ac.in/courses/106105183/ M1-M6
2 www.nptel.ac.in https://nptel.ac.in/courses/106106091/ M1-M6
3 www.cisco.com https://www.cisco.com/c/m/en_za/solutions/computer-
networking.html
M1-M6
Suggested List of Practical/Experiment:
Practical.
No
Type of
Experiment
Practical/ Experiment Topic Hrs. Cognitive levels
of attainment as
per Bloom’s
Taxonomy
1
Basic
Experiments
Study of Networking Devices 2 L1
2 Study of various transmission medium and
switching techniques 2 L1
3
Design
Experiments
To implement data link layer protocol:
Stop & Wait in Matlab 2 L1,L2,L3
4 To implement bit stuffing & Byte stuffing
in Matlab 2 L1,L2,L3
5
To Configure a LAN and perform static
and dynamic routing in Packet Tracer
Software
2 L1,L2,L3
6 To configure a WAN and operate the
basic networking commands to test the
network. 2 L1,L2,L3,L4
7 To configure a Local Area Network in
packet tracer software and perform the
simulation to observe functions of ARP
protocol.
2 L1,L2,L3
8 Advanced
Experiments
To study three way handshaking process
in TCP protocol. 2 L1,L2,L3,L4
9 To simulate a TCP connection and TCP
retransmission timer. 2 L1,L2,L3
10 Design TCP iterative Client and Server
application to reverse the given input
sentence. 2 L1,L2,L3
11 Design UDP Client Server to transfer a file . 2 L1,L2,L3
12,13,14,15
Mini/Minor
Projects/
Seminar/ Case
Studies
1.Design a small or medium sized
computer network including media
types, end devices, and
interconnecting devices that meets a
customer’s specific needs. 2. Case Study: To study installation of
linux operating system by using
DHCP, TFTP and any repository
server like HTTP, FTP or NFS.
3. To implement stream socket that can
serve multiple clients at the same
time.
4. Case study: On E&TC department
LAN structure
8 L1,L2,L3,L4,L5
Total 30
T.E. Semester –VI (E&TC)
Choice Based Credit Grading Scheme with Holistic Student Development (CBCGS - H 2019)
TCET Autonomy Scheme (w.e.f. A.Y. 2020-21)
B.E. (Electronics & Telecommunication Engineering) T.E. (SEM: VI)
Course Name: Mixed Signal Design Course Code: PEC-ETC6011
Teaching Scheme (Program Specific) Examination Scheme (Formative/ Summative)
Modes of Teaching / Learning / Weightage Modes of Continuous Assessment / Evaluation
Hours Per Week Theory
(100)
Practical/Oral
(25)
Term Work
(25)
Total
Theory Tutorial Practical Contact
Hours Credits IA ESE PR/OR TW
150
3 - 2@ 5 4 25 75 25
25
IA: In- Semester Examination- Paper Duration –1.5 Hour
ESE: End Semester Evaluation- Paper Duration - 3 Hours
The weightage of marks for evaluation of Term work/ Report: Formative (40%), Timely completion of practical (40%) and
Attendance/Learning Attitude (20%)
Prerequisite: Electronic Devices and Circuits I, Electronic Devices and Circuits II, Linear Integrated Circuits,
Microelectronics.
Course Objective:
The course intends to describe the design of data converters using MSD techniques and the associated trade -offs. The focus is on
practical and useful circuits that uses MSD techniques that may prove useful in ultimately replacing the pipeline ADC in
nanometer CMOS technology nodes.
Course Outcomes:
Upon completion of the course students will be able to:
SN Course Outcomes
Cognitive levels of
attainment as per Bloom’s
Taxonomy
1 Analyze and design single stage MOS Amplifiers. L1, L2, L3, L4, L5
2 Analyze and design Operational Amplifiers and MOS filters L1, L2, L3, L4, L5
3 Analyze and design data converter circuits. L1, L2, L3, L4, L5
4 Identify design requirements of analog and mixed signal circuits L1, L2, L3, L4
5 Analyze and design CMOS based switched capacitor circuits L1, L2, L3, L4, L5
6 Understand Oscillators and Phase Locked Loops. L1
Detailed Syllabus:
Module Topics Hrs. Cognitive
levels of
attainment
No. as per
Bloom’s
Taxonomy
1 Fundamentals of MOS Amplifiers
06 L1, L2, L3,
L4, L5
1.1 MOS Single-stage Amplifiers: Basic concepts of common source
stage, source follower, common gate stage, Differential Amplifiers
1.2 Current mirrors: Basic current mirror, cascode current mirro r,
active current mirror, Wilson and Widlar current mirrors, voltage and
current references
2 Design of MOS operational amplifier
06 L1, L2, L3,
L4, L5
2.1 General considerations, One-Stage Op amps, Two-Stage Op amps,
Gain Boosting, Input Range Limitation.
2.2 Integrator Building Blocks- low pass filter, Active RC integrators,
MOSFET-C Integrators, gm-C integrators, Discrete time integrators.
3 Oscillators and Phase Locked Loops
08 L1, L2, L3,
L4, L5
3.1 General Considerations, Ring Oscillators, LC Oscillators, Voltage
Controlled Oscillators (VCO), tuning range, tuning linearity
Mathematical Model of VCO
3.2 Simple PLL-phase detector, Charge-pump PLL‘s, Non ideal effects
in
PLL, Delay locked Loops, applications of PLL.
4 Switched Capacitor circuits
08 L1, L2, L3,
L4
4.1 Theory of sampled data systems, Basic sampling circuits for analog
signal sampling, performance metrics of sampling circuits, design and
analysis of switched capacitor circuits.
4.2 Switched capacitor amplifiers (SC), switched capacitor integrators,
first and second order switched capacitor circuits.
5 Data converters
10 L1, L2, L3,
L4, L5
5.1 Analog versus digital discrete time signals, converting analog
signals to data signals, sample and hold characteristics. DAC
specifications, ADC specifications
5.2 Mixed signal Layout issues, Floor planning, power supply and
Ground issues, other interconnect Considerations
6 Data Converter Architectures
10 L1
6.1 DAC architectures: R-2R ladder networks, current steering, charge
scaling DACs, Cyclic DAC, pipeline DAC, Switched capacitor based
DAC design.
6.2 ADC architectures: flash, 2-step flash ADC, pipeline ADC,
integrating ADC, and successive approximation ADC, Switched
capacitor based ADC design
Total 48
Books & References:
SN Title Authors Publisher Edition Year
1 Microelectronic Circuits-Theory and
Application Advanced engineering
mathematics
Sedra, K. Smith,
adapted by A.
Chanorkar
Oxford Higher Education
7th 2015
2 CMOS Mixed-Signal circuit design Jacob Baker IEEE Press 2nd
3 Design of Analog Integrated Circuits B. Razavi McGraw Hill Education Indian
Edition 2000
4 CMOS Analog Circuit Design P. E. Allen and D
R Holberg Oxford University Press 2nd
2002
5 CMOS: Circuit Design, layout and
Simulation
Baker, Li, Boyce PHI 2nd
2000
Online References:
S. No. Website Name URL Modules
Covered
1 www. swayam.gov.in https://swayam.gov.in/nd1_noc19_ee38/preview M1-M3
2 www.edx.org https://www.edx.org/course/essentials -of-mosfets M5, M6
3 www. swayam.gov.in https://swayam.gov.in/nd1_noc19_ee54/preview M1-M4
Suggested List of Practical/ Experiment:
Practical
Number
Type of Experiment Practical/ Experiment Topic Hrs.
Cognitive levels of
attainment as per
Bloom’s Taxonomy
1.
Basic Experiments
MOS single stage amplifier.
2
L1, L2, L3, L4
2. Differential Amplifier. 2 L1, L2, L3, L4
3. Widlar current mirror 2 L1, L2, L3, L4
4. Wilson current mirror
2
L1, L2, L3, L4
5. DAC using R-2R network 2 L1, L2, L3, L4
6.
Design Experiments
Switched capacitor amplifier
2 L1, L2, L3, L4, L5, L6
7.
Design of DAC using R-2R
2
8. Mid Term Examination 2
9.
Advanced Experiments
Implement simple PLL in CMOS technology 2 L1, L2, L3, L4
10.
Implementation of two stage Op-Amp
Colpitt Oscillator.
2 L1, L2, L3, L4
11. ADC using Flash Network
2 L1, L2, L3, L4
12-15
Mini/Minor Projects/
Seminar/ Case Studies
Cascode current mirror.
Gain Boosting in Op-Amp
Mathematical Model of VCO
Application of switched capacitors.
Mixed signal Layout issues.
8
L1
Total Hours 30
T.E. Semester –VI (E&TC)
Choice Based Credit Grading Scheme with Holistic Student Development (CBCGS - H 2019)
TCET Autonomy Scheme (w.e.f. A.Y. 2020-21)
B.E. (Electronics & Telecommunication Engineering) T.E. (SEM: VI)
Course Name: Fiber Optic Communication Course Code: PEC-ETC6012
Teaching Scheme (Program Specific) Examination Scheme (Formative/ Summative)
Modes of Teaching / Learning / Weightage Modes of Continuous Assessment / Evaluation
Hours Per Week Theory
(100)
Practical/Oral
(25)
Term Work
(25)
Total
Theory Tutorial Practical Contact Hours
Credits IA ESE PR/OR TW
150
3 - 2@ 5 4 25 75 25
25
IA: In- Semester Examination- Paper Duration –1.5 Hour
ESE: End Semester Evaluation- Paper Duration - 3 Hours
The weightage of marks for evaluation of Term work/ Report: Formative (40%), Timely completion of practical (40%) and
Attendance/Learning Attitude (20%)
Prerequisite: Physics, Electromagnetic wave propagation, Electronics devices and circuits, Principles of communication
Course Objective:
The course intends to give the fundamental understanding of optical fiber communication, its transmission properties along with
optical link components, so that students can apply the knowledge to analyze an optical link. Lastly course will also give an
understanding of microwave photonics.
Course Outcomes:
Upon completion of the course students will be able to:
SN Course Outcomes
Cognitive levels of attainment
as per Bloom’s Taxonomy
1 Illustrate light propagation in optical fibers based on fundamental characteristics of
fiber.
L1, L2, L3
2 Describe, compare and contrast the functions of passive and active optical
components.
L1, L2
3 Draw the structure and describe working of various optical sources and performance
parameters.
L1, L2, L3
4 Explain the transmission properties of optical fibers. L1, L2, L3
5 Explain working principles and characteristics of various optical detectors and
receivers and their noise analysis.
L1, L2, L3
6 Analyse the optical link based on optical link budgeting and describe microwave
photonics.
L1, L2, L3, L4
Detailed Syllabus:
Module
No.
Topics Hrs. Cognitive levels of
attainment as per
Bloom’s Taxonomy
Books and References:
SN Title Authors Publisher Edition Year
1 Optical Fiber
Communication Gerd Keiser MGH
4th
2008
2 Optical Fiber
Communications John M. Senior Pearson Education 3rd 2007
3 Fiber Optics
Communications Harold Kolimbiris
Pearson/Prentice
Hall 3rd 2004
4 Fiber optic communication Joseph C Palais Pearson Education
5th
2005
5 An introduction to fiber
optics A. Ghatak and K.Thyagrajan Cambridge
University Pres 5th 2012
Online References:
Sr.
No.
Website Name URL Modules Covered
1 https://swayam.gov.in https://swayam.gov.in/nd1_noc19_ee67/preview M1,M2,M3,M4,M5,M6
2 https://nptel.ac.in https://nptel.ac.in/courses/117101054/ M1,M2,M3,M4,M5,M6
3 https://nptel.ac.in https://nptel.ac.in/noc/individual_course.php?id=noc17-ec07
M6
1 Optical Fiber and their properties 10
Historical development, general system, advantages, disadvantages, and
applications of optical fiber communication, optical fiber waveguides, Ray theory,
cylindrical fiber (no derivations), single mode fiber, cutoff wave length, and mode
filed diameter. Wave guiding principles, Theory of optical wave propagation, Types
and classification of optical fibers, loss and bandwidth.
L1, L2, L3
2 Fiber Optic Components 06
Fiber fabrication (VAD, MCVD), fiber joints, fiber connectors, splices Couplers,
multiplexers, filters, fiber gratings, Fabry Perot filters, switches and wavelength
converters, Optical amplifiers, basic applications and types, semiconductor optical
amplifiers, EDFA.
L1, L2
3 Optical Sources 06
Working principle and characteristics of sources (LED, LASER), Tunable lasers
Quantum well lasers, Charge capture in Quantum well lasers, Multi Quantum well
Laser diodes, Surface Emitting Lasers: Vertical cavity Surface Emitting Lasers.
L1, L2, L3
4 Transmission Characteristics of Optical Fiber 12
Attenuation, absorption, linear and nonlinear scattering losses, bending losses,
modal dispersion, waveguide dispersion, dispersion and pulse broadening,
dispersion shifted and dispersion flattened fibers. General Overview of
nonlinearities, Stimulated Raman Scattering, Stimulated Brillouin Scattering, Self-
Phase modulation, Cross –Phase modulation, four waves mixing and its mitigation,
Solitons. Measurements of attenuation, dispersion and OTDR
L1, L2, L3
5 Optical Detectors 06
Working principle and characteristics of detectors (PIN, APD), Noise analysis in
detectors, coherent and noncoherent detection, receiver structure, bit error rate of
optical receivers, and receiver performance.
L1, L2, L3
6 Optical Link 08
Introduction, point to point links, system considerations, link power budget, and
rise time budget. RF over fiber, key link parameters, Radio over fiber links,
microwave photonics.
L1, L2, L3, L4
Total 48
T.E. Semester –VI (E&TC)
Choice Based Credit Grading Scheme with Holistic Student Development (CBCGS- H 2019)
TCET Autonomy Scheme (w.e.f. A.Y. 2020-21)
B.E. (Electronics & Telecommunication Engineering) T.E. (SEM: VI)
Course Name: Embedded Systems and RTOS Course Code: PEC-ETC6013
Teaching Scheme (Program Specific) Examination Scheme (Formative/ Summative)
Modes of Teaching / Learning / Weightage Modes of Continuous Assessment / Evaluation
Hours Per Week Theory
(100)
Practical/Oral
(25)
Term Work
(25)
Total
Theory Tutorial Practical Contact
Hours Credits IA ESE PR/OR TW
150
3 - 2@ 5 4 25 75 25
25
IA: In- Semester Examination- Paper Duration –1.5 Hour
ESE: End Semester Evaluation- Paper Duration - 3 Hours
The weightage of marks for evaluation of Term work/ Report: Formative (40%), Timely completion of practical (40%) and
Attendance/Learning Attitude (20%)
Prerequisite: Basic Knowledge of Microprocessor & Microcontroller, Basic knowledge of programming
Course Objectives:
The purpose of this undergraduate course is to provide the student with a high -level understanding of embedded systems and
real time operating systems with simulation tools for testing purpose and case studies .
Course Outcomes:
SN Course Outcomes Cognitive Levels
as per Blooms
Taxonomy
1 Understand fundamental embedded systems design paradigms, architectures, possibilities and challenges, both with respect to software and hardware
L1, L2
2 Analyse a system both as whole and in the included parts, to understand how these parts interact in the functionality and properties of the system
L1, L2, L3, L4
3 Apply gained theoretical knowledge in order to design, analyse and implement embedded systems, e.g. integrating embedded subsystems and applications
L1, L2, L3
4 Apply formal method, testing, verification, validation and simulation techniques and tools in order to engineer reliable and safe embedded systems
L1, L2, L3
5 Demonstrate a deeper understanding of the electronics and physical principles used for embedded measuring systems
L1, L2
Detailed Syllabus:
Module No.
Topics Hrs. Cognitive levels
as per Bloom’s
Taxonomy
1 Introduction to Embedded Systems: Characteristics and Design metrics of Embedded system, Challenges in Embedded system Design: Power, Speed and Code density
03
L1, L2
2
Embedded Hardware : Embedded cores, Types of memories, Sensors (Optical encoders, Resistive) and Actuators (Solenoid valves, Relay/switch, Opto-couplers), Power supply considerations in Embedded systems: Low power features, Idle & Power down mode, Sleep mode, Brown-out detection
Communication Interfaces: Comparative study of serial communication interfaces (RS-232, RS-485), I2C, CAN, USB (v2.0), Bluetooth, Zig-Bee. Selection criteria of above interfaces. (Frame formats of above protocols are not expected).
10
L1, L2, L3, L4
3
Embedded Software: Program Modelling concepts: DFG, FSM, UML, Embedded C-programming concepts (from Embedded system point of view): Data types, Modifiers, Qualifiers, Functions, Macros, Interrupt service routine, Device drivers.
10
L1, L2, L3
4
Real-time Operating system: Need of RTOS in Embedded system software, Hard-Soft Real-time systems, real time issues, interrupt latency, Foreground/Background processes, Interrupt latency, Task, Task states, Multi-tasking, Context switching, Task scheduling, Scheduling algorithms-Rate Monotonic Scheduling, Earliest Deadline First, Inter-process communication: Semaphore, Mailbox, Message queues, Event timers, Task synchronisation- Shared data, Priority inversion, Deadlock. Memory Management
Introduction to µCOS II RTOS: Study of Kernel structure of µCOS II, µCOS II functions for Initialisation, Task creation, Inter-task communication and Resource management, Memory management
08
L1, L2, L3
5
System Integration, Testing and Debugging Methodology: Embedded Product Design Life-Cycle (EDLC) Hardware-Software Co-design, Testing & Debugging: Boundary-scan/JTAG interface concepts, Black-Box testing, White-Box testing, Hardware emulation, Logic analyser.
08
L1, L2, L3, L4
6 Case Studies
Soft Real-time: Automatic Chocolate Vending machine using µCOS II RTOS- Requirements study, Specification study using UML, Hardware architecture, Software architecture
Hard Real-time: Car Cruise-Control using µCOS II RTOS- Requirements study, specification study using UML, Hardware architecture, Software Architecture
06
L1, L2, L3
Text & Reference Books:
S. No. Title Authors Publisher Edition Year
1 Embedded System
Design – A unified
hardware and software
introduction
F. Vahid Wiley India 2nd Edition 2002
2 Embedded Systems Rajkamal TMH - -
3 Embedded system design Steve Heath Elsevier - 2003
4 Real time UML, second
edition: Developing
efficient objects for
embedded systems
Bruce Powel Douglas Pearson
Education
3rd Edition 1999
5 Embedded
Microcomputer Systems
– Real Time Interfacing
Jonathan W. Valvano
Cengage Learning 3rd Edition -
6 An Embedded Software
Primer
David E. Simon Pearson
Education
- 2003
Online References
S.
No.
Website Name URL Modules
Covered
1 NPTEL https://onlinecourses.nptel.ac.in/noc20_cs14
M4- M6
2 NPTEL https://onlinecourses.nptel.ac.in/noc20_cs16 M1-M4
3 NPTEL https://nptel.ac.in/content/storage2/courses/108105063/pdf M1-M4
Suggested list of Practical/ Experiments:
Practical
Number
Type of
Experiment
Practical/ Experiment Topic Hrs
.
Cognitive Levels
as per Blooms
Taxonomy
1
Basic
Experiments
Study of ARM based microcontroller boards
(TEXAS Instruments, STM Electronics)
2
L1, L2, L3, L4
2 Embedded C-programming concepts
2
L1, L2, L3
3 Interfacing sensors using MSP430 or ARM
boards (Temperature measurement and
display)
2
L1, L2, L3, L4
4 Interfacing actuators using MSP430 or ARM boards
(speed control using PWM signal)
2
L1, L2, L3, L4
5 Interfacing actuators using MSP430 or ARM boards
(Automatic room temperature control system)
2 L1, L2, L3, L4
6 Design and implementation of FSM 2
L1, L2, L3, L4
7
Design
Experiments
Real time operation system - implement multi-
tasking capabilities of RTOS using µCOS II
2
L1, L2, L3, L4
8 Real time operation system - implement stack
checking feature of RTOS using µCOS II
2 L1, L2, L3, L4
9 Implementing Client server communication
using Raspberry PI
2 L1, L2, L3, L4
10 Advan
ced
Experi
ments
Porting Real Time Operating System on new
hardware
2 L1, L2, L3, L4
11 - 13
Mini/Minor
Projects/
Seminar/
Case Studies
Suggested but not limited to these only-
1. Smart water management system
2. Smart streetlight, Smart parking
3. Remote tracking of vehicles
4. Fingerprint based attendance
systems for institutes
5. Automatic water dispenser system
6. Automatic passport verification system
for airports
6
L1, L2, L3, L4
14 - 15 Group
Presentation
/ Case studies
Suggested but not limited to these only-
1. Case study on soft real time systems
2. Case study on hard real time systems
3. Group presentations on latest
developments in the field of embedded
systems
4. Ubiquitous computing
5. IOT to improve healthcare
4
L1, L2, L3, L4
Total 30Hrs
T.E. Semester –VI (E&TC)
Choice Based Credit Grading Scheme with Holistic Student Development (CBCGS - H 2019)
TCET Autonomy Scheme (w.e.f. A.Y. 2020-21)
B.E. (Electronics & Telecommunication Engineering) T.E. (SEM: VI)
Course Name: Electromagnetic Interference and Compatibility Course Code: PEC-ETC6014
Teaching Scheme (Program Specific) Examination Scheme (Formative/ Summative)
Modes of Teaching / Learning / Weightage Modes of Continuous Assessment / Evaluation
Hours Per Week Theory
(100)
Practical/Oral
(25)
Term Work
(25)
Total
Theory Tutorial Practical Contact
Hours Credits IA ESE PR/OR TW
150
3 - 2@ 5 4 25 75 25
25
IA: In- Semester Examination- Paper Duration –1.5 Hour
ESE: End Semester Evaluation- Paper Duration - 3 Hours
The weightage of marks for evaluation of Term work/ Report: Formative (40%), Timely completion of practical (40%) and
Attendance/Learning Attitude (20%)
Prerequisite: Electromagnetic Engineering
Course Objective: The course objective is to understand basics of EMI/EMC along with knowledge on the
EMI coupling mechanism and its mitigation techniques. It also imparts comprehensive insight about the
current EMC standards and about various measurement techniques
Course Outcomes: Upon completion of the course, students will be able to:
SN
Course Outcomes
Cognitive levels
of attainment as
per Bloom’s
Taxonomy
1 Identify the various types and mechanisms of Electromagnetic Interference
L1, L2, L4
2 Explain different coupling mechanism. L1, L2, L3
3 Propose a suitable EMI mitigation technique L1, L2, L4
4 Propose solution to EMI Sources, EMI problems in PCB level / Subsystem and system level design.
L1, L2, L3,
L4,L5
5 Describe the various EMC Standards and methods to measure them L1, L2, L3
Detailed Syllabus:
Module
No
Topics
Hrs
Cognitive
levels of
attainment as
per Bloom’s
Taxonomy
1
EMI/EMC Concepts
08
L1, L2, L4
Introduction to EMI and EMC, Intra and inter system EMI, Elements of
Interference, Sources and Victims of EMI, Conducted and Radiated EMI
emission and susceptibility, Case Histories, Radiation hazards to
humans, Various issues of EMC, EMC Testing categories, EMC
Engineering Application.
COUPLING MECHANISM
2
Electromagnetic field sources and Coupling paths, Coupling via the
supply network, Common mode coupling, Differential mode coupling,
Impedance coupling, Inductive and Capacitive coupling, Radiative
coupling, Ground loop coupling, Cable related emissions and coupling,
Transient sources, Automotive transients.
10
L1, L2, L3
3
EMI MITIGATION TECHNIQUES
10
L1, L2, L4
Working principle of Shielding and Murphy’s Law, LF Magnetic
shielding, Apertures and shielding effectiveness, Choice of Materials for
H, E, and free space fields, Gasketting and sealing, PCB Level shielding,
Principle of Grounding, Isolated grounds, Grounding strategies for Large
systems, Grounding for mixed signal systems, Filter types and operation,
Surge protection devices, Transient protection.
4
EMC DESIGN FOR CIRCUITS AND PCBS
09
L1, L2, L3, L4
Noise from Relays and Switches; Nonlinearities in Circuits; Cross talk in
transmission line and cross talk control; Component selection and
mounting; PCB trace impedance; Routing; Power distribution
decoupling; Zoning; Grounding; VIAs; Terminations.
5
EMI MEASUREMENTS AND STANDARDS
08
L1, L2, L3, L4 Open area test site; TEM cell; EMI test shielded chamber and shielded
ferrite lined anechoic chamber; Line impedance stabilization networks;
EMI Rx and spectrum analyzer; Civilian standards – CISPR, FCC, IEC,
EN; Military standards-MIL461E/462. Total Hours 45
Books and References:
SN Title Authors Publisher Edition Year
1 Introduction to Electromagnetic compatibility
Clayton R.Paul Wiley & Sons
1992
2 Noise reduction techniques in electronic systems
Henry W.Ott John Wiley & Sons
1989
3 Engineering Electromagnetic Compatibility Systems
V Prasad Kodali Michel Bousquet Wakerly J.F.
IEEE Press, Newyork
2001
4 The Electromagnetic Compatibility Handbook
Dr Kenneth L Kaiser CRC Press 2005
5 Principles of Electromagnetic Compatibility
Bemhard Keiser Artech house, Norwood
3rd Edition
1986
T.E. Semester –VI (E&TC)
Choice Based Credit Grading Scheme with Holistic Student Development (CBCGS - H 2019)
TCET Autonomy Scheme (w.e.f. A.Y. 2020-21)
B.E. (Electronics & Telecommunication Engineering) T.E. (SEM: VI)
Course Name: Speech & Audio Processing Course Code: PEC-ETC6015
Teaching Scheme (Program Specific) Examination Scheme (Formative/ Summative)
Modes of Teaching / Learning / Weightage Modes of Continuous Assessment / Evaluation
Hours Per Week Theory
(100)
Practical/Oral
(25)
Term Work
(25)
Total
Theory Tutorial Practical Contact
Hours Credits IA ESE PR/OR TW
150
3 - 2@ 5 4 25 75 25
25
IA: In- Semester Examination- Paper Duration –1.5 Hour
ESE: End Semester Evaluation- Paper Duration - 3 Hours
The weightage of marks for evaluation of Term work/ Report: Formative (40%), Timely completion of practical (40%) and
Attendance/Learning Attitude (20%)
Prerequisite: Signals & Systems, Discrete Time Signal Processing
Course Objective:
The objective is to deliver the fundamental understanding of speech signal and its analysis, representation and
modeling. The course also aims to provide a foundation for developing applications in this field.
Course Outcomes: Students will be able to
Sr.
No. Course Outcomes
Cognitive levels as
per Bloom’s
Taxonomy
1 Demonstrate knowledge of algorithms related to signal processing L1, L2
2 Demonstrate knowledge of processing speech and audio signals
considering the properties of acoustic signals and human hearing. L1, L2
3 Demonstrate knowledge in digital model representation of speech signal. L1, L2
4 Analyze speech signal to extract the characteristic of vocal tract (formants)
and vocal cords (pitch). L1, L2, L3
5 Analyze speech signal to extract the characteristic of vocal tract in
frequency domain using STFT L1, L2, L3
6
Demonstrate knowledge of predictive coding of speech, audio processing
for Musical applications, speech recognition and Artificial Neural
Networks.
L1, L2
Detailed Syllabus:
Module
No. Topics Hrs.
Cognitive
levels as per
Bloom’s
Taxonomy
1
Speech Production:
6 L1, L2 Speech production and acoustic tube modeling, acoustic phonetics,
anatomy, and physiology of the vocal tract and ear, hearing and
perception.
2 Time Domain Models for Speech Processing 6 L1, L2
Books and References:
Sr.
No.
Title Authors Publisher Edition Year
1 Digital processing of
speech signals
L R Rabiner and S W
Schafer
Pearson
Education 1st 2009
2 Fundamentals of
Speech Recognition
L R Rabiner, B H Juang,
B Yegnanarayana
Pearson
Education 1st 2008
3 Discrete Time Speech
Signal Processing Thomas F Quateri,
Pearson
Education 1st 2006
4 Speech&AudioSignal
Processing Ben Gold and Nelson
Morgan Wiley 1st 2007
5
Speech
Communications Douglas O Shaughnessy
Oxford
University
press
2nd 2000
Time domain parameters of Speech signal – Methods for extracting the
parameters: Energy, Average Magnitude – Zero crossing Rate – Silence
Discrimination using ZCR and energy
3
Frequency Domain Models for Speech Processing
7 L1, L2
Short Time Fourier analysis – Formant extraction – Pitch Extraction
using time and frequency domain methods Homomorphic Speech
Analysis: Cepstral analysis of Speech – Formant and Pitch Estimation
–Homomorphic Vocoders
4
PREDICTIVE ANALYSIS OF SPEECH
10 L1, L2, L3
Formulation of Linear Prediction problem in Time Domain – Basic
Principle – Auto correlation method– Covariance method – Solution of
LPC equations – Cholesky method – Durbin’s Recursive algorithm
– lattice formation and solutions – Comparison of different methods –
Application of LPC parameters– Pitch detection using LPC parameters
– Formant analysis – VELP – CELP
5
AUDIO CODING AND TRANSFORM CODERS
10 L1, L2, L3
Lossless Audio Coding – Lossy Audio Coding - ISO-MPEG-1A, 2A,
2A-Advaned, 4A Audio Coding - Optimum Coding in the Frequency
Domain - Perceptual Transform Coder –Brandenburg - Johnston
Hybrid Coder - CNET Coders - Adaptive Spectral Entropy Coding –
Differential Perceptual Audio Coder - DFT Noise Substitution -DCT
with Vector Quantization -MDCT with Vector Quantization
6
Speech and Audio Processing
6 L1, L2
Vocoder- Voice excited channel vocoder, Voice excited and error
signal excited LPC vocoders. Adaptive predictive coding of speech,
Auditory Modeling. Audio signal processing for Music applications.
Speech recognition pattern comparison techniques, Artificial Neural
Network.
Total Hours 45
Online References:
S.
No.
Website Name URL Modules
Covered
1 http://vlab.amrita.edu/ http://vlab.amrita.edu/index.php?sub=59&brch=164 M3-M5
2 https://swayam.gov.in https://swayam.gov.in/nd1_noc19_ee53/preview M6
Suggested List of Practical/Experiment:
Practical
Number
Type of
Experiment/Tutorial Practical/ Tutorial Topic Hrs.
Cognitive
levels as per
Bloom’s
Taxonomy
1
Basic Experiments/
Tutorials
Non-stationary nature of speech signals 2 L1, L2, L3
2 Pitch Estimation in time domain 2 L1, L2, L3
3 Estimation of ZCR 2 L1, L2, L3
4 Estimation of pitch in Frequency domain 2 L1, L2
5 Estimation of pitch in cepstral domain 2 L1, L2, L3
6 Estimation of formants in cepstral
domain 2 L1, L2, L3
7 Estimation of formants using Log
Spectrum 2 L1, L2, L3
8 Compression of Audio Signals 2 L1, L2, L3
9 Design/Advanced
Experiments
Calculation of MFCC Coefficients 2 L1, L2, L3, L4
10 Synthesis of vowel sequences using
formants 2
L1, L2, L3, L4,
L5, L6
13 & 14
Mini/Minor
Projects/ Seminar/
Case Studies
1. Case study on Predictive coding of
speech
2. Case study on feature extraction
techniques in Speech
3. Case study on Speech Recognition 4. Case Study on Text to Speech
Conversion 5. Implementation of Speech
Recognition
6 L1, L2, L3, L4,
L5
Total 30
T.E. Semester –VI (E&TC)
Choice Based Credit Grading Scheme with Holistic Student Development (CBCGS- H 2019)
TCET Autonomy Scheme (w.e.f. A.Y. 2020-21)
B.E. (Electronics & Telecommunication Engineering) SEM: VI
Course Name: Digital Marketing Course Code: OEC-ETC6011
Teaching Scheme (Program Specific) Examination Scheme (Formative/ Summative)
Modes of Teaching / Learning / Weightage Modes of Continuous Assessment / Evaluation
Hours Per Week Theory
(100)
Practical/Oral
(25)
Term Work
(25)
Total
Theory Tutorial Practical Contact
Hours
Credits IA ESE PR/OR TW
100
3 - - 3 3 25 75 -
-
IA: In-Semester Assessment- Paper Duration – 1.5 Hours
ESE: End Semester Examination- Paper Duration - 3 Hours
Prerequisite: Marketing Fundamentals, Digital Assets, Digital System Setup and automation
Course Objective: The course will transform you into a complete digital marketer with expertise in the top eight digital marketing
domains — search engine optimization, social media, pay-per-click, conversion optimization, digital analytics, content, mobile, and
email marketing. Fast-track your career in digital marketing today with practical training you can apply on the job.
Course Outcomes: Upon completion of the course students will be able to:
Sr.
No.
Course Outcomes Cognitive levels
of attainment as
per Bloom’s
Taxonomy
1 Understand Digital Business Models L1,L2
2 Understand A.I. and machine learning terminologies, mind-set and its application
in marketing
L1,L2
3 Build sophisticated machine learning models – learn how to gather and clean
data, select an algorithm, train, evaluate and deploy a model
L1,L2
4 Predict churn, sales or score leads with tools L1,L2,L5
5 Segment customers; build clustering models to drive personalization. L1,L2,L5,L6
6 Build computer vision models for social visual listening, use natural language
processing to predict consumption preferences.
L2,L5
Detailed Syllabus:
Module
No.
Topics Hrs. Cognitive levels
of attainment as
per Bloom’s
Taxonomy
1 Introduction - Digital Marketing 7 L1,L2
Digital Marketing Skills empowered by AI :SEO, Search Engine
Marketing, Social Media Marketing, Web Analytics, Email
Marketing, Content Marketing, Influencer Marketing, Conversion
Rate Optimization, Tools Based Marketing, Lifecycle Marketing
Automation.
2 Full Funnel Marketing 8 L1,L2,L3
Acquisition: Content marketing, landing page testing, campaign
Books and References:
Sr. No Title Authors Publisher Edition Year
1 Artificial intelligence marketing and
predicting consumer choice: an
overview of tools and techniques
Struhl, S. Kogan Page
Publishers
Third 2017
2 AI for Marketing and Product
Innovation: Powerful New Tools for
Predicting Trends, Connecting with
Customers, and Closing Sales.
Appel, A., Sthan
unathan, S., Pra
deep, A. K.
Wiley. Third 2018
3 Artificial intelligence for marketing:
practical applications
Sterne, J. John Wiley &
Sons
Fourth 2017..
optimization, conversion rate optimization, lead scoring, competition
and trend analysis, predict sales, optimize product pricing,
programmatic media buying, segmentation and clustering for
targeting, personalization.
Activation
Personalization, psychographic
segmentation, behavioral segmentation
Retention
Predict churn, customer care chatbot, sentiment analysis, visual social
listening, personalization
Revenue
Predict and maximize customer lifetime value, recommender systems,
market basket analysis
Referral
Predict whether user recommend your product
3 Marketing framework and tools 8 L1,L2,L3,L5
Planning: HubSpot, Bright edge, Node, Crayon, Equals3,
Marketmuse, Pathmatics, Calibermind, Alegion, Netra
Production: Acrolinx, Narrative Science, Clarifai, GumGum, phrasee,
curate Attention insight
Personalization: Uberflip, Klevu, Seventh Sense, Blueshift,
Promotion: Yext, Albert, Onespot, Cortex, Siftrock, inPowered,
Performance: Monkeylearn, PaveAI,
4
Predictive Analytics 7 L1,L2,L3,L5
Fundamentals of predictive analytics,
Prediction model for lead scoring and sales forecasting, churn
prediction model,
Predictive modelling for customer behavior, automated segmentation
5
Psychographics, NLP and Computer Vision 7 L1,L2,L3,L5
Customer psychographics, leveraging personality traits to predict
consumption preferences using NLP, detect emotions, assign labels,
understand text from images, detect news events, logos using
Computer Vision
6 Futuristic Marketing 8 L2,L3
IoTs Augmented Reality, Virtual Reality and XR for Marketing,
Blockchain and smart contracts for marketing, NeuroMarketing,
Wearable Tech, Personal Chatbots
Total Hours 45
4 Using Artificial Intelligence in
Marketing: How to harness AI and
maintain the competitive edge.
King, K. Kogan Page
Publishers
First 2019
Online References:
Sr.
No.
Website Name URL Modules Covered
1 https://www.iimcal.ac.in/
https://iimcal.talentsprint.com/ai-powered-marketing/index.html?
M1,M2,M3,M4,M5,M6
2 https://www.coursera.org/
https://www.coursera.org/learn/uva-darden-market-analytics
M4,M5,M6
T.E. Semester –VI (E&TC)
Choice Based Credit Grading Scheme with Holistic Student Development (CBCGS - H 2019)
TCET Autonomy Scheme (w.e.f. A.Y. 2020-21)
B.E. (Electronics & Telecommunication Engineering) SEM: VI
Course Name: Software Process Automation Course Code: OEC-ETC6012
Teaching Scheme (Program Specific) Examination Scheme (Formative/ Summative)
Modes of Teaching / Learning / Weightage Modes of Continuous Assessment / Evaluation
Hours Per Week Theory
(100)
Practical/Oral
(25)
Term Work
(25)
Total
Theory Tutorial Practical Contact
Hours
Credits IA ESE PR/OR TW
100 3 - - 3 3 25 75 - -
IA: In-Semester Assessment - Paper Duration – 1.5 Hour
ESE: End Semester Examination - Paper Duration - 3 Hours
The weightage of marks for continuous evaluation of Term work/Report: Formative (40%), Timely completion of practical
(40%) and Attendance / Learning Attitude (20%)
Prerequisite: Object Oriented Programming, Frontend Backend connectivity
Course Objective: The objective of the course is to introduce to the students about the integration people involved in the software process wit h
the development and tools required for automation of the project development.
Course Outcomes: Upon completion of the course students will be able to:
SN Course Outcomes Cognitive levels of
attainment as per Bloom’s
Taxonomy
1 Understand the importance of process automation and models
of software process
L1, L2
2 Analyze the security and configuration management L1, L2, L3,L4
3 Understand and apply the build concepts using a build tool L1, L2, L3,L4
4 Understand the testing concepts and apply them to the project L1, L2, L3,L4
5 Identify the activities in agile project management and use a
tool for the same
L1, L2, L3,L4
6 Understand and identify the various principles of quality
assurance
L1, L2, L3,L4
Detailed Syllabus:
Modul
e No.
Topics Hrs. Cognitive levels
of attainment as
per Bloom’s
Taxonomy
1 Introduction to process Automation
6
L1, L2,L3
Importance of process automation, types of models, prescriptive and
descriptive models, Devops model, process modelling objectives and goals
2 Automation of config management
8
L1, L2, L3,L4
overview of configuration management, Github and git tool
3 Build automation L1, L2, L3,L4
Books and References:
Title Authors Publisher Edition Year
1 The DevOps handbook Gene Kim, Jez Humble, Ptrik
Debois & John Willis
IT revolution
Press
first
Edition
2016
2 Selenium WebDriver 3
Practical Guide: End-to-
end Automation Testing
for Web and Mobile
Browsers with Selenium
WebDriver
Satya Avasarala Packt
Publishing Ltd
Second
Edition
2018
Online Resources:
S.
No.
Website Name /URL Modules Covered
1 Researchgate https://www.researchgate.net/publication/258865356_So
ftware_Process_Definition_and_Management
M6
Overview of build management, Jenkins tool for build management
4
4 Test automation 8 L1, L2, L3
Overview of testing concepts, test cases, selenium tool
5 Project management 8 L1, L2, L3,L4
Project management concepts, agile team, Atlasian jira project
management tool
6 Quality management 11 L1, L2, L3,L4
Quality concepts and metrics, CMMI, ISO, spice, six sigma, Total Quality
management
Total Hours 45
T.E. Semester –VI (E&TC)
Choice Based Credit Grading Scheme with Holistic Student Development (CBCGS - H 2019)
TCET Autonomy Scheme (w.e.f. A.Y. 2020-21)
B.E. (Electronics & Telecommunication Engineering) SEM: VI
Course Name: Essence of Traditional Indian Knowledge Course Code: MC-ETC601
Teaching Scheme (Program Specific) Examination Scheme (Formative/ Summative)
Modes of Teaching / Learning / Weightage Modes of Continuous Assessment / Evaluation
Hours Per Week Theory
(100)
Presentation
(25)
Term
work
(25)
Total
Theory Tutorial Practical Contact
Hours
Credits IA ESE AC AC
25 1 -- -- 1 Non
credit
-- -- -- 25
AC- Activity Evaluation
Total weightage of marks for continuous evaluation of Term work/Report: Formative (40%), Timely
Completion of Practical (40%) and Attendance/ Learning Attitude (20%)
Prerequisite: History, Value Education, Moral Science
Course Objective: The course aims at imparting basic principles of thought process, reasoning and inferencing with
focus on sustainability as the core of Indian Traditional knowledge Systems connecting society and nature. It also
focuses on Holistic life style of yogic science and wisdom important in modern society with rapid technological
advancements and societal disruptions with an introduction to Indian Knowledge Systems, Indian philosophical
traditions, Indian perspective of modern scientific world-view, and basic principles of Yoga and holistic health care
system.
Course Outcomes: Upon completion of the course student will be able to:
Detailed Syllabus:
S.No. Course Outcomes Cognitive levels of
attainment as per
Bloom’s
Taxonomy
1 Develop knowledge of trade and commerce in classical and medieval India. L1, L2
2 Correlate the understanding of Indian Knowledge System with modern
Science.
L1, L2, L3
3 Develop the knowledge of Ancient Indian science and technology and
India’s contribution to the world. L1, L2
4 Know and analyse the effects of colonization on Indian culture and
civilization.
L1, L2, L3,L4
5 Understand the role and position of women in traditional and modern Indian
society
L1, L2
6 Develop the knowledge of Globalization and growth of India Economy since
Independence.
L1, L2, L3, L4
Modu
le No.
Topics Hrs
.
Cognitive levels
of
attainment as
per
Bloom’s
Taxonomy
1 Introduction
2
L1, L2
Ancient India –-– Classical India – Dharma as the bedrock of Indian society –
Trade and commerce in classical and medieval India and the story of Indian
supremacy in the Indian ocean region;
2 Basic structure of Indian Knowledge System
3
L1, L2
The vedas, the vedic society and the Sanatana Dharma, classical sanskrit
literature –
Modern Science and Indian Knowledge System -Yoga and Holistic Health
care
Indian Philosophy – the orthodox (Vaidika) and the heterodox (atheistic)
schools; Ramayana and Mahabharata; Bhagavad Gita;
3 India’s contribution to the world: spirituality, philosophy and
Sciences
2
L1, L2, L3
Saints and sages of India; Ancient Indian medicine: towards an
unbiased perspective; Ancient Indian mathematics; Ancient Indian astronomy;
Ancient Indian science and technology.
4 Indian economy – before and after colonization:
3
L1, L2, L3
What attracted the rest of the world to India? India on the eve of the arrival of
European merchants; The story of colonization and the havoc it wrecked on
Indian culture and civilization; Macaulay and the start of the distortion of Indian
education and history; a brief survey;
The emergence of modern India.
5 Women in Indian society
3
L1, L2, L3
The role and position of women in Hindu civilization; Gleanings from the
Vedas, Brihadarnyaka Upanishad, Saptasati Devi Mahatmyam, Ramayana,
Mahabharata, Manusmriti, Kautilya’s Arthasastra and
Mrichchhakatikam of Sudraka; The role and position of Indian women.
6 Modern India
2
L1, L2,L3
The national movement for freedom and social emancipation; Swami
Vivekananda, Sri Aurobindo, Rabindranath Tagore; Understanding Mahatma
Gandhi; A new nation is born as a republic – the pangs of birth and growth; India
since Independence – the saga of socio- political movements; Problems facing
the nation today; Globalization
and Indian Economy; Bharatavarsha today and the way ahead: Regeneration of
Indian National Resources.
Total Hrs. 15
T.E. Semester –VI (E&TC)
Choice Based Credit Grading Scheme with Holistic Student Development (CBCGS- H 2019)
TCET Autonomy Scheme (w.e.f. A.Y. 2020-21)
B.E. (Electronics & Telecommunication Engineering) SEM: VI
Course Name: Professional Skills VI (R Programming) Course Code: HSD-ETCPS601
Teaching scheme (Holistic Student Development -
HSD) (Conducted in the beginning of Semester
during first 3 Weeks)
Examination Scheme (Formative/Summative)
Modes of Teaching / Learning / Weightage Modes of Continuous Assessment / Evaluation
Hours Per Week Presentation Report Total
Theory Tutorial Practical Contact
Hours
Credit AC AC
75
15 - 30 45 2 50 25
AC- Activity Evaluation
The weightage of marks for continuous evaluation of Term work/Report: Formative (40%), Timely completion
of practical (40%) and Attendance/Learning Attitude (20%)
Prerequisite: Basics Programming Knowledge
Course Objective: The objective of the course is to give an understanding the basics of R Programming and apply R for various Statistical and Machine Learning Applications. Course Outcomes: Upon completion of the course, students will be able to:
S.N. Course
Outcomes
Cognitive level
attainment as per
revised Bloom’s
Taxonomy
1 Understand different features of R and its applications L1, L2
2 Execute various Operation sin R using different Datatypes L1, L2, L3, L4
3 Create programs in R involving Conditional Statements & Loops L1, L2, L3, L4
4 Use Strings & Functions in R Programming L1, L2, L3, L4, L5
5 Understand the concept of List & Vectors in R. L1, L2, L3, L4
6 Visualize data through various Pie charts, Bar graphs, Box Plots and Histograms L1, L2, L3, L4, L5
Detailed Syllabus:
Module
No.
Topics Hrs
.
RBT Levels
1 Introduction to R Programming 2 L1, L2
Evolution of R, Features of R, R Studio, R Command Prompt, Comments,
Basic Syntax, R scripts, Applications of R
2 Datatypes & Operators in R
3
L1, L2, L3, L4
Numeric, Integer, Complex, Logical, Character, Operators used in R,
Arithmetic Operator: Subtract, Multiply, Divide, Modulus, Relational
Operator: Greater than, Less than, Equals, Less than or equals, Greater than or
equals, Not equals, Logical Operators: AND, OR , NOT, Assignment Operator
Books & References:
SN Title Authors Publisher Edition Year
1 R for Data Science Garrett Grolemund,
Hadley Wickham
O'Reilly Media, Inc.
I 2016
2 Advanced R Hadley Wickham
CRC Press
I 2018
3 Introduction to
Statistical Learning
Gareth James, Daniela
Witten, Trevor Hastie, and
Robert Tibshirani
Springer III 2018
Online References:
3 Conditional Statements & Loops in R 3 L1, L2, L3, L4
Types of Flow Control in R, If Statement, If else Statement, Switch
Statement, Loops: Repeat Loop, While Loop, For Loop
4 Strings, Functions & Lists in R
3
L1, L2, L3,
L4, L5
Function Definition, Function Components, Built-in Functions, User defined
function, calling a Function, Rules applied in String Construction, String
Manipulation, creating a list, Naming List Elements, Accessing List Element,
Manipulating List Elements, Merging Lists
5 Vectors, Matrices & Arrays in R
2
L1, L2, L3, L4
Vector Creation, Accessing Vector Elements, Vector Manipulation,
Accessing Elements of Matrix, Matrix Computation, Naming Columns and
Rows, Accessing Array Elements, Manipulating Array Elements
6 Data Visualization
2
L1, L2, L3,
L4, L5
R Data Visualization, R Pie Charts, R Bar Charts, R Boxplot, R Histogram, R
Line Graphs, R Scatterplots
S. No. Website Name URL Modules
Covered
1 Tutorial Point https://www.tutorialspoint.com M1-M6
2 Data Camp www.datacamp.com M1-M3, M6
3 R Studio www.rstudio.com M1-M4
T.E. Semester –VI (E&TC)
Choice Based Credit Grading Scheme with Holistic Student Development (CBCGS - H 2019)
TCET Autonomy Scheme (w.e.f. A.Y. 2020-21)
B.E. (Electronics & Telecommunication Engineering) SEM: VI
Course Name: Project Based Learning IV Course Code: HSD-ETCPBL 601
Teaching scheme (Holistic Student Development - HSD)
(Conducted in the beginning of Semester during first 3
Weeks)
Examination Scheme (Formative/ Summative)
Modes of Teaching / Learning / Weightage Modes of Continuous Assessment / Evaluation
Teaching scheme (Holistic and Multidisciplinary
Education - HME)
(Conducted in the beginning of the semester during first 3
weeks)
Presentation Report Total
Theory Tutorial Practical Contact Hours Credits AC AC
25 - - 30 30 1
25
-
AC: Activity Evaluation The weightage of marks for continuous evaluation of Term work/Report: Formative (40%),
Timely completion of practical (40%) and Attendance/Learning Attitude (20%)
Prerequisite: Electronic Devices and Circuits, Digital Electronics, Computer Programming, Microprocessor
Course Objectives:
The course intends to develop the ability to integrate knowledge and skills from various areas through more
complex and multidisciplinary projects. The course also aims to build 21st century success skills such as
critical thinking, problem solving, communication, collaboration, and creativity/innovation.
Course Outcomes:
Upon completion of the course students will be able to:
Sr.
No.
Course outcomes Cognitive levels of
attainment as per
Bloom’s Taxonomy
1 Think divergently to solve real time problem through project management and
with knowledge of different domains to implement a unique solution. L1, L2, L3, L4, L5, L6
A) Guidelines:
1. Project Topic: To proceed with the project work it is very important to select a right topic.
Project topics can be undertaken based on the learnings from:
1) Professional Skill V (Industry Skills/Research Skills))
2) Employability Skill Development III
3) Multidisciplinary projects in any domain of electronics and telecommunication program.
Department has six domains namely
i) Electronic Devices and Modeling
ii) Communications Engineering
iii) Antenna and Microwave Engineering
iv) Signal processing
v) Information Technology and
vi) Embedded System.
2. Student must consult internal guide in selection of topic.
3. Project work must be carried out by a group of at least two students and maximum four.
Students can continue their previous projects and can add new dimension to it.
4. Students should carry out project work every week according to time table and report to the
internal guide regarding the progress of the project.
5. Internal guide has to keep track on the progress of the project and also has to maintain
attendance report. This progress report can be used for awarding the term work marks.
6. At the end of the term students should demonstrate the working of the project with the help of
a working model.
B) Proposed Presentation Format:
At the end of semester, a project presentation can preferably contain following details.
1. Abstract
2. Introduction
3. Literature Survey a) Survey Existing system b) Limitation of the Existing system or research gap
c) Problem Statement and Objective) Scope
4. Proposed System a) Analysis/Framework/ Algorithm b) Details of Hardware & Software c)
Design details d) Methodology (your approach to solve the problem)
5. Results/Output (photograph of working model)
6. Conclusion
7. Reference
C) Term Work: Distribution of marks for term work shall be as follows:
a) Weekly Attendance as per time table
b) Contribution in the Project work
c) Project Report
d) Term End Presentation
D) Oral & demonstration: Oral & Practical examination of Project should be conducted by Internal and External examiners.
T.E. Semester –VI (E&TC)
Choice Based Credit Grading Scheme with Holistic Student Development (CBCGS- H 2019)
TCET Autonomy Scheme (w.e.f. A.Y. 2020-21)
B.E. (Electronics & Telecommunication Engineering) SEM: VI
Course Name: Research Based Learning-II Course Code: HSD-ETCRBL601
Teaching scheme (Holistic Student Development -
HSD) (Conducted in the beginning of Semester
during first 3 Weeks)
Examination Scheme (Formative/ Summative)
Modes of Teaching / Learning / Weightage Modes of Continuous Assessment / Evaluation
Hours Per Week Theory
(100)
Presentation Report Total
Theory Tutorial Practical Contact
Hours
Credits IA ESE AC AC
50
- - 30 30 1 - - 25
25
AC: Activity Evaluation
The weightage of marks for continuous evaluation of Term work/Report: Formative (40%), Timely
completion of practical (40%) and Attendance/Learning Attitude (20%)
Prerequisite: Subject knowledge, Domain knowledge.
Course Objectives: This course is focused to engage the learner in research using critical thinking, problem
solving, coding and technical writing related to upcoming latest technologies.
Course Outcomes: Upon completion of the course students will be able to:
Sr.
No.
Course Outcome Cognitive level
attainment as per
revised Bloom
Taxonomy
1 Upgrade the knowledge of latest technologies and developments in their
domain.
L1, L2
2 Develop prototype based on idea which providing solutions to industry,
research organization, academic organization, community or society as a
whole.
L1, L2, L3,L4,l5,L6
3 Design and develop the code /model for given problem definition in a
competitive environment and contribute for grants.
L1, L2, L3,L4,l5,L6
4 Write a research paper and understand technical writing. L1, L2, L3,L4,l5
Detailed Syllabus:
Module
No.
Topics Cognitive level
attainment as
per revised
Bloom
Taxonomy
1 Participation in online community/Forums/writing Blogs L1, L2
I. Registration on online community/forum/follow blogs /Twitter etc.
Creating own Blogs and LinkedIn profile.
Misevaluation is based on report submission on activities learned through
registration on various platforms. Submission of LinkedIn profile address,
Blog URL by Students is recommended.
Presentation and Evaluation
2 Prototype development/ Mathematical model development based on
Idea
L1, L2,
L3,L4,l5,L6
I. Prototype development: Introduction to Research Methodology
techniques. Introduction and importance of prototype development.
Transforming Idea into prototype with implementation/working model.
II. Presentations by students, Experience sharing by entrepreneurs or
Hackathon Winners.
Presentation and Evaluation
3 Building Competitive Attitude L1, L2,
L3,L4,l5,L6 I. Participation in Project competitions/Coding competitions/Working
for research grant/Consultancy:
a) Participating at institute/National level/University level/ Conference
/participate in competitions.
b) Participation in funded project/consultancy projects
c) Experience sharing by good coders/winners
II. Evaluation based on Presentation/Certificates/Grant
received/Consultancy received.
Presentation and Evaluation
4 Research Paper Publication L1, L2,
L3,L4,L5,L6 I. Introduction to Research paper writing: Write a paper/case study
considering review of literature based on idea and developed prototype.
II. Publishing: Identification of appropriate journal or conference at
University level/State level/National level for submission and Preparation
of a review paper.
Evaluation of Research paper based on quality and acceptance of
research paper.
Books and References:
Sr. No. Title Authors Publisher Edition Year
1 Guide to Competitive Programming:
Learning and Improving Algorithms
Through Contests
Antti
Laaksonen
Springer Kindle 2018
2 Writing Research Papers: A
Complete Guide
James D. Lester Longman 10th 2001
3 Creativity in Product Innovation
Jacob
Goldenberg
Cambridge
University
Press
Kindle 2002
Online References:
Sr. No. Website Name URL Modules
Covered
1 https://www.researchgate.net https://www.researchgate.net/publication/2243729
98_Idea_Generation_Techniques_among_Creative
_Professionals
M2
2 https://discuss.codechef.com https://discuss.codechef.com/t/programming-
contest-detailed-syllabus-along-with-example-
problems/17791
M3
3 https://www.statpac.com https://www.statpac.com/online-software-
manual/Basic-Research-Concepts.htm
M4
4 https://www.slideshare.net https://www.slideshare.net/AsirJohnSamuel/1intro
duction-to-research-
methodology?next_slideshow=1
M4