BE Biomdecal EnggSem VII VIII _1 Syllabus Mumbai University

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AC – 06/04/2023
Item No. – 6.3 (R)




University of Mumbai





Revised Syllabus for

B.E. (Biomedical Engineering)

Semester – (VII & VIII)
(Choice Based Credit System)

(With effect from the academic year 2022 -23)

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Preamble
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 Science and Technology (in
particula r Engineering) of University of Mumbai has taken a lead in incorporating philosophy of outcome
based education in the process of curriculum development.
Faculty resolved that course objectives and course outcomes are 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. Choice based Credit and grading system enables a much -
required shift in focus from teacher -centri c to learner -centric education since the workload estimated is
based on the investment of time in learning and not in teaching. It also focuses on continuous evaluation
which will enhance the quality of education. Credit assignment for courses is based on 15 weeks teaching
learning process, however content of courses is to be taught in 12-13 weeks and remaining 2-3 weeks to be
utilized for revision, guest lectures, coverage of content beyond syllabus etc.
There was a concern that the earlier revised curriculum more focused on providing information and
knowledge across various domains of the said program, which led to heavily loading of students in terms
of direct contact hours. In this regard, faculty of science and technology resolved that to minimiz e the burden of
contact hours, total credits of entire program will be of 170, wherein focus is not only on providing knowledge but
also on building skills, attitude and self learning. Therefore in the present curriculum skill based laboratories and
mini projects are made mandatory across all disciplines of engineering in second and third year of programs, which
will definitely facilitate self learning of students. The overall credits and approach of curriculum proposed in the
present revision is in line with AICTE model curriculum.
The present curriculum will be implemented for Second Year of Engineering from the academic year 2020 -
21. Subsequently this will be carried forward for Third Year and Final Year Engineering in the academic
years 2021 -22, 2022 -23, respectively.
Dr. S. K. Ukarande
Associate Dean
Faculty of Science and Technology

Member, Academic Council, RRC in Engineering

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University of Mumbai

Incorporation and implementation of Online Contents from
NPTEL/ Swayam Platform



The curriculum revision is mainly focused on knowledge component, skill based activities and project based
activities. Self learning opportunities are provided to learners. In the revision process this time in particular
Revised syllabus of ‘C ‘ scheme wherever possible additional resource links of platforms such as NPTEL,
Swayam are appropriately provided. In an earlier revision of curriculum in the year 2012 and 2016 in
Revised scheme ‘A' and ‘B' respectively, efforts were made to use online c ontents more appropriately as
additional learning materials to enhance learning of students.
In the current revision based on the recommendation of AICTE model curriculum overall credits are
reduced to 171, to provide opportunity of self learning to learner. Learners are now getting sufficient time
for self learning either through online courses or additional projects for enhancing their knowledge and skill
sets.
The Principals/ HoD’s/ Faculties of all the institute are required to motivate and en courage learners to use
additional online resources available on platforms such as NPTEL/ Swayam. Learners can be advised to
take up online courses, on successful completion they are required to submit certification for the same. This
will definitely help learners to facilitate their enhanced learning based on their interest.


Dr. S. K. Ukarande
Associate Dean
Faculty of Science and Technology

Member, Academic Council, RRC in Engineering
University of Mumbai

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Preface By BoS
Engineering is an innovative field, the origin of ideas leading to everything from automobile to aerospace,
skyscrapers to sonar. Biomedical Engineering focuses on the advances that improve human health and
health care at all levels. Biomedical engineering is an inter disciplinary field with application of the
principles of Basic Sciences, Mathematics, Engineering fundamentals and Biology for problem -solving.

The curriculum is designed to meet the challenges by include new age courses on Machine Learning,
Artificial Intelligence, Data Analytics and other emerging technologies, dismantling the walls between
engineering and scientific disciplines. The key to generate a new paradigm shift for careers in Biomedical
Engineering for the next generation of talented minds lies in imparting high-quality education in
Engineering.

Every course in the curriculum lists the course objectives and course outcomes for the learners tounderstand
the skills that the learner will acquire after completing that course. Program outcomes are the skills and
knowledge that a student will acquire during the course of four years of this engineering program. In line
with this, Faculty of Technology of University of Mumbai has taken a lead in incorporating the philosophy
of outcome based education in the process of curriculum development.
As the Chairman, Board of Studies in Biomedical Engineering of the University of Mumbai, I am happy
to state here that, the Program Educational Objectives for undergraduate program were thoughtfully framed
by faculty members from different affiliated institutes of the university. They are Heads of Departments
and senior representatives from the Department of Biomedical Engineering.
The Program Educational Objectives for the undergraduate program in Biomedical engineering are listed
below;
1. To prepare the learner with a sound foundation in the Human Physiology, Mathematics, Electronics,
Computer Programming and engineering fundamentals.

2. To motivate the learner for self-learning, logical & analytical thinking and use of modern tools for solving
real life problems.

3. To impart technical knowledge, competency skills, professional and ethical attitude, good leadership
qualities to contribute in the field of healthcare.

4. To prepare the Learner for a successful career in healthcare industry such as sales & marketing, research
& development, hospital administration and also to venture into higher education and entrepreneurship.


Board of Studies in Biomedical Engineering
Dr. Manali J. Godse : Chairman
Dr. Prem C. Pandey : Member
Dr. Mita Bhowmick : Member
Dr. Mrunal R. Rane : Member
Dr. Vaibhavi A. Sonetha : Member

Page 9

Program Structure for Fourth Year Engineering
Semester VII & VIII
UNIVERSITY OF MUMBAI
(With Effect from 2022 -2023)

Semester VII


Course
Code
Course Name Teaching Scheme
(Contact Hours)
Credits Assigned
Theory Pract.
Tut. Theory Pract. Total
BMC701 Biomedical
Instrumentation – III 3 -- 3 -- 3
BMC702 Machine Learning 3 -- 3 3
BMDO701X Department Optional
Course – 3 3 -- 3 -- 3
BMDO702X Department Optional
Course – 4 3 -- 3 -- 3
BMIO701 Institute Optional Course
– 1 3 -- 3 -- 3
BML701 Biomedical
Instrumentation – III Lab -- 2 -- 1 1
BML702 Machine Learning Lab -- 2 -- 1 1
BMDL701X Department Optional
Course – 3 Lab -- 2 -- 1 1
BMP701 Major Project - I -- 6# -- 3 3
Total 15 12 15 6 21


Course
Code

Course Name Examination Scheme
Theory
Term
Work
Prac/
oral

Total Internal Assessment End
Sem
Exam Exam.
Duration
(in Hrs) Test1 Test
2 Avg
BMC701 Biomedical
Instrumentation – III 20 20 20 80 3 -- -- 100
BMC702 Machine Learning 20 20 20 80 3 -- -- 100
BMDO701X Department Optional
Course – 3 20 20 20 80 3 -- -- 100
BMDO702X Department Optional
Course – 4 20 20 20 80 3 -- -- 100
BMIO701 Institute Optional Course
– 1 20 20 20 80 3 -- -- 100
BML701 Biomedical
Instrumentation – III Lab -- -- -- -- -- 25 25 50
BML702 Machine Learning Lab -- -- -- -- -- 25 25 50
BMDL701X Department Optional
Course – 3 Lab -- -- -- -- -- 25 25 50
BMP701 Major Project - I -- -- -- -- -- 25 25 50
Total -- -- 100 400 -- 100 100 700

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# indicates work load of Learner (Not Faculty), for Major Project
Sem. VII: Department Optional Course – 3
BMDO7011: Biological Modeling and Simulation
BMDO7012: Bioinformatics
BMDO7013: IoT based Systems

Sem. VII: Department Optional Course – 4
BMDO7021: Rehabilitation Engineering
BMDO7022: Lasers and Fibre Optics
BMDO7023: Networking and Information Systems in Medicine

Sem. VII: Institute Level Optional Course –I
ILO1011: Product Lifecycle Management
ILO1012: Reliability Engineering
ILO1013: Management Information System
ILO1014: Design of Experiments
ILO1015: Operation Research
ILO1016: Cyber Security and Laws
ILO1017: Disas ter Management and Mitigation Measures
ILO1018: Energy Audit and Management
ILO1019: Development Engineering

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Semester VIII


Course
Code
Course Name Teaching Scheme
(Contact Hours)
Credits Assigned
Theory Pract. /Tut. Theory Pract. Total
BMC801 Hospital Management 3 -- 3 -- 3
BMDO801X Department Optional Course – 5 3 -- 3 -- 3
BMDO802X Department Optional Course – 6 3 -- 3 -- 3
BMIO801 Institute Optional Course - 2 3 -- 3 -- 3
BML801 Hospital Management Lab -- 2 -- 1 1
BMDL801X Department Optional Course – 5
Lab -- 2 -- 1 1
BMP801 Major Project - II -- 12# -- 6 6
Total 12 16 12 8 20


Course
Code

Course Name Examination Scheme
Theory
Term
Work
Prac
/oral

Total Internal Assessment End
Sem
Exam Exam.
Duration
(in Hrs) Test
1 Test
2 Avg
BMC801 Hospital Management 20 20 20 80 3 -- -- 100
BMDO801X Department Optional Course – 5 20 20 20 80 3 -- -- 100
BMDO802X Department Optional Course – 6 20 20 20 80 3 -- -- 100
BMIO801 Institute Optional Course - 2 20 20 20 80 3 -- -- 100
BML801 Hospital Management Lab -- -- -- -- -- 25 25 50
BMDL801X Department Optional Course – 5
Lab -- -- -- -- -- 25 25 50
BMP801 Major Project - II -- -- -- -- -- 50 100 150
Total -- -- 80 320 -- 100 150 650
# indicates work load of Learner (Not Faculty), for Major Project
Sem. VIII: Department Optional Course – 5
BMDO8011: Robotics in Medicine
BMDO8012: Healthcare Informatics
BMDO8013: Artificial Intelligence in Medicine

Sem. VIII: Department Optional Course – 6
BMDO8021: Biomedical Microsystems
BMDO8022: Medical Device Regulations
BMDO8023: Ergonomics

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Sem. VIII: Institute level Optional Course - II
ILO2021: Project Management
ILO2022: Finance Management
ILO2023: Entrepreneurship Development and Management
ILO2024: Human Resource Management
ILO2025: Professional Ethics and Corporate Social Responsibility (CSR)
ILO2026: Research Methodology
ILO2027: IPR and Patenting
ILO2028: Digital Business Management
ILO2029: Environmental Management

Students group and load of faculty per week.
Mini Project 1 and 2 :
Students can form groups with minimum 2 (Two) and not more than 4 (Four)
Faculty Load : 1 hour per week per four groups


Major Project 1 and 2 :
Students can form groups with minimum 2 (Two) and not more than 4 (Four)
Faculty Load : In Semester VII – ½ hour per week per project group
In Semester VIII – 1 hour per week per project group

Page 13

Course
Code Course Name Teaching scheme Credit assigned


BMC701 Biomedical
Instrumentation - -
III
(Abbreviated as
BMI -III) Theory Pract. Tut. Theory Pract. Tut. Total

03
--
--
03
--
--
03



Course
Code
Course
Name Examination Scheme
Theory
Term
work
Pract.
Oral
Pract. /
Oral
Total Internal Assessment End
sem Dura
tion
(hrs) Test 1 Test 2 Avg.

BMC701 Biomedical
Instrumenta
tion- -III
(BMI -III)
20
20
20
80
03
--
--
--
--
100


Course Code Course Name Credits
BMC701 Biomedical Instrumentation - -III 03

Course
Objectives • To understand the basic principles and working of life Saving Equipment.
• To develop skills enabling Biomedical Engineers to serve the health care industry
• To develop core competency and skill in the field of Biomedical Engineering, to design and
develop new health care systems.



Course
Outcomes Learner will be able to…
• Distinguish between the types of pacemakers on the basis of ICHD code and analyze the
various circuits.
• Apply the knowledge of electronics to analyze defibrillator circuits.
• Explain the importance of use of Anesthesia machine and Capnograph during Surgery.
• Explain the basic principle, working and applications of surgical equipment with safety
aspects.
• Explain the importance of measurement of oxygen saturation in human body and application of
heart lung machine during surgery. Semester – VII

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Module Contents Hours

1 Cardiac Pacemakers
Need for a pacemaker, modes of operation, classification codes for pacemaker, external and
implantable pacemaker, programmable pacemaker, Power sources for pacemakers, leads and
electrodes, recent developments of Implantable Pacemakers.
09

2 Cardiac Defibrillator
Need for defibrillator, D C defibrillator, modes of operation and electrodes, performance
aspects of dc-defibrillator, implantable defibrillator, cardioverter.
08

3 Physiotherapy equipments
Basic principle, working and technical specifications of
1.Shortwave Diathermy
2. Ultrasonic therapy unit
3. Nerve and Muscle Stimulator.
06

4 Surgical equipment
Operation theatre Lights and Table.
Surgical Diathermy machine, automated electrosurgical systems, electrodes used with surgical
diathermy, safety aspects in electronic surgical units.
08
5 Heart Lung machine
Heart Lung Machine and types of oxygenators 04

6 Oximeters
Basics of oximeter, In -vitro and In -vivo oximetry, ear oximetry, pulse oximetry, skin
reflectance oximeters, intravascular oximeters,
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.

Books Recommended:
Text books:
1. Handbook of Biomedical Instrumentation (Third edition): R S. Khandpur. (PH Pub)
2. Medical Instrumentation, Application and Design: J G. Webster. (John Wiley)
3.Biomedical Instrumentation and measurements: Leslie Cromwell, Fred J. Weibell, Enrich A.
Pfeiffer. (PHI Pub)

Reference books:
1. Introduction to Biomedical Equipment Technology: Carr –Brown.
2. Encyclopedia of Medical Devices and Instrumentation: J G. Webster. Vol I - IV
3. Various Instrument Manuals.
4. Various internet websites.

Theory Examination :
1. Question paper will comprise of total 06 questions, each carrying 20 marks.
2. Total 04 questions need to be solved.
3. Question No: 01 will be compulsory and based on entire syllabus wherein sub -questions of
marks will be asked.
4. Remaining questions will be randomly selected f rom all the modules.

Page 15

Course
Code Course Name Teaching scheme Credit assigned

BMC702
Machine Learning
(Abbreviated as ML) Theory Pract. Tut. Theory Pract. Tut. Total
03 -- -- 03 -- -- 03





Course
Code

Course
Name Examination Scheme
Theory
Term
work

Pract

Oral Pract
. /
Oral

Total Internal Assessment End
sem Dura
tion
(hrs) Test
1 Test
2 Avg.

BMC702 Machine
Learning
(ML)
20
20
20
80
3
--
--
--
--
100

Course
Code Course Name Credits
BMC702 Machine Learning 03

Course
Objectives • To build a strong base in artificial intelligence through algorithm development.
• To develop competency in logical thinking, computer programming and knowledge
application.
• To train and motivate for higher education and research in order to make contribution
to state of the art health care for all
Course
outcomes Learner will be able to
• Understand the fundamental techniques and applications in neural network, deep
learning and machine learning.
• Understand supervised and unsupervised learning, back propagation and descent
algorithms.
• Understand and implement efficient computational techniques using neural network,
deep learning and machine learning.
• Design and implement neural network models for deep learning, thus a strong base for
artificial intelligent systems.

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14
University of Mumbai, Biomedical Engineering, Rev 2022 -23



1 Learning methods:
Introduction, types of learning, supervised learning, unsupervised learning,
statistical learning, reinforcement learning, elements of reinforcement learning,
model based learning, temporal difference learning, linear regression, least squares,
linear regression for polynomial regression task, logistic regression, model selection
and validation.

06


2 Clustering: Introduction, mixture densities, k-means clustering, expectation -
maximization algorithm, supervised learning after clustering, spectral clustering,
hierarchical clustering, choosing the number of clusters.
Decision Trees: Introduction, unvariant trees, rule extraction from trees, learnin g
rules form data, multivariate trees, clustering, overfitting and evaluation.


3 Design and analysis of machine learning experiments: Introduction, factors,
response, and strategy of experimentation, response surface
design randomization, replication, and blocking, guidelines for machine learning
experiments, cross -validation and resampling methods, measuring performance
classifier

06


4 Introduction of artificial neural networks: structure and function of a biological
neurons, artificial neuron models, concepts of neural network, single layer and
multilayer preceptor, structure of an ANN, feed-forward neural network, gradient
descent, back propagation, architectures of neural networks, optimization of neural
network model

06


5 Architecture and training the ANN: Type of learning the neural network, training
of a single -layer neural network, delta rule, designing ANN models, radialbasis
function, overview of learning rules and parameters, activation functions,
multilayer feed forward network, backpropagation networks, architecture, radial
basis function network

07


6 Fundamentals of deep networks: Deep Learning, architectural principles of deep
networks, parameters, layers, loss function, optimization algorithms, hyper
parameters, building blocks of deep networks, architectures of deep networks,
convolutional neural networks, architecture of convolutional neural networks, input
layers, convolutional layers, pooling layers, fully connected layers, recurrent
neural networks, architecture of recurrent neural network

07

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.


Books Recommended:
Text books
1. Introduction to Machine Learning, 3rd edition, Ethem Alpaydin, PHI Learning Private
Limited, New Delhi, 2015
2. Deep Learning by Josh Patterson and Adam Gibson, O’Reilly Media, Inc., Gravenstein
Highway North, Sebastopol CA, 2017
3. Neural Networks and Learning Machines Third Edition, Simon Haykin, Pearson, Prentice
Hall, 2009

Reference books
1. Machine learning in Action, Peter Harrington, dreamtech Press, New Delhi, 2012
2. Machine learning, Tom M, Mitchell, Mc Graw Hill Education(India) Private Limited New
Delhi, 2013

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15
University of Mumbai, Biomedical Engineering, Rev 2022 -23

Useful Links:
1. Course 1: Introduction to Machine Learning
https://nptel.ac.in/courses/1061061392 .
2. Course 2 : Introduction to Machine Learning
https://onlinecourses.nptel.ac.in/noc22_cs29/preview

Theory Examination :
1. Question paper will comprise of total 06 questions, each carrying 20 marks.
2. Total 04 questions need to be solved.
3. Question No: 01 will be compulsory and based on entire syllabus wherein sub -questions of
marks will be asked.
4. Remaining questions will be randomly selected from all the modules.

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University of Mumbai, Biomedical Engineering, Rev 2022 -23

Course
Code

Course Name Teaching Scheme Credits Assigned
Theory Pract. Tut The
ory Pract. Tut Total


BMDO7011 Biological
Modeling and
Simulation
(Abbreviated as
BMS)

03

--

-

03

--

-

03




Course
Code


Course Name Examination scheme
Theory Marks
Ter
m
wo
rk


Pract.


Oral


Total Internal Assessment End
Sem
exam Test 1 Test 2 Avg.

BMDO7011 Biological
Modeling and
Simulation
20
20
20
80
-
-
-
100





Course Code
Course Name
Credits
BMC702 Biological Modeling and Simulation 03

Course
Objectives • To understand basic concepts of modeling for designing biological model.
• To simulate physiological processes for better understanding.
• To develop competency in terms of logical thinking, programming and
application skills
• To train and motivate students for pursuing higher education and research for
developing cutting edge technologies.


Course
Outcomes A learner will be able to:
• Categorise different types of biological models.
• Develop a model of a neuron using Hodgkin Huxley exp setup.
• Differentiate a spindle receptor and Golgi tendon bodies.
• Design a quantitative model for eye movement system.
• Understand a basic model of a thermoregulatory system.
• Understand the behaviour of immune system

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17
University of Mumbai, Biomedical Engineering, Rev 2022 -23




Module Contents Time
1 Physiological modeling :
Steps in modeling, purpose of modeling, lumped parameter models, distributed
parameter models, compartmental modeling, modeling of circulatory system. 04


2 Model of neurons:
Biophysics tools, Nernst Equation, Donnan Equilibrium, active transport (Pump)
GHK equation, action potential, voltage clamp, channel characteristics, Hodgkin -
Huxley conductance equations, simulation of action potential, electrical equi valent
model of a biological membrane, impulse propagation - core conductor model, cable
equations.

11
3 Neuromuscular system:
Modeling of skeletal muscle, mono and polysynaptic reflexes, stretch reflex,
reciprocal innervations, two control mechanism, Golgi tendon, experimental
validation, Parkinson’s syndrome. 06
4 Eye movement model:
Four eye movements, quantitative eye movement models, validity criteria. 06
5 Thermo -regulatory systems:
Thermoregulatory mechanisms, electrical model of thermoregulatory system,
controller model, validation and application. 06


6 Modeling of other physiological systems.
Modeling the immune response:
Behavior of the immune system, linearized model of the immune response.
Modeling of insulin glucose feedback system and Pulsatile insulin secretion

06

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University of Mumbai, Biomedical Engineering, Rev 2022 -23


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.

Books Recommended:
Text books:
1. Bioengineering, Biomedical, Medical and Clinical Engg.: A.Teri Bahil.
2. Signals and systems in Biomedical Engg.: Suresh R Devasahayam.
3. Bio-Electricity A quantitative approach by Barr and Ploncey

Reference Books:
1. Biomedical Engineering Handbook by Bronzino (CRC Press)

Theory Examination :
1. Question paper will comprise of total 06 questions, each carrying 20 marks.
2. Total 04 questions need to be solved.
3. Question No: 01 will be compulsory and based on entire syllabus wherein sub -questions
will be asked.
4. Remaining questions will be randomly selected from all the modules.

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19
University of Mumbai, Biomedical Engineering, Rev 2022 -23
Course
Code Course Name Teaching scheme Credit assigned


BMDO7012 Department
Optional
Course – 3
Bioinformatics
(Abbreviated as BI
) Theory Pract. Tut. Theory Pract. Tut. Total


03

--

--

03

--

--

03


Course Course Examination Scheme
Code Name Theory Term Pract. Oral Pract. / Total

Internal Assessment End
sem Dura
tion
(hrs) work Oral
Test 1 Test 2 Avg.



BMDO7012 Departm
ent
Optional
Course – 3
Bioinform
atics
( BI)


20


20


20


80


03


--


--


--


--


100





Course Code Course Name Credits
BMDO7012 Bioinformatics 03

Course Objectives • The course introduces the students to the field of Bioinformatics.
• To make students aware about the methods to characterize and manage the different types
of biological data.
• To introduce students to the basics of sequence alignment and analysis.



Course
Outcomes Learner will be able to
• Get introduced to the basic concepts of Bioinformatics and its significance in Biological
data analysis.
• Apply knowledge of basic principles of mathematics and statistics.
• Apply existing software effectively to extract information from large databases
and to use this information in computer modelling
• Apply problem -solving skills to multivariate methods in bioinformatics
• Search and apply bioinformatics tools to analyse and interpret biological data

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20
University of Mumbai, Biomedical Engineering, Rev 2022 -23














Module Contents Hours


1 Introduction to bioinformatics and biological databases:
Basic principles of genetics , cells, DNA and chromosome, genes and the genome,
DNA sequencing, proteomics, discovery of gene sequence.
Human genome project, biological databases and their classification, genome
sequence databases, protein structure databases, composite databases.

08

2 Statistical methods used in bioinformatics:
Basic statistical modelling and Bayesian inference, gene expression and microarray
analysis, sequence alignment, sequence pattern discovery, combining sequence and
expression information.
10


3 Algorithms in bioinformatics:
Introduction, dynamic programming and sequence alignment, Needleman –Wunsch
algorithm , Greedy algorithms for Genome rearrangement, string algorithm,
breakpoint graph, approximation algorithm, FASTA and BLAST algorithms..
08

4 Multivariate Methods in Bioinformatics:
Multivariate normal distribution, multivariate hypothesis tests, principlecomponent
analysis, orthogonal factor model, linear discriminant analysis, classification
methods, Naïve Bayes classification.
06

5 Applications and tools of bioinformatics:
Sequence alignment and dotplot, DNA sequence analysis, protein sequence analysis,
database similarity search, phylogenic analysis and tree construction, gene, protein
and tissue microarray.
07

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21
University of Mumbai, Biomedical Engineering, Rev 2022 -23




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.

Recommended Online Courses ( optional):
1. “Bioinformatics and Computational Biology” offered by IIT Kanpur
https://piazza.com/iitk.ac.in/secondsemester2018/bse322a/
2. “Network Analysis in Systems Biology” offered by Icahn School of Medicine at Mount Sinai,
in New York City https://www.coursera.org/learn/network -biology
3. “Bioinformatics: Introduction and Methods” from Peking University.
https://w ww.coursera.org/learn/bioinformatics -pku
4. “Biology Meets Programming : Bioinformatics for Beginners”, offered by UC San Diego
https://www.coursera.org/learn/bioinformatics





Books Recommended:
Text books:
1. Basics of Bioinformatics, Rui Jiang, Xuegong Zhang, Michael Q. Zhang, Springer, E-book.
2. Introduction to Bioinformatics, Arthur M. Lesk, Oxford University Press, 2002, First Edition.

Reference Books:
1. Essential Bioinformatics, Jin Xiong, Cambridge University Press, 2006, First Edition.

Theory Examination :
1. Question paper will comprise of total 06 questions, each carrying 20 marks.
2. Total 04 questions need to be solved.
3. Question No: 01 will be compulsory and based on entire syllabus wherein sub -questions
will be asked.
4. Remaining questions will be randomly selected from all the modules.

Page 24

22
University of Mumbai, Biomedical Engineering, Rev 2022 -23



Course
Code Course Name
Teaching scheme
Credit assigned

BMDO7013 IoT Based Systems
(Abbreviated as
IoT) Theory Pract. Tut. Theory Pract. Tut. Total
03 -- -- 03 -- -- 03



Course
Code
Course
Name Examination Scheme
Theory
Term
work
Pract.
Oral
Pract. /
Oral
Total Internal Assessment End
sem Dura
tion
(hrs) Test 1 Test 2 Avg.

BMDO7013 IoT Based
Systems
(IoT)
20
20
20
80
03
--
--
--
--
100





Course Code
Course Name
Credits
BMDO7013 IOT Based Systems 03


Course
Objectives • Learn the concepts of IOT
• Identify different technologies and schemes
• Learn different applications in IOT
• Learn different protocols used in IOT
• Learn how to analyze the data in IOT


Course
Outcomes Learner will be able to
• Apply the concepts of IOT
• Identify and select different technologies and scheme for IOT applications
• Apply IOT to different applications
• Analyze and evaluate protocols used in IOT systems
• Analyze dataflow in IOT systems

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University of Mumbai, Biomedical Engineering, Rev 2022 -23



Module Contents Hours

1 Introduction:
History of IoT, Objects in IoT, Identifier in the IoT, Technologies in IoT.
What are wireless sensors, Sensor family, Architecture of single node sensor.
04

2 IoT schemes and models:
Block diagram of an IoT device (node), characteristics of IoT, functional blocks of IoT,
communication models. IoT levels and deployment templates. IoT enabling
technologies.
08

3 IoT stack:
M2M stack and examples, IoT stack and examples, IoT stack variants, difference
between IoT and M2M.
IoT Access Technologies: Physical and MAC layers, IEEE 802.15.4, 802.15.4g,
802.15.4e, 1901.2a, 802.11 and LoRaWAN.
08

4 Network and Communication Aspects:
Network Layer Protocols: IPv4 and IPv6, Constrained nodes and Constrained networks
Optimizing IP for IoT: From 6LoWPAN to 6Lo, routing over low power and lossy
networks.
Application Layer Protocols: CoAP and MQTT.
05

5 Components of IoT:
IoT platform design methodology.
IoT end device computing –boards based on microcontroller and SoC. Sensor
technologies, sensor data communication protocols: UART, SPI, I2C.
06

6 IoT Case Studies:
Home automation, smart cities, environment monitoring and control, agriculture, retail
sector, healthcare and lifestyle, logistics and supply chain, access control and tracking.
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.


Recommended Online Courses ( optional):
1) Introduction To Internet Of Things
By Prof. Sudip Misra | IIT Kharagpur
https://onlinecourses.nptel.ac.in/noc22_cs52/preview

2) Introduction To Industry 4.0 And Industrial Internet Of Things
By Prof. Sudip Misra | IIT Kharagpur
https://onlinecourses.nptel.ac.in/noc22_cs52/preview

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University of Mumbai, Biomedical Engineering, Rev 2022 -23


Books Recommended:
Text books:
1) Internet of Things: A Hands -On Approach, Arshdeep Bahga, Vijay Madisetti, universi ties
press.
2) IOT fundamentals, David, Gonzalo, Patrick, Cisco press.
3) Data and Computer communications, william stallings, Pearson Education.
4) Data communication and networking, Behrouz A. Forouzan, McGraw Hill Education
Communication Networks, Alberto Leon Garcia, McGraw Hill Education.

Reference Books:
1) Computer Networks, S. Tanenbaum, Pearson Education.
2) Computer Networking: A Top -Down Approach, J. F. Kurose and K. W. Ross, Addison
Wesley.

Theory Examination :
1. Question paper will comprise of total 06 questions, each carrying 20 marks.
2. Total 04 questions need to be solved.
3. Question No: 01 will be compulsory and based on entire syllabus wherein sub -questions
will be asked.
4. Remaining questions will be randomly selected from all the modules.

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University of Mumbai, Biomedical Engineering, Rev 2022 -23
Course
Code Course
Name Teaching scheme Credit assigned
Department Level Theory Pract. Tut. Theory Pract. Tut. Total


BMDO7021 Optional Course –
4
Rehabilitation
Engineering
(Abbreviated as
03
03
--
--
03
RE)





Course
Code


Cours
e
Name Examination
Scheme
Theor
y
Term
work
Pract.
Oral Pract.
/ Oral
Total Internal Assessment End
sem Dur
atio
n(h
rs) Test
1 Test
2 Av
g.




BMDO70
21 Department
Level
Optional
Course - IV
Rehabilitatio
n
Engineering
(Abbreviate
das RE)


20


20


20


80


03


--


--


-
-


-
-


100



Course
Code Course Name Credits
BMDO7021 Rehabilitation Engineering 03

Course
Objectives • To Introduce the socio -legal aspects of Rehabilitation Engineering
• To understand the importance of Orthotics, and Prosthesis
• To introduce learners to basics of Kinetics and Kinematics.
• To understand the flow properties of blood.
• To understand various upper and lower limb deformities.
• To understand the rehabilitation management of various deformities


Course
Outcomes A learner will be able to

• Understand the basic difference between Impairment, Disability and Handicap
• Understand the reasons for Amputation, need of Orthosis, Prosthesis.
• Understand the human joint’s stability.
• Understand the flow pattern of blood in normal and abnormal conditions.
• Understand management of simple to complex deformities
• Understand the rehabilitation management during paralytic conditions of the limb

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University of Mumbai, Biomedical Engineering, Rev 2022 -23







Module Contents Hours

1 Introduction and socio -legal aspects of rehabilitation engineering:
Medical rehabilitation, epidemiology of rehabilitation, preventive rehabilitation,impairment
disability and handicap.
03




2 Orthotics, amputation, and prosthetics, activities of daily living (ADL): Orthotics: General
principles of orthotics, biomechanics of orthotics, classification: upper & lower extremity
orthotics, spinal orthotics
Amputation & prosthetics: Causes of amputation, types of amputation, and levelsof
amputation for upper and lower extremity, preoperative and post -operative period. pre -
prosthetic stage, endo & exo -skeletal prosthetics, classification of upper& lower limb
prosthetics
Activities of daily living: ADL grouping, Barthel’s index of ADL, functionalindependence,
measures, environmental control system, communication, ADL
training.



10



3 Mechanical principles of Kinematics and Kinetics:
Planar classification of position and motion, rotary and translatory motion, degree of freedom,
kinematic chain theories of motion, levers, torque, parallel force,resolution of force, calculation
of muscle and joint forces
Clinical application on weight and center of gravity ,applied weights and resistance,muscle
force and leverage, joint forces, clinical application on stretching versus joint mobilization.


06

4 Flow properties of blood: An outline of blood rheology, constitutive equation ofblood based
viscometric data and Casson’s equation, laminar flow of blood in atube, fluid mechanical
interaction of RBCs with a solid wall, thrombus formation and dissolution, medical application
of blood rheology.
06

5 Common deformities and role of surgery in rehabilitation engineering. Typesof deformities,
management of 1st and 2nd degree deformities, common deformitiesof lower limb, treatment for
partial foot deformities, deformities of the foot, arm Deformities, torticollis
06


6 An overview of rehabilitation of muscular dystrophy, paraplegia, and quadriplegia:
Muscular dystrophy, Duchenne muscular dystrophy, rehabilitation, facioscapulohumeral
muscular dystrophy
Paraplegia: Etiology, mechanism of injury, identification of level of lesion, management of
active spinal cord injury, rehabilitation, gait training
Quadriplegia: Mobility, training, level of injury & outcome, management.

08

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University of Mumbai, Biomedical Engineering, Rev 2022 -23













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.
Books Recommended:
Text books:
1. BRUNNSTROM'S CLINICAL KINESIOLOG, By Laura K Smith, Elizabeth
Laurance Weiss; Jaypee brothers Publication
2. Mechanical properties of living tissues by Y. C. Fung

Reference Books:
1. Textbook of Rehabilitation by S. Sundar,3rd edition Jaypee publication


Theory Examination:
1. Question paper will comprise of total 06 questions, each carrying 20 marks.
2. Total 04 questions need to be solved.
3. Question No: 01 will be compulsory and based on entire syllabus wherein sub -
questions of marks will be asked.
4. Remaining questions will be randomly selected from all the modules.

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University of Mumbai, Biomedical Engineering, Rev 2022 -23

Course
Code Course Name Teaching scheme Credit assigned

BMDO7022 Lasers & Fiber
Optics Theory Pract. Tut. Theory Pract. Tut. Total

03
--
--
03
--
--
03


Course
Code
Course
Name Examination Scheme
Theory
Term
work
Prac
t
Oral
Pract.
/ Oral
Total Internal Assessment End
sem Dura
tion
(hrs) Test 1 Test 2 Avg.

BMDO7022 Lasers &
Fiber
Optics

20

20

20

80

03

--

--

--

--

100


Course Code Course Name Credits
BMDO7022 Lasers & Fibre Optics 03



Course Objectives • To help the students to build up a detailed knowledge of the methods,
fabrication, and applications of lasers & fiber optics in medical engineering.
• To create a platform for students to have deeper understanding on the
fundamental principles of lasers and Optical fibers in bio-photonic systems.





Course Outcomes Learner will be able to:

• Understand types of optical source and its emission properties.
• Analyze the various types of lasers and their medical applications
• Familiarize the fundamentals of optical fibers.
• Understand the interaction of laser with tissue along with its applications
• Understand and implement the use of lasers and optical fibers for surgery
and sensing.

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University of Mumbai, Biomedical Engineering, Rev 2022 -23

Module Contents Hours


1. Introduction to optical radiation, emission & resonator:
Spontaneous and stimulated emission, Einstein's coefficients, gain coefficient,
laser oscillation conditions, population inversion, three and four level systems,
rate equations, optical resonators and types, modes and mode stability criteria,
losses in optical resonators -quality factor.

06



2. Types of Lasers:
Working principle of Ruby laser, dye laser, argon ion laser, solid state lasers -
fundamental and higher harmonic generation.
Detailed study of semiconductor lasers, Nd: YAG laser - flash lamp pumped and
diode pumped lasers, He -Ne laser, CO2 laser, excimer laser, nitrogen laser, free
electron laser, Ti: Saphire laser, rare earth doped and photonic crystal fiber based
lasers, soliton lasers.
Chemical lasers, metal vapors lasers, medical applications of Lasers.


07


3. Fundamentals of fiber optics:
Classification of fibers - step index, graded index fiber, numerical aperture, modes
in optical fiber, single mode and multimode fiber, V - parameter, evanescent
modes, losses in fiber, dispersion in fiber, special fiber -polariz ation maintaining
fiber, non-linear effects in optical fiber, fiber fabrication techniques,
splicing.

07


4. Photobiology & bioimaging:
Interaction of light with cells and tissues, photo -processes in biopolymers, human
eye and vision, optical fiber delivery system, Optical coherence tomography,
Applications of bio-imaging: bio -imaging probes and fluorophores,
Endoscopy.

06



5. Optical sensors:
MM and SM fibers for sensing, Lasers & LEDs suitable for sensing, PIN & APDs
for fiber optic sensing.
Principles of electro optic modulators bulk & integrated optic modulators, optical
sensor types, advantages and disadvantages of fiber optic sensors, intensity
modulated sensors, interferometric sensors, rotation sensors, bio
sensors.


07


6. Laser and fiber activated therapy:
Photodynamic therapy, photo -sensitizers for photodynamic therapy, tissue
engineering using light, Laser system in cardiovascular disease, gastroenterology,
gynecology, neurosurgery, oncology, ophthalmology,
orthopedics, otolaryngology (ENT), urology, lasers and fibers in skin treatment.

06

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University of Mumbai, Biomedical Engineering, Rev 2022 -23



Internal 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.



Books Recommended:
Textbooks:

 Tu Vo Dinh, Biomedical Photonics: A Handbook - CRC Press, Boca Raton, FL 2003
 V N Prasad, Introduction to Biophotonics, Wiley -Interscience, 2003
 Orazio Svelto, Principles of Lasers, 4thEdn, Plenum Press, 1998
 Dakin J and Culshow B., (Ed), Optical fiber sensors, Vol I,II, III, Artech House, 1998
 Francis T.S Yu, Shizhuo Yin (Eds), Fiber Optic Sensors, Marcel Dekker Inc., New York, 2002
 Silfvast. W T., Laser Fundamentals, Cambridge University Press, New Delhi, 1998
Reference Books:
 Lihong V and Hsin -IWU, Biomedical Optics -Principles, and Imaging - Wiley Interscience 1st
ed. 2007
 Mark E.Brezinski, Optical Coherence Tomography -Principles and Applications -(Academis
Press 1st ed. 2006)
 Rodney Cotterill, Biophysics –An Introduction (John Wiley Student edition)
 Valery .V.Tuchin, A Handbook of Optical Biomedical diagnostics, SPIE press monograph vol
pm 107
 Bahaa E. A Saleh & Malvin Carl Teich, Fundamentals of Photonics, John Wiley & Sons, 1991
 Jeff Hecht, The Laser Guide Book, McGraw Hill, 1986
 Koechner (W alter), Solid State Laser Engineering, Springer, 1992
 Marvin J. Weber, Handbook of Lasers, CRC Press, 2001
 Yariv A, Optical Electronics, 4thEdn, Holt, Rinehart and Winston, 1991


Theory Examination :
1. Question paper will comprise of total 06 questions, each carrying 20 marks.
2. Total 04 questions need to be solved.
3. Question No: 01 will be compulsory and based on entire syllabus wherein sub -questions
will be asked.
4. Remaining questions will be randomly selected from all the modules

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University of Mumbai, Biomedical Engineering, Rev 2022 -23



Course
Code Course Name Teaching scheme Credit assigned




BMDO7023 Department
Optional
Course – 4
Networking and
Information
Systems in
Medicine
(Abbreviated as
NISM) Theory Pract. Tut. Theory Pract Tut Total



03


--


--


03


--


--


03



Course
Code

Course Name Examination Scheme
Theory
Term
work
Pract
Oral
Pract
/ Oral
Total Internal Assessment End
sem Dura
tion
(hrs) Test
1 Test
2 Avg.




BMDO7023 Department
Optional
Course – 4
Networking
and
Information
Systems in
Medicine
(NISM)



20



20



20



80



03



--



--



--



--



100



Course Code Course Name Credits
BMDO7023 Networking and Information Systems in Medicine 03


Course
Objectives • To understand the fundamental component of computer Networking.
• To understand the functioning and configuration of various networking devices and
components.
• To understand a concept about network security.
• Understand various Information system used in Healthcare System
• To understand the healthcare IT infrastructure Understand various IHE domains

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University of Mumbai, Biomedical Engineering, Rev 2022 -23




Course
Outcomes Learners will be able to:
• Understand the fundamental components of computer networks and networking
protocols.
• Understand IP addressing, functioning and configuration of various networking
devices and components
• Understand concepts about network security
• Understand the PACS components, architecture and PACS tele radiology
• Understand HIS, RIS, integration of HIS/RIS/PACS, PACS archive storage
• Understand IHE and IHE domains










Module Contents Hours
1. PACS Components; PACS generic workflow; PACS architectures: stand -alone,
client -server, and web -based; PACS and teleradiology 06
2. Introduction to RIS and HIS, HIS/RIS/PACS integration; PACS archive storage:
RAID; HIPPA 06
3. Integrating Healthcare Enterprise: IHE workflow model, IHE domains, IHE patient
information reconciliation profile, IHE radiology information integration profile 06
4. Performance of network/device parameters: bandwidth, throughput, jitter, latency
network technology; types of cables and connectors, crossover and straight through
cables, colour coding of cables; OSI Model; TCP/IP, Addressing types (IP, MAC,
Port & Specific)
08
5. IP V4 addressing, subnetting, supernetting; IP V6 addressing; Detailed working of
networking equipment: Hub, bridge , switch, router, modem 07
6. Basic Security Concepts:
Security Mechanism and security services, authentication, authorization,
confidentiality, integrity, non-repudiation; Symmetric and asymmetric key
cryptography, RSA algorithm 06

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University of Mumbai, Biomedical Engineering, Rev 2022 -23



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.
Books Recommended:

Textbooks:
1. PACS and Imaging Informatics by H.K. Huang, Second Edition, Wiley and Blackwell.
2. PACS: A Guide to the Digital Revolution by Keith J. Dreyer, Springer.
3. Data Communication and Networking by Behrouz A. Forouzan, McGraw Hill.
4. Computer Networks by A.S. Tanenbaum, Pearson Education.

Reference Books:
1. Governance of Picture Archiving and Communications Systems by Carrison K.S. Tong, Eric T.T.
Wong (Medical Information Science Reference).
2. Practical Imaging Informatics, By Barton F. Branstetter, Springer.
3. PACS Fundamentals by Herman Oosterwijk.
4. Cryptography and Network Security By William Stalling, Pearsons.


Theory Examination:
1. Question paper will comprise of total 06 questions, each carrying 20 marks.
2. Total 04 questions need to be solved.
3. Question No: 01 will be compulsory and based on entire syllabus wherein sub -questions of
2 to 5 marks will be asked.
4. Remaining questions will be randomly selected from all the modules.

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University of Mumbai, Biomedical Engineering, Rev 2022 -23
Course
Code
Course Name Teaching
scheme (Contact
Hours)
Credits Assigned

ILO 7011 Product Life
Cycle
Management Theory Pract./Tut. Theory Pract./Tut. Tota
l
3 -- 3 -- 3


Course
code

Course Name Examination Scheme
Theory
Term
Work
Oral
Total Internal Assessment End
Sem.
Exam Exam
Duration
(in Hrs) Test 1 Test 2 Avg

ILO 7011 Product Life
Cycle
Management
20
20
20
80
3
--
--
100







Course
Objective
s • To familiarize the students with the need, benefits and components of PLM
• To acquaint students with Product Data Management & PLM strategies
• To give insights into new product development program and guidelines for designing
and developing a product
• To familiarize the students with Virtual Product Development


Course
Outcomes Upon successful completion of this course, the 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 product 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

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University of Mumbai, Biomedical Engineering, Rev 2022 -23
Module Detailed Contents Hours


1 Introduction to Product Lifecycle Management (PLM):
Product Lifecycle Management (PLM), Need for PLM, Product Lifecycle Phases,
Opportunities of Globalization, Pre-PLM Environment, PLM
Paradigm,Importance & Benefits of PLM, Widespread Impact of PLM,
Focus andApplication, A PLM Project, Starting the PLM Initiative, PLM
Applications PLM Strategies: Industrial strategies, Strategy elements, its
identification, selection and implementation, Developing PLM Vision and PLM
Strategy,
Change management for PLM

10




2 Product Design:
Product Design and Development Process, Engineering Design, Organization and
Decomposition in Product Design, Typologies of Design Process Models,
Reference Model, Product Design in the Context of the Product Development
Process, Relation with the Development Process Planning Phase, Relation with the
Post design Planning Phase, Methodological Evolution in Product Design,
Concurrent Engineering, Characteristic Features of Concurrent Engineering,
Concurrent Engineering and Life Cycle Approach, New Pro duct 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

3 Product Data Management (PDM):
Product and Product Data, PDM systems and importance, Components of PDM,
Reason for implementing a PDM system, financial justification of PDM, barriersto
PDM implementation
05

4 Virtual Product Development Tools:
For components, machines, and manufacturing plants, 3D CAD systems and
realistic rendering techniques, Digital mock -up, Model building, Model analysis,
Modeling and simulations in Product Design, Examples/Case studies
05

5 Integration of Environmental Aspects in Product Design:
Sustainable Development, Design for Environment, Need for Life Cycle
Environmental Strategies, Useful Life Extension Strategies, End -of-Life Strategies,
Introduction of Environmental Strategies into the Design Process, Life Cycle
Environmental Strategies a nd Considerations for Product Design
05


6 Life Cycle Assessment and Life Cycle Cost Analysis:
Properties, and Framework of Life Cycle Assessment, Phases of LCA in ISO
Standards, Fields of Application and Limitations of Life Cycle Assessment, Cost
Analysis and the Life Cycle Approach, General Framework for LCCA, Evolution
of Models for Product Life Cycle Cost Analysis

05

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University of Mumbai, Biomedical Engineering, Rev 2022 -23



Assessment:
Internal Assessment for 20 marks: Consisting Two Compulsory Class Tests
First test based on approximately 40% of contents and second test based on remaining
contents (approximately 40% but excluding contents covered in Test I)

REFERENCES:

1. John Stark, “Product Lifecycle Management: Paradigm for 21st Century Product
Realisation”, Springererlag, 2004. ISBN: 1852338105
2. Fabio Giudice, Guido La Rosa, Antonino Risitano, “Product Design for the environment -A
life cycle approach”, Taylor & Francis 2006, ISBN: 0849327229
3. Saaksvuori Antti, Immonen Anselmie, “Product Life Cycle Management”, Springer,
Dreamtech, ISBN: 3540257314
4. Michael Grieve, “Product Lifecycle Management: Driving the next generation of lean
thinking”, Tata McGraw Hill, 2006, ISBN: 0070636265





End Semester Examination:

Weightage of each module in end semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.
1. Question paper will comprise of total six questions , each carrying 20 marks
2. Question 1 will be compulsory and should cover maximum contents of the curriculum
3. Remaining questions will be mixed in nature (for example if Q.2 has part (a) from module 3
then part (b) will be from any module other than module 3)
4. Only Four questions need to be solved .

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University of Mumbai, Biomedical Engineering, Rev 2022 -23

Course
Code
Course Name Teaching
scheme (Contact
Hours)
Credits Assigned

ILO 7012 Reliability
Engineering Theory Pract./Tut. Theory Pract./Tut. Tota
l
3 -- 3 -- 3


Course
code

Course Name Examination Scheme
Theory
Term
Work
Oral
Total Internal Assessment End
Sem.
Exam Exam
Duration
(in Hrs) Test 1 Test 2 Avg
ILO 7012 Reliability
Engineering 20 20 20 80 3 -- -- 100



Course
Objective
s • To familiarize the students with various aspects of probability theory
• To acquaint the students with reliability and its concepts
• To introduce the students to methods of estimating the system reliability of simple
and complex systems
• To understand the various aspects of Maintainability, Availability and FMEA
procedure


Course
Outcomes Upon successful completion of this course, the 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 Hours


1 Probability theory: Probability: Standard definitions and concepts; Conditional
Probability, Baye’s Theorem.
Probability Distributions: Central tendency and Dispersion; Binomial, Normal,
Poisson, Weibull, Exponential, relations between them and their significance.
Measures of Dispersion: Mean, Median, Mode, Range, Mean Deviation,
Standard Deviation, Variance, Skewness and Kurtosis.

08



2 Reliability Concepts: Reliability definitions, Importance of Reliability, Quality
Assurance and Reliability, Bath Tub Curve.
Failure Data Analysis: Hazard rate, failure density, Failure Rate, Mean Time To
Failure (MTTF), MTBF, Reliability Functions.
Reliability Hazard Models: Constant Failure Rate, Linearly increasing, Time
Dependent Failure Rate, Weibull Model. Distribution functions and reliability
analysis.


08

3 System Reliability:
System Configurations: Series, parallel, mixed configuration, k out of n structure,
Complex systems.
05

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University of Mumbai, Biomedical Engineering, Rev 2022 -23



4 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.

08


5 Maintainability and Availability:
System downtime, Design for Maintainability: Maintenance requirements,
Design methods: Fault Isolation and self -diagnostics, Parts standardization and
Interchangeability, Modularization and Accessibility, Repair Vs Replacement.
Availability – qualitative aspects.

05

6 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

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

Assessment:

Internal Assessment for 20 marks:
Consisting Two Compulsory Class Tests
First test based on approximately 40% of contents and second test based on remaining contents
(approximately 40% but excluding contents covered in Test I)


End Semester Examination:
Weightage of each module in end semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.
1. Question paper will comprise of total six questions , each carrying 20 marks
2. Question 1 will be compulsory and should cover maximum contents of the curriculum
3. Remaining questions will be mixed in nature (for example if Q.2 has part (a) from module
3 then part (b) will be from any module other than module 3)
4. Only Four questions need to be solved .

Page 41

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University of Mumbai, Biomedical Engineering, Rev 2022 -23

Course
Code
Course Name Teaching
scheme (Contact
Hours)
Credits Assigned

ILO 7013 Management
Information
System Theory Pract./Tut. Theory Pract./Tut. Tota
l
3 -- 3 -- 3


Course
code

Course Name Examination Scheme
Theory
Term
Work
Oral
Total Internal Assessment End
Sem.
Exam Exam
Duration
(in Hrs) Test 1 Test 2 Avg

ILO 7013 Management
Information
System
20
20
20
80
3
--
--
100



Course
Objective
s • The course is blend of Management and Technical field.
• Discuss the roles played by information technology in today’s business and define
various technology architectures on which information systems are built
• Define and analyze typical functional information systems and identify how they meet
the needs of the firm to deliver efficiency and competitive advantage
• Identify the basic steps in systems development


Course
Outcomes Upon successful completion of this course, the 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 principal tools and technologies for accessing information from
databases to improve business performance and decision making
• Identify the types of systems used for enterprise -wide knowledge management and
how they provide value for businesses

Module Detailed Contents Hours

1 Introduction To Information Systems (IS):
Computer Based Information Systems, Impact of IT on organizations, Importance
of IS to Society. Organizational Strategy, Competitive Advantages and IS
04

2 Data and Knowledge Management: Database Approach, Big Data, Data
warehouse and Data Marts, Knowledge Management
Business intelligence (BI): Managers and Decision Making, BI for Data analysis
and Presenting Results
07
3 Ethical issues and Privacy:
Information Security. Threat to IS, and Security Controls 07

4 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.
07

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University of Mumbai, Biomedical Engineering, Rev 2022 -23

5 Computer Networks Wired and Wireless technology, Pervasive computing,
Cloud computing model. 06


6 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.

08

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

Assessment:

Internal Assessment for 20 marks:
Consisting Two Compulsory Class Tests
First test based on approximately 40% of contents and second test based on remaining
contents (approximately 40% but excluding contents covered in Test I)

End Semester Examination:
Weightage of each module in end semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.
1. Question paper will comprise of total six questions , each carrying 20 marks
2. Question 1 will be compulsory and should cover maximum contents of the
curriculum
3. Remaining questions will be mixed in nature (for example if Q.2 has part (a) from
module 3 then part (b) will be from any module other than module 3)
4. Only Four questions need to be solved .

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University of Mumbai, Biomedical Engineering, Rev 2022 -23

Course
Code
Course Name Teaching
scheme (Contact
Hours)
Credits Assigned

ILO 7014 Design of
Experiments Theory Pract./Tut. Theory Pract./Tut. Tota
l
3 -- 3 -- 3


Course
code

Course Name Examination Scheme
Theory
Term
Work
Oral
Total Internal Assessment End
Sem.
Exam Exam
Duration
(in Hrs) Test 1 Test 2 Avg
ILO 7014 Design of
Experiments 20 20 20 80 3 -- -- 100





Course
Objective
s • 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 designs for robustness and optimization


Course
Outcomes Upon successful completion of this course, the 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, analyse, and interpret the results of experiments





Module Detailed Contents Hours


1 Introduction
1.1 Strategy of Experimentation
1.2 Typical Applications of Experimental Design
1.3 Guidelines for Designing Experiments
1.4 Response Surface Methodology

06



2 Fitting Regression Models
2.1 Linear Regression Models
2.2 Estimation of the Parameters in Linear Regression Models
2.3 Hypothesis Testing in Multiple Regression
2.4 Confidence Intervals in Multiple Regression
2.5 Prediction of new response observation
2.6 Regression model diagnostics
2.7 Testing for lack of fit


08

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University of Mumbai, Biomedical Engineering, Rev 2022 -23



3 Two -Level Factorial Designs
3.1 The 22 Design
3.2 The 23 Design
3.3 The General2k Design
3.4 A Single Replicate of the 2k Design
3.5 The Addition of Center Points to the 2k Design,
3.6 Blocking in the 2k Factorial Design
3.7 Split -Plot Designs


07



4 Two -Level Fractional Factorial Designs
4.1 The One-Half Fraction of the 2k Design
4.2 The One-Quarter Fraction of the 2k Design
4.3 The General 2k-p Fractional Factorial Design
4.4 Resolution III Designs
4.5 Resolution IV and V Designs
Fractional Factorial Split -Plot Designs


07


5 Response Surface Methods and Designs
5.1 Introduction to Response Surface Methodology
5.2 The Method of Steepest Ascent
5.3 Analysis of a Second -Order Response Surface
Experimental Designs for Fitting Response Surfaces

07

6 Taguchi Approach
6.1 Crossed Array Designs and Signal -to-Noise Ratios
6.2 Analysis Methods
Robust design examples
04

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REFERENCES:
1 Raymond H. Mayers, Douglas C. Montgomery, Christine M. Anderson -Cook,
Response Surface Methodology: Process and Product Optimization using Designed
Experiment, 3rd edition, John Wiley & Sons, New York, 2001
2 D.C. Montgomery, Design and Analysis of Experiments, 5th edition, John Wiley &
Sons, New York, 2001
3 George E P Box, J Stuart Hunter, William G Hunter, Statics for Experimenters:Design,
Innovation and Discovery, 2nd Ed. Wiley
4 W J Dimond, Practical Experiment Designs for Engineers and Scientists, John Wiley
and Sons Inc. ISBN: 0 -471-39054 -2
5 Design and Analysis of Experiments (Springer tex t in Statistics), Springer by A.M.
Dean, and D. T. Voss

Assessment :

Internal Assessment for 20 marks:
Consisting Two Compulsory Class Tests
First test based on approximately 40% of contents and second test based on remaining
contents (approximately 40% but excluding contents covered in Test I)

End Semester Examination:

Weightage of each module in end semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.
1. Question paper will comprise of total six questions , each carrying 20 marks
2. Question 1 will be compulsory and should cover maximum contents of the
curriculum
3. Remaining questions will be mixed in nature (for example if Q.2 has part (a) from
module 3 then part (b) will be from any module other than module 3)
4. Only Four questions need to be solved .

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44
University of Mumbai, Biomedical Engineering, Rev 2022 -23
Course
Code
Course Name Teaching
scheme (Contact
Hours)
Credits Assigned

ILO 7015 Operations
Research Theory Pract./Tut. Theory Pract./Tut. Tota
l
3 -- 3 -- 3


Course
code

Course Name Examination Scheme
Theory
Term
Work
Oral
Total Internal Assessment End
Sem.
Exam Exam
Duration
(in Hrs) Test 1 Test 2 Avg
ILO 7015 Operations
Research 20 20 20 80 3 -- -- 100








Course
Objective
s • 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.


Course
Outcomes Upon successful completion of this course, the learner will be able to:
• Understand the theoretical workings of the simplex method, 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 spanningtree, and
maximum flow problems.
• Understand the applications of integer programming and a queuing model and compute
important performance measures

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University of Mumbai, Biomedical Engineering, Rev 2022 -23

Module Detailed Contents Hours










1 Introduction to Operations Research : Introduction, Structure of the
Mathematical Model, Limitations of Operations Research
Linear Programming : Introduction, Linear Programming Problem,
Requirements of LPP, Mathematical Formulation of LPP, Graphical method,
Simplex Method Penalty Cost Method or Big M -method, Two Phase Metho d,
Revised simplex method, Duality ,
Primal – Dual construction, Symmetric and Asymmetric Dual, Weak Duality
Theorem, Complimentary Slackness Theorem, Main Duality Theorem, Dual
Simplex Method, Sensitivity Analysis
Transportation Problem : Formulation, solution, unbalanced Transportation
problem. Finding basic feasible solutions – Northwest corner rule, least cost
method and Vogel’s approximation method. Optimality test: the stepping stone
method and MODI method. Assignment Problem : Introduction, Mathema tical
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
Integer Programming Problem : Introduction, Types of Integer Programming
Problems,
Gomory’s cutting plane Algorithm, Branch and Bound Technique. Introduction
to Decomposition algorithms.









14

2 Queuing models : queuing systems and structures, single server and multi -server
models, Poisson input, exponential service, constant rate service, finite and
infinite population
05



3 Simulation : Introduction, Methodology of Simulation, Basic Concepts,Simulation
Procedure, Application of Simulation Monte -Carlo Method: Introduction,Monte -
Carlo
Simulation, Applications of Simulation, Advantages of Simulation, Limitationsof
Simulation

05

4 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.
05

5 Game Theory . Competitive games, rectangular game, saddle point, minimax
(maximin) method of optimal strategies, value of the game. Solution of games with
saddle points, dominance principle. Rectangular games without saddle
point – mixed strategy for 2 X 2 games.
05
6 Inventory Models : Classical EOQ Models, EOQ Model with Price Breaks, EOQ
with Shortage, Probabilistic EOQ Model, 05

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University of Mumbai, Biomedical Engineering, Rev 2022 -23








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

Assessment :

Internal Assessment for 20 marks:
Consisting Two Compulsory Class Tests
First test based on approximately 40% of contents and second test based on remaining
contents (approximately 40% but excluding contents covered in Test I)

End Semester Examination:
Weightage of each module in end semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.
1. Question paper will comprise of total six questions , each carrying 20 marks
2. Question 1 will be compulsory and should cover maximum contents of the
curriculum
3. Remaining questions will be mixed in nature (for example if Q.2 has part (a) from
module 3 then, part (b) will be from any module other than module 3)
4. Only Four questions need to be solved .

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47
University of Mumbai, Biomedical Engineering, Rev 2022 -23

Course
Code
Course Name Teaching
scheme (Contact
Hours)
Credits Assigned

ILO 7016 Cyber Security
and Laws Theory Pract./Tut. Theory Pract./Tut. Tota
l
3 -- 3 -- 3


Course
code

Course Name Examination Scheme
Theory
Term
Work
Oral
Total Internal Assessment End
Sem.
Exam Exam
Duration
(in Hrs) Test 1 Test 2 Avg
ILO 7016 Cyber Security
and Laws 20 20 20 80 3 -- -- 100

Course
Objective
s • To understand and identify different types cybercrime and cyber law
• To recognized Indian IT Act 2008 and its latest amendments
• To learn various types of security standards compliances

Course
Outcomes Upon successful completion of this course, the learner will be able to:
• Understand the concept of cybercrime 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 Hours

1 Introduction to Cybercrime:
Cybercrime definition and origins of the world, Cybercrime and information
security, Classifications of cybercrime, Cybercrime and the Indian ITA 2000, A
global Perspective on cybercrimes.
4




2 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
Wireless 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 Handling Mobile, Devices -Related Security Issues,
Organizational Security Policies and Meas ures in Mobile Computing Era, Laptops



9

3 Tools and Methods Used in Cyberline:
Phishing, Password Cracking, Key loggers and Spywares, Virus and Worms,
Steganography, DoS and DDoS Attacks, SQL Injection, Buffer Over Flow,Attacks
on Wireless Networks, Phishing, Identity Theft (ID Theft)
6

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University of Mumbai, Biomedical Engineering, Rev 2022 -23



4 The Concept of Cyberspace :
E-Commerce, The Contract Aspects in Cyber Law ,The Security Aspect of Cyber
Law, The Intellectual Property Aspect in Cyber Law, The Evidence Aspect in
Cyber Law , The Criminal Aspect in Cyber Law, Global Trends in Cyber Law ,
Legal Framework for Electronic Data Interchange Law Relating to Electronic
Banking , The Need for an Indian Cyber Law

8

5 Indian IT Act:
Cyber Crime and Criminal Justice: Penalties, Adjudication and Appeals Under the
IT Act, 2000, IT Act. 2008 and its Amendments
6
6 Information Security Standard compliances
SOX, GLBA, HIPAA, ISO, FISMA, NERC, PCI. 6


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

Assessment :

Internal Assessment for 20 marks:
Consisting Two Compulsory Class Tests
First test based on approximately 40% of contents and second test based on remaining
contents (approximately 40% but excluding contents covered in Test I)

End Semester Examination:
Weightage of each module in end semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.
1. Question paper will comprise of total six questions , each carrying 20 marks
2. Question 1 will be compulsory and should cover maximum contents of the
curriculum
3. Remaining questions will be mixed in nature (for example if Q.2 has part (a) from
module 3 then, part (b) will be from any module other than module 3)
4. Only Four questions need to be solved .

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49
University of Mumbai, Biomedical Engineering, Rev 2022 -23


Course
Code
Course Name Teaching
scheme (Contact
Hours)
Credits Assigned

ILO 7017 Disaster
Management
and Mitigation
Measures Theory Pract./Tut. Theory Pract./Tut. Tota
l
3 -- 3 -- 3


Course
code

Course Name Examination Scheme
Theory
Term
Work
Oral
Total Internal Assessment End
Sem.
Exam Exam
Duration
(in Hrs) Test 1 Test 2 Avg

ILO 7017 Disaster
Management
and Mitigation
Measures
20
20
20
80
3
--
--
100







Course
Objective
s • To understand physics and various types of disaster occurring around the world
• To identify extent and damaging capacity of a disaster
• To study and understand the means of losses and methods to overcome /minimize
it.
• To understand role of individual and various organization during and after
disaster
• To understand application of GIS in the field of disaster management
• To understand the emergency government response structures before, during and
after disaster


Course
Outcomes Upon successful completion of this course, the learner will be able to:
• Get to know natural as well as manmade disaster and their extent and possible
effects on the economy.
• Plan of national importance structures based upon the previous history.
• Get acquainted with government policies, acts and various organizational
structure associated with an emergency.
• Get to know the simple do’s and don’ts in such extreme events and act
accordingly.

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University of Mumbai, Biomedical Engineering, Rev 2022 -23
Module Detailed Contents Hours


1 Introduction
1.1 Definition of Disaster, hazard, global and Indian scenario, general
perspective, importance of study in human life, Direct and indirect effects of
disasters, long term effects of disasters. Introduction to global warming and
climate change.

03




2 Natural Disaster and Manmade disasters:
2.1 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
2.2 Manmade Disasters: Chemical, Industrial, Nuclear and Fire Hazards. Role of
growing population and subsequent industrialization, urbanization and
changing lifestyle of human beings in frequent occurrences of manmade
disasters.



09




3 Disaster Management, Policy and Administration
3.1 Disaster management: meaning, concept, importance, objective of disaster
management policy, disaster risks in India, Paradigm shift in disaster
management.
3.2 Policy and administration:
Importance and principles of disaster management policies, command and
coordination of in disaster management, rescue operations -how to start with
and how to proceed in due course of time, study of flowchart showing the
entire process.



06



4 Institutional Framework for Disaster Management in India:
4.1 Importance of public awareness, Preparation and execution of emergency
management program. Scope and responsibilities of National Institute of
Disaster Management (NIDM) and National disaster management authority
(NDMA) in India. Methods and measures to avoid disasters, Management
of casualties, set up of emergency facilities, importance of effective
communication amongst different agencies in such situations.
4.2 Use of Internet and softwares for effective disaster management.
Applications of GIS, Remote sensing and GPS in this regard.


06



5 Financing Relief Measures:
5.1 Ways to raise finance for relief expenditure, role of government agencies and
NGO’s in this process, Legal aspects related to finance raising as wellas
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.
5.2 International relief aid agencies and their role in extreme events.


09


6 Preventive and Mitigation Measures:
6.1 Pre-disaster, during disaster and post-disaster measures in some events in
general
6.2 Structural mapping: Risk mapping, assessment and analysis, sea walls and
embankments, Bio shield, shelters, early warning and communication
Non Structural Mitigation: Community based disaster preparedness, risk
transfer and risk financing, capacity development and training, awareness
and education, contingency plans.
6.3 6.4 Do’s and don’ts in case of disasters and effective implementation of
reliefaids.

06

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University of Mumbai, Biomedical Engineering, Rev 2022 -23


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 Elsevier Publications.
4. ‘Disaster Management Handbook’ by Jack Pinkowski, CRC Press Taylor and Francis group.
5. ‘Disaster management & rehabilitation’ by Rajdeep Dasgupta, Mittal Publications, New
Delhi.
6. ‘Natural Hazards and Disaster Management, Vulnerability and Mitigation – R B Singh,
Rawat Publications
7. Concepts and Techniques of GIS –C.P.Lo Albert, K.W. Yonng – Prentice Hall (India)
Publications. (Learners are expected to refer reports published at national and International
level and updated information availab le on authentic web sites)

Assessment :

Internal Assessment for 20 marks:
Consisting Two Compulsory Class Tests
First test based on approximately 40% of contents and second test based on remaining contents
(approximately 40% but excluding contents covered in Test I)

End Semester Examination:
Weightage of each module in end semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.
1. Question paper will comprise of total six questions , each carrying 20 marks
2. Question 1 will be compulsory and should cover maximum contents of the
curriculum
3. Remaining questions will be mixed in nature (for example if Q.2 has part (a) from
module 3 then, part (b) will be from any module other than module 3)
4. Only Four questions need to be solved .

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52
University of Mumbai, Biomedical Engineering, Rev 2022 -23

Course
Code
Course Name Teaching
scheme (Contact
Hours)
Credits Assigned

ILO 7018 Energy Audit
and
Management Theory Pract./Tut. Theory Pract./Tut. Tota
l
3 -- 3 -- 3


Course
code

Course Name Examination Scheme
Theory
Term
Work
Oral
Total Internal Assessment End
Sem.
Exam Exam
Duration
(in Hrs) Test 1 Test 2 Avg

ILO 7018 Energy Audit
and
Management
20
20
20
80
3
--
--
100









Course
Objective
s • To understand the importance energy security for sustainable development and
the fundamentals of energy conservation.
• To introduce performance evaluation 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.


Course
Outcomes Upon successful completion of this course, the 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 a utility.
• To describe the energy performance evaluation of some common electrical
installations and identify the energy saving opportunities.
• To describe the energy performance evaluation of some common thermal installations
and identify the energy saving opportunities
• To analyze the data collected during performance evaluation and recommend energy
saving measures

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University of Mumbai, Biomedical Engineering, Rev 2022 -23


Module Detailed Contents Hours


1 Energy Scenario:
Present Energy Scenario, Energy Pricing, Energy Sector Reforms, Energy
Security, Energy Conservation and its Importance, Energy Conservation Act- 2001
and its Features. Basics of Energy and its various forms, Material and
Energy balance

04



2 Energy Audit Principles:
Definition, Energy audit - need, Types of energy audit, Energy management (audit)
approach -understanding energy costs, Bench marking, Energy performance,
Matching energy use to requirement, Maximizing system efficiencies, Optimizing
the input energy requirements, Fuel and energy substitution. Elements of
monitoring& targeting; Energy audit Instruments; Data and information -analysis.
Financial analysis techniques: Simple payback period, NPV, Return on
investment (ROI), Internal rate of return (IRR)


08



3 Energy Management and Energy Conservation in Electrical System:
Electricity billing, Electrical load management and maximum demand Control;
Power factor improvement, Energy efficient equipments and appliances, star
ratings.
Energy efficiency measures in lighting system, lighting control: Occupancy
sensors, daylight integration, and use of intelligent controllers.
Energy conservation opportunities in: water pumps, industrial drives, induction
motors, motor retrofitting, soft starters, variable speed drives.


10



4 Energy Management and Energy Conservation in Thermal Systems:
Review of different thermal loads; Energy conservation opportunities in: Steam
distribution system, Assessment of steam distribution losses, Steam leakages,
Steam trapping, Condensate and flash steam recovery system.
General fuel economy measures in Boilers and furnaces, Waste heat recovery, use
of insulation - types and application. HVAC system: Coefficient ofperformance,
Capacity, factors affecting Refrigeration and Air Conditioning system
performance and savings opportunities.


10

5 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

6 Energy conservation in Buildings:
Energy Conservation Building Codes (ECBC): Green Building, LEED rating,
Application of Non-Conventional and Renewable Energy Sources
03

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University of Mumbai, Biomedical Engineering, Rev 2022 -23





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

Assessment :
Internal Assessment for 20 marks:
Consisting Two Compulsory Class Tests
First test based on approximately 40% of contents and second test based on remaining
contents (approximately 40% but excluding contents covered in Test I)

End Semester Examination:
Weightage of each module in end semester examination will be proportional to number
of respective lecture hours mentioned in the curriculum.
1. Question paper will comprise of total six questions , each carrying 20 marks
2. Question 1 will be compulsory and should cover maximum contents of the
curriculum
3. Remaining questions will be mixed in nature (for example if Q.2 has part (a) from
module 3 then, part (b) will be from any module other than module 3)
4. Only Four questions need to be solved .

Page 57

55
University of Mumbai, Biomedical Engineering, Rev 2022 -23




Course
Code
Course Name Teaching
scheme (Contact
Hours)
Credits Assigned

ILO7019 Development
Engineering Theory Pract./Tut. Theory Pract ./Tut. Tota
l
3 -- 3 -- 3


Course
code

Course Name Examination Scheme
Theory
Term
Work
Oral
Total Internal Assessment End
Sem.
Exam Exam
Duration
(in Hrs) Test 1 Test 2 Avg
ILO7019 Development
Engineering 20 20 20 80 3 -- -- 100












Course
Objective
s • To understand the characteristics of rural Society and the Scope, Nature and
Constraints of rural Development
• To study Implications of 73rd CAA on Planning, Development and Governance of
Rural Areas
• An exploration of human values, which go into making a ‘good’ human being, a
‘good’ professional, a ‘good’ society and a ‘good life’ in the context of work life
and the personal life of modern Indian professionals
• To understand the Nature and Type of Human Values relevant to Planning
Institutions


Course
Outcomes Upon successful completion of this course, the learner will be able to:
• Apply knowledge for Rural Development.
• Apply knowledge for Management Issues.
• Apply knowledge for Initiatives and Strategies
• Develop acumen for higher education and research.
• Master the art of working in group of different nature.
• Develop confidence to take up rural project activities independently

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University of Mumbai, Biomedical Engineering, Rev 2022 -23




Module Contents Hours



1 Introduction to Rural Development:
Meaning, nature and scope of development; Nature of rural society in India;
Hierarchy of settlements; Social, economic and ecological constraints for rural
development Roots of Rural Development in India Rural reconstruction and
Sarvodaya programme before independence; Impact of voluntary effort and
Sarvodaya Movement on rural development; Constitutional direction, directive
principles; Panchayati Raj - beginning of planning and community development;
National extension services.


08


2 Post-Independence Rural Development:
Balwant Rai Mehta Committee - three tier system of rural local Government; Need
and scope for people’s participation and Panchayati Raj; Ashok Mehta Committee
- linkage between Panchayati Raj, participation and rural
development.

04



3 Rural Development Initiatives in Five Year Plans:
Five Year Plans and Rural Development; Planning process at National, State,
Regional and District levels; Planning, development, implementing and
monitoring organizations and agencies; Urban and rural interface - integrated
approach and local plans; Development initiatives and their convergence; Special
component plan and sub -plan for the weaker section; Micro -eco zones; Data base
for local planning; Need for decentralized planning; Sustainable rural
development.


06


4 Post 73rd Amendment Scenario: 73rd Constitution Amendment Act, including
- XI schedule, devolution of powers, functions and finance; Panchayati Raj
institutions - organizational linkages; Recent changes in rural local planning;
Gram Sabha - revitalized Panchayati Raj; Institutionalization; resource mapping,
resource mobilization including social mobilization; Information Technology
and rural planning; Need for further amendments.

04




5 Values and Science and Technology Material development and its values; the
challenge of science and technology; Values in planning profession, research and
education.
Types of Values Psychological values — integrated personality; mental health;
Societal values — the modern search for a good society; justice, democracy, rule
of law, values in the Indian constitution; Aesthetic values — perception and
enjoyment of beauty; Moral and ethical values; nature of moral judgment;
Spiritual values; different concepts; secular spirituality; Relative and absolute
values; Human values — humanism and human values; human rights; human
values as freedom, creativity, love and wisdom.



10

6 Ethics: Canons of ethics; ethics of virtue; ethics of duty; ethics of responsibility;
Work ethics; Professional ethics; Ethics in planning profession, research and
education
04

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References:

1. ITPI, Village Planning and Rural Development, ITPI, New Delhi
2. Thooyavan, K.R. Human Settlements: A 2005 MA Publication, Chennai
3. GoI, Constitution (73rd GoI, New Delhi Amendment) Act, GoI, New Delhi
4. Planning Commission, Five Year Plans, Planning Commission
5. Planning Commission, Manual of Integrated District Planning, 2006, Planning Commission
New Delhi
6. Planning Guide to Beginners
7. Weaver, R.C., The Urban Complex, Doubleday.
8. Farmer, W.P. et al, Ethics in Planning, American Planning Association, Washington.
9. How, E., Normative Ethics in Planning, Journal of Planning Literature, Vol.5, No.2, pp. 123 -
150.
10. Watson, V., Conflicting Rationa lities: -Implications for Planning Theory and Ethics,
Planning Theory and Practice, Vol. 4, No.4, pp.395 – 407

Assessment :

Internal Assessment for 20 marks:
Consisting Two Compulsory Class Tests
First test based on approximately 40% of contents and second test based on remaining
contents (approximately 40% but excluding contents covered in Test I)

End Semester Examination:
Weightage of each module in end semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.
1. Question paper will comprise of total six questions , each carrying 20 marks
2. Question 1 will be compulsory and should cover maximum contents of the
curriculum
3. Remaining questions will be mixed in nature (for example if Q.2 has part (a) from
module 3 then, part (b) will be from any module other than module 3)
4. Only Four questions need to be solved

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Course
Code Course Name Teaching scheme Credit assigned


BML701 Biomedical
Instrumentation - -
III Lab
(Abbreviated as
BMI -III Lab) Theory Pract. Tut. Theory Pract. Tut. Total

--
02
--
--
01
--
01



Course
Code
Course Name Examination Scheme
Theory Term
work
Pract.
Oral Pract.
/ Oral
Total Internal Assessment End
sem Test 1 Test 2 Avg.

BML701 Biomedical
Instrumentation -
-III Lab
(BMI -III Lab)
--
--
--
--
25
--
25
--
50


Course Code Course Name Credits
BML701 Biomedical Instrumentation - -III 01
Course
Objectives • To understand the basic principles and working of life Saving Equipment.
• To develop skills enabling Biomedical Engineers to serve the health care industry
• To develop core competency and skill in the field of Biomedical Engineering, to
design and develop new health care systems.
Course
Outcomes Learner will be able to…
• Design and implement basic Pacemaker circuits.
• Design and implement basic oscillator circuits for Surgical Diathermy.
• Demonstrate the knowledge of application techniques of physiotherapy machines.
• Demonstrate the knowledge of application technique of oximeter


Syllabus: Same as that of (Course Code) Biomedical Instrumentation - -III (BMI -III)

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List of Experiments: (Any Seven)
1. Implementation and testing of basic circuit of pacemaker.
2. Implementation of NAND Gate Oscillator in Surgical Diathermy.
3. Implementation of RLC Over damped system.
4. Implementation of OT lights.
5. Demonstration of Defibrillator.
6. Demonstration of Pacemaker.
7. Demonstration of Surgical Diathermy
8. Demonstration of Ultrasonic Diathermy
9. Demonstration of Nerve and Muscle Stimulator
10. Demonstration of Oximeter.
11. Industry / Hospital visits may be conducted.

Any other experiment based on syllabus which will help learner to understand topic/concept.
Group Presentation on the latest technology in hospitals based on the topics covered in the syllabus.
Assessment:
Term Work:
Term work shall consist of minimum 7 experiments.
The distribution of marks for term work shall be as follows:
Laboratory work (Experiments) : 10 Marks
Laboratory work (Journal) : 5 Marks
Presentation : 5 Marks
Attendance : 5 Marks
The final certification and acceptance of term work ensures the satisfactory performance of laboratory
work and minimum passing in the term work.
Books Recommended:
Text books:
1. Handbook of Biomedical Instrumentation (Third edition): R S. Khandpur. (PH Pub)
2. Medical Instrumentation, Application and Design: J G. Webster. (John Wiley)
3.Biomedical Instrumentation and measurements: Leslie Cromwell, Fred J. Weibell, Enrich A.
Pfeiffer. (PHI Pub)

Reference books:
1. Introduction to Biomedical Equipment Technology: Carr –Brown. (PH Pub)
2. Encyclopedia of Medical Devices and Instrumentation: J G. Webster. Vol I- IV (PH Pub)
3. Various Instruments Manuals.
4. Various internet websites.

Oral examination will be based on entire syllabus.

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Course Code Course Name Teaching scheme Credit assigned

BML702 Machine Learning
Laboratory
(Abbreviated as
ML Lab) Theory Pract. Tut. Theory Pract. Tut. Total

--
02
--
--
01
--
01





Course
Code

Course
Name Examination Scheme
Theory
Term
work

Pract

Oral
Prac
t. /
Oral

Total Internal
Assessment
End
sem Dur
a
tion
(hrs) Test
1 Test
2 Avg.

BML702 Machine
Learning
Lab (ML
Lab)
--
--
--
--
--
25
--
--
25
50
Course Code Course Name Credits
BMC702 Machine Learning 03
Course
Objectives • To build a strong base in artificial intelligence through algorithm development.
• To develop competency in logical thinking, computer programming and knowledge
application.
• To train and motivate for higher education and research in order to make contribution
to state of the art health care for all
Course
Outcomes Learner will be able to…
• Understand the fundamental techniques and applications in neural networks, deep
learning and machine learning
• Understand supervised and unsupervised learning, back propagation and gradient
descent algorithms
• Understand and implement efficient computational techniques using neural networks,
deep learning and machine learning
• Design and implementation of neural network models with deep learning and
machine learning will be strong base for designing artificial intelligent systems

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Syllabus: Same as that of (BMC702) Machine Learning (ML)

List of Experiments: (Any Seven)

1 Implement the activation functions used in the neural network
2 Implement ANDNOT and XOR function using McCulloch -Pitts neural net
3 Implementation of learning rules for neural network
4 Implementation of backpropagation with gradient descent algorithm neural network
5 Design and implement the neural network model for estimation problem.
6 Design and implement the neural network model for classification problem
7 Optimize the neural network model for estimation problem.
8 Optimize the neural network model for classification problem.
9 Design and implement the neural network model for estimation problem with deep learning
10 Design and implement the neural network model for estimation problem with deep learning
Any other experiment based on syllabus which will help learner to understand topic/concept.
Assessment:

Term Work:
Term work shall consist of minimum 7 experiments. The distribution of marks for term work shall
be as follows:
Laboratory work (Experiments): 10 Marks
Laboratory work (Journal) : 10 Marks
Attendance : 05 Marks
The final certification and acceptance of term work ensures the satisfactory performance of
laboratory work and minimum passing in the term work.
Text books
1. Introduction to Machine Learning, 3rd edition, Ethem Alpaydin, PHI Learning Private Limited, New
Delhi, 2015
2. Deep Learning by Josh Patterson and Adam Gibson, O’Reilly Media, Inc., Gravenstein Highway
North, Sebastopol CA, 2017
3. Neural Networks and Learning Machines Third Edition, Simon Haykin, Pearson, Prentice Hall, 2009

Reference books
1. Machine learning in Action, Peter Harrington, dreamtech Press, New Delhi, 2012
2. Machine learning, Tom M, Mitchell, Mc Graw Hill Education(India) Private Limited New Delhi, 2013


Practical examination will be based on experiments and related topics in the laboratory sessions.

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Course
Code Course Name Teaching scheme Credits assigned


BMDL701
1 Department
Level Optional
Course – 3
Biological
Modeling Theor
y Pract. Tut. Theor
y Pract
. Tut. Total


--

02

--

--

01

--

01
and
Simulation
Lab
(BMS Lab)


Course
Code
Course Name Examination Scheme
Theory Ter
m
wor
k
Pract.
Oral Pract.
/Ora
l
Total Internal Assessment En
d
se
m Test
1 Test
2 Av
g.


BMDL7011 Department
Level
Optional
Course – 3
Biological
Modeling and
Simulation
(BMS)

--

--

--

-
-


25


-
-


25


-
-


50

Course
Code Course Name Credits

BMDL7011 Biological Modelling and Simulation Lab 01
Course
Objective ● To understand basic approach of modeling for designing biological model.
● To simulate physiological processes for better understanding.
● To develop competency in terms of logical thinking, programming and application
skills
● To train and motivate students for pursuing higher education and research for
developing cutting edge technologies.
Course
Outcome Learner will be able to:
● Apply concept of physiological modelling to model thermometer system.
● Virtually understand biophysical laws for calculation of membrane potential
under different equilibrium conditions and develop simulation programs for
understanding neuronal functions.
● Simulate mathematical model for the eye movement

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List of Laboratory Experiments (Any Seven)
1. Simulations thermometer system using MATLAB
2. Simulation of Nernst/Goldman Equation using MATLAB( (Two practicals) )
3. Simulation of eye movement using MATLAB
4. Simulation using HHSim (Two practicals)
5. Simulation using Neurons in Action (Two practicals)
6. Developing a model of a neuron using NEURON
7. Electrical simulation of thermoregulatory model

Any other experiment / assignment / presentation based on syllabus which will help
students to understand topic/concept.

Assessment:
Term Work:
Term work shall consist of minimum 7 experiments.
The distribution of marks for term work shall be as follows:
Laboratory work (Experiments) :
10 Marks Laboratory work (Journal) :
10 Marks
Attendance : 5 Marks
The final certification and acceptance of term work ensures the satisfactory
performance of laboratory work and minimum passing in the term work.

Books Recommended:
Text Books:
1. Bioengineering, Biomedical, Medical and Clinical Engg.: A.Teri Bahil.
2. Signals and systems in Biomedical Engg.: Suresh R Devasahayam.
3. Bio-Electricity A quantitative approach by Barr and Ploncey


Reference Books:
1. Biomedical Engineering Handbook by Bronzino (CRC Press)


Oral examination will be based on entire syllabus. ● Electrically simulate model of thermoregulatory system
● Understand the usage of, and the assumptions behind biological models

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Course Code Course Name Teaching scheme Credit assigned

BMDL7012 Bioinformatics
Lab
(Abbreviated as
BI Lab) Theory Pract. Tut. Theory Pract. Tut. Total

--
02
--
--
01
--
01



Course
Code

Course Name Examination Scheme
Theory
Term
work
Pract.
Oral
Pract.
/ Oral
Total Internal Assessment End
sem Test
1 Test
2 Avg.
BMDL7012 Bioinformatics
Lab
(BI Lab )
--
--
--
--
25
--
25
--
50


Course Code Course Name Credits
BML7012 Bioinformatics Lab 01
Course
Objectives • The course introduces the students to the field of Bioinformatics.
• To make students aware about the methods to characterise and manage the different
types of biological data.
• To introduce students to the basics of sequence alignment and analysis.
Course
Outcomes Learner will be able to
• Get introduced to the basic concepts of Bioinformatics and its significance in Biological
data analysis.
• Apply knowledge of basic principles of mathematics and statistics.
• Apply existing software effectively to extract information from large databases and to
use this information in computer modelling
• Apply problem -solving skills to multivariate methods in bioinformatics
Search and apply bioinformatics tools to analyse and interpret biological data




Syllabus: Same as that of BMDO7012 Bioinformatics

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List of Tutorials: (any seven Tutorials based on following topics)
1. Steps in DNA sequencing
2. Different methods of DNA sequencing
3. Discovery of Gene Sequence.
4. Types of Proteomics
5. Mendel's postulates and laws of inheritance
6. Steps of dynamic programming
7. Classification of biological databases
8. Steps in Hypothesis Testing
9. Types of statistical models
10. Important Algorithms in Bioinformatics

Any other tutorial based on syllabus may be included, which would help the learner to understand
topic/concept.
A power point presentation on any of the topics in syllabus should be carried out.

Assessment:
Term Work:

Term work shall consist of minimum 7 tutorials.
The distribution of marks for term work shall be as follows:
Laboratory work (Tutorials) : 10 Marks
Presentation : 10 Marks
Attendance : 5 Marks

The final certification and acceptance of term work ensures the satisfactory performance of laboratory
work and minimum passing in the term work.
Books Recommended:

Text books:
1. Basics of Bioinformatics, Rui Jiang, Xuegong Zhang, Michael Q. Zhang, Springer, E-book.
2. Introduction to Bioinformatics, Arthur M. Lesk, Oxford University Press, 2002, First Edition.

Reference Books:
1. Essential Bioinformatics, Jin Xiong, Cambridge University Press, 2006, First Edition.

Oral examination will be based on entire syllabus.

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Course Code Course Name Teaching scheme Credit assigned

BMDL7013 IOT Based
Systems Lab Theory Pract. Tut. Theory Pract. Tut. Total
-- 02 -- -- 01 -- 01



Course
Code

Course Name Examination Scheme
Theory
Term
work
Pract.
Oral
Pract.
/ Oral
Total Internal Assessment End
sem Test
1 Test
2 Avg.

BMDL7013 IOT Based
Systems Lab
--
--
--
--
25
--
25
--
50






Course Code Course Name Credits
BMDL7013 IOT Based Systems Lab 01
Course Objectives • Learn the concepts of IOT
• Identify different technologies and schemes
• Learn different applications in IOT
• Learn different protocols used in IOT
• Learn how to analyze the data in IOT
• Course Outcomes Learner will be able to
• Apply the concepts of IOT
• Identify and select different technologies and scheme for IOT applications
• Apply IOT to different applications
• Analyze and evaluate protocols used in IOT systems
• Analyze dataflow in IOT systems


Syllabus: Same as that of (Course Code) Bioinformatics

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List of Experiments: (any seven Experiments based on following list)
1) To demonstrate I/O operations, interrupts, ADC and other onboard features using any one
hardware platform (Arduino/Raspberry Pi/BeagleBone/ESP32).
2) To demonstrate interfacing various sensors and storing data on -board [ and on -board processing of
data] using any one hardware platform (Arduino/Raspberry Pi/BeagleBone/ESP32).
3) To demonstrate interfacing various sensors and communicating data using Intern et using any one
hardware platform (Arduino/Raspberry Pi/BeagleBone/ESP32).
4) To demonstrate CoAP protocol (client – server model) with SOC platform as server.
5) To demonstrate CoAP protocol (client – server model) with SOC platform as client.
6) To demonstrate MQTT broker (publish - subscribe model) with SOC platform as broker.
7) To demonstrate MQTT broker (publish - subscribe model) with SOC platform as publisher.
8) To demonstrate the use of cloud storage.
9) To demonstrate the use/role of cloud computing.

Any other Experiment based on syllabus may be included, which would help the learner to understand
topic/concept.

Assessment:
Term Work:

Term work shall consist of minimum 7 tutorials.
The distribution of marks for term work shall be as follows:
Laboratory work (Tutorials) : 10 Marks
Presentation : 10 Marks
Attendance : 05 Marks

The final certification and acceptance of term work ensures the satisfactory performance of laboratory
work and minimum passing in the term work.
Books Recommended:

Books Recommended:
Text books:
1. Internet of Things: A Hands -On Approach, Arshdeep Bahga, Vijay Madisetti, universities press.
2. IOT fundamentals, David, Gonzalo, Patrick, Cisco press.
3. Data and Computer communications, william stallings, Pearson Education.
4. Data communication and networking, Behrouz A. Forouzan, McGraw Hill Education
Communication Networks, Alberto Leon Garcia, McGraw Hill Education.

Reference Books:
1. Computer Networks, S. Tanenbaum, Pearson Education.
2. Computer Networking: A Top-Down Approach, J. F. Kurose and K. W. Ross, Addison Wesley.

Oral examination will be based on entire syllabus.

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Course
Code Course Name Teaching scheme Credit assigned

BMP701
Major Project
- I Theory Pract. Tut. Theory Pract. Tut. Total
-- 06 -- -- 03 -- 03


Course
Code

Course Name Examination Scheme
Theory
Term
work
Pract.
Oral
Pract.
/ Oral
Total Internal Assessment End
sem Test
1 Test
2 Avg.
BMP
701 Major Project
- I -- -- -- -- 25 -- 25 -- 50



Course Code Course Name Credits
BMP701 Major Project -I 03
Course objective • To apply the knowledge gained during Curriculum to develop and
design problem statement.
• Conduct literature survey.
• Design Circuit/ Flow chart of the statement.
• Documentation and project report writing.
Course Outcome Learner will be able to
• Review literature to define problem statement
• Apply knowledge of the engineering fundamentals acquired during
the curriculum and beyond
• Develop and create design using appropriate design methodologies
considering the various health, society and environmental needs.
• Write problem statement, Design concept in prescribed format.
• Learn the behavioral science by working in a group.

Project Guidelines:
1. Learner is allotted 6 hrs per week for the project work
2. Learners should carry out literature survey /visit industry / analyze current trends and identify the
problem for Project and finalize in consultation with Guide/Supervisor.
3. Group of maximum four students will be completing a comprehensive project work.
4. Learners should use multiple literatures and understand the problem.
5. Learners should attempt solution to the problem by experimental/simulation methods.
6. The solution to be validated with proper justification and compile the report in standard form
7. Learner may use this opportunity to learn different computational techniques as well as some model
development.

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Faculty Load:
1. In semester VII – 1/2 (half) period of 1/2 hour per week per project group
2. Each faculty is permitted to take (guide) maximum 4 (Four) project groups

Assessment:
Term Work:
Term Work should be examined by approved internal faculty appointed by the head of the institute based
on the following:
• Scope and objective of the project work.
• Extensive Literature survey.
• Progress of the work (Continuous assessment)
• Report in prescribed University format.


Guidelines for Assessment of Project Stage - I
1. Project I should be assessed through a presentation jointly by Internal and External Examiners
approved by the University of Mumbai
2. Project stage I should be assessed based on following points
• Quality of problem selected
• Literature Survey
• Clarity of Problem definition and Feasibility of problem solution
• Relevance to the specialization / Industrial trends
• Clarity of objective and scope
• Quality of Project Design
• Compilation of Project Report
• Quality of Written and Oral Presentation

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Course
Code Course Name Teaching scheme Credit assigned

BMC801 Hospital
Management
(Abbreviated
as HM) Theory Pract. Tut. Theory Pract. Tut. Total

03
--
--
03
--
--
03




Course
Code

Course
Name Examination Scheme
Theory
Term
work

Pract.

Oral
Pract.
/ Oral

Total Internal
Assessment
End
sem Dura
tion
(hrs
) Test
1 Test 2 Avg.

BMC80
1 Hospital
Management
(HM)
20
20
20
80
03
--
--
--
--
100



Course Code Course Name Credits
BMC801 Hospital Management 03
Course
Objectives • To understand the basic principles used for designing of various departments in the
hospital.
• To understand the role of Biomedical Engineer in hospital and basic develop skills
enabling to serve hospitals.
• To understand the overall functioning of various departments in the hospital.
Course
Outcomes Learner will be able to…
• Apply the management concepts used specifically in hospital.
• Explain the management structure and its functions in hospital.
• Demonstrate the knowledge about the principles of designing and commissioning of
clinical services in the hospital.
• Demonstrate the knowledge about the roles and responsibilities of Biomedical
Engineer in hospital.
• Demonstrate the knowledge about the functions of other Engineering and auxiliary
services in the hospital.
• Apply environment and waste management concepts in healthcare industry.





Semester – VIII

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Module Contents Hours
1 Process of management:
Principles of management, leadership, motivation, time management, H.R.
management (recruitment, performance appraisal, training and development,),
effective communication, accounting - types of Budget. 07
2 Organization of the hospital and hospital planning:
Management structure, types of hospitals, governing body, hospital committee and
hospital functionaries, duties and responsibilities of various positions.
Guiding principles in planning hospital facilities and services and planning the
hospital building 04
3 Clinical services: (Location, layout, equipment, personnel, and functions):
OUT patient, IN patient (wards), intensive care, pathology laboratory & blood
bank, radiology, physiotherapy, surgical operation theatre, emergency (casualty). 10
4 Biomedical engineering department: (Location, layout, equipment , personnel,
and its main functions)
Roles and responsibilities of a biomedical engineer in hospitals,
Equipment management: maintenance types: routine(preventive) and breakdown,
maintenance contracts (CMC and AMC)
Purchase management: Purchase system (centralized, decentralized, localpurchase),
types of purchase, purchase procedures: selection of suppliers, tendering
procedures, analyzing bids, price negotiations
Material’s (store) management: Functions of store manager, materials handling,
flow of goods/FIFO, inventory control : lead-time, buffer stock, reorder level, two
bin system, EOQ 09
5 Other engineering services:
Engineering services (electrical, mechanical and civil): responsibilities and
functions.
Hospital ventilation and air conditioning, medical gas system, hospital
information system. 05
6 Environment and waste management:
Hospital infection control, central sterile service department (CSSD), biomedical
waste management, disaster management. 04

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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.
Books Recommended:
Text Books:
1. Hospital Management by Dr. Pradyna Pai
2. Hospital Planning, Designing and Management: Kunders G D, Gopinath, A katakam (Private Pub
Bangalore)

Reference Books:
1. Computers in Medicine: R. D. Lele (TMH Pub)
2. Hospital Care and Hospital Management AICTE Journal Vol. 1,2,3 by Dr. Kalanidhi. (AICTE Pub
Bangalore
3. Careers in Biomedical: Shantanu Thatte.


Theory Examination :
1. Question paper will comprise of total 06 questions, each carrying 20 marks.
2. Total 04 questions need to be solved.
3. Question No: 01 will be compulsory and based on entire syllabus wherein sub -questions of
marks will be asked.
4. Remaining questions will be randomly selected from all the modules.

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Course Course Name Teaching scheme Credit assigned

Code



BMDO8011 Department
Optional
Course –5
Robotics In
Medicine
(Abbreviated as
RIM) Theory Pract. Tut. Theory Pract. Tut. Total


03

--

--

03

--

--

03




Course
Code

Course
Name Examination Scheme
Theory
Term
work

Pract

Oral
Pract.
/ Oral

Total Internal
Assessment
End
sem Dura
tion
(hrs) Test
1 Test
2 Avg.


BMDO8011 Department
Optional
Course –5
Robotics In
Medicine
(RIM)

20

20

20

80

03

--

--

--

--

100





Course Code Course Name Credits
BMDO8011 Robotics In Medicine 03
Course
Objectives • To make the learner aware of fundamental concepts of Robotics
• To make learner study direct and Inverse Kinematics of Robots
• To make learner know the Trajectory and Motion planning.
• To make the learner know the Biomedical applications of robotics
Course
Outcomes Learner will be able to…
• To describe direct and inverse kinematics of robots.
• To describe workspace envelop and trajectory planning for robots
• To apply various image processing tools for robotic manipulation
• To implement motion planning solutions using various algorithms
• To illustrate medical applications of robots

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Module
No. Contents Hours
1 Introduction:
Automation and robots, classification, application, specification and notations.
04
2 Direct Kinematics:
Dot and cross products, co -ordinate frames, rotations, homogeneous coordinates,
link co -ordinates, arm equation and arm matrix derivation (two axis, three axis and
four axis SCARA), configuration of five axis and six axis robots (arm matrix
derivation and equation not expected) 10
3 Inverse kinematics:
General properties of solutions of inverse kinematics, methods for finding solution,
tool configuration vector and inverse kinematics solution for two axis, three axis
and four axis robots.
Workspace analysis, work envelope and examples, workspace fixtures, trajectory
planning, pick and place operations, continuous path motion, interpolated motion,
straight -line motion.



08
4 Robot vision:
Image representation, template matching, polyhedral objects, shane analysis,
segmentation (thresholding, region labelling, shrink operators, swell operators, Euler
numbers, perspective transformation, structured illumination, cameracalibration).
06
5 Task planning:
Task level programming, uncertainty, configuration, space, gross motion, planning,
Grasp planning, fine-motion planning, simulation of planar motion,source and goal
scenes, task planner simulation.
06
6 Applications in biomedical engineering:
Application in rehabilitation: clinical and surgery
05

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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.



Books Recommended:
Text Books:
1. Fundamentals of Robotics -Analysis and control, Robert Shilling, Prentice Hall of India
2. Introduction to Robotics, Saeed B Niku, Pearson Education
3. Robotics, Fu, Gonzales and Lee, McGraw Hill, SecondEdition,2011
4. “Introduction to Robotics –Mechanics &Control” John J. Craig, Pearson
Education, India, Third Edition, 2009

Reference Books:
1. Robotics and AI, Staughard, , Prentice Hall Of India.
2. Industrial Robotics Grover, Wiess, Nagel, Oderey, McGraw Hill.
3. Robotics and Mechatronics, Walfram Stdder, Mc Graw Hill, NewYork, 2008
4. Robot Engineering, Klafter, Chmielewski, Negin. Prentice Hall Of India.
5. Robotics and Control. Mittal, Nagrath, Tata McGraw Hill publications



Theory Examination :
1. Question paper will comprise of 6 questions, each carrying 20 marks.
2. Total four questions need to be solved.
3. Q.1 will be compulsory, based on entire syllabus wherein sub questions of 2 to 5 marks will be
asked.
4. Remaining question will be randomly selected from all the modules

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Course
Code Course Name Teaching scheme Credit assigned



BMDO8012 Department
Optional
Course –5
Healthcare
Informatics
(Abbreviated as
HCI) Theory Pract. Tut. Theory Pract Tut Total


03

--

--

03

--

--

03




Course
Code

Course
Name Examination Scheme
Theory

Term
work

Pract

Oral

Pract
/ Oral

Total Internal
Assessment
End
sem Dur
a
tion
(hrs
) Test
1 Test
2 Avg.

BMDO801
2 Department
Optional
Course –5
Healthcare
Informatics
(HCI)

20

20

20

80

03

--

--

--

--

100






Course Code Course Name Credits
BMDO8012 Healthcare Informatics 03
Course
Objectives • To understand the healthcare interoperability semantic and syntactic.
• To understand the standards of healthcare interoperability standards for Medical Images
and Medical Messages.


Course
Outcomes Learners will be able to:
• Understand Healthcare interoperability standards
• Fabricate HL7 Messages
• Understand and Design UML Diagrams
• Understand semantic interoperability through DICOM
• Edit and Compare DICOM file

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Module Contents Hours
1. Healthcare interoperability:
Standards in healthcare system, categorizing standards, standard development,
various healthcare informatics standards, need for a Lingua Franca, electronichealth
records, interoperability modelling basics.
05
2. HL7 Version 2 (Part -I)
Message syntax, delimiters, segment definition, message header MSH, patient
identification details (PID), patient visit (PV1), request and specimen details (OBR),
result details (OBX). 04
3. HL7 Version 2 (Part -II)
Z-Segments, data, simple data types, complex data types, codes and identifiers,
names and addresses, other complex data types. 04
4. DICOM standard:
Introduction, DICOM Grammar: VRs, DICOM data dictionary, DICOM objects,
DICOM information hierarchy, modules, IODs and IEs. 07
5. DICOM Communications:
DICOM SOPs, unit identification on n/w, services and data, DIMSE Example: C -
Echo, storage, query: find, C-Find IOD, C-Find DIMSE, C-Cancel, modality
Worklist, Basic DICOM retrieval: C -Get, advanced DICOM retrieval: C -Move,
DICOM: ping, push and pull. 09
6. DICOM Associations
Association establishment, transfer syntax, application context,
DICOM Media: Files, Folders, and DICOMDIRs
DICOM File format, DICOM file services, storing DICOM data in PACS. 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.
Books Recommended:

Textbooks:
1. Principles of Health Interoperability HL7 and SNOMED (Health Information Technology
Standards) by Tim Benson, Springer Publication.
2. Digital Imaging and Communication in Medicine (DICOM) by Oleg S. Pianykh, Springer
Publication.
3. The CDATM Book, By Keith Boone, Springer Publication.

Reference Books:
1. Informatics in Medical Imaging, George C. Kagadis, Steve G. Langer, CRC Press.

Theory Examination:
1. Question paper will comprise of 6 questions, each carrying 20 marks.
2. Total four questions need to be solved.
3. Q.1 will be compulsory, based on entire syllabus wherein sub questions of 2 to 5 marks will be
asked.
4. Remaining question will be randomly selected from all the modules.

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Course Code Course Name Teaching scheme Credit assigned



BMDO8013 Department
Optional
Course –5
Artificial
Intelligence in
Medicine
(Abbreviated as
AIM) Theory Pract. Tut. Theory Pract. Tut. Total



03


--


--


03


--


--


03




Course
Code

Course
Name Examination Scheme
Theory
Term
work

Pract

Oral
Pract.
/ Oral

Total Internal
Assessment
End
sem Dur
a
tion
(hrs) Test
1 Test
2 Avg.


BMDO801
3 Departmen
t Optional
Course –5
Artificial
Intelligence
in Medicine
(AIM)


20


20


20


80


3


--


--


--


--

100



Course Code Course Name Credits
BMDO8013 Artificial Intelligence in Medicine 03
Course
Objectives • To understand basics of Artificial Intelligence, Intelligent Agents.
• To conceptualize search techniques.
• To understand exert system in Artificial Intelligence



Course
Outcomes Learner will be able to…
• Develop a basic understanding of intelligent agents in artificial intelligence
• Choose an appropriate problem -solving method and knowledge representation
technique
• Comprehend the concept of propositional logic
• Understand Reasoning and Knowledge Representation
• Develop basic understanding of expert system and it’s applications
• Learn AI applications in health care

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Module Contents Hours
1 Basics of Artificial Intelligent:
Definition and concept of Artificial Intelligence, stages of AI, intelligent agents in
artificial intelligence, foundations of AI and applications, current trends in AI 04
2 Problem Spaces, and Search:
Breadth first search, depth first search techniques, iterative deepening, bidirectional
search, best first search, Heuristic search, Hill Climbing, A* Search,
Problem reduction and game playing: Introduction, problem reduction, game
playing, alphabeta pruning, two-player perfect information games 10
3 Logic concepts:
Introduction, propositional calculus, propositional logic, natural deduction system,
axiomatic system, semantic tableau system in proportional logic, resolution refutation
in proportional logic, predicate logic 07
4 Knowledge Representation:
Problems in representing knowledge, knowledge representation using propositional
and predicate logic, logical consequences, syntax and semantics of an expression,
semantic Tableau.
Forward and backward reasoning. Proof methods, substitution and unification,
conversion to clausal form, normal forms, resolution, refutation, deduction, theorem
proving, inferencing, monotonic and non -monotonic reasoning. 08
5 Expert system and applications:
Introduction phases in building expert systems, expert system versus traditional
systems, rule -based expert systems blackboard systems truth maintenance systems,
application of expert systems 06
6 AI in Healthcare:
Benefits of AI in medicine, AI and Medical visualization, Medical Expert system,
Applying AI to EHR Data, Artificial Intelligence in Medical Imaging 04

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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.

Books Recommended:
Text Books:

1 Stuart J. Russell and Peter Norvig, "Artificial Intelligence: A Modern Approach ”,
Fourth Edition" Pearson Education, 2020.
2 Saroj Kaushik, “Artificial Intelligence ”, Cengage Learning, First edition, 2011
3 Itisha Gupta and Garima Nagpal, “Artificial Intelligence and Expert
System ”, Laxmi Publications, 1st Edition 2018

Reference Books:

1. Nils J. Nilsson, Principles of Artificial Intelligence, Narosa Publication.
2. Deepak Khemani, A First Course in Artificial Intelligence, McGraw Hill
Publication
3. Patrick H. Winston, Artificial Intelligence, 3rd edition, Pearson Education.
4. Elaine Rich and Kevin Knight, " Artificial Intelligence ”, Third Edition,
McGraw Hill Education,2017 .

Theory Examination :
1. Question paper will comprise of total 06 questions, each carrying 20
marks.
2. Total 04 questions need to be solved.
3. Question No: 01 will be compulsory and based on entire syllabus
4. Remaining questions will be randomly selected from all the modules
depending the weightage.


Useful Links:
1 https://nptel.ac.in/courses/106/105/106105078/
2 https://archive.nptel.ac.in/courses/106/105/106105077/#
3 https://nptel.ac.in/courses/106/105/106105079/

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Course
Code Course Name Teaching scheme Credit assigned


BMDO8021 Department
Optional
Course –6
Biomedical
Microsystems
(Abbreviated
as BM) Theory Pract. Tut. Theory Pract. Tut. Total


03

--

--

03

--

--

03





Course
Code


Course Name Examination Scheme
Theory Term
work Pract Oral Pract.
/Oral Total
Internal
Assessment End
sem Duratio
n (hrs)
Test
1 Test
2 Avg.

BMDO8021 Department
Optional
Course –6
Biomedical
Microsystems
(BM)

20

20

20

80

3

--

--

--

--

100




Course Code Course Name Credits
BMDO8021 Biomedical Microsystems 03
Course
Objectives • To understand various fabrication techniques for MEMS devices.
• To apply the knowledge of MEMS in Biomedical field.
• To understand recent advancements in Biomedical Engineering for a successful career
in the area of nanotechnology.
Course
Outcomes Learner will be able to…
• Understand basic property and select appropriate material for MEMS application
• Develop or modify the MEMS processes for a simple MEMS device in order to reduce
the fabrication time.
• Understand different microfabrication techniques and choose appropriate technique
• Analyse Micro total analysis system with designing of its components
• Demonstrate working principles of Bio Nano -sensors and drug delivery devices with
types and fabrication
• Understand packaging techniques used in MEMS

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Module Contents Hours
1. Introduction to miniaturization:
• Difference between Microelectronics and MEMs, Block diagram of MEMS and
BIOMEMS, examples. Introduction to generalised processes used.
• Clean room: definition, classification, air flow system
• Safety in handling hazardous materials in clean room
• Scaling Laws in Miniaturization
• Substrates and Wafers: CZ process and float zone process, Wafer types
• Materials: Properties and applications of single crystal silicon, SiO2, Si3N4, SiC,
Polysilicon, Glass
• Wafer cleaning processes: RCA, Piranha
• Positive and negative photoresist, mask, material properties of PMMA, SU8
• Different projection systems,
• Surface characterization techniques: AFM, SEM, TEM, Ellipsometer,
Profilometer 06
2. MEMS Fabrication Processes
• Photolithography: Definition, steps, light sources (UV, DUV, EUV)
• PVD: definition, types: Evaporation (Thermal and E-beam) and Sputtering (DC
and RF), advantages, disadvantages, Material properties of Al
• CVD: definition, reaction steps, types: APCVD, LPCVD, PECVD, and
HWCVD, advantages, disadvantages
• Oxidation: Thermal
• Polymers coating techniques: spinning, spraying and electrodeposition
• Doping: definition, types: Ion implantation and Diffusion, advantages,
disadvantages
• Etching: types: Dry etching (RIE, DRIE) and wet etching (isotropic and
anisotropic), advantages, disadvantages, specific etchants 07
3. Microfabrication Techniques
• Bulk micromachining: definition, advantages and disadvantages , Examples:
pressure sensor, dissolved wafer process
• Surface micromachining: definition, advantages and disadvantages Examples:
pressure sensor, cantilever
• Non polysilicon surface micromachining: SOI fabrication
• LIGA: definition, process steps, examples, advantages and disadvantages
• X-ray lithography: Synchrotron radiation, X-ray mask
• Molding techniques: Injection, compression, hot embossing
• Soft lithography: Definition, SAMs, Types: Micro Contact Printing, Material
properties of PDMS, Gold, Conducting polymers
• Micro molding techniques: Replica molding, Microtransfer molding,
Micromolding in capillaries and Solvent -assisted micromolding 07
4. MICRO TOTAL ANALYSIS SYSTEMS (µTAS)
• Flow techniques in µ-fluidics: pressure driven force, electro -osmosis,
electrophoresis
• Micropump, microvalves: types and fabrication
• Microchannels: Types and fabrication (SU8, glass, silicon) 07

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• Separation techniques: capillary electropherosis, electrochromatography,
isoelectric focusing
• Detection techniques: fluorescence, chemiluminiscence
5. MICRO/ NANO BIOSENSORS AND DRUG DELIVERY DEVICES
• Biosensor: definition, block diagram
• Classification based on the basis of detection techniques: electric, magnetic,
optical, thermal, mechanical, and chemical
• Basic steps involved in the development of biosensors: surface modification,
immobilization, integration with transducer
• Design, fabrication of cantilever for antibody detection
• Hypodermic needles, transdermal patches: disadvantages
• Micro needles: solid, hollow, polymer, silicon (fabrication)
• Nano particles for drug delivery 06
6 MICROSYSTEM PACKAGING
• Packaging materials
• Levels of packaging
• Comparison between IC and MEMS packaging
• Packaging technologies: Die preparation, surface bonding, wire bonding, sealing
• Pressure sensor packaging 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.
Books Recommended:
Text Books:
1. MEMS & MICROSYSTEMS Design and Manufacture, Tai-Ran Hsu, TATA McGraw -
Hill.
2. Fundamentals of Microfabrication, Marc Madou, CRC Press.
Reference Books:
1. Fundamentals of BioMEMS and Medical Microdevices, Steven S. Saliterman, (SPIE Press
Monograph Vol. PM153 by Wiley Interscience
2. Microsystem Technology”, W. Menz, J. Mohr, 0. Paul, WILEY -VCH, ISBN 3. 527-29634 -4
3. Electro Mechanical System Design”, James J. Allen, Taylor & Francis Group, LLC, ISBN -0-
8247 -5824 -2, 2005
4. MICROSYSTEM DESIGN, Stephen D. Senturia, KLUWER ACADEMIC PUBLISHERS,
eBook ISBN: 0 -306-47601 -0
Theory Examination :
1. Question paper will comprise of total 06 questions, each carrying 20 marks.
2. Total 04 questions need to be solved.
3. Question No: 01 will be compulsory and based on entire syllabus wherein sub-questions of
marks will be asked.
4. Remaining questions will be randomly selected from all the modules depending the weightage.

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Course
Code Course Name Teaching scheme Credit assigned

BMDO8022
Medical Devices
Regulations
(Abbreviated as
MDR) Theory Pract. Tut. Theory Pract. Tut. Total

03
--
--
03
--
--
03



Course
Code

Course
Name Examination Scheme
Theory
Term
work
Prac
t

Oral
Pract.
/ Oral
Tota
l Internal
Assessment
End
sem Dura
tion
(hrs) Test
1 Test
2 Avg.
BMDO802
2 Medical
Devices
Regulatio
ns (MDR)
20
20
20
80
03
--
--
--
--
100


Course Code Course Name Credits
BMDO8022 Medical Devices Regulations 03
Course
Objectives
• To familiarize the learners with the regulatory aspects of medical devices and
instruments.
• To keep the learners abreast with the technological developments in the field of
Medical devices regulatory affairs.

Course
Outcomes Learner will be able to:
• Discuss credibility & authorities of approvals, medical devices life cycle, risk based
classification and risk based approach for regulatory controls.
• Explain principles of safety and effectiveness, quality management system, Various
standards (American, European, BIS), risk management, cyber security and clinical
evaluation.
• Describe technical documentation required by regulators, essential requirements
checklist, risk management summary report, manufacturing information, regulated
product submissions and regulatory submission repository.
• Highlight premarket phase like design controls, information management during
premarket phase, R&D planning stage, design & development process stage and
product identification & traceability.
• Perform regulatory submissio ns, approvals and registration.
• Launch the product, do post market surveillance, look after product obsolescence,
oversee quality management system and regulatory system & processes.

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Module Contents Hours

1. Overview of regulatory framework for medical devices: Credibility and
authority of approvals, medical devices life cycle, risk -based classification,
risk-based approach for regulatory controls. Introduction to International
Regulatory Requirements & Device Pathways.
07

2. Safety & Effectiveness: Principles of safety and effectiveness, Quality
management system, Standards, Risk management, Cybersecurity, Clinical
evaluation. Classification of Biomedical Instruments, based on safety
standards, Approach to Bioethics
07

3. Technical Documentation: Technical documentation required by regulators,
Essential requirements checklist, Risk management summary report,
Manufacturing information, Regulated product submissions, Regulatory
submission repository
07

4. Premarket phase: Design controls, Information management during
premarket phase, R&D planning stage, Design & development process stage,
product identification & traceability, Case study
06
5. Regulatory submissions, approvals and registration : Administrative
provisions, regulatory submission and approval, International scenario 06

6. Post market phase: Product launch, continued regulatory compliance, Post
market surveillance, Product obsolescence, Quality management system,
Regulatory system, and processes. Types of medical device audits. Medical
device Compliance Audit
06

Internal 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.

Books Recommended:
Textbooks:
1. Medical device regulatory practices, Val Theisz, PAN Satnford Publishing
2. Handbook of Medical Device regulatory affairs in Asia, edited by Jack Wong and Raymond KY
Tong
3. Medical Device Regulations: Global Overview and Guiding Principles, Michael Cheng, World
Health Organization.
Reference Books:
1. Daniel A. Vallero - Biomedical Ethics for Engineers_ Ethics and Decision Making in Biomedical
and Biosystem Engineering (Biomedical Engineering Series) -Academic Press
2. Encyclopedia of Medical Devices and Instrumentation: John G. Webster. Vol. I, II, III, IV (Marcel
Dekkar Pub).
3. Ethics for Biomedical Engineers, Jong Yong Abdiel Foo, Stephen J. Wilson, Andrew P. Bradley,
Winst on Gwee, Dennis Kwok -Wing Tam (auth.) , Springer -Verlag New York
Theory Examination :
1. Question paper will comprise of total 06 questions, each carrying 20 marks.
2. Total 04 questions need to be solved.
3. Question No: 01 will be compulsory and based on entire syllabus wherein sub-questions of marks
will be asked.
4. Remaining questions will be randomly selected from all the modules depending the weightage.

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Course
Code Course Name Teaching scheme Credit assigned


BMDO8023 Department
Optional
Course –6
Ergonomics
(Abbreviated
as ERG) Theory Pract. Tut. Theory Pract. Tut. Total

03
--
--
03
--
--
03





Course
Code


Course
Name Examination Scheme
Theory Term
work Prac
t Oral Pract.
/Oral Total
Internal
Assessment End
sem Duration
(hrs)
Test
1 Test
2 Avg.


BMDO8023 Departme
nt
Optional
Course –6
Ergonomics
(ERG)

20

20

20

80

3

--

--

--

--
100


Course Code Course Name Credits
BMDO8023 Ergonomics 03
Course
Objectives • To understand various fabrication techniques for MEMS devices.
• To apply the knowledge of MEMS in Biomedical field.
• To understand recent advancements in Biomedical Engineering for a successful
career in the area of nanotechnology.
Course
Outcomes Learner will be able to…
• Understand basic property and select appropriate material for MEMS application
• Develop or modify the MEMS processes for a simple MEMS device in order to
reduce the fabrication time.
• Understand different microfabrication techniques and choose appropriate technique
• Analyse Micro total analysis system with designing of its components
• Demonstrate working principles of Bio Nano -sensors and drug delivery devices with
types and fabrication
• Understand packaging techniques used in MEMS

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Module Contents Hours
1. Introduction to Ergonomics
• Definition of Ergonomics and its application and overview.
• Ergonomics in systems design, and steps to performing a task analysis. In class
practice performing a task analysis. 08
2. Design Man Machine Environment System Design
• Overview of Human body and its sub systems.
• Understanding musculoskeletal system and its function in terms of manual
activities
• Understanding nervous system, human sensory organs and their limitations.
• Basic Bio mechanics and its application in design 09
3. Muscle Use and Anthropometry and Workspace
• Anthropometry and its application
• Issues of cognition, perception and performance.
• Study of work posture and its impact on human performance.
• Physical environment and their impact on human performance
• Muscular work including dynamic and static work, nervous control of
movement, skilled work and ways to improve work efficiency.
• Use of anthropometric data in ergonomics.
• Principles of workspace design, including seated work, standing work, work
reaches and working heights, the office environment and visual work 10
4. Occupational stress and Musculoskeletal disorders; Safety and health issues
Cognitive aspects of user-system interaction:
• Perception, information processing, user behaviour, error and risk perception; 04
5. Principles of human factors in visual communication
• Visual display in different planes - static shape, size, font type and dynamic
characters of display 04
6 Environmental factors influencing human performance
• Participatory ergonomics aspects 04

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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.

Books Recommended:
Text Books:
1. Bridger, R., Introduction to Ergonomics, 3rd Ed., CRC Press, Taylor & Francis Group, 2009.
2. Sanders, M., McCormick, E., Human Factors in Engineering and Design, 7th Ed., McGraw -Hill
International Editions: Psychology Series, 2013
3. Wicknes, C., Gordon, S., Liu, Y., and Gordon -Becker, S., An Introduction to Human Factors
Engineering, Longman, New York, 2015
4. Chakrabarti, D., Indian Anthropometric Dimensions for ergonomic design practice, National
Institute of Design, Ahmedabad, 1997
5. Salvendy, G. (ed.), Handbook of Human Factors and ergonomics, 4th Ed., John Wiley & Sons,
Inc., 2012
6. Dul, J., Weerdmeester, B., Ergonomics for beginners, a quick reference guide, 3rd Ed., CRC
Press, Taylor & Francis Group, 2008.

Reference Books:
1. J. Dul, and B. Weerdmeester, Ergonomics for beginners, a quick reference guide, Taylor &
Francis, 1993.
2. E.Grandjean : Fitting the task to the man, Taylor & Francis Ltd.1980.
3. J. Ansel, Visual ergonomics in the workplace, Taylor & Francis, London, 1998
4. W. Karwowski and W. S. Marras, The Occupational Ergonomics handbook, CRC Press, New
York, 1999.
5. M. S. Sanders and E. J. McCormick, Human Factors in Engineering and Design, McGraw -Hill,
Inc., 1993.
6. K. Kroemer, H. B. Kroemer and K. E. Kroemer, Ergonomics - How to Design for Easy and
Efficiency, Prentice Hall Englewood Cliffs, NJ 07632, 1994.

Theory Examination :
5. Question paper will comprise of total 06 questions, each carrying 20 marks.
6. Total 04 questions need to be solved.
7. Question No: 01 will be compulsory and based on entire syllabus wherein sub-questions of marks
will be asked.
8. Remaining questions will be randomly selected from all the modules depending the weightage.

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Course
Code
Course Name Teaching
scheme (Contact
Hours)
Credits Assigned

ILO 8021 Project
Management Theory Pract./Tut. Theory Pract./Tut. Tota
l
3 -- 3 -- 3


Course
code

Course Name Examination Scheme
Theory
Term
Work
Oral
Total Internal Assessment End
Sem.
Exam Exam
Duration
(in Hrs) Test 1 Test 2 Avg
ILO7019 Development
Engineering 20 20 20 80 3 -- -- 100


Course
Objective
s • 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.


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

Module Detailed Contents Hours


1 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)

05


2 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 project
team, Stages of team development & growth (form ing, storming, norming
&performing), team dynamics.

06


3 Project Planning and Scheduling:
Work Breakdown structure (WBS) and linear responsibility chart, Interface; Co -
ordination and concurrent engineering, Project cost estimation and budgeting, Top
down and bottoms up budgeting, Networking and Scheduling techniques. PERT,
CPM, GANTT chart, Introduction to Project Management Information
System (PMIS).

08

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4 Planning Projects:
Crashing project time, Resource loading and levelling, 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 and
impact matrix. Risk response strategies for positive and negative risks

06




5 5.1 Executing Projects:
Planning monitoring and controlling cycle, Information needs and reporting,
engaging with all stakeholders of the projects, Team management,communication
and project meetings
5.2 Monitoring and Controlling Projects:
Earned Value Management techniques for measuring value of work completed;
Using milestones for measurement; change requests and scope creep, Project audit
5.3 Project Contracting
Project procurement management, contracting and outsourcing,



08



6 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 termination, 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 templates and other
resources; Managing without authority; Areas of further study.


06

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

Assessment:
Internal Assessment for 20 marks:
Consisting Two Compulsory Class Tests
First test based on approximately 40% of contents and second test based on remaining
contents (approximately 40% but excluding contents covered in Test I)

End Semester Examination:
Weightage of each module in end semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.
1. Question paper will comprise of total six questions , each carrying 20 marks
2. Question 1 will be compulsory and should cover maximum contents of the curriculum
3. Remaining questions will be mixed in nature (for example if Q.2 has part (a) from
module 3 then, part (b) will be from any module other than module 3)
4. Only Four questions need to be solved

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Course
Code
Course Name Teaching
scheme (Contact
Hours)
Credits Assigned

ILO 8022 Finance
Management Theory Pract./Tut. Theory Pract./Tut. Tota
l
3 -- 3 -- 3


Course
code

Course Name Examination Scheme
Theory
Term
Work
Oral
Total Internal Assessment End
Sem.
Exam Exam
Duration
(in Hrs) Test 1 Test 2 Avg
ILO 8022 Finance
Management 20 20 20 80 3 -- -- 100


Course
Objective
s • 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.

Course
Outcomes Upon successful completion of this course, the learner will be able to:
• Understand Indian finance system and corporate finance
• Take investment, finance as well as dividend decisions

Module Detailed Contents Hours




1 Overview of Indian Financial System: Characteristics, Components and
Functions of Financial System.
Financial Instruments: Meaning, Characteristics and Classification of Basic
Financial Instruments — Equity Shares, Preference Shares, Bonds -Debentures,
Certificates of Deposit, and Treasury Bills.
Financial Markets: Meaning, Characteristics and Classification of Financial
Markets — Capital Market, Money Market and Foreign Currency Market
Financial Institutions: Meaning, Characteristics and Classification of Financial
Institutions — Commercial Banks, Investment -Merchant Banks and Stock
Exchanges



06



2 Concepts of Returns and Risks: Measurement of Historical Returns and
Expected Returns of a Single Security and a Two-security Portfolio; Measurement
of Historical Risk and Expected Risk of a Single Security and a Two -security
Portfolio.
Time Value of Money: Future Value of a Lump Sum, Ordinary Annuity, and
Annuity Due; Present Value of a Lump Sum, Ordinary Annuity, and Annuity Due;
Continuous Compounding and Continuous Discounting.


06

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3 Overview of Corporate Finance: Objectives of Corporate Finance; Functions of
Corporate Finance —Investment Decision, Financing Decision, and Dividend
Decision.
Financial Ratio Analysis: Overview of Financial Statements —Balance Sheet,
Profit and Loss Account, and Cash Flow Statement; Purpose of Financial Ratio
Analysis; Liquidity Ratios; Efficiency or Activity Ratios; Profitability Ratios;
Capital Structure Ratios; Stock Market Ratios; Limitations of Ratio Analysis.


09





4 Capital Budgeting: Meaning and Importance of Capital Budgeting; Inputs for
Capital Budgeting Decisions; Investment Appraisal Criterion —Accounting Rate of
Return,
Payback Period, Discounted Payback Period, Net Present Value(NPV),
Profitability
Index, Internal Rate of Return (IRR), and Modified Internal Rate of Return
(MIRR)
Working Capital Management: Concepts of Meaning Working Capital;
Importance of Working Capital Management; Factors Affecting an Entity’s
Working Capital Needs; Estimation of Working Capital Requirements;
Management of Inventories; Management of Receivables; and Management of
Cash and Marketable Securities.




10



5 Sources of Finance: Long Term Sources —Equity, Debt, and Hybrids; Mezzanine
Finance; Sources of Short Term Finance —Trade Credit, Bank Finance,
Commercial Paper; Project Finance.
Capital Structure: Factors Affecting an Entity’s Capital Structure; Overview of
Capital Structure Theories and Approaches — Net Income Approach, Net
Operating Income Approach; Traditional Approach, and Modigliani -Miller
Approach. Relation between
Capital Structure and Corporate Value; Concept of Optimal Capital Structure


05


06 Dividend Policy: Meaning and Importance of Dividend Policy; Factors Affecting
an
Entity’s Dividend Decision; Overview of Dividend Policy Theories and
Approaches —
Gordon’s Approach, Walter’s Approach, and Modigliani -Miller Approach

03

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



Assessment :

Internal Assessment for 20 marks:
Consisting Two Compulsory Class Tests
First test based on approximately 40% of contents and second test based on remaining
contents (approximately 40% but excluding contents covered in Test I)

End Semester Examination:
Weightage of each module in end semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.
1. Question paper will comprise of total six questions , each carrying 20 marks
2. Question 1 will be compulsory and should cover maximum contents of the
curriculum
3. Remaining questions will be mixed in nature (for example if Q.2 has part (a) from
module 3 then, part (b) will be from any module other than module 3)
4. Only Four questions need to be solved .

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University of Mumbai, Biomedical Engineering, Rev 2022 -23

Course
Code
Course Name Teaching
scheme (Contact
Hours)
Credits Assigned

ILO8023 Entrepreneurshi
p Development
and
Management Theory Pract./Tut. Theory Pract./Tut. Tota
l
3 -- 3 -- 3


Course
code

Course Name Examination Scheme
Theory
Term
Work
Oral
Total Internal Assessment End
Sem.
Exam Exam
Duration
(in Hrs) Test 1 Test 2 Avg

ILO8023 Entrepreneurshi
p Development
and
Management
20
20
20
80
3
--
--
100

Course
Objective
s • To acquaint with entrepreneurship and management of business
• Understand Indian environment for entrepreneurship
• Idea of EDP, MSME

Course
Outcomes Upon successful completion of this course, the 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 Hours



1 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 Ownership
Role of Money and Capital Markets in Entrepreneurial Development:
Contribution of
Government Agencies in Sourcing information for Entrepreneurship


04



2 Business Plans and Importance of Capital to Entrepreneurship: Preliminary
and Marketing Plans, Management and Personnel, Start -up Costs and Financing
as well as
Projected Financial Statements, Legal Section, Insurance, Suppliers and Risks,
Assumptions and Conclusion, Capital and its Importance to the Entrepreneur
Entrepreneurship and Business Development: Starting a New Business,
Buying an Existing Business, New Product Development, Business Growth and
the Entrepreneur Law and its Relevance to Business Operations


09

3 Women’s Entrepreneurship Development, Social entrepreneurship -role and need,
EDP cell, role of sustainability and sustainable development for SMEs, case
studies, exercises
05

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4 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 Fund, PMEGP, discussions, group exercises etc.


08

5 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, supply chain
management, linkage with large industries), exercises, e-Marketing
08

6 Achieving Success In The Small Business: Stages of the small business life cycle,
four types of firm -level growth strategies, Options – harvesting or closing small
business Critical Success factors of small business
05
REFERENCES:
1. Poornima Charantimath, Entrepreneurship development - Small Business Enterprise,
Pearson
2. Education Robert D Hisrich, Michael P Peters, Dean A Shapherd, Entrepreneurship, latest
edition, The McGrawHill Company
3. Dr TN Chhabra, Entrepreneurship Development, Sun India Publications, New Delhi
4. Dr CN Prasad, Small and Medium Enterprises in Global Perspective, New century
Publications, New Delhi
5. Vasant Desai, Entrepreneurial development and management, Himalaya Publishing House
6. Maddhurima Lall, Shikah Sahai, Entrepreneurship, Excel Books
7. Rashmi Bansal, STAY hungry STAY foolish, CIIE, IIM Ahmedabad
8. Law and Practice relating to Micro, Small and Medium enterprises, Taxmann Publication
Ltd.
9. Kurakto, Entrepreneurship - Principles and Practices, Thomson Publication
10. Laghu Udyog Samachar
11. www.msme.gov.in
12. www.dcmesme.gov.in
13. www.msmetraining.gov.in

Assessment :
Internal Assessment for 20 marks:
Consisting Two Compulsory Class Tests
First test based on approximately 40% of contents and second test based on remaining
contents (approximately 40% but excluding contents covered in Test I)

End Semester Examination:
Weightage of each module in end semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.
1. Question paper will comprise of total six questions , each carrying 20 marks
2. Question 1 will be compulsory and should cover maximum contents of thecurriculum
3. Remaining questions will be mixed in nature (for example if Q.2 has part (a) frommodule 3 then,
part (b) will be from any module other than module 3)
4. Only Four questions need to be solved.

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University of Mumbai, Biomedical Engineering, Rev 2022 -23



Course
Code
Course Name Teaching
scheme (Contact
Hours)
Credits Assigned

ILO8024 Human
Resource
Management Theory Pract./Tut. Theory Pract./Tut. Tota
l
3 -- 3 -- 3


Course
code

Course Name Examination Scheme
Theory
Term
Work
Oral
Total Internal Assessment End
Sem.
Exam Exam
Duration
(in Hrs) Test 1 Test 2 Avg

ILO8024 Human
Resource
Management
20
20
20
80
3
--
--
100


Course
Objective
s • To introduce the students with basic concepts, techniques and practices of the human
resource management
• To provide opportunity of learning Human resource management (HRM) processes,
related with the functions, and challenges in the emerging perspective of today’s
organizations
• To familiarize the students about the latest developments, trends & different aspects
of HRM
• To acquaint the student with the importance of inter-personal & inter-group
behavioural skills in an organizational setting required for future stable engineers,
leaders and managers


Course
Outcomes Upon successful completion of this course, the learner will be able to:
• Understand the concepts, aspects, techniques and practices of the human resource
management.
• Understand the Human resource management (HRM) processes, functions,
changes and challenges in today’s emerging organizational perspective.
• Gain knowledge about the latest developments and trends in HRM.
• Apply the knowledge of behavioural skills learnt and integrate it with in inter
personal and intergroup environment emerging as future stable engineers and
managers.

Module Detailed Contents Hours



1 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


05

2 Organizational Behaviour (OB)
• Introduction to OB Origin, Nature and Scope of Organizational Behaviour,
Relevance to Organizational Effectiveness and Contemporary issues
07

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• Personality: Meaning and Determinants of Personality, Personality development,
Personality Types, Assessment of Personality Traits for Increasing SelfAwareness
• Perception: Attitude and Value, Effect of perception on Individual Decision -
making, Attitude and Behaviour
• Motivation: Theories of Motivation and their Applications for Behavioural Change
(Maslow, Herzberg, McGregor);
• Group Behaviour and Group Dynamics: Work groups formal and informal groups
and stages of group development, Team Effectiveness: High performing teams,
Team Roles, cross functional and self -directed team.
Case study



3 Organizational Structure &Design
• Structure, size, technology, Environment of organization; Organizational Roles
& conflicts: Concept of roles; role dynamics; role conflicts and stress.
• Leadership: Concepts and skills of leadership, Leadership and managerial roles,
Leadership styles and contemporary issues in leadership.
• Power and Politics: Sources and uses of power; Politics at workplace, Tactics and
strategies.


06


4 Human resource Planning
• Recruitment and Selection process, Job-enrichment, Empowerment – Job
Satisfaction, employee morale
• Performance Appraisal Systems: Traditional & modern methods, Performance
Counselling, Career Planning
Training & Development: Identification of Training Needs, Training Methods 05



5 Emerging Trends in HR
• Organizational development; Business Process Re -engineering (BPR), BPR as a
tool for organizational development, managing processes & transformation in HR.
Organizational Change, Culture, Environment
• Cross Cultural Leadership and Decision Making : Cross Cultural Communication
and diversity at work , Causes of diversity, managing diversity with special
reference to handicapped, women and ageing people, intra company cultural
difference in employee motivation


06



6 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

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University of Mumbai, Biomedical Engineering, Rev 2022 -23


REFERENCES:
a. Stephen Robbins, Organizational Behavior, 16th Ed, 2013
b. V S P Rao, Human Resource Management, 3rd Ed, 2010, Excel publishing
c. Aswathapa, Human resource management: Text & cases, 6th edition, 2011
d. C. B. Mamoria and S V Gankar, Dynamics of Industrial Relations in India, 15th Ed, 2015,
Himalaya Publishing, 15thedition, 2015
e. P. Subba Rao, Essentials of Human Resource management and Industrial relations, 5th Ed,2013,
Himalaya Publishing
f. Laurie Mullins, Management & Organizational Behavior, 2016, Pearson Publications

Assessment :

Internal Assessment for 20 marks:
Consisting Two Compulsory Class Tests
First test based on approximately 40% of contents and second test based on remaining
contents (approximately 40% but excluding contents covered in Test I)

End Semester Examination:
Weightage of each module in end semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.
1. Question paper will comprise of total six questions , each carrying 20 marks
2. Question 1 will be compulsory and should cover maximum contents of the curriculum
3. Remaining questions will be mixed in nature (for example if Q.2 has part (a) from
module 3, then part (b) will, be from any module other than module 3)
4. Only Four questions need to be solved .

Page 101

99
University of Mumbai, Biomedical Engineering, Rev 2022 -23

Course
Code
Course Name Teaching
scheme (Contact
Hours)
Credits Assigned


ILO8025 Professional
Ethics and
Corporate Social
Responsibility
(CSR) Theory Pract./Tut. Theory Pract./Tut. Tota
l

3
--
3
--
3


Course
code

Course Name Examination Scheme
Theory
Term
Work
Oral
Total Internal Assessment End
Sem.
Exam Exam
Duration
(in Hrs) Test 1 Test 2 Avg


ILO8025 Professional
Ethics and
Corporate Social
Responsibility
(CSR)

20

20

20

80

3

--

--

100

Course
Objective
s • To understand professional ethics in business
• To recognized corporate social responsibility


Course
Outcomes Upon successful completion of this course, the learner will be able to:
• Understand rights and duties of business
• Distinguish different aspects of corporate social responsibility
• Demonstrate professional ethics
• Understand legal aspects of corporate social responsibility

Module Detailed Contents Hours

1 Professional Ethics and Business: The Nature of Business Ethics; Ethical Issues
in
Business; Moral Responsibility and Blame; Utilitarianism: Weighing Social Costs
and Benefits; Rights and Duties of Business
04


2 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


3 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

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4 Introduction to Corporate Social Responsibility: Potential BusinessBenefits —
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

5 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

6 Corporate Social Responsibility in Globalizing India: Corporate Social
Responsibility Voluntary Guidelines, 2009 issued by the Ministry of Corporate
Affairs, Government of India, Legal Aspects of Corporate Social Responsibility —
Companies Act, 2013.
08

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; Pearson,
New Delhi.
4. Corporate Social Responsibility in India (2015) by Bidyut Chakrabarty, Routledge, New
Delhi.

Assessment :

Internal Assessment for 20 marks:
Consisting Two Compulsory Class Tests
First test based on approximately 40% of contents and second test based on remaining
contents (approximately 40% but excluding contents covered in Test I)

End Semester Examination:
Weightage of each module in end semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.
1. Question paper will comprise of total six questions , each carrying 20 marks
2. Question 1 will be compulsory and should cover maximum contents of the curriculum
3. Remaining questions will be mixed in nature (for example if Q.2 has part (a) from
module 3 then, part (b) will be from any module other than module 3)
4. Only Four questions need to be solved .

Page 103

101
University of Mumbai, Biomedical Engineering, Rev 2022 -23

Course
Code
Course Name Teaching
scheme (Contact
Hours)
Credits Assigned

ILO8026 Research
Methodology Theory Pract./Tut. Theory Pract./Tut. Tota
l
3 -- 3 -- 3


Course
code

Course Name Examination Scheme
Theory
Term
Work
Oral
Total Internal Assessment End
Sem.
Exam Exam
Duration
(in Hrs) Test 1 Test 2 Avg
ILO8026 Research
Methodology 20 20 20 80 3 -- -- 100

Course
Objective
s • To understand Research and Research Process
• To acquaint students with identifying problems for research and develop research
strategies
• To familiarize students with the techniques of data collection, analysis of data and
interpretation


Course
Outcomes Upon successful completion of this course, the learner will be able to:
• Prepare a preliminary research design for projects in their subject matter areas
• Accurately collect, analyze and report data
• Present complex data or situations clearly
• Review and analyze research findings

Module Detailed Contents Hours



01 Introduction and Basic Research Concepts
1.1 Research – Definition; Concept of Construct, Postulate, Proposition, Thesis,
Hypothesis, Law, Principle. Research methods vs Methodology
1.2 Need of Research in Business and Social Sciences
1.3 Objectives of Research
1.4 Issues and Problems in Research
1.5 Characteristics of Research: Systematic, Valid, Verifiable, Empirical and
Critical


09



02 Types of Research
2.1. Basic Research
2.2. Applied Research
2.3. Descriptive Research
2.4. Analytical Research
2.5. Empirical Research
2.6 Qualitative and Quantitative Approaches


07


03 Research Design and Sample Design
3.1 Research Design – Meaning, Types and Significance
3.2 Sample Design – Meaning and Significance Essentials of a good sampling
Stages in
Sample Design Sampling methods/techniques Sampling Errors

07

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University of Mumbai, Biomedical Engineering, Rev 2022 -23







04 Research Methodology
4.1 Meaning of Research Methodology
4.2. Stages in Scientific Research
Process:
a. Identification and Selection of Research Problem
b. Formulation of Research Problem
c. Review of Literature
d. Formulation of Hypothesis
e. Formulation of research Design
f. Sample Design
g. Data Collection
h. Data Analysis
i. Hypothesis testing and Interpretation of Data
j. Preparation of Research Report





08

05 Formulating Research Problem
5.1 Considerations: Relevance, Interest, Data Availability, Choice of data,
Analysis of data, Generalization and Interpretation of analysis
04

06 Outcome of Research
6.1 Preparation of the report on conclusion reached
6.2 Validity Testing & Ethical Issues
6.3 Suggestions and Recommendation
04

REFERENCES:

1. Dawson, Catherine, 2002, Practical Research Methods, New Delhi, UBS Publishers
Distributors.
2. Kothari, C.R.,1985, Research Methodology -Methods and Techniques, New Delhi, Wiley
Eastern Limited.
3. Kumar, Ranjit, 2005, Research Methodology -A Step-by-Step Guide for Beginners,
(2nded), Singapore, Pearson Education
Assessment :

Internal Assessment for 20 marks:
Consisting Two Compulsory Class Tests
First test based on approximately 40% of contents and second test based on remaining
contents (approximately 40% but excluding contents covered in Test I)

End Semester Examination:
Weightage of each module in end semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.
1. Question paper will comprise of total six questions , each carrying 20 marks
2. Question 1 will be compulsory and should cover maximum contents of the curriculum
3. Remaining questions will be mixed in nature (for example if Q.2 has part (a) from
module 3 then part (b) will be from any module other than module 3)
4. Only Four questions need to be solved .

Page 105

103
University of Mumbai, Biomedical Engineering, Rev 2022 -23

Course
Code
Course Name Teaching
scheme (Contact
Hours)
Credits Assigned

ILO8027 IPR and
Patenting Theory Pract./Tut. Theory Pract./Tut. Tota
l
3 -- 3 -- 3


Course
code

Course Name Examination Scheme
Theory
Term
Work
Oral
Total Internal Assessment End
Sem.
Exam Exam
Duration
(in Hrs) Test 1 Test 2 Avg
ILO8027 IPR and
Patenting 20 20 20 80 3 -- -- 100

Course
Objective
s • To understand intellectual property rights protection system
• To promote the knowledge of Intellectual Property Laws of India as well as
International treaty procedures
• To get acquaintance with Patent search and patent filing procedure and
applications


Course
Outcomes Upon successful completion of this course, the 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 Hours



01 Introduction to Intellectual Property Rights (IPR) : Meaning of IPR, Different
category of IPR instruments - Patents, Trademarks, Copyrights, Industrial Designs,
Plant variety protection, Geographical indications, Transfer of technology etc.
Importance of IPR in Modern Global Economic Environment: Theories of
IPR,
Philosophical aspects of IPR laws, Need for IPR, IPR as an instrument of
development


05



02 Enforcement of Intellectual Property Rights: Introduction, Magnitude of
problem,
Factors that create and sustain counterfeiting/piracy, International agreements,
International organizations (e.g. WIPO, WTO) active in IPR enforcement
Indian Scenario of IPR: Introduction, History of IPR in India, Overview of IP
laws in India, Indian IPR, Administrative Machinery, Major international treaties
signed by Ind ia, Procedure for submitting patent and Enforcement of IPR at
national level etc.


07
03 Emerging Issues in IPR: Challenges for IP in digital economy, e-commerce,
human genome, biodiversity and traditional knowledge etc. 05

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University of Mumbai, Biomedical Engineering, Rev 2022 -23



04 Basics of Patents: Definition of Patents, Conditions of patentability, Patentable
and non-patentable inventions, Types of patent applications (e.g. Patent of addition
etc.), Process Patent and Product Patent, Precautions while patenting, Patent
specification Patent claims, Disclosures and non-disclosures, Patent rights
and infringement, Method of getting a patent

07

05 Patent Rules: Indian patent act, European scenario, US scenario, Australia
scenario, Japan scenario, Chinese scenario, Multilateral treaties where India is a
member (TRIPS agreement, Paris convention etc.)
08


06 Procedure for Filing a Patent (National and International): Legislation and
Salient Features, Patent Search, Drafting and Filing Patent Applications,Processing
of patent,
Patent Litigation, Patent Publication, Time frame and cost, Patent Licensing,
Patent Infringement
Patent databases: Important websites, Searching international databases

07


REFERENCE BOOKS:
1. Rajkumar S. Adukia, 2007, A Handbook on Laws Relating to Intellectual Property Rights in
India, The Institute of Chartered Accountants of India
2. Keayla B K, Patent system and related issues at a glance, Published by National Working
Group on Patent Laws
3. T Sengupta, 2011, Intellectual Property Law in India, Kluwer Law International
4. Tzen Wong and Graham Dutfield, 2010, Intellectual Property and Human Development:
Current Trends and Future Scenario, Cambridge University Press
5. Cornish, William Rodolph & Llewelyn, David. 2010, Intellectual Property: Patents,
Copyrights, Trade Marks and Allied Right, 7th Edition, Sweet & Maxwell
6. Lous Harns, 2012, The enforcement of Intellectual Property Rights: A Case Book, 3rd
Edition, WIPO
7. Prabhuddha Ganguli, 2012, Intellectual Property Rights, 1st Edition, TMH
8. R Radha Krishnan & S Balasubramanian, 2012, Intellectual Property Rights, 1st Edition,
Excel Books
9. M Ashok Kumar and mohd Iqbal Ali, 2-11, Intellectual Property Rights, 2nd Edition, Serial
Publications
10. Kompal Bansal and Praishit Bansal, 2012, Fundamentals of IPR for Engineers, 1st Edition,
BS Publications
11. Entrepreneurship Development and IPR Unit, BITS Pilani, 2007, A Manual on Intellectual
Property Rights,
12. Mathew Y Maa, 2009, Fundamentals of Patenting and Licensing for Scientists and
Engineers, World Scientific Publishing Company
13. N S Rathore, S M Mathur, Priti Mathur, Anshul Rathi , 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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University of Mumbai, Biomedical Engineering, Rev 2022 -23


Assessment :

Internal Assessment for 20 marks:
Consisting Two Compulsory Class Tests
First test based on approximately 40% of contents and second test based on remaining
contents (approximately 40% but excluding contents covered in Test I)

End Semester Examination:
Weightage of each module in end semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.
1. Question paper will comprise of total six questions , each carrying 20 marks
2. Question 1 will be compulsory and should cover maximum contents of the curriculum
3. Remaining questions will be mixed in nature (for example if Q.2 has part (a) from
module 3 then, part (b) will be from any module other than module 3)
4. Only Four questions need to be solved .

Page 108

106
University of Mumbai, Biomedical Engineering, Rev 2022 -23

Course
Code
Course Name Teaching
scheme (Contact
Hours)
Credits Assigned

ILO 8028 Digital Business
Management Theory Pract./ Tut. Theory Pract./Tut. Tota
l
3 -- 3 -- 3


Course
code

Course Name Examination Scheme
Theory
Term
Work
Oral
Total Internal Assessment End
Sem.
Exam Exam
Duration
(in Hrs) Test 1 Test 2 Avg
ILO 8028 Digital Business
Management 20 20 20 80 3 -- -- 100

Course
Objective
s • To familiarize with digital business concept
• To acquaint with E-commerce
• To give insights into E-business and its strategies

Course
Outcomes Upon successful completion of this course, 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 Computing,
Social media, BYOD, and Internet of Things (digitally intelligent
machines/services), Opportunities and Challenges in Digital Business

09





2 Overview of E-Commerce
E-Commerce - Meaning, Retailing in e-commerce -products and services,
consumer behavior, market research and advertisement
B2B-E-commerce -selling and buying in private e -markets, public B2B exchanges
and support services, e-supply chains, Collaborative Commerce, Intra business EC
and Corporate portals
Other E -C models and applications, innovative EC System -From E -government
and learning to C2C, mobile commerce and pervasive computing
EC Strategy and Implementation -EC strategy and global EC, Economics and
Justification of EC, Using Affiliate marketing to promote your e-commerce
business, Launching a successful online business and EC project, Legal, Ethics
and Societal impacts of EC




06

3 Digital Business Support services : ERP as e –business backbone, knowledge
Tope Apps, Information and referral system
Application Development: Building Digital business Applications and
infrastructure
06

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University of Mumbai, Biomedical Engineering, Rev 2022 -23



4 Managing E -Business -Managing Knowledge, Management skills for e -business,
managing Risks in e –business, Security Threats to e-business -Security Overview,
Electronic Commerce Threats, Encryption, Cryptography, Public Key and Private
Key Cryptography, 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

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, VinocenzoMorabito, Springer
7. Digital Business Discourse Erika Darics, April 2015, Palgrave Macmillan
8. E-Governance -Challenges and Opportunities in : Proceedings in 2nd International
Confer ence theory and practice of Electronic Governance
9. Perspectives the Digital Enterprise –A framework for Transformation, TCS consulting
journal Vol.5
10. Measuring Digital Economy -A new perspective - DoI:10.1787/9789264221796 -enOECD
Publishing

Assessment :

Internal Assessment for 20 marks:
Consisting Two Compulsory Class Tests
First test based on approximately 40% of contents and second test based on remaining
contents (approximately 40% but excluding contents covered in Test I)

End Semester Examination:
Weightage of each module in end semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.
1. Question paper will comprise of total six questions , each carrying 20 marks
2. Question 1 will be compulsory and should cover maximum contents of the curriculum
3. Remaining questions will be mixed in nature (for example if Q.2 has part (a) from
module 3 then, part (b) will be from any module other than module 3)
4. Only Four questions need to be solved .

Page 110

108
University of Mumbai, Biomedical Engineering, Rev 2022 -23

Course
Code
Course Name Teaching
scheme (Contact
Hours)
Credits Assigned

ILO8029 Environmental
Management Theory Pract./Tut. Theory Pract./Tut. Tota
l
3 -- 3 -- 3


Course
code

Course Name Examination Scheme
Theory
Term
Work
Oral
Total Internal Assessment End
Sem.
Exam Exam
Duration
(in Hrs) Test 1 Test 2 Avg
ILO8029 Environmental
Management 20 20 20 80 3 -- -- 100

Course
Objective
s • Understand and identify environmental issues relevant to India and global
concerns
• Learn concepts of ecology
• Familiarise environment related legislations

Course
Outcomes Upon successful completion of this course, the learner will be able to:
• Understand the concept of environmental management
• Understand ecosystem and interdependence, food chain
etc.
• Understand and interpret environment related legislations



Module Detailed Contents Hours

1 Introduction and Definition of Environment: Significance of Environment
Management for contemporary managers, Career opportunities, Environmental
issues relevant to India, Sustainable Development, the Energy scenario
10

2 Global Environmental concerns : Global Warming, Acid Rain, Ozone
Depletion, Hazardous Wastes, Endangered life-species, Loss of Biodiversity,
Industrial/Man -made disasters, Atomic/Biomedical hazards, etc.
06
3 Concepts of Ecology: Ecosystems and interdependence between living
organisms, habitats, limiting factors, carrying capacity, food chain, etc. 05

4 Scope of Environment Management, Role and functions of Government as a
planning and regulating agency
Environment Quality Management and Corporate Environmental Responsibility
10
5 Total Quality Environmental Management, ISO -14000, EMS certification. 05

6 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

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REFERENCES:
1. Environmental Management: Principles and Practice, C J Barrow, Routledge Publishers
London, 1999
2. A Handbook of Environmental Management Edited by Jon C. Lovett and David G. Ockwell,
Edward Elgar Publishing
3. Environmental Management, T V 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 Perspective, S N Chary and Vinod Vyasulu, Maclillan
India, 2000
6. Introduction to Environmental Management, Mary K Theodore and Louise Theodore, CRC
Press Environment and Ecology, Majid Hussain, 3rd Ed. Access Publishing.2015

Assessment:

Internal Assessment for 20 marks:
Consisting Two Compulsory Class Tests
First test based on approximately 40% of contents and second test based on remaining
contents (approximately 40% but excluding contents covered in Test I)

End Semester Examination:
Weightage of each module in end semester examination will be proportional to number of
respective lecture hours mentioned in the curriculum.
1. Question paper will comprise of total six questions , each carrying 20 marks
2. Question 1 will be compulsory and should cover maximum contents of the curriculum
3. Remaining questions will be mixed in nature (for example if Q.2 has part (a) from
module 3 then part (b) will be from any module other than module 3)
4. Only Four questions need to be solved .

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Course
Code Course Name Teaching scheme Credit assigned

BML801 Hospital
Management
(Abbreviated as
HM lab) Theory Pract. Tut. Theory Pract. Tut. Total

--
02
--
--
01
--
01


Course
Code
Course Name Examination Scheme
Theory
Term
work
Pract.
Oral Pract.
/ Oral
Total Internal Assessment End
sem Test 1 Test 2 Avg.

BML801 Hospital
Management
(HM Lab)
--
--
--
--
25
--
25
--
50



Course Code Course Name Credits
BML801 Hospital Management 01
Course Objectives • To understand the basic principles used for designing of various departments in
the hospital.
• To understand the role of Biomedical Engineer in hospital and basic develop
skills enabling to serve hospitals.
• To understand the overall functioning of various departments in the hospital.
Course Outcomes Learner will be able to…
• Apply the management concepts used specifically in hospital.
• Explain the management structure and its functions in hospital.
• Demonstrate the knowledge about the principles of designing and commissioning
of clinical services in the hospital.
• Demonstrate the knowledge about the roles and responsibilities of Biomedical
Engineer in hospital.
• Demonstrate the knowledge about the functions of other Engineering and
auxiliary services in the hospital.
• Apply environment and waste management concepts in healthcare industry.

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Syllabus: Same as that of BMC801 Hospital Management (HM).

List of Experiments and Assignments: (Any Four Experiments and Any Four Assignments)
1. Design of Registration form of hospital.
2. Prepare an organization chart for multi -speciality hospital
3. Prepare budget using EXCEL sheet for purchase of hospital equipment.
4. Preparation of Comparative Statement in Excel for purchase of medical equipment. (Any
Two)
5. Design the layout of Outpatient Department in hospital.
6. Design the layout of ICU in hospital.
7. Design the layout of Surgical Operation Theatre Complex in hospital.
8. Design the layout of Radiology Department in hospital.
9. Design the layout of Pathology Laboratory and Blood Bank Department in hospital.
10. Design the layout of Physiotherapy Department in hospital.
11. Design the layout of Central Sterile Supply Department in hospital.

Any other experiment based on syllabus which will help learner to understand topic/concept.
Group Presentation based on the assigned topic by visiting a hospital.
Books Recommended:
Text Books:
1. Hospital Management by Dr. Pradyna Pai,
2. Hospital Planning, Designing and Management: Kunders G D, Gopinath, A Katakam (Private Pub
Bangalore)

Reference Books:
1. Computers in Medicine: R. D. Lele (TMH Pub)
2. Hospital Care and Hospital Management AICTE Journal Vol. 1,2,3 by Dr. Kalanidhi. (AICTE
Pub Bangalore
3. Careers in Biomedical: Shantanu Thatte.
Assessment:
Term Work:
Term work shall consist of minimum 4 experiments, 4 assignments and presentation.
The distribution of marks for term work shall be as follows:
Laboratory work (Experiments): 10 M arks
Laboratory work (Assignments): 05 Marks
Presentations : 05 Marks
Attendance : 05 Marks
The final certification and acceptance of term work ensures the satisfactory performance of
laboratory work and minimum passing in the term work.
Oral examination will be based on suggested practical list and entire syllabus.

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Course
Code Course Name Teaching scheme Credit assigned


BMDL8011 Robotics In
Medicine
Laboratory
(Abbreviated as
RIM Lab) Theory Pract. Tut. Theory Pract. Tut. Total

--
02
--
--
01
--
01



Course
Code

Course Name Examination Scheme
Theory
Term
work
Pract.
Oral
Pract.
/ Oral
Total Internal Assessment End
sem Test
1 Test
2 Avg.

BMDL8011 Robotics In
Medicine
Laboratory
(RIM Lab)
--
--
--
--
25
--
25
--
50


Course Code Course Name Credits
BMDL8011 Robotics In Medicine Laboratory 01
Course
Objectives • To make the learner aware of fundamental concepts of Robotics
• To make learner study direct and Inverse Kinematics of Robots
• To make learner know the Trajectory and Motion planning.
• To make the learner know the Biomedical applications of robotics
Course
Outcomes • To describe direct and inverse kinematics of robots.
• To describe workspace envelop and trajectory planning for robots
• To apply various image processing tools for robotic manipulation
• To implement motion planning solutions using various algorithms
• To illustrate medical applications of robots


Syllabus: Same as that of BMDO8011 Hospital Management (HM).

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List of Experiments: (Any Seven)

Students can perform any other experiment/Mini project/ Seminar/ Scholarly paper review
based on the theory syllabus. The coding can be done in MATLAB/SCILAB/Python/C
1. Fundamental and Composite Rotations of Mobile frame with respect to fixed frame
2. Homogeneous Transformations and Screw Transformations
3. Kinematic configurations and Link Coordinate Transformations matrix(Arm Matrix)
4. Direct Kinematics of 2-3 axis Planar Robot and find the location of Tool tip.
5. Direct Kinematic Analysis of 4,5 Axis Robot
6. Inverse Kinematics of robots and prove that there are multiple ways to reach a particular point.
7. Develop Work Envelop for 2,3 axis Robot
8. To study segmentation using edge detection technique
9. Straight line trajectory planning -BDA Algorithm
10. Template Matching
11. Gross motion planning is a part of task planning of robot. Suggest any method of gross motion
planning so that the task can be completed without hitting obstacles
12. Presentation/ Seminar/Case study on Biomedical Application of robotics

Assessment:

Term Work:
Term work shall consist of minimum 4 experiments, 4 assignments and presentation.
The distribution of marks for term work shall be as follows:
Laboratory work (Experiments): 10 Marks
Laboratory work (Journal / Mini project): 05 Marks
Presentations: 05 Marks
Attendance: 05 Marks
The final certification and acceptance of term work ensures the satisfactory performance of
laboratory work and minimum passing in the term work.
Oral examination will be based on suggested pr actical list and entire syllabus.

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University of Mumbai, Biomedical Engineering, Rev 2022 -23

Course
Code Course Name Teaching scheme Credit assigned



BMDL8012 Department
Optional Course
– 5 Lab
Healthcare
Informatics
Laboratory
(Abbreviated as
HCI Lab) Theory Pract. Tut. Theory Pract. Tut. Total



--


02


--


--


01


--


01




Course
Code

Course
Name Examination Scheme
Theory

Term
work

Pract

Oral

Pract
/ Oral

Total Internal
Assessment End
sem
exam Dur
a
tion
(hrs
) Test
1 Test
2 Avg.



BMDL8012 Departmen
t Optional
Course – 5
Lab
Healthcare
Informatics
Laboratory
(HCI Lab)


--


--


--


--


--


25


--


25


--


50



Course Code Course Name Credits
BMDL8012 Healthcare Informatics Laboratory 01
Course
Objectives • To understand the healthcare interoperability semantic and syntactic.
• To understand the standards of healthcare interoperability standards for Medical
Images and Medical Messages.
Course
Outcomes Learners will be able to:
• Fabricate HL7 Messages
• Edit and Compare DICOM file.

Syllabus: Same as that of BMDO8012 Healthcare Informatics (HCI).

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List of Experiments: (Any Seven)
1. To find term/ Concept and ID or Vocabulary codes.
2. Identifying and Chapters of Health Level 7 for trigger Event and message types and message.
3. Structure should be sent to cover each requirement.
4. Reading and editing segment.
5. Create Health Level 7 Message.
6. Create Patient Information Database from Health Level 7 Messages.
7. To Study DICOM Validation Tool (DVTK).
8. Edit DICOM File using hex-Editor.
9. Creating Database of a patient.
10. Comparing DICOM file.

Any other experiment based on syllabus which will help learner to understand topic/concept.

Assessment:
Term Work:
Term work shall consist of minimum 7 experiments.
The distribution of marks for term work shall be as follows:
Laboratory work (Experiments): 10 Marks
Laboratory work (Journal) : 10 Marks
Attendance : 5 Marks
The final certification and acceptance of term work ensures the satisfactory performance of
laboratory work and minimum passing in the term work.
Books Recommended:

Textbooks:
1. Principles of Health Interoperability HL7 and SNOMED (Health Information Technology
Standards) by Tim Benson, Springer Publication.
2. Digital Imaging and Communication in Medicine (DICOM) by Oleg S. Pianykh, Springer
Publication.
3. The CDATM Book, By Keith Boone, Springer Publication.

Reference Books:
1. Informatics in Medical Imaging, George C. Kagadis, Steve G. Langer, CRC Press.

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Course Code Course Name Teaching scheme Credit assigned



BMDL8013 Department
Optional Course
– 5 Lab
Artificial
Intelligence in
Medicine
(Abbreviated as
AIM) Theory Pract. Tut. Theory Pract. Tut. Total



--


02


--


--


1


--


1




Course
Code

Course
Name Examination Scheme
Theory

Term
work

Pract

Oral

Pract.
/ Oral

Total Internal
Assessment
End
sem Dur
a
tion
(hrs
) Test
1 Test
2 Avg.





BMDL8013 Departme
nt
Optional
Course –
5 Lab
Artificial
Intelligenc
e in
Medicine
(AIM
Lab)




--




--




--




--




--




25




--




25




--



50

Course Code Course Name Credits
BMDL8013 Artificial Intelligence in Medicine 01
Course
Objectives • To understand the basic techniques to build intelligent systems
• To apply appropriate search techniques used in problem solving

Course
Outcomes Learner will be able to…
• Identify languages and technologies for Artificial Intelligence
• Understand and implement searching techniques
• Create a knowledge base
• Design and implement expert systems

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Suggested List of Experiments

Sr. No. Title of Experiment
1. Introduce AI programming language
2. Knowledge representation and create knowledge base
3. One case study on AI applications published in IEEE/ACM/Springer or any
prominent journal.
4. Assignments on State space formulation and PEAS representation for various AI
applications
5. Uninformed search methods.
6. Informed search methods.
7. Game playing algorithms.
8. First order Logic
Note: Any other practical/assignments covering the syllabus topics and subtopics can be
conducted.


Assessment:
Term Work:
Term work shall consist of minimum 7 experiments.
The distribution of marks for term work shall be as follows:
Laboratory work (Experiments/assignments): 10 Marks
Laboratory work (Journal) : 10 Marks
Attendance : 05 Marks

The final certification and acceptance of term work ensures the satisfactory performance of
laboratory work and minimum passing in the term work.

Books Recommended:
Text Books:

1 Stuart J. Russell and Peter Norvig, "Artificial Intelligence: A Modern Approach ”,
Fourth Edition" Pearson Education, 2020.
2 Saroj Kaushik, “Artificial Intelligence ”, Cengage Learning, First edition, 2011
3 Itisha Gupta and Garima Nagpal, “Artificial Intelligence and Expert
System ”, Laxmi Publications, 1st Edition 2018

Reference Books:

1 Nils J. Nilsson, Principles of Artificial Intelligence, Narosa Publication.
2 Deepak Khemani, A First Course in Artificial Intelligence, McGraw Hill
Publication
3 Patrick H. Winston, Artificial Intelligence, 3rd edition, Pearson Education.
4 Elaine Rich and Kevin Knight, "Artificial Intelligence ”, Third Edition, McGraw
Hill Education,2017 .


Oral examination will be based on suggested practical list and entire syllabus

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Course
Code Course Name Teaching scheme Credit assigned

BMP801
Major Project
- II Theory Pract. Tut. Theory Pract. Tut. Total
-- 12 -- -- 06 -- 06


Course
Code

Course Name Examination Scheme
Theory
Term
work
Pract.
Oral
Pract.
/ Oral
Total Internal Assessment End
sem Test
1 Test
2 Avg.
BMP
801 Major Project
- II -- -- -- -- 50 -- -- 100 150

Course Code Course Name Credits
BMP801 Major Project -II 06
Course objective • Implement the concept of Project Stage -I
• Use advanced tools for Implementation
• Rectify/ Debug the design and Submit project report.
Course Outcome Learner will be able to
• Debug/ Rectify the design incurred during implementation
• Write Analysis, Results, Design in prescribed format
• Learn the behavioural science by working in a group

Project Guidelines:
1. The students have already under gone project assignment in their seventh semester and in this
semester the students are expected to continue the project work of stage I and should attempt
solution to the problem.
2. Learner is allotted 12 hrs per week for the project work
3. Report should be prepared as per the guidelines issued by the University of Mumbai
4. Learners should be motivated to publish a paper based on the work in Conferences/students
competitions
5. Project Groups: Learners can form groups not more than 4 (Four)


Faculty Load:
1. In semester VIII - 1 (One) periods of 1 hour each per week per project group
2. Each faculty is permitted to take (guide) maximum 4 (Four) project groups.

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Assessment:
Term Work:
The Term Work should be examined by approved internal faculty appointed by the head of the institute
based on following:
• Scope and objective of the project work.
• Extensive Literature survey.
• Progress of the work (Continuous assessment)
• Report in prescribed University format.

Guidelines for Assessment of Project Stage - II
1. Project II should be assessed through a presentation jointly by Internal and External Examiners
approved by the University of Mumbai
2. Project stage II should be assessed based on following points
• Quality of problem selected
• Clarity of Problem definition and Feasibility of problem solution
• Relevance to the specialization / Industrial trends
• Clarity of objective and scope
• Quality of work attempted
• Validation of results
• Compilation of Project Report
• Quality of Written and Oral Presentation

----------------------------------------------------------------------------------------------------------------------------- --------------





Dr. Suresh K. Ukarande
Associate Dean ,
Faculty of Science and Technology