M E Signal Processing1_1 Syllabus Mumbai University

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AC-
Item No .









UNIVERSITY OF MUMBAI

















Revised Syllabus for the
Master of Engineering (M. E.)
Signal Processing


(As per Choice Based Credit and Grading System with
effect from the academic year 2016 –2017)

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University of Mumbai M.E. (Signal Processing) Page 1
From Co -ordina tor’s Desk: -

To meet the challenge of ensuring excellence in engineering education, the issue of quality needs to be
addressed, debated taken forward in a systematic manner. Accreditation is the principal means of
quality assurance in higher education. Th e major emphasis of accreditation process is to measure the
outcomes of the program that is being accredited. In line with this Faculty of Technology of University
of Mumbai has taken a lead in incorporating philosophy of outcome based education in the pro cess of
curriculum development.
Faculty of Technology, University of Mumbai, in one of its meeting unanimously resolved that, each
Board of Studies shall prepare some Program Educational Objectives (PEO’s) give freedom to
affiliated Institutes to add few (PEO’s) course objectives course outcomes to be clearly defined for each
course, so that all faculty members in affiliated institutes understand the depth approach of course to be
taught, which will enhance learner’s learning process. It was also resolved that, maximum senior
faculty from colleges experts from industry to be involved while revising the curriculum. I am happy
to state that, each Board of studies has adhered to the resolutions passed by Faculty of Technology,
developed curriculum accordingly . In addition to outcome based education, Choice Based Credit and
Grading System is also introduced to ensure quality of engineering education.
Choice Based Credit and Grading S ystem enables a much -required shift in focus from teacher -centric
to learner -centric educatio n, since the workload estimated is based on the investment of time in
learning and not in teaching. It also focuses on continuous evaluation which will enhance the quality of
education. University of Mumbai has taken a lead in implementing th e system through its affiliated
Institutes . Faculty of Technology has devised a transp arent credit assignment policy adopted ten point’s
scale to grade learner’s performance. Choice Based Credit and Grading System will be implemented
for First year Master of Engineering from the academic year 201 6-2017. Subsequently this system will
be carried forward for Second Year Master of Engineering in the academic year 201 7-2018.


Dr. S. K. Ukar ande
Co-ordinator ,
Faculty of Technology,
Mem ber - Academic Council
University of Mumbai, Mumbai

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University of Mumbai M.E. (Signal Processing) Page 2
Preamble:
The curriculum in higher education is a living entity. It evolves with time; it reflects the ever changing
needs of the society and keeps pace with the growing talent of the students and the faculty. The
engineer ing education in India is expanding in manifolds and the main challenge is the quality of
education. All stakeholders are very much concern ed about it. The curriculum of Electronics &
Telecommunication in Mumbai University is no exception. In keeping with the demands of the
changing times, it contains innovative features. The exposure to the latest technology and tools used all
over the world is given by properly selecting the subjects. It is designed in such a way to incorporate
the requirements of various industries. The major emphasis of this process is to measure the outcomes
of the program. Program outcomes are essentially a range of skills and knowledge that a student will
have at the time of post -graduation. So the curriculum must be refined and updat ed to ensure that the
defined objectives and outcomes are achieved.
I, as Chairman Ad -hoc Board of Studies in Electronics and Telecommunication Engineering, University
of Mumbai, happy to state here that, the heads of the department and senior faculty f rom various
institutes took timely and valuable initiative to frame the Program Educational objectives as listed
below.
Objectives:
1. To produce Electronics & T elecommunication engineers, having strong theoretical found a-
tion, good design experience and expos ure to research and development.
2. To produce researcher who have clear thinking, articulation and interest to carry out theoret i-
cal and/or applied research resulting in significant advancement in the field of specialization.
3. To develop an ability to identif y, formulate and solve electronics and telecommunication e n-
gineering problems in the latest technology.
4. To develop the ability among students to synthesize data and technical concepts from applic a-
tions to product design.
These are the suggested and expecte d main objectives, individual affiliated institute s may add further in
the list. I believe that the small step taken in the right direction will definitely help in providing quality
education to the stake holders.
This book of curricula is the culmination of large number of faculty members and supporting staff. It
also reflects the creative contribution of hundreds of teachers – both serving and retired. I sincerely
hope that the faculty and students of Electronics and Telecommunication in Mumbai University will
take full advantage of dynamic features of curriculum and make teaching -learning process a truly
sublime experience for all.
At the end I must extend my gratitude to all experts and colleagues who contributed to make
curriculum competent at par with latest technological development in the field of Electronics &
Telecommunication Engineering.
Dr. Uttam D. Kolekar
Chairman, Ad -hoc Board of Studies in Electronics and Telecommunication Engineering

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University of Mumbai M.E. (Signal Processing) Page 3
University of Mumbai
Program Structure for
ME Signal Processing
(w.e.f. A.Y. 2016 -2017)
Semester I

Course Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tut. Theory TW/
Practical Tut. Total
SPC101 Signal Detection and
Estimation Theory 4 - - 4 -- - 4
SPC102 Digital Signal Processing 4 - - 4 -- - 4
SPC103 Image Processing 4 - - 4 -- - 4
SPD LO1 Department Level Optional
Course -I 4 - - 4 -- - 4
ILO101 Institute Level Optional
Course -I 3 - - 3 -- - 3
SPL101 Laboratory -I: DSP
Processors -- 2 - - 1 - 1
SPL10 2 Laboratory -II: Image
Processing -- 2 - - 1 - 1
Total 19 04 - 19 2 - 21

Subject Code Subject Name Examination Scheme
Theory
Internal Assessment End
Sem
Exam Exam
Duration
(hrs) Term
Work Pract./
oral Total
Test 1 Test 2 Avg
SPC101 Signal Detection and
Estimation Theory 20 20 20 80 03 - - 100
SPC102 Digital Signal
Processing 20 20 20 80 03 - - 100
SPC103 Image Processing 20 20 20 80 03 - - 100
SPD LO1 Department Level
Optional Course -I 20 20 20 80 03 - - 100
ILO 101 Institute Level Op tional
Course -I 20 20 20 80 03 - - 100
SPL101 Laboratory -I: DSP
Processors - - - - - 25 25 50
SPL102 Laboratory -II: Image
Processing - - - - - 25 25 50
Total 100 100 100 400 - 50 50 600

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Subject Code (SPD LO1 ) Department Level Optional Course -I
SPD LO1011 Radar and Satellite Signal Processing and
Applications
SPD LO1012 DSP Processors
SPD LO1013 Speech Processing
SPD LO1014 VSLI Signal Processing


Subject Code ILO1 Institute Level Optional Course -I
ILO1 011 Product Life cycle Management
ILO1012 Reliability Engineering
ILO101 3 Management Information System
ILO1014 Design of Experiments
ILO1015 Operation Research
ILO1016 Cyber Security and Laws
ILO1017 Disaster Management and Mitigation Measures
ILO1018 Energy Audit and Management

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Semester II
Course Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Practical Tut. Theory TW/
Practical Tut. Total
SPC201 Adaptive Signal Processing 4 - - 4 -- - 4
SPC202 Signal processing
Algorithms and
Applications 4 - - 4 -- - 4
SPC203 Video Processing 4 - - 4 -- - 4
SPD LO2 Department Level Optional
Course -II 4 - - 4 -- - 4
ILO2 Institute Level Optional
Course -II 3 - - 3 -- - 3
SPL201 Laboratory III: Adaptive
Signal Processing and
Signal processing
Algorithms and
Appl ications -- 2 - - 1 - 1
SPL202 Laboratory IV: Video
Processing -- 2 - - 1 - 1
Total 19 04 - 19 2 - 21
Subject Code Subject Name Examination Scheme
Theory Credits Assigned
Internal Assessment End
Sem
Exam Exam
Duration
(hrs) Term
Work Pract./
oral Total
Test 1 Test 2 Avg
SPC201 Adaptive Signal
Processing 20 20 20 80 03 - - 100
SPC202 Signal processing
Algorithms and
Applications 20 20 20 80 03 - - 100
SPC203 Video Processing 20 20 20 80 03 - - 100
SPDLO 2 Department Level
Optional Course -II 20 20 20 80 03 - - 100
ILO202 Institute Level Optional
Course -II 20 20 20 80 03 - - 100
SPL201 Laboratory III: Adaptive
Signal Processing and
Signal processing
Algorithms and
Applications - - - - - 25 25 50
SPL202 Laboratory IV: Video
Processing - - - - - 25 25 50
Total 100 100 100 400 - 50 50 600

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Subject Code
SPDLO 2 Department Level Optional Course -II
SPDLO2021 Wavelet Transform and Applications
SPDLO2022 Biomedical Signal Processing
SPDLO2023 DSP System Design
SPDLO 2024 Wireless Network

Subject Code
ILO2 Institute Level Optional Course -II
ILO2021 Project Management
ILO2022 Finance Management
ILO2023 Entrepreneurship Development and Management
ILO2024 Human Resource Management
ILO2025 Professional Ethics and CSR
ILO2026 Research Met hodology
ILO2027 IPR and Patenting
ILO2028 Digital Business Management
ILO2029 Environmental Management

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Semester -III

Subject Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract Tut. Theory TW/
Pract Tut. Total
SPS301 Special topic seminar -- 6 -- -- 3 -- 3
SPD30 1 Dissertation -I -- 24 -- -- 12 -- 12
Total -- 30 -- -- 15 -- 15




Subject Code Subject Name Examination Scheme
Theory Credits Assigned
Internal Assessment End
Sem
Exam Term
Work Pract./
oral Total
Test 1 Test 2 Avg
SPS301 Special topic seminar - - - - 50 50 100
SPD301 Dissertation -I - - - - 100 - 100
Total - - - - 150 50 200

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Semester -IV

Subject Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract Theory TW/Pract Total
SPD401 Dissertation -II -- 30 -- 15 15
Total -- 30 -- 15 15

Subject Code Subject Name Examination Scheme
Theory Credits Assigned
Internal Assessment End
Sem
Exam Term
Work Pract./
oral Total
Test 1 Test 2 Avg
SPD401 Dissertation -II - - - - 100 100 200
Total - - - - 100 100 200

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Subject Code Subject Name Credits
SPC101 Signal Detection and Estimation Theory 04

Course Pre -requisite:
Signals and Systems, Random Signal Process

Course Objective:
To enable the student to understand the basic principles of random signal processing, spectral detection
and estimation methods used in communication system design and their applications.

Course Outcome: Learner will able to
 Design System for estimation,
 Spectral Estimation
 perform wave formation Analysis of the System

Module No. and
Title Detailed content Hours
1.Review o f Signals
And Systems Introduction, System Theory, Stochastic Processes, Gauss -Markov
Models, Representation of Stochastic Process, Likelih ood and
Sufficiency. 05
2. Detection Theory
Introduction, one way , two way ANOVA table, Hypothesis
Testing, Decision Criteria, Multiple Measurements, Multiple -
Hypothesis Testing, Composite Hypothesis Testing, Chi -square
testing, Asymptotic Error Rate o f LRT for Simple Hypothesis
Testing, CFAR Detection, Sequential Detection : Wald’s Test. 08
3.Detection Of Signals
In Noise
Introduction, Detection of Known Signals in White Noise: The
Correlation Receiver, Detection of Known Signals in Colored
Noise, Detection of Known Signals in Noise: Maximum SNR
Criterion, Solution of Integral Equations, Detection of Signals
with Unknown Parameters. 08
4. Estimation Theory Introduction, Estimation of Parameters, Random Parameters:
Bayes Estimates, Estimation of No nrandom Parameters,
Properties of Estimators, Linear Mean -Square Estimation,
Reproducing Densities. 08
5. Spectrum
Estimation
Non-Parametric methods - Correlation method - Co-variance
estimator - Performance analysis of estimators – Unbiased
consisten t estimators - Periodogram estimator - Barlett spectrum
estimation - Model based approach - AR, MA, AR MA Signal
modeling – Parameter estimation using Yule -Walker method. 08

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6. Estimation Of
Waveforms
Introduction, Linear MMSE Estimation of Waveforms:
Preliminaries, Estimation of Stationary Processes: The Wiener
Filter, Estimation of Nonstationary Processes: The Kalman Filter,
Relation between the Kalman and Wiener Filters, 08
Total 45

Recommended Books :
1. Introduction to Statistical Signal Processi ng with Application by M.D. Srinath, P.K. Rajasekaran, R.
Viswanathan, Prentice -Hall, Inc. Upper Saddle River, NJ,USA.
2. An Introduction to Statistical Signal Processing by Robert M. Gray and Lee D. Davisson, by Ca m-
bridge University Press

Reference Books:
1. Fundamentals of Statistical Signal Processing V olume -I: Estimation Theory by Steven Kay, Pre n-
tice Hall
2. Fundamentals of Statistical Signal Processing V olume -II: Detection Theory by Steve Kay, Prentice
Hall
3. Fundamentals of Statistical Signal Processing V olume -III: Practical Algorithm Development by
Steven Kay, Prentice Hall

Asse ssment
Internal: Assessment consists of two tests out of which; one should be compulsory class
test (covering two modules) and the other is either a class test (2 modules from
remaining syllabus) or assignment on live problems or course project.
End Semester: Some guidelines for setting the question papers are as, six questions to be
Examination set each of 20 marks, out of these, question number 1 will be compulsory a nd it
will carry questions covering each module. From remaining questions any three
questions to be attempted by students. Minimum 80% syllabus should be
covered in question papers of end semester examination.

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Subject Code Subject Name Credits
SPC102 Digital Signal Processing 4

Prerequisite:
Signals and Systems, Random Signal Process

Course Objective:
To enable the student to understand the discrete -time signal transforms, digital filter design, optimal
filtering, multi -rate digital signal processing

Course Outcome: Students will be able to
Design adaptive filters for a given application and to design multirate DSP systems.

Module No. and
Title Detailed content Hours
1. Orthogonal Tran s-
forms
DFT, DCT and Haar; Properties of DFT; Computa tion of DFT: FFT and
structures, Decimation in time, Decimation in frequency; Linear
convolution using DFT 05
2. Sampling And R e-
construction of Si g-
nals Sampling band -pass signals, band pass signal representation . Analog -to-
digital and digital -to analog conv ersions 08
3. Linear Prediction
And Optimum L in-
ear Filters Representation of a random process, Forward and backward linear
prediction, Solution of normal equations, Properties of the linear error -
prediction filters, AR lattice and ARMA lattice -ladder filters , Wiener
filters for filtering and prediction. 08
4. Power Spectrum E s-
timation Estimation of spectra from finite -duration observations of signals,
Nonparametric methods for power spectrum estimation, Parametric
methods for Power Spectrum Estimation, Minimum variance spectral
estimation, Eigen analysis algorithm for spectral estimation. 08
5. Multirate Signal
Processing
Basic structures for sampling rate conversion, Decimators and
Interpolators; Multistage design of interpolators and decimators;
Polyphase deco mposition and FIR structures; Computationally efficient
sampling rate converters; Arbitrary sampling rate converters based on
interpolation algorithms: Lagrange interpolation, Spline interpolation;
Quadrature mirror filter banks; Conditions for perfect rec onstruction;
Applications in sub band coding; 08
6. Analysis Offinite
Wordl ength Effect In
Fixed -Point DSP Systems
Introduction, DSP arithmetic, ADC quantization noise & signal quality,
Finite wordlength effects in IIR & FIR digital filters, Hilbert tr ansform,
Hilbert transform relations for causal signals, Karhunen -Loève transform.
Introduction to linear prediction
08
Total 45

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Recommended Books:
1. Discrete Time signal Processing by Alan V . Oppenheim, Ronald Schafer, Pearson Education
2. Digita l Signal Processing, Principles, algorithms and applications - J. Proakis, D. G. Manolakis, D.
Sharma, Pearson Education.
3. Multirate Systems and Filter Banks -P.P. Vaidyanathan, Pearson.
4. Li Tan, “Digital Signal Processing – Fundamentals and applicati ons” , Elsevier, 2008.
5. Sanjit K. Mitra, “Digital Signal Processing” , A Computer Based Approach, Tata McGraw Hill,
2001.

Assessment:
Internal: Assessment consists of two tests out of which; one should be compulsory class
test (covering two modules) and the other is either a class test (two modules from
remaining syllabus) or assignment on live problems or course project.
End Semester: Some guidelines for setting the question papers are as, six questions to be
Examination set each of 20 marks, out of these, question number 1 will be compulsory and it
will carry questions covering each module. From remaining questions any three
questions to be attempted by students. Minimum 80% syllabus should be
covered in question papers of end semester examin ation.

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University of Mumbai M.E. (Signal Processing) Page 13


Subject Code Subject Name Credits
SPC103 Image Processing 04

Course Pre -requisite:
 Signals and Systems
 Digital Signal Processing

Course Objectives:
 To understand the image fundamentals and mathematical transforms necessa ry for image pro-
cessing and also to study the image enhancement technique, image segmentation and represen-
tation techniques.

Course Outcomes:
 Upon Completion of the course, the students will be able to understand image formation and
the role human visual system in perception of gray and color image data.
 Student will be able to apply image processing techniques in both the spatial and frequency
domains.
 Students will be to design image analysis techniques in the form of image segmentation and to
evaluat e the methodologies for segmentation.

Module No. And Title Detailed content Hours
1. Fundamentals of
Digital Image
Processing

Elements of visual perception, brightness, contrast, hue,
saturation, mach band effect, 2D image transforms -DFT,
DCT, KLT, and SVD. Image enhancement in spatial and
frequency domain, Review of morphological image
processing. Introduction tocolour Imaging processing,
colour model - RGB, HIS, HSV
08
2. Segmentation
Edge detection, Thresholding, Region growing, Fuzzy
clustering, Wat ershed algorithm, Active contour methods,
Texture feature based segmentation, Model based
segmentation, Wavelet based Segmentation methods
08

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3. Feature E x-
traction
First and second order edge detection operators, Phase
congruency, Localized feature extra ction detecting image
curvature, shape features Hough transform, shape
skeletonization, Boundary descriptors, Moments, Texture
descriptors - Autocorrelation, Co -occurrence features,
Runlength features, Fractal model based features, Gabor
filter, wavelet fea tures.
08
4. Image Rest o-
ration
Basic Framework, Interactive Restoration, Image
deformation and geometric transformations, image
morphing, Restoration techniques, Noise
characterization, Noise restoration filters, Adaptive
filters, Linear, Position invari ant degradations,
Estimation of Degradation functions, Restoration from
projections.
08
5. Morphological
Image Processing Basics, Structuring Element, Erosion, Dilation, Opening,
Closing, Hit -or-Miss Transform, Boundary Detection,
Hole filling, Connected components, convex hull,
thinning, thickening, skeletons, pruning, Geodesic
Dilation, Erosion, Reconstruction by dilation and erosion. 08
6. Image Regi s-
tration
Registration - Preprocessing, Feature selection -points,
lines, regions and templates Feature cor respondence -
Point pattern matching, Line matching, region matching
Template matching. Transformation functions -Similarity
transformation and Affine Transformation. Resampling -
Nearest Neighbour and Cubic Splines 08
Total 48

Recommended Books :
1. John C.R uss, “ The Image Processing Handbook ”, CRC Press, 2007.
2. Mark Nixon, Alberto Aguado, “Feature Extraction and Image Processing”, Academic Press, 2008.
3. ArdeshirGoshtasby, “2D and 3D Image registration for Medical, Remote Sensing and Industrial Appl i-
cations”, John Wiley and Sons, 2005.

Reference Books:
1. Rafael C. Gonzalez, Richard E. Woods, Digital Image Processing', Pearson, Education, Inc., Second
Edition, 2004.
2. Anil K. Jain, Fundamentals of Digital Image Processing', Pearson Education, Inc., 2002.
3. Rick S.Blum, Zheng Liu, “Multisensory image fusion and its Applications”, Taylor & Francis, 2006.

Asse ssment
Internal: Assessment consists of two tests out of which; one should be compulsory class

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University of Mumbai M.E. (Signal Processing) Page 15
test (covering two modules) and the other is either a class te st (2 modules from
remaining syllabus) or assignment on live problems or course project.
End Semester: Some guidelines for setting the question papers are as, six questions to be
Examination set each of 20 marks, out of these, question number 1 will be compulsory and it
will carry questions covering each module. From remaining questions any three
questions to be attempted by students. Minimum 80% syllabus should be
covered in question papers of end semester examination.

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Subject Code Subject Na me Credits
SPD LO1011 Radar and Satellite Signal Processing and
Applications 04
Course Pre -requisite:
Radar Engineering, Wave Propagation, Satellite Communication

Course Objectives:
To understand the Radar Signal acquisition and sampling in multiple dom ains to provide clear
instruction in radar DSP basics and to equip the skills needed in both design and analysis of common
radar algorithms.

Course Outcomes:
Upon Completion of the course, the students will be able to understand application of signal
processing in radar system, different types of signal models used in radar, types of differential
GPS systems and applications of signal processing in remote sensing.

Module No. and
Title Detailed content Hours
1. IntroductionTo
Radar Systems
History and a pplication of radar, basic radar function,
elements of pulsed radar, review of signal processing
concepts and operations. A preview of basic radar signal
processing, radar system components, advanced radar signal
processing. 06
2. Signal Models
Components Of Radar Signals, Amplitude models, types of
clutters, noise model and signal to noise ratio, frequency
models, the doppler shift, spatial models, spectral model 06
3. Sampling An d-
Quantization of
Pulsed Radar
Signals Domains and criteria for sampling ra dar signals, Sampling in
the fast time dimension, Sampling in slow time: selecting the
pulse repetition interval, sampling the doppler spectrum,
Sampling in the spatial and angle dimension, Quantization,
I/Q Imbalance and Digital I/Q. 08
4. Navig a-
tion,Tracki ng
And Safety Sy s-
tems
Global Navigation Satellite Systems - Basic concepts of GPS.
Space segment, Control segment, user segment, GPS
constellation, GPS measurement characteristics, selective
availability (AS), Anti spoofing (AS). Applications of
Satellit e and GPS for 3D position, Velocity, determination as
function of time, Interdisciplinary applications. Regional
Navigation Systems - Distress and Safety -Cospas -Sarsat -
Inmarsat Distress System - Location -Based service.
10

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Module No. and
Title Detailed content Hours
5. Inertial Navig a-
tion And Diffe r-
entialGPS Sy s-
tems Introduction to Inertial Navigation - Inertial Sensors -
Navigation Coordinates -System Implementations - System -
Level Error Models - Introduction to Differential GPS -
LADGPSWADGPS - WAAS - GEO Upl ink Subsystem (GUS)
- GEO Uplink Subsystem (GUS) Clock Steering Algorithms -
GEO Orbit Determination - Problems 09
6. Remote
SensingSystems
And Techniques Introduction - Commercial Imaging – Digital Globe – Geo
Eye - Meteorology – Meteosat – Land Observati on –
Landsat - Remote Sensing Data - Sensors - Overview - Optical
Sensors: Cameras - Non-Optical Sensors - Image Processing -
Image Interpretation - System Characteristics. . 09
Total 48

Recommended Books:
1. Fundamentals of Radar Signal Processing , Mark A. R ichards McGraw -Hill, New York, 2005
2. Radar systems, Peak Detection and Tracking, Michael O Kolawole, 2010, Elseveir
3. Introduction to Radar Systems 3/E, Skolnik, McGraw Hill.
4. Satellite systems for personal Applications, MadhavendraRichharia, A John Wiley and Sons,
Ltd., Publication.
5. Dennis Roddy, ‘Satellite Communication’, McGraw Hill International, 4th Edition, 2006.
6. Wilbur L. Pritchard, Hendri G. Suyderhoud, Robert A. Nelson, ‘Satellite Communication
Systems Engineering’, Prentice Hall/P earson, 2007 (Books to be added)
Reference Books:
1) Principles of Radar and Sonar Signal Processing, Francois Le Chevalier, Artech House
2) Radar Principles, Peyton Z. Peebles, 2009 Wiley India
3) Radar Design Principles -Signal Processing and the envir onment, Fred E. Nathanson, PHI
4) Global Positioning Systems, Inertial Navigation, and Integration. Mohinder S. Grewal
California State University at Fullerton, A John Wiley & Sons, Inc. Publication.
Assessment:
Internal: Assessment consists of two tests out of which; one should be compulsory class
test (covering two modules) and the other is either a class test (two modules from
remaining syllabus) or assignment on live problems or course project.
End Semester: Some guidelines for setting the question pap ers are as, six questions to be
Examination set each of 20 marks, out of these, question number 1 will be compulsory and it
will carry questions covering each module. From remaining questions any three
questions to be attempted by students. Mini mum 80% syllabus should be
covered in question papers of end semester examination.

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Subject Code Subject Name Credits
SPD LO1012 DSP Processors 04

Course Pre -requisite:
 Basics of Microprocessors
Course Objectives:
 To enable the students to understand the basic principles of working of DSP Processors, their
architectures and applications.

Course Outcomes: Learner will able to
 Students will be able to understand the development of digital processors and Advanced
DSP processors.

Module No. and Title Detailed content Hours
1. Fundamentals of Pr o-
grammable DSPs Introduction to DSP Processors: Differences between
DSP and other μp architectures, their comparison and
need for special ASPs, RISC & CISC CPUs.
Multiplier and Multiplier accumulator – Modified
Bus Structures and Memory access in PDSPs –
Multiple access memory – Multi -port memory –
VLIW architecture - Pipelining – Special Addressing
modes in P -DSPs – On c hip Peripherals. 10
2. Tms320c5x Processor
Architecture – Assembly language syntax -
Addressing modes – Assembly language Instructions
- Pipeline structure, Operation – Block Diagram of
DSP starter kit – Application Programs for processing
real time signals. 10
3. Tms320c6x Processor Architecture of the C6x Processor - Instruction Set -
DSP Development System: Introduction – DSP
Starter Kit Support Tools - Code Composer Studio -
Support Files - Programming Examples to Test the
DSK Tools – Application Programs for processing
real time signals 10
4. ADSP Processors
Architecture of ADSP -21XX and ADSP -210XX
series of DSP processors - Addressing modes and
assembly language instructions – Application
programs –Filter design, FFT calculation. 10

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5. Advanced Processors Architecture of TMS320C54X: Pipe line operation,
Code Composer studio – Architecture of
TMS320C6X - Architecture of Motorola DSP563XX
– Comparison of the features of DSP family
processors. 08
Total 48

Recommended Books andReference Books:

1. B.Venkataramani and M.Bhaskar, “Digital Signal Processors – Architecture, Programming and
Applications” – Tata McGraw – Hill Publishing Company Limited. New Delhi, 2003.
2. Avtar Singh and S. Srinivasan, Digital Signal Processing – Implementations using DSP
3. Microprocessors with Examples from TMS320C54xx, cengage Learning India Private Limited,
Delhi 2012
4. User guides Texas Instrumentation, Analog Devices, Motorola
5. RulphChassaing, Digital Signal Processing and Applications with the C6713 and C6416 DSK,
A JOHN WILEY & SONS, INC , PUBLICATION, 2005


Assessment
Internal: Assessment consists of two tests out of which; one should be compulsory class
test (covering two modules) and the other is either a class test (two modules from
remaining syllabus) or assignment on live problems or course project.
End Semester: Some guidelines for setting the question papers are as, six qu estions to be
Examination set each of 20 marks, out of these, question number 1 will be compulsory and it
will carry questions covering each module. From remaining questions any three
questions to be attempted by students. Minimum 80% syllabus s hould be
covered in question papers of end semester examination.

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University of Mumbai M.E. (Signal Processing) Page 20

Subject Code Subject Name Credits
SPD LO1013 Speech Processing 04

Course Pre -requisite:
 Signals and Systems
 Digital Signal Processing

Course Objectives:
 To study the basic concepts o f speech and audio and to the analysis of various M -band filter
banks for audio coding.
 To learn various transform coders for audio coding, to study the speech processing methods in
time and frequency domain.

Course Outcomes:
 At the end of this course students are able to understand the applications of different coders for
compression of speech signal.

Module No. and Title Detailed content Hours
1. Mechanics Of Speech
And Audio

Introduction - Review Of Signal Processing Theory -
Speech production mech anism – Nature of Speech signal
– Discrete time modelling of Speech production –
Classification of Speech sounds Phones – Phonemes –
Phonetic and Phonemic alphabets – Articulatory features.
Absolute Threshold of Hearing - Critical Bands -
Simultaneous Maski ng, Masking -Asymmetry, and the
Spread of Masking - Non simultaneous Masking -
Perceptual Entropy - Basic measuring philosophy -
Subjective versus objective perceptual testing - The
perceptual audio quality measure (PAQM) - Cognitive
effects in judging audio quality. 08
2. Time -Frequency
Analysis: Filter
Banks And Tran s-
forms
Introduction -Analysis -Synthesis Framework for M -band
Filter Banks - Filter Banks for Audio Coding: Design
Considerations - Quadrature Mirror and Conjugate
Quadrature Filters - Tree- Struct ured QMF and CQF M -
band Banks - Cosine Modulated “Pseudo QMF” M -band
Banks - Cosine Modulated Perfect Reconstruction (PR)
M-band Banksand the Modified Discrete Cosine
Transform (MDCT) - Discrete Fourier and Discrete
Cosine Transform - Pre-echo Distortion - Preecho Control
Strategies. 10

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University of Mumbai M.E. (Signal Processing) Page 21
3. Audio Coding And
Transform Coders
Introduction, Detection of Known Signals in White Noise:
The Correlation Receiver, Detection of Known Signals in
Colored Noise, Detection of Known Signals in Noise:
Maximum SNR Criterion, Solution of Integral Equations,
Detection of Signals with Unknown Parameters. 10
4. Time And Frequency
Domain Methods For
Speech Processing Time domain parameters of Speech signal – Methods for
extracting the parameters Energy Average Magnitude –
Zero cro ssing Rate – Silence Discrimination using
ZCRand energy Short Time Fourier analysis – Formant
extraction – Pitch Extraction using time and frequency
domain methods
Homomorphic Speech Analysis:
Cepstral analysis of Speech – Formant and Pitch
Estimation – HomomorphicV ocoders. 10
5. Linear Predictive
Analysis Of Speech
Formulation of Linear Prediction problem in Time
Domain – Basic Principle – Auto correlation method –
Covariance method – Solution of LPC equations –
Cholesky method – Durbin’s Recursive algo rithm – lattice
formation and solutions – Comparison of different
methods – Application of LPC parameters – Pitch
detection using LPC parameters – Formant analysis –
VELP – CELP. 10
Total 48
Recommended Books :
1. Digital Audio Signal Processing, Second Ed ition, UdoZolzer , A John Wiley& sons Ltd. Public a-
tions
2. Applications of Digital Signal Processing to Audio and Acoustics Mark Kahrs, Karlheinz Bra n-
denburg, KLUWER ACADEMIC PUBLISHERS NEW YORK, BOSTON, DORDRECHT,
LONDON, MOSCOW

Reference Books:
1. Digital Pr ocessing of Speech signals – L.R.Rabiner and R.W.Schaffer - Prentice Hall –1978

Assessment
Internal: Assessment consists of two tests out of which; one should be compulsory class
test (covering two modules) and the other is either a class test (two module s from
remaining syllabus) or assignment on live problems or course project.
End Semester: Some guidelines for setting the question papers are as, six questions to be
Examination set each of 20 marks, out of these, question number 1 will be comp ulsory and it
will carry questions covering each module. From remaining questions any three
questions to be attempted by students. Minimum 80% syllabus should be
covered in question papers of end semester examination.

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University of Mumbai M.E. (Signal Processing) Page 22

Subject Code Subject Name Credits
SPDLO1014 VLSI Signal Processing 04

Course Pre -requisite:
 Basics of VLSI
 Signals and Systems
 Digital Signal Processing

Course Objectives:
 To introduce various techniques for the efficient mapping of DSP algorithms on hardware platform.

Course Outcom es:Learner will able to
 Understand the various techniques for the representation.
 Efficient hardware implementation of DSP algorithms.

Module No. and Title Detailed content Hours
1. Typical DSP Alg o-
rithms And Repr e-
sentation
1.1 Review of typical DSP algo rithms : Convolution,
Correlation, Discrete Cosine Transform (DCT), Vector
Quantization, Decimator and Expander, Discrete Wavelet
Transform (DWT), Digital Filter. 06
1.2 Representation of DSP Algorithm : Block diagram,
signal flow graph, data flow graph a nd dependence graph,
DSP application demands and CMOS technologies.
2. Iteration Bound
2.1 Loop Bound and Iteration Bound, Longest Path
Algorithm, Minimum Cycle Algorithm, Iteration bound of
MultirateData . 06
3. Pipelining And
Parallel Pro-
cessing
3.1 Pip elining of FIR Digital Filters, Data Broadcast
Structures, Fine Grain pipelining.
10 3.2 Parallel Processing, Designing of Parallel Processing
system, pipelining and parallel processing for low power,
combining pipelining and parallel processing
4. Retim ing
4.1Definition, Quantitative Description of Retiming,
Prosperities of Retiming, Solving systems of inequalities,
Cutset retiming and Pipelining, Retiming for clock period
and register minimization 10
5. Unfolding And
Folding 5.1 Algorithm for unfoldin g, Properties of Unfolding,
Applications of unfolding: Sample period reduction,
word -level and bit -level parallel processing. 10

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University of Mumbai M.E. (Signal Processing) Page 23
5.2 Folding Transformations, Register Minimization
Techniques in Folded Architectures: Life time Analysis,
Forward -Backward r egister allocation, register
minimization of biquad and IIR filter, folding of
multiratesystem .
6. Fast Convolution
6.1 Cook -Toom Algorithm, Winograd Algorithm, Iterated
Convolution, Cyclic Convolution. 06
Total 48

Textbooks:
1. “VLSI Digital Signal Proc essing Systems, Design and Implementation”, by KeshabParhi, John -
Wiley & sons.

2. “FPGA -based Implementation of Signal Processing Systems” by Roger Woods, John McAllister,
Gaye Lightbody, Ying Yi, Wiley, John -Wiley and Sons .
References:

1. “Principles of CMO S VLSI Design”, by Neil H.E.Weste, Kamran Eshraghian, Pearson Education.
2. “DSP Integrated Circuits”, by Lars Wanhammar, Linkoping University, Academic Press Series in
Engineering.

Assessment:
Internal: Assessment consists of two tests out of which; one sh ould be compulsory class
test (covering two modules) and the other is either a class test (two modules from
remaining syllabus) or assignment on live problems or course project.
End Semester: Some guidelines for setting the question papers are as, six ques tions to be
Examination set each of 20 marks, out of these, question number 1 will be compulsory and it
will carry questions covering each module. From remaining questions any three
questions to be attempted by students. Minimum 80% syllabus sho uld be
covered in question papers of end semester examination.

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University of Mumbai M.E. (Signal Processing) Page 24

Course Code Course Name Credits
ILO1 011 Product Life Cycle Management 03

Objectives :
1. To familiarize the students with the need, benefits and components of PLM
2. To acquaint students with Product Data Management & PLM strategies
3. To give insights into new product development program and guidelines for designing and d e-
veloping a product
4. To familiarize the students with Virtual Product Development
Outcomes: Learner will be able to…
1. Gain know ledge about phases of PLM, PLM strategies and methodology for PLM feasibility
study and PDM implementation.
2. Illustrate various approaches and techniques for designing and developing products.
3. Apply product engineering guidelines / thumb rules in designin g products for moulding, m a-
chining, sheet metal working etc.
4. Acquire knowledge in applying virtual product development tools for components, machining
and manufacturing plant

Module Detailed Contents Hrs
01 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 10
02 ProductDesign: Product Design and Developme nt 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 Strategie s, 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 09
03 Product Data Management (PDM): Product and Product Data, PDM syste ms and
importance, Components of PDM, Reason for implementing a PDM system, financial
justification of PDM, barriers to PDM implementation 05
04 Virtual Product Development Tools: For components, machines, and manufacturing
plants, 3D CAD systems and reali stic rendering techniques, Digital mock -up, Model
building, Model analysis, Modeling and simulations in Product Design, Examples/Case
studies 05

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University of Mumbai M.E. (Signal Processing) Page 25

05 Integration of Environmental Aspects in Product Design: Sustainable
Development, Design for Environment,Ne ed 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 05
06 Life Cy cle 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 05

Assessment :

Internal:
Assessment consists of two tests out of which; one should be compulsory class test and the other is
either a class test or assignment on live problems or course p roject.

End Semester Theory Examination:
Some guidelines for setting up the question paper.Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will be
proportional to number o f respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four question need to be solved.



REFERENCES:
1. John Stark, “Product Lifecycle Management: Paradigm for 21st Century Product Realisation”, Springer -
Verlag, 2004. ISBN: 1852338105
2. Fabio Giudice, Guido La Rosa, AntoninoRisita no, “Product Design for the environment -A life cycle a p-
proach”, Taylor & Francis 2006, ISBN: 0849327229
3. SaaksvuoriAntti, ImmonenAnselmie, “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

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University of Mumbai M.E. (Signal Processing) Page 26

Course Code Course Name Credits
ILO1 012 Reliability Engineering 03

Objectives :
1. To familiarize the students with various aspects of probability theory
2. To acquai nt the students with reliability and its concepts
3. To introduce the students to methods of estimating the system reliability of simple and complex systems
4. To understand the various aspects of Maintainability, Availability and FMEA procedure
Outcomes: Learne r will be able to…
1. Understand and apply the concept of Probability to engineering problems
2. Apply various reliability concepts to calculate different reliability parameters
3. Estimate the system reliability of simple and complex systems
4. Carry out a Failure Mo de Effect and Criticality Analysis

Module Detailed Contents Hrs
01 Probability theory: Probability: Standard definitions and concepts; Conditional
Probability, Baye’s Theorem.
Probability Distributions: Central tendency and Dispersion; Binomial, Normal,
Poisson, Weibull, Exponential, relations between them and their significance.
Measures of Dispersion: Mean, Median, Mode, Range, Mean Deviation,
Standard Deviation, Variance, Skewness and Kurtosis. 08
02 Reliability Concepts: Reliability definitions, Impo rtance of Reliability, Quality
Assurance and Reliability, Bath Tub Curve.
Failure Data Analysis: Hazard rate, failure density, Failure Rate, Mean Time To
Failure (MTTF), MTBF, Reliability Functions.
Reliability Hazard Models: Constant Failure Rate, Linearl y increasing, Time
Dependent Failure Rate, Weibull Model. Distribution functions and reliability
analysis. 08
03 System Reliability : System Configurations: Series, parallel, mixed
configuration, k out of n structure, Complex systems. 05
04 Reliability Im provement : Redundancy Techniques: Element redundancy, Unit
redundancy, Standby redundancies. Markov analysis.
System Reliability Analysis – Enumeration method, Cut -set method, Success
Path method, Decomposition method. 08
05 Maintainability and Availabili ty: System downtime, Design for
Maintainability: Maintenance requirements, Design methods: Fault Isolation and
self-diagnostics, Parts standardization and Interchangeability, Modularization
and Accessibility, Repair Vs Replacement.
Availability – qualitati ve aspects. 05
06 Failure Mode, Effects and Criticality Analysis: Failure mode effects analysis,
severity/criticality analysis, FMECA examples. Fault tree construction, basic
symbols, development of functional reliability block diagram, Fau1t tree
analysi s and Event tree Analysis 05

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University of Mumbai M.E. (Signal Processing) Page 27
Assessment :

Internal:
Assessment consists of two tests out of which; one should be compulsory class test and the other is
either a class test or assignment on live problems or course project.

End Semester Theory Examinat ion:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will be
proportional to number of respective lecture hours as mentio n in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Fou r question need to be solved.



REFERENCES:
1. L.S. Srinath, “Reliability Engineering”, Affiliated East -Wast Press (P) Ltd., 1985.
2. Charles E. Ebeling, “Reliability and Maintainability Engineering”, Tata McGraw Hill.
3. B.S. Dhillion, C. Singh, “Engineering Reli ability”, John Wiley & Sons, 1980.
4. P.D.T. Conor, “Practical Reliability Engg.”, John Wiley & Sons, 1985.
5. K.C. Kapur, L.R. Lamberson, “Reliability in Engineering Design”, John Wiley & Sons.
6. Murray R. Spiegel, “Probability and Statistics”, Tata McGraw -Hill P ublishing Co. Ltd.

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University of Mumbai M.E. (Signal Processing) Page 28

Course Code Course Name Credits
ILO1 013 Management Information System 03

Objectives :
1. The course is blend of Management and Technical field.
2. Discuss the roles played by information technology in today’s business and define variou s technology
architectures on which information systems are built
3. Define and analyze typical functional information systems and identify how they meet the needs of the
firm to deliver efficiency and competitive advantage
4. Identify the basic steps in systems development
Outcomes: Learner will be able to…
1. Explain how information systems Transform Business
2. Identify the impact information systems have on an organization
3. Describe IT infrastructure and its components and its current trends
4. Understand the principa l tools and technologies for accessing information from databases to improve
business performance and decision making
5. Identify the types of systems used for enterprise -wide knowledge management and how they provide
value for businesses

Module Detailed Con tents Hrs
01 Introduction To Information Systems (IS): Computer Based Information
Systems, Impact of IT on organizations, Imporance of IS to Society.
Organizational Strategy, Competitive Advantages and IS. 4
02 Data and Knowledge Management: Database Ap proach, Big Data, Data
warehouse and Data Marts, Knowledge Management.
Business intelligence (BI): Managers and Decision Making, BI for Data analysis
and Presenting Results 7
03 Ethical issues and Privacy: Information Security. Threat to IS, and Securit y
Controls 7
04 Social Computing (SC): Web 2.0 and 3.0, SC in business -shopping, Marketing,
Operational and Analytic CRM, E -business and E -commerce – B2B B2C.
Mobile commerce. 7
05 Computer Networks Wired and Wireless technology, Pervasive computing,
Cloud computing model. 6
06 Information System within Organization: Transaction Processing Systems,
Functional Area Information System, ERP and ERP support of Business Process.
Acquiring Information Systems and Applications: Various System development
life cycle models. 8

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University of Mumbai M.E. (Signal Processing) Page 29
Assessment :

Internal:
Assessment consists of two tests out of which; one should be compulsory class test and the other is
either a class test or assignment on live problems or course project.

End Semester Theory Examination:
Some g uidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will be
proportional to number of respective lecture hours as mention in the syll abus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four question ne ed to be solved.



REFERENCES:
1. Kelly Rainer, Brad Prince ,Management Information Systems , Wiley
2. K.C. Laudon and J.P. Laudon, Management Information Systems: Managing the Digital Firm , 10th
Ed., Prentice Hall, 2007.
3. D. Boddy, A. Boonstra, Managing Informati on Systems: Strategy and Organization, Prentice Hall, 2008

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University of Mumbai M.E. (Signal Processing) Page 30

Course Code Course Name Credits
ILO1 014 Design of Experiments 03

Objectives:
1. To understand the issues and principles of Design of Experiments (DOE)
2. To list the guidelines for designing expe riments
3. To become familiar with methodologies that can be used in conjunction with experimental d e-
signs for robustness and optimization

Outcomes: Learner will be able to…
1. Plan data collection, to turn data into information and to make decisions that lead to appropriate
action
2. Apply the methods taught to real life situations
3. Plan, analyze, and interpret the results of experiments

Module Detailed Contents Hrs
01 Introduction
1.1 Strategy of Experimentation
1.2 Typical Applications of Experimental Design
1.3 Guidelines for Designing Experiments
1.4 Response Surface Methodology 06
02 Fitting Regression Models
2.1 Linear Regression Models
2.2 Estimation of the Parameters in Linear Regression Models
2.3 Hypothesis Testing in Multiple Regression
2.4 Confidence Intervals in Multiple Regression
2.5 Prediction of new response observation
2.6 Regression model diagnostics
2.7 Testing for lack of fit 08
03 Two-Level Factorial Designs and Analysis
3.1 The 22 Design
3.2 The 23 Design
3.3 The General2k Design
3.4 A Sing le Replicate of the 2k Design
3.5 The Addition of Center Points to the 2k Design,
3.6 Blocking in the 2k Factorial Design
3.7 Split -Plot Designs 07
04 Two-Level Fractional Factorial Designs and Analysis
4.1 The One -Half Fraction of the 2k Design
4.2 The O ne-Quarter Fraction of the 2k Design
4.3 The General 2k-p Fractional Factorial Design
4.4 Resolution III Designs
4.5 Resolution IV and V Designs
4.6 Fractional Factorial Split -Plot Designs 07
05 Conducting Tests
5.1 Testing Logistics 07

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University of Mumbai M.E. (Signal Processing) Page 31
5.2 Statistical aspec ts of conducting tests
5.3 Characteristics of good and bad data sets
5.4 Example experiments
5.5 Attribute Vs Variable data sets
06 Taguchi Approach
6.1 Crossed Array Designs and Signal -to-Noise Ratios
6.2 Analysis Methods
6.3 Robust design examples 04


Assessment
Internal:
Assessment consists of two tests out of which; one should be compulsory class test and the other is
either a class test or assignment on live problems or course project.

End Semester Theory Examination:
Some guidelines for set ting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will be
proportional to number of respective lecture hours as mention in the syllabus.
1. Question pa per will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four question need to be solved.


REFERENCES:
1. Raymond H. Mayers, Douglas C. Montgomery, Christine M. Anderson -Cook, Response Surface Met h-
odology: Process and Product Optimization using Designed Experiment, 3rd edition ,John Wiley &
Sons, New York, 2001
2. D.C. Montgomery , Design and Analy sis of Experiments, 5th edition, John Wiley & Sons, New York,
2001
3. George E P Box, J Stuart Hunter, William G Hunter, Statics for Experimenters: Design, Innovation and
Discovery, 2nd Ed. Wiley
4. W J Dimond, Peactical Experiment Designs for Engineers and Scin tists, John Wiley and Sons Inc.
ISBN: 0 -471-39054 -2
5. Design and Analysis of Experiments (Springer text in Statistics), Springer by A.M. Dean, and D. T.Voss
6. Phillip J Ross, “Taguchi Technique for Quality Engineering,” McGrawHill
7. Madhav S Phadke, “ Quality En gineering using Robust Design,” Prentice Hall

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University of Mumbai M.E. (Signal Processing) Page 32

Course Code Course Name Credits
ILO1 015 Operations Research 03

Objectives :
1. Formulate a real -world problem as a mathematical programming model.
2. Understand the mathematical tools that are needed to solve optimization problems.
3. Use mathematical software to solve the proposed models.
Outcomes: Learner will be able to…
1. Understand the theoretical workings of the simplex method, the relationship between a linear program
and its dual, including strong duality and complementary slackness.
2. Perform sensitivity analysis to determine the direction and magnitude of change of a model’s optimal s o-
lution as the data change.
3. Solve specialized linear programming problems like the transportation and assignment problems, s olve
network models like the shortest path, minimum spanning tree, and maximum flow problems.
4. Understand the applications of integer programming and a queuing model and compute important pe r-
formance measures

Module Detailed Contents Hrs
01 Introduction to Operations Research : Introduction, , Structure of the
Mathematical Model, Limitations of Operations Research
Linear Programming : Introduction, Linear Programming Problem,
Requirements of LPP, Mathematical Formulation of LPP, Graphical method,
Simplex Method Penalty Cost Method or Big M -method, Two Phase Method,
Revised simplex method, Duality , Primal – Dual construction, Symmetric and
Asymmetric Dual, Weak Duality Theorem, Complimentary Slackness Theorem,
Main Duality Theorem, Dual Simplex Method, S ensitivity Analysis
Transportation Problem : Formulation, solution, unbalanced Transportation
problem. Finding basic feasible solutions – Northwest corner rule, least cost
method and V ogel’s approximation method. Optimality test: the stepping stone
method and MODI method.
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 S alesman Problem
Integer Programming Problem : Introduction, Types of Integer Programming
Problems, Gomory’s cutting plane Algorithm, Branch and Bound Technique .
Introduction to Decomposition algorithms. 14
02 Queuing models : queuing systems and structures, single server and multi -server
models, Poisson input, exponential service, constant rate service, finite and
infinite population 05
03 Simulation : Introduction, Methodology of Simulation, Basic Concepts,
Simulation Procedure, Application of Simulation Monte-Carlo Method:
Introduction, Monte -Carlo Simulation, Applications of Simulation, Advantages
of Simulation, Limitations of Simulation 05

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University of Mumbai M.E. (Signal Processing) Page 33
04 Dynamic programming . Characteristics of dynamic programming. Dynamic
programming approach for Priority Managemen t employment smoothening,
capital budgeting, Stage Coach/Shortest Path, cargo loading and Reliability
problems. 05
05 Game Theory . Competitive games, rectangular game, saddle point, minimax
(maximin) method of optimal strategies, value of the game. Soluti on of games
with saddle points, dominance principle. Rectangular games without saddle
point – mixed strategy for 2 X 2 games. 05
06 Inventory Models : Classical EOQ Models, EOQ Model with Price Breaks,
EOQ with Shortage, Probabilistic EOQ Model, 05

Asses sment :

Internal:
Assessment consists of two tests out of which; one should be compulsory class test and the other is
either a class test or assignment on live problems or course project.

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will be
proportional to number of respective lecture hours as mention in the syllabus.
1. Question paper wil l comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four question need to be solved.


REFER ENCES:
1. Taha, H.A. "Operations Research - An Introduction", Prentice Hall, (7th Edition), 2002.
2. Ravindran, A, Phillips, D. T and Solberg, J. J. "Operations Research: Principles and Practice", John Wil-
ley and Sons, 2nd Edition, 2009.
3. Hiller, F. S. and Lieber mann, G. J. "Introduction to Operations Research", Tata McGraw Hill, 2002.
4. Operations Research, S. D. Sharma, KedarNath Ram Nath -Meerut.
5. Operations Research, KantiSwarup, P. K. Gupta and Man Mohan, Sultan Chand & Sons.

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University of Mumbai M.E. (Signal Processing) Page 34

Course Code Course Name Credits
ILO1016 Cyber Security and Laws 03

Objectives :
1. To understand and identify different types cyber crime and cyber law
2. To recognized Indian IT Act 2008 and its latest amendments
3. To learn various types of security standards compliances
Outcomes: Learner wil l be able to…
1. Understand the concept of cybercrime and its effect on outside world
2. Interpret and apply IT law in various legal issues
3. Distinguish different aspects of cyber law
4. Apply Information Security Standards compliance during software design and deve lopment

Module Detailed Contents Hrs
01 Introduction to Cybercrime: Cybercrime definition and origins of the world,
Cybercrime andinformation security, Classifications of cybercrime, Cybercrime
and the
Indian ITA 2000, A global Perspective on cybercrimes . 4
02 Cyber offenses & Cybercrime: How criminal plan the attacks, Social Engg,
Cyber stalking, Cyber café and Cybercrimes, Botnets, Attack vector, Cloud
computing, Proliferation ofMobile and Wireless Devices, Trends in Mobility,
Credit Card Frauds in
Mob ile and Wireless Computing Era, Security Challenges Posed byMobile
Devices, Registry Settings for Mobile Devices, AuthenticationService Security,
Attacks on Mobile/Cell Phones, Mobile Devices:Security Implications for
Organizations, Organizational Measures forHandling Mobile, Devices -Related
Security Issues, OrganizationalSecurity Policies and Measures in Mobile
Computing Era, Laptops 9
03 Tools and Methods Used in Cyberline
Phishing, Password Cracking, Keyloggers and Spywares, Virus and Worms,
Steganograp hy, DoS and DDoS Attacks, SQL Injection, Buffer Over Flow,
Attacks on Wireless Networks, Phishing, Identity Theft (ID Theft) 6
04 The Concept of Cyberspace
E-Commerce , The Contract Aspects in Cyber Law ,The Security Aspect of
Cyber Law ,The Intellectua l Property Aspect in Cyber Law
, The Evidence Aspect in Cyber Law , The Criminal Aspect in Cyber Law,
Global Trends in Cyber Law , Legal Framework for Electronic Data Interchange
Law Relating to Electronic Banking , The Need for an Indian Cyber Law 8
05 Indian IT Act.
Cyber Crime and Criminal Justice : Penalties, Adjudication and Appeals Under
the IT Act, 2000, IT Act. 2008 and its Amendments 6
06 Information Security Standard compliances
SOX, GLBA, HIPAA, ISO, FISMA, NERC, PCI. 6

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University of Mumbai M.E. (Signal Processing) Page 35
Assessment :

Internal:
Assessment consists of two tests out of which; one should be compulsory class test and the other is
either a class test or assignment on live problems or course project.

End Semester Theory Examination:
Some guidelines for setting up the que stion paper. Minimum 80% syllabus should be covered in
question papers of end semester examination.
In question paper weightage of each module will be proportional to number of respective lecture
hours as mention in the syllabus.
1. Question paper will compr ise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four question need to be solved.



REFERENCES:
1. Nina Godbole, Sunit Belapure, Cyber Security , Wiley India, New Delhi
2. The Indian Cyber Law by Suresh T. Vishwanathan; Bharat Law House New Delhi
3. The Information technology Act, 2000; Bare Act - Professional Book Publishers, New Delhi.
4. Cyber Law & Cyber Crim es By Advocate Prashant Mali; Snow White Publications, Mumbai
5. Nina Godbole, Information Systems Security, Wiley India, New Delhi
6. Kennetch J. Knapp, Cyber Security &Global Information Assurance Information Science Publishing.
7. William Stallings , Cryptograph y and Network Security, Pearson Publication
8. Websites for more information is available on : The Information Technology ACT, 2008 - TIFR :
https://www.tifrh.res.in
9. Website for more information , A Compliance Primer for IT professional :
https://www.sans.o rg/reading -room/whitepapers/compliance/compliance -primer -professionals -33538

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University of Mumbai M.E. (Signal Processing) Page 36

Course Code Course Name Credits
ILO101 7 Disaster Management and Mitigation Measures 03

Objectives:
1. To understand physics and various types of disaster occurring aroun d the world
2. To identify extent and damaging capacity of a disaster
3. To study and understand the means of losses and methods to overcome /minimize it.
4. To understand role of individual and various organization during and after disaster
5. To understand applicat ion of GIS in the field of disaster management
6. To understand the emergency government response structures before, during and after disa s-
ter
Outcomes: Learner will be able to…
1. Get to know natural as well as manmade disaster and their extent and possible ef fects on
the economy.
2. Plan of national importance structures based upon the previous history.
3. Get acquainted with government policies, acts and va rious organizational structure associ-
ated with an emergency.
4. Get to k now the simple do’s and don’ts in such extreme events and act accordingly.

Module Detailed Contents Hrs
01 Introduction
1.1 Definition of Disaster, hazard, global and Indian scenario, general perspective, i m-
portance of study in human life, Direct and indirect effects of disasters, long term
effects of disasters. Introduction to global warming and climate change. 03
02 Natural Disaster and Manmade disasters:
1.2 2.1 Natural Disaster: Meaning and nature of natural disaster, Flood, Flash flood,
drought, cloud burst, Earthquake, Landslides, Avalanche s, Volcanic eruptions,
Mudflow, Cyclone, Storm, Storm Surge, climate change, global warming, sea le v-
el rise, ozone depletion
1.3 Manmade Disasters: Chemical, Industrial, Nuclear and Fire Hazards. Role of gro w-
ing population and subsequent industrialization, urbanization and changing lifestyle
of human beings in frequent occurrences of manmade disasters. 09
03 Disaster Management, Policy and Administration
1.4 3.1 Disaster management: meaning, concept, importance, objective of disaster ma n-
agement policy, disaste r risks in India, Paradigm shift in disaster management.
1.5 3.2 Policy and administration:
1.6 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
04 Institutional Framework for Disaster Management in India:
1.7 4.1 Importance of public awareness, Preparation and execution of emergency ma n-
agement programme.Scope and responsibili ties of National Institute of Disaster
Management (NIDM) and National disaster management authority (NDMA) in I n-
dia.Methods and measures to avoid disasters, Management of casualties, set up of
emergency facilities, importance of effective communication amo ngst different
agencies in such situations.
1.8 4.2 Use of Internet and softwares for effective disaster management. Applications of 06

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University of Mumbai M.E. (Signal Processing) Page 37
GIS, Remote sensing and GPS in this regard.
05 Financing Relief Measures:
1.9 5.1 Ways to raise finance for relief expenditur e, 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 app roach these teams.
1.10 5.2 International relief aid agencies and their role in extreme events. 09
06 Preventive and Mitigation Measures:
6.1 Pre -disaster, during disaster and post -disaster measures in some events in
general
6.2 Structural mapping: Risk mapp ing, assessment and analysis, sea walls and
embankments, Bio shield, shelters, early warning and communication
6.3 Non Structural Mitigation: Community based disaster preparedness, risk
transfer and risk financing, capacity development and training, awaren ess
and education, contingency plans.
6.4 Do’s and don’ts in case of disasters and effective implementation of relief
aids. 06

Assessment :

Internal:
Assessment consists of two tests out of which; one should be compulsory class test and the other is
either a class test or assignment on live problems or course project.

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question pa per weightage of each module will be
proportional to number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q. 2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four question need to be solved.

REFERENCES:
1. ‘Disaster Management’ by Harsh K.Gupta, Universities Press Publications.
2. ‘Disaster Management: An Appraisal of Insti tutional Mechanisms in India’ by O.S.Dagur, pu b-
lished by Centre for land warfare studies, New Delhi, 2011.
3. ‘Introduction to International Disaster Management’ by Damon Copolla, Butterworth Hein e-
mann Elseveir Publications.
4. ‘Disaster Management Handbook’ by Jack Pinkowski, CRC Press Taylor and Francis group.
5. ‘Disaster management & rehabilitation’ by Rajdeep Dasgupta, Mittal Publications, New Delhi.
6. ‘Natural Hazards and Disaster Management, Vulnerability and Mitigation – R B Singh, Rawat
Publications
7. Concepts and Techniques of GIS –C.P.Lo Albert, K.W. Yonng – Prentice Hall (India) Public a-
tions.
(Learners are expected to refer reports published at national and International level and updated
information available on authentic web sites)

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University of Mumbai M.E. (Signal Processing) Page 38

Course Code Course N ame Credits
ILO101 8 Energy Audit and Management 03

Objectives:
1. To understand the importance energy security for sustainable development and the fundame n-
tals of energy conservation.
2. To introduce performance evaluation criteria of various electrical and thermal installations to
facilitate the energy management
3. To relate the data collected during performance evaluation of systems for identification of energy saving
opportunities.
Outcomes: Learner will be able to…
1. To identify and describe present state of energy security and its importance.
2. To identify and describe the basic principles and methodologies adopted in energy audit of an
utility.
3. To describe the energy performance evaluation of some common electrical installations and
identify the energy sav ing opportunities.
4. To describe the energy performance evaluation of some common thermal installations and ide n-
tify the energy saving opportunities
5. To analyze the data collected during performance evaluation and recommend energy saving measures

Module Detailed Contents Hrs
01 Energy Scenario:
Present Energy Scenario, Energy Pricing, Energy Sector Reforms, Energy Security,
Energy Conservation and its Importance, Energy Conservation Act -2001 and its
Features. Basics of Energy and its various forms, Materi al and Energy balance 04
02 Energy Audit Principles:
Definition, Energy audit - need, Types of energy audit, Energy management (audit)
approach -understanding energy costs, Bench marking, Energy performance, Matching
energy use to requirement, Maximizing system efficiencies, Optimizing the input energy
requirements, Fuel and energy substitution. Elements of monitoring& targeting; Energy
audit Instruments; Data and information -analysis.
Financial analysis techniques: Simple payback period, NPV , Return on i nvestment
(ROI), Internal rate of return (IRR) 08
03 Energy Management and Energy Conservation in Electrical System:
Electricity billing, Electrical load management and maximum demand Control; Power
factor improvement, Energy efficient equipments and app liances, star ratings.
Energy efficiency measures in lighting system, Lighting control: Occupancy sensors,
daylight integration, and use of intelligent controllers.
Energy conservation opportunities in: water pumps, industrial drives, induction motors,
motor retrofitting, soft starters, variable speed drives. 10
04 Energy Management and Energy Conservation in Thermal Systems:
Review of different thermal loads; Energy conservation opportunities in: Steam
distribution system, Assessment of steam distribu tion losses, Steam leakages, Steam
trapping, Condensate and flash steam recovery system.
General fuel economy measures in Boilers and furnaces, Waste heat recovery, use of
insulation - types and application. HVAC system: Coefficient of performance, Capacit y,
factors affecting Refrigeration and Air Conditioning system performance and savings
opportunities. 10

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University of Mumbai M.E. (Signal Processing) Page 39
05 Energy Performance Assessment:
On site Performance evaluation techniques, Case studies based on: Motors and variable
speed drive, pumps, HV AC sys tem calculations; Lighting System: Installed Load
Efficacy Ratio (ILER) method, Financial Analysis. 04
06 Energy conservation in Buildings:
Energy Conservation Building Codes (ECBC): Green Building, LEED rating,
Application of Non -Conventional and Renew able Energy Sources 03

Assessment :

Internal:
Assessment consists of two tests out of which; one should be compulsory class test and the other is
either a class test or assignment on live problems or course project.

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will be
proportional to number of respective lecture hours as mention in th e syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four quest ion need to be solved.


REFERENCES:
1. Handbook of Electrical Installation Practice, Geofry Stokes, Blackwell Science
2. Designing with light: Lighting Handbook, By Anil Valia, Lighting System
3. Energy Management Handbook, By W.C. Turner, John Wiley and Sons
4. Handbook on Energy Audits and Management, edited by A. K. Tyagi, Tata Energy Research Inst i-
tute (TERI).
5. Energy Management Principles, C.B.Smith, Pergamon Press
6. Energy Conservation Guidebook, Dale R. Patrick, S. Fardo, Ray E. Richardson, Fairmont Press
7. Handbook of Energy Audits, Albert Thumann, W. J. Younger, T. Niehus, CRC Press
8. www.energymanagertraining.com
8. www.bee -india.nic.in

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University of Mumbai M.E. (Signal Processing) Page 40

Subject
Code Subject
Name Teaching Scheme Credits
SPL101 Laboratory
1 Theory Practical Tutorial Theory TW/Practical Tutor ial Total
- 02 - - 01 - 01

Subject
Code Subject
Name Examination Scheme
Theory Marks
Term
work Practical Oral Total Internal Assessment End
Sem.
Exam
Test1 Test2 Avg
of
Test1
and
Test2
SPL101 Laboratory
I - - - - 25 25 - 50


Term Work:
At least minimum ten experiments covering entire syllabus of DSP Processors should be set to
have well predefined inference and conclusion. The experiments should be student’s centric and
attempt should be made to make experiments more meaningful, i nteresting and innovative. Term
work assessment must be based on oral performance of the student with every experiment. The
grade must be converted to marks as per credit & grading system manual, and should be added
and average. Base on above scheme gradin g & term work assessment should be done.
Practical & oral examination will be based on entire syllabus. The external examiner should be
PG recognized teacher by University of Mumbai.

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University of Mumbai M.E. (Signal Processing) Page 41


Subject
Code Subject
Name Teaching Schem e Credits
SPL102 Laboratory
II Theory Practical Tutorial Theory TW/Practical Tutorial Total
- 02 - - 01 - 01

Subject
Code Subject
Name Examination Scheme
Theory Marks Term
work Practical Oral Total
Internal Assessment End
Sem.
Exam Test1 Test2 Avg
of
Test1
and
Test2
SPL102 Laboratory
II - - - - 25 25 - 50


Term Work:

At least minimum ten experiments covering entire syllabus of Image Processing should be set to
have well predefined infer ence and conclusion. The experiments should be student’s centric and
attempt should be made to make experiments more meaningful, interesting and innovative. Term
work assessment must be based on oral performance of the student with every experiment. The
grade must be converted to marks as per credit & grading system manual, and should be added
and average. Base on above scheme grading & term work assessment should be done.
Practical & oral examination will be based on entire syllabus. The external examiner should be
PG recognized teacher by University of Mumbai.

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University of Mumbai M.E. (Signal Processing) Page 42




Subject Code Subject Name Credits
SPC201 Adaptive Signal Processing
04

Course Pre -requisite:
 Signals and Systems
 Digital Signal Processing

Course Objectives:
 To enable the student to understand the basic principles of adaptive signal processing, spectral
detection and estimation methods used in communication and their applications .

Course Outcomes: Learner will able to
 Students will be able to understand the different types of ad aptive filters used in signal pro-
cessing applications.


Module No. and
Title Detailed content Hours
1.Introduction

Introduction to Adaptive Processing General properties,
filtering, prediction and smoothing, applications in
Communications: Equaliza tion, Echo cancellation, Noise
cancellation.
07
2.
Orthogonalized
adaptive filters

Optimal Signal Processing Principles of orthogonality,
minimum square error, Wiener Hopf equations, state space
model, innovations process, Kalman filter equations. Linear
Adaptive Equalization Gradient search and steepest descent
adaptation algorithms, effect of Eigen value spread on stability
and rate of convergence.
10
3. Least mean
squares
adaptive filter

Stochastic gradient descent using Least Mean Square s (LMS)
algorithms, transient and steady state properties including
convergence rate and mis -adjustment, least square estimation,
normal equations, Recursive Least Squares (RLS) algorithms,
relationship between RCS and Kalman filters.
11
4. Kalman
filter theory
Kalman Filter theory; Introduction; recursive minimum mean
square estimation for scalar random variables; statement of the
kalman filtering problem: the innovations process, Estimation
of state using the innovations process.
10

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University of Mumbai M.E. (Signal Processing) Page 43

5. Fast
recursive
algorithms and
applications

Introduction to Fast Recursive Algorithms for Equalization
Adaptive linear prediction, lattice filtering for RLS. Other
Appl ications Echo cancellation in wired systems, Noise
cancellation
10
Total 48

Text Books:
1. Adaptive Signal Processing, B. Widrow, S. Stearns, Prentice -Hall, 1985.
2. Adaptive Signal Processing, L. Sibul, Ed., IEEE Press, 1987 .
3. Adaptive Filters: Structures, Algorithms and Applications, M. Honig, D. Messerschmitt,
Kluwer, 1984.


ReferenceBooks:
1. Statistical and Adaptive Signal Processing: Spectral Estimation, Signal Modeling, Adaptive Fi l-
tering and Array Processing, D. Manolakis, V . Ingle, S. Kogan, McGraw Hill, 1999.
2. Fundamentals of Adaptive Filtering, Ali H. Sayed, John Wiley, 2003.
3. Mohinder S. Grewal, Angus P. Andrews, Kalman Filtering: Theory and Practice Using
MATLAB, John Wiley & Sons. 2008.

Assessment:
Internal: Assessment consists of two tests out of which; one should be compulsory class
test (covering two modules) and the other is e ither a class test (two modules from
remaining syllabus) or assignment on live problems or course project.
End Semester: Some guidelines for setting the question papers are as, six questions to be
Examination set each of 20 marks, out of these, question number 1 will be compulsory and it
will carry questions covering each module. From remaining questions any three
questions to be attempted by students. Minimum 80% syllabus should be
covered in question papers of end semester examination.

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University of Mumbai M.E. (Signal Processing) Page 44

Subje ct Code Subject Name Credits
SPC202 Signal Processing Algorithms and
Applications 04
Course Pre -requisite:
Signals and Systems , Random Signal Processing
Course Objectives:
To enable the student to understand the basic principles of random signal pro cessing, spectral detection
and estimation methods used in communication system design and their applications..

Course Outcomes:
Students will be able to design adaptive filters for a given application and to design multirate
DSP systems

Module No. an d Title Detailed content Hours
1. Orthogonal Tran s-
forms DFT, DCT and Haar; Properties of DFT; Computation
of DFT: FFT and structures, Decimation in time,
Decimation in frequency; Linear convolution using
DFT 08
2. Digital Filter Stru c-
tures Basic FIR/IIR filt er structures, FIR/IIR Cascaded
lattice structures, Parallel allpass realization of IIR
transfer functions, Sinecosine generator; Computational
complexity of filter structures 07
3. Data Compression An information theory primer: Histroic notes and
informatio n entropy, Source coding: Huffman
algorithm, Delta Modulation, adaptive delta modulation
and continuously variable slope delta modulation,
differential Pulse code modulation and adaptive
differential pulse code modulation 09
4. Signal Processing In
Communica tion R e-
ceiver
Temporal Equalization, Space Time Equalization,
Frequency Domain Equalization, Symbol Timing
Recovery, Channel Quality Estimation, Automatic
Frequency Control, Overall Receiver Block. 08
5. Error Correcting
Codes: Channel
Coding: The Cha n-
nel M odel, The
Channel Capacity Error Correcting codes: Hamming distance and error
correction, liner blocks codes, cyclic codes, Bose,
Chaudhari and Hocquenghem codes, convolution
codes, Viterbi decoding, interleaving and concatenated
codes and turbo codes. 08

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University of Mumbai M.E. (Signal Processing) Page 45

6. Speech Coding Speech coding, adaptive predictive coding and sub -
band coding, vocoders and liner predictive coding,
Image coding, joint Photo graphic expert group(JPEG),
moving pictures expert group(MPEG), the layer -3 of
MPEG -1 algorithms(MP3), the Lemp el-ZIV algorithms 08
Total 48

Recommended Books:
1. R. Chassaing and D. Reay, Digital signal processing and applications with TMS320C6713 and
TMS320C6416, Wiley, 2008.
2. S. K. Mitra, Digital Signal Processing: A Computer Based Approach, 3rd Edn., MH, 2008.
3. J. G. Proakis and D. G. Manolakis, Digital Signal Processing: Principles, Algorithms and Appl i-
cations, Pearson Prentice Hall, 2007
4. Day Stranneby and William Walker, “Digital Signal processing and Applications”, Elsevier
Publications, second edition 2013.

Assessment:
Internal: Assessment consists of two tests out of which; one should be compulsory class
test (covering two modules) and the other is either a class test (two modules from
remaining syllabus) or assignment on live problems or course project.
End Semester: Some guidelines for setting the question papers are as, six questions to be
Examination set each of 20 marks, out of these, question number 1 will be compulsory and it
will carry questions covering each module. From remaining question s any three
questions to be attempted by students. Minimum 80% syllabus should be
covered in question papers of end semester examination.

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University of Mumbai M.E. (Signal Processing) Page 46

Subject Code Subject Name Credits
SPC203 Video Processing 04
Course Pre -requisite:
Basic knowledge of error con trol and coding for communication and Image processing is expected.
Course Objectives:
To enable the student to understand basics of video, processing methods and different video coding
techniques.
Course Outcomes:
The studentswill be able to do video cod ing with the help of different coding techniques.
Module No. and
Title Detailed content Hours
1. Video For-
mation, Per-
ception and
Representation
1.1Video Capture and Display: Principles of Color Video,
Video cameras, Video Cameras, Composite versus Componen t
Models, Gamma Connection, Digital video.
06 1.2 Analog Video Raster: Progressive v/s Interlaced scans,
Characterization of Video Raster, Spatial and Temporal
resolution, Signal Bandwidth, Multiplexing of Luminance,
Chrominance and Audio.
1.3 Digit al Video : Notation, ITU -R.BT.601 Digital Video
Format, Other Digital Video Formats and Applications Digital
Video Quality Measure.
2. Fourier Anal y-
sis of Video
Signals and
Frequency R e-
sponse of the
Human Visual
System.
2.1Multidimensional Continuous -Space Signals and Systems,
Multidimensional discrete -Space Signals and systems
08 2.2 Frequency Domain Characterization of Video Signals:
Spatial and Temporal Frequencies. Temporal Frequencies
Caused by Linear Motion.
2.3 Frequency Response of the Human V isual System:
Temporal Frequency Response and Flicker Perception, Spatial
Frequency Response, Spatiotemporal Frequency Response,
Smooth Pursuit Eye Movement.
3. Video Sa m-
pling
3.1Basics of the Lattice Theory
08 3.2Sampling of Video Signals Over Lattic es : Required
Sampling Rates, Sampling Video in Two Dimensions,
Progressive versus Interlaced Scans, Sampling a Raster Scan:
BT.601 Format Revisited, Sampling Video in Three
Dimension, Spatial and Temporal Aliasing

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University of Mumbai M.E. (Signal Processing) Page 47

Module No. and
Title Detailed conten t Hours
3.3 Filtering Operations in Cameras and Display: Devices,
Camera Apertures. Display Apertures.
4. Video Sa m-
pling Rate
Conversion
4.1 Conversion of Signals Sampled on Different Lattices:
Up-Conversion, Down -Conversion, Conversion between
Arbitra ry Lattices, Filter Implementation and Design, and
other Interpolation Approaches. 08
4.2 Sampling Rate Conversion of Video Signals: De-
interlacing, Conversion between PAL and NTSC Signals,
Motion -Adaptive Interpolation.
5. Two-
Dimensional
Motion Est i-
mation
5.1. Optical Flow: Two-Dimensional Motion versus Optical
Flow, Optical Flow Equation and Ambiguity in Motion
Estimation.
10 5.2. General Methodologies: Motion Representation. Motion
Estimation Criteria. Optimization Methods.
5.3. Pixel -Based Motion Estimation: Regularization Using
the Motion Smoothness Constraints, Using a Multipoint
Neighborhood, Pel -Recursive Methods.
5.4. Block -Matching Algorithm : The Exhaustive Block -
Matching Algorithm, Fractional Accuracy Search, Fast
Algorithm, Impos ing Motion Smoothness Constraints, Phase
Correlation Method, Binary Feature Matching
5.5. Multi -resolution Motion Estimation: General
Formulation, Hierarchical Block Matching Algorithm.
6. Waveform -
Based Video
Coding
6.1. Block -Based Transform Coding. : Overview, One -
Dimensional Unitary Transform, Two -Dimensional Unitary
Transform, The Discrete Cosine Transform, Bit Allocation and
Transform Coding Gain, Optimal Transform Design and the
KLT, DCT -Based Image Coders and the JPEG Standard,
Vector Transform Coding.
08 6.2 Predictive Coding: Overview, Optimal Predictor Design
and Predictive Coding Gain, Spatial -Domain linear Prediction,
Motion -Compensated Temporal Prediction.
6.3Video Coding Using Temporal Prediction and
Transform Coding: Block -Based Hy brid Video Coding ,
Overlapped Block Motion Compensation, Coding Parameter
Selection, Rate Control, and Loop Filtering.
Total 48

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University of Mumbai M.E. (Signal Processing) Page 48

Recommended Books:
1. "Multimedia Communication Technology", J.R.Ohm, Springer Publication.
2. "Video Coding for Mobile C ommunications" David Bull et al, Academic Press.
3. "Handbook on Image and Video Processing", A.I.Bovik, Academic Press.
4. "Digital Video", Tekalp, Prentice Hall.
Reference Books:
1. “Video Processing and Communications” Yao Wang, JornOstermann, Ya -Qin Zhang, Prentice Hall,
2002
2. “The Essential Guide to Video Processing” Alan C. Bovik, , Elsevier Science, edition 2, 2009
3. “Digital Video Processing” A. Murat Tekalp, Prentice Hall, edition 1, 1996
Assessment:
Internal: Assessment consists of two te sts out of which; one should be compulsory class
test (covering two modules) and the other is either a class test (2 modules from
remaining syllabus) or assignment on live problems or course project.
End Semester: Some guidelines for setting the question p apers are as, six questions to be
Examination set each of 20 marks, out of these, question number 1 will be compulsory and it
will carry questions covering each module. From remaining questions any three
questions to be attempted by students. Mi nimum 80% syllabus should be
covered in question papers of end semester examination.

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University of Mumbai M.E. (Signal Processing) Page 49

Subject Code Subject Name Credits
SPDLO2021 Wavelet Transform and Applications 04

Course Pre -requisite:
 Digital Signal Processing, Detection and Estimation Theo ry.
Course Objectives:
 To enable the student to understand the basics of wavelet transform, multi resolution analysis,
continuous and discrete time wavelet transform.
Course Outcomes: Learner will able to
 At the end of this course the students are able t o use the wavelet methods for compression of
signals and image de -noising.


Module No. and Title Detailed content Hours
1. Fundamentals Vector Spaces – Properties – Dot Product – Basis –
Dimension, Orthogonality and Orthonormality –
Relationship Between Vect ors and Signals – Signal
Spaces – Concept of Convergence – Hilbert Spaces for
Energy Signals - Fourier Theory: Fourier series expansion,
Fourier transform, Short time Fourier transform, Time -
frequency analysis. 07
2. Multi Resolution
Analysis Definition of M ulti Resolution Analysis (MRA) – Haar
Basis – Construction of General Orthonormal MRA –
Wavelet Basis for MRA – Continuous Time MRA
Interpretation for the DTWT – Discrete Time MRA –
Basis Functions for the DTWT – PRQMF Filter Banks. 11
3. Continuous Wav e-
let Transforms Wavelet Transform – Definition and Properties – Concept
of Scale and its Relation with Frequency – Continuous
Wavelet Transform (CWT) – Scaling Function and
Wavelet Functions (Daubechies Coiflet, Mexican Hat,
Sinc, Gaussian, Bi Orthogonal) – Tiling of Time – Scale
Plane for CWT. 10

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University of Mumbai M.E. (Signal Processing) Page 50
4. Discrete Wavelet
Transform Filter Bank and Sub Band Coding Principles – Wavelet
Filters – Inverse DWT Computation by Filter Banks –
Basic Properties of Filter Coefficients – Choice of
Wavelet Function Coefficients – Derivations of
Daubechies Wavelets – Mallat's Algorithm for DWT –
MultiBand Wavelet Transforms Lifting Scheme - Wavelet
Transform Using Polyphase Matrix Factorization –
Geometrical Foundations of Lifting Scheme – Lifting
Scheme in Z – Domain. 11
5. Application s Wavelet methods for signal processing - Image
Compression Techniques: EZW –SPHIT Coding – Image
Denoising Techniques: Noise Estimation – Shrinkage
Rules – Shrinkage Functions – Edge Detection and Object
Isolation, Image Fusion, and Object Detection. 09
Total 48
Textbooks:
3. Rao R M and A S Bopardikar, ―Wavelet Transforms Introduction to theory and Applications,
Pearson Education, Asia, 2000.
4. L.Prasad & S.S.Iyengar, Wavelet Analysis with Applications to Image Processing, CRC Press,
1997.
References:
1. J. C. G oswami and A. K. Chan, “Fundamentals of wavelets: Theory, Algorithms and Applic a-
tions" Wiley Interscience Publication, John Wiley & Sons Inc., 1999.
2. M. Vetterli, J. Kovacevic, “Wavelets and subband coding" Prentice Hall Inc, 1995.
3. Stephen G. Mallat, “A wav elet tour of signal processing" 2 nd Edition Academic Press, 2000.
4. Soman K P and Ramachand ran K I, ―Insight into Wavelets From Theory to practice, Prentice
Hall, 2004.
Assessment:
Internal: Assessment consists of two tests out of which; one should be compulsory class
test (covering two modules) and the other is either a class test (two modules from
remaining syllabus) or assignment on live problems or course project.
End Semester: Some guidelines for setting the question papers are as, six questions to be
Examination set each of 20 marks, out of these, question number 1 will be comp ulsory and it
will carry questions covering each module. From remaining questions any three
questions to be attempted by students. Minimum 80% syllabus should be
covered in question papers of end semester examination.

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University of Mumbai M.E. (Signal Processing) Page 51

Subject Code Subject Name Credits
SPDLO2022 Biomedical Signal Processing 04

Course Pre -requisite:
 Digital Signal Processing, Random Signal Processing, Basics of Biomedical Engineering
Course Objectives:
 To enable the student to understand the basic biomedical signals and its processing s uch as a v-
eraging, polishing.

Course Outcomes: Learner will able to
 At the end of this course the students are able to process the cardiological and neurological signal
and to remove the noise from those signals.

Module No. and Title Detailed content Hours
1.Introduction
Cell structure, basic cell function, origin of bio -potentials,
and electric activity of cells. 06
2.Biotransducers
Physiological parameters and suitable transducers for its
measurements, operating principles and specifications for
the transducers to measure parameters like blood flow,
blood pressure, electrode sensor, temperature,
displacement transducers. Cardiovascular system: Heart
structure, cardiac cycle, ECG (electrocardiogram) theory
(B.D.), PCG (phonocardiogram).EEG, X -Ray,
Sonography, CT -Scan, The nature of biomedical signals. 09
3.Different sources of
noise Noise removal and signal compensation. Software based
medical signal detection and pattern recognition. 07
4.Cardiological Signal
Processing
Pre-processing. QRS De tection Methods. Rhythm
analysis. Arrhythmia Detection Algorithms. Automated
ECG Analysis.ECG Pattern Recognition. Heart rate
variability analysis. Adaptive Noise Cancelling: Principles
of Adaptive Noise Cancelling. Adaptive Noise Cancelling
with the LMS A daptation Algorithm.
Noise Cancelling Method to Enhance ECG Monitoring.
Fetal ECG Monitoring. 09
5.Signal averaging and
polishing
Mean and trend removal, Prony’s method, Prony's Method
based on the Least Squares Estimate, Linear
prediction.Yule – walk er (Y –W) equations, Analysis of
Evoked Potentials. 09
6. Neurological signal
processing Modeling of EEG Signals. Detection of spikes and
spindles Detection of Alpha, Beta and Gamma Waves.
Auto Regressive (A.R.) modeling of seizure EEG. Sleep 08

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University of Mumbai M.E. (Signal Processing) Page 52

Stage an alysis. Inverse Filtering. Least squares and
polynomial modeling.

Total 48


Textbooks:
1. “Simulation of Communication Systems, Modeling, M ethodology and Techniques”, M.C
Jeruchim, P.Balaban, K.S. Shanmugan, Cluwer Academic Publishers, 2nd Edition 2002, ISBN0 -306-
46267 -2.
2. Biomedical Signal Processing - Principles and Techniques - D.C.Reddy, 2005,TMH.

Reference books:
1. Digital Bio signal Processing - Weitkunat R, 1991, Elsevier.
2. Biomedical Signal Processing - Akay M, IEEE Press.
3. Biomedical Signal P rocessing -Vol. I Time & Frequency Analysis - Cohen.A, 1986, CRC Press .

Assessment:
Internal: Assessment consists of two tests out of which; one should be compulsory class
test (covering two modules) and the other is either a class test (two modules from
remaining syllabus) or assignment on live problems or course project.
End Semester: Some guidelines for setting the question papers are as, six questions to be
Examination set each of 20 marks, out of these, question number 1 will be compulsory and it
will carry questions covering each module. From remaining questions any three
questions to be attempted by students. Minimum 80% syllabus should be
covered in question papers of end semester examination.

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University of Mumbai M.E. (Signal Processing) Page 53

Subject Code Subject Name Credits
SPDLO2023 DSP System Design 04
Course Pre -requisite:
 Digital signal Processing basics
Course Objectives:
 To enable the students to understand the basic working of Texas DSP Processors, their archite c-
tures and applications.
 To enable the students to unders tand the Digital signal processing Applications and current
trends in DSP controller.
Course Outcomes: Learner will able to
 Understand the working of Texas DSP Processors
 Design FIR, IIR, FFT and DTMF digital Filter Design.
 Current trend in Digital Signal Processor

Module No. and Title Detailed content Hours
1. Introduction to a
popular DSP from
Texas Instruments CPU Architecture - CPU Data Paths and Control - Timers
- Internal Data/Program
Memory - External Memory Interface - Programming -
Instructions Set and Addressing Modes - Code Composer
Studio - Code Generation
Tools - Code Composer Studio Debug tools – Simulator 08
2. Analysis of finite
word length effect
in fixed -point DSP
systems Introduction, DSP arithmetic, ADC quantization noise &
signal quality, Finite word length effects in IIR & FIR
digital filters,Karhunen -Loève transform. Introduction to
linear prediction, band pass samplin g. 08
3. Sharc Digital Si g-
nal Processing A popular DSP from Analog Devices - Sharc/ Tiger Sharc/
Blackfin (one of them) - Architecture – IOPRegisters -
Peripherals - Synchronous Serial Port - Interrupts -
Internal/External/Multiprocessor Memory Space -
Multiprocessing –HostInterface - Link Ports. 10

4. Digital Signal Pro-
cessing Applic a-
tions FIR and IIR Digital Filter Design, Fil ter Design Programs
- Fourier Transform: DFT,FFT programs - Real Time
Implementation : Implementation of Real Time Digital
Filters using DSP - Implementation of FFTApplications
using DSP – DTMF Tone Generation and Detection 10
5. Adaptive filters MSE Approa ch and LMS Approach and its 06

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University of Mumbai M.E. (Signal Processing) Page 54
implementation
6. Current Trends Current trend in Digital Signal Processor or DSP
Controller - Architecture and their applications. 06
Total 48

Reference Books :
5. NaimDahnoun, “ Digital Signal Processing Implementation using the TMS320C6000 DSP Pla t-
form ”, 1st Edition.
6. T.J. Terrel and Lik -Kwan Shark, “Digital Signal Processing - A Student Guide ”,1st Edition;
Macmillan Press Ltd.
7. David J Defatta J, Lucas Joseph G &Hodkiss William S, “Digital Signal Processing: A System
Design App roach” , 1st Edition, JohnWiley
8. RulfChassaing, “Digital Signal Processing and Application with C6713 and C6416 DSK” ,
Wiley-Interscience Publication
9. Steven K Smith, Newnes, “Digital Signal Processing -A Practical Guide for Engineers and Sci-
entists” , Elsevier Science
10. RulphChassaing, “DSP Applications using 'C' and the TMS320C6X DSK” , 1st EditionAndrew
Bateman, Warren Yates, “DigitalSignal Processing Design” , 1st Edition
11. John G Proakis, Dimitris G Manolakis, “Introduction to Digital Signal Processing” , 2nd Ed.
12. KreigMarven& Gillian Ewers, “A Simple approach to Digital Signal processing” , 1st Edition,
WielyInterscience
13. James H. McClellan, Ronald, Schaffer and Mark A. Yoder, “DSP FIRST” - A Multimedia App

Assessment:
Internal: Assessment consists of two tests out o f which; one should be compulsory class
test (covering two modules) and the other is either a class test (two modules from
remaining syllabus) or assignment on live problems or course project.
End Semester: Some guidelines for setting the question papers a re as, six questions to be
Examination set each of 20 marks, out of these, question number 1 will be compulsory and it
will carry questions covering each module. From remaining questions any three
questions to be attempted by students. Minimum 8 0% syllabus should be
covered in question papers of end semester examination.

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University of Mumbai M.E. (Signal Processing) Page 55

Subject Code Subject Name Credits
SPDLO2024 Wireless Network 04

Course Pre -requisite:
 Random Signal Analysis, Wireless Communication
Course Objectives:
 To introduce the c oncepts of wireless communication and to make the students to know about
the various propagation methods, Channel models, capacity calculations multiple antennas and
multiple user techniques used in the mobile communication. To enhance the understanding of
WiFi, 3G systems and 4G networks.
Course Outcomes: Learner will able to
 The students understand the state of art techniques in wireless communication. Students are en-
riched with the knowledge of present day technologies to enable them to face the world a nd
contribute back as researchers.
Module No. and Title Detailed content Hours
6. Wireless Channel
Propagation And
Model Propagation of EM signals in wireless channel –
Reflection, diffraction and Scattering -Small scale fading -
channel classification - channe l models – COST -231 Hata
model, Longley -Rice Model, NLOS Multipath Fading
Models: Rayleigh, Rician, Nakagami, Composite Fading –
shadowing Distributions, Link power budget Analysis. 10
7. Diversity Capacity of flat and frequency selective fading channels -
Realization of independent fading paths, Receiver
Diversity: selection combining, Threshold Combining,
Maximum -ratio Combining, Equal gain Combining.
Transmitter Diversity: Channel known at transmitter,
channel unknown at the transmitter. 10
8. MIMO Commun i-
cations Narrowband MIMO model, Parallel decomposition of the
MIMO channel, MIMO channel capacity, MIMO
Diversity Gain: Beamforming, Diversity -Multiplexing
trade -offs, Space time Modulation and coding:
STBC,STTC, Spacial Multiplexing and BLAST
Architectures. 09

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University of Mumbai M.E. (Signal Processing) Page 56

Module No. and Title Detailed content Hours
9. Multi User Systems Multiple Access : FDMA,TDMA, CDMA,SDMA, Hybrid
techniques, Random Access: ALOHA, SALOHA, CSMA,
Scheduling, power control, uplink downlink channel
capacity, multiuser diversity, MIMO -MU sy stems. 10
10. Wireless Networks 3G Overview, Migration path to UMTS, UMTS Basics,
Air Interface, 3GPP Network Architecture, 4G features
and challenges, Technology path, IMS Architecture -
Introduction to wireless LANs - IEEE 802.11 WLANs -
Physical Layer - MAC sublayer. 09
Total 48

Textbooks:
14. Andrea Goldsmith, Wireless Communications, Cambridge University Press, 2007.
15. HARRY R. ANDERSON, “Fixed Broadband Wireless System Design” John Wiley – India,
2003.
16. Andreas.F. Molisch, “Wireless Communications”, John Wile y – India, 2006.
Simon Haykin & Michael Moher, “Modern Wireless Communications”, Pearson Education,
2007
17. Rappaport. T.S., “Wireless communications”, Pearson Education, 2003 .
References:
1. Clint Smith. P.E., and Daniel Collins, “3G Wireless Networks”, 2nd Edi tion, Tata McGraw
Hill, 2007.
2. Vijay. K. Garg, “Wireless Communication and Networking”, Morgan Kaufmann Publishers,
http://books.elsevier.com/9780123735805, 2007.
3. Kaveth Pahlavan, K. Prashanth Krishnamuorthy, "Principles of Wireless Networks", Prentice
Hall of India, 2006.
4. William Stallings, "Wireless Communications and networks" Pearson / Prentice Hall of India,
2nd Ed., 2007.
5. Sumit Kasera and Nishit Narang, “3G Networks – Architecture, Protocols and Procedures”, T a-
ta McGraw Hill, 2007.




Assessment:
Internal: Assessment consists of two tests out of which; one should be compulsory class
test (covering two modules) and the other is either a class test (two modules from
remaining syllabus) or assignment on live problems or course project.
End Semester: Some guidelines for setting the question papers are as, six questions to be

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University of Mumbai M.E. (Signal Processing) Page 57
Examination set each of 20 marks, out of these, question number 1 will be compulsory and it
will carry questions covering each module. From remaining questions any three
questions to be attempted by students. Minimum 80% syllabus should be
covered in question papers of end semester examination.

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University of Mumbai M.E. (Signal Processing) Page 58

Course Code Course Name Credits
ILO2021 Project Management 03

Objectives :
1. To familiarize the students with the use of a structured methodology/approach for each and every unique
project undertaken, including utilizing project management concepts, tools and techniques.
2. To appraise the students with the project management life cycle and make them knowledgeable about
the vario us phases from project initiation through closure.

Outcomes: Learner will be able to…
1. Apply selection criteria and select an appropriate project from different options.
2. Write work break down structure for a project and develop a schedule based on it.
3. Identify opportunities and threats to the project and decide an approach to deal with them
strategically.
4. Use Earned value technique and determine & predict status of the project.
5. Capture lessons learned during project phases and document them for future refer ence

Module Detailed Contents Hrs
01 Project Management Foundation:
Definition of a project, Project Vs Operations, Necessity of project management,
Triple constraints, Project life cycles (typical & atypical) Project phases and
stage gate process. Role of project manager. Negotiations and resolving
conflicts. Project management in various organization structures. PM knowledge
areas as per Project Management Institute (PMI). 5
02 Initiating Projects:
How to get a project started, Selecting project strate gically, 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 (forming, storming, norming &
performing), team dynamics. 6
03 Project Planning and Scheduling:
Work Breakdown structure (WBS) and linear responsibility chart, Interface
Co-ordination and concurrent engineering, Project cost estimation and
budgeting, Top down and bottoms up budge ting, Networking and Scheduling
techniques. PERT, CPM, GANTT chart. Introduction to Project Management
Information System (PMIS). 8
04 Planning Projects:
Crashing project time, Resource loading and leveling, Goldratt's critical chain,
Project Stakeholder s and Communication plan.
Risk Management in projects: Risk management planning, Risk identification
and risk register. Qualitative and quantitative risk assessment, Probability and
impact matrix. Risk response strategies for positive and negative risks 6

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05 5.1 Executing Projects:
Planning monitoring and controlling cycle. Information needs and reporting,
engaging with all stakeholders of the projects.
Team management, communication and project meetings.
5.2 Monitoring and Controlling Projects:
Earned Value Management techniques for measuring value of work completed;
Using milestones for measurement; change requests and scope creep. Project
audit.
5.3 Project Contracting
Project procurement management, contracting and outsourcing, 8
06 6.1 Project Le adership and Ethics:
Introduction to project leadership, ethics in projects.
Multicultural and virtual projects.
6.2 Closing the Project:
Customer acceptance; Reasons of project termination, Various types of project
terminations (Extinction, Addition, I ntegration, Starvation), Process of project
termination, completing a final report; doing a lessons learned analysis;
acknowledging successes and failures; Project management templates and other
resources; Managing without authority; Areas of further stu dy. 6

Assessment :

Internal:
Assessment consists of two tests out of which; one should be compulsory class test and the other is
either a class test or assignment on live problems or course project.

End Semester Theory Examination:
Some guidelines f or setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will be
proportional to number of respective lecture hours as mention in the syllabus.
1. Quest ion paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four question need to be so lved.


REFERENCES:
1. Jack Meredith & Samuel Mantel, Project Management: A managerial approach, Wiley India, 7thEd.
2. A Guide to the Project Management Body of Knowledge (PMBOK® Guide), 5th Ed, Project Manag e-
ment Institute PA, USA
3. Gido Clements , Project Manage ment, Cengage Learning.
4. Gopalan , Project Management, , Wiley India
5. Dennis Lock, Project Management, Gower Publishing England, 9 th Ed.

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University of Mumbai M.E. (Signal Processing) Page 60

Course Code Course Name Credits
ILO2022 Finance Management 03

Objectives :
1. Overview of Indian financial system, i nstruments and market
2. Basic concepts of value of money, returns and risks, corporate finance, working capital and its manag e-
ment
3. Knowledge about sources of finance, capital structure, dividend policy
Outcomes: Learner will be able to…
1. Understand Indian fin ance system and corporate finance
2. Take investment, finance as well as dividend decisions

Module Detailed Contents Hrs
01 Overview of Indian Financial System: Characteristics, Components and
Functions of Financial System.
Financial Instruments: Meaning, C haracteristics and Classification of Basic
Financial Instruments — Equity Shares, Preference Shares, Bonds -Debentures,
Certificates of Deposit, and Treasury Bills.
Financial Markets: Meaning, Characteristics and Classification of Financial
Markets — Capita l Market, Money Market and Foreign Currency Market
Financial Institutions: Meaning, Characteristics and Classification of Financial
Institutions — Commercial Banks, Investment -Merchant Banks and Stock
Exchanges 06
02 Concepts of Returns and Risks: Measure ment of Historical Returns and
Expected Returns of a Single Security and a Two -security Portfolio;
Measurement of Historical Risk and Expected Risk of a Single Security and a
Two-security Portfolio.
Time Value of Money: Future Value of a Lump Sum, Ordinary Annuity, and
Annuity Due; Present Value of a Lump Sum, Ordinary Annuity, and Annuity
Due; Continuous Compounding and Continuous Discounting. 06
03 Overview of Corporate Finance: Objectives of Corporate Finance; Functions
of Corporate Finance —Investment D ecision, Financing Decision, and Dividend
Decision.
Financial Ratio Analysis: Overview of Financial Statements —Balance Sheet,
Profit and Loss Account, and Cash Flow Statement; Purpose of Financial Ratio
Analysis; Liquidity Ratios; Efficiency or Activity Ra tios; Profitability Ratios;
Capital Structure Ratios; Stock Market Ratios; Limitations of Ratio Analysis. 09
04 Capital Budgeting: Meaning and Importance of Capital Budgeting; Inputs for
Capital Budgeting Decisions; Investment Appraisal Criterion —Accounti ng Rate
of Return, Payback Period, Discounted Payback Period, Net Present
Value(NPV), Profitability Index, Internal Rate of Return (IRR), and Modified
Internal Rate of Return (MIRR)
Working Capital Management: Concepts of Meaning Working Capital;
Importanc e of Working Capital Management; Factors Affecting an Entity’s
Working Capital Needs; Estimation of Working Capital Requirements; 10

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University of Mumbai M.E. (Signal Processing) Page 61
Management of Inventories; Management of Receivables; and Management of
Cash and Marketable Securities.
05 Sources of Fina nce: Long Term Sources —Equity, Debt, and Hybrids;
Mezzanine Finance; Sources of Short Term Finance —Trade Credit, Bank
Finance, Commercial Paper; Project Finance.
Capital Structure: Factors Affecting an Entity’s Capital Structure; Overview of
Capital Struct ure Theories and Approaches — Net Income Approach, Net
Operating Income Approach; Traditional Approach, and Modigliani -Miller
Approach. Relation between Capital Structure and Corporate Value; Concept of
Optimal Capital Structure 05
06 Dividend Policy: Mean ing and Importance of Dividend Policy; Factors
Affecting an Entity’s Dividend Decision; Overview of Dividend Policy Theories
and Approaches —Gordon’s Approach, Walter’s Approach, and Modigliani -
Miller Approach 03

Assessment :

Internal:
Assessment consis ts of two tests out of which; one should be compulsory class test and the other is
either a class test or assignment on live problems or course project.

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syll abus should be covered in
question papers of end semester examination. In question paper weightage of each module will be
proportional to number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four question need to be solved.



REFERENCES:
1. Fundamentals of Financial Man agement, 13th Edition (2015) by Eugene F. Brigham and Joel F. Ho u-
ston; Publisher: Cengage Publications, New Delhi.
2. Analysis for Financial Management, 10th Edition (2013) by Robert C. Higgins; Publishers: McGraw Hill
Education, New Delhi.
3. Indian Financial S ystem, 9th Edition (2015) by M. Y. Khan; Publisher: McGraw Hill Education, New
Delhi.
4. Financial Management, 11th Edition (2015) by I. M. Pandey; Publisher: S. Chand (G/L) & Company
Limited, New Delhi.

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University of Mumbai M.E. (Signal Processing) Page 62

Course Code Course Name Credits
ILO2023 Enterpren eurship Development and Management 03

Objectives :
1. To acquaint with entrepreneurship and management of business
2. Understand Indian environment for entrepreneurship
3. Idea of EDP, MSME
Outcomes: Learner will be able to…
1. Understand the concept of business p lan and ownerships
2. Interpret key regulations and legal aspects of entrepreneurship in India
3. Understand government policies for entrepreneurs

Module Detailed Contents Hrs
01 Overview Of Entrepreneurship: Definitions, Roles and Functions/Values of
Entrepr eneurship, History of Entrepreneurship Development, Role of
Entrepreneurship in the National Economy, Functions of an Entrepreneur,
Entrepreneurship and Forms of Business Ownership
Role of Money and Capital Markets in Entrepreneurial Development:
Contribut ion of Government Agencies in Sourcing information for
Entrepreneurship 04
02 Business Plans And Importance Of Capital To Entrepreneurship:
Preliminary and Marketing Plans, Management and Personnel, Start -up Costs
and Financing as well as Projected Financ ial Statements, Legal Section,
Insurance, Suppliers and Risks, Assumptions and Conclusion, Capital and its
Importance to the Entrepreneur
Entrepreneurship And Business Development: Starting a New Business,
Buying an Existing Business, New Product Developm ent, Business Growth and
the Entrepreneur Law and its Relevance to Business Operations 09
03 Women’s Entrepreneurship Development, Social entrepreneurship -role and need,
EDP cell, role of sustainability and sustainable development for SMEs, case
studies, exercises 05
04 Indian Environment for Entrepreneurship: key regulations and legal aspects ,
MSMED Act 2006 and its implications, schemes and policies of the Ministry of
MSME, role and responsibilities of various government organisations,
departments, ban ks 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 08
05 Effective Management of Busi ness: Issues and problems faced by micro and
small enterprises and effective management of M and S enterprises (risk
management, credit availability, technology innovation, supply chain
management, linkage with large industries), exercises, e -Marketing 08

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University of Mumbai M.E. (Signal Processing) Page 63

06 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 05
Assessment :

Internal:
Asses sment consists of two tests out of which; one should be compulsory class test and the other is
either a class test or assignment on live problems or course project.

End Semester Theory Examination:
Some guidelines for setting up the question paper. Mini mum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will be
proportional to number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six q uestion
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four question need to be solved.



REFERENCES:
1. Poornima Charanti math, Entrepreneurship development - Small Business Enterprise, Pearson
2. Education Robert D Hisrich, Michael P Peters, Dean A Shapherd, Entrepreneurship, latest edition, The
McGrawHill Company
3. Dr TN Chhabra, Entrepreneurship Development, Sun India Publicatio ns, New Delhi
4. Dr CN Prasad, Small and Medium Enterprises in Global Perspective, New century Publications, New
Delhi
5. Vasant Desai, Entrepreneurial development and management, Himalaya Publishing House
6. Maddhurima Lall, Shikah Sahai, Entrepreneurship, Excel Books
7. Rashmi Bansal, STAY hungry STAY foolish, CIIE, IIM Ahmedabad
8. Law and Practice relating to Micro, Small and Medium enterprises, Taxmann Publication Ltd.
9. Kurakto, Entrepreneurship - Principles and Practices, Thomson Publication
10. Laghu Udyog Samachar
11. www.msme.gov.in
12. www.dcmesme.gov.in
13. www.msmetraining.gov.in

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University of Mumbai M.E. (Signal Processing) Page 64

Course Code Course Name Credits
ILO2024 Human Resource Management 03
Objectives :
1. To introduce the students with basic concepts, techniques and practices of the human resource manag e-
ment .
2. To provide opportunity of learning Human resource management (HRM) processes, related with the
functions, and challenges in the emerging perspective of today’s organizations.
3. To familiarize the students about the latest developments, trends & different a spects of HRM.
4. To acquaint the student with the importance of inter -personal & inter -group behavioral skills in an or-
ganizational setting required for future stable engineers, leaders and managers.

Outcomes: Learner will be able to…
1. Understand the concept s, aspects, techniques and practices of the human resource management.
2. Understand the Human resource management (HRM) processes, functions, changes and challenges in
today’s emerging organizational perspective.
3. Gain knowledge about the latest developments and trends in HRM.
4. Apply the knowledge of behavioral skills learnt and integrate it with in inter personal and intergroup e n-
vironment emerging as future stable engineers and managers.

Module Detailed Contents Hrs
01 Introduction to HR
 Human Resource Mana gement - Concept, Scope and Importance, Interdiscipl i-
nary Approach Relationship with other Sciences, Competencies of HR Mana g-
er, HRM functions.
 Human resource development (HRD): changing role of HRM – Human r e-
source Planning, Technological change, Restructu ring and rightsizing, Emp ow-
erment, TQM, Managing ethical issues. 5
02 Organizational Behavior (OB)
 Introduction to OB Origin, Nature and Scope of Organizational Behavior, R ele-
vance to Organizational Effectiveness and Contemporary issues
 Personality: Mea ning and Determinants of Personality, Personality develo p-
ment, Personality Types, Assessment of Personality Traits for Increasing Self
Awareness
 Perception: Attitude and Value, Effect of perception on Individual Decision -
making, Attitude and Behavior.
 Motivation: Theories of Motivation and their Applications for Behavioral
Change (Maslow, Herzberg, McGregor);
 Group Behavior and Group Dynamics: Work groups formal and informal
groups and stages of group development. Team Effectiveness: High performing
team s, Team Roles, cross functional and self -directed team.
 Case study 7

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03 Organizational Structure &Design
 Structure, size, technology, Environment of organization; Organizational Roles
& conflicts: Concept of roles; role dynamics; role conflicts and str ess.
 Leadership: Concepts and skills of leadership, Leadership and managerial roles,
Leadership styles and contemporary issues in leadership.
 Power and Politics: Sources and uses of power; Politics at workplace, Tactics
and strategies. 6
04 Human resourc e Planning
 Recruitment and Selection process, Job -enrichment, Empowerment - Job-
Satisfaction, employee morale.
 Performance Appraisal Systems: Traditional & modern methods, Performance
Counseling, Career Planning.
 Training & Development: Identification of Training Needs, Training Methods 5
05 Emerging Trends in HR
 Organizational development; Business Process Re -engineering (BPR), BPR as a
tool for organizational development , managing processes & transformation in
HR. Organizational Change, Culture, Enviro nment
 Cross Cultural Leadership and Decision Making : Cross Cultural Communic a-
tion and d iversity at work , Causes of diversity, managing diversity with special
reference to handicapped, women and ageing people, intra company cultural
difference in employee motivation. 6
06 HR & MIS
Need, purpose, objective and role of information system in HR, Applications in
HRD in various industries (e.g. manufacturing R&D, Public Transport,
Hospitals, Hotels and service industries
Strategic HRM
Role of Strategic HRM in t he modern business world, Concept of Strategy,
Strategic Management Process, Approaches to Strategic Decision Making;
Strategic Intent – Corporate Mission, Vision, Objectives and Goals
Labor Laws & Industrial Relations
Evolution of IR, IR issues in organ izations, Overview of Labor Laws in India;
Industrial Disputes Act, Trade Unions Act, Shops and Establishments Act 10

Assessment :

Internal:
Assessment consists of two tests out of which; one should be compulsory class test and the other is
either a cl ass test or assignment on live problems or course project.

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University of Mumbai M.E. (Signal Processing) Page 66
End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weig htage of each module will be
proportional to number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has pa rt (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four question need to be solved.
REFERENCES:
1. Stephen Robbins, Organizational Behavior, 16th Ed, 2013
2. V S P Rao, Human Resource Management, 3rd Ed, 2010, Excel publishing
3. Aswathapa, Human resource management: Text & cases, 6th edition, 2011
4. C. B. Mamoria and S V Gankar, Dynamics of Industrial Relations in India, 15th Ed, 2015, Himalaya
Publishing, 15thedition, 2015
5. P. Subba Rao, Essentials of Human Resource management and Industrial relations, 5th Ed, 2013, Him a-
laya Publishing
6. Laurie Mullins, Management & Organizational Behavior, Latest Ed, 2016, Pearson Publications

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University of Mumbai M.E. (Signal Processing) Page 67

Course Code Course Name Credits
ILO2025 Professional Ethics and Corporat Social Responsibil ity (CSR) 03

Objectives :
1. To understand professional ethics in business
2. To recognized corporate social responsibility
Outcomes: Learner will be able to…
1. Understand rights and duties of business
2. Distinguish different aspects of corporate social responsibil ity
3. Demonstrate professional ethics
4. Understand legal aspects of corporate social responsibility

Module Detailed Contents Hrs
01 Professional Ethics and Business: The Nature of Business Ethics; Ethical
Issues in Business; Moral Responsibility and Blame; Utilitarianism: Weighing
Social Costs and Benefits; Rights and Duties of Business 04
02 Professional Ethics in the Marketplace: Perfect Competition; Monopoly
Competition; Oligopolistic Competition; Oligopolies and Public Policy
Professional Ethics and the Environment: Dimensions of Pollution and
Resource Depletion; Ethics of Pollution Control; Ethics of Conserving
Depletable Resources 08
03 Professional Ethics of Consumer Protection: Markets and Consumer
Protection; Contract View of Business Firm’s Duties to Consumers; Due Care
Theory; Advertising Ethics; Consumer Privacy
Professional Ethics of Job Discrimination: Nature of Job Discrimination;
Extent of Discrimination; Reservation of Jobs. 06
04 Introduction to Corporate Social Responsibility: Potential B usiness
Benefits —Triple bottom line, Human resources, Risk management, Supplier
relations; Criticisms and concerns —Nature of business; Motives; Misdirection.
Trajectory of Corporate Social Responsibility in India 05
05 Corporate Social Responsibility: Articulation of Gandhian Trusteeship
Corporate Social Responsibility and Small and Medium Enterprises (SMEs) in India,
Corporate Social Responsibility and Public -Private Partnership (PPP) in India 08
06 Corporate Social Responsibility in Globalizing India: Corporate Social Responsibil-
ity Voluntary Guidelines, 2009 issued by the Ministry of Corporate Affairs, Govern-
ment of India, Legal Aspects of Corporate Social Responsibility —Companies Act,
2013. 08

Assessment :

Internal:
Assessment consists of two tests out of which; one should be compulsory class test and the other is
either a class test or assignment on live problems or course project.

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University of Mumbai M.E. (Signal Processing) Page 68

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will be
proportional to number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four question need to be solved.



REFERENCES:
1. Business Ethics: Texts and Cases from the In dian Perspective (2013) by Ananda Das Gupta;
Publisher: Springer.
2. Corporate Social Responsibility: Readings and Cases in a Global Context (2007) by Andrew
Crane, Dirk Matten, Laura Spence; Publisher: Routledge.
3. Business Ethics: Concepts and Cases, 7th Edit ion (2011) by Manuel G. Velasquez; Publisher:
Pearson, New Delhi.
4. Corporate Social Responsibility in India (2015) by BidyutChakrabarty, Routledge, New Delhi .

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Course Code Course Name Credits
ILO202 6 Research Methodology 03

Objectives:
1. To unders tand Research and Research Process
2. To acquaint students with identifying problems for research and develop research strategies
3. To familiarize students with the techniques of data collection, analysis of data and interpretation
Outcomes: Learner will be abl e to…
1. Prepare a preliminary research design for projects in their subject matter areas
2. Accurately collect, analyze and report data
3. Present complex data or situations clearly
4. Review and analyze research findings

Module Detailed Contents Hrs
01 Introduct ion 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 09
02 Types of Research
2.1. Basic Research
2.2. Applied Research
2.3. Descriptive Research
2.4. Analytical Research
2.5. Empirica l Research
2.6 Qualitative and Quantitative Approaches 07
03 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
Stages in Sample Design Sampli ng methods/techniques Sampling Errors 07
04 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 Litera ture
d. Formulation of Hypothesis
e. Formulation of research Design
f. Sample Design
g. Data Collection
h. Data Analysis 08

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University of Mumbai M.E. (Signal Processing) Page 70
i. Hypothesis testing and Interpretation of Data
j. Preparation of Research Report
05 Formulating Research Problem
5.1 Consideratio ns: Relevance, Interest, Data Availability, Choice of data,
Analysis of data, Generalization and Interpretation of analysis 04
06 Outcome of Research
6.1 Preparation of the report on conclusion reached
6.2 Validity Testing & Ethical Issues
6.3 Suggestions and Recommendation 04

Assessment :

Internal:
Assessment consists of two tests out of which; one should be compulsory class test and the other is
either a class test or at least 6 assignment on complete syllabus or course project.

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will be
proportional to number of respective lecture hours a s mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four question need to be solved.



REFERENCES:
1. Dawson, Catherine, 2002, Practical Research Methods, New Delhi, UBS Publishers Distribu-
tors.
2. Kothari, C.R.,1985, Research Methodology -Methods and Techniques, New Delhi, Wiley East-
ern Limited.
3. Kumar, Ranj it, 2005, Research Methodology -A Step -by-Step Guide for Beginners, (2nded), Sin-
gapore, Pearson Education

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University of Mumbai M.E. (Signal Processing) Page 71

Course Code Course Name Credits
ILO2027 IPR and Patenting 03

Objectives:
1. To understand intellectual property rights protection system
2. To pro mote the knowledge of Intellectual Property Laws of India as well as International treaty proc e-
dures
3. To get acquaintance with Patent search and patent filing procedure and applications
Outcomes: Learner will be able to…
1. understand Intellectual Property ass ets
2. assist individuals and organizations in capacity building
3. work for development, promotion, protection, compliance, and enforcement of Intellectual Property and
Patenting

Module Detailed Contents Hr
01 Introduction to Intellectual Property Rights (I PR): Meaning of IPR,
Different category of IPR instruments - Patents, Trademarks,Copyrights,
Industrial Designs, Plant variety protection, Geographical indications,Transfer of
technology etc.
Importance of IPR in Modern Global Economic Environment: Theor ies of
IPR, Philosophical aspects of IPR laws, Need for IPR, IPR as an instrument of
development 05
02 Enforcement of Intellectual Property Rights: Introduction, Magnitude of
problem, Factors that create and sustain counterfeiting/piracy, International
agreements, International organizations (e.g. WIPO, WTO) activein IPR
enforcement
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
03 Emerging Issues in IPR: Challenges for IP in digital economy, e -commerce,
human genome,biodiversity and traditional knowledge etc. 05
04 Basics of Patents: Definition of P atents, Conditions of patentability, Patentable
and non -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 n on-disclosures, Patent rights
and infringement, Method of getting a patent 07
05 Patent Rules: Indian patent act, European scenario, US scenario, Australia
scenario, Japan scenario, Chinese scenario, Multilateral treaties where India is a
member (TRIPS ag reement, Paris convention etc.) 08

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06 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 Publicationetc, T ime frame and
cost, Patent Licensing, Patent Infringement
Patent databases: Important websites, Searching international databases 07
Assessment :

Internal:
Assessment consists of two tests out of which; one should be compulsory class test and the other is
either a class test or at least 6 assignment on complete syllabus or course project.

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examina tion. In question paper weightage of each module will be
proportional to number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four question need to be solved.
REFERENCE BOOKS :
1. Rajkumar S. Adukia, 2007, A Handbook on Laws Relating to Intellectual Property Rights in Ind ia, The
Institute of Chartered Accountants of India
2. Keayla B K, Patent system and related issues at a glance, Published by National Working Group on P a-
tent Laws
3. T Sengupta, 2011, Intellectual Property Law in India, Kluwer Law International
4. Tzen Wong and Gr aham Dutfield, 2010, Intellectual Property and Human Development: Current Trends
and Future Scenario, Cambridge University Press
5. Cornish, William Rodolph & Llewelyn, David. 2010, Intellectual Property: Patents, Copyrights, Trade
Marks and Allied Right, 7th Edition, Sweet & Maxwell
6. Lous Harns, 2012, The enforcement of Intellactual Property Rights: A Case Book, 3rd Edition, WIPO
7. Prabhuddha Ganguli, 2012, Intellectual Property Rights, 1st Edition, TMH
8. R Radha Krishnan & S Balasubramanian, 2012, Intellectual Pr operty Rights, 1st Edition, Excel Books
9. M Ashok Kumar and mohd Iqbal Ali, 2 -11, Intellectual Property Rights, 2nd Edition, Serial Publications
10. Kompal Bansal and Praishit Bansal, 2012, Fundamentals of IPR for Engineers, 1st Edition, BS Public a-
tions
11. Entrepr eneurship Development and IPR Unit, BITS Pilani, 2007, A Manual on Intellectual Property
Rights,
12. Mathew Y Maa, 2009, Fundamentals of Patenting and Licensing for Scientists and Engineers, World
Scientific Publishing Company
13. N S Rathore, S M Mathur, Priti M athur, Anshul Rathi , IPR: Drafting,Interpretation of Patent Specific a-
tions and Claims , New India Publishing Agency
14. Vivien Irish, 2005, Intellectual Property Rights for Engineers,IET
15. Howard B Rockman, 2004, Intellectual Property Law for Engineers and scient ists, Wiley -IEEE Press

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Course Code Course Name Credits
ILO2028 Digital Business Management 03

Objectives:
1. To familiarize with digital business concept
2. To acquaint with E -commerce
3. To give insights into E -business and its strategies
Outcomes: The lear ner will be able to …..
1. Identify drivers of digital business
2. Illustrate various approaches and techniques for E -business and management
3. Prepare E -business plan

Module Detailed content Hours
1 Introduction to Digital Business -
Introduction, Background and current status, E -market places, structures,
mechanisms, economics and impacts
Difference between physical economy and digital economy,
Drivers of digital business - Big Data & Analytics, Mobile, Cloud
Computing, Social media, BYOD, and Internet of Things (digitally
intelligent machines/services)
Opportunities and Challenges in Digital Business, 09
2 Overview of E -Commerce
E-Commerce - Meaning, Retailing in e -commerce -products and services,
consumer behavior, market research and advertisement
B2B-E-commerce -selling and buying in private e -markets, public B2B
exchanges and support services, e -supply chains, Collaborative Commerce,
Intra business EC and Corporate portals
Other E -C models and applications, innovative EC System -From E -
government and learning to C2C, mobile commerce and pervasive
computing
EC Strategy and Implementation -EC strategy and global EC, Economics
and Justification of EC, Using Affiliate marketing to promote your e -
commerce business, Launching a successful online business and EC
project, Legal, Ethics and Societal impacts of EC 06
3 Digital Business Support services : ERP as e –business backbone,
knowledge Tope Apps, Information and referral system
Application Development: Building Digital business Applications and
Infrastructure 06
4 Managing E -Business -Managing Knowledge, Management skills for e -
business, Managing Risks in e –business
Security Threats to e -business -Security Overview, Electronic Commerce
Threats, Encryption, Cryptography, Public Key and Private Key
Cryptography, Digita l Signatures, Digital Certificates, Security Protocols
over Public Networks: HTTP, SSL, Firewall as Security Control, Public
Key Infrastructure (PKI) for Security, Prominent Cryptographic
Applications 06

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University of Mumbai M.E. (Signal Processing) Page 74
5 E-Business Strategy -E-business Strategic formulat ion- Analysis of
Company’s Internal and external environment, Selection of strategy,
E-business strategy into Action, challenges and E -Transition
(Process of Digital Transformation) 04
6 Materializing e -business: From Idea to Realization -Business plan pr eparation
Case Studies and presentations 08

Assessment :

Internal:
Assessment consists of two tests out of which; one should be compulsory class test and the other is
either a class test or at least 6 assignment on complete syllabus or course project.

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will be
proportional to number of respe ctive lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four question need to be solved.

References:

1. A textbook on E -commerce , Er Arunrajan Mishra, Dr W K Sarwade,Neha Publishers & Distributors,
2011
2. E-commerce from vision to fulfilment, Elias M. Awad, PHI-Restricted, 2002
3. Digital Bu siness and E -Commerce Management, 6th Ed, Dave Chaffey, Pearson, August 2014
4. Introduction to E -business -Management and Strategy, Colin Combe, ELSVIER, 2006
5. Digital Business Concepts and Strategy, Eloise Coupey, 2nd Edition, Pearson
6. Trend and Challenges in Digital Business Innovation, VinocenzoMorabito, Springer
7. Digital Business Discourse Erika Darics, April 2015, Palgrave Macmillan
8. E-Governance -Challenges and Opportunities in : Proceedings in 2nd International Conference theory and
practice of Electronic Go vernance
9. Perspectives the Digital Enterprise –A framework for Transformation, TCS consulting journal Vol.5
10. Measuring Digital Economy -A new perspective -DOI: 10.1787/9789264221796 -enOECD Publishing

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Course Code Course Name Credits
ILO2029 Environmental Management 03

Objectives :
1. Understand and identify environmental issues relevant to India and global concerns
2. Learn concepts of ecology
3. Familiarise env ironment related legislations
Outcomes: Learner will be able to…
1. Understand the concept of environmental management
2. Understand ecosystem and interdependence, food chain etc.
3. Understand and interpret environment related legislations

Module Detailed Conten ts Hrs
01 Introduction and Definition of Environment: Significance of Environment
Management for contemporary managers, Career opportunities.
Environmental issues relevant to India, Sustainable Development, The Energy
scenario. 10
02 Global Environmental concerns : Global Warming, Acid Rain, Ozone
Depletion, Hazardous Wastes, Endangered life -species, Loss of Biodiversity,
Industrial/Man -made disasters, Atomic/Biomedical hazards, etc. 06
03 Concepts of Ecology: Ecosystems and interdependence between liv ing
organisms, habitats, limiting factors, carrying capacity, food chain, etc. 05
04 Scope of Environment Management, Role & functions of Government as a
planning and regulating agency.
Environment Quality Management and Corporate Environmental Responsibi lity 10
05 Total Quality Environmental Management, ISO -14000, EMS certification. 05
06 General overview of major legislations like Environment Protection Act, Air (P
& CP) Act, Water (P & CP) Act, Wildlife Protection Act, Forest Act, Factories
Act, etc. 03

Assessment :
Internal:
Assessment consists of two tests out of which; one should be compulsory class test and the other is
either a class test or assignment on live problems or course project.

End Semester Theory Examination:
Some guidelines for s etting up the question paper. Minimum 80% syllabus should be covered in
question papers of end semester examination. In question paper weightage of each module will be
proportional to number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then
part (b) will be from any module other than module 3)
4. Only Four question need to be solved .

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University of Mumbai M.E. (Signal Processing) Page 76
REFERENCES:
1. Environmental Management: Principles and Practice, C J Barrow, Routledge Publishers London, 1999
2. A Handbook of Environmental Management Edited by Jon C. Lovett and David G. Ockwell , Edward
Elgar Publishing
3. Environmental Management, T V Ramacha ndra and Vijay Kulkarni, TERI Press
4. Indian Standard Environmental Management Systems — Requirements With Guidance For Use, Bureau
Of Indian Standards, February 2005
5. Environmental Management: An Indian Perspective, S N Chary and Vinod Vyasulu, Maclillan Ind ia,
2000
6. Introduction to Environmental Management, Mary K Theodore and Louise Theodore, CRC Press
7. Environment and Ecology, Majid Hussain, 3rd Ed. Access Publishing.2015

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Subject
Code Subject
Name Teaching Scheme Credits
SPL201 Laboratory
III Theory Practical Tutorial Theory TW/Practical Tutorial Total
- 02 - - 01 - 01

Subject
Code Subject
Name Examination Scheme
Theory Marks Term
work Practical Oral Total
Internal Assessment End
Sem.
Exam Test1 Test2 Avg.
of
Test1
and
Test2
SPL201 Laboratory
III - - - - 25 25 - 50

Term Work:
At least minimum ten experiments covering entire syllabus of Adaptive Signal Processing and
Signal processingAlgorithms and Application should be set to have well predefined inference and
conclusion. The experiments should be student’s centric and attempt should be made to make
experiments more meaningful, interesting and innovative. Term work assessment must be based on
oral performance of the student with every experiment. The grade must be converted to marks as per
credit & grading system manual, and should be added and average. Base on above scheme grading &
term work assessment should be done.
Practical & oral examination will be based on entire syl labus. The external examiner should be PG
recognized teacher by University of Mumbai.

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University of Mumbai M.E. (Signal Processing) Page 78

Subject
Code Subject
Name Teaching Scheme Credits
SPL202 Laboratory
IV Theory Practical Tutorial Theory TW/Practical Tutorial Total
- 02 - - 01 - 01

Subject
Code Subject
Name Examination Scheme
Theory Marks Term
work Practical Oral Total
Internal Assessment End
Sem.
Exam Test1 Test2 Avg.
of
Test1
and
Test2
SPL202 Laboratory
IV - - - - 25 25 - 50

Term Work:
At least minimum ten experiments covering entire syllabus of Video processing should be set to
have well predefined inference and conclusion. The experiments should be student’s centric and
attempt should be made to make experiments more me aningful, interesting and innovative. Term
work assessment must be based on oral performance of the student with every experiment. The grade
must be converted to marks as per credit & grading system manual, and should be added and
average. Base on above sc heme grading & term work assessment should be done.

Practical & oral examination will be based on entire syllabus. The external examiner should be PG
recognized teacher by University of Mumbai.

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University of Mumbai M.E. (Signal Processing) Page 79

Subject Code Subject Name Credits
SPS301 Seminar 03


Guidelines for Seminar

 Seminar should be based on thrust areas in Electronics and Telecommunication
Engineering.

 Students should do literature survey and identify the topic of seminar and finalize
in consultation with Guide/Supervisor. Students should use multiple literature and
understand the topic and compile the report in standard format and present infront
of Panel of Examiners appointed by the Head of the Department/Institute of r e-
spective Programme.

 Seminar should be assessed based on following poin ts
o Quality of Literature survey and Novelty in the topic
o Relevance to the specialization
o Understanding of the topic
o Quality of Written and Oral Presentation


IMPORTANT NOTE:

1. Assessment of Seminar will be carried out by a pair of Internal and Externa l ex-
aminer. The external examiner should be PG recognized teacher by University of
Mumbai, OR faculty from Premier Educational Institutions /Research Organiz a-
tions such as IIT, NIT, BARC, TIFR, DRDO, etc. OR a person having minimum
Post-Graduate qualifica tion with at least five years’ exp erience in Industries

2. Literature survey in case of seminar is based on the broader area of interest in r e-
cent developments and for dissertation it should be focused mainly on identified
problem.

3. At least 4 -5 hours of co urse on Research Methodology should be conducted
which includes Literature Survey, Problems Identification, Analysis and Interpr e-
tation of Results and Technical Paper Writing in the beginning of 3rd Semester.

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Subject Code Subject Name Credits
SPD 301
SPD401 Dissertation (I)
Dissertation (II) 12
15



Guidelines for Assessment of Dissertation I

o Dissertation I should be assessed based on following points

ƒ Quality of Literature survey and Novelty in the pro blem
ƒ Clarity of Problem definition and Feasibility of problem solution
ƒ Relevance to the specialization
ƒ Clarity of objective and scope
o Dissertation I should be assessed through a presentation by a panel of Internal e xam-
iners appointed by the Head of the Department/Institute of respective Programme.


Guidelines for Assessment of Dissertation II

o Dissertation II should be assessed based on following points
ƒ Quality of Literature survey and Novelty in the problem
ƒ Clarity of Problemdefinition and Feasibil ity of problem solution
ƒ Relevance to the specialization or current Research / Industrial trends
ƒ Clarity of objective and scope
ƒ Quality of work attempted
ƒ Validation of results
ƒ Quality of Written and Oral Presentation
o Dissertation II should be assessed through a presentation jointly by Internal and E x-
ternal Examiners appointed by the University of Mumbai Students should publish at
least one paper based on the work in reputed International / National Conference (d e-
sirably in R efereed Journal)