ME Biomedical Engg1_1 Syllabus Mumbai University

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1 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17

AC 14/07/2016
Item No. 4.7




UNIVERSITY OF MUMBAI












Revised Syllabus for the

M.E. (Bio-Medical 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, Bio -Medical 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 proce ss 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 fe w (PEO‘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
curriculum accordingly. In additi on to outcome based education, Choice Based
Credit and Grading S ystem 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 i n implementing 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 - Academic Council
University of Mumbai, 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 prese nt requirement 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 specif ied
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
University 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 E ducational Objectives (PEOs) were finalized for post -
graduate program in Bio-Medical Engineering, more than ten senior faculty members
from the different institutes affiliated to University of Mumbai were actively participated
in this process. Few PEOs wer e finalized for post -graduate program in Instrumentation
Engineering are listed below;

Program Educational Objective s (PEOs)

 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 product & systems.
 Expose them by giving an opportunity as an individual as well as team.
 Facilitate strong base o f basic scientific & engineering knowledge with
professional ethics, lifelong learning attitude society globally.
 Be successful innovative and entrepreneur in the Bio-Medical field via
consultancy work.

Program Outcomes (PO s)

 Able to demonstrate & compet ent enough in basic knowledge in Mathematics,
Engineering and Technology to obtain the solution of engineering problem.
 Have ability to formulate 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, engineering software‘s,
simulated model and solutions etc as per desired specification & requirement as
applicable/useful to public/society.
 Demonstrate the ability to work on bas ic engineering discipline as well as multi -
disciplinary engineering teams to achieve the solution of engineering problem.
 Strong competency in using modern engineering tools like M ATLAB / Simulink,
LABVIEW/Multi Sim for solution of Bio-Medical Engineering p roblems.
 Able to use the acquired knowledge and professional skill and project as well as

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budget management towards betterment of the society.
 Understand the needs of the society worldwide in the context of his professional
knowledge to ensure environmenta l safety and better sustainability.
 Capable to apply ethical principles with committed professional ethics and 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 f unctionaries 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, datashe ets, reports , documentation etc.
 Inculcate the lifelong learning in the purview of u pdates /upgrade in engineering
and technology.
 Investigate the complex engineering problems using acquired knowledge in Bio-
Medical engineering to develop industrial level solutions in the interest of society.



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

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Program Structure for
M.E. Bio-Medical 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
BMC 101 Anatomy and Physiology
For Engineers 04 - - 04 - - 04
BMC 102 Bio-Medical Sensors ,
Applications and Intelligent
Instrumentation







Measurement
Systems 04 - - 04 - - 04
BMC 103 Advanced Digital Signal
Processing 04 - - 04 - - 04
BMDLO101X Department Level
Option al Course -I 04 - - 04 - - 04
ILO101X Institute Level Option al
Course-I 03 - - 03 - - 03
BML 101 Laboratory -I - 02 - - 01 - 01
BML102 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.
BMC 101 Anatomy and Physiology
For Engineers 20 20 20 80 03 - - 100
BMC 102 Bio-Medical Sensors ,
Applications and Intelligent
Instrumentation







Measurement
Systems 20 20 20 80 03 - - 100
BMC 103 Advanced Digital Signal
Processing 20 20 20 80 03 - - 100
BMD LO101X 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
BML 101 Laboratory -I - - - - - 25 25 50
BML102 Laboratory -II - - - - - 25 25 50
Total 100 100 100 400 - 50 50 600

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

Semeste r II
Subjec t
Code Subject Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
BMC201 Biomedical
Instrumentation and
Design 04 - - 04 - - 04
BMC202 Biomedical Image
Processing
04 - - 04 - - 04
BMC203 Advanced Medical
Imaging 04 - - 04 - - 04
BMDLO 202X Department Level
Option al Course -II 04 - - 04 - - 04
ILO202X Institute Level Option al
Course -II 03 - - 03 - - 03
BML201 Laboratory -III - 02 - - 01 - 01
BML202 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.
BMC201 Biomedical
Instrum entation and
Design 20 20 20 80 03 - - 100
BMC202 Biomedical Image
Processing
20 20 20 80 03 - - 100
BMC203 Advanced Medical
Imaging 20 20 20 80 03 - - 100
BMDLO 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
BML201 Laboratory -III - - - - - 25 25 50
BML202 Laboratory -IV - - - - - 25 25 50
Total 100 100 100 400 - 50 50 600

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Program Structur e for
M.E. Bio-Medical 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
BMS301 Special Topic Seminar - 06 - - 03 - 03
BMD301 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.
BMS301 Special Topic S eminar - - - - 50 50 100
BMD301 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
BMD401 Dissertation –II - 30
0 - - 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.
BMD401 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 considered for the calculation
of load of a teacher
o In case o f 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 questio n 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
BMD LO1011 Embedded Systems in Biomedical
Engineering BMDLO 2021 Biorheology
BMD LO1012 Biomaterials and Implants BMDLO 2022 Robotics in Biomedical
Engineering
BMDLO 1013 Telemedicine BMDLO 2023 Neural Networks
BMDLO 1014 Rehabilitation Engineering BMDLO 2024 Computer Networking in
Medicine
BMDLO 1015 Biomedical Informatics BMDLO 2025 Lasers and Fiber Optics for
Therapy and Surgery
BMDLO 1016 Healthcare Data Base
Management System BMDLO 2026 Hospital Management and
Information System


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 Information System ILO2023 Entrepreneurship Development and
Management
ILO1014 Design of Experiments ILO2024 Human Re source Management
ILO1015 Operation Research ILO2025 Professional Ethics and Corporate
Social Responsibility (CSR)
ILO1016 Cyber Security and Laws ILO2026 Research Methodology
ILO1017 Disaster Management and Mitigation
Measures ILO2027 IPR and Paten ting
ILO1018 Energy Audit and Management ILO2028 Digital Business Management
ILO2029 Environmental Management

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Subject Code Subject Name Credits
BMC101 ANATOMY AND PHYSIOLOGY FOR ENGINEERS 04
Course Objectives:
 To understand the human anat omy and functions of various body structures. To
understand different physiological processes taking place inside human body.

Course Outcomes :
 Students will be well versed with the anatomy and physiology of human body. By
this they will be able to corre late the knowledge of medicine and engineering for
development of various instruments.
Module Detailed Contents Hours
1. Introduction to human body : levels of structural complexity,
Internal environment and homeostasis, overview of various systems,
Introd uction to special senses . 06
2. Study of cellular system and blood components : Structure &
functions of cell, Cellular transport (active and passive), diffusion,
osmotic pressure, Body fluid compartments, origin of cell membrane
potential - Nernst and Gol dman equations – Action potential - Blood
composition - functions of blood – functions of RBC, WBC, platelets,
Physical & Physiological properties of blood . 08
3
Cardiovascular system : Anatomy of heart, Ana tomy of vessels,
Cardiac output , Heart sounds , Dynamics of heart, Systemic and
pulmonary circulation, Blood pressure & its regulation
ECG - Intra -cardiac ECG, Normal ECG, method for recording ECG,
leads, Cardiac arrhythmias. 10
4 Respiratory system: Anatomy of lungs, parts of respiratory system,
Orga nization of Ventilation, diffusion, gas exchange, Measurement
of lung volumes & capacities, Lung compliance, surfactant Oxygen
& carbon dioxide transport, composition of alveo lar air, Control of
respiration. 08

5 Musculoskeletal system and Central nervou s system: Anatomy of
brain, spinal cord, Organization & functions Receptors, synapses,
reflexes, ANS, PNS, Ascending & descending tracts , Skeleton –
anatomy, Structure & functions of Nerve& muscle , Mechanism of
muscle contraction, Neuro – muscular transm ission and processing of
information. 08
6 Endocrine system: Secretion and Function of Pituitary gland,
hypothalamus, thyroid gland, parathyroid glands, adrenal glands,
pineal gland or body, tymus gland, various hormonal disorders . 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.

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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.

Text Books:
1. Anatomy and Physiol ogy in Health and Illness: Ross and Wilson. ( ELBS Pub )
2. Textbook of Biomedical Physiology – A. C. Gayton

Reference Books:
1. Applied Physiology - C.A. Keeleand Eric Neil Samson, Wrights
2. The Physiological Basis of Medicine Practice - .Herbert Best Charl es and Norman
Tailo

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Subject Code Subject Name Credits
BMC102 BIOMEDICAL SENSORS, APPLICATIONS AND
INTELLIGENT INSTRUMENTATION 04

Course Objectives:
 To study the basic characteristics of measurement system.
 To study the diffe rent types of transducers: Displacement and Pressure transducers.
 To study the techniques used for measurement of Blood flow.
 To study Fiber Optic, Chemical and Radiation sensors.
 To study the biochemical measurements.

Course Outcomes :
 A learner will be able to get the clear domain knowledge about various measurement
systems.
 Develop measurement systems by selecting different types of sensors.
 Do biochemical measurements


Module Detailed content Hours
Introduction: Transducers, Classification of T ransducers, Principle of
operation and their applications, Characteristics and choice of Transducers,
Input, Output and Transfer Characteristics, Types of Errors. 04 1
2

Displacement and Pressure Transducer: Resistive: Bonded and
unbonded strain gauge, Thermistor Inductive: self inductive and mutual
inductive transducer, Rotary Variable Differential Transformer ( RVDT),
Linear Variable Differential Transformer(LVDT) Capacitive: Parallel
plate transducer, Types(Change in area of plates, change in distance
between plates, variation of dielectric constant) Self generating Transducers:
Thermocouple, Integrated circuit Temperature Transducers, LM 335, LM
34, AD 592, Piezoelectric transducers Hall Effect Transducers:
Magnetoelastic and Magnetostri ctive transducers. 12





Flow sensors: Electromagnetic flow meter, Ultrasonic Blood flow
meter, Indicator dilution methods, Fick Technique to measure cardiac
output, Dye Dilution, Thermodilution, Laser Doppler Blood flow meter,
Thermal co nvection velocity sensors, Spirometer using methods of Pressure
Transducer and ultrasonic.

3 08
Fiber Optic Sensors: Blood Pressure sensor system, Extravascular sensors,
Intravascular Fiber Optic sensors, Disposable Pressure sensors, Dynamic
properties of Pressure Measurement Systems, Analogus Electric Systems,
Measurement of system response, Effects of system parameters on response.
4 08
Chemical Biosensors: Blood Gas and Acid - Base Physiology,
Electrochemical Sensors, Measurement of pH, P co2, The P O2 Electrode,
Chemical Fibrosensors, Intravascular measurements of oxygen saturation,
Reversible Dye Optical measurement of pH, Fluorescence Optical pH
sensor(Irreversible), Fluorescence optical P co2, P O2 sensor, Design of an
Intravascular Blood Gas monitoring system, ION -Sensitive Field Effect
Transistor(ISFET), Immunologically Sensitive Field Effect
Transistor(IMFET), Non -Invasive Blood Gas Monitoring, Pulse Oximetry,
Blood Glucose Sensors, Electroenzymatic Approach, Optical Approach.
5 12

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Radiation Sensors: Thermal Sensors and Quantum Sensors, Photoemissive
Sensors, Photoconductive cells, Photomultiplier tube, Photojunction
Sensors, Photovoltaic Sensors, spectral response, Photodiodes,
Phototransistor, Phottothyristor.

6 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 g uidelines 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.

Text Books:
1. Electrical Measurements and measuring Instruments by A. K. Sawhney
2. Biomedical Transducers and Instruments by Tatsuo Togawa, Toshiyo Tamura, P.
Ake Oberg
3. John G. Webster - Medical Instrumentation Applications and Design 3rd edition John
Wiley and Sons. Inc. 1999


Reference Books:
1. Principle of Biomedical Engineering – Sunder Rajan V. Madihally
2. Sensors, Nano science and Biomedical Engineering and Instruments – Richard C. Dorf.
3. ―Handbook of biosensors and electronic noses,‖ Medicine, food and environment
edited by Evikakress Rogers CRC press New York
4. ―Biomedical instruments Theory and design,‖ second
edition, Waltezwelkowitzsiddentsch MeltinAkay
5. ―Applied biosensors‖, Donald L Wise Butterworth Toronto

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Subject Code Subject Name Credits
BMC103 ADVANCED DIGITAL SIGNAL PROCESSING 04

Course Objectives:
 To understand the students the concepts of frequency domain representation of
heio signals, design and use of digital filers, adaptive filters, wavelets, corss
correlation and auto correlaion to bio signals. To make students familiar with
techniques of digital signal processing

Course Outcomes:
 Through this course students will u nderstand the applications of digital signal
processing to the bio -signals. Students can analyses the bio -signals using d iscrete
Fourier transform. Students can design digital filters and use them for bio -signals
for noise suppression and many other purposes. Students will be familiar with the
concepts of wavelets, adaptive filtering and cross correlation. Students can apply
these techniques for processing of bio -signals for extracting information for the
signals .

Module Detailed Content Hours
1 Introduction: Types of Signals, Sampling, Sampling Theorem, Discrete
Time & Continuous Time Signal Analysis, Analysis of Non -Stationary
Signals, Overview of application of Signal Processing in Biomedical. 6
2 Digital Filters: Filter Specifications, Design of IIR filters: Design by
Impulse Invariance method, Impulse Invariance method with Butterworth
filter, Bilinear transformation, Bilinear transformation of Butterworth
filter, Frequency Transformation. 8
3 Frequency Domain Processing: Fourier Transform of Periodic Signals,
Discrete Fourier Transform, DFT of rectangular Pulse, Properties of DFT,
DFT analysis of sinusoidal signals, P roperties of Windows, Fourier
analysis of non -stationary signals, Estimating the Power spectrum of
Quantization noise. 8
4 Adaptive Cancellation and Statistical Processing: Adaptive filtering,
Application of Adaptive filters, Mean Square Error, RLS and LM S
Algorithm, Adaptive Lattice Ladder Filter, Adaptive Noise Control. 8
5 Wavelet: Introduction to wavelet, Scaling function and wavelet function,
HAAR Wavelet, Daubechies Wavelet, Wavelet Filter Bank and it's
complete reconstruction, Comparison of Wavelet with STFT, Application
of Wavelet for Biomedical Signal Processing. 8
6 Autoand Cross Correlation Techniques: Correlation and Auto
Correlation Sequences, Properties of Correlation and Auto Correlation
Sequences, Correlation of Periodic Sequences, Input O utput Correlation
Sequence, Correlation Functions and Spectra at the output of LTI Systems,
Auto Correlation, Auto Regressive Process, Moving Average Process,
Computation of Correlation, Cross Correlation, Autocorrelation of Periodic
signals and their prop erties, Biomedical Applications of Auto and Cross
Correlation, Software Application of Echo Detection. 10

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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 student s. Minimum 80%
syllabus should be covered in question papers of end
semester examination.

Text Books:
1. Electrical Measurements and measuring Instruments by A. K. Sawhney
2. Biomedical Transducers and Instruments by Tatsuo Togawa, Toshiyo Tamura, P.
Ake Ober g
3. John G. Webster - Medical Instrumentation Applications and Design 3rd edition John
Wiley and Sons. Inc. 1999

Reference Books:
1. Principle of Biomedical Engineering – Sunder Rajan V. Madihally
2. Sensors, Nanos cience and Biomedical Engineering and Instr uments – Richard C. Dorf.
3. ―Handbook of biosensors and electronic noses,‖ Medicine, food and environment
edited by Evikakress Rogers CRC press New York
4. ―Biomedical instruments Theory and design,‖second
edition, Waltezwelkowitzsiddentsch Meltin Akay
5. ―Applied biosensors‖, Donald L Wise Butterworth Toronto

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Subject Code Subject Name Credits
BMD LO1011 EMBEDDED SYSTEMS IN BIOMEDICAL
ENGINEERING 04

Course Objective:
 Understand the fundamentals of embedded systems , the basics of C and OOP
concepts , understand the PIC microcontroller architecture (PIC) , C language
program for PIC microcontroller , Digital instrumentation and concepts of RTOS
Course Outcome:
 A Learner will be able to Write C language program for PIC microcontroller and
Design PIC microcontroller based digital instrument

Module Detailed content Hours
1 Embedded system introduction : Introduction to embedded
system, embedded system architecture, classifications of
embedded systems, challenges and design issues in embedded
systems, fundamentals of embedded processor and
microcontrollers, CISC vs. RISC, fundamentals of
Vonneuman/Harvard architectures, types of microcon trollers and
selection of microcontrollers. 10
2 Concepts of C & C++ programming: C concepts and
programming: Data ty pes, Operators, Conditional statements &
loops. Functions: Parameter passing -Pass by Value, Pass by
Reference; creating modular programs using functions, Recursive
functions. Structures & Unions: declaration, accessing members
of structure, difference betw een structure and union, User
Defined Data Types, Enumerated data type.
Pointers: pointer basics and concepts, arrays and pointer relation,
passing pointers to functions, dynamic memory allocation.
Differences between C and C++, Fundamentals of object orie nted
programming. Basics of C++: features of C++, data types,
standard I/O, arrays and strings in C++. 10
3 PIC Architecture & C Programming: Introduction to PIC
microcontrollers, PIC architecture, instruction set, addressing
modes & PIC , C programming ex amples.LCD and Keypad
interfacing. 10
4 Digital Instrumentation: Summation -delta ADC‘s, Examples,
ADS1298 for ECG, AFE 4300 for BCA (body composition
analysis), AFE 4490 for oxygen saturation. 08
5 Program modeling concepts & Real time operating system:
Modeling process for software analysis before implementation,
Models for event control programs and multiprocessor system.
Concepts of RTOS, I/O subsystems, network operating systems,
real time and embedded operating systems. 10

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16 University of Mumbai, Bio -Medical 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 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.

Text Books:
1. The 8051 microcontrollers -Kenneth J Ayala
2. Rajkamal, Embedded systems -architecture, programming and design, Tata McGraw
Hill.
3. Sriram Iyer & Pankaj Gupta, Embedded Real time systems programming, Tata McGraw
Hill

Reference Books:
1. Embedded Micro computer Systems - Real time Interfacing -Valvano Frank Vahid, Toney
Givargis -Embedded System Design: A unified Hardware/Software Introduction John
Wiley publication
2. David E. Simon -An Embedded Software Primer Pearson Education
3. Muhammad A Mazidi, The PIC Microcontroller and Embedded Systems, Pearson
Education

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17 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
Subject Code Subject Name Credits
BMDLO 1012 BIOMATERIALS AND IMPLANTS 04

Course Objectives:
 To understand what biomaterials are, what are they made of, types of materials used
for making bioimpl ants and in which all conditions of the body they are used. Also
it emphasizes on various techniques to understand how the properties of these
materials are studied.

Course Outcomes:
 A leaner can design an implant as per th e need and also come to know a bioimplant
is not compatable, what all complications it can lead to. Also understand how a
biomaterial improves the quali ty of life and enhances the aesthetic looks of an
individual too.

Module Detailed content Hours
1 Introduction: Introduction of b iomaterials. Classification of biomaterials 02

2 Physiological Defense Mechanisms of the body against biomaterials:
Inflammation and wound healing, Blood clotting system, Immune system,
Complement system.
06

3 Properties and applica tions of biomaterials: Tantalum, Platinum and
other noble metals. 05
4 Biopolymers: Collagen, Elastin, Mucopolysaccharides, proteoglycans,
cellulose and other derivatives, chitin, other polysaccharides.
05

5 Cardiovascular Implants and Extracorporeal Devices: Vascular
implants, cardiac pacemakers, blood substitutes, extracorporeal
blood circulation devices
05

6 Biomaterials in Opthalmology: Contact Lenses, optical implants, drainage
tubes in glaucoma, vitreous implants, acrylate adhesives, artificial tears
05

7 Dental Materials: Tooth composition and mechanical properties,
Impression materials, bases, liners and varnishes for cavities, fillings and
restorative materials, materials for deep cavities, oral i mplants, use of
collagen in dentistry
05


8 Techniques for characterization of surface properties of biomaterials:
Electron Spectroscopy for Chemical Analysis( ESCA), Secondary Ion Mass
Spectrometry ( SIMS), Surface Infrared Techniques, Transmission Electron
Microscope( TEM), Scanning Electron Microscope( SEM), Scanning
Tunneling Microscope( STM), Atomic Force Microscope (AFM), Surface
Enhanced Raman Spectroscopy ( SERS), High Resolution Electron Energy
Loss Spectroscopy ( HREELS)
10





9 Thermal, Mechanical and Biological Testing of Biomaterials. 05

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18 University of Mumbai, Bio -Medical 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 q uestions to be
attempted by students. Minimum 80% syllabus should be covered
in question papers of end semester examination.

Text Books:
1. An Introduction to Materials in Medicine by Buddy D. Ratner, Allan S.
Hoffman, Frederick J. Schoen, Jack E. Lemons
2. Biomaterails by Sujata V. Bhat
3. Polymers: Biomaterials and Medical Applications, Encyclopedia Reprint Series,
Editor: Jacqueline I. Kroschwitz.

Reference Books:
1. Biomaterials an Introduction by J. B. Park

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19 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
Subject Code Subject Name Credits
BMDLO 1013 TELEMEDICINE 04

Course Objectives:
 It emphasizes on various types of signals which are transmitted from one region to
another by various communications and networking techniques, how data is
exchanged and the safety and security of dat a is achieved.

Course Outcomes:
 Telemedicine plays a wide role in Biomedical engineering and the leaner can
understand how this technique can be utilized in physiological data transfer,
particularly Cardiac signals in ambulatory conditions.

Module Detailed content Hours
1 Introduction: History of telemedicine, Block diagram of telemedicine
system, Definition of Benefits and limitations of telemedicine. 04
2 Type of information : Audio, Video, Still images, Text and data, fax,
Medical information stora ge and management for telemedicine - patient
information medical history, test reports, medical images diagnosis and
treatment. Hospital information - Doctors, paramedics, facilities available.
Pharmaceutical information
10 Type of communications and netw ork, PSTN, POTS, ANT, ISDN,
Internet, Air/ wireless communications: GSM satellite, and Micro wave.
Different Modulation techniques.
Types of antennas depending on requirements, Integration and operational
issues: - system integration, store –and - forwa rd operation, Real -time
Telemedicine.
3 Data Exchange: Network Configuration, circuit and packet switching, H.
320 series (Video phone based ISBN) T. 120, H.324 (Video phone based
PSTN). Video Conferencing 08

4 Data Security and Standards: Encryption, Cryptography, Mechanisms of
encryption, phases of Ecryption. Protocols: TCP/IP, ISO -OSI, Standards to
followed DICOM, HL7. 08
5 Ethical and legal aspects of Telemedicine: Confidentiality, and the law,
patient rights and consent, access to medica l Records, Consent treatment,
jurisdictional Issues, Intellectual property rights 08

6 Applications of Telemedicine: 10

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20 University of Mumbai, Bio -Medical 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.

Text Books:
1. Olga (EDT) Ferrer – Roca, M. Sosa (EDT) Iudicissa Hand book of Telemedici ne IOS press

Reference Books:

1. A.C. Norris, Essentials of Telemedicine and Telecare John Sons & Ltd, 2002
Reference http://jntu.ac.in/dap/syl.html

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21 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
Subject Code Subject Name Credits
BMDLO 1014 REHABILITATION ENGIN EERING 04

Course Objectives:
 Identify the role of Rehabilitation Engineering in clinical practice.
 To study the need of Orthotics, Prosthesis and how it helps in quality life in an
individual
 To study various design considerations of Artificial devices that supports the human
sensory organs

Course Outcomes:
 A learner will able to understand the basic differences between O rthotics and
Prosthesis. Design supporting devices as per the need of the patient. Understand
and instruct various safety measures while using powered devices. Understand to
what extend robotic devices are useful in manufacturing artificial devices

Module Detailed content Hours
1 Introduction: Introduction to Rehabilitation Engineering. Qualitative and
quantitative description of the actio n of muscle in relation to the human
movement, Gait cycle and Analysis , Various types of joint movements,
Prehension Patterns, Sliding Filament Theory, Forward and Inverse
dynamics of multi joint muscle driven system. Introduction to blood
rheology, flow in circulatory system. 10

2 Prosthetics, Orthotics and Rehabilitation Robotics: Prosthetics:
Introduction, upper, lower and external, internal prosthetics - Orthotics:
Functional electrical stimulation (FES), ambulatory aids, aids for daily
living, prosthetics using myo -electric signal control - Rehabilitation robotics:
Introduction, configuration and its compon ents, control and sensor. 10

3 Mobility aids: Types of Mobility Aids, Manual and Powered Wheel Chairs,
Design and selection of comp onents, Wheel chair safety. 06
4 Basics of Mechanics: Stress strain curve, constitutive equation and field
equation encountered in fluids , Viscoelasticity. Models of material behavior,
measurement and characteristics of muscle, bone tendons, ligaments a nd skin .
08

5 Sensorial Pr osthesis and Artificial Organs: Sensory rehabilitation
Engineering, Retinal rehabilitation, Rehabilitation of Brain and Spinal cord 08

6 Kinesiology : Kinesiolgy and muscle function application of mechan ics to
describe the material properties of living tissues, Levers, Freebody diagram
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.

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22 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
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.


Text Books:

1. Rehabilitation Medicine – Dr. S. Sunder Jaypee Medical publications New Delhi

Reference Books:
1. Physical rehabilitatio n – Susan D. O‘Sullivan, Thomas J Smitz. 5th edition
2. Rory. A. Cooper - Rehabilitation Engineering Applied to Mobility and Manipulation , First
Edition, CRC Press, 2010

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23 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
Subject Code Subject Name Credits
BMDLO 1015 BIOME DICAL INFORMATICS 04

Course Objectives:
 To understand various concepts like medical records, data acquisition and
computing. It also helps in understanding how patient care monitors are helpful in
acquiring data and Understanding the importance and the g eneration of certain
algorithms

Course Outcomes:
 This helps in the Analysis and Interpretation of various biological data with the help
of Medical records, mathematical analysis and Computing. It is widely used in Tele
Health sector too.

Module Detailed content Hours

1 Introduction: Origins of Biomedical Informatics, Relationship of
biomedical informatics to other fields, Biomedical Data acquisition, storage
and use of Computer based medical records 06


2 Patient care syst ems and Patient Monitoring Systems 08
3 Data Mining: Introduction to data mining, basic aspects of data
measurement, types of variables, Visualization and data exploration,
Clustering algorithm. 08

4 Fitting Models: Basic principles of fittin g models to data, Classification 06 Algorithms, Regression Algorithms
5 Information Retrieval: Basic principles of Information Retrieval and 08 Search, document classification algorithms, document clustering algorithms
6 Information Management: Management of Information in Healthcare
Organizations, Public Health Informatics, Health Information
Infrastructure, consumer health informatics, Telehealth and mhealth and
future of Biomedical Informatics. 12



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 E xamination: 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 .

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24 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17

Text Books:

1. Public Health Informatics and Information Systems by D.A. Ross, A.R. Hinman,
K. Saarlas, and W.H. Foege (Hardcover – Oct 16, 2002)

Reference Books:

1. Androwich, I.A., Bickford, C.J., Button, P.S., Hunter, K.M., Murphy, J., and
Sensmeier, J. (2002) Clinical Information Systems: A Framework for Reaching the
Vision. Washington, DC: ANA Publishing

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25 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
Subject Code Subject Name Credits
BMDLO 1016 HEALTHCARE DATA BASE MANAGEMENT
SYSTEM 04
Course Objectives:
 It deals with computerized management of patient data, importance of computers in
clinical laboratory, and how computers help in assisting doctors to take medical
decisions, also the role of computers in conducting/performing therapy.

Course Outcomes:
 With the Application of Computers in ma ny fields, particularly in the hospitals,
various Medical decisions have become much faster and patient‘s life safety is also
much more improved. Also at any given point of time, all possible medical data is also
available in hospital due to computerizatio n.
Module Detailed content Hours
1 Introduction to Data Base Management Systems: Database system
applications, database system versus file system, view of data, data models,
database language, Database users and administrators, Transaction
management , database system structures, Application Architectures 08



2 Hospital Information System: Introduction, Functional capabilities of a
computerized HIS, Need for computerization in hospitals, Security of
computer records, C ost effectiveness of information processing by
computer, Sources of data for decision making, Modes of decision output to
physician, Regenstrief computerized medical record system, Computer
DBMS in obstetrics - gynecology, Computer based morbidity re gisters 08





3 Computerized Patient Data Base Management: Introduction, History -
taking by computer, Dialogue with the computer, Methods of history taking
by computers, Patient data base management by computers. Computerized
medical record –Evolution. 06


4 Computers in Clinical Laboratory: Introduction, Data base approach to
Laboratory Computerization, Automated Clinical Laboratories, Automated
Methods in Hematology, Chromosome Analysis by computer, Comput erized
Electrocardiography (ECG), Assessment of performance of ECG
computer programs, Computerized Electroencephalography, Computerized
Electromyography. 10




5 Computer Assisted Medical Decision -Making:
08 Introduction, General Model of CMD, Algorithmic Methods, Statistical
pattern classification, Decision Analysis, Fuzzy set theory, Production Rule
Systems, Cognitive Models, Internist, QMR, KES, A rule based decision
aid for TIA. Computers in the care of Crit ically Ill Patients: Automated
computer Assisted Fluid and Metabolic balance, Pulmonary Function
Evaluation, Cardiovascular Physiologic Evaluation.
6 Computer Assisted Therapy:
08 Introduction, Digitalis Therapy, Evaluation of Patient response, Assessing
Digitalis Toxicity, Computers for care of renal disorders, Computer based
cancer Chemotherapy protocol advisor - ONCOCIN, Automated Drug

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26 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
delivery, Electromyogenic Controlled Limbs. Computer Aids for the
Handic apped: Introduction, Mobility, Blind and Visually Handicapped,
Computer aids for the deaf, computer speech generation and recognition.
Assessment:

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on mini mum 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 quest ions to be
attempted by students. Minimum 80% syllabus should be covered
in question papers of end semester examination.

Text Books:
1. Data Base Management Systems (3rd) Raghu Ramakrishnan, JohanisGehrkMcGrawhill

Reference Books:
1. Computers in Medicine – Dr. R. D. Lele Tata Mcgraw Hill Medical Informatics a Primer -
Mohan Bansal TMH publications

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27 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
Subject Code Subject Name Credits
ILO1011 PRODUCT LIFE CYCLE M ANAGEMENT 03

Objectives :
 To familiarize the students with the need, benef its and components of PLM
 To acquaint students with Product Data Management & PLM strategies
 To give insights into new product development program and guidelines for designing and
developing a product
 To familiarize the students with Virtual Product Devel opment
Outcomes: Learner will be able to…
 Gain knowledge about phases of PLM, PLM strategies and methodology for PLM feasibility
study and PDM implementation.
 Illustrate various approaches and techniques for designing and developing products.
 Apply produ ct engineering guidelines / thumb rules in designing products for moulding,
machining, sheet metal working etc.
 Acquire knowledge in applying virtual product development tools for components, machining
and manufacturing plant


Module Detailed Contents Hrs
01 Introduction to Product Lifecycle Management (PLM): Product Lifecycle
Management (PLM), Need for PLM, Product Lifecycle Phases, Opportunities of
Globalization, Pre -PLM Environment, PLM Paradigm, Importance & Benefits
of PLM, Widespread Impact of PLM, Focus and Application, A PLM Project,
Starting the PLM Initiative, PLM Applications
PLM Strategies: Industrial strategies, Strategy elements, its identification,
selection and implementation, Developing PLM Vision and PLM Strategy ,
Change management for PLM 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 Development Process, Relation with the Development Process Planning
Phase, Relation with the Post design Planning Phase, Methodological Evolution
in Product Design, Concurrent Engineering, Characteristic Features of
Concurrent Engineering, Concurrent Engineering and Life Cycl e 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 Da ta 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 components, mach ines, and
manufacturing plants, 3D CAD systems and realistic rendering techniques,
Digital mock -up, Model building, Model analysis, Modeling and simulations in 06

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28 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
Product Design, Examples/Case studies
05 Integration of Environmental Aspects in Product Des ign: Sustainable
Development, Design for Environment, Need for Life Cycle Environmental
Strategies, Useful Life Extension Strategies, End -of-Life Strategies, Introduction
of Environmental Strategies into the Design Process, Life Cycle Environmental
Strateg ies 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 Assessment, Cost An alysis 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 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 wi ll comprise of total s ix 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.



REF ERENCES:
1. John Stark, ―Product Lifecycle Management: Paradigm for 21st Century Product Realisation ‖,
Springer -Verlag, 2004. ISBN: 1852338105
2. Fabio Giudice, Guido La Rosa, AntoninoRisitano, ―Product Design for the environment -A life
cycle approach ‖, Taylor & Francis 2006, ISBN: 0849327229
3. SaaksvuoriAntti, ImmonenAnselmie, ―Product Life Cycle Management‖, Springer,
Dreamtech, ISBN: 3540257314
4. Michael Grieve, ―Product Lifecycle Management: Driving the next generation of lean
thinking‖, Tata McGraw Hill, 2006, ISBN: 0070636265

Page 30

29 University of Mumbai, Bio -Medical 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 introduce the stu dents 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 Contents Hrs
01 Probability theory: Probability: Standard definitions and concepts; Conditional
Probability, Baye‘s Theorem.
Probability Distributions: Central tendency and Dispersion; Binomial, Normal,
Poisson, Weibull, Exponential, relations between them and their signi ficance.
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 Reliability, Bath Tub Cu rve.
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 Model. Distributio n 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: Maintenance requirem ents, 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 Criticality 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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30 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
Assessment :

Internal: Assessment consi sts 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 proport ional to
number of respective lecture hours as mention in the syllabus.

1. Question paper will comprise of total s ix 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. L.S. Srinath, ―Reliability Eng ineering‖ , Affiliated East -Wast Press (P) Ltd., 1985.
2. Charles E. Ebeling, ―Reliability and Maintainability Engineering ‖, Tata Mc Graw 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. Spie gel, ― Probability and Statistics ‖, Tata McGraw -Hill Publishing Co. Ltd.

Page 32

31 University of Mumbai, Bio -Medical 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 roles played by infor mation 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 deliver efficiency and co mpetitive 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 social issues in inform ation 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
 Understand the princip al 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 Co ntents Hrs
01 Introduction To Information Systems (IS): Computer Based Information
Systems, Impact of IT on organizations, Impor tance of IS to Society.
Organizational Strategy, Competitive Advantages and IS. 7
02 Data and Knowledge Management: Database A pproach, 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. Threat to IS, and Securi ty
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, Pervasive computing ,
Cloud computing model. 6
06 Information System within Organization: Transaction Processing Systems,
Functional Area Information System, ERP and ERP support of Business Process.
Acquiring Information Systems and Applications : Various System development
life cycle models . 10

Page 33

32 University of Mumbai, Bio -Medical 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 E xamination: 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 s ix question
2. All question carry equal marks
3. Questions will be mixed in nature (for ex ample 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

Page 34

33 University of Mumbai, Bio -Medical 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 experimental de signs 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, analyze, and interp ret 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 Regression 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 l ack 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 -Leve l 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 problems or cours e
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

Page 35

34 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
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 s ix question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part (b)
will be from any module other than module 3)
4. Only Four question need to be solved.

REFERENCES:
1. Raymond H. Mayers, Douglas C. Montgomery, Christine M. Anderson -Cook, R esponse 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. George E P Box, J Stuart Hunter, William G Hunter, Statics for Experimenters: Design, Innovation
and Discovery, 2nd Ed. Wiley
4. W J Dimond, Peactical Experiment Designs for Engineers and Scintists, John Wiley and Sons Inc.
ISBN: 0 -471-39054 -2
5. Design and Analysis of Experiment s (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.

Page 36

35 University of Mumbai, Bio -Medical 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, including 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 assignment
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 importan t 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 Research M odels, 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, Mathemati cal Formulation of LPP, Graphical method,
Simplex Method Penalty Cost Method or Big M -method, Two Phase Method,
Revised simplex method, Duality , Primal – Dual construction, Symmetric and
Asymmetric Dual, Weak Duality Theorem, Complimentary Slackness Th eorem,
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 approxi mation 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 Decomposition a lgorithms. 06

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36 University of Mumbai, Bio -Medical 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 Simulation, B asic 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 of 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 Model with Pr ice 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 live prob lems 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 que stion 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 s ix 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", Prenti ce 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.
3. Hiller, F. S. and Liebermann, G. J. "Introduction to Operations Research", Tata McGraw Hi ll,
2002.

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37 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
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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38 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
Subject Code Subject Name Credits
ILO1016 CYBER S ECURITY 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 offenses & Cybercrime : How criminal plan the attacks, Social Engg, Cyber
stalking, Cyber café and Cybercrimes, Botnets, Attack vector, Cloud computing,
Proliferation of Mobile and Wireless Devices, Trends in Mobility, Credit Card Frauds in
Mobile and Wirele ss 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 Handli ng 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, Do S 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 Pro perty 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 compliance s : SOX, GLBA, HIPAA, ISO, FISMA,
NERC , PCI. 6

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.

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39 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
End Semester Examination: Some guidelines for settin g 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 m odule 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 Ne w Delhi
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. Kennetc h 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 : https://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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40 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
Subject Code Subject Name Credits
ILO1017 Disaster Management 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 over come /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 disa ster 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 o f national importance 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
warm ing and climate change. 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, climate change, global warming, sea level rise, ozone
depletion . Manmade Disasters: Chemical, Industrial, Nuclear and Fire Hazards.
Role of growing population and subsequent industrialization, urbanization and
changing lifestyle of human bei ngs in frequent occurrences 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 manage ment. 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 en tire 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 disaster management authority (NDMA) in
India. Methods and measures to avoid disasters, Management of casualties, set 06

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41 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
up of emergency facilities, importance of effective communication amongst
different agencies in such situations. Use of Inte rnet and softwares for 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 events. 09
06 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, shelte rs, early
warning and communication. Non Structural Mitigation: Community based
disaster preparedness, risk transfer and risk financing, capacity development
and training, awareness and education, contingency plans. Do‘s and don‘ts in
case of disasters and effective implementation of relief aids. 06
Assessment :

Internal: Assessment consists of two tests out of which; one should be
compulsory class test (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 s ix question
2. All question carry equal marks
3. Questions will b e mixed in nature (for example supposed Q.2 has part (a) from module 3 then part (b)
will be from any module other than module 3)
4. Only Four question need to be solved.

REFERENCES:
1. ‗Disaster Management‘ by Harsh K.Gupta, Universities Press Publications.
2. ‗Disaster Management: An Appraisal of 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 Public ations.
4. ‗Disaster Management Handbook‘ by Jack Pinkowski, CRC Press Taylor and Francis group.
5. ‗Disaster management & rehabilitation‘ by RajdeepDasgupta, Mittal Publications, New Delhi.
6. ‗Natural Hazards and Disaster Management, Vulnerability and Mitigation – R B Singh,
Rawat Publications

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42 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
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 auth entic web sites)

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43 University of Mumbai, Bio -Medical 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 ev aluation criteria of various 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 describe 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 electrica l 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 saving
measures

Module Detailed Contents Hrs
01 Energy Scenario: Present Energy Scenario, Energy Pricing, Energy Sector
Reforms, Energy Security, Energy Conservation and its Importance, Energy
Conservation Act -2001 and its Features. Basi cs of Energy and its various 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, Matchi ng energy use to requirement, Maximizing
system efficiencies, Optimizing the input energy requirements, Fuel and energy
substitution. Elements of monitoring& targeting; Energy audit Instruments; Data
and information -analysis.
Financial analysis techniques : Simple payback period, NPV, Return on
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 improvem ent, 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 pump s, industrial drives, induction
motors, motor retrofitting, soft starters, variable speed drives. 10
04 Energy Management and Energy Conservation in Thermal Systems: 10

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44 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
Review of different thermal loads; Energy conservation opportunities in: Steam
distributi on 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 syst em: Coefficient of
performance, Capacity, factors affecting Refrigeration and Air Conditioning
system performance and savings opportunities.
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, App lication of Non -Conventional 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 pr oblems 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 s ix 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 Sto kes, 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 Management Principles, C.B.Smith, Pergamon Press
6. Energy Conservation Guidebook, Dale R. Patrick, S. Fardo, Ray E. Richardson, Fairmont
Press

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45 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
7. Handbook of Energy Audits, Albert Thumann, W. J. Younger, T. Niehus, CRC Press
8. www.energymanag ertraining.com
9. www.bee -india.nic.in

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46 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
Subject Code Laboratory Name Credits
BML101 Laboratory I 01

Module Practical based on
1 Blocking Oscillator using IC555
2 Study of LVDT
3 Design and implementation of analog filters(LP, HP, BP) for Bio -signal
conditioning
4 Design and implementation of Medical Thermometer
5 Programmable Waveform Generator (XR -2240)
6 Study of Various Characteristics of sensors
7 Interfacing MSP43 0 Launch Pad and Arduino
8 Design and implementation of Biopotential Amplifier

Term work: Term work cons ists of performing 08 practical mentioned as above. Final certific ation
and acceptance of the term work ensures satisfactory performance of labor atory work.

Assessment:

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

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47 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17

Subject Code Laboratory Name Credits
BML102 Laboratory II 01

Module Practical based on
1 Design and simulation of IIR filters
2 Design and simulation of FIR filters
3 Suppression of respiratory artifacts in ECG using wavelet decomposition
4 Detection of ECG R peaks
5 Suppression of respiratory artifacts in ECG using adaptive filtering
6 Simulation of Frequency domain representation of biosignals
7 Measurement cardiac tiem intervals using simultaneously recorded ECG
and PPG
8 Simulation of autocorrelation and cross correlation for biosignals


Term work: Term work cons ists 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 in ternal and
external examiners .

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48 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
Subject Code Subject Name Credits
BMC201 BIOMEDICAL INSTRUMENTATION AND DESIGN 04

Course objectives:
 To make students to understand various types of medical instruments, their working
principles, and applications. To teach the students design concepts of some of the
medical equipments. To make students to know instruments used in ICU, ICCU units.
Instruments used for diagnosis of various disorders in body. To understand concepts of
telemedicine

Course outcome:
 Students can design elecrodiagnostic instruments, understand use of medical
equipment in various departments in the hospital and instrument‘s used for diagnostic,
therapeutic, diagnosis, monitoring purposes

Module Detailed Contents Hours
1 Introduction: Classification on the basis of applications and their
working principles, techniques of blood pressure measurement,
measurement of heart rate, measurement techniques for body
temperature, respiration rate meter, apnea detector. 8
2 Electro diagnostic techniques : Specifications and design of ECG,
EMG, EEG, PPG amplifiers and filters. 8
3 Intensive and coronary care units : Special care units, ICU/CCU
equipments, bedside monitors circuits, central montoring consoles,
physiological telemetry 8
4 Emergency equipments : Introduction and design concepts of cardiac
pacemaker and defibrillator, types and application techniques, analysis of
pacemaker and defibrillator waveform, Respiratory and pulmonary
function monitoring equipments, clinical lab equ ipments 8
5 Therapeutic and general equipments : Ultrasound therapy, short wave
therapy, nerve and muscle stimulator, infant imcubator, hemodialysis
machine, heart lung machine, cobalt therapy 8
6 Analysis and processing of biosignals , suppression of arti facts in
biosignals, extarctijng features of in biosignals, telemedicine 8


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 o r 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

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49 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
should be covered in question papers of end semester
examination.



Text Books

1. John G. Webster - Medical Instrumentation Applications and Design 3rd edition John Wiley
and Sons. Inc. 1999
2. Joseph J Carr, Joseph M. Brown - Introduction to Biomedical equipment technology, Pearson
Education. Inc. 4h ediion, 2008

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50 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
Subject Code Subject Name Credits
BMC202 BIOMEDICAL IMAGE PROCESSING 04
Course Objective:
 To understand the basics of bio -medical im age processing system s.
 To study the concept of medical images obtained with ionizing and non -ionizing radiation.
 To develop computer aided diagnosis in analyzing and quantifying biomedical data.
Course Outcome:
 A learner will be able to Apply image proc essing concepts for medical images.
 Analyze Morphology, Segmentation techniques and implement them in images.
 Do quantitative analysis and visualization of medical images of numerous modalities such as
 PET, MRI, PACS, CT, or Ultrasound .

Module Detail ed content Hours
1 Introduction to Imaging systems: Objects and images, The digital image
processing system, Applications of digital image processing. 04
2 Imaging systems:
06 The human visual pathway, Photographic film, Other sensors, Digitizing an
image, The quality of a digital image, Color images, Computer -based
activities.
3 Medical images obtained with ionizing radiation: Medical imaging 06
modalities, Images from x -rays, Images from γ-rays, Dose and risk. Medical
images obtained with non -ionizing radiation: Ultrasound imaging, Magnetic
resonance imaging, Picture archiving and communication systems (PACS).

4 Fundamentals of digital image processing, The gray -level histogram,
12 Histogram transformations and look -up tables. Image enhancement in the
spatial domain: Algebraic operations, Logical (Boolean) operations ,
Geometric operations, Convolution -based operations, Image enhancement
in the fr equency domain : The Fourier domain, The Fourier transform ,
Properties of the Fourier transform, Sampling, Cross -correlation and
autocorrelation, Imaging systems – point spread function and optical
transfer function, Frequency domain filte rs, Tomographic reconstruction.
5 Image restoration: Image degradation, Noise, Noise -reduction filters,
06 Blurring, Modeling image degradation, Geometric degradations,
Morphological image processing: Mathematical morphology,
Morpho logical operators, Extension to grayscale images. Image
segmentation: Introduction to segmentation, Thresholding, Region -based
methods, Boundary -based methods.
6 Feature recognition and classification: Object recognition and
07 classifi cation, Connected components labeling, Features, Object recognition
and classification, Statistical classification, Structural/syntactic
classification, Applications in medical image analysis. Three -dimensional:
visualization: Image visualization , Surface rendering, Volume rendering,
Virtual reality.

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51 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
7 Medical applications of Imaging: Computer -aided diagnosis in 07
mammography, Tumor imaging and treatment, Angiography, Bone strength
and osteoporosis, Tortuosity.


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 guideli nes 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

Text Book:
1. Digital Image Processing for Medical Applications, GEOFF DOUGHERTY, Cambridge
University Press.
Reference Books:
1. Medical Image Processing, Reconstruction and Restoration, Jiri Jan , Taylor & Francis

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52 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
Subject Code Subject Name Credits
BMC203 ADVANCE MEDICAL IMAGING 04

Course Objective:
 Identify the role of Imaging in clinical practice.
 To study the operating principles, processes of image acquisition, image reconstruction and
quality Control aspects of various imaging modalities.
 To study risks associated with imaging technology.
 Identify advantages and Limitations of various Imaging modalities.
 To keep the students abreast with the technological developments in the field of Medical
Imaging.

Course Outcome: A learner will able to:
 Describe essential physics, principle and physiology fundamental of Medical Imaging
systems.
 Compute image reconstructions of different imaging modalities using reconstruction methods.
 Apprehend the importance of radiation constructive utilization and safet y.
 Identify basic causes of image contrast and artefacts.
 Describe the clinical applications of each Imaging modality.
 Apply their knowledge to understanding emerging Medical Imaging technologies.

Module Detail Contents Hours
1 Introduction to Medical Im aging Techniques: Basic physics and
working principle of X -ray, Computed Tomography, Ultrasonography,
Magnetic Resonance Imaging and Nuclear Imaging. 5
2 X-Ray Imaging: X-ray m/c controls, Interaction of Radiation with Matter,
Filters, Collimators and Gri ds. Circuit design of X -ray Generator and
Timing the X -ray Exposurein Radiography. Power Ratings and
HeatLoading, X -ray Exposure Rating Charts, Charged -Coupled Devices
(CCDs), Flat Panel Detectors, Digital Radiography,
ComputedRadiography, Digital Mammogra phy,Fluoroscopy and DSA,
Patient Dose Considerations. Clinical Applications. 10
3 Computed Tomography(CT): CT generations, Detectors , Detector
Arrays , Details of Acquisition, Radon Transform, Tomographic
Reconstruction techniques: Back Projection, Convo lution and Back
Projection, Iterative methods, Fourier Method, Contrast and CT
Angiography, Radiation Dose and Safety, Image Quality, Artifacts,
Clinical Applications, Principle of 3D imaging. 8
4 Magnetic Resonance Imaging (MRI): Relaxation parameters a nd their
measurements. Magnets, RF coils and Gradients in MRI. Slice selection,
Phase encoding, Frequency encoding, Pulse Sequences: Spin Echo,
Inversion Recovery and Gradient Recalled Echo. k -space Data Acquisition
and Image Reconstruction, Functional MRI , MRI Angiography, Artifacts,
Clinical Applications, Biological effects and Safety. 10
5 Ultrasound Imaging: Interaction of ultrasound with biological matter, 7

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53 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
Ultrasound beam patterns and focusing. Ultrasound transducer and probes,
A Mode, B Mode and M M ode, Instrumentation for ultrasound imaging
system, Doppler ultrasound, Ultrasound Contrast Imaging, Clinical
Applications, Principle of 3D ultrasound, Bio effects.
6 Nuclear Imaging: Physical Half -life and Decay equation, Nuclear decay
processes, Radia tion Interactions with matter, Production of Radionuclides
used in Imaging, Pulse Height Analyser, Rectilinear Scanner, Gamma
Camera, Instrumentation of SPECT and PET, Reconstruction techniques,
PET/CT, Therapy Equipment‘s: Cobalt 60 and LINAC, clinical
applications, Biological effects and Radiation Safety. 8


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 Seminar on Advance Technolo gy related to modules .

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 quest ion
papers of end semester examination.

Text Books:
1. ―The Essential Physics of Medical Imaging‖ by Jerrold T Bushberg, J.Anthony Seibert,
Edwin M Leid holdt,John M Boone, Lippincott.
2. ―Physics of Medical Ima ging‖, Taylor and Francis Group .
3. ―Christen sen's Physics of Diagnostic Radiology ‖ by Thomas S. Curry , James E.
Dowdey , Robert E. Murry .
4. ―The Physics of Diagnostic Imaging ‖ by David Dowsett, Patrick A Kenny, R Eugene
Johnston

Reference Books:
1. Manuals of various imaging modalities.

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54 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
Subject Code Subject Name Credits
BMDLO 2021 BIORHEOLOGY 04
Course Objective:
 To understand various characteristics of tissue such as elasticity , Viscocity, Plastic ity and also
types of viscocity and Stress strain characteristics of tissue.
 Also how tissues can be modeled will be understood.

Course Outcome :
 From the terms elasticity, plasticity and viscosity , and using Stress Strain Curve,tissue
modeling can be achieved.

Module Detailed content Hours
1 Introduction: Introduction to rheology and recap of basic equations of
continuum mechanics (kinematics of deformation and stress analysis). 06
2 Constitutive equations: General theory of constitutive equations. 06
3 a. Tissue and cell elasticity:
10 Continuum approach (linear theory, nonlinear theory, strain energy
function, prestress; examples)
b. Tissue and cell elasticity:
Microstructural approach (microstructural models of living tissues ),
statistical approach (thermodynamics of elastic deformation, rubber
elasticity), examples.
4 Tissue and cell viscoelasticity: Phenomenological approach (stress
relaxation, creep, hysteresis, frequency and temperature effects), examples . 08
5 Linear viscoelasticity: Continuum approach, lumped models, empirical
models (power law, fractional calculus), structural damping, examples.
Microstructural and molecular approach, polymer chain dynamics, examples. 08
6 Elements of no nlinear viscoelasticity: Examples of empirical, semi
empiroical and molecular approaches in studies of living tissues 06

7 Elements of tissue plasticity and viscoplasticity: (permanent deformation,
hysteresis, yield stress), empirical and lumped models of plastic and
viscopalstic behavior of living tissues. 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

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55 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
to be set each of 20 marks, out of th ese any four questions to be
attempted by students. Minimum 80% syllabus should be covered in
question papers of end semester examination.


Text Books:
1. Fung, Y. C. Biomechanics – Mechanical Properties of Living Tissues, 2nd edition, Springer:
New York, 1 993.
2. Fung, Y. C. Biomechanics – Motion, Flow and Growth, Springer: New York, 1990.
3. Fung, Y. C. Biodynamics – Circulation, Springer, 1984.
4. Fung, Y. C., N. Perrone, and M. Anliker (editors). Biomechanics – Its Foundations and
Objectives, Prentice -Hall: Englewood Cliffs, NJ, 1972.
5. Mow, V. C., F. Guilak, R. Tran -Son-Tay, and R. Hochmuth (editors). Cell Mechanics and
Cellular Engineering, Springer: New York, 1994.
6. Mofrad, M. R. K., and R. D. Kamm (editors). Cytoskeletal Mechanics: Models and
Measurements . Cambridge U niversity Press: New York 2006

Reference Books:
1. M. R. King (editor). Principles of Cellular Engineering: Understanding the Biomolecular
Interface. Elsevier Academic Press, 2006.
2. Abé, H., K. Hayashi, and M. Sato (editors). Data Book on Mec hanical Properties of Living
Cells, Tissues, and Organs, Springer: Tokyo, 1996.
3. Silver, H. F. Biological Materials: Structure, Mechanical Properties, and Modeling of Soft
Tissues, New York University Press: New York, 1987.10. Ward, I. M. Mechanical P roperties
of Solid Polymers, 2ndedition, Wiley: Chicester, 1983
4. Turner, A., Jr. Mechanical Behavior of High Polymers, Interscience: New York, 1984.
5. Erich, F. R. (editor). Rheology – Theory and Applications, Vol. 1 -Academic Press, 1956

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56 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
Subject Code Subject Name Credits
BMDLO 2022 ROBOTICS IN BIOMEDICAL ENGINEERING 04

Course Objective:
 To Understand Control of actuators in Robotic Mechanisms, robotic sensors and Kinematics
of Robotic Arms

Course Outcome :
 It helps the learner to d esign a Robot for various applications like Surgery, therapy and
clinical applications.

Module Detailed content Hours
1 Introduction to robotics and its Applications in Biomedical
Engineering: Classification, Specification, Robot programming, Surgical
application, Rehabilitation application, Clinical application. 06


2 Control of actuators in Robotic Mechanisms: Closed loop control in a
position servo, Control of robotic joint, Stepper Motors, Brushless DC
motors, Direct drive a ctuator, Hydraulic actuators, Pneumatic systems, Servo
amplifiers. 08


3 Robotic Sensory Devices : Non-optical position sensors, Optical position
sensors, Robot calibration using an optical incremental encoder, Instability
resulting from usi ng an incremental encoder, Velocity sensors,
Accelerometers, Proximity sensors, Touch and slip sensors, Force and torque
sensors. 08



4 Robot Arm kinematics :
12 Direct kinematics problem, Inverse kinematics solution.
Robot Arm Dynamics
Lagrange‘s equation, Kinetic and Potential energy, Generalised force,
Lagrange -Euler dynamic model, Dynamic model for Two -Axis Planar
articulated Robot & three axis SCARA robot, Direct and Inverse dynamics,
Recursive Newton -Euler formulation, Dynamic model of One -axis
Robot (Inverted endulum).
5 Workspace analysis and trajectory planning Robot Vision : Digitization
of image, Image segmentation, Edge detection, Shape analysis, Iterative
Processing, Algorithms for image processing, Structured Illumination,
Derivation of depth measurement using laser (Ranging by triangulation),
Problems based on template matching, Shape analysis, region labelling,
run length encoding, Perspective & inverse perspective transfo rmations. 08





6 Fuzzy logic control : Fuzzy control: what is needed, Crisp values vs. Fuzzy
Values, Fuzzy Sets: Degree of Membership and Truth, Fuzzification, Fuzzy
Inference Rule Base, Defuzzification, Application of Fuzzy logic in
Robotics. 06

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57 University of Mumbai, Bio -Medical 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 o f end semester examination.

Text Books:
1. Richard D. Klafter, Thomas A. Chmiclewski and Michael Negin, ―Robotic Engineering: an
integrated approach,‖ Prentice -Hall India,India, 2003.
2. K. S. Fu, R. C. Gonzalez and C. S. G. Lee, ―Robotics: Control, Sensing, Vision, and
Intelligence,‖ McGraw Hill, Singapore, 1987.

Reference Books:
1. Robert J. Schilling, ―Fundamentals of Robotics: Analysis and Control,‖ Prentice -Hall India, India,
2005.
2. Saeed B. Niku, ―Introduction to Robotics: Analysis, Systems, Application s,‖ Pearson, India, 2003.
3. John J. Craig, ―Introduction to Robotics: Mechanics and Control,‖ Third Edition, Pearson, India,
2009.

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58 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
Subject Code Subject Name Credits
BMD LO2023 NEURAL NETWORKS 04

Course Objective:
 To understand the basic concepts of artificial neural network (ANN) ,study the various ANN
Models , study single layer and multilayer feed forward neural networks , familiarize about the
support vector machine and adaptive resonance theory , study the basic concepts of Fuzzy sets
and syste m, learn ANN in biomedical applications

Course Outcome :
 A Learner will be able to apply concepts of ANN in Biomedical applications , apply concepts
of Fuzzy Sets in Biomedical applications
Module Detailed content Hours
1 Introduction to Neural Net works: Introduction, Humans and
Computers, Organization of the Brain, Biological Neuron, Biological
and Artificial Neuron Models, Characteristics of ANN, McCulloch -
Pitts Model, Historical Developments, Potential Applications of
ANN.

06
2 Essentials of A rtificial Neural Networks: Artificial Neuron Model,
Operations of Artificial Neuron, Types of Neuron Activation
Function, ANN Architectures, Classification Taxonomy of ANN
Connectivity, Learning Strategy (Supervised, Unsupervised,
Reinforcement), Learning Rules 08
3 Single Layer and Multi Layer Feed forward Neural Networks:
Introduction, Classification of Perceptron Models: Discrete,
Continuous and Multi -Category, Training and classification using
Discrete Perceptrons: Algorithm examples. Linear ly separable
classifications. Multicategory single layer perceptron networks.
Lineraly nonseparable classification, Delta learning Rule, Feed
forward recall and error back - propagation training. Learning factors.
Kolmogorov Theorem, Learning Diffic ulties and Improvements. 10
4 Special Networks: Adaptive Resonance Theory (ART):
Introduction, ART Fundamentals,
ART 1, ART 2. Support Vector Machine (SVM): Introduction, Optimal
Hyper plane for linearly separable and non separable patterns, SVM for
Pattern recognition and Nonlinear Regression. Radial basis Function
Network (RBFN): Architecture and training Algorithm. 08
5 Classical & Fuzzy Sets and Fuzzy Logic System Components:
Introduction to classical sets - properties, Operations and relations ;
Fuzzy sets, Membership, Uncertainty, Operations, properties, fuzzy
relations, cardinalities, membership functions, Fuzzification,
Membership value assignment, development of rule base and
decision making system, Defuzzification to crisp sets ,
Defuzzification methods. 10
6 Neural Networks applications in Biomedical: Brain Maker to
improve Hospital Treatment using Adaline, Breast cancer Detection
using ART network, Access control by Face recognition using Back
propagation Neural network. 06

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59 University of Mumbai, Bio -Medical 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.

Text Boo ks:
1. S. Rajasekharan and G. A. Vijayalakshmipai, ―Neural Networks, Fuzzy logic, Genetic
algorithms: synthesis and applications‖, PHI Publication, 2004.
2. John Yen and Reza Langan, ―Fuzzy Logic: Intelligence, Control and Information‖, Pearson
Education, 2004 .

Reference Books:
1. Simon Haykin, ―Neural Networks - A comprehensive foundation‖, Pearson Education, 2001.
2. S. N. Sivanandam, S. Sumathi,S. N. Deepa ―Introduction to Neural Networks using MATLAB
6.0‖, TMH, 2006.
3. James A Freeman and Davis Skapura, Neural Networks Pearson Education, 2002.
4. Timothy J. Ross, ― Fuzzy Logic With Engineering Applications‖, McGraw -Hill Inc. 1997.

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60 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
Subject Code Subject Name Credits
BMDLO 2024 COMPUTER NETWORKING IN MEDICINE 04
Course Objective:
 To understand various techniques for data communication and data transfer Enable the leaner
to know about Application Layer Data Link Layer Network Layer Transport Layer

Course Outcome:
 It helps the leaner to know how computer networking takes place in medicine by Application
Layer Data Link Layer Network Layer , Transport Layer

Module Detailed content Hours
1 Data Communications : Components, Direction of Data flow Networks -
Components and Categories, types of Connections, Topologies, Protocols
and Standards – OSI model, TCP/IP Protocol 06


2 Data Transmission
06 Transmission Media – Coaxial Cable – Fiber Optics – Line Coding –
Modems – RS232 Interfacing sequences
Circuit Switching, Throughput, bandwidth, T1, ISDN, DSL
3 Data Link Layer : Types of errors, Error detection and correction Methods -
Block Codes, Cyclic Codes, checksum Data link Control Protocols - stop and
wait , go back -N ARQ , selective repeat ARQ, HDLC. Wired and wireless
LAN/WAN, connecting LANs, backbone net works LAN 08




4 Network Layer
08 Internetworks – Packet Switching and Datagram approach – IP addressing
methods – Subnetting – Routing – Distance Vector Routing – Link State
Routing – Routers.
5 Transport Layer
10 Duties of transport layer, Multiplexing, Demultiplexing, Sockets, User
Datagram Protocol (UDP), Transmission Control Protocol (TCP) -
Congestion Control, Quality of services (QOS).
6 Application Layer 05 Domain Name Space (DNS) , SMTP, FTP, HTTP, WWW, SNMP
7 Security Concepts
05 System security in general, Authentication, Authorization, Confidentiality,
Integrity, Cryptography

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61 University of Mumbai, Bio -Medical 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.

Text Books:
1. Computer Network – Behrouz A. Forouzan, McGraw Hill.
Reference B ooks:
1. Computer Networks – Andrew S. Tanenbaum

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62 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
Subject Code Subject Name Credits
BMDLO 2025 LASERS AND FIBER OPTICS FOR THERAPY AND
SURGERY 04

Course Objec tive:
 To Understand the ba sic Physics of generation of lasers ,Types of Lasers ,its construction,
general construction of Optic fiber, Modes and need of Laser and fiber optics in medicine.

Course Outcome :
 It enables the learner to u nderstand the Types of laser and its Medical applications and various
safety aspects and trouble shooting


Module Detailed content Hours
1 Introduction :
10 Historical background. Medical Lasers: Introduction, Laser physics -
fundamentals, principles, advances, Medical L asers -fundamentals,
principles, advances. Medical Laser Systems -fundamentals, principles.
Laser safety -fundamentals. Laser interaction with tissue -principles; laser
assisted diagnostics -principles, applications of lasers in diagnosis and
imaging -advances, laser surgery and therapy -principles -photothermal &
photomechanical mechanisms, thermal interaction between laser and tissue -
advances.

2 Single Optical Fibres:
08 Introduction, historical background, optical fibers -fundamentals, light
transmission in optical fibers -principles, optical properties of optical fibers -
advances, fabrication of optical fibers -principles, optical fibers for UV,
visible, IR light -principles, power transmission through o ptical fibers -
principles, modified fiber ends and tips -principles, fiber lasers -advances.

3 Optical Fibre Bundles:
10 Introduction, non -ordered fiber optic bundles for light guides -fundamentals
& principles, ordered fiberoptic bundl es for imaging devices -fundamentals
& principles, fiberscopes and endoscopes -fundamentals, fiber optic imaging
systems -advances.
4 Applications of Lasers in Therapy and Diagnosis:
08 Introduction, laser assisted diagnosis and therapy -fundament als, interaction
of laser beams and materials -principles.
5 Clinical Applications of Fiber Optic Laser System:
12 Introduction, fiberoptic laser systems in cardiovascular disease,
gastroenterology, gynecology, neurosurgery, oncology, ophthalmology,
orthopedics, otolaryngology (ENT), urology, and flow diagram for laser
angioplasty & photodynamic therapy. Endoscopy

Assessment:

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63 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
Internal: Assessment consists of two tests out of which; one should be
compulsory class test (on min imum 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.

Text Books:
1. Lasers and Optical Fibers in Medicine – AbrahimCatzir Academic press 1998.

Reference Books:
1. Therapeutic Laser s – G David Baxter – Churchill Living stone publications
2. Medical Laser and their safe use – David H Shiny Stiffen and L Trokel Springer
Publications
3. Element of Fiber optics – S. L. Wymer Regents PHI

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64 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
Subject Code Departmental Elective Course : Subject Name Credits
BMDLO 2026 Hospital Management and Information System 04

Course Objective:
 To understand various features like hospital management, planning and design of various
divisions in a hospital. Also emphasise is given on patient safety and certain Legal aspects

Course Outcome:
 The leaner will be able to understand the complete designing of the hospital, its safety for
patients, Also helps in understanding the supporting units in a hospital and hoe to deal v arious
legal matters in a hospital

Module Detailed content Hours

Introduction to Management : Process of Management and Basic Management
Principles, Role of Hospital Administrator. 05
1



Computers in Medicine: Compu ters in Biomedical Applications, Role of
computers in data collection and analysis, computer aided decision making,
computer based medical record. 05
2





Planning and designing: Planning and design considerations of various dept. like
OT, OPD, CSSD, Nursing unit, ICUs, Pathology, Radiology, Pharmacy and
others. 12
3



Hospital Safety and Management: Security and Safety of hospital property, staff
and patients. Importance of Disaster management , medical codes. 04
4



Patient safety: Electrical beds, double insulation system, patient isolation,
grounding, rectification of ground faults. 04
5



Hospital Services: Clinical services, Suppotive services, Auxillary services and
Ancillary services. 14
6



7 Legal Aspect: Health Insurance, Quality assurance, Medico legal aspects, Medical
Ethics. 04



Assessment:
Internal: Assessment consists of two tests out of which; one shou ld 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 o f 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

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65 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17




Text Books:
1.Electrical safety in Healthcare facility – H. H. Roth
2. Hos pital Planning, Design and Management -Kunders





Reference Books:

1. Biomedical Ethics for Engineers - Domiel A Vallero
2. Computer in Medicine – R. D. Lele

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66 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
Subject Code Subject Name Credits
ILO2021 PROJE CT 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 wor k 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 Management Foundation: Definition of a project, Project Vs
Operations, Necessity of project management, Triple constraints, Project life
cycles (typical & atypical) Project phases and stage gate process. Role of project
manager. Negotiations and resolving conflicts. Project management in various
organization structures. PM knowledge areas as per Project Management
Institute (PMI). 5
02 Initiating Projects: How to get a project started, Selecting project strategically,
Project selection models (Numeric /Scoring Models and Non -numeric models),
Project portfolio process, Project sponsor and creating charter; Project proposal.
Effective p roject team, Stages of team development & growth (forming,
storming, norming & performing), team dynamics. 6
03 Project Planning and Scheduling: Work Breakdown structure (WBS) and
linear responsibility chart, Interface Co -ordination and concurrent engin eering,
Project cost estimation and budgeting, Top down and bottoms up budgeting,
Networking and Scheduling techniques. PERT, CPM, GANTT chart.
Introduction to Project Management Information System (PMIS). 8
04 Planning Projects: Crashing project time, R esource loading and leveling,
Goldratt's critical chain, Project Stakeholders and Communication plan. Risk
Management in projects: Risk management planning, Risk identification and risk
register. Qualitative and quantitative risk assessment, Probability an d impact
matrix. Risk response strategies for positive and negative risks 6
05 5.1 Executing Projects: Planning monitoring and controlling cycle. Information
needs and reporting, engaging with all stakeholders of the projects.
Team management, communicat ion and project meetings.
5.2 Monitoring and Controlling Projects: Earned Value Management 8

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67 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
techniques for measuring value of work completed; Using milestones for
measurement; change requests and scope creep. Project audit.
5.3 Project Contracting : Project procurement management, contracting and
outsourcing,
06 6.1 Project Leadership and Ethics: Introduction to project leadership, ethics in
projects. Multicultural and virtual projects.
6.2 Closing the Project: Customer acceptance; Reasons of project ter mination,
Various types of project terminations (Extinction, Addition, Integration,
Starvation), Process of project termination, completing a final report; doing a
lessons learned analysis; acknowledging successes and failures; Project
management templa tes and other resources; Managing without authority; Areas
of further study. 6

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 ass ignment 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 shou ld 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 s ix 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, , Wil ey India
5. Dennis Lock, Project Management, Gower Publishing England, 9 th Ed.

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68 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
Subject Code Subject Name Credits
ILO2022 FINANCE MANAGEMENT 03

Objectives :
 Overview of Indian financial system, instruments and market
 Basic concepts of value of money, returns and risks, corporate finance, working capital and its
management
 Knowledge about sources of finance, capital structure, dividend policy
Outcomes: Learner will be able to…
 Understand Indian finance system and corporate finance
 Take investment, finan ce 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 Ins truments — Equity Shares, Preference Shares, Bonds -Debentures,
Certificates of Deposit, and Treasury Bills. Financial Markets: Meaning,
Characteristics and Classification of Financial Markets — Capital Market, Money
Market and Foreign Currency Market . Finan cial Institutions: Meaning, Characteristics
and Classification of Financial Institutions — Commercial Banks, Investment -Merchant
Banks and Stock Exchanges 06
02 Concepts of Returns and Risks: Measurement of Historical Returns and Expected
Returns of a Sin gle 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.
Fina ncial 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; St ock Market Ratios; Limitations of Ratio Analysis. 09
04 Capital Budgeting: Meaning and Importance of Capital Budgeting; Inputs for Capital
Budgeting Decisions; Investment Appraisal Criterion —Accounting Rate of Return,
Payback Period, Discounted Payback Pe riod, Net Present Value(NPV), Profitability
Index, Internal Rate of Return (IRR), and Modified Internal Rate of Return (MIRR)
Working Capital Management: Concepts of Meaning Working Capital; Importance of
Working Capital Management; Factors Affecting an En tity‘s Working Capital Needs;
Estimation of Working Capital Requirements; Management of Inventories;
Management of Receivables; and Management of Cash and Marketable Securities. 10
05 Sources of Finance: Long Term Sources —Equity, Debt, and Hybrids; Mezzan ine
Finance; Sources of Short Term Finance —Trade Credit, Bank Finance, Commercial
Paper; Project Finance.
Capital Structure: Factors Affecting an Entity‘s Capital Structure; Overview of
Capital Structure Theories and Approaches — Net Income Approach, Net Op erating
Income Approach; Traditional Approach, and Modigliani -Miller Approach. Relation
between Capital Structure and Corporate Value; Concept of Optimal Capital Structure 05

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69 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
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 Approach 03

Assessment :

Internal: Assessment consists of two tests out of which; one should be
compulsory cl ass 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 th ese 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 t he syllabus.

1. Question paper will comprise of total s ix question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part (b)
will be from any module other than module 3)
4. Only Four question need to be solved.


REFERENCES:
1. Fundamentals of Financial 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. Higgi ns; Publishers: McGraw
Hill Education, New Delhi.
3. Indian Financial System, 9th Edition (2015) by M. Y. Khan; Publisher: McGraw Hill Education, New
Delhi.
4. Financial Management, 11th Edition (2015) by I. M. Pandey; Publisher: S. Chand (G/L) & Company
Limited , New Delhi.

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

Objectives:
 To acquaint with entrepreneurship and management of business
 Understand Indian environment for entrepreneurship
 Idea of E DP, MSME
Outcomes: Learner will be able to…
 Understand the concept of business plan and ownerships
 Interpret key regulations and legal aspects of entrepreneurship 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 the National Economy, Functions of an Entrepreneur,
Entrepreneurship and Forms of Business Owner ship
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, Ma nagement and Personnel, Start -up Costs
and Financing as well as Projected Financial Statements, Legal Section,
Insurance, Suppliers and Risks, Assumptions and Conclusion, Capital and its
Importance to the Entrepreneur
Entrepreneurship And Business Develop ment: Starting a New Business,
Buying an Existing Business, New Product Development, Business Growth and
the Entrepreneur Law and its Relevance to Business Operations 09
03 Women‘s Entrepreneurship Development, Social entrepreneurship -role and
need, EDP c ell, role of sustainability and sustainable development for SMEs,
case studies, exercises 05
04 Indian Environment for Entrepreneurship: key regulations and legal aspects ,
MSMED Act 2006 and its implications, schemes and policies of the Ministry of
MSME, role and responsibilities of various government organisations,
departments, banks etc., Role of State governments in terms of infrastructure
developments and support etc., Public private partnerships, National Skill
development Mission, Credit Guarantee F und, PMEGP, discussions, group
exercises etc 08
05 Effective Management of Business: Issues and problems faced by micro and
small enterprises and effective management of M and S enterprises (risk
management, credit availability, technology innovation, sup ply 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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71 University of Mumbai, Bio -Medical 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 minimum 02 Modules) and the other
is either a class test or assignment on live problems or cou rse
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. 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 s ix question
2. All question carry equal marks
3. Questions wi ll 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 E nterprise, Pearson
2. Education Robert D Hisrich, Michael P Peters, Dean A Shapherd, Entrepreneurship, latest edition, The
McGrawHill Company
3. Dr TN Chhabra, Entrepreneurship Development, Sun India Publications, New Delhi
4. Dr CN Prasad, Small and Medium Enterpr ises 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, CII E, IIM Ahmedabad
8. Law and Practice relating to Micro, Small and Medium enterprises, Taxmann Publication Ltd.
9. Kurakto, Entrepreneurship - Principles and Practices, Thomson Publication
10. Laghu Udyog Samachar
11. www.msme.gov.in
12. www.dcmesme.gov.in
13. www.msmetraini ng.gov.in

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72 University of Mumbai, Bio -Medical 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 practices of the human resource
management.
 To provide opportunity of learning Human resour ce Management (HRM) processes, related
with the functions, and challenges in the emerging perspective.
 To familiarize the students about the latest developments, trends & different aspects of HRM.
 To acquaint the student with the importance of behavioral s kills, 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 b e able to…
 Gain knowledge and understand the concepts about the different aspects of the human
resource management.
 Understand and tackle the changes and challenges in today‘s diverse, dynamic organizational
setting and culture.
 Utilize the behavioral skil l 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 a nd managers.

Module Detailed Contents Hrs
01 Introduction to HR : Human Resource Management - Concept, Scope and
Importance, Interdisciplinary Approach Relationship with 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 Organizational Behavior (OB) : Introduction to OB Origin, Nature and Scope
of Organizational Behav ior, Relevance to Organizational Effectiveness and
Contemporary issues , Personality: Meaning and Determinants of Personality,
Personality development, Personality Types, Assessment of Personality Traits
for Increasing Self Awareness , Perception: Attitude a nd 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 i nformal groups and stages of group development. Team
Effectiveness: High performing teams, Team Roles, cross functional and self -
directed team. Case study 7
03 Organizational Structure & Design : Structure, size, technology, Environment 6

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73 University of Mumbai, Bio -Medical 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: Sourc es 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 meth ods, 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 devel opment , managing
processes & transformation in HR. Organization al Change, Culture,
Environment, Cross Cultural Leadership and Decision Making : Cross Cultural
Communication and d iversity at work , Causes of diversity, managing diversity
with special referen ce 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 Process, 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 Unions 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 s ix 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)

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74 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
4. Only Four question need to be solved.

REFERENCES:

1. Stephen Robbins, Organizational Behavior, 16th Ed, 2013
2. V S P Rao, Human Resource Management, 3rd Ed, 2010, Excel publishing
3. Aswathapa, Human resource management: T ext & 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. SubbaRao, Essentials of Human Resource management and Industrial relations, 5th Ed,
2013, Hima laya Publishing
6. Laurie Mullins, Management & Organizational Behavior, Latest Ed, 2016, Pearson
Publications

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Subject Code Subject Name Credits
ILO2025 PROFESSIONAL ETHICS AND CORPORAT 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
 Demonstra te professional ethics
 Understand legal aspects of corporate social responsibility

Module Detailed Contents Hrs
01 Professional Ethics and Business: The Nature of Business Ethics; Ethical Issues in
Business; Moral Responsibility and Blame; Utilitarianis m: Weighing Social Costs and
Benefits; Rights and Duties of Business 04
02 Professional Ethics in the Marketplace: Perfect Competition; Monopoly Competition;
Oligopolistic Competition; Oligopolies and Public Policy
Professional Ethics and the Environment: Dimensions of Pollution and Resource
Depletion; Ethics of Pollution Control; Ethics of Conserving Depletable Resources 08
03 Professional Ethics of Consumer Protection: Markets and Consumer Protection;
Contract View of Business Firm‘s Duties to Consumers ; Due Care Theory; Advertising
Ethics; Consumer Privacy
Professional Ethics of Job Discrimination: Nature of Job Discrimination; Extent of
Discrimination; Reservation of Jobs. 06
04 Introduction to Corporate Social Responsibility: Potential Business Benef its—Triple
bottom line, Human resources, Risk management, Supplier relations; Criticisms and
concerns —Nature of business; Motives; Misdirection.
Trajectory of Corporate Social Responsibility in India 05
05 Corporate Social Responsibility: Articulation of Gandhian Trusteeship
Corporate Social Responsibility and Small and Medium Enterprises (SMEs) in India,
Corporate Social Responsibility and Public -Private Partnership (PPP) in India 08
06 Corporate Social Responsibility in Globalizing India: Corporate Soci al 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 either a class test or assignment on live problems or course
project.

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76 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
End Semester Examination: Some guidelines for setting the question papers are as, six questions
to be se t 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 s ix 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: Springer.
2. Corporate Social Responsibility: Readings and Cases in a Global Context (2007) by Andrew
Crane, Dirk Matten, Laura Spence; Publisher: Routledge.
3. Business Ethics: Concepts and Cases, 7th Edition (2011) by Manuel G. Velasquez; Publisher:
Pearson, New Delhi.
4. Corporate Social Responsibility in India (2015) by Bidyut Chakrabarty, Routled ge, New
Delhi.

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77 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
Subject Code Subject Name Credits
ILO2026 RESEARCH METHODOLOGY 03
Objectives :
 To understand Research and Research Process
 To acquaint students with identifying problems for research and develop research strategi es
 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 repo rt 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 R esearch : Basic Research , Applied Research , Descriptive Research ,
Analytical R esearch , Empirical Research , Qualitative and Quantitative
Approaches 08
03 Research Design and Sample 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 Methodology , Stages in
Scientific Research Process
a. Identification and Selection of Research Problem
b. Formulation of Research Problem
c. Review of Literature
d. Formulation of Hypothesis
e. Formulation of research Design
f. Sample Design
g. Data Collection
h. Data Analysis
i. Hypothesis testing and Interpretation of Data
j. Preparat ion of Research Report 08
05 Formulating Research Problem : Considerations: Relevance, Interest, Data
Availability, Choice of data, Analysis of data, Generalization and Interpretation
of analysis 04
06 Outcome of Research : Preparation of the report on con clusion reached ,
Validity Testing & Ethical Issues , Suggestions and Recommendation 04

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78 University of Mumbai, Bio -Medical 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 t est 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% syl labus 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 s ix 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, Pra ctical 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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79 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
Subject Code Subject Name Credits
ILO2027 IPR AND PATENTING 03

Objectives:
 To understand intellectual property rights protection system
 To promote the knowledge of Intellectual Property Laws of India as well a s International
treaty procedures
 To get acquaintance with Patent search and patent filing procedure and applications
Outcomes: Learner will be able to…
 understand Intellectual Property 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 - Patent s, Trademarks, Copyrights,
Industrial Designs, Plant variety protection, Geographical indications, Transfer
of technology etc.
Importance of IPR in M odern Global Economic Environment: Theories of
IPR, Philosophical aspects of IPR laws, Need for IPR, IPR a s an instrument of
development 05
02 Enforcement of Intellectual Property Rights: Introduction, Magnitude of
problem, Factors that create and sustain counterfeiting/piracy, International
agreements, International organizations (e.g. WIPO, WTO) activein IP R
enforcement
Indian Scenario of IPR: Introduction, History of IP R in India, Overview of IP
laws in India, Indian IPR, Administrative Machinery, Major international treaties
signed by India, Procedure for submitting patent and Enforcement of IPR at
nation al level etc. 07
03 Emerging I ssues 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 -patent able inventions, Types of patent applications (e.g. Patent of
addition etc), Process Patent and Product Patent , Precautions while patenting,
Patent specification Patent claims , Disclosures and non -disclosures, Patent rights
and infringement , Method of gett ing 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 F iling a Patent (National and International): Legislation and
Salient Features, Patent Search, Drafting and Filing Patent Applications,
Processing of patent, Patent Litigation, Patent Publicationetc, Time frame and
cost, Patent Licensing, Patent Infringement
Patent databases: Important websites, Searching international databases 07

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80 University of Mumbai, Bio -Medical 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 co vered
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 s ix question
2. All question carry e qual 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 La ws 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 National Working
Group on Patent Laws
3. T Sengupta, 2011, Intellectual Property Law i n India, Kluwer Law International
4. Tzen Wong and Graham Dutfield ,2010, Intellectual Pr operty 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. PrabhuddhaGanguli, 2012, Intellectual Property Rights, 1st Edition, TMH
8. R Radha Krishn an & S Balasubramanian, 2012, Intellectual Property Rights, 1st Edition,
Excel Books
9. M Ashok Kumar andmohdIqbal Ali, 2-11, Intellectual Property Rights , 2nd Edition, Serial
Publications
10. KompalBansal and PraishitBansal, 2012, Fundamentals of IPR for Engine ers, 1st Edition, BS
Publications
11. Entrepreneurship Development and IPR Unit, BITS Pilani, 2007, A Manual on Intellectual

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81 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
Property Rights,
12. Mathew Y Maa, 2009, Fundamentals of Patenting and Licensing for Scientists and Engineers,
World Scientific Publishing Company
13. N S Rathore, S M Mathur, PritiMathur, AnshulRathi , IPR: Drafting,Interpretation of Patent
Specifications and Claims , New India Publishing Agency
14. Vivien Irish , 2005, Intellectual Property Rights for Engineers ,IET
15. Howard B Rockman, 2004, Intellectual Property Law for Engineers and scientists, Wiley -
IEEE Press

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82 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17

Subject Code Subject Name Credits
ILO2028 PRODUCT LIFE CYCLE M ANAGEMENT 03
Objectives:
 To familiarize with digital 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 management
 Prepare E -business plan
Module Detailed content Hours
1 Introduction to Digital Business: Introduction, Background and current
status, E -market places, structures, mechanisms, economics and impacts
Difference between physical economy and digital economy,
Drivers of digital business - Big Data & Analytics, Mobile, Cloud
Comput ing, Social media, BYOD, and Internet of Things(digitally intelligent
machines/services) Opportunities and Challenges in Digital Business, 09
2 Overview of E -Commerce: E -Commerce - Meaning, Retailing in e -
commerce -products and services, consumer behavior, market research and
advertisement B2B -E-commerce -selling and buying in private e -markets,
public B2B exchanges and support services, e -supply chains, Collaborative
Commerce, Intra business EC and Corporate portals Other E -C models and
applications, innovat ive 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,
Launchi ng a successful online business and EC project, Legal, Ethics and
Societal impacts of EC 06
3 Digital Business Support services : ERP as e –business backbone,
knowledge Tope Apps, Information and referral system, Application
Development: Building Digita l 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, ryptogr aphy,
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, challenges and E -Transition
(Process of Digital Transformation) 04
6 Materializing e-business: From Idea to Realization -Business plan preparation
Case Studies and presentations 08

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83 University of Mumbai, Bio -Medical 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. Minimu m 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 s ix question
2. All question carry equal marks
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part (b)
will be from any module other than module 3)
4. Only Four question need to be solved.



REFERENCES:

1. A textbook on E -commerce , Er Arunrajan Mishra, Dr W K Sarwade,Neha Publishers &
Distributors, 2011
2. E-commerce from vision to fulfilment, Elias M. Awad, PHI-Restricted, 2002
3. Digital 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 Business 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 consult ing journal
Vol.5
10. Measuring Digital Economy -A new perspective -DOI: 10.1787/9789264221796 -en OECD
Publishing

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84 University of Mumbai, Bio -Medical 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 environment related legislations
Outcomes: Learner will be able to…
1. Understand th e 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 Environ ment
Management for contemporary managers, Career opportunities.
Environmental issues relevant to India, Sustainable Development, The Energy
scenario. 10
02 Global Environmental concerns : Global Warming, Acid Rain, Ozone
Depletion, Hazardous Wastes, Enda ngered 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 certificati on. 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 guidelines for setting the question papers are as, six questions
to be set ea ch 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

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85 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
number of respective lect ure hours as mention in the syllabus.

1. Question paper will comprise of total s ix 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 tha n 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 Environmental Management Edited by Jon C. Lovett and David G. Ockwell,
Edward Elg ar 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 Indian Standards, February 2005
5. Environmental Management: An Indian Pers pective, 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 Hussain, 3rd Ed. Access Publishing.2015

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86 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
Subject Code Laboratory Name Credits

BML201 Laboratory III 01

Module Practicals based on
1 To Design and implementation of heart rate meter
2 To Design and implementation of brady -cardia and tachycardia detector
3 To Design and implemen tation of ECG pre amplifier
4 To Design and implementation of nerve muscle stimulator
5 To Design and implementation of asynchronous cardiac pacemaker
6 To Design and implementation of apnea detector
7 To Design and implementation of signal conditioning for PPG signal
8 To Design and implementation of implementation of analog filter for biosignals

Term work: Term work consists of pe rforming 08 practical mentioned as above. Final certification
and acceptance of the term work ensures sati sfactory 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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87 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
Subject Code Laboratory Name Credits

BML202 Labor atory IV 01

Module Practicals based on
1 Filtering in Frequency domain
2 Filtering in Spatial Domain
3 Skeletonisation
4 Biomedical Image Compression Biomedical Image Compression
5 Reconstruction using Filter Back Projection
6 Reconstruction using algebraic technique
7 Feature Extraction
8 Statistical Processing (Histogramic, Rescaling)


Term work: Term work consi sts of performing 08 practical mentioned as above. Final certification
and acceptance of the term work ens ures 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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88 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
Subject Code Subject Name Credits
BMS301 Seminar 03




Guidelines for Seminar :
o Seminar should be based on thrust areas in Bio-medical 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 topic 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:
• Qual ity of Literature survey and Novelty 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 examin er. 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 Research 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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89 University of Mumbai, Bio -Medical Engineering, Rev 2016 -17
Subject Code Subject Na me Credits
BMD301 / Dissertation (I and II) 12 + 15
BMD401



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 multipl e
literatures and understand the problem. Students 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 assessed 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 sc ope
• 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 reputed International /
National Conference / Refereed Journal.