ME Instrumentation Engg1_1 Syllabus Mumbai University

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1 University of Mumbai, Instrumentation Engineering, Rev 2016 -17

AC 14/ 07/2016
Item No. 4.11




UNIVERSITY OF MUMBAI
















Revised Syllabus for the

M.E. Instrumentation Engineering


(As per Choice Based Credit and Grading System
with ef fect from the academic year 2016 -2017 )

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2 University of Mumbai, Instrumentation Engineering, Rev 2016 -17

From Co-ordinator ’s Desk :

To meet the challenge of ensuring excellence in engineering education, the issue of
quality needs to be addressed, debated and taken forward in a systematic manner.
Accreditation is the principal means of quality assurance in higher education. The
major emphasis of accreditation process is to measure the outcomes of the 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 process 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) and give freedom to affiliated Institutes to add few (PE O‘s) and
course objectives and course outcomes to be clearly defined for each course, so that
all faculty members in affiliated institutes understand the depth and approach of
course to be taught, which will enhance learner‘s learning process. It was also
resolved that, maximum senior faculty from colleges and 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, and developed
curric ulum 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 System enables a much -required shift in focus from
teacher -centric to learner -centric education since the workload estimated is based on
the in vestment of time in learning not in teaching. It also focuses on continuous
evaluation which will enhance the quality of education. University of Mumbai has
taken a lead in imp lementing the system throu gh its affiliated Institutes Faculty of
Technology has devised a transpar ent credit assignment policy adopted ten points
scale to grade learner‘s performance. Choice Base d Credit and Grading System were
implemented for First Year Master of Engineering from the academic year 2016 -2017.
Subsequently this system will be carried forward for Second Year Master of
Engineering in the academic year 2017 -2018.




Dr. Suresh K. Ukarande
Co-ordinator ,
Faculty of Technology,
Member - Acade mic Council
University of Mumb ai, Mumbai

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Preamble:

The overall technical education in our country is changing rapidly in manifolds. Now it is
very much challenging to maintain the quality of education with its rate of expansion. To
meet present re quirement a systematic approach is necessary to build the strong technical
base with the quality. Accreditation will provide the quality assurance in higher education
and also to achieve recognition of the institution or program meeting certain specified
standards. The main focus of an accreditation process is to measure the program
outcomes, essentially a range of skills and knowledge that a student will have at the time
of graduation from the program that is being accredited. Faculty of Technology of
Univ ersity of Mumbai has taken a lead in incorporating philosophy of outcome based
education in the process of curriculum development.

I, as Chairman, Board of Studies in Electrical Engineering of University of Mumbai,
happy to state here that, Program Educat ional Objectives (PEOs) were finalized for post -
graduate program in Instrumentation Engineering, more than ten senior faculty members
from the different institutes affiliated to University of Mumbai were actively participated
in this process. F ew PEOs were finalized for post -graduate program in Instrumentation
Engineering are listed below;

Program Educational Objective s (PEO s)

 To create the competent & skilled engineers to ensure them the careers and
employment and in this way fulfill the requirement of Multinational industries.
 To develop the strong ability in data analysis & their report towards an application
for design and development of automation product & systems.
 Expose them by giving an opportunity as an individual as well as team.
 Inculcate prof essional and ethical attitude and ability to relate automation issues to
society at large.
 Facilitate strong base of basic scientific & engineering knowledge with
professional ethics, lifelong learning attitude society globally.
 Be successful innovative an d entrepreneur in the automation field via consultancy
work.

Program Outcomes (PO s)

 Able to demonstrate & competent enough in basic knowledge in Mathematics,
Engineering and Technology to obtain the solution of engineering problem.
 Have ability to formu late the engineering problem, design the setup for
experimentation, analysis and interpretation of the result data, report preparation.
 Develop the competency to design an instrument system, automation systems,
control systems, engineering software‘s , simu lated model and solutions etc as per
desired specification & requirement as applicable/useful to public/society.
 Demonstrate the ability to work on basic engineering discipline as well as multi -
disciplinary engineering teams to achieve the solution of engi neering problem.
 Strong competency in using modern engineering tools like M ATLAB / Simulink,

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LABVIEW/Multi Sim for solution of control engineering problems.
 Able to use the acquired knowledge and professional skill and project as well as
budget management t owards betterment of the society.
 Understand the needs of the society worldwide in the context of his professional
knowledge to ensure environmental safety and better sustainability.
 Capable to apply ethical principles with committed professional ethics an d duties
towa rds the solution of complex engineering problems.
 Motivate to work independently as well as a member of team or team leader in
multi functionaries and diversified knowledge platforms.
 Develop an effective inter personnel communicat ion skill at large with public and
professional bodies. They will be able to comprehend the data and accordingly
will prepare technical design details, datasheets, reports , documentation etc.
 Inculcate the lifelong learning in the purview of u pdates /upgrade in engine ering
and technology.
 Investigate the complex engineering problems using acquired knowledge in
instrumentation engineering to develop industrial level solutions in the interest of
society.



Dr. S. R. Deore,
Chairman,
Board of Studies in Electrical Engin eering,
Member - Academic Council
University of Mumbai

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Program Structure for
M.E. Instrumentation Engineering
University of Mumbai
(With Effect from 2016 -17)

Semester I
Subject
Code Subject Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
ISC101 Computational Techniques
in Instrumentation
Engineering 04 - - 04 - - 04
ISC102 Sensors and Measurement
Systems 04 - - 04 - - 04
ISC103 Process Dynamics and
Control 04 - - 04 - - 04
ISDLO101X Department Level Option al
Course -I 04 - - 04 - - 04
ILO101X Institute Level Option al
Course -I 03 - - 03 - - 03
ISL101 Laboratory -I - 02 - - 01 - 01
ISL102 Laboratory -II - 02 - - 01 - 01
Total 19 04 - 19 02 - 21
Subject
Code
Subject Name

Examination Scheme
Theory Term
Work Pract.
/Oral Total Internal Assessment End
Sem.
Exam. Exam.
Duration
(in Hrs) Test1 Test 2 Avg.
ISC101 Computational Techniques
in Instrumentation
Engineering 20 20 20 80 03 - - 100
ISC102 Sensors and Measurement
Systems 20 20 20 80 03 - - 100
ISC103 Process Dynamics and
Control 20 20 20 80 03 - - 100
ISDLO 101X Department Level Option al
Course -I 20 20 20 80 03 - - 100
ILO101X Institute Level Option al
Course -I 20 20 20 80 03 - - 100
ISL101 Laboratory -I - - - - - 25 25 50
ISL102 Laboratory -II - - - - - 25 25 50
Total 100 100 100 400 - 50 50 600

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Program Structure for
M.E. Instrumentation En gineering
University of Mumbai
(With Effect from 2016 -17)

Semester I I
Subjec t
Code Subject Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
ISC201 Modern Control Theory 04 - - 04 - - 04
ISC202 Appl ied Instrumentation for
Process Industries 04 - - 04 - - 04
ISC203 Industrial Automation 04 - - 04 - - 04
ISDLO 202X Department Level Option al
Course -II 04 - - 04 - - 04
ILO202X Institute Level Option al
Course -II 03 - - 03 - - 03
ISL201 Laborator y -III - 02 - - 01 - 01
ISL202 Laboratory –IV - 02 - - 01 - 01
Total 19 04 - 19 02 - 21
Subject
Code
Subject Name

Examination Scheme
Theory Term
Work Pract.
/Oral Total Internal Assessment End
Sem.
Exam. Exam.
Duration
(in Hrs ) Test1 Test 2 Avg.
ISC201 Modern Control Theory 20 20 20 80 03 - - 100
ISC202 Applied Instrumentation for
Process Industries 20 20 20 80 03 - - 100
ISC203 Industrial Automation 20 20 20 80 03 - - 100
ISDLO 202X Department Level Option al
Course -II 20 20 20 80 03 - - 100
ILO202X Institute Level Option al
Course -II 20 20 20 80 03 - - 100
ISL201 Laboratory -III - - - - - 25 25 50
ISL202 Laboratory -IV - - - - - 25 25 50
Total 100 100 100 400 - 50 50 600

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Program Structure for
M.E. Instrumentation Engineering
University of Mumbai
(With Effect from 2016 -17)

Semester III
Subject
Code
Subject Name Teaching Scheme
(Contact Hours) Credits Assigned
Theor
y Pract. Tut. Theory Pract. Tut. Total
ISS301 Special Topic Seminar - 06 - - 03 - 03
ISD301 Dissertation –I - 24 - - 12 - 12
Total - 30 - - 15 - 15
Subject
Code Subject Name Examination Scheme
Theory
Term
Work
Pract.
/Oral

Total Internal Assessment End Sem.
Exam. Test1 Test 2 Avg.
ISS301 Special Topic Seminar - - - - 50 50 100
ISD30 1 Dissertation –I - - - - 100 - 100
Total - - - - 150 50 200


Semester IV

Subject
Code
Subject Name Teaching Scheme
(Contact Hours) Credits Assigned
Theor
y Pract. Tut. Theory Pract. Tut. Total
ISD401 Dissertation –II - 30 - - 15 - 15
Total - 30 - - 15 - 15


Subject
Code


Subject Name Examination Scheme
Theory
Term
Work
Pract.
/Oral

Total Internal Assessment End Sem.
Exam. Test1 Test 2 Avg.
ISD401 Dissertation –II - - - - 100 100 200
Total - - - - 100 100 200
Note:
o In case of Seminar, 01 Hour / week / student should be considered for the calculation of
load of a teacher
o In case of Dissertation I, 02 Hour / week / student should be cons idered for the calculation
of load of a teacher
o In case of Dissertation II, 02 Hour / week / student should be considered for the
calculation of load of a teacher
o End Semester Examination: In all six questions to be set, each of 20 marks, out of these
any four questions to be attempted by students. Each question will comprise of mixed
questions from different units of the subjects.

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Subject Code Department Level Option al
Course -I Subject Code Department Level Option al
Course -II
ISDLO 1011 Applied Biomedi cal
Instrumentation ISDLO 2021 Fractional Order Modeling
and Control
ISDLO 1012 Design of Embedded System ISDLO 2022 Advanced Nuclear
Instrumentation
ISDLO 1013 Advanced Digital Signal
Processing ISDLO 2023 Wavelets and Applications
ISDLO 1014 Instrumentation for Non -
conventional Energy Sources ISDLO 2024 Soft Computing Techniques
ISDLO 1015 Applied Analytical
Instrumentation ISDLO 2025 Instrumentation for
Environmental Analysis
ISDLO 1016 Fault Tolerant Control ISDLO 2026 Robotics and Automa tion


Subject
Code Institute Level Option al Course -I Subject
Code Institute Level Option al Course -II
ILO1011 Product Lifecycle Management ILO2021 Project Management
ILO1012 Reliability Engineering ILO2022 Finance Management
ILO1013 Management Informat ion System ILO2023 Entrepreneurship Development and
Management
ILO1014 Design of Experiments ILO2024 Human Resource Management
ILO1015 Operation Research ILO2025 Professional Ethics and C orporate
Social Responsibility (C SR)
ILO1016 Cyber Security and L aws ILO2026 Research Methodology
ILO1017 Disaster Management and Mitigation
Measures ILO2027 IPR and Patenting
ILO1018 Energy Audit and Management ILO2028 Digital Business Management
ILO2029 Environmental Management

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Subject Code Subject Name Credits
ISC101 COMPUTATIONAL TECHNIQUES IN
INSTRUMENTATION ENGINEERING 04

Course Objectives :
 To develop understanding and application of fundamental techniques involved in the analysis
and computation of Instrumentation engineering .
 To tra in the students with mathematics needed to analyze and solve engineering problems .
 To build up the ability to apply the conce pts of Matrix theory and Linear programming .
 To familiarize numerical methods pertaining to control engineering problems .
 To make a cquainted the students in calculus of variations and solve problems using integral
transforms associated with engineering applications .

Course Outcomes :
 Able to acquire adequate knowledge in matrix theory and its application.
 Capable to solve numerical m ethods for differential equations.
 Able to apply the basic concepts and methods of probability and statistics.
 Demonstrate concept of integral transforms and their application areas.
 Improve the problem evaluation skills.
 Able to select an appropriate meth od to solve a practical problem.

Module Detailed content Hours
Prerequisite : Review of matrix theory , Basic concepts of vector
spaces, Solution of linear ordinary differential equ ations, Elementary
integral and differential calculus, R evision of axioms of probability,
Introduction to the concept of function.
1 Matrix computation : Determinant, rank, Norm, inverse, T ranspose of
matrix, Eigen values and Eigen vectors, Decomposition: LU, QR,
Cholesky, Schur decompos ition, Eigenvalue decomposition,
Biconjug ate decomposition. 08
2 Vector spaces : Subspaces, Linear combinations and subspa ces
spanned by a set of vectors , Linear dependence and Linear
independence, Inner product, Orthogonality, Gram – Schmidt
orthonormalization . 06
3 Numerical methods for algebr aic and differential equations :
Solution of algebraic equations - least square method, Gauss -Jordan
method, Gauss - Seidal method, Gauss elimination method, Newton -
Raphson method, Eule r's method, Runge -Kutta method, Numeric
integration and differentiation - Trapezoidal rule, Simpson's rule,
Adaptive integration. 10
4 Calculus of Variation : Concept of variation and its properties –
Euler‘s equation , Functional dependant on first and higher order
derivatives, Functional dependant on functions of several indep endent
variables, Variation problems with moving boundaries, problems with
constraints, Direct methods: Ritz and Kantorovich methods. 08

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5 Probability and random variable : Probability space, Sample spaces,
Conditiona l probability, Bayes' theorem, Random variable, P robability
distribution function, Probability density function, D istributions -
Binomial, Poisson, Normal, Exponential, U niform. 08
6 Integral Transforms : Laplace transform, Z -Transform, Fourier
transform, F ast fourier transform, Discrete fourie r transform, Wavelet
transform, Mellin transform, Hankel transform. 08

Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules) and the other is
either a class test or assignment on live problems or course project.

End Semester Examination: Some guidelines for setting the question papers are as, six questions
to be set each of 20 marks, out of these any four questions to be
attempted by students. Minimum 80% syllabus should be cover ed
in question papers of end semester examination.

References:
1. Strang G., "Linear Algebra and its Application", F ourth edition, 1996.
2. Horward Anton ―Elementary Linear Algebra‖, 11th Edition, Wiley Publications, 2013.
3. Michael T. Heath, "Scientific computi ng- An Introduction Survey", McGraw Hill,1997.
4. Erwin Kreyszig, "Advanced Engineering Mathematics", 9th Edition, John Wiley and Sons,
INC, 2006.
5. Davies B., "Integral Transforms and their applications," 2nd edition, New York, Springer -
Verlag, 1985.
6. Murray S piegal, John Schiller and R. Alu Srinivasan, "Probability and Statistics", Tata Mc -
Graw - Hill edition, New Delhi, 2004.
7. Walpole R.E., Myers R.H. and Myers S.L., "Probability and Statistics for Engineers and
Scientist", Prentice Hall Inc., New Jercy, 1998 .
8. G.H. Golub and C.F. Van Loan, "Matrix computations", 4th edition, John Hopkins
University press, 2007.
9. Steven C. Chapra, "Applied Numerical methods with MATLAB for engineers and
scientists", McGraw Hill, third edition, 2012.
10. S.S. Sastry, "Introductory Me thods of Numerical Analysis", Prentice -Hall of India Private
Limited, 5 thedition, 2012 .

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Subject Code Subject Name Credits
ISC102 SENSORS AND MEASUREMENT SYSTEMS 04

Course Objectives :
• To introduce the resistive, inductive and capacitiv e transducers and their transduction
principles .
• To educate on magnetic transducer elements .
• Study of acoustic, mechanical and flow metering el ements, their working principles.
• To familiar them various optical sensors, their transduction principles and the ir applications .
• To create awareness of advanced and miniature sensors and their applications .
Course Outcomes :
• Be able to interpret and formulate design specifications for various transducers that meet
accuracy and sampling speed requirements.
• Able to ex plain the principles of operation of sensors including temperature transducers, flow
transducers and pressure transducers.
• Demonstrate principles of analog and digital signal and data processing, including Amplifiers,
filters and A -D conversion techniques. Understand sources and measures of error in
instrumentation systems.
• Be able to design, construct, and verify an instrumentation system to meet desired
specifications, with the aid of computer -aided design techniques.
• Be familiar with safety issues concer ning design of instrumentation, including the effects of
electric current through tissue and defibrillation.
Module Detailed content Hours
Prerequisite: Overview of conventional sensors - Resistive,
Capacitive, Inductive, Thermal, Piezoelectric, Magneto strictive and
Hall effec t sensors - Static and Dynamic c haracteristics and
specifications - Measu rements and Measurement system.
1 Basic Measuring Sensor Dynamics : Mathematical model of variable
resistive transducers: Potentiometer loading effect, Strai n gauge
analysis, V ariable inductive transducers and its circuit analysis,
Variable capacitive transducers: Capacitive pickups, its model,
Capacitive transducer signal processing, Piezoelectric transducers: Its
equivalent circuit, Displacement to pressure system (Flapper and nozzle
system). 10
2 Mathematical model of Measurement system : Generalized
mathematical model of m easurement system: Zero, I and II order
electrical and non-electrical system and its response to impulse, step,
ramp and sinusoidal input, Mechanical translational and rotational
system, Thermal system, Liquid level system, Pneumatic system. 08
3 Process Measuring Sensor Dynamics I : Mathematical model and
analysis of flow measuring devi ce: Mass and density flow meter,
Corriolis typ e mas s flow meter, Venturi meter, Vortex meter, Magnetic
flow meter, orifice and rotameter , Mathematical model , Analysis and
compensation of t emperature measuring devices: high speed 10

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thermocouples, RTD, P ulse excitation techniques, Photovoltaic sensor.
4 Process Measuring Sensor Dynamics II : Mathematical model and
signal processing of pressure measurement : Manometer dynamics,
Elastic p ressure pickups - diaphragm type , Strain gauge pressu re
pickups, D iffused sensor transducers and auto refe rence techniques,
Differential p resuure transmitters, Model of f orce balance pressure
sensor, Mathematical model and analysi s of displacement
measurement: Strain gauge, P otentiometer, LVDT. 10
5 Introduction to T ransmitters : Two wire, three wire and four wire
transmitters, S mart and intelligent Transmitters. Design of transmitters . 04
6 SMART Sensors and Nanotechnology : Micro -sensors and smart
sensors : Block diagram , characteristics and applications ,
Nanotechnology: Discussion on n ano sensors and MEMS application. 06

Asses sment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules) and the other is
either a class test or assignment on live problems or course project.

End Semester Examination: Some guidelines f or setting the question papers are as, six questions
to be set each of 20 marks, out of these any four questions to be
attempted by students. Minimum 80% syllabus should be covered
in question papers of end semester examination.

References :
1. H.K.P Neubert , ―Instrument Transducers Oxford Herman University Press Eighth Impression
2008.
2. B. G. Liptak, "Instrument Engineers Handbook" , Vol. I and II, Third Edi tion, Chilton and
Book Company, 1990.
3. C. D. Johnson, " Process Control Instrumentation Technology ", Fourth Edition, PHI, 1996
4. Andrew and Williams, "Applied Instrumentation in Process Industries ", Vol. I, II, II I, IV, Gulf
Publi shing Company, 1979.
5. D. M. Considine, "Process/Industrial Instruments and Control Handbook ", Fourth Edition,
McGraw -Hill Inc., 1993.
6. John P. Bentley, "Principles of Measurement Systems ", Addison -Wesley publication, 1999.
7. T. R. Padmanabhan, "Industria l Instrumentation: Principles and Design ", Springer -Verlag
Publications, 1999.
8. B. C. Nakra and K. K. Choudhari, "Instrumentation: Measurement and Analysis ", Tata
McGraw Hill Pub, 1985.
9. nE.A. Doebelin, " Measurement Sy stems – Applications and Design" , Tata McGraw Hill, New
York, 2000.

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10. A. K. Sawhney, " A course in Electrical & Electronic Measurement and Instrumentation" ,
Dhan pat Rai and Co (P) Ltd., 2004.
11. R. Frank "Understanding smart sensors" , Artech house, (1996) .
12. D. Patranabis" Princples of Industrial Inst rumentation" H.K.P Neubert ―Instrument
Transducers‖, Oxford Herman University Press Eighth Impression 2008.

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Subject Code Subject Name Credits
ISC103 PROCESS DYNAMICS AND CONTROL 04

Course Objectives :
• To teach the fundamental of mathematical modeling of real -time systems and design various
controller modes and tuning methods.
• To develop skill for design of single loop and multi loop control schemes.
• To brief different enhancement in control and tuning strategies.
• To develop approach for apply ing the multivariable control schemes for various applications.
• Train the student for Plant wide control.

Course Outcomes :
• Ability to obtain the mathematical model of real -time first and higher order systems and to
design various controller modes with appropriate tuning.
• Expose to design and implement conventional and advanced control sche mes for various
processes.
• Ability to enhance the performance of single and multi -loop and multivariable control
systems.
• Ability to demonstrate multi -loop controller for various applications.
• Ability to develop plant wide control system.
Module Detailed c ontent Hours
Prerequisite : Process control fundamental, Control action s, concept of
Single and multi - loop control, Multivariable system and control
1 Process Dynamics & Control Actions : Need for process control –
Hierarchical decomposition of control functions - Continuous and batch
processes, Self -regulation - Interacting and non -interacting systems -
Mathematical model of Level, Flow and Thermal processes – Lumped
and Distributed parameter models – Linearization of nonlinear systems -
Characteristic of ON -OFF, P, P+I, P+D and P+I+D control modes. 8
2 PID Controller Tuning – Single Loop Regulatory Control : Evaluation
criteria – IAE, ISE, ITAE and ¼ decay ratio – Tuning: Process reaction
curve method: Z -N and Cohen -Coon methods, Continuous cycling
meth od and damped oscillation method – optimization methods – Auto
tuning. 6
3 Enhancement to Single Loop Regulatory Control & Model Based
Control Schemes : Cascade control – Split -range - Feed -forward control –
Ratio control – Inferential control –– override control - Smith predictor
control scheme - Internal Model Controller - IMC PID controller – Single
Loop Dynamic Matrix Control – Generalized Predictive Control, Model
Predictive Control. 10
4 Multivariable Systems & Multi -Loop Regulatory Control :
Multivar iable Systems – Transfer Matrix Representation – Poles and
Zeros of MIMO System – Multivariable frequency response analysis
Directions in multivariable systems - Singular value decomposition -
Multi -loop Control - Introduction – Process Interaction – Pairing of Inputs
and Outputs -The Relative Gain Array (RGA) –Properties and 10

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Application of RGA - Multi -loop PID Controller – Biggest Log Modulus
Tuning Method -Decoupling Control
5 Multivariable Regulatory Control & Case –Studies : Introduction to
Multivar iable control – Multivariable PID Controller –Multivariable IMC
– Multivariable Dynamic Matrix Controller -Multiple Model based
Predictive Controller –Predictive PID Control – Case Study: Distillation
Column, CSTR, Bioreactor, Four -tank system, pH, and pol ymerization
reactor. 10
6 Plant wide Control : Introduction P lant wide control, S teady state and
dynamic effect of recycle, D esign example of P lant wide control. 04

Assessment:

Internal: Assessment consists of two tests out of which; one should be
comp ulsory class test (on minimum 02 Modules) and the other is
either a class test or assignment on live problems or course project.

End Semester Examination: Some guidelines for setting the question papers are as, six questions
to be set each of 20 marks, ou t of these any four questions to be
attempted by students. Minimum 80% syllabus should be covered
in question papers of end semester examination.

References:
1. B.Wayne Bequette, ―Process Control: Modeling, Design, and Simulation‖, Prentice Hall of
India, 2 004.
2. Dale E. Seborg , Duncan A. Mellichamp , Thomas F. Edgar, and Francis J. Doyle, ―Process
Dynamics and Control‖, John Wiley and Sons, 3rd Edition, 2010.
3. Jose A. Romagnoli and Ahmet Palazoglu , "Introduction to Process Control", CRC Press,
Taylor and F rancis Group, Second Edition, First Indian Reprint, 2010.
4. Bela Liptak, ―Process Control - Instrument Engineers Handbook‖, (Volume 2) Third Edition:
CRC Press, Boca Raton London New York Washington D.C, February 15, 1995
5. George Stephanopolus, "Chemical Proc ess Control", Pearson India, 2015.
6. William L. Luyben, Björn D. Tyréus, Michael L. Luyben, ―Plantwide Process Control‖,
McGraw -Hill, 1999.

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Subject Code Subject Name Credits
ISDLO 1011 APPLIED BIOMEDICAL INSTRUMENTATION 04

Course Objectives :
 To introduce about various instruments functionality and advanced techniques in biomedical
instrumentation.
 To build adequate knowledge about measurement of various physiological parameters and to
understand the fundamental principle and working of the bio medical instruments involved in
the measurement.
 To gain basic knowledge about Bio -potentials, bioelectrodes and bioamplifiers and to give a
complete exposure of various recording mechanism .
 To provide latest knowledge of special medical assistive and ther apeutic equipment‘s and
learn how to use that equipment‘s and servicing .
 To explain the fundamentals of different types of laser, its operations and applications in
medical field.
Course Outcomes :
 Able to d etermine the origin of bio -potential, different t ypes of electrodes used in bio -
potential recording.
 Able to m easure various physiological parameters and helps to design biomedical sensors.
 Ability to apply knowledge about physiotherapy and electrotherapy equipment, instruments
dealing with kidney and bo nes.
 Inculcate k nowledge of instruments used for sensory measurements, imaging equipments and
diagnostics measurements.
 Demonstrate special medical assistive and therapeutic equipments and learn how to use that
equipments and servicing .
Module Detailed con tent Hours
Prerequisite: Structure of Cell, Origin of Bio -potential, Physiological
Systems and Related Measurement, Structure of Heart, Electrical and
Mechanical activity of Heart, Cardiovascular Measurement, Life
support instruments, Imaging Techniques.
1 Introduction to Biomedical measurements : Recording of membrane
potential & Action potential, Contraction & excitation of smooth
muscle, Electrocardiographic interpretation of cardiac muscle &
cardiac arrhythmias, Physical characteristics of circulatio n,
measurement of fluid volumes, osmosis & osmotic pressure,
mechanism of pulmonary ventilation, Transmission & processing of
signals in neuronal pools. 04
2 Instrumenta tion for Diagnosis & Monitoring : Electrocardiograph
system, principles of vectoral ana lysis of vectocardiogram,
Advancement in EEG signal processing, computerised patient 10

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monitoring system, Bio -potential electrodes - types and characteristics,
Origin, recording schemes & analysis of biomedical using ECG, EEG,
Pulse oximeter, Fetal monitor, S pirometer, Incubator, Opthamology.
3 Biotherauptic Instruments and Electrical safety aspects :
Defibrillator system, Nerve & Muscle Stimulator, Electrosurgical unit
for cutting & coagulation of muscles, Shortwave diathermy,
Hemodialysis machine, Ventila tor, Anesthesia machine, Automated
drug delivery systems, Human and Equipment safety, Physiological
effects of electricity, Micro and macro shocks, thermal effects. 08
4 Bio-Imaging Modality : Advanced medical imaging techniques &
modalities - Imaging with X-ray, principle and production of soft X -
rays & hard X -rays, screen film & image intensifier system, Computed
tomography imaging, CT image reconstruction, CT angiography,
Optical coherence tomography, Radionuclide imaging, PET and
SPECT systems, Infrared imaging, Clinical applications of
thermography, Image acquisition in MRI, spin echo technique & spin
relaxation technique. 10
5 Biom edical Implants & Microsystems : Implantable medical devices,
Artificial valves, Cochlear implants, Cardiac pacemaker, Bio -
prosthetic devices, Micro fabrication technologies for biomedical
microsystems, micro -sensors for clinical applications, Biomedical
micro -fluid systems. 10
6 Bio-photonics : Laser physics, fundamental of laser, types of laser,
properties of lasers, Interact ion of laser with tissue, Non -thermal &
thermal effects, Overview of laser propagation in tissue, medical
applications of laser for dermatology, ophthalmic, cardiology,
dentistry, neurosurgery, Laser hazards & safety aspects, biological
effects of laser, r adiations safety exposure limits. 06

Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules) and the other is
either a class test or assignment on live problems or course project.

End Semester Examination: Some guidelines for setting the question papers are as, six questions
to be set each of 20 marks, out of these any four questions to be
attempted by students. Minimum 80% syllabus should be covered
in question papers of end seme ster examination.

References:
1. Guyton, A.C. ―Medical Physiology‖, 12th Edition, Saunders Publisher,Philadelphia, 2010 .
2. Thyagarajan K, Ajoy K, Ghatak A, ―Lasers Fundamentals and Applications‖, Second edition,
Springer 2010.
3. Markolf H. Niemz, ―Laser -Tissue Interactions: Fundamentals and Applications‖, Third
edition, Springer 2007.

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18 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
4. Vij, D.R., Mahesh , K, ―Medical Applications of Lasers‖, Kluwer Academic Publishers, 2002 .
5. Subhas Chandra Mukhopadhyay and Aimé Lay -Ekuakille (Eds.), ―Advances in Biomedical
Sensing , Measurements, Instrumentation and Systems‖, Springer, 2010.
6. John G.Webster (editor), ―Bioinstrumentation, John Wiley & Sons ‖, 2004.
7. Shayne Cox Gad, ―Safety Evaluation of Medical Devices ‖, Marcel Deckle Inc, 2002.
8. John G.Webster (editor), ―Medical Instrum entation Application and design, John Wiley &
Sons, 2005.
9. Cromwell l., ―Biomedical Instrumentation and Measurements ‖, Prentice Hall of India, 1995.
10. Rangaraj M. Rangayan, ―Biomedical signal analysis ‖, John Wiley & Sons (ASIA) Pvt. Ltd.
11. Kayvannajarian and R obert splinter, ―Biomedical Signal and Image Processing ‖, CRC Press,
2005.
12. John M.Semmlow, ―Bio signal and Bio medical Image processing ‖, CRC Press, 2004.
13. Joseph J. Carr and John M Brown, ―Introduction to Biomedical Equipment Technology ‖,
Pearson Education , 2004.
14. Reza Fazel -Rezai, ―Biomedical Engineering - From Theory to Applications‖, InTech
Publisher, 2011.

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19 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
Subject Code Subject Name Credits
ISDLO 1012 DESIGN OF EMBEDDED SYSTEM 04

Course Objectives:
 To teach students to the modern embedde d systems program such systems using a concrete
platform .
 To emphasizes high -level tools and hardware/software trade -offs, rather than low -level
assembly -language programming and logic design.
 To make them familiar with distinct fields of software and har dware design in a new unified
approach.
 Expose them with trends and challenges, the design and use of single -purpose processors
("hardware") and general -purpose processors ("software"), describes memories and buses, and
illustrates hardware/softwa re tradeo ffs, chip technologies and modern design tools.
 Develop skill to design a system, component, or process to meet desired needs within realistic
constraints such as economic, environmental, social, political, ethical, health and safety,
manufacturability, an d sustainability.

Course Outcomes:
 Ability to differentiate between the general computing system and the embedded system, also
recognize the classification of embedded systems.
 Able to d esign ARM based and DSP based embedded systems.
 Demonstrate the conce pt of operating system and real time embedded systems using the
concepts of RTOS.
 Ability to expose the concept of Internet of things and its applications.
 Analyze various examples of embedded systems based on ARM processor and familiar with
advanced proc essor.
Module Detailed content Hours
Prerequisite: Fundamentals of Microcontroller: architecture and
programming, concept of embedded processor, Real time operating
system and Internet of things.
1 Introduction : Overview, comparison with general comput ing systems,
processors, hardware components and software, design process,
classification and major application areas, skills required for system
designer. 06
2 RISC Processor (ARM7 ): The RISC design philosophy, features and
architecture, processor modes, register organization, exception and its
handling, addressing modes, ARM and Thumb instruction, co -
processor interface, assembly language programming, ARM7
processor families. 10
3 DSP Processor : TMS320C67XX 32 bit floating point DSP Processor:
introduct ion, features and architecture, applications, addressing modes,
memory architecture, external memory accesses, pipeline operation,
hardware tools, and software tools: code composer studio. 10

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20 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
4 OS Based Embedded System Design and RTOS : Introduction to OS
its structure, characteristics of RTOS, tasks states, Semaphores,
message queue, scheduling task operations, inter -process
communication, memory and file I/O management, performance
matrix and interrupt handling security issue in RTOS, RT Linux
architectu re and internals, programming and configuration. 08
5 Internet of things (IOT) and its applications : Introduction, layered
architecture, functional view, enabling technologies for IOT,
technology in networking, processes, data management and security,
application areas, F uture of IOT. 08
6 Case Studies : IOT based smart City and health monitoring system,
adaptive cruise control car , RFID based smart cards, ARM based
digital signage, smart phone, applications of embedded system in
instrumentation. 06

Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules) and the other is
either a class test or assignment on live problems or course project.

End Semester Examination: Some guidelines for setting the question papers are as, six questions
to be set each of 20 marks, out of these any four questions to be
attempted by students. Minimum 80% syllabus should be covered
in question papers of end semester examination.

References:

1. Raj Kamal , "Embedded system Archi tecture, Programming and Design" , Second Edition, Tata
McGraw Hill, 2008.
2. Andrew N.Sloss, " ARM Systems Developer‘s Guides - Designing & Optimizing System
Software ―, Dominic Symes, Chris Wright, 2008, Elsevier.
3. Lapsley P.,Bier , Shoham A, "DSP Processor Fundament als: Architectures And Features" ,
S,Chand& Co. ,New Delhi ,1997 .
4. Dr. OvidiuVermesan, Dr Peter Friess, ―Internet of Things: From research and Innovation to
Market Development‖, River Publisher, 2014.
5. Jimmy Schaeffler, ―Digital Si gnage: Software, Networks, Advertising, and Displays: A
Primer for Understanding the Business‖, Focal press U.K., 2008,
6. ShibuK.V ," Introduction to Embedded Systems" , McGraw Hill, 2009.
7. Frank Vahid, Tony Givargis, " Embedded System Design - A unified Hardware /Software
Introduction" , John Wiley, 2002.
8. Lyla,"Embedded Systems" , Pearson, 2013.
9. David E. Simon ,"An Embedded Software Pr imer" , Pearson Education, 2000.
10. Jonathan W. Va lvano, " Embedded Microcomputer Systems: Real Time Inter facing", 1999,
Thomas Learning.
11. Qing Li, ―Real Time Concepts for Embedded Systems‖, Elsevier, 2011.

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21 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
12. Dr. Craig Hollabaugh ,"Embedded Linux: Hardware, Software and Interfacing" , Addition -
Wesley, 2002.
13. Raspberry Pi Foundation, Documentation ‗http://www.raspberrypi.org/documentation‖.

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22 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
Subject Code Subject Name Credits
ISDLO 1013 ADVANCED DIGITAL SIGNAL PROCESSING 04

Course Objectives :
 To teach design, implementation, analysis and comparison of digital filters for processing of
discrete time signal s.
 To explain concepts of multi -rate signal processing
 To train for a pplication of multi -rate signal processing
 To familiarize with design of adaptive filters and homographic signal processing
 To teach the fundamentals of digital signal processing in time -frequency domain& its
application

Course Outcomes :
 Able to d etermine the frequency response of FIR and IIR filters.
 Demonstrate the multi -rate signal processing and its applications for filter bank.
 Expand the k nowledge of adaptive filters and homograp hic signal processing.
 Ability to apply the c oncept of time frequency analysis.
Module Detailed content Hours
Prerequisite: Signals and Systems, Unit impulse and unit step
functions, Laplace Transform & its properties, Fourier Transform & its
properties, Z-Transform & its properties, Convolution and Correlation
of signals.
1 Discrete Fourier Transform: Introduction to DTFT, Fourier
representation of finite duration sequences, the Discrete Fourier
Transform, properties of the DFT, Linear convolution usi ng the DFT
and IDFT. Computation of the Discrete Fourier Transform: - Decimation
in frequency (DIF) algorithms, Decimation in time (DIT) algorithms for
Radix 2, 3 composite. 08
2 Multirate Signal Processing & Filter Banks : Introduction,
Decimation, Inter polation, Fractional rate conversion, Multistage Filter
implementation. Interpolated FIR filter (IFIR), IFIR technique for
decimation filter and interpolation filter, analysis and Synthesis banks.
Poly phase structures – Polyphase structure for decimation and
interpolation filters. 10
3 Applications of Multirate Signal Processing : Filter banks, digital
audio, analog voice privacy system, transmultiplexers, Multirate
adaptive filters, Sub band coding – spectral analysis, amplitude and
phase analysis, simple and M channel QMF. 10
4 Adaptive Filtering : Principles of adaptive filtering, LMS and RLS
algorithms, Performance of LMS, LMS with Gaussian regressors,
Applications in noise and echo cancellation, Weighted Energy
Conservation. 08

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23 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
5 Homographic Signal P rocessing : Homograph systems for convolution,
Properties of complex spectrum, Application of homographic
deconvolution. 06
6 Applications : Speech processing application, Digital processing of
audio signals, DSP based biomedical signals measurement systems ,
Homomorphic vocoder . 06

Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules) and the other is
either a class test or assignment on live problems or course project.

End Semest er Examination: Some guidelines for setting the question papers are as, six questions
to be set each of 20 marks, out of these any four questions to be
attempted by students. Minimum 80% syllabus should be covered
in question papers of end semester examina tion.

References:
1. P.P. Vaidhyanathan, ―Multirate systems and filter banks‖, Prentice Hall, 1993
2. Peter O‘Shea , Amin Z. Sadik , Zahir M. Hussain , ―Digital Signal Processing‖, Springer Berlin
Heidelberg, 2011.
3. Paulo S. R. Diniz, ―Adaptive Filtering‖, Springer US, 2013.
4. Emmanuel Ifeachor and Barrie Jervis, ―Digital Signal Processing: A Practical Approach‖,
(2nd Editi on), Prentice Hall, 2004.
5. J.G Proakis and D.G Manolakis , "Digital Signal Processing: Principles, Algorithms and
Applications ", PHI, 2004.
6. A.V. Oppehein and R.W. Schafer, ―Discrete time signal processing‖, PHI, 1992 .
7. Haykins,‖ Adaptive Filter Theory‖, Prentice Hall, 1986 .
8. Leon Cohen, ―Time Frequency analysis‖, Prentice Hall, 1995 .
9. Orfanidis Sophocles J, ―Optimum Signal Processing‖, McGraw Hill, 1988 .

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24 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
Subject Code Subject Name Credits
ISDLO 1014 INSTRUMENTATION FOR NON -CONVENTIONAL
ENERGY SOURCES 04

Course Objectives :
 To create awareness of energy resources and its scenario in India.
 To build up the imp ortance of the natural non -conventional energy sources like solar, wind,
tidal, ocean etc.
 To make them understand the instrumentation involved for the better utilization of energy
sources with environmental balance.
Course Outcomes :
 Ability to understand environmental science, effects and natural energy sources.
 Develop an approach towards conservation and utilization of natural energy sources.
 Able to analyze problems in energy conservation and applications of instrumentation as an
effective tool.
 Abili ty to understand importance of biogas, wind power, tidal power and their use as an
energy source.
Module Detailed content Hours
Prerequisite : Indian and global energy sources, conventional and
non-conventional energy sources, Importance of natural energy
conservation and management.
1 Solar photovoltaic system : Photovoltaic effect, Efficiency of solar
cells, Semiconductor materials for, solar cells, Solar photovoltaic
system and its instrumentation, Standards of solar photovoltaic
system, Applications o f PV system, PV hybrid system. 06
2 Biogas : Photosynthesis, Bio gas production Aerobic and anaerobic
bio-conversion process, Raw materials, Properties of bio gas,
Producer gas, Transportation of bio gas, bio gas plant technology &
status, Community biogas plants, Problems involved in bio gas
production, Bio gas process instrumentation and applications,
Biomass conversion techniques, Biomass gasification, Energy
recovery from urban waste, Power generation from liquid waste,
Biomass cogeneration, Energy pla ntation. 10
3 Wind energy : Properties of wind, Availability of wind energy in
India, wind velocity, Wind machine fundamentals, Types of wind
machines and their characteristics, Horizontal and Vertical axis
wind mills, Elementary design principles, Coefficient of performance
of a wind mill rotor, Aerodynamic considerations in wind mill
design, Selection of a wind mill, Wind en ergy farms, Recent
development. 10
4 Tidal power: Tides and waves as sources of energy, Fundamentals of
tidal power, Use of tidal energy, Limitations of t idal energy
conversion systems. 06
5 Geothermal energy: Structure of earth‘s interior, geothermal sites, 08

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25 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
earthquakes & volcanoes, Geothermal resources , Principal of
working, Types of geothermal station with schematic represen tation,
Problems associated with geothermal conversion.
6 Ocean energy: Principle of ocean thermal energy conversion, Wave
energy conversion machines, Power plants based on ocean energy,
Problems associated with ocean thermal energy conversion
syste ms, Thermoelectric OTEC, Developments of OTEC 08

Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules) and the other is
either a class test or assignment on live problems or co urse project.

End Semester Examination: Some guidelines for setting the question papers are as, six questions
to be set each of 20 marks, out of these any four questions to be
attempted by students. Minimum 80% syllabus should be covered
in question paper s of end semester examination.

References:

1. Bansal Keemann, Meliss, " Renewable energy sources and conversion technology", Tata
McGraw Hill , 1990 .
2. Kothari D.P., ―Renewable energy resources and emerging technologies‖, Prentice Hall of
India Pvt. Ltd.
3. Asho k V. Desai, "Nonconventional Energy", New Age International Publishers Ltd.
4. P.K. Nag, "Power Plant Engineering ", Tata McGraw Hill, 2001.
5. R. K. Jain, "Mechani cal and Industrial Measurements ", Kha nna Publishers, New Delhi, 1995.
6. E.Al. Wakil, "Power Plant Eng ineeri ng", Tata McGraw Hill, 1984.
7. R.K. Rajput , ―Non -Conventional Energy Sources and Utilisation‖, S.Chand Publication,
2012.
8. G.D. Rai, ―Non -conventional Energy Sources‖, Khanna Publication, 2004.
9. Sukhatme, ― Solar Energy: Principles of Thermal Collection and Storage‖, Tata McGraw -Hill
Publication, 2008.

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26 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
Subject Code Subject Name Credits
ISDLO 1015 ADVANCED ANALYTICAL INSTRUMENTATION 04
Course Objectives :
 To introduce the basic concept of qualitative and quantitative analysis of a given sample .
 To study various spectroscopic techniques and its instrumentation.
 To study the concept of separation science and its applications.
 To study the concept of industrial analytical instrumentation with application.
Course Outcomes :
 Able to get versed wi th the principle, construction an d working of various analytical
instruments.
 Demonstrate the applications of analytical t echniques in medicine, industry , air monitoring
etc.
 Expose to air pollution monitoring and measurement.
 Ability to motiv ate them with various methods of spectroscopy and its application.
Module Detailed content Hours
Prerequisite : Introduction to chemical analysis, Classical and
Instrumental methods, Classification of Instrumental techniques,
Important considerations in e valuating an instrumental method.
1 Spectrophotometric /Gas Analysers: IR/NIR/UV/VIS Analysers,
Cells, Detectors, Signal Processing, Calibration, Minimization of
Interference and Comparative Analysis of Analysers & Gaseous
components detected Hydrocarbon Analysers, Flame Ionisation
Detectors, Principle of Operation, Oxygen and NO/NO2
Analysers, Signal Processing, Calibration, Minimization of
Interference, Applications, Sampling Systems, Desirable Features,
Filters, Flow and Pressure regulat ors, Coolers, Condensers,
Vacuum Pumps, Blowback Cleaning System, Exhaust Practices. 10
2 Compositional Process Analyser : Gas and Liquid Chromatography,
Columns, Gas and liquid detectors, Data processing, Process
chromatograph, calibration and applicati on, Mass Spectrometry
components, Different types of Sampling systems, Calibration and
applications. 08
3 Environmental P ollution Monitoring Instruments : Air pollution
monitoring instruments: Representation of gas concentrations, Types
and concentration o f various gas pollutants, Instrumental Technique
and measurement range. Carbon Monoxide: Non -dispersive Infrared
analyzer, Gas chromatography, Sulphur Dioxide: Colorimetric,
Conductivity meter, Gas Chromatography, Coulometry, Flame
photometric detector, Ul traviolet fluorescence method. 08
4 Nuclear Magnetic Resonance Spectroscopy : Principle of operation,
components, sensitivity enhancement techniques and different types 06

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27 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
of NMR Spectrometers with applications.
5 Radiochemical Instruments and Nuclear Pul se Spectroscopy :
Radiation detectors, Principle of operation, Constructional details,
Calibration and applications, Nuclear Spectroscopy, Instrumentation
techniques, Signal processing and electronics of nuclear
spectroscopy, Pulse height analyser and va rious nuclear detectors. 08

6 Process Analytica l Instrumentation in Industry : In-process
Sampling, In -process Analysis: Flow injection analysis,
Spectroscopic analysis, Separation Analysis, Imaging Analysis,
Electrochemical Analysis, Laboratory Integrate d Management
System . 08

Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules) and the other is
either a class test or assignment on live problems or course project.

End Semester Examination: Some guidelines for setting the question papers are as, six questions
to be set each of 20 marks, out of these any four questions to be
attempted by students. Minimum 80% syllabus should be covered
in question papers of end semester examinati on.

References:
1. B. G. Liptak, ―Instrument Engineers‘ Handbook: Process Measurement and Analysis‖,
Butterworth Hieneman, Boston, 1995.
2. D.M. Considine, ―Process Instruments and Control Handbook‖, 4th edition, McGraw Hill
New York, 1993.
3. K. J. Clevett, ―Pro cess Analyser Technology‖, John Wiley & Sons, New York,1986 .
4. G. K. Macmillan, ―pH Measurement and Control‖, ISA 1994.
5. pH and Conductivity – Book 13 Fisher Rosemount Educational Services.
6. R.E. Sherman, ―Analytical Instrumentation‖, TWI Press, Indiana, 1996.
7. Gillian McMahon ―Analytical Instrumentation: A Guide to Laboratory, Portab le and
miniaturized Instruments ‖, John Wiley and sons , 2007 .
8. Willard, Merritt, Dean and Settle, "Instrumental Methods of Analysis ", 7th editi on, (CBS
publishers, New Delhi) 2001.
9. Galen W. Ewing, "Instrumental Methods of Chemical Analysis ", 5th edition, (McGraw -Hill
Book Company) , 1985 .

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28 University of Mumbai, Instrumentation Engineering, Rev 2016 -17

Subject Code Subject Name Credits
ISDLO 1016 FAULT TOLERANT CONTROL 04
Course Objectives :
 To familiarize concept of fault detection and iso lation of industrial processes and systems,
additionally to fault tolerant control with a special emphasis to model based techniques .
 To explain the basic concept of fault detection systems .
 To facilitate the concept of fault diagnosis systems .

Course Out comes :
 Ability to design fault tolerant controllers for given processes .
 Ability to select appropriate fault detection method for the given system .
 Ability to implement fault -tolerant control systems for a simple industrial process .
Module Detailed conten t Hours
Prerequisite : Review of Faults, Diagnosis, approaches, structures,
estimators. Concept of its control.
1 Introduction : Types of faults and different tasks of Fault Diagnosis
and Implementation - Different approaches to FDD: Model free and
Model based approaches. 06
2 Analytical Redundancy Concepts : Mathematical representation of
Faults and Disturbances: Additive and Multiplicative types –
Residual Generation: Detection, Isolation, Computational and
stability properties – Design of Residual gene rator – Residual
specification and Implementation. 08
3 Design of Structured Residuals & Directional Structured
Residuals : Introduction - Residual structure of single fault Isolation:
Structural and Canonical structures - Residual structure of multiple
fault Isolation: Diagonal and Full Row canonical concepts –
Introduction to parity equation implementation and alternative
representation - Directional Specifications: Directional specification
with and without disturbances – Parity Equation Implementation. 10
4 Fault Diagnosis Using State Estimators : Introduction – State
Observer – State Estimators – Norms based residual evaluation and
threshold computation -Statistical methods based residual evaluation
and threshold settings: Generalized Likelihood Ratio App roach –
Marginalized Likelihood Ratio Approach. 08
5 Fault Tolerant Control : Introduction – Passive Fault -tolerant
Control - Active Fault tolerant Control – Actuator and Sensor Fault
tolerance Principles: - Compensation for actuator – Sensor Fault
tolerant Control Design – Fault -tolerant Control Architecture - Fault -
tolerant c ontrol design against major actuator failures. 08
6 Case Studies : Fault tolerant Control of Three -tank System –
Diagnosis and Fault -tolerant control of chemical process – 08

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29 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
supervision o f steam generator – Different types of faults in Control
valves – Automatic detection, quantification and compensation of
valve stiction.


Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on mi nimum 02 Modules) and the other is
either a class test or assignment on live problems or course project.

End Semester Examination: Some guidelines for setting the question papers are as, six questions
to be set each of 20 marks, out of these any four questions to be
attempted by students. Minimum 80% syllabus should be covered
in question papers of end semester examination.

References:
1. Steven X. Ding, ― Model based Fault Diagnosis Techniques: Schemes, Algorithms, and
Tools‖ , Springer Publication, 2008.
2. Rolf Isermann, ― Fault -Diagnosis Systems an Introduction from Fault Detection to Fault
Tolerance‖ , Springer Verlag, 2006.
3. Hassan Noura, Didier Theilliol, Jean -Christophe Ponsart, Abbas Chamseddine, ― Fault -
Tolerant Control Systems: Design and Practical Applications‖ , Springer Publication, 2009.
4. Mogens Blanke, ― Diagnosis and Fault -Tolerant Control‖ , Springer, 2003.
5. Ali AhammadShoukatChoudhury, Sirish L. Shah, Nina F. Thornhill, ― Diagnosis of Process
Nonlinearities and Valve Stiction: Data Driven Approach es‖, Springer, 2008.
6. Janos J. Gertler, ― Fault Detection and Diagnosis in Engineering systems‖ 2nd Edition, 1998 .

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30 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
Subject Code Subject Name Credits
ILO1011 PRODUCT LIFE CYCLE M ANAGEMENT 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
developing a product
4. To familiarize the students with Virtu al Product Development
Outcomes: Learner will be able to…
1. Gain knowledge 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 produc ts.
3. Apply product engineering guidelines / thumb rules in designing products for moulding,
machining, sheet metal working etc.
4. Acquire knowledge in applying virtual product development tools for components, machining
and manufacturing plant

Module Detai led 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 12
02 Product Design: Product Design and Development Process, Engineering
Design, Organization and Decomposition in Product Design, Typologies of
Design Process Models, Reference Model, Product Design in the Context of the
Product Devel opment 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 Engineerin g and Life Cycle Approach,
New Product Development (NPD) and Strategies, Product Configuration and
Variant Management, The Design for X System, Objective Properties and
Design for X Tools, Choice of Design for X Tools and Their Use in the Design
Process 09
03 Product Data Management (PDM): Product and Product Data, PDM systems
and importance, Components of PDM, Reason for implementing a PDM system,
financial justification of PDM, barriers to PDM implementation 06
04 Virtual Product Development Tools: For c omponents, machines, and
manufacturing plants, 3D CAD systems and realistic rendering techniques,
Digital mock -up, Model building, Model analysis, Modeling and simulations in
Product Design, Examples/Case studies 06

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31 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
05 Integration of Environmental Aspects in Product Design: Sustainable
Development, Design for Environment, Need for Life Cycle Environmental
Strategies, Useful Life Extension Strategies, End -of-Life Strategies, Introduction
of Environmental Strategies into the Design Process, Life Cycle Enviro nmental
Strategies and Considerations for Product Design 06
06 Life Cycle Assessment and Life Cycle Cost Analysis: Properties, and
Framework of Life Cycle Assessment, Phases of LCA in ISO Standards, Fields
of Application and Limitations of Life Cycle Asse ssment, Cost Analysis and the
Life Cycle Approach, General Framework for LCCA, Evolution of Models for
Product Life Cycle Cost Analysis 06

Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on minim um 02 Modules) and the other is
either a class test or assignment on live problems or course project.

End Semester Examination: Some guidelines for setting the question papers are as, six questions
to be set each of 20 marks, out of these any four questio ns to be
attempted by students. 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. John Stark, ―Product Lifecycle Management: Paradigm for 21st Century Product Realisation‖,
Springer -Verlag, 2004. ISBN: 1852338105
2. Fabio Giudice, Guido La Rosa, Antonino Risitano, ―Product Design for the environment -A
life cycle appro ach‖, Taylor & Francis 2006, ISBN: 0849327229
3. Saaksvuori Antti, Immonen Anselmie, ―Product Life Cycle Management‖, Springer,
Dreamtech, ISBN: 3540257314
4. Michael Grieve, ―Product Lifecycle Management: Driving the next generation of lean
thinking‖, Tata McG raw Hill, 2006, ISBN: 0070636265

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32 University of Mumbai, Instrumentation Engineering, Rev 2016 -17

Subject Code Subject Name Credits
ILO1012 RELIABILITY ENGINEER ING 03

Objectives:
 To familiarize the students with various aspects of probability theory
 To acquaint the students with reliability and its concepts
 To i ntroduce the students to methods of estimating the system reliability of simple and
complex systems
 To understand the various aspects of Maintainability, Availability and FMEA procedure
Outcomes: Learner will be able to…
 Understand and apply the concept of Probability to engineering problems
 Apply various reliability concepts to calculate different reliability parameters
 Estimate the system reliability of simple and complex systems
 Carry out a Failure Mode Effect and Criticality Analysis


Module Detailed C ontents 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. 10
02 Reliability Concepts: Reliability definitions, Importance of Reliability, Quality
Assurance and Reliabil ity, 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, Linearly increasing, Time
Dependent Failure Rate, Weibull Mo del. Distribution functions and reliability
analysis. 10
03 System Reliability: System Configurations: Series, parallel, mixed
configuration, k out of n structure, Complex systems. 05
04 Reliability Improvement: Redundancy Techniques: Element redundancy, Unit
redundancy, Standby redundancies. Markov analysis. System Reliability
Analysis – Enumeration method, Cut -set method, Success Path method,
Decomposition method. 10
05 Maintainability and Availability: System downtime, Design for
Maintainability: Main tenance requirements, Design methods: Fault Isolation and
self-diagnostics, Parts standardization and Interchangeability, Modularization
and Accessibility, Repair Vs Replacement. Availability – qualitative aspects. 05
06 Failure Mode, Effects and Critical ity Analysis: Failure mode effects analysis,
severity/criticality analysis, FMECA examples. Fault tree construction, basic
symbols, development of functional reliability block diagram, Fau1t tree
analysis and Event tree Analysis 05

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33 University of Mumbai, Instrumentation Engineering, Rev 2016 -17





Assessment:

Inter nal: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules) and the other is
either a class test or assignment on live problems or course project.

End Semester Examination: Some guidelines for setting th e question papers are as, six questions
to be set each of 20 marks, out of these any four questions to be
attempted by students. Minimum 80% syllabus should be covered
in question papers of end semester examination. In question
paper weightage of each modu le 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 modu le 3 then
part (b) will be from any module other than module 3)
4. Only Four 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 E ngineering‖, Tata McGraw Hill.
3. B.S. Dhillion, C. Singh, ―Engineering Reliability‖, 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 Publishing Co. Ltd.

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34 University of Mumbai, Instrumentation Engineering, Rev 2016 -17

Subject Code Subject Name Credits
ILO1013 MANAGEMENT INFORMATI ON SYSTEM 03
Objectives:
 The course is blend of Management and Technical field.
 Discuss the ro les played by information technology in today‘s business and define various
technology architectures on which information systems are built
 Define and analyze typical functional information systems and identify how they meet the
needs of the firm to delive r efficiency and competitive advantage
 Identify the basic steps in systems development
 Define and analyze various MIS management responsibilities, including planning, budgeting,
project management, and personnel management
 Discuss critical ethical and soci al issues in information systems
Outcomes: Learner will be able to…
 Explain how information systems Transform Business
 Identify the impact information systems have on an organization
 Describe IT infrastructure and its components and its current trends
 Unde rstand the principal tools and technologies for accessing information from databases to
improve business performance and decision making
 Identify the types of systems used for enterprise -wide knowledge management and how they
provide value for businesses

Module Detailed Contents Hrs
01 Introduction To Information Systems (IS): Computer Based Information
Systems, Impact of IT on organizations, Importance of IS to Society.
Organizational Strategy, Competitive Advantages and IS. 7
02 Data and Knowledge Man agement: Database Approach, Big Data, Data
warehouse and Data Marts, Knowledge Management.
Business intelligence (BI): Managers and Decision Making, BI for Data analysis
and Presenting Results 9
03 Ethical issues and Privacy: Information Security. Threa t to IS, and Security
Controls 6
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, Per vasive 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 Syst em development
life cycle models. 10

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35 University of Mumbai, Instrumentation Engineering, Rev 2016 -17





Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules) and the other is
either a class test or assignment on live problems or course proje ct.

End Semester Examination: Some guidelines for setting the question papers are as, six questions
to be set each of 20 marks, out of these any four questions to be
attempted by students. Minimum 80% syllabus should be covered
in question papers of end s emester 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 mix ed 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. Management Information Systems: Kelly Rainer, Brad Prince by Wiley
2. Management Information Systems: Managing the Digital Firm
(10th Edition). K.C. Laudon
and J.P. Laudon, Prentice Hall, 2007.
3. Managing Information Systems: Strategy and Organization, D. Boddy, A. Boonstra, Prentice
Hall, 2008

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36 University of Mumbai, Instrumentation Engineering, Rev 2016 -17

Subject Code Subject Name Credits
ILO1014 DESIGN OF EXPERIMENT S 03

Objectives:
 To understand the issues and principles of Design of Experiments (DOE).
 To list the guidelines for designing experiments.
 To become familiar with methodologies that can be used in conjunction with e xperimental
designs for robustness and optimization

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

Module Detailed Contents Hrs
01 Introduction: Strategy of Experimentation , Typical Applications of Experimental
Design , Guidelines for Designing Experiments , Response Surface Methodology . 06
02 Fitting Regre ssion Models : Linear Regression Models , Estimation of the
Parameters in Linear Regression Models , Hypothesis Testing in Multiple Regression ,
Confidence Intervals in Multiple Regression , Prediction of new response observation ,
Regression model diagnostics , Testing for lack of fit . 08
03 Two -Level Factorial Designs : The 22Design , The 23 Design , The General 2k
Design , A Single Replicate of the 2kDesign , The Addition of Center Points to the
2kDesign, Blocking in the 2kFactorial Design , Split -Plot Designs . 07
04 Two -Level Fractional Factorial Designs : The One -Half Fraction of the 2k
Design , The One -Quarter Fraction of the 2k Design , The General 2k-p Fractional
Factorial Design , Resolution III Designs , Resolution IV and V Designs ,
Fractional Factorial Split -Plot Designs . 07
05 Conducting Tests: Testing Logistics, Statistical aspects of conducting tests,
Characteristics of good and bad data sets, Example experiments, Attribute Vs
Variable data sets. 07
06 Taguchi Approach : Crossed Array Designs and Signal -to-Noise Ratios, Analysis
Methods, Robust design examples . 04

Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules) and the other is
either a class test or assignment on live probl ems or course project.

End Semester Examination: Some guidelines for setting the question papers are as, six questions
to be set each of 20 marks, out of these any four questions to be
attempted by students. Minimum 80% syllabus should be covered

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37 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
in quest ion 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. Raymond H. Mayers, Douglas C. Montgomery, Christine M. Ande rson-Cook, Response
Surface Methodology: Process and Product Optimization using Designed Experiment, 3rd
edition, John Wiley & Sons, New York, 2001
2. D.C. Montgomery, Design and Analysis of Experiments, 5th edition, John Wiley & Sons,
New York, 2001
3. Georg e 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 Scintists, 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. Philip J Ross, ―Taguchi Technique for Quality Engineering,‖ McGraw Hill.
7. Madhav S Phadake, ―Quality Engineering using Robust Design,‖ Prentice Hall.

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38 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
Subject Code Subject Name Credits
ILO1015 OPERATIONS RESEARCH 03

Objectives:
 Formulate a real -world problem as a mathematical programming model.
 Understand the mathematical tools that are needed to solve optimization problems.
 Use mathematical software to solve the proposed models.
Outcomes: Learner will be able to…
 Understand the theoretical workings of the simplex method for linear programming and
perform iterations of it by hand.
 Understand the relationship between a linear program and its dual, includin g strong duality
and complementary slackness.
 Perform sensitivity analysis to determine the direction and magnitude of change of a model‘s
optimal solution as the data change.
 Solve specialized linear programming problems like the transportation and assi gnment
problems.
 Solve network models like the shortest path, minimum spanning tree, and maximum flow
problems.
 Understand the applications of, basic methods for, and challenges in integer programming
 Model a dynamic system as a queuing model and compute important performance measures

Module Detailed Contents Hrs
01 Introduction to Operations Research : Introduction, Historical Background,
Scope of Operations Research , Features of Operations Research, Phases of
Operations Research, Types of Operations R esearch Models, Operations
Research Methodology, Operations Research Techniques and Tools , Structure
of the Mathematical Model, Limitations of Operations Research 02
02 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 Sla ckness Theorem,
Main Duality Theorem, Dual Simplex Method, Sensitivity Analysis 06
03 Transportation Problem : Formulation, solution, unbalanced Transportation
problem. Finding basic feasible solutions – Northwest corner rule, least cost
method and Vogel‘ 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 Salesman Problem 06
04 Integer Programming Problem : Introduction, Types of Integer Programming
Problems, Gomory‘s cutting plane Algorithm, Branch and Bound Technique .
Introduction to Decomp osition algorithms. 06

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39 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
05 Queuing models : queuing systems and structures, single server and multi -server
models, Poisson input, exponential service, constant rate service, finite and
infinite population 06
06 Simulation : Introduction, Methodology of Simu lation, Basic Concepts,
Simulation Procedure, Application of Simulation Monte -Carlo Method:
Introduction, Monte -Carlo Simulation, Applications of Simulation, Advantages
of Simulation, Limitations of Simulation 04
07 Dynamic programming . Characteristics o f dynamic programming. Dynamic
programming approach for Priority Management employment smoothening,
capital budgeting, Stage Coach/Shortest Path, cargo loading and Reliability
problems. 04
08 Games Theory . Competitive games, rectangular game, saddle point , minimax
(maximin) method of optimal strategies, value of the game. Solution of games
with saddle points, dominance principle. Rectangular games without saddle
point – mixed strategy for 2 X 2 games. 04
09 Inventory Models : Classical EOQ Models, EOQ Mode l with Price Breaks,
EOQ with Shortage, Probabilistic EOQ Model, 04

Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules) and the other is
either a class test or assignment on li ve problems or course project.

End Semester Examination: Some guidelines for setting the question papers are as, six questions
to be set each of 20 marks, out of these any four questions to be
attempted by students. 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. 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 Willey and Sons, 2nd Edition, 2009.

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40 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
3. Hiller, F. S. and Liebermann, G. J. "Introduction to Operations Research", Tata M cGraw 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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41 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
Subject Code Subject Name Credits
ILO1016 CYBER SE CURITY AND LAWS 03

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

Module Detailed Contents Hrs
01 Introduction to Cybercrime: Cybercrime definition and origins of the world,
Cybercrime and information security, Classifications of cybercrime, Cybercrime
and the
Indian ITA 2000, A global Perspective on cybercrimes. 4
02 Cyber o ffenses & Cybercrime: How criminal plan the attacks, Social Engg,
Cyber stalking, Cybercafé and Cybercrimes, Botnets, Attack vector, Cloud
computing, Proliferation of Mobile and Wireless Devices, Trends in Mobility,
Credit Card Frauds in
Mobile and Wireles s Computing Era, Security Challenges Posed by Mobile
Devices, Registry Settings for Mobile Devices, Authentication Service Security,
Attacks on Mobile/Cell Phones, Mobile Devices: Security Implications for
Organizations, Organizational Measures for Handlin g Mobile, Devices -Related
Security Issues, Organizational Security Policies and Measures in Mobile
Computing Era, Laptops 10
03 Tools and Methods Used in Cyberline: Phishing, Password Cracking, Key
loggers and Spywares, Virus and Worms, Steganography, 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 Intellectual Prop erty 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 8
06 Information Security Standard compliances: SOX, GLBA, HIPAA, ISO,
FISMA, NERC, PCI. 6

Assessment:

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42 University of Mumbai, Instrumentation Engineering, Rev 2016 -17

Interna l: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules) and the other is
either a class test or assignment on live problems or course project.

End Semester Examination: Some guidelines for setting the question papers are as, six questions
to be set each of 20 marks, out of these any four questions to be
attempted by students. 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. Nina Godbole, Sunit Belapure, Cyber Security , Wiley India, New Delhi
2. The Indian Cyber Law by Suresh T. Vishwanathan; Bharat Law House New Del hi
3. The Information technology Act, 2000; Bare Act - Professional Book Publishers, New Delhi.
4. Cyber Law & Cyber Crimes 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 , Cryptography and Network Security, Pearson Publication
8. Websites for more information is available on : The Information Technology ACT, 2008 -
TIFR : http s://www.tifrh.res.in
9. Website for more information , A Compliance Primer for IT professional :
https://www.sans.org/reading -room/whitepapers/compliance/compliance -primer -
professionals -33538

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43 University of Mumbai, Instrumentation Engineering, Rev 2016 -17

Subject Code Subject Name Credits
ILO1017 Disaster Manag ement and Mitigation Measures 03
Objectives:
 To understand the various types of disaster occurring around the world
 To identify extent and damaging capacity of a disaster
 To study and understand the means of losses and methods to overcome /minimize it.
 To understand role of individual and various organization during and after disaster
 To know warning systems, their implementation and based on this to initiate training to a
laymen
 To understand application of GIS in the field of disaster management
 To understand the emergency government response structures before, during and after disaster
Outcomes: Learner will be able to…
 Understand natural as well as manmade disaster and their extent and possible effects on the
economy.
 Planning of national importanc e structures based upon the previous history.
 Understand government policies, acts and various organizational structure associated with an
emergency.
 Know the simple do‘s and don‘ts in such extreme events and act accordingly.

Module Detailed Contents Hrs
01 Introduction: Definition of Disaster, hazard, global and Indian scenario,
general perspective, importance of study in human life, Direct and indirect
effects of disasters, long term effects of disasters. Introduction to global
warming and climate chan ge. 03
02 Natural Disaster and Manmade disasters : Natural Disaster: Meaning and
nature of natural disaster, Flood, Flash flood, drought, cloud burst,
Earthquake, Landslides, Avalanches, Volcanic eruptions, Mudflow, Cyclone,
Storm, Storm Surge, climat e change, global warming, sea level rise, ozone
depletion . Manmade Disasters: Chemical, Industrial, Nuclear and Fire Hazards.
Role of growing population and subsequent industrialization, urbanization and
changing lifestyle of human beings in frequent occu rrences of manmade
disasters. 06
03 Disaster Management, Policy and Administration: Disaster management:
meaning, concept, importance, objective of disaster management policy,
disaster risks in India, Paradigm shift in disaster management. Policy and
administration: Importance and principles of disaster management policies,
command and co -ordination of in disaster management, rescue operations -how
to start with and how to proceed in due course of time, study of flowchart
showing the entire process. 06
04 Institutional Framework for Disaster Management in India: Importance of
public awareness, Preparation and execution of emergency management
programme. Scope and responsibilities of National Institute of Disaster
Management (NIDM) and National disaste r management authority (NDMA) in
India. Methods and measures to avoid disasters, Management of casualties, set 06

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44 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
up of emergency facilities, importance of effective communication amongst
different agencies in such situations. Use of Internet and softwares f or effective
disaster management. Applications of GIS, Remote sensing and GPS in this
regard.
05 Financing Relief Measures : Ways to raise finance for relief expenditure, role
of government agencies and NGO‘s in this process, Legal aspects related to
finance raising as well as overall management of disasters. Various NGO‘s and
the works they have carried out in the past on the occurrence of various
disasters, Ways to approach these teams. International relief aid agencies and
their role in extreme eve nts. 09
05 Preventive and Mitigation Measures : Pre -disaster, during disaster and post -
disaster measures in some events in general, Structural mapping: Risk mapping,
assessment and analysis, sea walls and embankments, Bio shield, shelters, early
warning an d communication. Non Structural Mitigation: Community based
disaster preparedness, risk transfer and risk financing, capacity development
and training, awareness and education, contingency plans. Do‘s and don‘ts in
case of disasters and effective implement ation of relief aids. 06

Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules) and the other is
either a class test or assignment on live problems or course project.

End Semeste r Examination: Some guidelines for setting the question papers are as, six questions
to be set each of 20 marks, out of these any four questions to be
attempted by students. Minimum 80% syllabus should be covered
in question papers of end semester examinat ion. 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. ‗Disaster Management‘ by Harsh K.Gupta, Universities Press Publications.
2. ‗Disaster Management: A n Appraisal of Institutional Mechanisms in India‘ by O.S.Dagur,
published by Centre for land warfare studies, New Delhi, 2011.
3. ‗Introduction to International Disaster Management‘ by Damon Copolla, Butterworth
Heinemann Elseveir Publications.
4. ‗Disaster Mana gement Handbook‘ by Jack Pinkowski, CRC Press Taylor and Francis group.
5. ‗Disaster management & rehabilitation‘ by RajdeepDasgupta, Mittal Publications, New Delhi.

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45 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
6. ‗Natural Hazards and Disaster Management, Vulnerability and Mitigation – R B Singh,
Rawat Pu blications
7. Concepts and Techniques of GIS –C.P.Lo Albert, K.W. Yonng – Prentice Hall (India)
Publications.
(Learners are expected to refer reports published at national and International level and updated
information available on authentic web sites)

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46 University of Mumbai, Instrumentation Engineering, Rev 2016 -17

Subject Code Subject Name Credits
ILO1018 ENERGY AUDIT AND MAN AGEMENT 03

Objectives:
 To understand the importance energy security for sustainable development and the
fundamentals of energy conservation.
 To introduce performance evaluation criteria of v arious electrical and thermal installations to
facilitate the energy management
 To relate the data collected during performance evaluation of systems for identification of
energy saving opportunities.

Outcomes: Learner will be able to…
 To identify and d escribe present state of energy security and its importance.
 To identify and describe the basic principles and methodologies adopted in energy audit of an
utility.
 To describe the energy performance evaluation of some common electrical installations and
identify the energy saving opportunities.
 To describe the energy performance evaluation of some common thermal installations and
identify the energy saving opportunities
 To analyze the data collected during performance evaluation and recommend energy savin g
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 v arious forms,
Material 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 requi rement, 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 perio d, NPV, Return on
investment (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 appliances, 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

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47 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
04 Energy Management and Energy Conservation in Thermal Systems:
Review of different thermal loads; Energy conservation opportunities in: Steam
distribution system, Assessment of steam distribution 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, Capacity, factors affecting Refrigeration and Air Conditioning
system performance and savings opportunities. 10
05 Energy Performance Assessment: On site Performance evaluation techniques,
Case studies based on: Motors and variable speed drive, pumps, HVAC system
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 -Conven tional and
Renewable Energy Sources 03

Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules) and the other is
either a class test or assignment on live problems or course project .

End Semester Examination: Some guidelines for setting the question papers are as, six questions
to be set each of 20 marks, out of these any four questions to be
attempted by students. Minimum 80% syllabus should be covered
in question papers of end sem ester 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. 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 Institute (TERI).
5. Energy Manageme nt Principles, C.B.Smith, Pergamon Press
6. Energy Conservation Guidebook, Dale R. Patrick, S. Fardo, Ray E. Richardson, Fairmont

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48 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
Press
7. Handbook of Energy Audits, Albert Thumann, W. J. Younger, T. Niehus, CRC Press
8. www.energymanagertraining.com
9. www.bee -india.nic.in

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49 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
Subject Code Subject Name Credits
ISL101 LABORATORY -I 01
Courses Objectives:
 To provide adequate knowledge of mathematical computation in engineering
applications.
 To attain hands -on experience on different computational tools and software.
 To improve skill of student in engineering mathematics.
Courses Outcomes:
 Ability to use the computational tools effectively.
 Ability to select the method, analysis and optimize the given problem by mathematical
approach.
 Ability to define, illustrate and apply the concepts of random variables, probability
distributions.
 Apply programming skills and use mathematical software as a discovery tool and to
solve a real -world problem.
Expt . No. Title
1 Computation of Eigen values, Eigen vectors, norms and their mathematical
operations using standard computing tools .
2 LQ and QR decomposition methods for system performance using computational
tools.
3 Gram – Schmidt orthonormalization using computational tools.
4 Write a C -program to find solution of algebraic equation using Gauss -Jordan
method, Gauss -Seidal method.
5 Use computing tools to find solution of algebraic equation using Gauss elimination
method, Newton -Raphson method.
6 Case study on Ritz and Kantorov ich method for higher order systems.
7 Engineering application based case study on Probability.
8 Multidisciplinary application of integral transforms.
NOTE: Perform any six experiments from above list and two experiments from Department Elective
Course .
Term work: Term work consists of performing 08 practical mentioned as above. Final certification
and acceptance of the term work ensures satisfactory performance of laboratory work
Assessment:
End Semester Examination: Practical/Oral examination is to be conducted by pair of internal and
external examiners .

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50 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
Subject Code Subject Name Credits
ISL102 LABORATORY -II 01

Course Objectives:
 To provide adequate knowledge of design and implementation of control systems.
 To provide students with hands -on experie nce to apply their practical knowledge in designing,
testing and simulation of any instrumentation and process control system.
 To provide practical experience to the students in simulation software and real time
interfacing with process control application s.
Course Outcomes:
 Ability to design signal conditioning circuit for any given sensor.
 Ability to simulate process control loop using simulation tools and software like LabVIEW /
MATLAB.
 Ability to interface hardware and software tools for analysis and op timization.
 Ability to find out mathematical model of any given real time system.
Expt. No. Title
1 Microcontroller based temperature/ strain/ vibration measurement system.
2 PC based temp erature / level/ flow/ measurement system.
3 Hardware -In- Loop (HIL) simulation of PC based data acquisition and control.
4 LabVIEW based data logger and analysis.
5 Speed and Position control of servo motor using MATLAB / Lab VIEW.
6 Modeling of simple process using system identification technique.
7 Tank level control simulation in Lab VIEW.
8 Real time testing performance of different tuning methods of PID.

NOTE: Perform any six experiments from above list and two experiments f rom Department Elective
Course .
Term work: Term work consists of performing 08 practical mentioned as above. Final certification
and acceptance of the term work ensures satisfactory performance of laboratory work
Assessment:
End Semester Examination: Pract ical/Oral examination is to be conducted by pair of internal and
external examiners .

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51 University of Mumbai, Instrumentation Engineering, Rev 2016 -17

Subject Code Subject Name Credits
ISC201 MODERN CONTROL THEORY 04
Course Objectives :
 To develop the skills needed to represent the system in state space form.
 To impart knowledge required to design state feedback controller and state estimator.
 To impart knowledge and skills needed to classify singular points and construct phase
trajectory using delta and isocline methods.
 To make the students understand the concep ts of stability and introduce techniques to assess
the stability of certain class of non -linear system.
 To make the students understand the various non -linear behaviors such as Limit cycles, input
multiplicity and output multiplicity.
Course Outcomes :
 Ability to represent the time -invariant systems in state space form as well as to analyze,
whether the system is stabilizable, controllable, observable and detectable.
 Ability to design state feedback controller and state estimator.
 Ability to classify sin gular points and construct phase trajectory using delta and isocline
methods.
 Ability to use the techniques such as describing function, Lyapunov Stability, Popov‘s
Stability Criterion and Circle Criterion to assess the stability of certain class of non -linear
system.
 Ability to describe non -linear behaviors such as Limit cycles, input multiplicity and output
multiplicity.
Module Detailed content Hours

Prerequisite : Introduction, basic materials in state s pace analysis,
transfer matrix, State equations for dynamic systems, State equations
using phase, physical and canonical variables, realization of transfer
matrices, Minimal realization.
1 State Space Approach of continuous time systems : Review of state
model for systems, Non uniqueness of state mode l, Role of Eigen
values and Eigen vectors, State transition matrix and its properties,
free and forced responses, State Diagrams, minimal realization,
balanced realization. 08
2 Controllability and Observability : Canonical Realizations, Duality,
Decomposition of Uncontrollable and Unobservable realizations,
Popov test. Effect of state feedback on controllability and
observability, Design of State Feedback Control through Pole
placement. Full order observer and reduced order observer 08
3 State spa ce analysis of discr ete time systems : Discretization of State
equations for dynamic systems, State equations using phase, physical
and canonical variables, realization of transfer matrices, Minimal
realization, Solution of state equation, stability. 10

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52 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
4 Non-Linear Systems : Types of Non -Linearity, Typical Examples: –
Singular Points, Phase plane analysis (analytical and graphical
methods), Limit cycles, Equivalent Linearization, Describing
Function , Analysis, Derivation of describing functions for d ifferent
non-linear elements . 06
5 Stability of Non -Linear Systems : Stability concepts, Equilibrium
points, BIBO and Asymptotic stability, Stability Analysis by DF
method, Lyapunov Stability Criteria, Krasovskil‘s method , Variable
Gradient Method , Popov‘s Stability Criterion, Circle Criterion. 08
6 Non Linear Control Analysis : Mathematical preliminaries from point
set toplogy, Euler -Lagrange equations of motion, Equilibrium points,
Linearization, State -space formulation, Second -order systems, Phase -
portra it, Limit cycle, Lyapunov stability . 08

Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules) and the other is
either a class test or assignment on live problems or course projec t.

End Semester Examination: Some guidelines for setting the question papers are as, six questions
to be set each of 20 marks, out of these any four questions to be
attempted by students. Minimum 80% syllabus should be covered
in question papers of end se mester examination.

References:

1. M. Gopal , "Modern Control System Theory", New Age International Publishers, 2nd edition,
1996
2. D.E.Kirk, ―Optimal Control Theory‖, Prentice -Hall. 1970.
3. M. Vidyasagar, ―Nonlinear Systems Analysis‖. 2nd Edition.Prentice Hal l, 1993.
4. K. Ogata " Modern Control Enginee ring" , Prentice Hall of India, 3rd edition, 1998
5. I.J. Nagarath and M.Gopal ―Control Systems Engineering‖, , New Age International (P)
6. M. Gopal," Contr ol and State Variable Methods" , Tata McGraw -Hill Companies, 1997.
7. ―Systems and Control‖ by Stainslaw H. Zak , Oxford Press, 2003
8. K.Ogata, "Modern Control Engineering ", Prentice Hall, Fifth Edition, 2012.
9. M.Gopal, "Digital Control and State Variable Methods: Conventional and Intelligent Control
Systems ", Third Edition, Tata Mc -Graw Hill, 2009.
10. Ogata, K., "Discrete -Time Control Systems ", 2/e, Prentice Hall of India.
11. Datta, B.N., "Numerical Methods for Linear Control Systems ", Elsevier, 2004.
12. Chen C. T., "Linear Systems: Theory & Design". Oxford University Press New Yor k, 1999.
13. Goodwin , Graebe S F & Salgado M E, "Control System Design", Prentice hall of India,
Delhi.2002.
14. M.Gopal, "Digital Control and State Variable Method", Tata -McGrow Hill, Delhi,19 98.

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53 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
Subject Code Subject Name Credits
ISC202 APPLIED INSTRUMENTATIO N FOR PROCESS
INDUSTRIES 04

Course Objectives :
 To educate students with instrumentation involved in all the industrial processes.
 To familiarize the students with the various unit operations and be able to apply control
schemes to these processes to get the output with desired specifications.
 To expose students with hazards in industry and designing of safe plant .

Course Outcomes :
 Able to build complete strategies for process control application .
 Ability to get acquainted with all the industrial proces ses and demonstrate their knowledge in
designing the con trol loops for these processes.
 Able to inculcate the safety related terms such as classification of haza rds in the industry and
design h azard free plant.
Module Detailed content Hours
Prerequisite : Early Instrument Development, Instrumentat ion today,
Preparing for now, Looking to the future.
1 Introduction : Industry and Instrumentation: Developments and Trends,
classifications and use of Instruments Control of Process. Control
defined, Response of detecting element, Measuring Method,
Controllers, Final control Element, Other Element, Indicators,
Recorders, Transducers or Convertors, Alarm and shutdown functions. 04
2 Petroleum Industry : The petroleum industry and instrumentation,
Toppi ng unit instrumentation, Off-site instrumentation.
Iron - and Steel -Industry : Overview of instrumentation in the iron· -
and steelmaking process, Blast furnace instrumentation, Continuous
casting equipment instrumentation, Instrumentation for an electrolytic
galvanizing line. 10
3 Waterworks Instrumentation Applications : Overview of waterworks
facilities, Water treatment -related detectors, Filtration equipment
instrumentation, Chemical injection equipment instrumentation,
Instrumentation for water -supply and distribution facilities, An
integrated control system for large -scale, wide -area waterworks
facilities, Water distribution information management system,
Wastewater treatment instrumentation. 10
4 Food Processing Industry : Overview Food Processing Industr y,
Whiskey distillery instrumentation, Sugar refinery instrumentation.
Paper Manufacturing Industry : Overview of an integrated paper mill,
Pulp plant instrumentation, Instrumentation applied to the papermaking
process. 10
5 Automobile Industry : Overview o f automobile industry
instrumentation, Production management at a painting factory, Storage 10

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54 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
control.
Power Industry : Overview Power Industry, Thermal power plants,
Power plant system control, Nuclear power plant overview, Pressurized
water reactor control system.
6 Product Control in Batch Processing
Batch process recipe management, Batch process control, Recipe
management and operation methods 04

Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules) and the other is
either a class test or assignment on live problems or course project.

End Semester Examination: Some guidelines for setting the question papers are as, six questions
to be set each of 20 marks, out of these any fo ur questions to be
attempted by students. Minimum 80% syllabus should be covered
in question papers of end semester examination.

References:

1. Tasuku Senbon, Futoshi Hanabuchi, ―Instrumentation Systems: Fundamentals and
Applications ‖, 1st Edition, Springe r-Verlag, Berlin Heidelberg GmbH , 1991 .
2. William G. Andrew, H. B. Williams, ―Applied Instrumentation in the Process Industries:
Engineering Data and Resource Material‖, Volume III, Second Edition, Gulf Publishing
Company, 19 93.
3. Bela G. Liptak, ―Instrumentat ion in the processing industries‖ , 1st edition, 1973 .
4. Uttam Ray Chaudhuri, ―Fundamentals of Petroleum and Petrochemical Engineering‖, 2010.

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55 University of Mumbai, Instrumentation Engineering, Rev 2016 -17

Subject Code Subject Name Credits
ISC203 INDUSTRIAL AUTOMATION 04

Course Objectives :
 To brief students with origin and evolution of industrial automation.
 To train them with architecture and operation of latest automation tools like PLC, DCS, and
SCADA.
 To facilitate them for design ing automation system for industrial applications.
 Develop techniq ue for preparation of various documents required for automation projects and
design requirement of safe plant.
Course Outcomes :
 Ability to select suitable component for design automation system for industrial application.
 Able to design industrial plants with automation tools.
 Capable to demonstrate the a pplication of i nformation gained by the students for projects in
their professional activities.
 Ability to use concept s of safety while designing plant and automation system.

Module Detailed content Hours
Prerequisite : Fundamental of Process Control. Plant and factory
automation. Traditional controller and advanced tools like -PLC,
SCADA and DCS. Safety systems.
1 Introduction : Fundamentals of Industrial Automation, Need and role
of Automation, Evoluti on of Automation, Elements of process control
loop, Current Trends, Automation Strategy evolution, Control system
audit, Automation Tools and strategies and their location in plant. 04
2 Programmable Logic Controller :
PLC Hardware: Types of Processes and Specifications. PLC
Memory and Power supply calculation with redundancy consideration.
Interface to Hydraulic/Pneumatic circuits. Choosing PLC for
application.
PLC Programming: Development of Relay Logic Ladder Diagram,
Introduction to PLC Programming, Programming devices and
languages as per IEC 61131 -3 like IL, ST, FBD, CFC, SFC,PLC
Timers and Counters. Advanced PLC instructions, PID Control using
PLC, safety PLC. 08
3 Distributed control system : DCS Introduction, Location of DCS in
Plant, functions, ad vantages and limitations, Comparison of DCS with
PLC, DCS components/ block diagram, Architecture, Functional
requirements at each level, Database management. Layout of DCS,
Controller Details, Redundancy, I/O Card Details, Junction Box and 10

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56 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
Marshalling Cab inets, Operator Interface, Workstation Layout,
different types of control panels, types of Operating Station,
Programming as per IEC 61131 -3, Advantages, Overview of
Programming Languages, Device Signal Tags, Configuration,
Programming for Live Process, Se lection of DCS, DCS plant layout.
4 SCADA and HMI : SCADA Concept of SCADA systems,
Programming techniques for : Creation of pages, Sequencing of pages,
Creating graphics & animation, Dynamos programming with variables,
Trending, Historical data storage & Reporting, Alarm management,
reportingof events and parameters. HMI types, Interfacing with PLC.
Wireless SCADA System. 08
5 Communication Protocols : Open and proprietary protocol -advantages
and disadvantages, wireless HART, Fieldbus -functions, hardwar e
selection, Segment design and checking for safe and hazardous area,
advantages and disadvantages, installation, documentation and
economics . Wireless communication protocol. 10
6 Design of Safe Plant: Advanced Intrinsic safety - Entity concept,
FISCO, H igh power trunk, Dynamic arc recognition and termination
technology with advantages and disadvantages. Safety Instrumented
System - Components, technologies, SIL calculation methods, SIL -
calculation of PFD, RRF etc. Phases of SIS overall implementation and
reliability. 08

Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules) and the other is
either a class test or assignment on live problems or course project.

End Semester Examina tion: Some guidelines for setting the question papers are as, six questions
to be set each of 20 marks, out of these any four questions to be
attempted by students. Minimum 80% syllabus should be covered
in question papers of end semester examination.

Reference s:
1. Terry Borden, Richard A. Cox, ―Technician's Guide to Programmable Controllers‖, Delmar
Cengage Learning, 27 -Jan-2012.
2. Bela G Liptak, ―Instrument Engineer‘s Handbook – Process Software and Digital Network‖,
CRC Press, 2005.
3. Dobrivojie Popovic, Vij ay Bhatkar, ―Distributed Computer Control for Industrial
Automation‖, CRC Press, 1990.
4. Gary A. Dunning, ―Introduction to Programmable Logic Controllers‖, Third Edition, 2005.
5. Luis A. Bryan, E. A. Bryan, ―Programmable Controllers: Theory and Implementation‖ ,
Second Edition, American Technical Publishers, Incorporated, 2002.
6. John W. Webb, Ronald A. Reis, ―Programmable Logic Controllers: Principles and
Applications‖, Fifth Edition, Prentice Hall, 2003.

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57 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
7. Paul Gruhn, Harry L C heddie, ― Safety Instrumented System: Design, Analysis and
justification‖, ISA, 2nd edition, 2006.
8. Ian Verhappen, Augsto Periria, ―Foundation F ieldbus‖, ISA,2006
9. Stuart A. Boyer, ―SCADA supervisory control and data acquisition‖, ISA Publication , 1993 .
10. Jonas Berge ―Fieldbuses for Process Contr ol: Engineering, Operation, and Maintenance‖, ISA
Publication, 2002.
11. Thomas Hughes, ―Programmable Logic Controller‖, ISA Publication , 2005 .

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58 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
Subject Code Subject Name Credits
ISDLO 2021 FRACTIONAL ORDER MODELING AND CO NTROL 04
Course Objectives :
 To explain concept of fractional - order modeling and control.
 Familarize with mathematical basis of fractional calculus: Gamma function, Mittag -Leffler
function, Dawson‘s function, Hypergeometric function, etc.
 To create awa reness for designing of fractional order systems in physical world .
 To expand knowledge about d esign of fractional controller using different methods and tools.
Course Outcomes :
 Ability to apply the concept of fractional o rder systems .
 Able to inculcate Fractional Calculus and Fractional -order Differential Equations.
 Able to demonstrate modeling of fractional order systems in physical world.
 Able to design fractional order controller.
Module Detailed content Hours
Prerequisite: Basic linear control sys tems theory, el ementary linear
algebra, linear differential equations, complex analysis. Familiarization
with computing tools.
1 Fractional Calculus : Definitions of integer -order (IO) derivatives and
integrals and their geometric and physical interpretat ions, Definition of
Riemann -Liouville (RL) integration, fractional derivatives (FDs) of RL,
Caputo and Grunwald -Letnikov (GL). Various geometrical and physical
interpretations of these FDs, Computation of these FDs for some basic
functions like constant, s ine, cosine, ramp, exponential etc., Laplace and
Fourier transforms of FDs. 05
2 Fractional -order Differential Equations : Study of Special Functions of
the Fractional Calculus like Gamma function, Mittag -Leffler function,
Dawson‘s function, Hypergeometric function, etc, Analysis of linear
fractional -order differential equations (FDEs): formulation, Solution with
different FDs, Initial conditions, Problem of initialization and the remedies. 07
3 Fractional -order Modelling : Concepts of ‗memory‘ and ‗non -locality‘ in
real world and engineering systems, non -exponential relaxation, ‗Mittag -
Leffler‘ type decay and rise. Detailed analysis of fractional -order (FO)
modeling of: electrical circuit elements like inductor, capacitor, dielectric
relaxation and transmis sion lines, FO modeling of viscoelastic materials,
concept of fractional damping, Models of basic circuits and mechanical
systems using FO elements, Concept of anomalous diffusion, non -Gaussian
probability density function and the development of correspond ing FO
model. 10
4 Linear Fractional -order Systems : Review of basic concepts of complex
analysis, Concepts of multivalued functions, branch points, branch cuts,
Riemann surface and sheets, Fractional -order transfer function (FOTF)
representation, Concepts like commensurate and non -commensurate TFs, 08

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59 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
stability, impulse, step and ramp response, Frequency response, non -
minimum phase systems, Root locus, FO pseudo state -space (PSS)
representation and the associated concepts like solution of PSS model,
controlla bility, observability, etc.
5 Fractional -order Control : Detailed discussion and analysis of superiority
of FO control over the conventional IO control in terms of closed -loop
performance, robustness, stability, etc., FO lead -lag compensators, FO PID
control, design of FO state -feedback, Realization and implementation
issues for FO controllers, survey of various realization methods and the
comparative study. 10
6 Computational and Symbolic Algebra Software’s for Fractional
Calculus and FO Control : Primer on MATLAB and Mathematica,
Computation of FDs using MATLAB, Analytical expressions for FDs
using Mathematica, Use of Mittag -Leffler functions and various special
functions in MATLAB, Analysis of system of non -linear FDEs using these
softwares, Use of simulink in analysis of FO systems and control. 08

Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules) and the other is
either a class test or assignment on live problems or c ourse project.

End Semester Examination: Some guidelines for setting the question papers are as, six questions
to be set each of 20 marks, out of these any four questions to be
attempted by students. Minimum 80% syllabus should be covered
in question pape rs of end semester examination.

Reference s:
1. K. B. Oldham and J. Spanier. ―The Fractional Calculus‖. Dover Publications, USA, 2006.
2. A. A. Kilbas, H. M. Srivastava, and J. J. Trujillo, ―Theory and Applications of Fractional
Differential Equations‖.
Elsevier, Netherlands, 2006.
3. I. Podlubny, ―Fractional Differential Equations‖. Academic Press, USA, 1999.
4. C. A. Monje, Y. Q. Chen, B. M. Vinagre, D. Xue, and V. Feliu, ―Fractional -order Systems and
Control:
Fundamentals and Applications‖ Springer -Verlag Londo n Limited, UK, 2010.
5. R. Caponetto, G. Dongola, L. Fortuna, and I. Petras, ―Fractional Order Systems: Modeling and
Control
Applications‖, World Scientific, Singapore, 2010.
6. K. S. Miller and B. Ross, ―An Introduction to the Fractional Calculu s and Fractional
Differential Equations‖, John Wiley & Sons, USA, 1993.
7. S. Das ―Functional Fractional Calculus for System Identification and Controls‖, Springer,
Germany, 2011.
8. M. D. Ortigueira, ―Fractional Calculus for Scientists and Engineers‖, Springer , Germany,
2011.

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60 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
9. Petras, ―Fractional -Order Nonlinear Systems: Modelling, Analysis and Simulation‖, Springer,
USA, 2011.
10. W. R. LePage, ―Complex Variables and the Laplace Transform for Engineers‖, Dover
Publications, USA, 2010.
11. H. Ruskeepaa, ― Mathematica Na vigator: Mathematics, Statistics and Graphics‖, Academic
Press, USA, 2009.

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61 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
Subject Code Subject Name Credits
ISDLO 2022 ADVANCED NUCLEAR INSTRUMENTATION 04

Course Objectives :
 To explain fundamentals of nuclear r eactions and their principles.
 To create awareness of nuclear reactors for operation and safety.
 To familiarize the concepts of various radiation detectors and its classification.
 To train them with nuclear study in research and medical field.

Course Outc omes :
 Demonstrate importance of nuclear energy, different instrumentation techniques for reactor
control.
 Ability to g et well versed with construction and working of various radiation detectors.
 Develop knowledge of electronics and counting systems used in advanced nuclear
instrumentation.
 To advance with information about applications of nuclear instrumentation in various fields
such as medicine, industry and research.
Module Detailed content Hours
Prerequisite: Basics of nuclear energy, radioactivity , properties of alpha,
beta and gamma rays, radioactivity laws, Isotopes and isobars, various
effects of radioactivity, safety standards, nuclear waste disposal system.
1 Radiation Detectors: Properties of Radiation Detectors, Modes of
Detector operation , Pulse height spectra, Counting curves & plateaus,
Energy resolution, Detection efficiency, Scintillation detectors, Solid state
detectors Ge(Li), Si(Li) detectors 06
2 Instrumentation for Reactor: Log and linear amplifiers, Neutron
detector, Boron trifl uoride detector (BF3), Fission Counters, Basic control
concepts of PWR, Reactor power control for a PWR, Turbine control,
Steam generators, Volume and boron concentration control systems,
Reactor pressure control,Basic control concept of BWR, Reactivity
parameters in a BWR core, BWR control concepts, BWR control systems,
Pressure and turbine speed control, Control of the vessel‘s water level,
Core power control, Control rod control, other control systems, Self-power
detectors. 10
3 Neutron Detection and S pectroscopy: Fast neutron detection methods -
Counters based on neutron moderation, Detectors based on fast neutron
induced reactions, Detectors that utilize fast neutron scattering, Slow
neutron detection methods - Nuclear reactions of interest in neutron
detection, Detectors based on boron reaction, Detectors based on other
conversion reactions, Reactor instrumentation, Liquid Scintillation
Counting systems, Noise reduction by coincidence detection technique. 08

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62 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
4 Nuclear Instrumentation for Research: Radi ation detectors for high
resolution nuclear pulse spectroscopy, HPGE, high resolution Multi
Channel Analyzers, Nuclear ADCs, Wilkinson, Gatti‘s sliding scale
technique, various modes of Multi -Channel Analyser , portable
spectroscopy systems and their design . Timing spectroscopy, TDCs,
TACs, spectrum stabilization. Instrumentation for accelerators, Detection
of cosmic events, detector arrays. 10
5 Nuclear Medical Instrumentation: Functional imaging, Design and
Construction of Imaging Systems, Scintillation Camera, PET, SPECT
systems, SPECT/PET Hybrid Systems, Calibrations and testing of various
nuclear instruments and systems. 06
6 Reactor Safety Systems: Emergency coolant injection, Containment,
Dousing system, Containment isolation control, Heavy -water le ak
detection, failed fuel detection system, Design requirements - Redundancy,
physical separation, diversity and failure to safety, Environmental
influences, safety instrumented systems. 08

Assessment:

Internal: Assessment consists of two tests out of wh ich; one should be
compulsory class test (on minimum 02 Modules) and the other is
either a class test or assignment on live problems or course project.

End Semester Examination: Some guidelines for setting the question papers are as, six questions
to be s et each of 20 marks, out of these any four questions to be
attempted by students. Minimum 80% syllabus should be covered
in question papers of end semester examination.

Reference s:
1. G.F.Knoll, ―Radiation detection and measurement‖, John Wiely and Sons, 4t h edition, 2010 .
2. P.W. Nicolson, ―Nuclear electronics‖, John Wiely,1998.
3. Gerald. J.Hine, James A Sorenson, ―Instrumentation in nucl ear Medicine‖, Vol II, Academic
Press, 1974
4. Ramesh Chandra, ―Nuclear Medicine Physics‖, Williams and Wilkins, 1998.
5. Irving Kap lan, ―Nuclear Physics‖, Narosa Publishing House.1992 .
6. Technical Reports Series No.239, ―A Guidebook Nuclear Power Plant Instrumentation And
Control‖ International Atomic Energy Agency, Vienna, 1984.
7. B.R.Bairi, Balvinder Singh, N.C. Rathod, P.V. Narurkar, ―Hand Book of Nuclear Medical
Instruments‖, TMH Publishing, New Delhi, 1974.
8. Hidekazu Yoshikawa , Zhijian Zhang , ―Progress of Nuclear Safety for Symbiosis and
Sustainability‖, Springer Japan, 2014.
9. Yoshiaki Oka , ―Nuc lear Reactor Design‖, volume 2, Springer Japan, 2014 .
10. Yoshiaki Oka, Seiichi Koshizuka, Yuki Ishiwatari, AkifumiYamaji, ―Super Light Water
Reactors and Super -Fast Reactors‖, Springer US, 2010.

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63 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
Subject Code Subject Name Credits
ISDLO 2023 WAVELETS AND APPLICATIONS 04

Course Objectives :
 To impart the impo rtance of wavelets
 To explain the fundamentals of wavelet theory
 To familiarize with the most commonly used wavelets
 To create awareness of s election procedure of wavelets
 To familiarize with the construction of different types of wavelets

Course Outcomes :
 Able to develop concepts of using wavelets for various signal processing applications.
 Inculcate concepts, theory and algorithms behind wavelets from an interdisciplinary
perspective and able to make use of wavelets for various applications.
 Ability t o apply wavelets for digital signal processing and other multimedia signal processing
subjects.

Module Detailed content Hours
Prerequisite: Review of Fourier Transform, Parseval Theorem and need
for joint time -frequency Analysis. Concepts of non -station ary signals,
Short time Fourier transform (STFT), Uncertainty Principle, Localization /
Isolation in time and frequency , Hilbert Spaces, Banach Spaces and
Fundamentals of Hilbert Transform.
1 Introduction: Daubechies Wavelet Bases, Daubechies compactly
supported family of wavelets,Daubechies filter coefficient calculations,
Case study of Daub -4 filter design, Connection between Haar and Daub -4,
Concept of Regularity, Vanishing moments. Other classes of wavelets like
Shannon, Meyer, Battle -Lamarie. 06
2 Continuous Wavelet Transform: Continuous time frequency
representation of signals, The Windowed Fourier Transform, Uncertainty
Principle and time frequency tiling, Wavelets, specifications, admissibility
conditions, Continuous wavelet transform, CWT as a co rrelation, CWT as
an operator, Inverse CWT. 10
3 Discrete wavelet Transform: Approximations of vectors in nested linear
vector spaces, Example of an MRA, Formal definition of MRA,
Construction of genera orthonormal MRA, a Wavelet basis for MRA,
Digital fi ltering interpretations Decomposition and Reconstruction filters,
examples of orthogonal basis generating wavelets, Interpreting
orthonormal MRA for Discrete time signals, Mallat algorithm Filter bank
implementation of DWT 10
4 Orthogonal Wavelets: Orthog onality in vector space, Orthogonal wavelet
bases, Signal representation using Orthogonal wavelet system, advantages
of orthogonal wavelets, orthogonal analysis and synthesis, Filter bank 06

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64 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
implementation, Constructing Orthonormal Wavelet Bases, Lapped
Ortho gonal Transforms.
5 Alternative wavelet representations Biorthogonal Wavelets:
Biorthogonality in vector space, biorthogonal wavelet bases, signal
representation using biorthogonal wavelet system, advantages of
biorthogonal wavelets, biorthogonal analy sis and synthesis, Filter bank
implementation, Two dimensional Wavelets, filter bank implementation of
two dimensional wavelet transform. Lifting scheme: Wavelet Transform
using polyphase matrix factorization, Geometrical foundations of the
lifting scheme, lifting scheme in the z -domain, mathematical preliminaries
for polyphase factorization , Dealing with Signal Boundary. 10
6 Applications: Image Compression: EZW Coding, SPIHT, Wavelet
Difference Reduction Compression Algorithm, Denoising, speckle
removal, edge detection and object isolation, audio compression,
communication applications – scaling functions as signaling pulses,
Discrete Wavelet Multi -tone Modulation.
06

Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules) and the other is
either a class test or assignment on live problems or course project.

End Semester Examination: Some guidelines for setting the question papers are as, six questions
to be set each of 20 marks, out of these any four questions to be
attempted by students. Minimum 80% syllabus should be covered
in question papers of end semester examination.

Reference s:
1. Stephen G. Mallat, ―A wavelet tour of signal processing‖, 2nd Edition Academic Press, 2000.
2. M. Vetterli, J. Kovacevic, ―Wavelets and subband coding‖, Prentice Hall Inc, 1995
3. Gilbert Strang and Truong Q. Nguyen, ―Wavelets and filter banks‖, 2nd Edition Wellesley -
Cambridge Press,1998.
4. Gerald Kaiser, ―A friendly guide to wavelets‖, Birkhauser/Spri nger International Edition,
1994, Indian reprint 2005.
5. L. Prasad and S. S. Iyengar, ―Wavelet analysis with applications to image processing‖, CRC
Press, 1997.
6. J. C. Goswami and A. K. Chan, ―Fundamentals of wavelets: Theory, Algorithms and
Applications‖, Wi ley-Interscience Publication, John Wiley & Sons Inc., 1999.
7. Mark A. Pinsky, ―Introduction to Fourier Analysis and Wavelets‖, Brooks/Cole Series in
Advanced Mathematics, 2002.
8. Raghuveer Rao and Ajit Bopardikar, ―Wavelet Transforms: Introduction to Theory an d
Applications‖, Pearson Education, 1998.
9. K P Soman, K I Ramchandran, "Insight Into Wavelets - From Theory to Practice", PHI
publication (2nd edition), Prentice Hall of India, 2010.

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65 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
10. R. Gonzalez, R. Woods , ― Digital Image Processing ‖, 3rd Edition , Pearson Education , 2008.
11. P. P. Vaidyanathan , ―Multirate Systems and Filter Banks‖, Pearson Education, 1993.
12. Jayaraman , ―Digital Image Processing‖, Tata McGraw -Hill Education, 2011.
13. Rafael C. Gonzalez , Richard E. Woods, Steven L. Eddins, ―Digital Image Processing Using
MATLAB‖ , 2nd edition, Gatesmark Publishing, 2009.

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66 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
Subject Code Subject Name Credits
ISDLO 2024 SOFT COMPUTING TECHNI QUES 04
Course Objectives :
 To familiarize with soft computing concepts.
 To teach about the concept of fuzziness involved in various systems.
 To expose the ideas about genetic algorithm.
 To provide adequate knowledge about of FLC and NN toolbox.
 To innova te many real world control problems.

Course Outcomes:
 Ability to apply the knowledge of basic neural networks paradigms.
 Demonstrate the basic concepts of training in neural networks.
 Able to apply the techniques for identification and control of the no nlinear processes.
 Able to inculcate adequate knowledge about Genetic a lgorithm.
 Able to implement Hybrid Control system.
Module Detailed content Hours
Prerequisite: Introduction of soft computing - soft computing vs. hard
computing , various types of sof t computing techniques, and applications
of soft computing. Biological Neural Networks, Neuron Physiology,
Fuzzy sets and Basic notions.
1 Neural System : Artificial Neuron Model, Operations of Artificial
Neuron, Types of Neuron Activation Function, ANN A rchitectures,
Classification Taxonomy of ANN - Connectivity, Neural Dynamics
(Activation and Synaptic), Learning Strategy (Supervised, Unsupervised,
and Reinforcement ), Learning Rules, and Multilayer feed forward Neural
Networks. 08
2 Artificial Neural Ne tworks : Counter propagation network - architecture -
functioning & characteristics of counter Propagation network -Hopfield/
Recurrent network - configuration - stability constraints associative
memory - and characteristics - limitations and applications - Hopfiel d v/s
Boltzman machine - Adaptive Resonance Theory - Architecture -
classifications Implementation and training -Associative M emory. 08
3 Fuzzy logic systems : Introduction to crisp sets and fuzzy sets - basic
fuzzy set operation and approximate reasoning. cris p relations, fuzzy
relations. Introduction to fuzzy logic modeling and control -
Fuzzification, inferencing and defuzzification -Fuzzy knowledge and rule
bases -Fuzzy modeling and control schemes for nonlinear systems. Self-
organizing fuzzy logic control - Fuzzy logic control f or nonlinear time
delay system. 10
4 Genetic Algorithm : Basic concept of Genetic algorithm and detail
algorithmic steps -adjustment of free Parameters - Solution of typical
control problems using genetic algorithm - Concept on some other s earch 08

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67 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
techniques like tabu search and ant colony search techniques for solving
optimization problems.
5 Hybrid Control : Genetic Algorithm, Neuro -Fuzz y, Fuzzy -GA and
Neuro -Fuzzy -GA based hybrid system design. 06
6 Applications : Case Studies of Neural n etwork : Pattern recognition,
control and Process Monitoring, fault diagnosis and load forecasting.
Case studies of Fuzzy logic : Greg viot's fuzzy cruise controller, Air
conditioner controller.
System identification, design and implementation of linear and nonlin ear
control systems using computing tools such as NN, GA and Fuzzy logic. 08

Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules) and the other is
either a class tes t or assignment on live problems or course project.

End Semester Examination: Some guidelines for setting the question papers are as, six questions
to be set each of 20 marks, out of these any four questions to be
attempted by students. Minimum 80% syllab us should be covered
in question papers of end semester examination.

References:
1. Devendra K. Chaturvedi, ―Soft Computing Techniques and its Applications in Electrical
Engineering,‖ Vol. 103, Studies in Computational Intelligence , Springer, 2008.
2. Hagan, Demuth, Beale - Thomas Learning , ―Neural Network Design,‖ Vikas Publishing
House.
3. Jacek M. Zuarda, ― Introduction to Artificial Neural Systems,‖ Jaico Publis hing House, 1997.
4. Rajasekharan and Rai , ―Neural Networks, Fuzzy logic, Genetic algorithms: synthesis and
applications,‖ PHI Publication.
5. S.N. Sivanandan and S.N. Deepa, ―Principles of Soft Computing,‖ Wiley India, 2007.
6. N. Yadaiah and S. BapiRaju, ―Neur al and Fuzzy Systems: Foundation, Architectures and
Applications,‖ Pearson Education.
7. James A Freeman and Davis Skapura, ―Neural Networks,‖ Pearson, 2002.
8. J.S.R.Jang, C.T.Sun and E.Mizutani, ―Neuro -Fuzzy and Soft Computing,‖ Pearson Education,
PHI, 2004.
9. S. Rajasekaran and G.A.V.Pai, ―Neural Networks, Fuzzy Logic and Genetic Algorithms,‖
PHI, 2003.

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68 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
Subject Code Subject Name Credits
ISDLO 2025 INSTRUMENTATION FOR ENVIRONMENTAL ANALYSIS 04

Course Objectives:

 To teach the origin and evolution of environmental science.
 To familiarize with the environmental problems and their solutions .
 To train students with the concepts of environmental monitoring and its significance .
Course Outcome:

 Able to apply concepts of environmental balance management .
 Demonstrate different types of pollution and their causes.
 Ability to create awareness of d ifferent instrumentation techniques for solutions of
natural life cycle problems.
 Able to i mplement various strategies for pollution control and environmental balance .

Module Detailed Content Hours
Pre-requisite: Bio-diversity, Earth's Natural Cycles (Rock, Carbon,
Water, Nitrogen) , importance of air, water, sound , soil in nature balance,
cycle of seasons and their balance.
1 Environmental m anagement : Definition of Environment, Earth, Man and
Environment, Evolution of environment, Necessity of instrumentation &
control for environment, sensor requirement for Envi ronment. Scope for
instrumentation in environmental management, basic concepts of
sustainable development, industrial ecology and recycling industry. 08
2 Air Pollution : Natural and anthropogenic sources of pollution, importance
of air pollution control, Air monitoring: measurement of ambient air
quality.air pollution from thermal power plant, their characteristics &
control, Instrumentation for air pollution control and HVAC systems 08
3 Water Pollution : Types of sources and consequences of water polluti on,
Analysis of water quality, standards, Instrumentation for sewage and waste
water treatment (UV, H 2O2, Ozonization) and recycling, Measurement
techniques for water quality and standards. 08
4 Thermal pollution : Definition and sources, Chemical and biol ogical
effects of thermal pollution, Effect on marine life, bacteria and water
quality and other aquatic biota; Thermal pollution from power plants and
their control. 08
5 Oil Pollution and Electronic waste (E -waste) : Oil pollution and marine
ecology, so urces of oil pollution, factors effecting fate of oil after spillage
movement, spreading, evaporation, emulsification, dispersion, remote
sensing in water quality monitoring. Sources and types and constituents of
E-wastes and its environmental consequences . 08

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69 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
6 Noise Pollution : Measurement of sound, effects of noise pollution on
health, noise level standard in industrial, commercial, residential and
silence zones and respective control strategies.
Soil Pollution : Sources, nature, classification and enviro nmental effects.
Types, effects, sources and measurement of soil pollution, control
techniques, standards for soil quality. 08
Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules ) and the other is
either a class test or assignment on live problems or course project.

End Semester Examination: Some guidelines for setting the question papers are as, six questions
to be set each of 20 marks, out of these any four questions to be
attempted by students. Minimum 80% syllabus should be covered
in question papers of end semester examination.

References :
1. Randy D. Down, ―Environmental Instrumentation & Analysis Handbook‖, Wiley 2005 .
2. S.P. Mahajan, ―Pollution Control in Process Industries‖, Tata McGraw Hill, 1985 .
3. K.V.S.G. Murlikrishan, ―Air pollution and control‖, Laxmi Publication 2015 .
4. Lewis H. Bell, Douglas Bell, ―Industrial noise control‖ Marcel Dekker 1994 .
5. Howard S. Peavy, Donald R. Rowe, George Tchobanoglous, ―Environmental engineeri ng‖
MCGRAW -HILL, 1985.
6. Gilbert M. Masters, Wendell P. ―Introduction to environmental engineering and science‖,
Pearson
Prentice Hall, 2008.
7. Walter J. Weber , ―Physicochemical Processes: For Water Quality Control‖ Wiley; 1 edition
1972.

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70 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
Subject Code Subject Name Credits
ISDLO 2026 ROBOTICS AND AUTOMATION 04
Course Objectives :
 To motivate students with the various parts of robots and fields of robotics.
 To explain kinematics and inverse kinematics of robots.
 To expand concepts of Euler, L agrangian formulation of Robot dynamics.
 To design and formulate the trajectory planning for robot.
 To facilitate students with the control of robots for some specific applications.
Course Outcomes :
 Ability to demonstrate the concept of Robots and Robot Kinematics.
 Able to apply the Dynamics of Robots.
 Ability to develop the Robot Vision applications .
 Ability to expand the control of robots for some specific applications.
Module Detailed content Hours
Prerequisite: Components and mechanisms of Robotic system - Robotic
classifications - Introduction to Robot‘s kinematics - dynamics and
control.
1 Introduction and Robot Kinematics : Basic concepts of Robots and
automation - Classification -Specifications - Application Notation - Direct
Kinematics -Co-ordinate f rames -rotations - Homogeneous Coordinates -
The Arm equation - Kinematic analysis of a typical Robot -Inverse
Kinematics - Tool configuration - Inverse kinematics of a typical Robot -
Workspace analysis and trajectory planning - Work envelope of different
robots - The pick and place operation. 10
2 Dynamic of Robots : Continuous path motion -interpolated motion -
Straight line motion - Tool configuration Jacobian matrix and
manipulator Jacobian -Manipulator Dynamics - Kinetic of potential
energy -Energized forces - Lagrange ‘s Equation - Euler Dynamic model. 08
3 Robot Control : The control problem - State equation -Single axis PID
control -PD gravity control - Computed torque control - Variable
Structure control - Impedance control. 06
4 Robot Vision : Fundamentals of Robot applica tions -Robot vision -
Image representation - Template matching -polyhedral objects -Shape
analysis - Segmentation - Iterative processing -Robot cell design - Types
of applications -material handling applications - Machine loading and
unloading - Spot welding -arc weld ing- Spray painting. 10
5 Micro Robotics : Micro Robotics and MEMS -Fabrication technology
for micro robotics - Stability issues in legged robots - Under actuated
manipulators. 06
6 Mobile Robots and Control Issues : Industrial automation - General
layout -gene ral configuration of an automated flow line conveyor 08

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71 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
systems - Major feature - Types - Roller - State wheel - Belt- Chain and
Overhead Trolley -Inspection station with feedback loops to up steam
workstations - Shop floor control - 3 phases - Order scheduling.

Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules) and the other is
either a class test or assignment on live problems or course project.

End Semester Examination: Some guidel ines for setting the question papers are as, six questions
to be set each of 20 marks, out of these any four questions to be
attempted by students. Minimum 80% syllabus should be covered
in question papers of end semester examination.

References:
1. Klafter R.D., Chimielewski T.A., Negin M., "Robotic Engineering – An integrated approach ",
Prentice Hall of India, New Delhi, 3rd June 2016.
2. SaeedB .Niku, " Introduction to robotics - Analysis, Control, Applications ", 2nd Edition August ,
2010.
3. Reza N.Jazar, "Theory of Applied Robotics Kinematics, Dynamics and Control ", Springer,
Indian Reprint , 2010.
4. K.S. Fu , R. C. Gonzally, C.S. G. Lee, " Robotics Control, se nsing, Vision and Intelligence" ,
McGraw Hill Book Company, 2008.
5. Thomas R. Kurfess, " Robotics and Automation H andbook" , October 15, CRC Press , 2004.
6. Robert Joseph Schilling, " Fundamentals of Robotics: Analysis and Control" , Prentice Hall of
India Pvt. Ltd.,2002.
7. Mikell P. Groover, Mitchell Weiss, Rog er. N. Nagel, Nicholas G. Odrey, "Industrial Robotics
Technology Programming and Application" - McGraw Hill Book Company, 1987.

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72 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
Subject Code Subject Name Credits
ILO2021 PROJECT MANAGEMENT 03

Objectives:
 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.
 To appraise the students with the project management life cycle and make them
knowledgeable about the various phases from project initiation through closure .

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

Module Detailed Contents Hrs
01 Project Ma nagement 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 co nflicts. 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 strategically,
Project selection models (Numeric /Scori ng 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 Plann ing 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 budgeting,
Networking and Scheduling techniques. PERT, CP M, 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 Stakeholders and Communication plan. Risk
Management in project s: 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
05 Executing Projects: Planning monitoring and co ntrolling cycle. Information
needs and reporting, engaging with all stakeholders of the projects.
Team management, communication and project meetings. Monitoring and
Controlling Projects: Earned Value Management techniques for measuring 8

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73 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
value of work compl eted; Using milestones for measurement; change requests
and scope creep. Project audit. Project Contracting: Project procurement
management, contracting and outsourcing,
06 Project Leadership and Ethics: Introduction to project leadership, ethics in
projects. Multicultural and virtual projects. Closing the Project: Customer
acceptance; Reasons of project termination, Various types of project
terminations (Extinction, Addition, Integration, Starvation), Process of project
termination, completing a fina l report; doing a lessons learned analysis;
acknowledging successes and failures; Project management templates and other
resources; Managing without authority; Areas of further study. 6

Assessment:

Internal: Assessment consists of two tests out of whic h; one should be
compulsory class test (on minimum 02 Modules) and the other is
either a class test or assignment on live problems or course project.

End Semester Examination: Some guidelines for setting the question papers are as, six questions
to be set each of 20 marks, out of these any four questions to be
attempted by students. 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 l ecture 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. 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
Management Institute PA, USA
3. Gido Clements, Project Management, Cengage Learning.
4. Gopalan, Project Management, , Wiley India
5. Dennis Lock, Project Management, Gower Publishing England, 9 th Ed.

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74 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
Subject Code Subject Name Credits
ILO2022 FINANCE MANAGEMENT 03

Objectives:
1. Overview of Indian financial system, instruments and market
2. Basic concepts of value of money, returns and risks, corporate finance, working capital and its
management
3. Knowledge about sources of finance, capital structure, dividend policy
Outco mes: Learner will be able to…
1. Understand Indian finance 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,
Characteristics and Classification of Basic Financial Instruments — Equity
Shares, Preference Shares, Bonds -Debentures, Certificates of Deposit, and
Treasury Bills. Financial Markets: Meaning, Characteristi cs and Classification
of Financial Markets — Capital Market, Money Market and Foreign Currency
Market . Financial Institutions: Meaning, Characteristics and Classification of
Financial Institutions — Commercial Banks, Investment -Merchant Banks and
Stock Exc hanges 06
02 Concepts of Returns and Risks: Measurement 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 Decision, 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 Ratios; 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 Budgetin g Decisions; Investment Appraisal Criterion —Accounting 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 Manage ment: Concepts of Meaning Working Capital;
Importance of Working Capital Management; Factors Affecting an Entity‘s
Working Capital Needs; Estimation of Working Capital Requirements;
Management of Inventories; Management of Receivables; and Management of 10

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75 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
Cash and Marketable Securities.
05 Sources of Finance: 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 En tity‘s Capital Structure; Overview of
Capital Structure 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: Meaning 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 Appr oach 03


Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules) and the other is
either a class test or assignment on live problems or course project.

End Semester Examination: Some guidelines for setting the question papers are as, six questions
to be set each of 20 marks, out of these any four questions to be
attempted by students. 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 suppos ed 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 Management, 13th Edition (2015) by Eugene F. Brigham and Joel
F. Houston; 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 System, 9th Edition (2015) by M. Y. Khan; Publisher: McGraw Hill
Education, New De lhi.
4. Financial Management, 11th Edition (2015) by I. M. Pandey; Publisher: S. Chand (G/L) &
Company Limited, New Delhi.

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76 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
Subject Code Subject Name Credits
ILO2023 ENTERPRENEURSHIP DEV ELOPMENT AND
MANAGEMENT 03

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

Module Detailed Contents Hrs
01 Overview Of Entrepreneurship: Definitions, Roles and Functions/Values of
Entrepreneurship, History of Entrepreneurship Development, Role of
Entrepreneurship in th e National Economy, Functions of an Entrepreneur,
Entrepreneurship and Forms of Business Ownership
Role of Money and Capital Markets in Entrepreneurial Development:
Contribution 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 Financial Statements, Legal Section,
Insurance, Suppliers and Risks, Assumptions and Con clusion, Capital and its
Importance to the Entrepreneur
Entrepreneurship And Business Development: Starting a New Business,
Buying an Existing Business, New Product Development, Business Growth and
the Entrepreneur Law and its Relevance to Business Operat ions 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 lega l aspects ,
MSMED Act 2006 and its implications, schemes and policies of the Ministry of
MSME, role and responsibilities of various government organisations,
departments, banks etc., Role of State governments in terms of infrastructure
developments and sup port etc., Public private partnerships, National Skill
development Mission, Credit Guarantee Fund, PMEGP, discussions, group
exercises etc 08
05 Effective Management of Business: Issues and problems faced by micro and
small enterprises and effective manag ement of M and S enterprises (risk
management, credit availability, technology innovation, supply chain
management, linkage with large industries), exercises, e -Marketing 08
06 Achieving Success In The Small Business: Stages of the small business life 05

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77 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
cycle, four types of firm -level growth strategies, Options – harvesting or closing
small business Critical Success factors of small business


Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on mi nimum 02 Modules) and the other is
either a class test or assignment on live problems or course project.

End Semester Examination: Some guidelines for setting the question papers are as, six questions
to be set each of 20 marks, out of these any four questions to be
attempted by students. 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. Poornima Charantimath, 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, Entrepreneu rship Development, Sun India Publications, 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, Th omson Publication
10. Laghu Udyog Samachar
11. www.msme.gov.in
12. www.dcmesme.gov.in
13. www.msmetraining.gov.in

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78 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
Subject Code Subject Name Credits
ILO2024 HUMAN RESOURCE MANAG EMENT 03

Objectives:
 To introduce the students with basic concepts, techniques and p ractices of the human resource
management.
 To provide opportunity of learning Human resource Management (HRM) processes, related
with the functions, and challenges in the emerging perspective.
 To familiarize the students about the latest developments, tren ds & different aspects of HRM.
 To acquaint the student with the importance of behavioral skills, Inter - personal, inter - group
in an organizational setting.
 To prepare the students as future organizational change facilitators, stable leaders and
managers, using the knowledge and techniques of human resource management.

Outcomes: Learner will be able to…
 Gain knowledge and understand the concepts about the different aspects of the human
resource management.
 Understand and tackle the changes and challenges i n today‘s diverse, dynamic organizational
setting and culture.
 Utilize the behavioral skill sets learnt, in working with different people, teams & groups
within the national and global environment.
 Apply the acquired techniques, knowledge and integrate it within the engineering/ non
engineering working environment emerging as future engineers and managers.

Module Detailed Contents Hrs
01 Introduction to HR: Human Resource Management - Concept, Scope and
Importance, Interdisciplinary Approach Relationship w ith other Sciences,
Competencies of HR Manager, HRM functions. Human resource development
(HRD): changing role of HRM – Human resource Planning, Technological
change, Restructuring and rightsizing, Empowerment, TQM, Managing ethical
issues. 5
02 Organiza tional Behavior (OB) : Introduction to OB Origin, Nature and Scope
of Organizational Behavior, Relevance to Organizational Effectiveness and
Contemporary issues, Personality: Meaning and Determinants of Personality,
Personality development, Personality Typ es, 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 teams, Team Roles, cross functional and self -
directed team. Case study 7
03 Orga nizational Structure & Design : Structure, size, technology, Environment 6

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79 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
of organization; Organizational Roles & conflicts: Concept of roles; role
dynamics; role conflicts and stress. 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.
04 Human resource 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,
Environment, Cross Cultural Leadership and Decision Making : Cross Cultural
Communi cation 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 the modern business world, Concept of Strategy,
Strategic Management Proces s, Approaches to Strategic Decision Making;
Strategic Intent – Corporate Mission, Vision, Objectives and Goals
Labor Laws & Industrial Relations
Evolution of IR, IR issues in organizations, Overview of Labor Laws in India;
Industrial Disputes Act, Trade U nions Act, Shops and Establishments Act 10

Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules) and the other is
either a class test or assignment on live problems or course project.

End Semester Examination: Some guidelines for setting the question papers are as, six questions
to be set each of 20 marks, out of these any four questions to be
attempted by students. 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 mi xed 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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80 University of Mumbai, Instrumentation Engineering, Rev 2016 -17


REFERENCES:

1. Stephen Robbins, Organizational Behavior, 16th Ed, 2013
2. V S P Rao, Human Res ource 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. SubbaR ao, Essentials of Human Resource management and Industrial relations, 5th Ed,
2013, Himalaya Publishing
6. Laurie Mullins, Management & Organizational Behavior, Latest Ed, 2016, Pearson
Publications

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81 University of Mumbai, Instrumentation Engineering, Rev 2016 -17

Subject Code Subject Name Credits
ILO2025 PROFESSIONAL ETHICS AND C ORPORAT SOCIAL
RESONSIBILITY(CSR) 03

Objectives:
 To understand professional ethics in business
 To recognized corporate social responsibility
Outcomes: Learner will be able to…
 Understand rights and duties of business
 Distinguish different aspects of corporate social responsibility
 Demonstrate professional ethics
 Understand legal aspects of corporate social responsibility

Module Detailed Contents Hrs
01 Professional Ethics and Business: The Nature of Bus iness 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; Oligopolis tic 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 Business
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 (PP P) in
India 08
06 Corporate Social Responsibility in Globalizing India: Corporate Social
Responsibility Voluntary Guidelines, 2009 issued by the Ministry of Corporate
Affairs, Government 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 (on minimum 02 Modules) and the other is

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82 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
either a class test or assignment on live problems or course project.

End Semester Examinat ion: Some guidelines for setting the question papers are as, six questions
to be set each of 20 marks, out of these any four questions to be
attempted by students. Minimum 80% syllabus should be covered
in question papers of end semester examination. In qu estion
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 Indian Perspective (2013) by Ananda Das Gupta;
Publisher: Spr inger.
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 Edition (2011) by Manuel G. Velasquez; Publisher:
Pearson, New Delhi.
4. Corporate Social Responsibility in India (2015) by Bidyut Chakrabarty, Routledge, New
Delhi.

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83 University of Mumbai, Instrumentation Engineering, Rev 2016 -17

Subject Code Subject Name Credits
ILO2026 RESEARCH METHODOLOGY 03

Objectives:
 To understand Research and Research Process
 To acquai nt students with identifying problems for research and develop research strategies
 To familiarize students with the techniques of data collection, analysis of data and
interpretation
Outcomes: Learner will be able to…
 Prepare a preliminary research design for projects in their subject matter areas
 Accurately collect, analyze and report data
 Present complex data or situations clearly
 Review and analyze research findings
Module Detailed Contents Hrs
01 Introduction and Basic Research Concepts : Research – Definition; Concept of
Construct, Postulate, Proposition, Thesis, Hypothesis, Law, Principle. Research
methods vs Methodology, Need of Research in Business and Social Sciences ,
Objectives of Research, Issues and Problems in Research, Characteristics of
Research: Systematic, Valid, Verifiable, Empirical and Critical 10
02 Types of Research: Basic Research, Applied Research, Descriptive Research,
Analytical Research, Empirical Research, Qualitative and Quantitative
Approaches 08
03 Research Design and Sam ple Design : Research Design – Meaning, Types and
Significance, Sample Design – Meaning and Significance Essentials of a good
sampling Stages in Sample Design Sampling methods/techniques Sampling
Errors 08
04 Research Methodology : Meaning of Research Met hodology, Stages in
Scientific Research Process
a. Identification and Selection of Research Problem
b. Formulation of Research Problem
c. Review of Literature
d. Formulation of Hypothesis
e. Formulation of research Design
f. Sample Design
g. Data Collectio n
h. Data Analysis
i. Hypothesis testing and Interpretation of Data
j. Preparation of Research Report 08
05 Formulating Research Problem: Considerations: Relevance, Interest, Data
Availability, Choice of data, Analysis of data, Generalization and Interpre tation
of analysis 04
06 Outcome of Research: Preparation of the report on conclusion reached,
Validity Testing & Ethical Issues, Suggestions and Recommendation 04

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84 University of Mumbai, Instrumentation Engineering, Rev 2016 -17



Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules) and the other is
either a class test or assignment on live problems or course project.

End Semester Examination: Some guidelines for setting the question papers are as, six questions
to be set each of 20 marks, out of these any four questions to be
attempted by students. 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 me ntion 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
Distributors.
2. Kothari, C.R., 1985, Research Methodology -Methods and Techniques, New Delhi, Wiley
Eastern Limited.
3. Kumar, Ranjit, 2005, Research Methodology -A Step -by-Step Guide for Beginners, (2nded),
Singapore, Pearson Education

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85 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
Subject Code Subject Name Credits
ILO2027 IPR AND PATENTING 03

Objectives:
 To understand intellectual property rights protection sys tem
 To promote the knowledge of Intellectual Property Laws of India as well as International
treaty procedures
 To get acquaintance with Patent search and patent filing procedure and applications
Outcomes: Learner will be able to…
 understand Intellectual Pr operty assets
 assist individuals and organizations in capacity building
 work for development, promotion, protection, compliance, and enforcement of Intellectual
Property and Patenting
Module Detailed Contents Hr
01 Introduction to Intellectual Property Rights (IPR) : Meaning of IPR,
Different category of IPR instruments - Patents, Trademarks, Copyrights,
Industrial Designs, Plant variety protection, Geographical indications, Transfer
of technology etc.
Importance of IPR in Modern Global Economic Environ ment: Theories 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, Inter national
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 sign ed 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. 06
04 Basics of Patents: Definition of Patents, 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, Di sclosures and non -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 agreement, Paris convention etc.) 08
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 Publ icationetc, Time frame and
cost, Patent Licensing, Patent Infringement
Patent databases: Important websites, Searching international databases 07

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86 University of Mumbai, Instrumentation Engineering, Rev 2016 -17



Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on minimum 02 Modules) and the other is
either a class test or assignment on live problems or course project.

End Semester Examination: Some guidelines for setting the question papers are as, six questions
to be set each of 20 marks, out of these any fou r questions to be
attempted by students. 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.


REFERENCE BOOKS:

1. Rajkumar S. Adukia, 2007, A Handbook on Laws Relating to Intellectual Property Rights in
India, The Institute of Chartered Accountants of India
2. Keayla B K, Patent system and related issues at a glance, Published by Nationa l Working
Group on Patent Laws
3. T Sengupta, 2011, Intellectual Property Law in India, Kluwer Law International
4. Tzen Wong and Graham 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. LousHarns, 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 Property Rights, 1st Edition,
Excel Books
9. M Ashok Kumar andmohdIqbal Ali, 2 -11, Intellectual Property Rights, 2nd Edition, Serial
Public ations
10. KompalBansal and PraishitBansal, 2012, Fundamentals of IPR for Engineers, 1st Edition, BS
Publications

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87 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
11. Entrepreneurship Development and IPR Unit, BITS Pilani, 2007, A Manual on Intellectual
Property Rights,
12. Mathew Y Maa, 2009, Fundamentals of Paten ting and Licensing for Scientists and Engineers,
World Scientific Publishing Company
13. N S Rathore, S M Mathur, PritiMathur, AnshulRathi , IPR: Drafting,Interpretation of Patent
Specifications and Claims , New India Publishing Agency
14. Vivien Irish, 2005,Intelle ctual Property Rights for Engineers,IET
15. Howard B Rockman, 2004, Intellectual Property Law for Engineers and scientists, Wiley -
IEEE Press

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88 University of Mumbai, Instrumentation Engineering, Rev 2016 -17

Subject Code Subject Name Credits
ILO2028 PRODUCT LIFE CYCLE M ANAGEMENT 03

Objectives:
 To familiarize with d igital business concept
 To acquaint with E -commerce
 To give insights into E -business and its strategies

Outcomes: The learner will be able to …..
 Identify drivers of digital business
 Illustrate various approaches and techniques for E -business and managem ent
 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 eco nomy,
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 -Commerc e- 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, Intr a 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 Ap ps, 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, ryptography,
Public Key and Private Key Cryptography, Digital Signatures, Digital
Certificates, Security Protocols over Public Networks: HTTP, SSL, Firewall
as Security Control, Public Key Infrastructure (PKI) for Security, Prominent
Cryptographic Applications 06
5 E-Business Strategy -E-business Strategic formulation - Analysis of
Company‘s Internal and external environment, Selection of strategy,
E-business strategy into Action, challe nges and E -Transition
(Process of Digital Transformation) 04

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89 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
6 M Materializing e -business: From Idea to Realization -Business plan
preparation
Case Studies and presentations 08


Assessment:

Internal: Assessment consists of two tests out of which; one sh ould be
compulsory class test (on minimum 02 Modules) and the other is
either a class test or assignment on live problems or course project.

End Semester Examination: Some guidelines for setting the question papers are as, six questions
to be set each of 20 marks, out of these any four questions to be
attempted by students. 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 ho urs 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 mod ule 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 Business 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 Busin ess Innovation, Vinocenzo Morabito, 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 Governance
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 -en OECD
Publishing

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90 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
Subject Code Subject Name Credits
ILO2029 ENVIRONMENTAL MANAGE MENT 03

Objectives:
1. Understand and identify environmental issues relevant to India and global concerns
2. Learn concepts of ecology
3. Familiarise environme nt 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 Contents 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 con cerns : 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 living
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 Responsibility 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 (on minimum 02 Modules) and the other is
either a class test or assignment on live problems or course project.

End Semester Examination: Some guidel ines for setting the question papers are as, six questions
to be set each of 20 marks, out of these any four questions to be
attempted by students. Minimum 80% syllabus should be covered
in question papers of end semester examination. In question
paper wei ghtage of each module will be proportional to
number of respective lecture hours as mention in the syllabus.

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91 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
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. Environmental Management: Principles and Practice, C J Barrow, Routledge Publishers
London, 1999
2. A Handbook of Environmen tal Management Edited by Jon C. Lovett and David G. Ockwell,
Edward Elgar Publishing
3. Environmental Management, T V Ramachandra and Vijay Kulkarni, TERI Press
4. Indian Standard Environmental Management Systems — Requirements With Guidance For
Use, Bureau Of I ndian Standards, February 2005
5. Environmental Management: An Indian Perspective, S N Chary and Vinod Vyasulu, Maclillan
India, 2000
6. Introduction to Environmental Management, Mary K Theodore and Louise Theodore, CRC
Press
7. Environment and Ecology, Majid Hussa in, 3rd Ed. Access Publishing.2015

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92 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
Subject Code Subject Name Credits
ISL201 LABORATORY -III 01

Course Objective:
• To develop the skills needed to represent the system in state space form.
• To impart knowledge required to design state feedback controller and state estimator.
• To impart knowledge and skills needed to classify singular points and construct phase
trajectory using delta and isocline methods.
• To make the students understand the concepts of stability and introduce techn iques to assess
the stability of certain class of non -linear system.
• To make the students understand the various non -linear behaviors .

Course Outcome:
• Know the constructional details, principle of operation, and performance of different unit
operations an d their Instrumentation.
• Analyze dynamics of a linear system by solving system model/ equation or applying domain
transformation.
• Realize the structure of a discrete time system and model its action mathematically.
• Examine a system for its stability, cont rollability and observability .
• Apply knowledge of control theory for practical implementations in engineering and network
analysis .
Experiment
No. Title
1. Computation of co ntrollability and observability.
2.
2. Designing pole placement controller for so lar tracking system .
3. Design of full state observer for SISO/MIMO system.
4. Determine the stability of the system and construct the Lyapunov function for
wireless networks.
5. Stability determination using Variable Gradient method.
6. Extrimise andm inimize for determining the Equilibrium points using
EulersLagranges formula.
7. Case study: Application of modern control theory in power electronics/ systems/
power converter .
8. Construction of phase trajectory using delta and isocline methods.
9. Estimate the response of SISO / MIMO system using MATLAB .

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93 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
NOTE: Perform any six experiments from above list and two experiments from Department Elective
Course .

Term work: Term work consists of performing 08 practical mentioned as above. Final certifica tion
and acceptance of the term work ensures satisfactory performance of laboratory work

Assessment:
End Semester Examination: Practical/Oral examination is to be conducted by pair of internal and
external examiners .

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94 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
Subject Code Subject Name Credits
ISL202 LABORATORY -IV 01

Course Objective :
• To get the concept of industrial automation.
• To study different industrial applications using PLC and DCS.
• To get adequate knowledge about PLC , SCADA and DCS.
• Get knowledge of industrial communication.

Course Outcomes :
• Able to understand concept of Programmable logic controller (PLC) and develop
programming knowledge of PLC.
• Able to acquire knowledge of Distributed Control System (DCS), detail Engineering,
configuration and pr ogramming of DCS .
• Able to Interface PLC to Superviso ry Control and Data Acquisition Systems (SCADA) .
• Able to interface LabVIEW software with hardware for different applications .
• Acquainted with knowledge on basic industrial instrumentation .
• Able to carry o ut study of any Process Control plant .
Experiment
No. Title
1 Simulation of batch reactor control using PLC with GUI .
2 Simulation of paint manufacturing process using PLC with GUI .
3 Interfacing of PLC to any SCADA through Modbus protocol and/or OPC .
4 Simulation of Heat exchanger feedback control scheme using DCS.
5 Real time cascade control scheme using DCS .
6 Creating an analog –open l oop and digital loop using DCS.
7 Configure and implement different alarms in DCS system.
8 Simulation of boi lerdrum level control using DCS .
9 On-line monitoring and control using DCS .
10 Development of HM I using any SCADA package.
11 Case study on Industrial networking.
12 LabVIEW based remote tri ggered control of process loop.

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95 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
NOTE: Perform any si x experiments from above list and two experiments from Department Elective
Course .

Term work: Term work consists of performing 08 practical mentioned as above. Final certification
and acceptance of the term work ensures satisfactory performance of laborat ory work

Assessment:

End Semester Examination: Practical/Oral examination is to be conducted by pair of internal and
external examiners .

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96 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
Code Subject Name Credits
ISS301 SEMINAR 03


Guidelines for Seminar:
o Seminar should be based on thrust areas in Instrumentation Engineering.
o Students should undergo literature survey and identify the topic of seminar and finalize in
consultation with Guide/Supervisor. Students should use multiple literatures and
understand the top ic and compile the report in standard format and present in front of
Panel of Examiners appointed by the Head of the Department/Institute of respective
Program.
o Seminar assessment should be based on following points:
• Quality of Literature survey and Novelt y in the topic.
• Relevance to the specialization
• Understanding of the topic
• Quality of Written and Oral Presentation

IMPORTANT NOTE:

1. Assessment of Seminar will be carried out by a pair of Internal and External examiner. The
external examiner should be selected from approved panel of examiners for Seminar by
University of Mumbai, OR faculty from Premier Educational Institutions/Research
Organizations such as IIT, NIT, BARC, TIFR, DRDO, etc. OR a person having minimum
Post-Graduate qualification with at least five years‘ experience in Industries.

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

3. At least 4 -5 hours of course on Resea rch Methodology should be conducted which includes
Literature Survey, Problems Identification, Analysis and Interpretation of Results and
Technical Paper Writing in the beginning of 3rd Semester .

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97 University of Mumbai, Instrumentation Engineering, Rev 2016 -17
Subject Code Subject Name Credits
ISD301/401 DISSERTATION (I AND II) 12 + 15


Guidelines for Dissertation :
o Students should do literature survey and identify the problem for Dissertation and
finalize in consultation with Guide/Supervisor. Students should use multiple
literatures and understand the problem. Stud ents should attempt the solution to the
problem by analytical/simulation / experimental methods. The solution to be validated
with proper justification and compile the report in standard format.

Guidelines for Assessment of Dissertation -I:
o Dissertation -I should be assessed based on following points
• Quality of Literature survey and Novelty in the problem
• Clarity of Problem definition and Feasibility of problem solution
• Relevance to the specialization
• Clarity of objective and scope
o Dissertation -I should be a ssessed through a presentation by a panel of Internal
examiners appointed by the Head of the Department/Institute of respective
Program.

Guidelines for Assessment of Dissertation -II:
o Dissertation -II should be assessed based on following points
• Quality of Literature survey and Novelty in the problem
• Clarity of Problem definition and Feasibility of problem solution
• Relevance to the specialization or current Research / Industrial trends
• Clarity of objective and scope
• Quality of work attempted
• Validation of results
• Quality of Written and Oral Presentation
o Dissertation -II should be assessed through a presentation jointly by Internal and External
Examiners appointed by the University of Mumbai.

Students should publish at least one paper based on the work in re puted International /
National Conference / Refereed Journal .