master of technology (m.tech.) in electronics and
TRANSCRIPT
Master of Technology
(M.Tech.)
in
Electronics and Telecommunication Engineering
Scheme with Description
Academic Year 2020-21
Department of Electronics and Telecommunication Engineering
Ramrao Adik Institute of Technology
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
2
Semester I
Subject Code Subject Name
Teaching Scheme
(Contact Hours/week) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
MTETC101 Statistical Signal Processing 03 -- -- 03 -- -- 03
MTETC102 Broadband Wireless Technology 03 -- -- 03 -- -- 03
MTETDLO101X Department Level Elective-1 03 -- -- 03 -- -- 03
MTETDLO102X Department Level Elective-2 03 -- -- 03 -- -- 03
MTILO101X Institute Level Elective-1 03 -- -- 03 -- -- 03
MTETDLOL101X Department Level Elective-1 Lab -- 02 -- -- 01 -- 01
MTETDLOL102X Department Level Elective-2 Lab -- 02 -- -- 01 -- 01
Total 15 04 -- 15 02 -- 17
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
3
Subject Code Subject Name
Examination Scheme
Theory Marks Term
Work
Pract.
/Oral Total
In-Sem Evaluations End
Sem
Exam
Exam
Duration
(in Hrs)
IA1 IA2
Avg.
of 2
IAs
Mid
Sem
Exam
MTETC101 Statistical Signal Processing 20 20 20 20 60 02 -- -- 100
MTETC102 Broadband Wireless Technology 20 20 20 20 60 02 -- -- 100
MTETDLO101X Department Level Elective-1 20 20 20 20 60 02 -- -- 100
MTETDLO102X Department Level Elective-2 20 20 20 20 60 02 -- -- 100
MTILO101X Institute Level Elective-1 20 20 20 20 60 02 -- -- 100
MTETDLOL101X Department Level Elective-1 Lab -- -- -- -- -- -- 25 25 50
MTETDLOL102X Department Level Elective-2 Lab -- -- -- -- -- -- 25 25 50
Total 100 100 100 100 300 -- 50 50 600
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
4
Semester II
Subject Code Subject Name
Teaching Scheme (Contact
Hours/week) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
MTETC201 Advanced Digital Communication 03 -- -- 03 -- -- 03
MTETC202 RF and Microwave Engineering 03 -- -- 03 -- -- 03
MTETDLO203X Department Level Elective-3 03 -- -- 03 -- -- 03
MTETDLO204X Department Level Elective-4 03 -- -- 03 -- -- 03
MTILO202X Institute Level Elective-2 03 -- -- 03 -- -- 03
MTETDLOL203X Department Level Elective-3 Lab -- 02 -- -- 01 -- 01
MTETDLOL204X Department Level Elective-4 Lab -- 02 -- -- 01 -- 01
Total 15 04 -- 15 02 -- 17
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
5
Subject Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End
Sem
Exam
Exam
Duration
(in Hrs) IA1 IA2
Avg.
of 2
IAs
Mid
Sem
Exam
MTETC201 Advanced Digital Communication 20 20 20 20 60 02 -- -- 100
MTETC202 RF and Microwave Engineering 20 20 20 20 60 02 -- -- 100
MTETDLO203X Department Level Elective-3 20 20 20 20 60 02 -- -- 100
MTETDLO204X Department Level Elective-4 20 20 20 20 60 02 -- -- 100
MTILO202X Institute Level Elective-2 20 20 20 20 60 02 -- -- 100
MTETDLOL203X Department Level Elective-3 Lab -- -- -- -- -- -- 25 25 50
MTETDLOL204X Department Level Elective-4 Lab -- -- -- -- -- -- 25 25 50
Total 100 100 100 100 300 -- 50 50 600
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
6
Department Electives for Semester – I & II
Semester
I
Semester
I
Semester
II
Semester
II
Department Elective I
MTETDLO101X
Department Elective II
MTETDLO102X
Department Elective III
MTETDLO203X
Department Elective IV
MTETDLO204X
Estimation and Detection Theory
MTETDLO1011
Wireless Optical Communication
MTETDLO1021
Error Correcting Codes
MTETDLO2031
MIMO Wireless Communication
MTETDLO2041
Ad-hoc Wireless Networks
MTETDLO1012
Next Generation Networks
MTETDLO1022
Network Performance Modeling
and Simulation
MTETDLO2032
Network & Cyber Security
MTETDLO2042
Advanced Digital Signal Processing
MTETDLO1013
Artificial Intelligence & Machine
Learning
MTETDLO1023
Image Processing and Computer
Vision
MTETDLO2033
Data Science
MTETDLO2043
Computational Electromagnetics
MTETDLO1014
Microwave Circuits
MTETDLO1024
Antenna Analysis & Synthesis
MTETDLO2034
Microwave Measurements &
Design
MTETDLO2044
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
7
Institute Electives for Semester – I & II
Semester
I
Semester
II
Institute Elective I
MTILO101X
Institute Elective II
MTILO202X
Optimization Techniques in Problem Solving
MTILO1011
Research Methodology
MTILO2021
Cyber and Data Laws
MTILO1012
Probability and Random Variables
MTILO2022
Product Lifecycle Management
MTILO1013
Project Management
MTILO2023
Entrepreneurship Development and
Management
MTILO1014
Disaster Management and Mitigation Measures
MTILO2024
Renewable Energy Systems
MTILO1015
Financial Management
MTILO2025
Design of Experiments
MTILO1016
IPR and Patenting
MTILO2026
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
8
Semester III
Subject Code Subject Name
Teaching Scheme
(Contact Hours/week) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
MTETS301 Special Topic Seminar -- 06 -- -- 03 -- 03
MTETD302 M. Tech Thesis Dissertation I -- 24 -- -- 12 -- 12
Total -- 30 -- -- 15 -- 15
Subject Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/ Oral Total
In-Sem Evaluations End
Sem
Exam IA1 IA2
Avg.
of 2
IAs
MTETS301 Special Topic Seminar -- -- -- -- 50 50 100
MTETD302 M. Tech Thesis Dissertation I -- -- -- -- 50 50 100
Total -- -- -- -- 100 100 200
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
9
Semester IV
Subject Code Subject Name
Teaching Scheme
(Contact Hours/week) Credits Assigned
Theory Pract. Tut. Theory Pract Tut. Total
MTETD401 M. Tech Thesis Dissertation II -- 30 -- -- 15 -- 15
Total -- 30 -- -- 15 -- 15
Subject Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract/
Oral Total
In-Sem Evaluations End
Sem
Exam IA1 IA2
Avg.
of 2
IAs
MTETD401 M. Tech Thesis Dissertation II -- -- -- -- 100 100 200
Total -- -- -- -- 100 100 200
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
10
Syllabus
for
Semester I
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
11
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTETC101 Statistical Signal
Processing 03 -- -- 03 -- -- 03
Subject Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration
(in Hrs) IA1 IA2 Avg. of 2
IAs
Mid Sem
Exam
MTETC101 Statistical Signal
Processing 20 20 20 20 60 02 -- -- 100
Course Pre-requisite:
Matrix theory
Fundamentals of probability
Signals and systems
Course Description:
This course helps students to understand basic concepts of probability theory, Random variables, Random processes, discrete- and continuous-time random processes Analysis and processing of random signals, Response of linear systems to random signals, Response of linear systems to random signals, it explores the topic of estimation and its performance evaluation.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
12
Course Objectives:
The aim of this course is to provide knowledge of statistical techniques necessary to explain and explore the important applications
in signal processing and telecommunication.
Course Outcome:
Learners will be able to:
CO1: Understand the basics of linear algebra in communication engineering.
CO2: Apply appropriate statistical tools for handling the design and analysis of systems that involve randomness.
CO3: Analyze random processes for LTI systems and estimation theory.
CO4: Analyze LTI systems for random inputs
CO5: Understand estimation problem and use appropriate technique
CO6: Evaluate performance of estimators for the given problem.
Module No. Detailed Content Hrs. CO
1
Linear Algebra Concepts
Positive definite matrix, matrix representation of least squares, geometry of linear equations, four
fundamental subspaces of linear operator, properties of matrix inverses, results on matrix rank,
pseudo inverses, matrix condition number, singular value decomposition (SVD) and Principal
component analysis (PCA).
9 CO1
2
Review of Random Variables
Random variables, distribution and density function, functions of random variables, sums of
independent random variables, central limit theorem, Discrete and mixed random variables. 5 CO2
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
13
Textbooks and References:
1. Dimitris. G. Manolakis, Vinay Ingale, and Stephen M. Kogon, “Statistical and Adaptive Signal Processing”, Artech House, Inc.,
2005.
2. Steven M. Kay, “Fundamentals of Statistical Signal Processing: Estimation Theory Vol 1”, Prentice Hall, Englewood Cliffs, NJ,
2010.
3. A. Papoulis and S.U. Pillai, “Probability, Random Variables and Stochastic Processes”, 4th Edition, McGraw-Hill, 2002.
4. H. Stark and J. W. Woods, “Probability and Random Processes with Applications to Signal Processing”, 3rd ed., Pearson
Education.
5. Todd K. Moon and Wynn C. Stirling, “Mathematical Methods and Algorithms for Signal Processing”, Pearson Education, Inc., 2000.
3
Discrete-time Random Processes
Discrete time stochastic process, stationarity, random signal variability, time averages,
ergodicity, autocorrelation function of a real WSS process and its properties, cross-correlation
function, frequency domain description of stationary process, general correlation matrices,
correlation matrices from random process and correlation matrices of stationary process.
5 CO3
4
Analysis and processing of random signals
Linear time invariant system with WSS process as an input: stationarity of the output, auto-
correlation and power-spectral density of the output; examples with white-noise as input; linear
shift-invariant discrete-time system with WSS sequence as input, examples of random processes:
white noise process and white noise sequence; Gaussian process.
8 CO4
5
Principles of Estimation Theory
Estimation in signal processing, the mathematical estimation problem, assessing estimator
performance, unbiased and consistent estimators, confidence interval, efficient estimator,
minimum variance unbiased estimation and existence of minimum variance unbiased estimator.
7 CO5
6
Estimator Accuracy Considerations
Cramer-Rao lower bound (CRLB) theorem, computation of CRLB for different examples and
general CRLB for signals in white-Gaussian noise. 5 CO6
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
14
Evaluation Scheme:
1) In-Semester Assessment:
Assessment consists of two Internal Assessments (IA1, IA2) out of which; one should be compulsory class test (on minimum
02 Modules) and the other is a class test / assignment on case studies / course project.
Mid Semester Examination (MSE) will be based on 40-50% of the syllabus.
2) End-Semester Examination:
Question paper will comprise of full syllabus.
In the question paper, weightage of marks will be proportional to the total number of
lecture hours as mentioned in the syllabus.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
15
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTETC102 Broadband Wireless Technology 03 -- -- 03 -- -- 03
Subject Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration
(in Hrs) IA1 IA2 Avg. of 2
IAs
Mid Sem
Exam
MTETC102 Broadband Wireless
Technology 20 20 20 20 60 02 -- -- 100
Course Pre-requisite:
Wireless communication
Computer Communication Networks
Course Description:
In this course, the students will be trained to understand mobile radio communication principles, recent trends adopted in cellular
systems and wireless standards. Learners will be able to discuss the cellular system design and technical challenges, analyze Mobile
radio propagation, fading, diversity concepts and the channel modelling, design parameters, link design, smart antenna, beam forming
and MIMO systems, Multiuser Systems, CDMA, WCDMA network planning and OFDM Concepts, applications of wireless systems
and standard.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
16
Course Objectives:
The aim of this course is
To expose the students to understand mobile radio communication principles
To study the recent trends adopted in cellular systems and wireless standards.
Course Outcomes:
Learners will be able to:
CO1: Understand the cellular system design and technical challenges.
CO2: Analyze Mobile radio propagation, fading, diversity concepts and the channel modelling.
CO3: Evaluate the design parameters and link design.
CO4: Evaluate and analyze smart antenna, beamforming and MIMO systems.
CO5: Analyze Multiuser Systems, CDMA, WCDMA network planning and OFDM Concepts.
CO6: Summarize the principles and applications of wireless systems and standard.
Module No. Detailed Content Hrs.
CO
1
Introduction to Wireless Communication:
The Cellular concept, System design, Capacity improvement in cellular systems, Co channel
interference reduction. Intelligent cell concept and applications. Technical Challenges.
06 CO1
2
Mobile Radio Propagation:
Reflection, Diffraction. Fading. Multipath Propagation. Channel modelling, Diversity
Schemes and Combining Techniques.
06 CO2
3 Design Parameters at the Base Station: Practical link budget design using path loss models.
Network design. 05 CO3
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
17
4 Design Parameters for Smart antenna systems: Beam forming. MIMO Systems. MIMO
antenna 05 CO4
5
Multiuser Systems:
CDMA- Principle, RAKE receiver.Link capacity, Power control, WCDMA-Network planning,
MC-CDMA, OFDM.
10 CO5
6 Cellular mobile communication beyond 3G: UMTS, WLAN, WPAN, WMAN, Ultra
Wideband communications, 4G and beyond 4G. 07 CO6
Textbooks and References:
1. A.F. Molisch, “Wireless Communications”, Wiley, 2005.
2. A. Goldsmith, “Wireless Communications”, Cambridge University Press, 2005.
3. P. Muthu Chidambara, Nathan, “Wireless Communications”, PHI, 2008.
4. Ke-Lin Du, M. N. S. Swamy, “Wireless Communication Systems”, Cambridge University
Press, 2010.
5. K. Fazel, S. Kaiser, “Multi-carrier and Spread Spectrum Systems”, Wiley, 2003
6. S.G. Glisic, “Advanced Wireless Communications”, 4G Technologies, Wiley, 2004.
7. W. C. Y. Lee, “Mobile Communication Engineering”, 2nd ed., McGraw- Hill, 1998.
8. S.G. Glisic, “Adaptive CDMA”, Wiley, 2003.
Evaluation Scheme:
1) In-Semester Assessment:
Assessment consists of two Internal Assessments (IA1, IA2) out of which; one should be compulsory class test (on
minimum 02 Modules) and the other is a class test / assignment on case studies / course project.
Mid Semester Examination (MSE) will be based on 40-50% of the syllabus.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
18
2) End-Semester Examination:
Question paper will comprise of full syllabus.
In the question paper, weightage of marks will be proportional to the total number of
lecture hours as mentioned in the syllabus.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
19
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTETDLO1011 Estimation and Detection Theory 03 -- -- 03 -- -- 03
Subject Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration
(in Hrs) IA1 IA2 Avg. of 2
IAs
Mid Sem
Exam
MTETDLO1011 Estimation and
Detection Theory 20 20 20 20 60 02 -- -- 100
Course Pre-requisite: Course on computer programming
Course on calculus
Probability Theory and Random Processes
Course Description:
The aim of this course is to enable the student to understand the basic principles of random signal processing, spectral estimation methods
and their applications different signal detection and estimation methods such as Bayesian parameter estimation, optimal filtering, linear
estimation, and Wiener/Kalman filtering etc. used in communication system design and the implications of proper synchronization
methods for proper functioning of the system.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
20
Course Objectives:
The aim of this course is:
To enable the student to understand the basic principles of random signal processing, spectral estimation methods and their
applications.
To enable the student to understand the different signal detection and estimation methods used in communication system design and
the implications of proper synchronization methods for proper functioning of the system.
Course Outcome: Learners will be able to:
CO1: Summarize the fundamental concept on Statistical Decision Theory and Hypothesis Testing.
CO2: Summarize the various signal estimation techniques with additive noise.
CO3: Summarize with Bayesian parameter estimation.
CO4: Compare optimal filtering, linear estimation, and Wiener/Kalman filtering.
CO5: Construct Wiener and Kalman filters (time discrete) and state space models.
CO6: Demonstrate the signal detection procedures.
Module No. Detailed Content Hrs. CO
1 Binary hypothesis testing; Bayes, minimax and Neyman-Pearson tests. Composite hypothesis testing. 05 CO1
2
Signal detection in discrete time:
Models and detector structures. Coherent detection in independent noise. Detection in
Gaussian noise. Detection of signals with random parameters.
06
CO2
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
21
3
Detection of stochastic signals.
Performance evaluation of signal detection procedures, Tests for Stationarity and
Ergodicity. 06 CO3
4
Bayesian parameter estimation;
MMSE, MMAE and MAP estimates. Non-random parameter estimation. Exponential
families. Completeness theorem. ML estimation. Information inequality. Asymptotic
properties of MLEs.
08 CO4
5 Signal detection in continuous time:
Detection of deterministic signals in Gaussian noise. Coherent detection in white
Gaussian noise. 08 CO5
6 Estimator Accuracy Considerations:
Cramer-Rao lower bound (CRLB) theorem, computation of CRLB for different
examples, general CRLB for signals in white-Gaussian noise 06 CO6
Textbooks and References:
1. H. V. Poor, “An Introduction to Signal Detection and Estimation”, 2nd ed., Springer, 1994.
2. B. C. Levy, “Principles of Signal Detection and Parameter Estimation”, Springer, 2008.
3. H. L. Vantrees, “Detection, Estimation and Modulation theory”, Part I, Wiley,1987.
4. M. D. Srinath & P. K. Rajasekaran, “Statistical Signal Processing with Applications”, Wiley, 1979.
5. J. C. Hancock & P.A. Wintz, “Signal Detection Theory”, Mc-Graw Hill, 1966.
Evaluation Scheme:
1) In-Semester Assessment:
Assessment consists of two Internal Assessments (IA1, IA2) out of which; one should be compulsory class test (on minimum
02 Modules) and the other is a class test / assignment on case studies / course project.
Mid Semester Examination (MSE) will be based on 40-50% of the syllabus.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
22
2) End-Semester Examination:
Question paper will comprise of full syllabus.
In the question paper, weightage of marks will be proportional to the total number of
lecture hours as mentioned in the syllabus.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
23
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTETDLOL1011 Estimation and Detection Theory
Lab -- 02 -- -- 01 -- 01
Subject Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration
(in Hrs) IA1 IA2 Avg. of 2
IAs
Mid Sem
Exam
MTETDLOL1011 Estimation and
Detection Theory Lab -- -- -- -- -- -- 25 25 50
List of Suggested Experiments:
Any 8 experiments based on the entire syllabus.
Assessment:
End Semester Examination: Practical/Oral examination is to be conducted by a pair of an internal and an external examiner.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
24
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTETDLO1012 Ad-hoc Wireless Networks 03 -- -- 03 -- -- 03
Subject Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration
(in Hrs) IA1 IA2 Avg. of 2
IAs
Mid Sem
Exam
MTETDLO1012 Ad-hoc Wireless
Networks 20 20 20 20 60 02 -- -- 100
Course Pre-requisite: • Computer Networks • Wireless Networks
Course Description:
The aim of this course is to let the students to understand the Wireless adhoc and sensor Network, major challenges and designing
issues in designing wireless sensor and adhoc networks, various MAC and routing protocols, Heterogeneous network architecture
including MANET, WLAN, Cellular Networks.
Course Objectives:
The aim of this course is to let the students • To understand the Wireless adhoc and sensor Network. • To understand the major challenges and designing issues in designing wireless sensor and adhoc networks. • To understand various MAC and routing protocols in wireless sensor and adhoc networks. • To Understand Heterogeneous network architecture including MANET, WLAN, Cellular Networks.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
25
Course Outcome: Learners will be able to:
CO1: Understand the concept of adhoc network.
CO2: Understand the wireless sensor networks and their applications.
CO3: Evaluate performance of various protocols in wireless sensor and adhoc networks.
CO4: Analyze the different pattern for Wireless network.
CO5: Understand TCP performance over adhoc network.
CO6: Evaluate design consideration of cellular Network and WSN.
Module No. Detailed Content Hrs. CO
1
Introduction Adhoc Network
Challenges and Applications of MANET, Architecture and Challenging
technologies.Wireless LAN, Wireless PAN, Wireless BAN. 06 CO1
2
Wireless Sensor Network
Design issues and application of sensor Network, Sensing and Communication Range,
Energy and Clustering of sensors, Wireless mesh Network.
05 CO2
3
Routing in Adhoc Networks
Introduction, Topology-Based versus Position-Based Approaches, Topologies-Based
Routing Protocols, Position-Based Routing, Other Routing Protocols.
05
CO3
4
Broadcasting, Multicasting, Geocasting and QoS in MANET
Introduction, The Broadcast Storm, Multicasting, Geocasting, QOS requirements, objectives
and Architecture. 10 CO4
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
26
5
Integrating MANETs, WLANs and Cellular Networks
Introduction, Ingredients of a Heterogeneous, Architecture, Protocol Stack, Comparison of
the Integrated Architectures.
07 CO5
6
Design Consideration in Sensor Network
Introduction, Classifications of WSNs, MAC Layer, Routing Cognitive Radio based sensor
Networks. Nano Sensor Networks.
06 CO6
Textbooks and References:
1. Cordeiro, Agrawal, “Adhoc & Sensor Networks Theory and Applications”, Cambridge University Press India Pvt. Ltd, Edition
2010.
2. C. Siva Ram Murthy and B. S. Manoj, “Adhoc Wireless Networks Architecture and Protocols”, Pearson.
3. Houda Labiod, “Adhoc & Sensor Networks”, Wiley.
4. Vijay Garg, “Wireless Communication and Networking”, Elsevier Inc.
5. Manvi, Kakkasageri, “Wireless and Mobile Networks, Concepts and Protocols”, 2nd ed., Wiley.
Evaluation Scheme:
1) In-Semester Assessment:
Assessment consists of two Internal Assessments (IA1, IA2) out of which; one should be compulsory class test (on minimum
02 Modules) and the other is a class test / assignment on case studies / course project.
Mid Semester Examination (MSE) will be based on 40-50% of the syllabus.
2) End-Semester Examination:
Question paper will comprise of full syllabus.
In the question paper, weightage of marks will be proportional to the total number of
lecture hours as mentioned in the syllabus.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
27
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTETDLOL1012 Ad-hoc Wireless Networks Lab -- 02 -- -- 01 -- 01
Subject Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration
(in Hrs) IA1 IA2 Avg. of 2
IAs
Mid Sem
Exam
MTETDLOL1012 Ad-hoc Wireless
Networks Lab -- -- -- -- -- -- 25 25 50
List of Suggested Experiments:
1. To study briefly Simulator or Software NS2, NS3, MATLAB/SCILAB, NETSIM, etc.
2. Implementation /Simulation of any two Routing Protocols in Adhoc Networks.
3. Implementation /Simulation of any two Routing Protocols in Wireless Sensor Networks.
4. Implementation /Simulation of any two MAC Protocols in Wireless Sensor Networks.
5. Case study on Cognitive Radio based sensor Networks.
6. Case study on Nano Sensor Networks.
7. Study and Implementation of technical paper from the reputed Journal related to Adhoc and Wireless Sensor Networks by using
any Simulator/tool.
8. Virtual lab experiments on WSN.
9. Implementing one hardware project related to WSN.
Any 8 experiments have to be performed.
Assessment:
End Semester Examination: Practical/Oral examination is to be conducted by a pair of an internal and an external examiner.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
28
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTETDLO1013 Advanced Digital Signal Processing 03 -- -- 03 -- -- 03
Subject Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration
(in Hrs) IA1 IA2 Avg. of 2
IAs
Mid Sem
Exam
MTETDLO1013 Advanced Digital Signal
Processing 20 20 20 20 60 02 -- -- 100
Course Pre-requisite:
Discrete Time Signal Processing
Course Description:
The aim of this course is to provide in-depth treatment on methods and techniques in Power spectrum estimation, Adaptive filtering,
Wavelet transforms, applications of Signal Processing to real world problems, implement adaptive filters for a given application;
study and apply the techniques of power spectrum estimation and wavelet theory for various applications, Multirate DSP, Spectrum
estimation & analysis, Computer architecture for signal processing, apply Signal processing tools to biomedical signal processing
and musical sound Processing.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
29
Course Objective:
The aim of this course is to provide in-depth treatment on methods and techniques in
Power spectrum estimation.
Applications of Signal Processing to real world problems
Course Outcomes:
Learners will be able to…
CO1: Know the sampling process in time and frequency domain and quantization effect in DSP.
CO2: Design the FIR and IIR filter for the specific applications.
CO3: Implement adaptive filters for a given application.
CO4: Know the concept of multirate signal processing and implement the filter bank for given
applications.
CO5: Study and apply the techniques of power spectrum estimation for various applications.
CO6: Apply Signal processing tools to biomedical signal processing and musical sound Processing.
Module No. Detailed Content Hrs. CO
1
Sampling and Finite precision Effect Analog to digital converter, Digital to analog converter, Random Signals, Sampling
theorem, Aliasing effect, Quantization, oversampling.
6 CO1
2 Filter Design and Filter Structures
Finite Impulse Response filter design and Infinite Impulse Response filter design, FIR
and IIR Implementation.
6 CO2
3 Multirate DSP
Interpolation, Decimation, Filter-bank Design and Polyphase structure. 8 CO3
4 Optimal Filtering of Random Signals
Prediction, Wiener filters, LMS and RMS adaptive filters. 6 CO4
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
30
5 Power Spectrum Estimation
Non-parametric and parametric methods, Periodogram of signals. 8 CO5
6 Applications of ADSP
To Biomedical signals processing, audio and Image processing 5 CO6
Textbooks and References:
1. Emmanuel C. Ifeachor, Barrie W. Jervis, “Digital Signal Processing, A Practical Approach”, Pearson Education.
2. Alan V. Oppenheim, Ronald Schafer, “Discrete Time signal Processing”, Pearson Education.
3. J. Proakis, D. G. Manolakis, D. Sharma, “Digital Signal Processing, Principles, algorithms and applications”, Pearson Education.
4. Robert Schilling, Sandra Harris, “Fundamentals of Digital Signal Processing using MATLAB”, Cengage Learning.
5. S. K. Mitra, “Digital Signal Processing”, Tata McGraw Hill, 2001.
6. Chen, “Digital Signal Processing”, Oxford University Press.
7. K. Padmanabhan, “A Practical Approach to Digital Signal Processing”, New Age International.
Evaluation Scheme:
1) In-Semester Assessment:
Assessment consists of two Internal Assessments (IA1, IA2) out of which; one should be compulsory class test (on minimum
02 Modules) and the other is a class test / assignment on case studies / course project.
Mid Semester Examination (MSE) will be based on 40-50% of the syllabus.
2) End-Semester Examination:
Question paper will comprise of full syllabus.
In the question paper, weightage of marks will be proportional to the total number of
lecture hours as mentioned in the syllabus.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
31
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTETDLOL1013 Advanced Digital Signal Processing
Lab -- 02 -- -- 01 -- 01
Subject Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration
(in Hrs) IA1 IA2 Avg. of
2 IAs
Mid Sem
Exam
MTETDLOL1013 Advanced Digital Signal
Processing Lab -- -- -- -- -- -- 25 25 50
List of Suggested Experiments:
1. To demonstrate the application of Periodogram.
2. To Study ECG denoising using Discrete Fourier transform.
3. To find various bands in EEG signal from IIR and FIR filtering
4. To study QRS Interval Identification.
5. To find formants from the voiced signal using power spectral estimation of speech signal.
6. To study system identification using adaptive least mean square estimation.
7. Estimation of formant in speech signal using Power Spectrum estimation.
8. Study of spectrum estimation.
Any 8 experiments have to be performed.
Assessment:
End Semester Examination: Practical/Oral examination is to be conducted by a pair of an internal and an external examiner.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
32
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTETDLO1014 Computational Electromagnetics 03 -- -- 03 -- -- 03
Subject Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration
(in Hrs) IA1 IA2 Avg. of 2
IAs
Mid Sem
Exam
MTETDLO1014 Computational
Electromagnetics 20 20 20 20 60 02 -- -- 100
Course Pre-requisite:
Electromagnetic Field Theory
Course Description:
This course will enable the students to understand numerical methods for solving Maxwell’s equations both static and electrodynamic
Introduction to finite difference, finite element and integral equation methods, and applied linear algebra. After the completion of this
course the student will be able to understand one-dimensional scalar wave equation, concept of Maxwell’s equations and Yee algorithm,
variational and Galerkin methods and model several engineering applications.
Course Objectives:
The aim of this course is
To expose students to the numerical methods for solving Maxwell’s equations both static and electrodynamic and introduce them
to the finite difference, finite element and integral equation methods, and elements of applied linear algebra.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
33
Course Outcomes:
After the completion of this course the student will be able to:
CO1: Understand the fundamentals of Electromagnetics.
CO2: Apply finite difference method in solving electrodynamics problems.
CO3: Apply finite element method in solving electrodynamics problems.
CO4: Understand and apply the method of moments.
CO5: Analyze and model several electrical devices and equipment.
CO6: Understand several hybrid methods to solve Multiphysics problems.
Module No. Detailed Content Hrs. CO
01
Introduction to electromagnetic fields:
Review of vector analysis, electric and magnetic potentials, boundary conditions,
Maxwell’s equations, diffusion equation, Poynting vector, wave equation.
8 CO1
02
Finite Difference Method (FDM):
Finite Difference schemes, treatment of irregular boundaries, accuracy and stability of FD
solutions, Finite-Difference Time-Domain (FDTD) method.
7 CO2
03
Finite Element Method (FEM):
Overview of FEM, Variational and Galerkin Methods, shape functions, lower and higher
order elements, vector elements, 2D and 3D finite elements, efficient finite element
computations.
7 CO3
04
Method of Moments (MOM):
Integral formulation, Green’s functions and numerical integration, other integral methods:
boundary element method, charge simulation method.
5 CO4
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
34
05
Applications: Low frequency and high frequency electrical devices, static / time-harmonic
/ transient problems in transformers, rotating machines, waveguides, antennas, scatterers. 6 CO5
06
Special topics: Hybrid methods, coupled circuit – field computations, electromagnetic –
thermal and electromagnetic – structural coupled computations, solution of equations. 6 CO6
Textbooks and References:
1. M. N. O. Sadiku, “Computational Electromagnetics with MATLAB”, 4th ed., Milton: Chapman and Hall/CRC, 2018.
2. M. V. K. Chari and S. J. Salon, “Numerical methods in electromagnetism”, Academic Press, 2000.
3. M. N. O. Sadiku, “Numerical techniques in electromagnetics”, CRC Press, 1992.
Evaluation Scheme:
1) In-Semester Assessment:
Assessment consists of two Internal Assessments (IA1, IA2) out of which; one should be compulsory class test (on minimum
02 Modules) and the other is a class test / assignment on case studies / course project.
Mid Semester Examination (MSE) will be based on 40-50% of the syllabus.
2) End-Semester Examination:
Question paper will comprise of full syllabus.
In the question paper, weightage of marks will be proportional to the total number of
lecture hours as mentioned in the syllabus.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
35
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTETDLOL1014 Computational Electromagnetics
Lab -- 02 -- -- 01 -- 01
Subject Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration
(in Hrs) IA1 IA2 Avg. of
2 IAs
Mid Sem
Exam
MTETDLOL1014 Computational
Electromagnetics Lab -- -- -- -- -- -- 25 25 50
List of Suggested Experiments:
1. Demonstrate the flux lines of a permanent magnetic in 2D using FEMM (open source) Tool.
2. Understand basic commands, plotting, solving equations and Matrix Operations in MATLAB.
3. Solve a numerical problem with FEM method using MATLAB.
4. Solve a numerical problem with FDTD method using MATLAB.
5. Solve a numerical problem with MOM using MATLAB.
6. Obtain the radiation pattern of a half wave dipole antenna using FEM simulation software (any).
7. Design a microstrip patch antenna using FEM Simulation Software (any).
8. Mini-Project: Solve any design/research problem in the domain of Electrical Engineering using Electromagnetic Simulation tools
(any).
Any 8 experiments have to be performed.
Assessment:
End Semester Examination: Practical/Oral examination is to be conducted by a pair of an internal and an external examiner.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
36
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTETDLO1021 Wireless Optical Communications 03 -- -- 03 -- -- 03
Subject Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration
(in Hrs) IA1 IA2 Avg. of 2
IAs
Mid Sem
Exam
MTETDLO1021 Wireless Optical
Communications 20 20 20 20 60 02 -- -- 100
Course Pre-requisite:
Analog & Digital Communication
Fiber optics
Course Description:
This subject provides the in-depth know ledge in Optical Wireless Communication systems. It covers the emerging Optical wireless
communication trends and their applications. Learners will be able to Interpret the principles of Optical wireless communication
devices and systems, Model the channel for indoor and outdoor OWC systems and analyze the impact of modulation techniques on
bandwidth and power efficiency, free space optical communication and Laser satellite communication, coded modulation techniques
for OWC, coded MIMO and CDMA techniques in FSO, principle of Visible Light, Infrared Communications and utilization of OWC
in sensor networks.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
37
Course Objectives:
This subject provides the in-depth know ledge in Optical Wireless Communication systems.
It covers the emerging Optical wireless communication trends and their applications.
Course Outcome:
Learners will be able to:
CO1: Understand the principles of Optical wireless communication systems.
CO2: Understand the concept of OWC channels
CO3: Analyze the impact of modulation techniques on bandwidth and power efficiency.
CO4: Understand the concept of free space optical communication and Laser satellite
communication.
CO5: Evaluate the coded modulation techniques for OWC, coded MIMO and CDMA techniques
in FSO.
CO6: Understand the principle of Visible Light, Infrared Communications and utilization of
OWC in sensor networks.
Module No. Detailed Content Hrs. CO
1
Introduction to Optical Wireless Communication:
Optical communication systems, wireless access, Need of Optical Wireless Communication
(OWC), block diagram, challenges, Application. 06 CO1
2
Optical Wireless Communication:
Indoor optical wireless communication channel, LOS propagation mode, Spherical and
Gaussian wave model-outdoor channel, Attenuation Beam Wander 06 CO2
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
38
3
Modulation Schemes:
Analogue intensity modulation, Digital baseband-pulse modulation, subcarrier intensity
modulation, optical polarization shift keying, BER performance analysis. 05 CO3
4
Free space optical communications:
Introduction, operating principles, characteristics, QoS and availability, FSO OFDM
communication, FSO underwater, Free space optical networks, laser satellite communication. 06 CO4
5
Coded modulation techniques for OWC:
Coded MIMO for OWC- Indoor OWC MIMO channel-Point to point OW MIMO
communications-MIMO FSO-Wireless optical CDMA Communication System-System
description-indoor wireless optical CDMA-FSO CDMA.
08 CO5
6
Visible light communications:
VLC principle, VLC system model- system implementation, VLC applications Infrared
optical wireless communications - Optical wireless in sensor networks- FSO Sensor networks. 08 CO6
Textbooks and References:
1. Z. Ghassemlooy, W. Popoola, S. Rajbhandari, “Optical Wireless Communications Systems and channel modelling with
MATLAB”, CRC press, Taylor & Francis, 2013.
2. Shlomi Armon, John R. Barry, Geroge K. Karagiannidis, Robert Schober, Murat Uysal, “Advanced Optical Wireless
Communication Systems”, Cambridge university press, 2012.
3. Heinz, Phd. Willebrand, “Free Space Optics”, Sams, 1st ed., 2001.
4. Stamatioas V. Kartalopouls, “Free space optical Networks for Ultra Broadband services”, John Wiley & Sons, 2011.
5. Morris Katzman, “Laser Satellite Communication”, Prentice Hall Inc., New York, 1991.
6. Roberto Ramirez-Iniguez, Sevia M. Idrus, Ziran Sun, “Optical wireless communications: IR for wireless connectivity”, CRC Press,
Taylor and Francis Group, 2007.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
39
Evaluation Scheme:
1) In-Semester Assessment:
Assessment consists of two Internal Assessments (IA1, IA2) out of which; one should be compulsory class test (on minimum
02 Modules) and the other is a class test / assignment on case studies / course project.
Mid Semester Examination (MSE) will be based on 40-50% of the syllabus.
2) End-Semester Examination:
Question paper will comprise of full syllabus.
In the question paper, weightage of marks will be proportional to the total number of
lecture hours as mentioned in the syllabus.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
40
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTETDLOL1021 Wireless Optical Communications
Lab -- 02 -- -- 01 -- 01
Subject Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration
(in Hrs) IA1 IA2 Avg. of
2 IAs
Mid Sem
Exam
MTETDLOL1021 Wireless Optical
Communications Lab -- -- -- -- -- -- 25 25 50
List of Suggested Experiments:
1. Performance analysis of optical link in presence of group velocity dispersion.
2. Performance Analysis of Optical Link with Different Sources.
3. Performance Analysis of Optical Link with Different Detectors.
4. Study and Implementation of technical paper from the reputed Journal related to and Wireless Optical Communication by using
any Simulation software.
5. Case study on Free Space Optical underwater communications.
6. Case study on laser satellite communication.
7. Case study on Optical wireless in sensor networks.
8. Mini project on Visible Light Communication.
9. Virtual lab expt.
Any 8 experiments have to be performed.
Assessment:
End Semester Examination: Practical/Oral examination is to be conducted by a pair of an internal and an external examiner.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
41
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTETDLO1022 Next Generation Networks 03 -- -- 03 -- -- 03
Subject Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration
(in Hrs) IA1 IA2 Avg. of 2
IAs
Mid Sem
Exam
MTETDLO1022 Next Generation
Networks 20 20 20 20 60 02 -- -- 100
Course Pre-requisite:
Computer Networks
Wireless Networks
Mobile Communication
Course Description:
This course will aid to develop enquiring minds and encourage curiosity about the paradigm shift from circuit switched network to
packet switched network, advancement in networks field, new technologies in telecommunication, Wireless NG Technologies, NGN
Standards, components of NGN architecture, Control and Signaling Protocols for NGN, Migration of PSTN networks to NGN,
Transition of IP networks to NGN, IPv6, NGN Evolution.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
42
Course Objectives:
The aim of this course is
To relate the paradigm shift from circuit switched network to packet switched network.
To apply the advancement in networks field.
To examine new technologies in telecommunication.
To appraise the NGN Standards
Course Outcome:
Learners will be able to:
CO1: Relate and compare the core differences between traditional and latest telecommunication
technologies.
CO2: Analyze, implement and apply the components of NGN architecture with NGN standards.
CO3: Design systems meeting out the requirements of the recent standards.
CO4: Deal with network extensions and next generation architecture Wireless, mobile, sensor.
CO5: Meet out the industry requirements for man power in next generation networks.
CO6: Contribute towards the enhancement of the existing wireless technologies.
Module No. Detailed Content Hrs. CO
1
Next Generation Technologies, Networks and Services
Introduction, Next Generation (NG) Technologies, Wire line NG Technologies,
FTTP, Long-Haul Managed Ethernet.
05 CO1
2
Wireless NG Technologies
Long Term Evolution (LTE), Enhanced HSPA Evolution Data Optimized (EVDO),
Ultra Mobile Broadband (UMB), SDR and cognitive radio, IoT, VOIP, IPTV, Quality
08 CO2
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
43
of Services, Quality of Experiences in NGN.
3
Next Generation Multiservice Technology Overview
MPLS &QoS, MPLS services and components, Overview of VPN, layer 2 VPN, layer
3 VPN.
06 CO3
4
ITU NGN Standards and Architectures
Main drivers to Next Generation Networks – NGN, ITU NGN standards, All-IP
network concept for NGN, NGN control architectures and protocols (TISPAN),
Numbering, naming and addressing for all NGN.
06 CO4
5
Control and Signalling Protocols for NGN
(SIP, Diameter) NGN security (AAA, identity management), Service convergence
Fixed-Mobile Convergence (FMC) in NGN, IP Multimedia, Subsystem (IMS) for
NGN.
08 CO5
6
Transitionto NGN and FutureEvolution
Migration ofPSTNnetworks toNGN, Transition ofIPnetworks to NGN, IPv6, NGN
Evolution.
06 CO6
Textbooks and References:
1. Vijay Garg, “Wireless communication and Networking”, ELSEVIER Inc.
2. “Next Generation Telecommunications Network”, Parliament office of Science and Technology (Postnote). Dec 2007, No. 296 Ref.
www.parliament.uk.
3. ITU Manual.
4. Thomas Plevyak, Veli Sahin, “Next Generation Telecommunications Networks, Services and Management”, ISBN: 978-0-470-
57528-4, Wiley-IEEE Press.
5. Hwa Chen, Mohsen Guizani. Hsiao, “ Next Generation Wireless Systems and Networks”, Wiley.
6. Jyh- Cheng Chenand, Tao Zhang, “IP-Based Next-Generation Wireless Networks: Systems, Architectures, and Protocol”, Wiley.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
44
Evaluation Scheme:
1) In-Semester Assessment:
Assessment consists of two Internal Assessments (IA1, IA2) out of which; one should be compulsory class test (on minimum
02 Modules) and the other is a class test / assignment on case studies / course project.
Mid Semester Examination (MSE) will be based on 40-50% of the syllabus.
2) End-Semester Examination:
Question paper will comprise of full syllabus.
In the question paper, weightage of marks will be proportional to the total number of
lecture hours as mentioned in the syllabus.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
45
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTETDLOL1022 Next Generation Networks Lab -- 02 -- -- 01 -- 01
Subject Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration
(in Hrs) IA1 IA2 Avg. of 2
IAs
Mid Sem
Exam
MTETDLOL1022 Next Generation
Networks Lab -- -- -- -- -- -- 25 25 50
List of Suggested Experiments:
Any 8 experiments based on the entire syllabus.
Assessment:
End Semester Examination: Practical/Oral examination is to be conducted by a pair of an internal and an external examiner.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
46
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTETDLO1023 Artificial Intelligence and Machine
Learning 03 -- -- 03 -- -- 03
Subject Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration
(in Hrs) IA1 IA2 Avg. of
2 IAs
Mid Sem
Exam
MTETDLO1023 Artificial Intelligence and
Machine Learning 20 20 20 20 60 02 -- -- 100
Course Prerequisites:
Probability & Statistics
Linear Algebra
Course Description:
This course helps students to introduce soft computing concepts and techniques and foster their abilities in designing appropriate
technique for a given scenario, soft computing based solutions for real-world problems, non-traditional technologies and fundamentals
of artificial neural networks, fuzzy sets, fuzzy logic, genetic algorithms, hand-on experience on MATLAB to implement various
strategies, various machine learning algorithms and techniques with a modern outlook focusing on recent advances, programmed in
various IOT nodes.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
47
Course Objectives:
To enable students to understand different techniques related to Machine Learning.
To make students become acquainted with sequential decision-making methods in ML.
To gain basic knowledge about the key algorithms and theory that forms the foundation of machine learning.
Course Outcomes: Learners will be able to…
CO1: To understand basic concepts of AI.
CO2: To apply probability and statistical theory for AI and ML.
CO3: To understand basic concepts of ML.
CO4: To analyze clustering and SVM and gain basic knowledge about the key algorithms.
CO5: To understand fundamental concepts of Neural Networks.
CO6: To study and design applications for Signal Processing based on ML and AI.
Module No. Detailed Content Hrs. CO
01 AI Basics:
Terminology of AI, how to choose AI project, Workflow of AI project. 07 CO1
02 Probability and Statistical theory for AI and ML:
Probability Theory, Statistics and Linear Algebra Refresher, what is AI and Machine Learning? 03 CO2
03
Machine Learning Basics:
Supervised Learning, Unsupervised Learning, Classification and Regression, Cost Function,
Problem formulation, Linear Regression, Logistic Regression.
10 CO3
04 Introduction to clustering, SVM:
K- mean clustering, k-Nearest Neighbor Estimator, Support Vector Machine. 08 CO4
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
48
05
Neural Networks:
McCulloch and Pitts models of neuron, Types of activation functions, Single layer and
multilayer perceptron.
06 CO5
06
Applications of Machine Learning and AI:
Applications of ML and AI in Image, Audio, Speech, Music Signal processing. 05 CO6
Textbooks and References:
1. Ethem Alpaydi, “Introduction to Machine Learning”, Second Edition, The MIT Press, 2015.
2. Shai Shalev-Shwartz and Shai Ben-David, “Understanding Machine Learning: From Theory to Algorithms”, Cambridge University
Press, 2014.
3. Christopher Bishop, “Pattern Recognition and Machine Learning”, Springer, 2006.
4. Ian Goodfellow, Yoshua Bengio, Aaron Courville, “Deep Learning (DL)”, MIT Press, 2016. (individual chapters freely available
online).
5. Mitchell, Tom, “Machine Learning”, Tata McGraw-Hill, 2017.
6. Russell and Norvig, “Artificial Intelligence”, Third Edition, Prentice Hall, 2015.
7. John D. Kelleher, Brian Mac Namee, and Aoife D'Arcy, “Fundamentals of Machine Learning for Predictive Data Analytics:
Algorithms, Worked Examples, and Case Studies”, MIT Press, 2015.
Evaluation Scheme:
1) In-Semester Assessment:
Assessment consists of two Internal Assessments (IA1, IA2) out of which; one should be compulsory class test (on minimum
02 Modules) and the other is a class test / assignment on case studies / course project.
Mid Semester Examination (MSE) will be based on 40-50% of the syllabus.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
49
2) End-Semester Examination:
Question paper will comprise of full syllabus.
In the question paper, weightage of marks will be proportional to the total number of
lecture hours as mentioned in the syllabus.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
50
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTETDLOL1023 Artificial Intelligence and Machine
Learning Lab -- 02 -- -- 01 -- 01
Subject Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration
(in Hrs) IA1 IA2 Avg. of
2 IAs
Mid Sem
Exam
MTETDLOL1023 Artificial Intelligence and
Machine Learning Lab -- -- -- -- -- -- 25 25 50
List of Suggested Experiments:
1. Linear Regression
2. Logistic Regression
3. KNN Clustering
4. K-mean clustering
5. Support Vector Machine and Kernels
6. Multilayer Perceptron
7. Convolutional Neural Networks
8. Application of Machine Learning
(Image Classification, Speech Recognition, Music Information Retrieval)
Any 8 experiments have to be performed.
Assessment:
End Semester Examination: Practical/Oral examination is to be conducted by a pair of an internal and an external examiner.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
51
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTETDLO1024 Microwave Circuits 03 -- -- 03 -- -- 03
Subject Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration (in
Hrs) IA1 IA2 Avg. of 2
IAs
Mid Sem
Exam
MTETDLO1024 Microwave
Circuits 20 20 20 20 60 02 -- -- 100
Course Pre-requisite:
Microwave Engineering
RF Design
Course Description:
In this course students will understand and apply microwave frequency design concept and impart knowledge on design and
implementation of high frequency transceiver system, analyze various components of microwave frequency communication system
architecture, understand the impact of different design parameters in transceiver circuit design, besides developing an insight to make
use of several high frequency design techniques.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
52
Course Objective: The aim of this course is to let the students obtain
To explain microwave frequency design concept and impart knowledge on design and implementation of high frequency
transceiver system.
To develop an ability to analyze various components of microwave communication system architecture.
To develop an ability to analyze different design parameters of transceiver circuit design, besides developing an insight to make
use of several high frequency design techniques.
To utilize the various microwave circuit design concepts in designing the microwave transceiver systems.
Course Outcomes:
Learners will be able to…
CO1: Understand the microwave frequency design concept.
CO2: Apply knowledge on design and implementation of high frequency Transceiver system.
CO3: Analyze various components of microwave frequency communication system architecture.
CO4: Analyze the impact of different design parameters in transceiver circuit design, besides
developing an insight to make use of several high frequency design techniques.
CO5: Evaluate the various microwave circuit design concepts in designing the microwave
transceiver systems.
CO6: Understand the operations of microwave integrated circuits.
Module No. Detailed Content Hrs. CO
01
Introduction to Microwave circuits: Scattering parameters, Impedance matching lumped and
distributed parameters, RF Behavior of Passive Components: High Frequency Resistors, High-
Frequency Capacitors, High-Frequency Inductors. Foundations of Microstrip lines, Striplines,
06 CO1
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
53
Higher modes in microstrips and striplines, Slotlines, Coplanar waveguides, Coplanar strips,
Microstrip discontinuities and bends.
02
Microwave Planar Filters: Periodic structures, Filter design by the Image Parameter method,
Filter design by the Insertion Loss method, Filter transformations, Filter implementation,
Stepped-Impedance Low-Pass filters, Coupled line filters, Filters using coupled resonators.
07 CO2
03
Transistor Amplifier Design: Characteristics of Amplifiers, Amplifier Power Relations: RF
source, Transducer Power Gain, Additional Power Relations, Stability Considerations: Satbility
Circles, Unconditional Stability, Stabilization Methods, Constant Gain: Unilateral Design,
Unilateral Figure of Merit, Bilateral Design, Operating and Available Power Gain Circles.
Noise Figure Circles, Constant VSWR Circles. Broadband, High Power and Multistage
Amplifiers.
07 CO3
04
Microwave Oscillator Design: Basic Oscillator Model, Negative Resistance Oscillator,
Feedback Oscillator Design, Design Steps, Noise characterization, Fixed Frequency
Oscillators, Dielectric Resonator Oscillators, YIG-Tuned Oscillators, Voltage Controlled
Oscillators, Gunn Element Oscillator.
07 CO4
05
Different Microwave Nonlinear Circuits: Mixers: Basic Concepts, Frequency Domain
Considerations, Single-Balanced Mixer Double-Balanced Mixer, Switches: Pin Diode
switches, FET switches, MEMS switches;Variable attenuators, Phase shifters, Detectors. 06 CO5
06
Microwave Integrated Circuits: Hybrid MICs: Definition, Characteristics, Comparison with
conventional circuits, fields of application and limitations and criteria for the choice of substrate
material, thin film hybrid circuits, thick film hybrid circuits, artwork, mask making,
photolithography, resistor stabilization, sawing, brazing process, wire bonding. Monolithic
MICs: Definition, substrate structure, doping by ion implantation ohmic contact, metal resistive
layers, gate metal, dielectric second level metal, dielectric and air bridge vias, substrate vias,
final wafer process steps.
06 CO6
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
54
Textbooks and References:
1. David Pozar, “Microwave Engineering”, 4th Edition, Wiley 2011.
2. Guillermo Gonzalez, “Microwave transistor amplifier design: Analysis and Design”, Pearson Education, 2008.
3. Reinhold Ludwig and Pavel Bretchko, “RF Circuit Design Theory and Applications”, Pearson Education, 2004,
4. E.H.Fooks, R.A.Zakarevicius, “Microwave Engineering Using Microstrip Circuits”, Prentice-Hall.
5. Misra, D.K., “Radio-frequency and Microwave Communication Circuits”, John Wiley & Sons.
6. Reinmut K. Hoffman, “Handbook of Microwave Integrated Circuits”, Artech House.
7. Franco di Paolo, “Networks and Devices using Planar Transmission Lines”, CRC Press.
Evaluation Scheme:
1) In-Semester Assessment:
Assessment consists of two Internal Assessments (IA1, IA2) out of which; one should be compulsory class test (on minimum
02 Modules) and the other is a class test / assignment on case studies / course project.
Mid Semester Examination (MSE) will be based on 40-50% of the syllabus.
2) End-Semester Examination:
Question paper will comprise of full syllabus.
In the question paper, weightage of marks will be proportional to the total number of
lecture hours as mentioned in the syllabus.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
55
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTETDLOL1024 Microwave Circuits Lab -- 02 -- -- 01 -- 01
Subject Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration
(in Hrs) IA1 IA2 Avg. of 2
IAs
Mid Sem
Exam
MTETDLOL1024 Microwave
Circuits Lab -- -- -- -- -- -- 25 25 50
List of Suggested Experiments:
1. To study Microstrip Transmission Lines using Electromagnetic simulator.
2. To study Strip Transmission Lines using Electromagnetic simulator.
3. To study Coplanar waveguide Transmission Lines using Electromagnetic simulator.
4. To study Matching Network Design using Electromagnetic simulator.
5. To design lumped element matching using ZY charts and to verify result using Vsmith software.
6. To study Planar Filters using simulation using HFSS
7. To Study High frequency passive component simulation using ADS.
8. To study Network Analysis of two port network by S-parameter using VAN.
9. To study Microwave transistors using Simulator.
10. To study Amplifier Linear Performance using simulators.
Any 8 experiments have to be performed.
Assessment:
End Semester Examination: Practical/Oral examination is to be conducted by a pair of an internal and an external examiner.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
56
Subject
Code Subject Name
Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTILO1011 Optimization Techniques in Problem
Solving 03 -- -- 03 -- -- 03
Subject
Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration
(in Hrs) IA1 IA2 Avg. of 2
IAs
Mid Sem
Exam
MTILO1011 Optimization Techniques in
Problem Solving 20 20 20 20 60 02 -- -- 100
Course Pre-requisite:
Basic Matrix manipulation and probability theory.
Microsoft Excel
C Programming
Course Description:
The course introduces the concepts of decision making and problem solving. It delves into optimization techniques used to solve real
life problems in engineering, manufacturing and management. It looks at LPP problems, their formulation and solutions. It looks at
concepts of sensitivity analysis using algorithms like Simplex Method and Dual Simplex Method. It delves into aspects that are relevant
in solving problems using algorithms. Classes of real-life problems like transportation, assignment, job sequencing, replacement and
inventory management. It introduces to concepts of game theory, queuing and Monte Carlo Simulation techniques.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
57
Course Objectives:
To familiarize the students with optimization techniques
To understand and be able to apply deterministic and probabilistic techniques for solving real world decision-making problems
Course Outcomes: At the end of the course learner will able to
CO1: Understand and apply optimization, decision making and problem solving for real life.
CO2: Formulate and solve linear programming problems.
CO3: Develop algorithms and solve transportation and assignment problems.
CO4: Analyze Queuing Systems.
CO5: Analyze and solve 2 person games.
CO6: Use probabilistic formulation for Monte-Carlo simulations
Module No. Detailed Content Hrs. CO
1
Introduction to Optimization Optimization techniques and Decision making. Applications. Limitations. Fundamental
Matrix Manipulations. Fundamental Probability techniques. 5 CO1
2
Linear Programming Introduction, Linear Programming Problem, Requirements of LPP, Mathematical
Formulation of LPP, Graphical method, Simplex Method, Special cases in Simplex, Penalty
Cost Method or Big M-method, Two Phase Method, Duality, Primal – Dual construction,
Symmetric and Asymmetric Dual, Weak Duality Theorem, Complimentary Slackness
Theorem, Main Duality Theorem, Dual Simplex Method, Sensitivity Analysis, Post-
Optimal Analysis. Introduction to Integer Programming. Introduction to Revised Simplex
Method.
10 CO2
3
LPP Applications
Transportation Problem: Formulation, solution, unbalanced Transportation problem.
Finding basic feasible solutions – Northwest corner rule, least cost method and Vogel’s
approximation method. Optimizing using MODI method.
6 CO3
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
58
Assignment Problem: Introduction, Mathematical Formulation of the Problem, Hungarian
Method Algorithm, Processing of n Jobs Through Two Machines and m Machines,
Graphical Method of Two Jobs m Machines Problem, Routing Problem, Travelling
Salesman Problem.
4
Queuing Models Formulation of Queing Model. Types of Queues, MM1: ∞∞ queue model and calculation
of probabilities. Analysis of the queuing system and calculation of parameters. 6 CO4
5
Game Theory Competitive games, rectangular game, saddle point, minimax (maximin) method of optimal
strategies, value of the game. Solution of games with saddle points, dominance principle.
Rectangular games without saddle point – mixed strategy for 2 X 2 games, 2Xn and mX2
games.
6 CO5
6
Simulation Introduction, Methodology of Simulation, Simulation Procedure, Application of Simulation
Monte-Carlo Method: Introduction, Monte-Carlo Simulation, Applications of Simulation,
Advantages of Simulation, Limitations of Simulation.
6 CO6
Text Books: 1. Taha, H.A., "Operations Research - An Introduction", Prentice Hall, (7th Edition), 2002.
2. Hiller, F. S. and Liebermann, G. J., "Introduction to Operations Research", Tata McGraw Hill,
2002.
Reference Books: 1. S. D. Sharma, “Operations Research”, Kedar Nath Ram Nath, Meerut.
2. P. K. Gupta, Man Mohan, “Operations Research, KantiSwarup”, Sultan Chand & Sons.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
59
Evaluation Scheme:
1) In-Semester Assessment:
Assessment consists of two Internal Assessments (IA1, IA2) out of which; one should be compulsory class test (on minimum
02 Modules) and the other is a class test / assignment on case studies / course project.
Mid Semester Examination (MSE) will be based on 40-50% of the syllabus.
2) End-Semester Examination:
Question paper will comprise of full syllabus.
In the question paper, weightage of marks will be proportional to the total number of
lecture hours as mentioned in the syllabus.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
60
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTILO1012 Cyber and Data Laws 03 -- -- 03 -- -- 03
Subject
Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration (in
Hrs) IA1 IA2 Avg. of 2
IAs
Mid Sem
Exam
MTILO1012 Cyber and Data
Laws 20 20 20 20 60 02 -- -- 100
Course Pre-requisite:
Data Security
Course Description:
This Course gives Introduction to the Cyber World and Cyber Law, Regulatory Framework such as International Legal Regime,
International legal regime relating to E-Commerce and Domestic Legal Regime. What is Cybercrime, Kinds of cybercrimes and
relevant provisions under Information Technology Act 2000 Indian Penal Code? Also addresses the Important Issues in Global E-
commerce, Issues relating to Access, Trust, Privacy and Security, Consumer Protection and so on.
Course Objectives:
To understand and identify different types cybercrime and cyber law
To recognized Indian IT Act 2008 and its latest amendments
To learn various types of security standards compliances
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
61
Course Outcomes: At the end of the course learner will able to
CO1: Understand the concept of cybercrime and its effect on outside world
CO2: Interpret and apply IT law in various legal issues
CO3: Apply various tools used for cyber-crime for investigation
CO4: Distinguish different aspects of cyber law & its compliance
CO5: Apply and analysed IT Acts for current cyber crimes
CO6: Apply Information Security Standards compliance during software design and development.
Module No. Detailed Content Hrs. CO
1 Introduction to Cybercrime: Cybercrime definition and origins of the world, Cybercrime and
information security, Classifications of cybercrime, Cybercrime and the Indian ITA 2000, A
global Perspective on cybercrimes.
6 CO1
2
Cyber offenses & Cybercrime Social egg attacks, Cyber stalking, Botnets, Attack vector, Credit
Card Frauds in Mobile and Wireless Computing Era, Security Challenges for wireless Devices,
Authentication Service Security, Attacks on Mobile/Cell Phones, Mobile Devices: Security
Implications for Organizations, Organizational Measures for Handling Mobile, Devices-Related
Security Issues, Organizational Security Policies and Measures in Mobile Computing Era, Laptops
6 CO2
3
Tools for Cyberline Methods, Phishing, Password Cracking, Key loggers and Spywares, Virus
and Worms, Steganography, Covert channels, storage and timing covert channels, counter
measures for covert communication, DoS and DDoS Attacks, SQL Injection, Buffer Over Flow,
Attacks on Wireless Networks, Identity Theft -ID Theft
6 CO3
4
The Law of IT Compliance How to conduct investigations: Cooperation with investigations,
Numerous Examples of Fraud (PostMordems), Securities Fraud, Federal Sentencing Guidelines,
Codes of Ethics, Hotlines, Reporting, Whistleblowing, Employee Monitoring, Entrapment, Raids
& Seizures Electronic Banking , The Need for an Indian Cyber Law.
5 CO4
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
62
5 Indian IT Act Cyber Crime and Criminal Justice: Penalties, Adjudication and Appeals Under the
IT Act, 2000, IT Act. 2008 and its Amendments 8 CO5
6 Information Security Standard compliances, Information Security Standard compliances SOX,
GLBA, HIPAA, ISO, FISMA, NERC, PCI. 8 CO6
Text books:
1. Sood, “Cyber Laws Simplified”, McGraw Hill.
2. Anthony Reyes, “Cyber Crime Investigations: Bridging the Gaps Between Security Professionals, Law Enforcement, and
Prosecutors”, Syngress Publishing, 2007.
3. Nina Godbole, Sunit Belapure, “Cyber Security”, Wiley India, New Delhi.
Reference books:
1. Suresh T. Vishwanathan, “The Indian Cyber Law”, Bharat Law House, New Delhi.
2. Bare Act, “The Information technology Act, 2000”, Professional Book Publishers, New Delhi.
3. Prashant Mali, “Cyber Law & Cyber Crimes”, Snow White Publications, Mumbai.
4. Nina Godbole, “Information Systems Security”, Wiley India, New Delhi.
5. Kennetch J. Knapp, “Cyber Security & Global Information Assurance”, Information Science Publishing.
Evaluation Scheme:
1) In-Semester Assessment:
Assessment consists of two Internal Assessments (IA1, IA2) out of which; one should be compulsory class test (on minimum
02 Modules) and the other is a class test / assignment on case studies / course project.
Mid Semester Examination (MSE) will be based on 40-50% of the syllabus.
2) End-Semester Examination:
Question paper will comprise of full syllabus.
In the question paper, weightage of marks will be proportional to the total number of
lecture hours as mentioned in the syllabus.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
63
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTILO1013 Product Lifecycle Management 03 -- -- 03 -- -- 03
Subject
Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration
(in Hrs) IA1 IA2 Avg. of 2
IAs
Mid Sem
Exam
MTILO1013 Product Lifecycle
Management 20 20 20 20 60 02 -- -- 100
Course Pre-requisite:
None
Course Description:
The purpose of the course of to provide an overview of how IT tools and systems are used to create and manage product information and
knowledge, from identification of customers’ need to product retirement. In particular, the course focuses on the advanced use of computer
models, information, and knowledge in the product realisation process. This course aims to develop these skills. In particular, the course
is aimed towards students from the master programs Product Development, Product Engineering, Industrial Engineering
Course Objectives:
To familiarize the students with the need, benefits and components of PLM.
To acquaint students with Product Data Management & PLM strategies.
To give insights into new product development program and guidelines for designing and developing a product.
To familiarize the students with Virtual Product Development
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
64
Course Outcomes: At the end of the course learner will able to,
CO1: Gain knowledge about phases of PLM, PLM strategies and methodology for PLM Feasibility study and PDM implementation.
CO2: Illustrate various approaches and techniques for designing and developing products.
CO3: Apply product engineering guidelines / thumb rules in designing products for molding, machining, sheet metal working etc.
CO4: Acquire knowledge in applying virtual product development tools for components, machining and manufacturing plan.
CO5: Integration of environmental aspects in product design.
CO6: Carry out Life Cycle Assessment and Life Cycle Cost Analysis.
Module No. Detailed Content Hrs. CO
1
Introduction to Product Lifecycle Management (PLM): Product Lifecycle Management
(PLM), Need for PLM, Product Lifecycle Phases, Opportunities of Globalization, Pre-PLM
Environment, PLM Paradigm, Importance & Benefits of PLM, Widespread Impact of PLM,
Focus and Application, A PLM Project, Starting the PLM Initiative, PLM Applications.
PLM Strategies: Industrial strategies, Strategy elements, its identification, selection and
implementation, Developing PLM Vision and PLM Strategy, Change management for PLM.
09
CO1
2
Product Design: Product Design and Development Process, Engineering Design,
Organization and Decomposition in Product Design, Typologies of Design Process Models,
Reference Model, Product Design in the Context of the Product Development Process,
Relation with the Development Process Planning Phase, Relation with the Post design
Planning Phase, Methodological Evolution in Product Design, Concurrent Engineering,
Characteristic Features of Concurrent Engineering, Concurrent Engineering and Life Cycle
Approach, New Product Development (NPD) and Strategies, Product Configuration and
Variant Management, The Design for X System, Objective Properties and Design for X Tools,
Choice of Design for X Tools and Their Use in the Design Process.
08 CO2
3 Product Data Management (PDM): Product and Product Data, DM systems and importance,
Components of PDM, Reason for implementing a PDM system, financial justification of PDM, 04 CO3
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
65
barriers to PDM implementation.
4
Virtual Product Development Tools: For components, machines, and manufacturing plants,
3D CAD systems and realistic rendering techniques, Digital mock-up, Model building, Model
analysis, Modeling and simulations in Product Design, Examples/Case studies.
06 CO4
5
Integration of Environmental Aspects in Product Design: Sustainable Development,
Design for Environment, Need for Life Cycle Environmental Strategies, Useful Life Extension
Strategies, End-of-Life Strategies, Introduction of Environmental Strategies into the Design
Process, Life Cycle Environmental Strategies and Considerations for Product Design.
06 CO5
6
Life Cycle Assessment and Life Cycle Cost Analysis: Properties, and Framework of Life
Cycle Assessment, Phases of LCA in ISO Standards, Fields of Application and Limitations of
Life Cycle Assessment, Cost Analysis and the Life Cycle Approach, General Framework for
LCCA, Evolution of Models for Product Life Cycle Cost Analysis.
06 CO6
Text and Reference Books:
1. John Stark, “Product Lifecycle Management: Paradigm for 21st Century Product Realisation”, Springer-Verlag, 2004. ISBN:
1852338105.
2. Fabio Giudice, Guido La Rosa, AntoninoRisitano, “Product Design for the environment-A life cycle approach”, Taylor & Francis
2006, ISBN: 0849327229.
3. Saaksvuori Antti, Immonen Anselmie, “Product Life Cycle Management”, Springer, Dreamtech, ISBN: 3540257314.
4. Michael Grieve, “Product Lifecycle Management: Driving the next generation of lean thinking”, Tata McGraw Hill, 2006, ISBN:
0070636265.
Evaluation Scheme:
1) In-Semester Assessment:
Assessment consists of two Internal Assessments (IA1, IA2) out of which; one should be compulsory class test (on minimum
02 Modules) and the other is a class test / assignment on case studies / course project.
Mid Semester Examination (MSE) will be based on 40-50% of the syllabus.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
66
2) End-Semester Examination:
Question paper will comprise of full syllabus.
In the question paper, weightage of marks will be proportional to the total number of
lecture hours as mentioned in the syllabus.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
67
Subject
Code Subject Name
Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTILO1014 Entrepreneurship Development and
Management 03 -- -- 03 -- -- 03
Subject
Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration
(in Hrs) IA1 IA2 Avg. of
2 IAs
Mid Sem
Exam
MTILO1014 Entrepreneurship Development
and Management 20 20 20 20 60 02 -- -- 100
Course Pre-requisite:
None
Course Description:
To familiarize the participants with the concept and overview of entrepreneurship with a view to enhance entrepreneurial talent. To
impart knowledge on the basics of entrepreneurial skills and competencies to provide the participants with necessary inputs for
creation of new ventures. To explore new vistas of entrepreneurship in 21st century environment to generate innovative business
ideas.
Course Objectives:
To motivate the students to become and/or work for entrepreneurship and start-ups
To understand and be able to apply processes, problem-solving techniques and legal clauses for success in venture
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
68
Course Outcomes: At the end of the course learner will able to
CO1: Understand the ideation process and the importance of innovative thinking.
CO2: Develop Business plans, financial analysis and perform market analysis for their venture.
CO3: Familiarize with Legal matters.
CO4: Understanding government schemes and support.
CO5: Prepare proper pitch for funding.
CO6: Use tools and techniques for solving problems.
Module No. Detailed Content Hrs. CO
1 Ideation: Idea Identification and Assessment. Idea Validation. Documentation of Ideas and
Feasibility Analysis. Introduction to Entrepreneurship and Business Startups. 6 CO1
2
Business Planning and Financial Basics: Learn how to build an effective Business Plan for
your venture. Understand the fundamentals of finance & accounting comprising of financial
statements. Break-even analysis. Risk Assesment. Marketing Plans, Management and
Personnel, Start-up Costs and Financing as well as Projected Financial Statements. Capital and
itsImportance to the Entrepreneur Starting a New Business, Buying an Existing Business, New
Product Development, Business Growth.
9 CO2
3
Legal Foundations: Define the right legal foundation for your company and explore
fundamentals like Company Registration, Compliances and Patents. Entrepreneur Law and its
Relevance to Business Operations.
6 CO3
4
Government support: Indian Environment for Entrepreneurship: key regulations and legal
aspects , Schemes and policies of the Ministry of MSME, role and responsibilities of various
government organisations, departments, banks etc., Role of State governments in terms of
infrastructure developments and support etc., Public private partnerships, National Skill
development Mission, Credit Guarantee Fund, PMEGP, discussions, group exercises etc.
6 CO4
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
69
5
Fund Raising: Company valuation, Fundraising, Equity Management. Role of Money and
Capital Markets in Entrepreneurial Development: Contribution of Government Agencies in
Sourcing information for Entrepreneurship.
6 CO5
6
Small Business Achieving Success: In The Small Business:Stages of the small business life
cycle, four types of firm-level growth strategies, Options – harvesting or closing small business
Critical Success factors of small business rectangular games without saddle point – mixed
strategy for 2 X 2 games, 2Xn and mX2 games.
6 CO6
Text Books: 1. Poornima Charantimath, “Entrepreneurship development: Small Business Enterprise”, Pearson
Education.
2. Robert D Hisrich, Michael P Peters, Dean A Shapherd, “Entrepreneurship”, latest edition, The
McGraw Hill Company.
3. Dr TN Chhabra, “Entrepreneurship Development”, Sun India Publications, New Delhi.
4. Dr CN Prasad, “Small and Medium Enterprises in Global Perspective, New century Publications”,
New Delhi.
Reference Books: 1. “Law and Practice relating to Micro, Small and Medium enterprises”, Taxmann Publication Ltd.
2. Kurakto, “Entrepreneurship- Principles and Practices”, Thomson Publication.
Evaluation Scheme:
1) In-Semester Assessment:
Assessment consists of two Internal Assessments (IA1, IA2) out of which; one should be compulsory class test (on minimum
02 Modules) and the other is a class test / assignment on case studies / course project.
Mid Semester Examination (MSE) will be based on 40-50% of the syllabus.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
70
2) End-Semester Examination:
Question paper will comprise of full syllabus.
In the question paper, weightage of marks will be proportional to the total number of
lecture hours as mentioned in the syllabus.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
71
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTILO1015 Renewable Energy Systems 03 -- -- 03 -- -- 03
Subject
Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration (in
Hrs) IA1 IA2 Avg. of 2
IAs
Mid Sem
Exam
MTILO1015 Renewable Energy
Systems 20 20 20 20 60 02 -- -- 100
Course Pre-requisite:
Environmental Study
Fundamentals of Energy
Course Description:
This course gives the importance of Renewable energy systems or sources, wind energy, solar photovoltaic and thermal systems, solar
PV and thermal systems, biomass energy, other energy sources. It also includes the tidal energy: energy from the tides, barrage and
non-barrage tidal power systems. The wave energy: energy from waves, wave power devices. With this course knowledge one can
innovate new system that can generate energy from natural sources.
Course Objectives: To impart knowledge on the various topics namely,
Recognize current and possible future role of renewable energy sources.
Adequate inputs on a variety of issues in harnessing renewable Energy.
Awareness’ about renewable Energy Sources and technologies.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
72
Course Outcome: Upon the completion of this course, learners will be able to:
CO1: Understand the renewable energy sources.
CO2: Analyze wind power plants.
CO3: Understand and analyse Solar Photo Voltaic (SPV) systems.
CO4: Explore the use of biomass energy as a renewable energy source.
CO5: Apply Knowledge of working principle of geothermal energy systems.
CO6: Evaluate and explore the capability of tidal, hydrogen and hybrid energy systems
Module No. Detailed Content Hrs. CO
1
Global and National Energy Scenario:
Overview of conventional & renewable energy sources, need, potential &development of
renewable energy sources, types of renewable energy systems, Future of Energy Use, Global
and Indian Energy scenario, Energy for sustainable development, renewable electricity and key
elements, Global climate change, CO2 reduction potential of renewable energy- concept of
Hybrid systems.
08 CO1
2
Wind Energy
Power in the Wind, Nature of the wind, Wind Energy Conversion, Wind Data and Energy
Estimation, Site selection, Types of wind turbines, Wind farms, Wind Generation and Control,
classification of wind, characteristics, offshore wind energy, Types of Wind Power Plants
(WPPs), Components of WPPs, Working of WPPs, Grid integration issues of WPPs, Hybrid
systems, wind energy potential and installation in India.
08 CO2
3
Solar Energy
Solar energy system, Solar Radiation, Availability, Measurement and Estimation, Solar
Thermal Conversion Devices and Storage, Solar Electrical Power Generation, general Solar
Photo Voltaic (SPV) system components and their characteristics, Stand alone and Grid
Connected SPV systems.
08 CO3
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
73
Textbooks:
1. S. P. Sukhatme and J. K. Nayak, “Solar Energy: Principles of Thermal Collection and Storage”,
3rd Edition, TMH, New Delhi.
2. John Twidell and Tony Weir, “Renewable Energy Resources”, 2nd ed., Taylor and Francis, 2013.
3. G.D. Rai, “Non-Conventional Energy Sources”, Khanna Publishers.
Reference Books:
1. Godfrey Boyle, “Renewable Energy”, oxford University, press, 3rd edition, 2013.
2. Ahmed, Zobaa, Ramesh C Bansal, “Handbook of renewable technology”, World scientific, Singapore.
3. Ramesh & Kumar, “Renewable Energy Technologies”, Narosa.
4. Chetong Singh Solanki, “Renewable energy technologies: A practical guide for beginners”, PHI.
5. B.H. Khan, “Non-conventional energy source”, 2nd ed., TMH.
6. Karlsson, Kenneth Bernard, Skytte, Klaus Morthorst, “Integrated energy systems modeling”, Published in DTU International
Energy Report, 2015.
Solar Photovoltaic systems: Basic Principle of solar photovoltaic conversion, types of PV
Systems, Types of Solar Cells, Photovoltaic cell concepts: Cell, module, array, PV Module I-V
Characteristics, Efficiency & Quality of the Cell, series and parallel connections, maximum
power point tracking, applications.
4
Biomass Energy
Introduction, Biomass resources, Principles of Bio-Conversion, Biomass Cogeneration,
Environmental Benefits, Anaerobic/aerobic digestion, types of Bio-gas digesters, gas yield,
combustion characteristics of bio-gas, utilization for cooking.
05 CO4
5 Geothermal Energy: Resources, types of wells, methods of harnessing the energy, potential in
India. 03 CO5
6
Other Energy Sources
Tidal Energy: Energy from the tides, Types of Tidal power systems, wave power devices, Ocean
Thermal Energy Conversion (OTEC).
Hydrogen Production and Storage: Principle of working, various types, construction and
applications, Energy Storage System. Hybrid Energy Systems.
07 CO6
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
74
Evaluation Scheme:
1) In-Semester Assessment:
Assessment consists of two Internal Assessments (IA1, IA2) out of which; one should be compulsory class test (on minimum
02 Modules) and the other is a class test / assignment on case studies / course project.
Mid Semester Examination (MSE) will be based on 40-50% of the syllabus.
2) End-Semester Examination:
Question paper will comprise of full syllabus.
In the question paper, weightage of marks will be proportional to the total number of
lecture hours as mentioned in the syllabus.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
75
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTILO1016 Design of Experiments 03 -- -- 03 -- -- 03
Subject
Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration (in
Hrs) IA1 IA2 Avg. of 2
IAs
Mid Sem
Exam
MTILO1016 Design of
Experiments 20 20 20 20 60 02 -- -- 100
Course Pre-requisite:
Probability Statistics
Course Description:
This course objective is to learn how to plan, design and conduct experiments efficiently and effectively, and analyze the resulting data
to obtain objective conclusions. Both design and statistical analysis issues are discussed. Opportunities to use the principles taught in the
course arise in all aspects of today’s industrial and business environment. Applications from various fields will be illustrated throughout
the course. All experiments are designed experiments; some of them are poorly designed, and others are well-designed. Well-designed
experiments allow you to obtain reliable, valid results faster, easier, and with fewer resources than with poorly-designed experiments.
You will learn how to plan, conduct and analyze experiments efficiently in this course.
Course Objectives:
To impart students a holistic view of the fundamentals of experimental designs, analysis tools and techniques, interpretation and
applications.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
76
Learn how to plan, conduct and analyze experiments efficiently.
Course Outcome: Upon completion of this course, the students will be able to:
CO1: Understand the fundamentals of experiments and its uses.
CO2: Analyze experimental designs such as randomized block design, Latin square, factorial and fractional factorial designs.
CO3: Understand and explore multifactor experiments.
CO4: Analyze special experimental designs.
CO5: Analyze response surface methodology.
CO6: Apply Taguchi method in analyzing experimental data
Module No. Detailed Content Hrs. CO
1
Experimental Design Fundamentals
Importance of experiments, experimental strategies, basic principles of design, terminology,
ANOVA, steps in experimentation, sample size, normal probability plot, linear regression
model.
08 CO1
2
Single Factor Experiments
Completely randomized design, Randomized block design, Latin square design Statistical
analysis, estimation of model parameters, model adequacy checking, and pair wise
comparison tests.
08 CO2
3
Multi Factor Experiments
Two and three factor full factorial experiments, 2K factorial Experiments, Confounding
and blocking designs. 08 CO3
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
77
Textbooks:
1. Montgomer, D.C., “Design and analysis experiments”, John Wiley and sons 2003.
2. Nicolo Belavendram, “Quality by design: Taguchi techniques for industrial experimentation”, prentice hall, 1995.
Reference Books:
1. Phillip J. Rose, “Taguchi techniques for quality engineering”, McGraw Hill, 1996.
Evaluation Scheme:
1) In-Semester Assessment:
Assessment consists of two Internal Assessments (IA1, IA2) out of which; one should be compulsory class test (on minimum
02 Modules) and the other is a class test / assignment on case studies / course project.
Mid Semester Examination (MSE) will be based on 40-50% of the syllabus.
2) End-Semester Examination:
Question paper will comprise of full syllabus.
In the question paper, weightage of marks will be proportional to the total number of
lecture hours as mentioned in the syllabus.
4
Special Experimental Design
Special experimental design, Fractional factorial design, nested designs, Split plot design. 04 CO4
5
Introduction to Response Surface Methodology:
Experiments with random factors, rules for expected mean squares, approximate F- tests. 04 CO5
6
Taguchi Method
Steps in experimentation, design using Orthogonal arrays, data analysis, Robust design
control and noise factors, S/N ratios, parameter design, and case studies.
07 CO6
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
78
Syllabus
for
Semester II
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
79
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTETC201 Advanced Digital Communication 03 -- -- 03 -- -- 03
Subject
Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration
(in Hrs) IA1 IA2 Avg. of 2
IAs
Mid Sem
Exam
MTETC201 Advanced Digital
Communication 20 20 20 20 60 02 -- -- 100
Course Pre-requisite:
Digital communication
Random Signal Analysis
Course Description:
This course will build the fundamentals of modern communication system and an ability to analyze and design digital communication
systems. Evaluate the detection and estimation of signals in the presence of noise. Explain the characteristics of fading channels.
Course Objectives:
The aim of this course is to let the students obtain
Fundamentals of modern communication system
Ability to analyze and design digital communication systems
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
80
Course Outcome: Learners will be able to:
CO1: Explain and implement different source coding techniques.
CO2: Analyze waveform receivers for coherent communication.
CO3: Analyze waveform receivers for non-coherent communication.
CO4: Describe and design of band-limited channels.
CO5: Evaluate the detection and estimation of signals in the presence of noise.
CO6: Explain the characteristics of fading channels.
Module No. Detailed Content Hrs. CO
1
Source Coding
Average, mutual information & entropy, Coding for discrete sources, The Lempel
algorithm (LZ-77, LZ-78, LZW), Coding for analog sources -Temporal waveform
coding, Spatial waveform coding.
06 CO1
2
Coherent Communication with Waveforms
Binary cross-correlation receivers, Matched filter receivers, M-ary waveform receivers,
Time-sampling approach, Karhunen-Loeve (K-L), Expansion approach, Whitening
approach, Real and complex signal models, Effect of Data Imperfect Carrier
Synchronization, Effect of Data Imperfect bit synchronization
07 CO2
3
Non-Coherent Communication with Waveforms
Non-Coherent receivers in random phase channels, Optimum M-FSK receivers, Non
coherent receivers in random amplitude and phase. 07 CO3
Channels
Optimum receivers in Rayleigh channels, Optimum receivers in Rician channels
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
81
4
Signal Design for Channel and Equalization
Design of band limited signals with controlled ISI, Symbol by symbol sub optimum
detection, Introduction to linear equalizer, Mean-square error (MSE) criterion, Iterative
equalization and decoding, Introduction to adaptive equalization, The LMS Algorithm.
07 CO4
5
Optimum Detection and Estimation
Noise vector in signal space, Bayes detection of received signal, Decision region &
minimum error probability, Optimum detection of several special comm. Signals. 06 CO5
6
Non-linear & linear estimation
Fading Channels, Signal time spreading, Time variance of channel caused by motion,
Mitigating the degradation effects of fading. 06 CO6
Textbooks and References:
1. John G.Proakis, “Digital Communication”, 3rd edition, McGraw –Hill International Editions.
2. Marvin K. Simon, Sami M Hindei, William C Lindesy, “Digital Communication Techniques: Signal Design & Detection”, PHI
Learning Private Limited.
3. Bernard Sklar, Pabitra Kumar Ray, “Digital Communications: Fundamental & Application”, 2nd Edition, Pearson Publication.
4. Theodore S. Rappaport, “Wireless communication principles and practice”, 2nd Edition, Pearson Publication.
Evaluation Scheme:
1) In-Semester Assessment:
Assessment consists of two Internal Assessments (IA1, IA2) out of which; one should be compulsory class test (on minimum
02 Modules) and the other is a class test / assignment on case studies / course project.
Mid Semester Examination (MSE) will be based on 40-50% of the syllabus.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
82
2) End-Semester Examination:
Question paper will comprise of full syllabus.
In the question paper, weightage of marks will be proportional to the total number of
lecture hours as mentioned in the syllabus.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
83
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTETC202 RF and Microwave Engineering 03 -- -- 03 -- -- 03
Subject
Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration
(in Hrs) IA1 IA2 Avg. of 2
IAs
Mid Sem
Exam
MTETC202 RF and Microwave
Engineering 20 20 20 20 60 02 -- -- 100
Course Pre-requisite:
Wave Theory and Propagation
Antenna Theory
Electromagnetics Engineering
Course Description:
This course will provide state-of-art knowledge in RF circuits and microwave systems. It provides introduction to microwave
engineering, high power microwaves and milli-meter wave technologies. It presents various methodologies presently prevalent for
the design of active and passive RF circuits. It will also provide knowledge of computer aided design tools for analysis and design of
microwave circuits and devices.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
84
Course Objectives:
The aim of this course is
To provide state-of-art knowledge of elements in RF and microwave engineering.
To expose students to the current and future RF and microwave technologies.
Course Outcome:
Learners will be able to:
CO1: Understand the microwave engineering fundamentals.
CO2: Analyze and design passive lines and impedance matching networks.
CO3: Understand the operation of various microwave passive and semiconductor devices.
CO4: Understand the operation of various microwave tubes.
CO5: Develop skills of planning, design and deployment of microwave networks.
CO6: Understand the areas of Millimeter-wave technology.
Module No. Detailed Content Hrs. CO
1
Introduction to Microwaves
Microwave Frequency Bands, Characteristics and Applications. Introduction to
High Power Microwaves, Operating Regimes, systems and applications. S-
parameters: Properties and characterization.
06 CO1
2
Passive Lines and Impedance Matching Network Design
Strip lines, Microstrip lines and coupled lines: Analysis and design.
Design of Impedance matching network using lumped and distributed
parameters.
06 CO2
3
Microwave Passive and Semiconductor Devices
Passive Devices: E-plane, H-plane and Magic Tees, Hybrid ring, Directional
couplers, Attenuators and Ferrite devices.
08 CO3
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
85
Semiconductor Devices: Diodes: Varactor, PIN, Tunnel, Point Contact, Schottky
Barrier, Gunn, IMPATT, TRAPATT, and BARITT. Transistors: BJT, Hetro
junction BJT, MESFET, and HEMT.
4
Microwave Tubes
Two Cavity Klystron and Reflex Klystron. Helix Travelling Wave Tube,
Backward Wave Oscillator, Cylindrical Magnetron. Relativistic Magnetrons and
Vircators.
08 CO4
5
Microwave Network Design and Deployment
Spectrum management, Interference effects and frequency shaping, Microwave
system engineering, Digital microwave radio, Digital multiplexing, Cabling and
signal termination, Field surveys.
05 CO5
6
Introduction to millimeter-wave technology:
Millimeter-wave frequency bands, Millimeter Wave Characteristics, application of
mm-waves, Channel Performance at 60 GHz, Gigabit Wireless Communications,
Development of Millimeter Wave Standards, Coexistence with Wireless Backhaul,
atmospheric losses, Propagation and path losses, Friis equation, link budget and
power budget calculation.
06 CO6
Textbooks and References:
1. David Pozar, “Microwave Engineering”, 4th ed., Wiley Publication.
2. Matthew M. Radmanesh, “Radio Frequency and Microwave Electronics”, Pearson
Education.
3. James Benford et. al, “High Power microwave Devices”, 2nd ed., Series in Plasma Physics, Taylor and Francis.
4. F. Giannini, G. Leuzzi, “Non-linear Microwave Circuit Design”, Wiley Publication.
5. Harvey Lahpamer, “Microwave Transmission Networks Planning, Design and Deployment”, 2nd ed., Tata McGraw Hill.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
86
Evaluation Scheme:
1) In-Semester Assessment:
Assessment consists of two Internal Assessments (IA1, IA2) out of which; one should be compulsory class test (on minimum
02 Modules) and the other is a class test / assignment on case studies / course project.
Mid Semester Examination (MSE) will be based on 40-50% of the syllabus.
2) End-Semester Examination:
Question paper will comprise of full syllabus.
In the question paper, weightage of marks will be proportional to the total number of
lecture hours as mentioned in the syllabus.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
87
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTETDLO2031 Error Correcting Codes 03 -- -- 03 -- -- 03
Subject Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration (in
Hrs) IA1 IA2 Avg. of 2
IAs
Mid Sem
Exam
MTETDLO2031 Error Correcting
Codes 20 20 20 20 60 02 -- -- 100
Course Pre-requisite:
Digital Communication
Applied Mathematics
Course Description:
This course will provide students provide students a sound knowledge of traditional and modern coding theory, the motivation behind
synthesis of channel coding techniques. Students will design channel codes for the physical layer and storage applications and also design
new channel codes for wired/wireless communication systems.
Course Objectives: The aim of this course is
To provide students a sound knowledge of traditional and modern coding theory, the motivation behind synthesis of channel coding
techniques.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
88
Course Outcome: Learners will be able to:
CO1: Mathematical analysis of different types of Information sources.
CO2: Understand mathematical structure for an information channel.
CO3: Determine the minimum number of bits per symbol required to represent the source & maximum rate at for reliable communication.
CO4: Design channel codes for the physical layer and storage applications.
CO5: Design new channel codes for wired/wireless communication systems.
CO6: Design burst-correcting codes.
Module No. Detailed Content Hrs. CO
1
Entropy and Information:
Structure in Randomness, First Concepts of Probability Theory, Units of Entropy Joint
Probability Distribution Functions, Conditional Probability and Bayes’ Theorem,
Conditional Probability Distributions and Conditional, Entropy Information Sources,
Memoryless Information Sources, Markov Sources and n-gram Models, Stationary
Distributions, Entropy of Markov Sources, Sequences of Symbols, The Adjoint Source of
a Markov Source, Extensions of Sources, Infinite Sample Space.
7 CO1
2
Information channels:
BSC and BEC Channels, Mutual Information, Noiseless and Deterministic Channels,
Additivity of Mutual Information, Channel Capacity, Continuous Channels and Gaussian
Channels Information Capacity Theorem, Rate Distortion Theory.
6 CO2
3
Source Coding:
Instantaneous Codes, The Kraft Inequality and McMillan’s Theorem, Average Length and
Compact Codes, Shannon’s Noiseless Coding, Fano Coding, Huffman Coding, Arithmetic
Coding, Higher-order Modelling.
6 CO3
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
89
4
Fundamentals of Channel Coding
Code Rate, Decoding Rules, Hamming Distance, Bounds on, Maximal Codes and Perfect
Codes, Error, Shannon’s Fundamental Coding Theorem.
7 CO4
5
Error-Correcting Codes
Linear Codes, Encoding and Decoding, Codes Derived from Hadamard Matrices, Cyclic
Codes, Encoding and Decoding of Cyclic Codes, Convolutional Codes, Binary
Convolutional Codes, Decoding Convolutional Codes, The Viterbi Algorithm, Sequential
Decoding, Trellis Modulation, Turbo Codes.
7 CO5
6 Burst-correcting Codes
Burst of Errors, BCH codes, Reed-Solomon Codes. 6 CO6
Textbooks and References:
1. Roberto Togneri , Christopher J. S. deSilva, “Fundamentals of Information Theory and Coding Design”, Taylor and Francis e-
Library, 2006.
2. Shu Lin & Daniel J. Costello Jr., “Error Control Coding” Prentice Hall, Second Edition, 2004.
3. S. B Wicker, “Error Control Systems for Digital Communication and Storage”, Prentice Hall International, 1995.
4. Blahut R. E, “Theory and Practice of Error Control Codes”, Addisson Wesley, 1983.
5. Blahut R.E., “Algebraic codes for Data transmission”, Cambridge University Press, 2003.
Evaluation Scheme:
1) In-Semester Assessment:
Assessment consists of two Internal Assessments (IA1, IA2) out of which; one should be compulsory class test (on minimum
02 Modules) and the other is a class test / assignment on case studies / course project.
Mid Semester Examination (MSE) will be based on 40-50% of the syllabus.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
90
2) End-Semester Examination:
Question paper will comprise of full syllabus.
In the question paper, weightage of marks will be proportional to the total number of
lecture hours as mentioned in the syllabus.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
91
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTETDLOL2031 Error Correcting Codes Lab -- 02 -- -- 01 -- 01
Subject Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration
(in Hrs) IA1 IA2 Avg. of 2
IAs
Mid Sem
Exam
MTETDLOL2031 Error Correcting
Codes Lab -- -- -- -- -- -- 25 25 50
List of Suggested Experiments:
1. To study various probability density functions
2. To simulate Binary Symmetric Channel and calculate Bit Error Rate
3. Simulation of Repetition encoding and decoding and the calculation of its BER
4. Study and Implementation of Cyclic Codes using Simulation Method
5. Study and Implementation of Linear Block Coding and error detection and correction
6. Study and Implementation of BCH codes.
7. Study and implementation of REED Solomon codes.
8. Study and implementation of Technical paper from reputed Journal by using simulation tools.
Any 8 experiments have to be performed.
Assessment:
End Semester Examination: Practical/Oral examination is to be conducted by a pair of an internal and an external examiner.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
92
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTETDLO2032 Network Performance Modeling and
Simulation 03 -- -- 03 -- -- 03
Subject Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration
(in Hrs) IA1 IA2 Avg. of
2 IAs
Mid Sem
Exam
MTETDLO2032 Network Performance
Modeling and Simulation 20 20 20 20 60 02 -- -- 100
Course Pre-requisite:
Analog Communication
Digital Communication
Course Description:
This subject helps to understand the importance of Modelling and simulation. It also gives an ability to explain the architecture,
functioning capabilities of various communication networks. Compare different parameters used for communication systems and
study their impact on communication system. Explain the architecture, functioning capabilities of various communication networks.
Demonstrate an ability to evaluate design challenges and constraints issues associated with communication system.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
93
Course Objective:
The aim of this course is to let the students obtain
Understand the importance of Modelling and simulation
An ability to explain the architecture, functioning capabilities of various communication networks.
Course Outcomes: Learners will be able to…
CO1: Understand role of simulation and modelling.
CO2: Understand various Simulation Methodology.
CO3: Demonstrate an ability to evaluate design challenges and constraints issues associated with communication system.
CO4: Generations of various data signals and random numbers.
CO5: Explain the architecture, functioning capabilities of Simulation.
CO6: Explain the architecture, functioning capabilities of various communication networks.
Module No. Detailed Content Hrs. CO
1
Introduction
Concept of simulation and modelling, Roles of Simulation, Types of Simulation, Limits
of Simulation, Simulation Languages (High Level versus Low Level), Real-time
Simulation.
08 CO1
2
Simulation Methodology
Problem solving in Simulation Environment, Performance evaluation techniques,
Parameters Estimation, What-if Questions, Design, Validation Error Sources in
Simulation, Validation, Consistency, Replication, Elimination of Initial Bias, Variance
Reduction Techniques Design of Simulation Experiment: Data Stream Selection,
Simulation Length of Run, Simulation Sampling Frequency.
08 CO2
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
94
3
Digital Issues in Simulation
Quantization, Number representation, Underflow, Overflow, Processing Delay, Signal
Scaling.
05 CO3
4
Generation of Data Signals, Random Numbers and Processes
Data Sources, Symbol Mapping, Pulse Shaping, Pseudo Random Numbers, Generation
of Random Numbers, Generation of Random Variables using Common Distributions,
Generation of Random Processes, Generation of Correlated Noise.
08 CO4
5
Monte Carlo Methods Representation of Signals and Systems in Simulation
Fundamental Concepts, Monte Carlo Estimations, Monte Carlo Integration,
Convergence. 05 CO5
6
Representation of Signals and Systems in Simulation
Analog / Discrete, Baseband / Passband, Deterministic / Stochastic, Time Domain /
Frequency, Elements of Communication Systems, Basic building blocks. 05 CO6
Textbooks and References:
1. W.H. Tranter, K.S. Shanmugan, T.S. Rappaport, K.L. Kosbar, “Principles of Communication systems Simulation with Wireless
Applications”, Prentice Hall.
2. M.C. Jeruchim, P.Balaban, K.S. Shanmugan, “Simulation of Communication Systems, Modeling, Methodology and
Techniques”, Cluwer Academic Publishers, 2nd Edition 2002.
3. F.M. Gardner, J.D. Baker, “Simulation Techniques, Models of Communications, Signals and Process”, John Wiley & Sons Inc.
1974.
4. J.G. Proakis, M. Salehi, G. Bauch, “Contemporary Communication Systems Using Matlab and Simulink”, CL-Engineering 2003.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
95
Evaluation Scheme:
1) In-Semester Assessment:
Assessment consists of two Internal Assessments (IA1, IA2) out of which; one should be compulsory class test (on minimum
02 Modules) and the other is a class test / assignment on case studies / course project.
Mid Semester Examination (MSE) will be based on 40-50% of the syllabus.
2) End-Semester Examination:
Question paper will comprise of full syllabus.
In the question paper, weightage of marks will be proportional to the total number of
lecture hours as mentioned in the syllabus.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
96
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTETDLOL2032 Network Performance Modeling
and Simulation Lab -- 02 -- -- 01 -- 01
Subject Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam
Duration (in
Hrs) IA1 IA2
Avg. of
2 IAs
Mid Sem
Exam
MTETDLOL2032
Network Performance
Modeling and Simulation
Lab
-- -- -- -- -- -- 25 25 50
List of Suggested Experiments:
1. Study and Analysis of different types of Analog Communication Circuit using Simulation Software (any two circuits).
2. Study and Analysis of different of Digital Communication Systems using Simulation Software (any three).
3. Study and Analysis of Frequency hopped Spread Spectrum System.
4. Study and Analysis of Direct Sequence Spread Spectrum System.
5. Study and Designing of Equalizers for Digital Communication.
6. Study of Eye Pattern using Simulation.
7. Study and Implementation of Convolution Codes using Simulation.
8. Study and Implementation of Cyclic Codes using Simulation Method.
9. Study and Implementation of Linear Block Codes using Simulation.
10. Study and Implementation of Optimum Receiver used for Digital Communication.
11. Study and Implementation of Lempel Algorithm using Simulation.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
97
12. Study and Design of Band Limited Signals with controlled ISI.
Any 8 experiments have to be performed.
Assessment:
End Semester Examination: Practical/Oral examination is to be conducted by a pair of an internal and an external examiner.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
98
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTETDLO2033 Image Processing and Computer
Vision 03 -- -- 03 -- -- 03
Subject Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration
(in Hrs) IA1 IA2 Avg. of 2
IAs
Mid Sem
Exam
MTETDLO2033 Image Processing and
Computer Vision 20 20 20 20 60 02 -- -- 100
Course Pre-requisite:
Digital Signal Processing
Digital Image Processing
Course Description:
This subject helps to review image processing techniques for computer vision, understand shape and region analysis. It also helps to
understand Hough Transform and its applications to detect lines, circles, ellipses. To understand three-dimensional image analysis
techniques. Implement fundamental image processing techniques required for computer vision. Develop applications using computer
vision techniques.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
99
Course Objective: The aim of this course is to let the students obtain
To review image processing techniques for computer vision.
To understand shape and region analysis.
To understand the Hough Transform and its applications to detect lines, circles, ellipses.
To understand three-dimensional image analysis techniques.
To understand motion analysis.
To study some applications of computer vision algorithms.
Course Outcomes:
Learners will be able to…
CO1: Implement fundamental image processing techniques required for computer vision.
CO2: Analyze shapes, regions and Implement boundary tracking techniques.
CO3: Apply Hough Transform for line, circle, and ellipse detections.
CO4: Apply 3D vision techniques.
CO5: Implement motion related techniques.
CO6: Develop applications using computer vision techniques.
Module No. Detailed Content Hrs. CO
1
Image Processing Foundations
Review of image processing techniques, Classical filtering operations, thresholding
techniques, edge detection techniques, corner and interest point detection, mathematical
morphology, texture.
06 CO1
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
100
2
Shapes and Regions
Binary shape analysis, connectedness, object labeling and counting, size filtering, distance
functions, skeletons and thinning, deformable shape analysis, boundary tracking
procedures, active contours, shape models and shape recognition, centroidal profiles,
handling occlusion, boundary length measures. boundary descriptors, chain codes, Fourier
descriptors, region descriptors, moments.
07 CO2
3
Hough Transform
Line detection, Hough Transform (HT) for line detection, foot-of-normal method, line
localization, line fitting, RANSAC for straight line detection, HT based circular object
detection, accurate center location, speed problem, ellipse detection, Case study: Human
Iris location, hole detection, generalized Hough Transform (GHT), spatial matched
filtering, GHT for ellipse detection, object location, GHT for feature collation.
07 CO3
4
3D Vision
Methods for 3D vision, projection schemes, shape from shading, photometric stereo, shape
from texture, shape from focus, active range finding, surface representations, point-based
representation, and volumetric representations.
06 CO4
5
3D Object recognition and motion
3D object recognition, 3D reconstruction, introduction to motion, triangulation, bundle
adjustment, translational alignment, parametric motion, spline-based motion, optical flow,
layered motion.
05 CO5
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
101
5
Applications
Application: Photo album, Face detection, Face recognition, Eigen faces, Active
appearance and 3D shape models of faces Application: Surveillance, foreground-
background separation, particle filters, Chamfer matching, tracking, and occlusion,
combining views from multiple cameras, human gait analysis Application: In-vehicle
vision system: locating roadway, road markings, identifying road signs, locating
pedestrians.
08 CO6
Textbooks and References: 1. D. L. Baggio et al., “Mastering OpenCV with Practical Computer Vision Projects”, Packt Publishing, 2012.
2. E. R. Davies, “Computer & Machine Vision”, Fourth Edition, Academic Press, 2012.
3. Jan Erik Solem, “Programming Computer Vision with Python: Tools and algorithms for analyzing images”, O'Reilly Media, 2012.
4. Mark Nixon and Alberto S. Aquado, “Feature Extraction & Image Processing for Computer Vision”, Third Edition, Academic
Press, 2012.
5. R. Szeliski, “Computer Vision: Algorithms and Applications”, Springer 2011.
6. Simon J. D. Prince, “Computer Vision: Models, Learning, and Inference”, Cambridge University Press, 2012.
Evaluation Scheme:
1) In-Semester Assessment:
Assessment consists of two Internal Assessments (IA1, IA2) out of which; one should be compulsory class test (on minimum
02 Modules) and the other is a class test / assignment on case studies / course project.
Mid Semester Examination (MSE) will be based on 40-50% of the syllabus.
2) End-Semester Examination:
Question paper will comprise of full syllabus.
In the question paper, weightage of marks will be proportional to the total number of
lecture hours as mentioned in the syllabus.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
102
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTETDLOL2033 Image Processing and Computer
Vision Lab -- 02 -- -- 01 -- 01
Subject Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration
(in Hrs) IA1 IA2 Avg. of
2 IAs
Mid Sem
Exam
MTETDLOL2033 Image Processing and
Computer Vision Lab -- -- -- -- -- -- 25 25 50
List of Suggested Experiments:
1. Implement image Pre-processing and Edge detection
2. Implement camera calibration methods
3. Implement Projection
4. Determine depth map from Stereo pair
5. Construct 3D model from Stereo pair
6. Implement Segmentation methods
7. Construct 3D model from defocus image
8. Construct 3D model from Images
9. Implement optical flow method
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
103
10. Implement object detection and tracking from video
11. Face detection and Recognition
12. Object detection from dynamic Background for Surveillance
13. Content based video retrieval
14. Construct 3D model from single image
Any 8 experiments have to be performed.
Assessment:
End Semester Examination: Practical/Oral examination is to be conducted by a pair of an internal and an external examiner.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
104
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTETDLO2034 Antenna Analysis and Synthesis 03 -- -- 03 -- -- 03
Subject Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration
(in Hrs) IA1 IA2 Avg. of 2
IAs
Mid Sem
Exam
MTETDLO2034 Antenna Analysis and
Synthesis 20 20 20 20 60 02 -- -- 100
Course Pre-requisite:
● Electromagnetic Theory
● Computational Electromagnetics
● Antenna Theory
● Microwave Engineering
Course Description:
The aim of this course is to provide knowledge of advanced antennas and radiating systems applicable to broadband, mobile
communications and smart antenna applications, state-of-art knowledge in microstrip antennas and also explain various methodologies
presently prevalent for design of microstrip antennas. To enable students to make design decisions in microstrip antenna arrays. Correlate
the fundamental design of an antenna to advanced communication applications.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
105
Course Objectives:
The aim of this course is to provide knowledge of advanced antennas and radiating systems applicable to broadband, mobile
communications and smart antenna applications.
Course Outcome: Learners will be able to:
CO1: Understand planar antennas.
CO2: Design planar array.
CO3: Understand the design of broadband antennas.
CO4: Analyze the operation of aperture antennas.
CO5: Apply array theory.
CO6: Evaluate role of antennas for mobile communication.
Module No. Detailed Content Hrs. CO
1
Planar Antennas
Microstrip rectangular and circular patch antennas- Analysis and design, feeding
methods, circularly polarized microstrip antennas, Broadbanding techniques, and printed
slot antennas.
08 CO1
2
Planar Antenna Array
Linear array; Broadside and end fire arrays; Self and mutual impedance of between
linear elements, grating lobe considerations, Array factor, beamwidth, directivity.
Microstrip patch arrays and feed networks, Electronic scanning.
10 CO2
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
106
3
Broadband & Aperture Antennas
Folded dipole, Sleeve dipole, Biconical antenna- Analysis, characteristics, matching
techniques, Yagi array of linear elements and printed version, Log-periodic dipole array.
Frequency Independent Antennas- Planar spiral antenna, Log periodic dipole array,
Fractal Antennas, Field equivalence principle, Babinet’s principle, Rectangular
waveguide, horn antenna, parabolic reflector antenna, Travelling wave antennas.
10 CO3
4
Antenna Synthesis
Continuous Sources, Schelkunoff Polynomial Method, Fourier Transform Method
Broadband Dipoles and Matching Techniques, Biconical Antenna, Triangular Sheet,
Bow-Tie, Cylindrical Dipole, Folded Dipole, Discone and Conical Skirt Monopole,
Matching Techniques.
08 CO4
5
Diversity Schemes & Combining Techniques:
Macroscopic diversity scheme, Microscopic diversity scheme – Space diversity, Field
diversity, Polarization diversity, Angle diversity, Frequency diversity and time diversity
scheme, Combining techniques for Macroscopic diversity, Combining techniques for
Microscopic diversity – Selective combining, Switched combining, Maximal ratio
combining, equal gain combining and feed combining technique.
06 CO5
6
Smart Antennas & Antennas for mobile communication
Smart-antenna analogy, Signal Propagation, Antenna beamforming, Handset antennas,
Base station antennas. Beam steering and antennas for MIMO applications; Active
microstrip antennas.
06 CO6
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
107
Textbooks and References:
1. C. A. Balanis, “Antenna Theory and Design”, John Wiley & Sons, 1997.
2. J.D. Kraus, “Antennas”, McGraw-Hill, 1988.
3. R.A. Sainati, “CAD of Microstrip Antennas for Wireless Applications”, Artech House, 1996.
4. R. Garg, P. Bharhia, I. Bahl, and A. Ittipiboo, “Microstrip Antenna design Handbook”,
Artech House.
5. J. R. James, P.S. Hall and C.Wood, “Microstrip Antennas: Theory & Design”, Peter Peregrinns , UK.
6. Jordan, E.C. and Balmain, K.G., “Electromagnetic Waves and Radiating Systems”, 2nd ed., Prentice-Hall of India.
7. Stutzman, W.L. and Thiele, H.A., “Antenna Theory and Design”, 2nd ed., John Wiley & Sons.
8. Elliot, R.S., “Antenna Theory and Design”, Revised edition, Wiley IEEE Press.
Evaluation Scheme:
1) In-Semester Assessment:
Assessment consists of two Internal Assessments (IA1, IA2) out of which; one should be compulsory class test (on minimum
02 Modules) and the other is a class test / assignment on case studies / course project.
Mid Semester Examination (MSE) will be based on 40-50% of the syllabus.
2) End-Semester Examination:
Question paper will comprise of full syllabus.
In the question paper, weightage of marks will be proportional to the total number of
lecture hours as mentioned in the syllabus.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
108
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTETDLOL2034 Antenna Analysis and Synthesis Lab -- 02 -- -- 01 -- 01
Subject Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration
(in Hrs) IA1 IA2 Avg. of 2
IAs
Mid Sem
Exam
MTETDLOL2034 Antenna Analysis and
Synthesis Lab -- -- -- -- -- -- 25 25 50
List of Suggested Experiments:
1. To study different antenna parameters using PC based automated antenna measurement technique.
2. To study and measure different antennas using MATLAB code.
3. To study and measure Input Impedance of an Antenna.
4. To study different parameters of Pyramidal and Conical Horn antennas.
5. To study and measure array antenna characteristics.
6. To simulate and test different parameters of Rectangular Microstrip antenna by EM software.
7. To simulate and test different parameters of Circular Microstrip antenna by EM software.
8. To simulate and test different parameters of Microstrip Monopole antenna by EM software.
9. To simulate and test different parameters of Pyramidal Horn antenna by EM software.
10. To study and measure different antennas using Vector network analyzer (VNA).
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
109
Any 8 experiments have to be performed.
Assessment:
End Semester Examination: Practical/Oral examination is to be conducted by a pair of an internal and an external examiner.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
110
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTETDLO2041 MIMO Wireless Communications 03 -- -- 03 -- -- 03
Subject Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration
(in Hrs) IA1 IA2 Avg. of 2
IAs
Mid Sem
Exam
MTETDLO2041 MIMO Wireless
Communications 20 20 20 20 60 02 -- -- 100
Course Pre-requisite:
Wireless Communication
Course Description:
This subject provides an introduction to multiple antennas based wireless communications. The course covers fundamentals of multiple‐
input multiple‐output (MIMO) communication system. The basic quantities like diversity, coding gain, array gain are introduced. The
error rate of the MIMO systems is analyzed in detail. The concept of transmit and receive diversity, beamforming and combining, and
space‐time block code are also thoroughly explained. The precoder design and multiuser MIMO is also covered.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
111
Course Objectives:
To understand an introduction to multiple antennas based wireless communications.
To apply fundamentals of multiple‐input multiple‐output (MIMO) communication system.
To apply basic quantities like diversity, coding gain, array gain.
To analyze error rate of the MIMO systems in detail.
To understand the concept of transmit and receive diversity, beamforming and combining, and space‐time block code.
To evaluate precoder design and multiuser MIMO.
Course Outcome:
Learners will be able to:
CO1: Understand fundamentals of MIMO Wireless Systems.
CO2: Apply MIMO information Theory. CO3: Analyze space-time coding and error analysis in MIMO systems.
CO4: Evaluate linear STBD.
CO5: Understand the performance of MIMO receivers.
CO6: Understand Multiuser MIMO systems
Module No. Detailed Content Hrs. CO
1
Introduction:
Introduction to MIMO wireless systems and space‐time diversity, Diversity-
multiplexing trade-off, transmit diversity schemes, advantages and applications of
MIMO systems.
06 CO1
2
Analytical MIMO channel models & Power allocation in MIMO systems:
Uncorrelated, fully correlated, separately correlated and keyhole MIMO fading
models, parallel decomposition of MIMO channel, Uniform, adaptive and near
08 CO2
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
112
optimal power allocation
3
MIMO channel capacity:
Capacity for deterministic and random MIMO channels, Capacity of I.I.D.,
separately correlated and keyhole Rayleigh fading MIMO channels, MIMO
channel, MIMO information theory, Uniform, Error probability analysis.
10 CO3
4
Space-Time codes:
Advantages, code design criteria, Alamouti space-time codes, SER analysis of
Alamouti space-time code over fading channels, Space-time block codes, Space-
time trellis codes, Performance analysis of Space-time codes over separately
correlated MIMO channel, Space-time turbo codes.
10 CO4
5
MIMO detection:
ML, ZF, MMSE, ZF-SIC, MMSE-SIC, LR based detection, BER performance of
ZF receiver, transmit beamforming in MISO systems, BER of Alamouti coded
system, singular value decomposition (SVD), SVD in MIMO.
08 CO5
6
MIMO wireless communications:
Spatial modulation, MIMO based cooperative communication and cognitive radio,
multiuser MIMO, cognitive-femtocells and large MIMO systems for 5G wireless.
06 CO6
Textbooks and References:
1. R. S. Kshetrimayum, “Fundamentals of MIMO Wireless Communications”, Cambridge University Press, 2017.
2. E. G. Larsson and P. Stoica, “Information Theory, Space‐Time Block Coding for Wireless Communications”, Cambridge
University Press, 2003.
3. Paulraj, R. Nabar and D. Gore, “Introduction to Space‐Time Wireless Communications”, Cambridge Univ. Press, 2003.
4. A. Chokhalingam and B. S. Rajan, “Large MIMO systems”, Cambridge University Press, 2014.
5. B. Kumbhani and R. S. Kshetrimayum, “MIMO Wireless Communications over Generalized Fading Channels”, CRC Press, 2017.
6. T. L. Marzetta, E. G. Larsson, H. Yang and H. Q. Ngo, “Fundamentals of Massive MIMO”, Cambridge University Press, 2016.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
113
Evaluation Scheme:
1) In-Semester Assessment:
Assessment consists of two Internal Assessments (IA1, IA2) out of which; one should be compulsory class test (on minimum
02 Modules) and the other is a class test / assignment on case studies / course project.
Mid Semester Examination (MSE) will be based on 40-50% of the syllabus.
2) End-Semester Examination:
Question paper will comprise of full syllabus.
In the question paper, weightage of marks will be proportional to the total number of
lecture hours as mentioned in the syllabus.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
114
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTETDLOL2041 MIMO Wireless Communications
Lab -- 02 -- -- 01 -- 01
Subject Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration
(in Hrs) IA1 IA2 Avg. of
2 IAs
Mid Sem
Exam
MTETDLOL2041 MIMO Wireless
Communications Lab -- -- -- -- -- -- 25 25 50
List of Suggested Experiments:
1. To Study and Compare various Modulation Schemes for MIMO in Wireless Communication.
2. To Study and implement coding and diversity gain for MIMO
3. To Study and implement Spatial multiplexing OFDM with MIMO
4. To Study 4*4 TAS SM MIMO System
5. To Study Narrowband MIMO System for 2*2 MIMO
6. To Study Frame Detection & Frequency Offset Correction.
7. To Study Synchronization and Channel Coding in OFDM Systems.
8. To Study Alamouti Space – Time codes for MIMO
9. To Study Analytical MIMO Channel model(iid model)
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
115
10. Vlab experiment on MIMO in Wireless Communication
11. Study and Implementation of technical paper from the reputed Journal related to MIMO
in Wireless Communication by using any Simulator/tool
Any 8 experiments have to be performed.
Assessment:
End Semester Examination: Practical/Oral examination is to be conducted by a pair of an internal and an external examiner.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
116
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTETDLO2042 Network and Cyber Security 03 -- -- 03 -- -- 03
Subject Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration
(in Hrs) IA1 IA2 Avg. of 2
IAs
Mid Sem
Exam
MTETDLO2042 Network and Cyber
Security 20 20 20 20 60 02 -- -- 100
Course Pre-requisite:
Computer Communication Networks
Operating System
Probability Theory and Random Processes
Course Description:
In this course students are introduced to advanced techniques to implement security mechanisms using IDS, Firewall, and Antivirus
and Biometrics, Incident handling and Forensics. Describe security threats and apply security techniques using cryptosystems. Explain
the key terms and concepts in cyber law, intellectual property and cybercrimes, trademarks and domain theft. Build and configure
firewall and intrusion detections systems using GNU open source security tools.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
117
Course Objectives:
The aim of this course is
To introduce advanced techniques to implement security mechanisms using IDS, Firewall, and Antivirus and Biometrics, Incident
handling and Forensics
To discuss security implications on Organizations, security standards and Cyber laws.
Course Outcome:
Learners will be able to:
CO1: Understand the broad set of technical, social & political aspects of Cyber Security.
CO2: Describe security threats and apply security techniques using cryptosystems.
CO3: Explain the key terms and concepts in cyber law, intellectual property and cyber crimes, trademarks and domain theft.
CO4: Build and configure firewall and intrusion detections systems using GNU open source security tools.
CO5: Incorporate approaches for incident analysis and response, for risk management and best practices and digital evidence
collection, and evidentiary reporting in forensic acquisition.
CO6: Recognized the role security management plays in cyber security defense.
Module No. Detailed Content Hrs. CO
1
Introduction to Network and Cyber Security
Need for network security, Attacks and Their classification, Network Vulnerabilities and
control, Security services and mechanisms, Impact of Security on Enterprises, Risk Factors
and Cost Analysis.
5
CO1
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
118
2
Cryptography andCryptosystems
Classical and modern cryptography, stream and block ciphers, Message digest, digital
signature, digital certificate, certificate authority, cryptanalysis,
DES/AES/RSA/RC4/MD5/SHA algorithms, Secure protocols SSL, IPSec, VPN, PKI,
Implementing security using symmetric and Public-Key cryptography.
6 CO2
3
Ethical Hacking and Network Differences
Cybercrimes, Cybercriminals, Cyberoffences, Cybercrimes in Mobile and Wireless
Devices, Tools and Methods used in Cybercrimes, Network reconnaissance, scanning and
sniffing, gaining access, Security Technologies: Firewall, IDS and Antivirus, Reverse
proxy, L7 content filtering firewall, NAT & reverse proxy, Firewall deployment and
limitations, selection of firewalls. Performance analysis of firewall, Signature and Anamoly
based IDSs, IDS deployment, zone diagram, performance analysis of IDS, strengths and
limitations of IDS, Biometrics for security.
6 CO3
4
Cybersecurity Principles and best Practices
Layered Defense, Surveillance and Reconnaissance Outsider/Internal Threat
Protection, Privacy, Intellectual Property, Professional Ethics, Freedom of Speech, Fair
User and Ethical Hacking, Trademarks, Internet Fraud, Electronic Evidence.
8 CO4
5
Cybersecurity Implications on Organizations, Standards and Cyber laws
Risk Management: Asset Evaluation and Business Impact Analysis, Risk Identification,
Risk Quantification, Risk Response Development and Control Security Policy,
Compliance, and Business Continuity, Cyber Incident Preparation: Incident Detection and
Analysis, Containment, Eradication, and Recovery ,Proactive and Post- Incident Cyber
Services, Forensics: Forensic Technologies, Digital Evidence Collection, Evidentiary
Reporting, The Indian IT Act and new amendments.
8 CO5
6
System Security and Case Study
Security Operations Center (SOC), Network Operations Center (NOC), Network Security
Audit, SET, Biometric Security, Digital Immune System, Cloud Security. Wi-Fi Security,
Mobile and Cellular Security.
6 CO6
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
119
Textbooks and References:
1. Behrouz Forouzan, “Cryptography and Network Security”, McGraw Hill Publications.
2. Pfleeger and Pfleeger, “Security in Computing”, Pearson Publications.
3. M. Whitman, “Management of Information Security”, Cengage Publications.
4. B. Menezes, “Network Security and Cryptography”, Cengage Learning India.
5. Matt Bishop, “Computer Security”, Pearson Publication.
6. William Stallings, “Cryptography and Network Security”, Pearson publications.
7. Nina Godbole, “Cyber Security”, John Wiley Publications.
8. Mark Stamp and Deven Shah, “Information Security: Principles and Practice”, 2nd edition.
9. Houston Carr and Charles Snyder, “Data Communication & Network Security”, McGraw-Hill Publication.
Evaluation Scheme:
1) In-Semester Assessment:
Assessment consists of two Internal Assessments (IA1, IA2) out of which; one should be compulsory class test (on minimum
02 Modules) and the other is a class test / assignment on case studies / course project.
Mid Semester Examination (MSE) will be based on 40-50% of the syllabus.
2) End-Semester Examination:
Question paper will comprise of full syllabus.
In the question paper, weightage of marks will be proportional to the total number of
lecture hours as mentioned in the syllabus.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
120
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTETDLOL2042 Network and Cyber Security Lab -- 02 -- -- 01 -- 01
Subject Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration
(in Hrs) IA1 IA2 Avg. of 2
IAs
Mid Sem
Exam
MTETDLOL2042 Network and Cyber
Security Lab -- -- -- -- -- -- 25 25 50
List of Suggested Experiments:
Any 8 experiments based on the entire syllabus.
Assessment:
End Semester Examination: Practical/Oral examination is to be conducted by a pair of an internal and an external examiner.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
121
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTETDLO2043 Data Science 03 -- -- 03 -- -- 03
Subject Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration (in
Hrs) IA1 IA2 Avg. of 2
IAs
Mid Sem
Exam
MTETDLO2043 Data Science 20 20 20 20 60 02 -- -- 100
Course Pre-requisite:
Matrix theory
Linear Algebra
Basic Set theory
Course Description:
This subject enable student to understand different techniques related to data science. It also makes students become acquainted with
numerical methods and matrix computation strategies, gain basic knowledge about the key algorithms and theory that forms the
foundation of data science. Apply the algorithms to a real-world problem, optimize the models learned and report on the expected
accuracy that can be achieved by applying the models.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
122
Course Objective:
The aim of this course is to let the students obtain
To enable students to understand different techniques related to data science.
To make students become acquainted with numerical methods and matrix computation strategies.
To gain basic knowledge about the key algorithms and theory that forms the foundation of data science.
Course Outcomes:
Learners will be able to…
CO1: Understand the fundamentals data analysis.
CO2: Analyze predictive modeling as applied to data science.
CO3: Analyze fitting model to data.
CO4: Understand model performance parameters and its use.
CO5: Apply and explore data visualization methods.
CO6: Analyze and create data analysis applications.
Module No. Detailed Content Hrs. CO
1
Introduction to data science:
Ubiquity of data opportunities, Data Processing and Big Data, Data Understanding and
Preparation, Data querying
Data Warehousing, Regression Analysis
06 CO1
2
Introduction to predictive Modeling from correlation to supervised segmentation:
Fundamental concepts: Identifying informative attributes, - correlation, attribute / variable
selection, Select Informative attributes – attribute selection with information gain. 08 CO2
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
123
3
Fitting model to data:
Finding optimal model parameters based on data, optimizing objective function, Loss
function, linear discriminant function for scoring and ranking instances, Class probability
estimation and logistic regression, Nonlinear functions.
07 CO3
4
Overfitting and its Avoidance:
Generalization, fitting and overfitting, complexity control, Holdout data, why is overfitting
Bad? Holdout Evolution to Cross Validation, Leaning Curves Overfitting avoidance and
complexity control, General methods for overfitting for parameter Optimization.
05 CO4
5
Decision analytic Thinking:
Various evaluation matrix, Estimation Cost and Benefits, creating baseline methods for
comparison. Plain Accuracy and its problem, Confusion Matrix, Problem with unbalance
data.
05 CO5
6
Visualizing Model Performance:
Visualization of model performance of model performance under various kind of
uncertainty, Profit curves, cumulative response curve, lift curve.
Area Under the ROC Curve (AUC).
08 CO6
Textbooks and References:
1. B. L. S. Prakasa Rao, “A First Course in Probability and Statistics”, World Scientific, Cambridge University Press India, 2009.
2. L. Elden, “Matrix Methods in Data Mining and Pattern Recognition”, SIAM, Philadelphia, 2007.
3. L. N. Trefethen and David Bau, “Numerical Linear Algebra”, SIAM, Philadelphia, 1997.
4. D. S. Watkins, “Fundamentals of Matrix Computation”, 2nd Edition, Wiley, 2002.
5. Ian Goodfellow and Yoshua Bengio and Aaron Courville. “Deep Learning (DL)”, MIT Pess, 2016 (individual chapters freely
available online).
6. Mitchell, Tom, “Machine Learning” Tata McGraw-Hill, 2017.
7. Russell and Norvig, “Artificial Intelligence”, Third Edition, Prentice Hall, 2015.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
124
Evaluation Scheme:
1) In-Semester Assessment:
Assessment consists of two Internal Assessments (IA1, IA2) out of which; one should be compulsory class test (on minimum
02 Modules) and the other is a class test / assignment on case studies / course project.
Mid Semester Examination (MSE) will be based on 40-50% of the syllabus.
2) End-Semester Examination:
Question paper will comprise of full syllabus.
In the question paper, weightage of marks will be proportional to the total number of
lecture hours as mentioned in the syllabus.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
125
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTETDLOL2043 Data Science Lab -- 02 -- -- 01 -- 01
Subject Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration (in
Hrs) IA1 IA2 Avg. of 2
IAs
Mid Sem
Exam
MTETDLOL2043 Data Science
Lab -- -- -- -- -- -- 25 25 50
List of Suggested Experiments:
1. Introduction to python tool for data analytics science
2. basic statistics and visualization in python
3. implement linear and logistic regression
4. naive bayesian classifier
5. implement svm / decision tree classification techniques
6. implement clustering techniques
7. simulate principal component analysis
8. simulate singular value decomposition
9. visualize data using any plotting framework
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
126
Any 8 experiments have to be performed.
Assessment:
End Semester Examination: Practical/Oral examination is to be conducted by a pair of an internal and an external examiner.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
127
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTETDLO2044 Microwave Measurement & Design 03 -- -- 03 -- -- 03
Subject Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration
(in Hrs) IA1 IA2 Avg. of 2
IAs
Mid Sem
Exam
MTETDLO2044 Microwave
Measurement & Design 20 20 20 20 60 02 -- -- 100
Course Pre-requisite:
● Electromagnetic Theory
● Computational Electromagnetics
● Antenna Theory
● Microwave Engineering
Course Objectives:
The aim of this course is to understand the concepts of microwave network analysis, Methods and limitation of different microwave
parameter measurement, understanding of Vector network analyzer, design various impedance matching devices and knowledge of
passive microwave components. Learners will also be able to apply basic microwave laboratory set up along with measurement of
parameters and apply VNA in the measurement of S parameters of different microwave devices.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
128
Course Objectives:
The aim of this course is to understand the concepts of microwave network analysis, Methods and limitation of different microwave
parameter measurement, understanding of Vector network analyzer, design various impedance matching devices and knowledge of
passive microwave components.
Course Outcome:
Learners will be able to:
CO1: Understand gain proficiency regarding microwave circuit concepts.
CO2: Understand the relation between different parameters in microwave circuits.
CO3: Design impedance matching networks.
CO4: Understand passive microwave components.
CO5: Apply basic microwave laboratory set up along with measurement of parameters.
CO6: Apply VNA in the measurement of S parameters of different microwave devices
Module No. Detailed Content Hrs. CO
1
Introduction: Introduction to microwave circuit concepts, Relation between [s], [z], [y]
parameter, Microwave circuits & theorems, Impedance matching, Passive microwave
components
8 CO1
2
Wavelength, Impedance, Power and Frequency Measurement: Methods of
wavelength measurements- Equivalent circuit of Cavity wave meters, Typical wave
meters, resonant cavities, Impedance measurement techniques, Reflectometer, Methods
of power measurements- bolometer, bridge balance technique, Calorimetric watt
meters, Methods of frequency measurements direct method - Interpolation method,
Standard wave reflectors, Measurement of reflection coefficient, Low, Medium, High
VSWR measurements, Standing wave pattern, Slotted Line section and its limitation.
10 CO2
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
129
3
Material Characterization through Microwave Measurements: Reflection Methods:
Coaxial-Line Reflection Method, Free-Space Reflection Method, Measurement of Both
Permittivity and Permeability Using Reflection Methods, Transmission/Reflection
Methods: Theory for Transmission/Reflection Methods, Coaxial AirLine Method
,Hollow Metallic Waveguide Method, Surface Waveguide Method , Free-Space Method,
Resonator Methods: Dielectric Resonator Methods, Coaxial Surface-Wave Resonator
Methods, Split-Resonator Method, Planar-Circuit Methods: Introduction, Stripline
Methods, Microstrip Methods, Coplanar-Line Methods.
10 CO3
4
Vector Network Analyzer: Vector Network analyzer, Concept and description,
Reflection and Transmission measurements, magnitude and Phase, measurement of S-
Parameters, SWR and Impedances measurements, errors and corrections.
08 CO4
5 Antennas measurements: Experimental set ups for measurement of radiation patterns,
gain, phase polarization, terminal impedance. 06 CO5
6
Microwave Integrated Circuit (MIC) Measurement: MIC Measurement, Testing and
Applications: MIC measurement system, measurement techniques – S parameter
measurement, noise measurement, MIC applications.
06 CO6
Textbooks and References:
1. J.L. Altmen, D van, “Microwave circuit”, Nostrand Co., Inc.
2. R. E. Collins, “Foundations for microwave engineering”, John Wiley & Sons.
3. R. N. Ghosh, “Microwave Circuit Theory and Analysis”, McGraw Hill.
4. L. F. Chen, C. K. Ong, C. P. Neo, V. V. Varadan, Vijay K. Varadan, “Microwave Electronics: Measurement and Materials
Characterization”, John Wiley.
5. Joel P. Dunsmore, “Microwave Component Measurements (with Advanced VNA Techniques)”, Course Slides/Lab Handouts.
6. R.J. Collier, “Skinner, Microwave Measurements”, A.D. (3rd Edition).
7. Scott A. Wartenberg, “RF Measurements of Die and Packages”.
8. Gary E. Evans, “Antenna Measurement Techniques”.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
130
Evaluation Scheme:
1) In-Semester Assessment:
Assessment consists of two Internal Assessments (IA1, IA2) out of which; one should be compulsory class test (on minimum
02 Modules) and the other is a class test / assignment on case studies / course project.
Mid Semester Examination (MSE) will be based on 40-50% of the syllabus.
2) End-Semester Examination:
Question paper will comprise of full syllabus.
In the question paper, weightage of marks will be proportional to the total number of
lecture hours as mentioned in the syllabus.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
131
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTETDLOL2044 Microwave Measurement & Design
Lab -- 02 -- -- 01 -- 01
Subject Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration
(in Hrs) IA1 IA2 Avg. of
2 IAs
Mid Sem
Exam
MTETDLOL2044 Microwave Measurement
& Design Lab -- -- -- -- -- -- 25 25 50
List of Suggested Experiments:
1. To study and measure Wavelength, Impedance and frequency.
2. To study and measure S-parameter with Vector Network Analyzer
3. To study Material Characterization through Microwave Measurements.
4. To study and measure Microwave Active Components.
5. To study and measure antenna characteristics.
6. To study and measure characterization of Amplifier through S-parameter measurements.
7. To study and measure Power spectrum, noise and non-linearity of Amplifier.
8. To study PCB manufacturing for microwave circuits and antennas.
9. To study and test characterization of circuits through RF probes.
10. To study and test high frequency antenna characterization in anechoic chamber.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
132
Any 8 experiments have to be performed.
Assessment:
End Semester Examination: Practical/Oral examination is to be conducted by a pair of an internal and an external examiner.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
133
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTILO2021 Research Methodology 03 -- -- 03 -- -- 03
Subject
Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration (in
Hrs) IA1 IA2 Avg. of 2
IAs
Mid Sem
Exam
MTILO2021 Research
Methodology 20 20 20 20 60 02 -- -- 100
Course Pre-requisite: None
Course Description:
The objective of this course is to understand the Research Process and Methodology. It is aimed to enable students to identify research
problems and develop approaches for solving the research problems. It also introduces techniques for data collection, analysis and
interpretation. In this way this course enables the students to perform research.
Course Objectives:
To understand Research and Research Process
To acquaint students with identifying problems for research and develop research strategies
To familiarize students with the techniques of data collection, analysis of data and interpretation
To understand and apply different techniques for formulating research problem
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
134
Course Outcomes: - At the end of the course learner will able to
CO1: Understand basics of research concepts including objectives, issues and problems
CO2: Summarize and compare different types of research
CO3: Prepare a preliminary research design for projects in their subject matter areas
CO4: Accurately collect, analyze and report data
CO5: Present complex data or situations clearly
CO6: Review and analyze research findings
Module
No. Detailed Content Hrs. CO
1
Introduction and Basic Research Concepts
1.1 Research – Definition; Concept of Construct, Postulate, Proposition, Thesis, Hypothesis, Law,
Principle.Research methods vs Methodology
1.2 Need of Research in Business and Social Sciences
1.3 Objectives of Research
1.4 Issues and Problems in Research
1.5 Characteristics of Research:Systematic, Valid, Verifiable, Empirical and Critical.
07 CO1
2
Types of Research
2.1. Basic Research
2.2. Applied Research
2.3. Descriptive Research
2.4. Analytical Research
2.5. Empirical Research
2.6 Qualitative and Quantitative Approaches
07 CO2
3
Research Design and Sample Design
3.1 Research Design – Meaning, Types and Significance
3.2 Sample Design – Meaning and Significance Essentials of a good sampling
3.3 Stages in Sample Design Sampling methods/techniques Sampling Errors
07 CO3
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
135
4
Research Methodology
4.1 Meaning of Research Methodology
4.2. Stages in Scientific Research Process:
A. Identification and Selection of Research Problem
B. Formulation of Research Problem
C. Review of Literature
D. Formulation of Hypothesis
E. Formulation of research Design
F. Sample Design
G. Data Collection
H. Data Analysis
I. Hypothesis testing and Interpretation of Data
J. Preparation of Research Report
08 CO4
5
Formulating Research Problem
5.1 Considerations: Relevance, Interest, Data Availability, Choice of data,
5.2 Analysis of data, Generalization and Interpretation of analysis 05 CO5
6
Outcome of Research
6.1 Preparation of the report on conclusion reached
6.2 Validity Testing & Ethical Issues
6.3 Suggestions and Recommendation
05 CO6
Text and Reference Books:
1. Dawson, Catherine, “Practical Research Methods”, New Delhi, UBS Publishers Distributors, 2002.
2. Kothari, C.R., “Research Methodology-Methods and Techniques”, New Delhi, Wiley Eastern
Limited, 1990.
3. Kumar, Ranjit, “Research Methodology-A Step-by-Step Guide for Beginners”, 2nd ed.,
Singapore, Pearson Education, 2005.
4. Best and Kahn, “Research Methodology”, PHI Limited.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
136
5. Garg, B.L., Karadia, R., Agarwal, F. and Agarwal, “An introduction to Research Methodology, RBSA
Publishers, U.K., 2002.
6. Sinha, S.C. and Dhiman, A.K., “Research Methodology”, EssEss Publications, 2 volumes, 2002.
Evaluation Scheme:
1) In-Semester Assessment:
Assessment consists of two Internal Assessments (IA1, IA2) out of which; one should be compulsory class test (on minimum
02 Modules) and the other is a class test / assignment on case studies / course project.
Mid Semester Examination (MSE) will be based on 40-50% of the syllabus.
2) End-Semester Examination:
Question paper will comprise of full syllabus.
In the question paper, weightage of marks will be proportional to the total number of
lecture hours as mentioned in the syllabus
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
137
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTILO2022 Probability and Random Variables 03 -- -- 03 -- -- 03
Subject
Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration
(in Hrs) IA1 IA2 Avg. of 2
IAs
Mid Sem
Exam
MTILO2022 Probability and Random
Variables 20 20 20 20 60 02 -- -- 100
Course Pre-requisite:
Basic probability theory.
Basics of Numerical Analysis
Course Description:
Concepts in probability and random variables/ processes play a fundamental role in understanding various aspects of in different
domains and problems. Characterizing of several real-life events and problems requires knowledge of principles of random variables
and processes. This course is designed to serve as a basic course towards introducing the students to various aspects of probability from
the perspective of problem solving. Thus, it will focus on basic concepts in probability, distribution, random variables and random
processes.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
138
Course Objectives:
To familiarize the students with statistical techniques for rela life problems.
To understand and be able to apply probabilistic techniques for solving real world decision making problems.
Course Outcomes: At the end of the course learner will able to
CO1: Test the correlation between the given databases.
CO2: To prepare and set up the regression models for the datasets.
CO3: Analyze the time series and build the models for time series.
CO4: Understand the concepts of probability.
CO5: Analyze and understand the discrete and continuous distributions.
CO6: Apply the knowledge of testing on data and samples.
Module No. Detailed Content Hrs. CO
1
Correlation
1.1 Definition, meaning and uses of Correlation
1.2 Scatter Diagram, Merits and limitations, Graphic method
1.3 Covariance, properties of covariance, limitations
1.4 Difference between variance and co-variance
1.5 Karl Pearson’s Coefficient of correlation (r), properties and examples
1.6 Spearman’s Rank correlation coefficient (R) (with repeated and non-repeated
ranks) properties and examples
06 CO1
2
Regression Analysis
2.1 Definition, meaning and uses of regression analysis
2.2 Difference between Correlation and regression
2.3 Regression Models (lines of regression)
07 CO2
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
139
2.4 Fitting of line of regression of Y on X
2.5 Fitting of line of regression of X on Y
3
Analysis of Time Series
3.1 Meaning, essential requirements and main objective of Time series
3.2 Components of time series
3.3 Additive and Multiplicative models of Time series
3.4 Fitting of straight line (first degree) trend by least square methods
3.5 Fitting of parabolic (second degree) trend by least square methods
3.6 Fitting of exponential (𝑦 = 𝑎𝑏𝑥) trend by least square methods
07 CO3
4
Probability
4.1 Definition and basics of probability, conditional probability,
4.2 Total Probability Theorem and Bayes’ theorem (Inverse Probability Theorem)
4.3 Discrete and continuous random variable with probability distribution and
probability density function.
4.4 Expectation of random variables with mean, variance and standard deviation,
moment generating function up to four moments.
4.5 Skewness and Kurtosis of distribution (data)
06 CO4
5
Probability Distribution
5.1 Binomial Distribution: Meaning, examples, properties with applications
5.2 Poisson Distribution: Meaning, examples, properties with applications
5.3 Normal Distribution: Meaning, examples, properties with applications
06 CO5
6
Sampling Theory
6.1 Sampling distribution,
6.2 Test of Hypothesis, Level of Significance, Critical region, One-tailed, and two-
tailed test, Degree of freedom.
6.3 Students’ t-distribution (Small sample). Test the significance of mean and
Difference between the means of two samples. Chi-Square Test: Test of goodness of fit
and independence of attributes, Contingency table.
07 CO6
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
140
Text Books: 1. C. B. Gupta and Vijay Gupta, “An Introduction to Statistical Methods”, Vikas Publication 23rd
Edition.
2. Dr. P. C. Tulsian and Bharat Jhunjhnuwala, “Business Statistics”, S. Chand, 2nd Edition.
Reference Books: 1. T. Veerarajan, “Probability, Statistics and Random Processes”, McGraw-Hill education.
2. Murray Spiegel, “Probability and Statistics”, Schaum’s Outline Series, McGraw-Hill education.
3. Jay Devore, “Probability and Statistics for Engineering and the Sciences”, Cengage Learning.
4. Ludwig Fahrmeir, “Regression Models”, Methods and Applications, Springer Verlag.
5. Peter Bikel and Doksum, “Mathematical Statistics Basic Ideas and Selected Topics Vol-I”, Prentice
Hall.
Evaluation Scheme:
1) In-Semester Assessment:
Assessment consists of two Internal Assessments (IA1, IA2) out of which; one should be compulsory class test (on minimum
02 Modules) and the other is a class test / assignment on case studies / course project.
Mid Semester Examination (MSE) will be based on 40-50% of the syllabus.
2) End-Semester Examination:
Question paper will comprise of full syllabus.
In the question paper, weightage of marks will be proportional to the total number of
lecture hours as mentioned in the syllabus
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
141
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTILO2023 Project Management 03 -- -- 03 -- -- 03
Subject
Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration (in
Hrs) IA1 IA2 Avg. of 2
IAs
Mid Sem
Exam
MTILO2023 Project
Management 20 20 20 20 60 02 -- -- 100
Course Pre-requisite: None
Course Description:
This course develops a foundation of concepts and solutions that supports the planning, scheduling, controlling, resource
allocation, and performance measurement, closing activities required for successful completion of a project. It explains
organizational structures in which projects are executed and the importance of qualitative and quantitative analysis tools.
Financial aspects required for project like procurement, bidding, budgeting and techniques related with those are introduced.
Course Objectives:
To familiarize the students with the use of a Project Management techniques and tools used in various industry sectors for achieving
success in projects
To understand and be able to apply processes and techniques throughout the life cycle of a project from initiation to closure
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
142
Course Outcomes: At the end of the course learner will able to
CO1: Understand what are projects and what is the importance of management and project manager.
CO2: Analyse and initiate projects based on numeric and non-numeric criteria. Design a project proposal and build project teams.
CO3: Analyze the effect of different organizational structures on the execution of projects. Perform Project estimation and budgeting.
Understand role of project management office.
CO4: Perform project planning activities including risk planning, scheduling, team building and resource allocation.
CO5: Perform project control activities like monitoring & control, auditing, reporting, tracking, risk mitigation & control.
CO6: Perform proper closure of different types of projects. Apply the techniques learned in the course in the execution of real-life
projects.
Module
No. Detailed Content Hrs. CO
1
Project Management Fundamentals Definition of a project, Necessity of project management,
Triple constraints, Project life cycles, Project phases, Qualities of project manager, Role of
project manager. Project management in various organization structures. 6 CO1
2
Initiation How to get a project started, Selecting project strategically, Project selection models
(Numeric /Scoring Models and Non-numeric models), Project portfolio process, Project sponsor
and creating charter; Project proposal. Effective project team, Stages of team development &
growth
6 CO2
3
Project Budgeting and Estimation Project Plan, Work Breakdown structure (WBS) and linear
responsibility chart, Interface Co-ordination, Project cost estimation and budgeting, Top down
and bottoms up budgeting. 6 CO3
4
Project Planning and Management Networking and Scheduling techniques. PERT, CPM,
GANTT chart. Crashing project time, Resource loading and leveling, Goldratt's critical chain,
Project Stakeholders and Communication plan. Risk Management in projects: Risk management
planning, Risk identification and risk register. Qualitative and quantitative risk assessment,
Project procurement management. Change Management
9 CO4
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
143
5
Project Monitoring and Control Planning monitoring and controlling cycle. Information needs
and reporting, engaging with all stakeholders of the projects.
Team management, communication and project meetings. Earned Value management
techniques for measuring value of work completed; Using milestones for measurement; change
requests and scope creep. Project audits.
6 CO5
6
Project Closure Customer acceptance; Reasons of project termination, Various types of project
Terminations, Process of project termination, completing a final report; doing a lessons learned
analysis;
acknowledging successes and failures; Project management templates and other resources. Case
studies of successful and failed projects
6 CO6
Text Books:
1. Jack Meredith & Samuel Mantel, “Project Management: A managerial approach”, 10th ed., Wiley
India.
2. “A Guide to the Project Management Body of Knowledge (PMBOK® Guide)”, 6th ed., Project
Management Institute PA, USA.
Reference Books:
1. Harold Kerzner, “Project Management: A Systems Approach to Planning, Scheduling, and
Controlling”, 12th ed., Wiley.
Evaluation Scheme:
1) In-Semester Assessment:
Assessment consists of two Internal Assessments (IA1, IA2) out of which; one should be compulsory class test (on minimum
02 Modules) and the other is a class test / assignment on case studies / course project.
Mid Semester Examination (MSE) will be based on 40-50% of the syllabus.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
144
2) End-Semester Examination:
Question paper will comprise of full syllabus.
In the question paper, weightage of marks will be proportional to the total number of
lecture hours as mentioned in the syllabus
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
145
Subject
Code Subject Name
Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTILO2024 Disaster Management and Mitigation
Measures 03 -- -- 03 -- -- 03
Subject
Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration
(in Hrs) IA1 IA2 Avg. of
2 IAs
Mid Sem
Exam
MTILO2024 Disaster Management and
Mitigation Measures 20 20 20 20 60 02 -- -- 100
Course Pre-requisite: None
Course Description:
This course aims for disaster managers eventually to work themselves out of their job. The ultimate success of disaster management would
be the elimination of the underlying causes of disasters which would contribute to disaster prevention. Obviously, total prevention will
not be feasible, but minimizing the people's vulnerability to disaster and responding to emergencies in positive ways will make an
enormous impact on the current deadly state of disaster events. This enhances awareness of Disaster Risk Management institutional
processes in India and builds skills to respond to disasters.
Course Objectives:
To understand the various types of disaster occurring around the world.
To identify extent and damaging capacity of a disaster.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
146
To study and understand the means of losses and methods to overcome /minimize it.
To understand role of individual and various organization during and after disaster.
To know warning systems, their implementation and based on this to initiate training to a laymen.
To understand application of GIS in the field of disaster management.
To understand the emergency government response structures before, during and after disaster.
Course Outcomes: At the end of the course learner will able to,
CO1: Acquire fundamentals of disasters, long term effects global warming, perspective and concepts of human life.
CO2: Understand natural as well as man-made disaster and their extent and possible effects on the economy.
CO3: Planning of national importance structures based upon the previous history.
CO4: Understand government policies, acts and various organizational structure associated with an emergency.
CO5: Know the simple do’s and dont’s in such extreme events and act accordingly.
CO6: Know the preventive and mitigation disaster measures.
Module
No. Detailed Content Hrs. CO
1
Introduction: Definition of Disaster, hazard, global and Indian scenario,
general perspective, importance of study in human life, Direct and indirect
effects of disasters, long term effects of disasters. Introduction to global
warming and climate change.
04 CO1
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
147
2
Natural Disaster and Manmade disasters: Natural Disaster: Meaning and
nature of natural disaster, Flood, Flash flood, drought, cloud burst,
Earthquake, Landslides, Avalanches, Volcanic eruptions, Mudflow,
Cyclone, Storm, Storm Surge, climate change, global warming, sea level
rise, ozone depletion. Manmade Disasters: Chemical, Industrial, Nuclear
and Fire Hazards. Role of growing population and subsequent
industrialization, urbanization and changing lifestyle of human beings in
frequent occurrences of manmade disasters.
08 CO2
3
Disaster Management, Policy and Administration: Disaster
management: meaning, concept, importance, objective of disaster
management policy, disaster risks in India, Paradigm shift in disaster
management. Policy and administration: Importance and principles of
disaster management policies, command and co-ordination of in disaster
management, rescue operations-how to start with and how to proceed in due
course of time, study of flowchart showing the entire process.
06 CO3
4
Institutional Framework for Disaster Management in India: Importance
of public awareness, Preparation and execution of emergency management
programme. Scope and responsibilities of National Institute of Disaster
Management (NIDM) and National disaster management authority
(NDMA) in India. Methods and measures to avoid disasters, Management
of casualties, set up of emergency facilities, importance of effective
communication amongst different agencies in such situations. Use of
Internet and softwares for effective disaster management. Applications of
GIS, Remote sensing and GPS in this regard.
07 CO4
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
148
5
Financing Relief Measures: Ways to raise finance for relief expenditure,
Role of government agencies and NGO’s in this process, Legal aspects
related to finance raising as well as overall management of disasters.
Various NGO’s and the works they have carried out in the past on the
occurrence of various disasters, Ways to approach these teams. International
relief aid agencies and their role in extreme events.
07 CO5
6
Preventive and Mitigation Measures: Pre-disaster, during disaster and
post-disaster measures in some events in general, Structural mapping: Risk
mapping, assessment and analysis, sea walls and embankments, Bio shield,
shelters, early warning and communication. Non-Structural Mitigation:
Community based disaster preparedness, risk transfer and risk financing,
capacity development and training, awareness and education, contingency
plans. Do’s and dont’s in case of disasters and effective implementation of
relief aids.
07 CO6
References:
1. Harsh K.Gupta, “Disaster Management”, Universities Press Publications.
2. O.S. Dagur, “Disaster Management: An Appraisal of Institutional Mechanisms in India”, published
by Centre for land warfare studies, New Delhi, 2011.
3. Damon Copolla, “Introduction to International Disaster Management”, Butterworth Heinemann
Elsevier Publications.
4. Jack Pinkowski, “Disaster Management Handbook”, CRC Press Taylor and Francis group.
5. Rajdeep Dasgupta, “Disaster management & rehabilitation”, Mittal Publications, New Delhi.
6. R B Singh, “Natural Hazards and Disaster Management, Vulnerability and Mitigation”, Rawat
Publications.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
149
Evaluation Scheme:
1) In-Semester Assessment:
Assessment consists of two Internal Assessments (IA1, IA2) out of which; one should be compulsory class test (on minimum
02 Modules) and the other is a class test / assignment on case studies / course project.
Mid Semester Examination (MSE) will be based on 40-50% of the syllabus.
2) End-Semester Examination:
Question paper will comprise of full syllabus.
In the question paper, weightage of marks will be proportional to the total number of
lecture hours as mentioned in the syllabus
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
150
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTILO2025 Financial management 03 -- -- 03 -- -- 03
Subject
Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration (in
Hrs) IA1 IA2 Avg. of 2
IAs
Mid Sem
Exam
MTILO2025 Financial
Management 20 20 20 20 60 02 -- -- 100
Course Pre-requisite: None
Course Description:
Overall Objective of this course is to develop awareness among you about the importance and need of learning techniques for managing
finances either on a project, in an organization or in a profit making unit. The course goes into details of financial planning, measurement,
analysis and eventually controlling the finances. Varies techniques and tools useful for managing the finances and budgeting will be
explored in this course.
Course Objectives:
To understand the operational nuances of aIndian financial system, instruments and market
To study concepts of value of money, returns and risks, corporate finance, working capital and its management
To study technique of making decisions related to finance function.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
151
Course Outcomes: At the end of the course learner will able to
CO1: Understand Indian finance system and corporate finance.
CO2: Understand Present and future value of money.
CO3: Evaluate Risk and return on investment.
CO4: Under the importance of working capital and portfolios.
CO5: Possess the techniques of managing finance in an organization.
CO6: Take investment, finance as well as dividend decisions
Module
No. Detailed Content Hrs. CO
1
The Financial Systems: Functions of the Financial System, Financial Assets, Financial
Markets, Financial Market Returns, Financial Intermediaries, Regulatory Infrastructure,
Growth and Trends in the Indian Financial System. Overview of Financial Statements—
Balance Sheet, Profit and Loss Account, and Cash Flow Statement; Purpose of Financial Ratio
Analysis; Liquidity Ratios; Efficiency or Activity Ratios; Profitability Ratios; Capital
Structure Ratios; Stock Market Ratios; Limitations of Ratio Analysis.
06 CO1
2
Time value of Money: Time Lines and Notation, Future Value of a Single Amount,Present
Value of a Single Amount, Future Value of an Annuity, Present Value of an Annuity, Present
Value of a Perpetuity, Intra-Year Compounding and Discounting.
08 CO2
3
Risk and Return: Historical Returns and Risk, Expected Return and Risk of a Single Security
and a Two-security Portfolio,Risk and Return of a Single Security and a Two-security
Portfolio, Measurement of Market Risk , Determinants of Beta , Relationship Between Risk
and Return.
06 CO3
4
Techniques of Capital Budgeting: Capital Budgeting Process, Project Classification,
Investment Criteria, Net Present Value, Benefit-Cost Ratio, Internal Rate of Return, Modified
Internal Rate of Returns (MIRR), Payback Period, Accounting Rate of Return, Investment
04 CO4
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
152
Appraisal in Practice.
Concepts of Meaning Working Capital; Importance and Factors Affecting an Entity‘s Working
Capital Needs; Management of Inventories; Management of Receivables; and Management of
Cash and Marketable Securities.
5
The Cost of Capital: Cost of Debt and Preference, Cost of Equity, Determining the
Proportions, Weighted Average Cost of Capital, Weighted Marginal Cost of Capital,
Determining the Optimal Capital Budget, Divisional and Project Cost of Capital, Floatation
Cost and the Cost of Capital, Factors Affecting the Weighed Average Cost of Capital
09 CO5
6
Capital Structure and Firm Value: Assumptions and Definitions, Net Income Approach,
Net Operating Income Approach, Traditional Position, Modigliani and Miller Position,
Taxation and Capital Structure, Tradeoff Theory, Signaling Theory, Dividend Policy and Firm
Value, Miller and Modigliani Position
06 CO6
Text Books:
1. Financial Management Theory & Practice by Prasanna Chandra, Publisher: TMH, New Delhi 2004
2. Fundamentals of Financial Management, 13th Edition (2015) by Eugene F. Brigham and Joel F. Houston; Publisher: Cengage
Publications, New Delhi.
3. Fundamentals of Financial Management by Van Horne, Publisher: Prentice Hall of India.
Reference Books:
1. Financial Management, 11th Edition (2015) by I. M. Pandey; Publisher: S. Chand (G/L) & Company Limited, New Delhi
2. Indian Financial System, 9th Edition (2015) by M. Y. Khan; Publisher: McGraw Hill Education, New Delhi.
3. Advanced Accounting by Gupta R.L. and RadhaSwamy M., Publisher: Sultan Chand & Sons, New Delhi.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
153
Evaluation Scheme:
1) In-Semester Assessment:
Assessment consists of two Internal Assessments (IA1, IA2) out of which; one should be compulsory class test (on minimum
02 Modules) and the other is a class test / assignment on case studies / course project.
Mid Semester Examination (MSE) will be based on 40-50% of the syllabus.
2) End-Semester Examination:
Question paper will comprise of full syllabus.
In the question paper, weightage of marks will be proportional to the total number of
lecture hours as mentioned in the syllabus
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
154
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTILO2026 IPR and Patenting 03 -- -- 03 -- -- 03
Subject
Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration (in
Hrs) IA1 IA2 Avg. of 2
IAs
Mid Sem
Exam
MTILO2026 IPR and
Patenting 20 20 20 20 60 02 -- -- 100
Course Pre-requisite: None
Course Description:
This course helps to understand intellectual property rights protection system and to promote the knowledge of Intellectual Property
Laws of India as well as International treaty procedures. To get acquaintance with Patent search and patent filing procedure and
applications. IPR internalization process to help the researchers to set targeted objectives in their research project and also to design
and implement their research to clearly differentiate their work vis-a-vis the existing state of knowledge/ prior art.
Course Objectives:
To understand intellectual property rights protection system.
To promote the knowledge of Intellectual Property Laws of India as well as International treaty procedures.
To get acquaintance with Patent search and patent filing procedure and applications.
To get familiarize with different patent databases.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
155
Course Outcomes: At the end of the course learner will able to
CO1: Understand Intellectual Property Rights and importance.
CO2: Demonstrate enforcement of intellectual property rights.
CO3: Work for development, promotion, protection, compliance, and enforcement of Intellectual Property and Patenting.
CO4: Inspect emerging issues in IPR.
CO5: Assist individuals and organizations in capacity building,
CO6: Understand national and international patent filing procedure.
Module
No.
Detailed Contents Hrs CO
1
1.1 Introduction to Intellectual Property Rights (IPR): Meaning of IPR, Different
category of IPR instruments - Patents, Trademarks, Copyrights, Industrial Designs,
Plant variety protection, Geographical indications, Transfer of technology etc.
1.2 Importance of IPR in Modern Global Economic Environment: Theories of IPR,
Philosophical aspects of IPR laws, Need for IPR, IPR as an instrument of development.
07 CO1
2
2.1 Enforcement of Intellectual Property Rights: Introduction, Magnitude of problem,
Factors that create and sustain counterfeiting/piracy, International agreements,
International organizations (e.g. WIPO, WTO) active in IPR enforcement.
2.2 Indian Scenario of IPR: Introduction, History of IPR in India, Overview of IP laws in
India, Indian IPR, Administrative Machinery, Major international treaties signed by
India, Procedure for submitting patent and Enforcement of IPR at national level etc.
07 CO2
3 Emerging Issues in IPR: Challenges for IP in digital economy, e-commerce, human
genome, biodiversity and traditional knowledge etc. 05 CO3
4 Basics of Patents: Definition of Patents, Conditions of patentability, Patentable and non- 07 CO4
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
156
patentable inventions, Types of patent applications (e.g. Patent of addition etc.), Process
Patent and Product Patent, Precautions while patenting, Patent specification Patent
claims, Disclosures and non-disclosures, Patent rights and infringement, Method of
getting a patent
5
Patent Rules: Indian patent act, European scenario, US scenario, Australia
scenario, Japan scenario, Chinese scenario, Multilateral treaties where India is a member
(TRIPS agreement, Paris convention etc.)
07 CO5
6
6.1 Procedure for Filing a Patent (National and International): Legislation and Salient
Features, Patent Search, Drafting and Filing Patent Applications, Processing of patent,
Patent Litigation, Patent Publication etc, Time frame and cost, Patent Licensing, Patent
Infringement
6.2 Patent databases: Important websites, Searching international databases
06 CO6
Text and Reference Books: -
1. Rajkumar S. Adukia, “A Handbook on Laws Relating to Intellectual Property Rights in India”, The Institute of Chartered Accountants
of India, 2007.
2. Keayla B K, “Patent system and related issues at a glance”, Published by National Working Group on Patent Laws.
3. T Sengupta, “Intellectual Property Law in India”, Kluwer Law International. 2011.
4. Tzen Wong and Graham Dutfield, “Intellectual Property and Human Development: Current Trends and Future Scenario”, Cambridge
University Press, 2010.
5. Cornish, William Rodolph & Llewelyn, David, “Intellectual Property: Patents, Copyrights, Trade Marks and Allied Right”, 7th
Edition, Sweet & Maxwell, 2010.
6. LousHarns, “The enforcement of Intellactual Property Rights: A Case Book”, 3rd Edition, WIPO, 2012.
7. Prabhuddha Ganguli, “Intellectual Property Rights”, 1st Edition, TMH, 2012.
8. R Radha Krishnan & S Balasubramanian, “Intellectual Property Rights”, 1st Edition, Excel Books, 2012.
9. M Ashok Kumar and Mohd Iqbal Ali, “Intellectual Property Rights”, 2nd Edition, Serial Publications.
10. Kompal Bansal and Praishit Bansal, “Fundamentals of IPR for Engineers”, 1st Edition, BS Publications, 2012.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
157
11. “A Manual on Intellectual Property Rights”, Entrepreneurship Development and IPR Unit, BITS Pilani, 2007.
12. Mathew Y Maa, “Fundamentals of Patenting and Licensing for Scientists and Engineers”, World Scientific Publishing Company,
2009.
13. Indian Patent Acts and Rules (Online – Indian patent office)
Evaluation Scheme:
1) In-Semester Assessment:
Assessment consists of two Internal Assessments (IA1, IA2) out of which; one should be compulsory class test (on minimum
02 Modules) and the other is a class test / assignment on case studies / course project.
Mid Semester Examination (MSE) will be based on 40-50% of the syllabus.
2) End-Semester Examination:
Question paper will comprise of full syllabus.
In the question paper, weightage of marks will be proportional to the total number of
lecture hours as mentioned in the syllabus
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
158
Master of Technology in Electronics & Telecommunication Engineering
Semester-III
Course Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
MTETS301 Special Topic Seminar -- 06 -- -- 03 -- 03
MTETD302 M. Tech Thesis Dissertation I -- 24 -- -- 12 -- 12
Total -- 30 -- -- 15 -- 15
Evaluation Scheme
Semester-III
Course Code Course Name IA1 IA2 AVG of 2 IAs ESE Exam Hrs TW Pr/Or Total
MTETS301 Special Topic Seminar -- -- -- -- -- 50 50 100
MTETD302 M. Tech Thesis Dissertation I -- -- -- -- -- 50 50 100
Total -- -- -- -- -- 100 100 200
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
159
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTETS301 Special Topic Seminar -- 06 -- -- 03 -- 03
Subject
Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration (in
Hrs) IA1 IA2 Avg. of 2
IAs
Mid Sem
Exam
MTETS301 Special Topic
Seminar -- -- -- -- -- -- 50 50 100
Guidelines for Special Topic Seminar
1. Seminar should be based on thrust areas in Information Technology.
2. Students should do literature survey and identify the topic of seminar and finalize in consultation with Guide/Supervisor. Students
should refer multiple literature (at least 10 papers from Refereed Journals) and understand the topic and compile the report in standard
format and present in front of Panel of Examiners.
3. The seminar report should be compulsorily prepared in Latex.
4. The seminar report should be checked for plagiarism and the similarity index should not exceed 30%.
Seminar would be assessed based on following points
1. Quality of Literature survey and novelty in the topic
2. Relevance to the specialization
3. Understanding of the topic
4. Quality of written and oral presentation
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
160
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTETD302 M. Tech Thesis Dissertation I -- 24 -- -- 12 -- 12
Subject
Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration (in
Hrs) IA1 IA2 Avg. of 2
IAs
Mid Sem
Exam
MTETD302 M. Tech Thesis
Dissertation I -- -- -- -- -- -- 50 50 100
Guidelines for Dissertation I
1. Students should do literature survey and identify the problem for dissertation and finalize it in consultation with the Guide/Supervisor.
2. Students should review multiple literature and understand the problem. The problem should be relevant and should have research
potential.
3. Students should attempt solution to the problem by analytical/simulation/experimental methods. The solution is to be validated with
proper justification and compiled into a report in standard format.
4. All reports should be compulsorily prepared in Latex.
5. Reports should be checked for plagiarism and the similarity index should not exceed 30%.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
161
Guidelines for Assessment of Dissertation I
1. Dissertation I would be assessed based on the following points:
a. Quality of literature survey and novelty in the problem
b. Clarity of problem definition and feasibility of problem solution
c. Relevance to the specialization
d. Clarity of objective and scope
2. Dissertation I would be assessed through a presentation by a panel of examiners appointed by the Head of the Department.
3. After successful completion of Dissertation I, students should immediately submit synopsis of their Dissertation I to the University
for Approval.
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
162
Master of Technology in Electronics & Telecommunication Engineering
Semester-IV
Course Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tutorial Theory Practical Tutorial Total
MTETD401 M. Tech Thesis Dissertation II -- 30 -- -- 15 -- 15
Total -- 30 -- -- 15 -- 15
Evaluation Scheme
Semester-IV
Course Code Course Name T1 T2 AVG ESE Exam Hrs TW Pr/Or Total
MTETD401 M. Tech Thesis Dissertation II -- -- -- -- -- 100 100 200
Total -- -- -- -- -- 100 100 200
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
163
Subject Code Subject Name Theory
Hrs
Practical
Hrs
Tutorial
Hrs
Theory
Credit
Practical/Oral
Credit
Tutorial
Credits
Total
Credits
MTETD401 M. Tech Thesis Dissertation II -- 30 -- -- 15 -- 15
Subject
Code Subject Name
Examination Scheme
Theory Marks
Term
Work
Pract.
/Oral Total
In-Sem Evaluations End Sem
Exam
Exam Duration
(in Hrs) IA1 IA2 Avg. of 2
IAs
Mid Sem
Exam
MTETD401 M. Tech Thesis
Dissertation II -- -- -- -- -- -- 100 100 200
Guidelines for Dissertation II
1. Students to come up with solution to the problem which is efficient and is justified by the results obtained.
2. Students should validate the solution and analyze the impact of this solution.
3. All reports should be compulsorily prepared in Latex.
4. Reports should be checked for plagiarism and the similarity index should not exceed 30%.
Guidelines for Assessment of Dissertation II
1. Dissertation II would be assessed based on the following points:
a. Quality of literature survey and novelty in the problem
b. Clarity of problem definition and feasibility of problem solution
Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
Department of Electronics and Telecommunication Engineering
164
c. Relevance to the specialization or current research / industrial trends
d. Clarity of objective and scope
e. Quality of work attempted
f. Validation of results
g. Quality of written report and oral presentation
2. Dissertation II would be assessed through a presentation by a Panel of Examiners. After successful completion of Dissertation II,
students should immediately submit their MTech Thesis to the University.
3. Students should publish at least two papers based on the work in reputed International /National Conference/Journal (desirably
should be ISI/Scopus/SCI indexed and only in referred Journal).