Vide Item No 639 R The revised Syllabus of BE Biomedical Engineering Sem VII VIII CBCS Rev 2019 C Scheme_1 Syllabus Mumbai University

Page 1

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Copy to : -
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(AAMS),
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Vidyanagari,
They are requested to treat this as action taken report on the concerned
resolution adopted by the Academic Council referred to in the above circular
and that on separate Action Taken Report will be sent in this connection.

1. P.A to Hon’ble Vice -Chancellor,
2. P.A Pro -Vice-Chancellor,
3. P.A to Registrar,
4. All Deans of all Faculties,
5. P.A to Finance & Account Officers, (F.& A.O),
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for information.

Page 3

AC – 11 July,
2022ItemNo. –
6.39(R)




UniversityofMumbai






RevisedSyllabusfor

B.E. (BiomedicalEngineering )
Semester – (VII &
VIII)(ChoiceBasedCreditSyste
m)

(Witheffectfromthe academicyear2022 -23)

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Page 5

Preamble
To meet the challenge of ensuring excellence in engineering education, the issue of quality needs to
beaddressed, debated and taken forward in a systematic manner. Accreditation is the principal means
ofquality assurance in higher education. The major emphasis of accreditation process is to measure
theoutcomes of the program that is being accredited. In line with this Faculty of Science and Technology
(inparticular Engineering)of University of Mumbai has taken a lead in incorporating philosophy of
outcomebasededucation in theprocess of curriculum development.
Faculty resolved that course objectives and course outcomes are to be clearly defined for each course,
sothat all faculty members in affiliated institutes un derstand 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 -centric to learner -centric education since the workload
estimat ed isbased on the investment of time in learning and not in teaching. It also focuses on continuous
evaluationwhich will enhance the quality of education. Credit assignment for courses is based on 15
weeks teachinglearning process, however content of cours es is to be taught in 12 -13 weeks and remaining
2-3 weeks tobeutilized forrevision, guestlectures, coverageofcontentbeyond syllabusetc.
There was a concern that the earlier revised curriculum more focused on providing information
andknowledge across variou s 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 minimize the
burden ofcontacthours, totalcredits ofentire programwill be of
170,wherein focusisnotonly onprovidingknowledge butalso on building skills, attitude and self learning. Therefore
in the present curriculum skill based laboratories and miniprojects aremade mandatory across alldisciplines of
engineering insecond and thirdyear of programs, whichwill definitely facilitate self learning of students. The
overall credits and approach of curriculum proposed in
thepresentrevisionisinlinewithAICTEmodelcurriculum.
The present curriculum will be implemented for Second Year of Engineering from the academ ic
year2020 -21. Subsequently this will be carried forward for Third Year and Final Year Engineering in
theacademicyears 2021 -22,2022 -23, respectively.
Dr. S. K.
UkarandeAssociate
Dean
Facultyof ScienceandTechnology

Member,AcademicCouncil,RRCinEngineering

UniversityofMumbai

Page 6

Incorporation and implementation of Online Contents
fromNPTEL/ SwayamPlatform



The curriculum revision is mainly focused on knowledge component, skill based activities and
projectbased activities. Self lea rning opportunities are provided to learners. In the revision process this
time inparticular Revised syllabus of ‗C ‗ scheme wherever possible additional resource links of platforms
suchas NPTEL, Swayam are appropriately provided. In an earlier revision of curriculum in the year 2012
and2016inRevisedscheme‗A'and‗B'respectively,effortsweremadetouseonlinecontentsmoreappropriatelyas
additional learningmaterials to enhancelearningof students.
In the current revision based on the recommendation of AICTE model cu rriculum overall credits
arereduced to 171, to provide opportunity of self learning to learner. Learners are now getting sufficient
timefor selflearning either through online courses or additional projects for enhancing their knowledge
andskill sets.
The P rincipals/ HoD‘s/ Faculties of all the institute are required to motivate and encourage learners to
useadditional online resources available on platforms such as NPTEL/ Swayam. Learners can be advised
totake up online courses, on successful completion they are required to submit certification for the
same.Thiswill definitelyhelp learnersto facilitate theirenhancedlearningbasedon theirinterest.


Dr. S. K.
UkarandeAssociate
Dean
Facultyof ScienceandTechnology

Member, Academic Council, RRC in
Engineering UniversityofMumbai

Page 7

PrefaceByBoS
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 interdisciplinary field with application of
theprinciples ofBasicSciences,Mathematics, Engineeringfundamentalsand Biologyforproblem -solving.

The curriculum is designed to meet the challenges by inclu de new age courses on Machine
Learning,Artificial Intelligence, Data Analytics and other emerging technologies, dismantling the walls
betweenengineering and scientific disciplines. The key to generate a new paradigm shift for careers in
BiomedicalEngineeri ngforthenextgenerationoftalentedmindsliesinimpartinghigh -
qualityeducationinEngineering.

Every courseinthecurriculumliststhecourseobjectivesandcourseoutcomesforthelearnerstounderstand the
skills that the learner will acquire after completing that course. P rogram outcomes are theskills and
knowledge that a student will acquire during the course of four years of this
engineeringprogram.Inlinewiththis,FacultyofTechnologyofUniversityofMumbaihastakenaleadinincorpora
tingthe philosophyof outcomebasededucation inth eprocessofcurriculum development.
AstheChairman,BoardofStudiesinBiomedicalEngineeringoftheUniversityofMumbai,Iamhappyto state
here that, the Program Educational Objectives for undergraduate program were thoughtfullyframed by
faculty members from different affiliated institutes of the university. They are Heads
ofDepartmentsandsenior representativesfrom the Department of Biomedical Engineering.
The Program Educational Objectives for the undergraduate program in Biomedical engineering are
listedbelow;
1. To prepare the learner with a sound foundation in the Human Physiology, Mathematics,
Electronics,ComputerProgramming and engineeringfundamentals.

2. To motivate the learner for self -learning, logical & analytical thinking and use of modern tools
forsolvingre al lifeproblems.

3. To impart technical knowledge, competency skills, professional and ethical attitude, good
leadershipqualities to contributeinthe fieldof healthcare.

4. To prepare the Learner for a successful career in healthcare industry such as sales & mar keting,
research&development,hospitaladministrationandalsotoventureintohighereducationandentrepreneurship.


Boardof StudiesinBiomedical Engineering
Dr.Manali J.Godse
:Chairman
Dr.Prem C.Pandey
:MemberDr
.MitaBhowmick
:MemberDr
.MrunalR.Rane
:MemberDr
.Vaibha viA.Sonetha:Member

Page 8

Program Structure for Fourth Year
EngineeringSemesterVII &VIII
UNIVERSITYOFMUMBAI
(WithEffect from2022 -2023)

SemesterVII


Course
Code
CourseName Teaching
Scheme(Contact
Hours)
Credits Assigned
Theory Pract.
Tut. Theory Pract. Total
BMC701 Biomedical
Instrumentation –III 3 -- 3 -- 3
BMC702 MachineLearning 3 -- 3 3
BMDO701X DepartmentOptional
Course –3 3 -- 3 -- 3
BMDO702X DepartmentOptional
Course –4 3 -- 3 -- 3
BMIO701 InstituteOptionalCourse
– 1 3 -- 3 -- 3
BML701 Biomedical
Instrumentation –IIILab -- 2 -- 1 1
BML702 MachineLearningLab -- 2 -- 1 1
BMDL701X DepartmentOptional
Course –3Lab -- 2 -- 1 1
BMP701 MajorProject -I -- 6# -- 3 3
Total 15 12 15 6 21


Course
Code

CourseName ExaminationScheme
Theory
Term
Work
Prac/
oral

Total InternalAssessment End
SemE
xam Exam.
Duration
(inHrs) Test1 Test
2 Avg
BMC701 Biomedical
Instrumentation –III 20 20 20 80 3 -- -- 100
BMC702 MachineLearning 20 20 20 80 3 -- -- 100
BMDO701X DepartmentOptional
Course –3 20 20 20 80 3 -- -- 100
BMDO702X DepartmentOptional
Course –4 20 20 20 80 3 -- -- 100
BMIO701 InstituteOptionalCourse
– 1 20 20 20 80 3 -- -- 100
BML701 Biomedical
Instrumentation –IIILab -- -- -- -- -- 25 25 50
BML702 MachineLearningLab -- -- -- -- -- 25 25 50
BMDL701X DepartmentOptional
Course –3Lab -- -- -- -- -- 25 25 50
BMP701 MajorProject -I -- -- -- -- -- 50 -- 50
Total -- -- 100 400 -- 125 75 700

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#indicatesworkloadofLearner(Not Faculty),forMajorProject
Sem. VII: Department Optional Course –
3BMDO7011: Biological Modeling and
SimulationBMDO7012:Bioinformatics
BMDO7013:IoTbasedSystems

Sem. VII: Department Optional Course –
4BMDO7021: Rehabilitation
EngineeringBMDO7022:LasersandFibreOpti
cs
BMDO7023:Networkingand InformationSystemsinMedicine

Sem. VII: Institute Level Optional Course –
IILO1011: Product Lifecycle
ManagementILO1012:ReliabilityEngineering
ILO1013: Management Information
SystemILO1014: Design ofExperiments
ILO1015: Operation
ResearchILO1016:CyberSecuri tyandLa
ws
ILO1017: Disaster Management and Mitigation
MeasuresILO1018: EnergyAuditand Management
ILO1019:DevelopmentEngineering

Page 10

SemesterVIII


Course
Code
CourseName Teaching
Scheme(Contact
Hours)
Credits Assigned
Theory Pract./Tut. Theory Pract. Total
BMC801 HospitalManagement 3 -- 3 -- 3
BMDO801X DepartmentOptionalCourse –5 3 -- 3 -- 3
BMDO802X DepartmentOptionalCourse –6 3 -- 3 -- 3
BMIO801 InstituteOptional Course -2 3 -- 3 -- 3
BML801 HospitalManagement Lab -- 2 -- 1 1
BMDL801X DepartmentOptional Course –5
Lab -- 2 -- 1 1
BMP801 MajorProject -II -- 12# -- 6 6
Total 12 16 12 8 20


Course
Code

CourseName ExaminationScheme
Theory
Term
Work
Prac
/oral

Total InternalAssessment End
SemE
xam Exam.
Duration
(inHrs) Test
1 Test
2 Avg
BMC801 HospitalManagement 20 20 20 80 3 -- -- 100
BMDO801X DepartmentOptionalCourse –5 20 20 20 80 3 -- -- 100
BMDO802X DepartmentOptionalCourse –6 20 20 20 80 3 -- -- 100
BMIO801 InstituteOptional Course -2 20 20 20 80 3 -- -- 100
BML801 HospitalManagement Lab -- -- -- -- -- 25 25 50
BMDL801X DepartmentOptionalCourse –5
Lab -- -- -- -- -- 25 25 50
BMP801 MajorProject -II -- -- -- -- -- 100 50 150
Total -- -- 80 320 -- 150 100 650
#indicatesworkloadofLearner(Not Faculty),for MajorProject
Sem. VIII: Department Optional Course –
5BMDO8011: Robotics in
MedicineBMDO8012: Healthcare
InformaticsBMDO8013:ArtificialIntelligencein
Medicine

Sem. VIII: Department Optional Course –
6BMDO8021:Biomedical
MicrosystemsBMDO8022: Medical Device
RegulationsBMDO8023:Ergonomics

Page 11

Sem.VIII:InstitutelevelOptional Course -II
ILO2021: Project
ManagementILO2022:FinanceMa
nagement
ILO2023: Entrepreneurship Development and
ManagementILO2024: Human ResourceManagement
ILO2025: Professional E thics and Corporate Social Responsibility
(CSR)ILO2026: Research Methodology
ILO2027: IPRandPatenting
ILO2028: Digital Business
ManagementILO2029:Environmental
Management




Studentsgroupand load of facultyper week.
MiniProject1and2:
Students can form groups with minimum 2 (Two) and not more than 4
(Four) FacultyLoad : 1 hour perweek perfourgroups


MajorProject1 and2:
Students can form groups with minimum 2 (Two) and not more than 4
(Four) FacultyLoad : In SemesterVII –½hour perweek perproject group
InSeme sterVIII – 1hourperweek perprojectgroup

Page 12

Course
Code CourseName Teachingscheme Creditassigned


BMC701 BiomedicalInstru
mentation --III
(Abbreviatedas
BMI -III) Theory Pract. Tut. Theory Pract. Tut. Total

03
--
--
03
--
--
03



Course Cod
e
Course
Name ExaminationScheme
Theory
Term
work
Pract.
Oral
Pract.
/Oral
Total InternalAssessment End
sem Dura
tion(
hrs) Test1 Test2 Avg.

BMC701 Biomedical I
nstrumenta t
ion- -III
(BMI -III)
20
20
20
80
03
--
--
--
--
100


CourseCode CourseName Credits
BMC701 BiomedicalInstrumentation --III 03

Course
Objectives  Tounderstandthebasicprinciplesandworkingof life SavingEquipment.
 TodevelopskillsenablingBiomedicalEngineerstoservethehealthcareindustry
 To develop core competency and skill in the field of Biomedical Engineering, to design
anddevelopnew healthcare systems.



Course
Outcomes Learnerwillbe ableto…
 Distinguishbetweenthe typesofpacemakersonthebasisofICHDcodeandanalyzethevariousc
ircuits.
 Applytheknowledgeofelectronicstoanalyzedefibrillatorcircuits.
 ExplaintheimportanceofuseofAnesthesiamachineandCapnographduringSurgery.
 Explainthebasicprinciple,workingandapplicationsofsurgic alequipmentwithsafetyaspects.
 Explain the importance of measurement of oxygen saturation in human body and application
ofheart lungmachine duringsurgery. Semester –VII

Page 13

Module Contents Hours

1 CardiacPacemakers
Need for a pacemaker, modes of operation, classification codes for pacemaker, external
andimplantable pacemaker, programmable pacemaker, Power sourcesfor pacemakers, leads
andelectrodes,recentdevelopments ofImplantable Pacemakers.
09

2 CardiacDefibrillator
Need for defibrillator, D C defibrillator, modes of operation and electrodes,
performanceaspectsof dc -defibrillator,implantable defibrillator,cardioverter.
08

3 Physiotherapyequipments
Basicprinciple,workingandtechnicalspecificationsof1.S
hortwaveDiathermy
2. Ultrasonictherapyunit
3. NerveandMuscleStimulator.
06

4 Surgical equipment
OperationtheatreLightsandTable.
SurgicalDiathermymachine,automatedelectrosurgicalsystems,electrodesusedwithsurgicaldiathe
rmy,safetyaspectsinelectronic surgicalunits.
08
5 HeartLungmachine
HeartLung Machineandtypes ofoxygenators 04

6 Oximeters
Basics of oximeter, In -vitro and In -vivo oximetry, ear oximetry, pulse oximetry,
skinreflectanceoximeters, intravascular oximeters,
04


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

BooksRecommended:
Textbooks:
1. Handbookof Biomedical Instrumentation(Thirdedition):RS.Khandpur.(PHPub)
2. Medical Instrumentation,ApplicationandDesign:JG.Webster.(JohnWiley)
3.Biomedical Instrumentation and measurements: Leslie Cromwell, Fred J. Weibell, Enrich
A.Pfeiffer. (PHIPub)

Referencebooks:
1. IntroductiontoBiomedicalEquipmentTechnology: Carr –Brown.
2. EncyclopediaofM edicalDevicesandInstrumentation:J G.Webster.Vol I -IV
3. Various InstrumentManuals.
4. Variousinternetwebsites.

TheoryExamination :
1. Questionpaperwill compriseoftotal06questions, eachcarrying20marks.
2. Total04 questions needto be solved.
3. Question No: 01 will be comp ulsory and based on entire syllabus wherein sub -questions
ofmarkswill be asked.
4. Remainingquestionswillberandomlyselected from allthemodules.

Page 14

Course
Code CourseName Teachingscheme Creditassigned

BMC702
Machine
Learning(Abbreviat
edasML) Theory Pract. Tut. Theory Pract. Tut. Total
03 -- -- 03 -- -- 04





Course Cod
e

Course
Name ExaminationScheme
Theory
Term
work

Pract

Oral Pract
.
/Ora
l

Total InternalAssessment End
sem Dura ti
on(hrs
) Test
1 Test
2 Avg.

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

Course
Code CourseName Credits
BMC702 MachineLearning 03

Course Ob
jectives  Tobuildastrongbaseinartificialintelligencethroughalgorithm development.
 Todevelopcompetencyinlogicalthinking,computer programmingandknowledgeapplic
ation.
To train and motivate for higher education and research in order to make contribution
tostateof theart health careforall

Page 15

UniversityofMumbai,BiomedicalEngineering,Rev2022 -23
Learningmethods: Introduction,typesof learning,supervisedlearning,
unsuLearnerwillbeableto…callearning,reinforcementlearning,elementsof
reinforceUmnednetrsletaanrndinthge,mfuonddeal-mbeansetadllteeacrhnniniqgu,etesmapnodraalpdpilficfearteionncseilneanrneiunrga,llnineetwaro pervisedlearning, statisti
regressiolnea,rlneainsgtsaqnudarmesa,clhiinneearleraergnriensgsionfor po lynomi alregressiontasks, logistic
regressioUnn,dmeorsdtealnsdelseucptieornviasneddvaanliddautinosnu,pervised learnin g, backpropogation and
Clust eridnegs:ceInnttraolgdourcittihomn,smixture d ensities, k-meansclustering, expectation-
maximizUatniodnersatlagnodrithamnd,suimpeprlveimseedntleaerfnfiincgienafttercocmlupsutetaritniogn,aslpetcetcrahlnicqlustseriunsgi,ng neural
hierarchinceatlwcolurkstse,rdinegep,clheoaronsiinnggathnednmuamcbheinreolfecalrunsitnegrs.
DeciDsioesnigTnraeneds:imInptrloedmuecntitoatni,onunoifvanreiuartealtrneeetsw,orruklemeoxdtrealcstwiointhfrdoemeptrleeasrn,ilnegarannindgmachine
ruleslefraornmindgatwa,ilml bueltsivtraorniagtebatrseeesfo,rcldussitgenring,aorvtiefricfiitatliningtaenlldigeevnatlsuyasttieomns 06
07 Introduction ofartificialneural networks: structureand functionof a
biologicalneurons,artificialneuronmodels,conceptsofneuralnetwork,singlelayerand 4

06 design,
learning
classifier randomization, replication, and blocking, guidelines for
machineexperiments, cross -validation and resampling methods,
measuringperformance Designandanalysisofmachine learning
experiments: Introduction,factors,response, and strategy of
experimentation, response surface

3 Outcomes
2
rks,0d6eep
gradient
1

Course Hours13 Contents Module

Page 16

14
UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

multilayerpreceptor,structureofanANN,feed -
forwardneuralnetwork,gradientdescent,back propagation,architectures ofneural
networks,optimisation o fneural
networkmodel


5 Architecture andtrainingthe ANN: Type oflearning theneuralnetwork,training of
a single -layer neural network, delta rule, designing ANN models,
radialbasisfunction,overviewoflearningrulesandparameters,activationfunctions,
multilayer feed forward network,backpropagation networks,architecture,
radialbasisfunction network

07


6 Fundamentals of deep networks: Deep Learning,architectural principles ofdeep
networks,parameters, layers, loss function ,optimization algorithms,
hyperparameters, building blocks of deep networks, architectures of deep
networks,convolutional neural networks,architecture ofconvolutional neural
networks,inputlayers,convolutionallayers,poolinglayers,fullyconnectedlayers,recur
rent
neuralnetworks,archite ctureofrecurrentneuralnetwork

07

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


Books Recommended:
Text books
1. IntroductiontoMachine Learning,3rd
edition,EthemAlpaydin,PHILearningPrivateLimited,NewDelhi, 2015
2. DeepLearningbyJoshPattersonandAdamGibson,O‘ReillyMedia,Inc.,GravensteinHighw
ayNorth, Sebastopol CA,2017
3. Neural Networks and Learning M achines Third Edition, Simon Haykin, Pearson,
PrenticeHall,2009

Referencebooks
1. Machinelearningin Action,PeterHarrington,dreamtech Press,NewDelhi, 2012
2. Machinelearning,TomM,Mitchell,McGrawHillEducation(India)Private
LimitedNewDelhi,2013






UsefulLinks:
1. Course1: IntroductiontoMachine Learning
https://nptel.ac.in/courses/1061061392 .
2. Course 2 : Introduction to Machine
Learning https://onlinecourses.nptel.ac.in/noc22_cs2
9/preview

TheoryExamination :
1. Questionpaperwill compriseoftotal06questions, eachcarrying20marks.
2. Total04 questions needto be solved.

Page 17

15
UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

3. Question No: 01 will be compulsory and based on entire syllabus wherein sub -questions
ofmarkswill be asked.
4. Remainingquestionswillberandomlyselected from allthemodules.








































Course
Code

Course Name TeachingScheme Credits Assigned
Theory Pract. Tut The
ory Pract. Tut Total


BMDO7011 BiologicalMode
ling
andSimulation(
Abbreviatedas
BMS)

3

--

-

3

--

-

3




Course
Code


CourseName Examinationscheme
Theory Marks
Ter
mw
o


Pract.


Oral


Total InternalAssessment EndS
emex
am Test Test Avg.

Page 18

16
UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

1 2 rk

BMDO7011 Biological
Modeling
andSimulatio
n
20
20
20
80
-
-
-
100


Course Code
CourseName
Credits
BMC702 BiologicalModeling andSimulation 03

Course
Objectives  Tounderstandbasic conceptsofmodelingfordesigningbiological model.
 Tosimulatephysiologicalprocessesforbetterunderstanding.
 Todevelopcompetencyintermsoflogicalthinking,
programmingandapplicationskills
 Totrainandmotivate studentsforpursuinghighereducationandresearchfor
developingcuttingedgetechnologies.


Course
Outcomes Alearnerwillbeable to:
 Categorisedifferenttypesof biologicalmodels.
 Developa model ofaneuronusingHodgkin Huxleyexp setup.
 Differentiateaspindlereceptorand Golgitendonbodies.
 Designaquantitative modelforeyemovementsystem.
 Understandabasic modelof athermoregulatorysystem.
 Understandthebehaviourofimmunesystem











Module Contents Time
1 Physiologicalmodeling :
Stepsinmodeling,purposeofmodeling,lumped parametermodels,distributedparameter
models,compartmental modeling, modelingofcirculatorysystem. 04


2 Modelof 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
equivalentmodelofabiologicalmembrane,impulsepropagation -
coreconductormodel,cable
equations.

11
3 Neuromuscularsystem:
Modelingofskeletalmuscle,monoand polysynapticreflexes,stretchreflex,reciprocalinner
vations,twocontrolmechanism,Golgitendon,experimental 06

Page 19

17
UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

validation,Parkinson‘ssyndrome.
4 Eyemovement model:
Foureye movements,quantitativeeye movement models,validitycriteria. 06
5 Thermo -regulatory systems:
Thermoregulatory
mechanisms,electricalmodelofthermoregulatorysystem,cont
rollermodel, validation and application. 06

6 Modelingofotherphysiologicalsystems.M
odelingthe immuneresponse:
Behavioroftheimmune system,linearizedmodelof theimmuneresponse.
ModelingofinsulinglucosefeedbacksystemandPulsatile insulinsecretion
06

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

BooksRecommended:
Textbooks:
1. Bioengineering,Biomedical,Medical andClinicalEngg.:A.TeriBahil.
2. SignalsandsystemsinBiomedicalEngg.:SureshRDevasahayam.
3. Bio-ElectricityAquantitative approachbyBarr andPloncey

ReferenceBooks:
1.BiomedicalEngineeringHandbookbyBronzino(CRC Press)

TheoryExamination :
1. Questionpaperwill compriseoftotal06questions, eachcarrying20marks.
2. Total04 questions needto be solved.
3. Question No: 01 will be compulsory and based on entire syllabus wherein sub -
questionswillbeasked.
4. Remainingquestionswillberandomlyselected from allthemodules.


Course
Code CourseName Teachingscheme Creditassigned


BMDO7012 DepartmentO
ptional Course –
3Bioinformatic
s
(AbbreviatedasBI
) Theory Pract. Tut. Theory Pract. Tut. Total


03

--

--

03

--

--

03


Course Course ExaminationScheme
Code Name Theory Term Pract. Oral Pract./ Total

Page 20

18
UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

InternalAssessment End
sem Dura
tion(
hrs) work Oral
Test1 Test2 Avg.



BMDO7012 Departm
entOptio
nalCours
e–
3Bioinfor
matics
(BI)


20


20


20


80


03


--


--


--


--


100


CourseCode CourseName Credits
BMDO7012 Bioinformatics 03

CourseObjectives  ThecourseintroducesthestudentstothefieldofBioinformatics.
 To make students aware about the methods to characterize and manage the different
typesofbiologicaldata.
 Tointroducestudentstothebasicsofsequencealignment andanalysis.



Course
Outcomes Learnerwillbe ableto
 GetintroducedtothebasicconceptsofBioinformaticsanditssignificance inBiologicaldataanal
ysis.
 Applyknowledgeof basic principlesofmathematics and statistics.
 Applyexistingsoftwareeffectivelytoextractinformationfromlargedatabasesandto
usethis information in computer modelling
 Applyproblem -solvingskillsto multivariate methods in bioinformatics
 Searchandapplybioinformaticstoolstoanalyseandinterpretbiological data











Module Contents Hours


1 Introductiontobioinformaticsandbiologicaldatabases:
Basicprinciplesofgenetics ,cells,DNAandchromosome,genesandthegenome,DNA se
quencing, proteomics, discoveryofgenesequence.
Humangenomeproject,biologicaldatabasesandtheirclassification,genomesequenceda
tabases, protein structuredatabases,compositedatabases.

08

2 Statisticalmethodsusedinbioinformatics:
Basic statistical modelling and Bayesian inference, gene expression and
microarrayanalysis, sequence alignment, sequence pattern discovery, combining
sequence andexpressioninformation.
10

Page 21

19
UniversityofMumbai,BiomedicalEngineering,Rev2022 -23



3 Algorithmsinbioinformatics:
Introduction, dynamic programming and sequence alignment, Needleman –
Wunschalgorithm ,GreedyalgorithmsforGenomerearrangement,stringalgorithm,brea
kpointgraph,approximationalgorithm,FASTAandBLASTalgorithms..
08

4 MultivariateMethodsinBioinformatics:
Multivariatenormaldistribution, multivariatehypothesistests,principlecomponentana
lysis,orthogonalfactormodel,lineardiscriminantanalysis,classificationmethods,
Naïve Bayes classification.
06

5 Applicationsand toolsofbioinformatics:
Sequencealignmentanddotplot,DNAsequenceanalysis, proteinsequenceanalysis, data
basesimilarity search,phylogenicanalysisandtreeconstruction,gene,protein and
tissuemicroarray.
07



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

RecommendedOnlineCourses(optional):
1. ―Bioinformatics and Computational Biology‖ offered by IIT Kanpur
https://piazza.com/iitk.ac.in/secondsemester2018/bse322a/
2. ―NetworkAnalysisinSystemsBiology‖offeredbyIcahnSchoolofMedicineatMountSinai,inNew
York City https://www.coursera.org/learn/network -biology
3. ―Bioinformatics: Introduction and Methods‖ from Peking University.
https://www.coursera.org/learn/bioinformatics -pku
4. ―BiologyMeetsProgramming: BioinformaticsforBeginners‖,offeredbyUCSanDiego
https://www.coursera.org/learn/bioinformatics










BooksRecommended:
Textbooks:
1. Basicsof Bioinformatics, RuiJiang,XuegongZhang,MichaelQ. Zhang,Springer,E -book.
2. IntroductiontoBioinformatics,ArthurM. Lesk,OxfordUniversityPress, 2002,FirstEdition.

ReferenceBooks:
1.EssentialBioinformatics, JinXiong,CambridgeUniversityPress, 2006,FirstEdition.

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20
UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

TheoryExamination :
1. Questionpape rwill compriseoftotal06questions, eachcarrying20marks.
2. Total04 questions needto be solved.
3. Question No: 01 will be compulsory and based on entire syllabus wherein sub -
questionswillbeasked.
4. Remainingquestionswillberandomlyselected from allthemodules.












































Course
Code CourseName
Teachingscheme
Creditassigned

BMDO7013 IoTBasedSystems(
Abbreviated
asIoT) Theory Pract. Tut. Theory Pract. Tut. Total
03 -- -- 03 -- -- 03

Page 23

21
UniversityofMumbai,BiomedicalEngineering,Rev2022 -23


Course Cod
e
Course
Name ExaminationScheme
Theory
Term
work
Pract.
Oral
Pract.
/Oral
Total InternalAssessment End
sem Dura
tion(
hrs) Test1 Test2 Avg.

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



CourseCode
CourseName
Credits
BMDO7013 IOTBasedSystems 03


Course
Objectives  Learntheconceptsof IOT
 Identifydifferenttechnologiesandschemes
 Learndifferentapplicationsin IOT
 Learndifferentprotocolsusedin IOT
 Learnhowtoanalyzethe datain IOT


Course
Outcomes Learnerwillbeableto
 Applythe conceptsofIOT
 Identifyandselectdifferenttechnologiesandschemefor IOTapplications
 ApplyIOTtodifferentapplications
 Analyzeandevaluateprotocolsusedin IOTsystems
 Analyzedataflowin IOTsystems



















Module Contents Hours

1 Introduction:
History of IoT, Objects in IoT, Identifier in the IoT, Technologies in
IoT.Whatarewirelesssensors,Sensorfamily, Architectureofsinglenodesensor.
04

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22
UniversityofMumbai,BiomedicalEngineering,Rev2022 -23


2 IoTschemesandmodels:
Blockdiagram ofanIoTdevice(node),characteristicsofIoT, functional blocks
ofIoT,communication models. IoT levels and deployment
templates. IoT enabling
technologies.
08

3 IoTstack:
M2M stack and examples, IoT stack and examples, IoT stack variants,
differencebetweenIoT and M2M.
IoTAccessTechnologies:
PhysicalandMAClayers,IEEE802.15.4,802.15.4g,802.15.4e,1901.2a, 802.11
andLoRaWAN.
08

4 NetworkandCommunicationAspects:
Network Layer Protocols: IPv4 and IPv6, Constrained nodes and Constrained
networksOptimizing IP for IoT: From 6LoWPAN to 6Lo, routing over low power and
lossynetworks.
Application LayerProtocols: CoAPandMQTT.
05

5 ComponentsofIoT:
IoTplatformdesignmethodology.
IoTenddevicecomputing –
boardsbasedonmicrocontrollerandSoC.Sensortechnologies,sensordatacommu
nication protocols:UART,SPI,I2C.
06

6 IoTCaseStudies:
Homeautomation,smartcities,environmentmonitoringandcontrol,agriculture,retailsector,
healthcareandlifestyle, logisticsandsupplychain,accesscontrolandtracking.
08



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

RecommendedOnlineCourses(optional):
1) IntroductionToInternet OfThings
By Prof. Sudip Misra|IIT
Kharagpur https://onlinecourses.nptel.ac.in/noc22_cs
52/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/p
review









BooksRecommended:
Textbooks:

Page 25

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

1) Internet of Things: A Hands -On Approach, Arshdeep Bahga, Vijay Madisetti,
universitiespress.
2) IOTfundamentals,David, Gonzalo,Patrick,Ciscopress.
3) DataandComputercommunications,williamstallings,PearsonEducation.
4) Data communication and networking, Behrouz A. Forouzan, McGraw Hill
EducationCommunicationNetworks,Alberto LeonGarcia,McGraw HillEducation.

ReferenceBooks:
1) Comput erNetworks,S.Tanenbaum,PearsonEducation.
2) Computer Networking: A Top -Down Approach, J. F. Kurose and K. W. Ross,
AddisonWesley.

TheoryExamination :
1. Questionpaperwill compriseoftotal06questions, eachcarrying20marks.
2. Total04 questions needto be solved.
3. Question No: 01 will be compulsory and based on entire syllabus wherein sub -
questionswillbeasked.
4. Remainingquestionswillberandomlyselected from allthemodules.
































Course
Code Course
Name Teachingscheme Creditassigned
Department Level Theory Pract. Tut. Theory Pract. Tut. Total

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23


BMDO7021 Optional Course –
4
RehabilitationE
ngineering(Abb
reviatedas
03
03
--
--
03
RE)





Course Cod
e


Course
Name ExaminationScheme
Theory
Term
work
Pract.
Oral Pract.
/Oral
Total InternalAssessment End
sem Dur
atio
n(hr
s) Test
1 Test
2 Av
g.




BMDO70
21 Department
LevelOption
alCourse -
IVRehabilita
tionEngineer
ing(Abbrevia
tedas RE)


20


20


20


80


03


--


--


-
-


-
-


100


Course
Code CourseName Credits
BMDO7021 RehabilitationEngineering 03

Course
Objectives  ToIntroducethesocio -legalaspectsofRehabilitationEngineering
 TounderstandtheimportanceofOrthotics,andProsthesis
 Tointroducelearnerstobasicsof KineticsandKinematics.
 Tounderstandtheflowproperties ofblood.
 Tounderstandvariousupperandlowerlimbdeformities.
 Tounderstandtherehabilitationmanagementofvariousdeformities


Course
Outcomes Alearnerwillbeableto

 UnderstandthebasicdifferencebetweenImpairment, DisabilityandHandicap
 UnderstandthereasonsforAmputation,needofOrthosis,Prosthesis.
 Understandthehumanjoint‘sstability.
 Understandtheflowpatternofbloodinnormalandabnormal conditions.
 Understandmanagementofsimpletocomplexdeformities
 Understandtherehabilitationmanagementduringpara lyticconditionsofthelimb


Module Contents Hours

Page 27

25
UniversityofMumbai,BiomedicalEngineering,Rev2022 -23


1 Introductionandsocio -legalaspectsofrehabilitationengineering:
Medicalrehabilitation,epidemiologyofrehabilitation,preventiverehabilitation,impairme
ntdisabilityandhandicap.
03




2 Orthotics,amputation,andprosthetics,activitiesofdailyliving(ADL): Orthotics:
General principles of orthotics, biomechanics of orthotics,
classification:upper&lowerextremityorthotics,spinal orthotics
Amputation&prosthetics:Causesofamputation,typesof amputation,andlevelsofamput
ationforupperandlowerextremity,preoperativeandpost -operativeperiod. pre -
prosthetic stage, endo & exo -skeletal prosthetics, classification of upper&lower
limb prosthetics
Activitiesofdailyliving:ADLgrouping,Barthel‘sindexofADL,fun ctionalindependence,
measures,environmentalcontrolsystem,communication,ADL
training.



10



3 MechanicalprinciplesofKinematicsandKinetics:
Planar classification of position and motion, rotary and translatory motion,
degreeoffreedom,kinematicchain theoriesofmotion,levers,torque,parallelforce,resolu
tionof force, calculation of muscleand joint forces
Clinical application on weight and center of gravity ,applied weights and
resistance,muscle force and leverage, joint forces, clinical application on stretching
versusjointmobilization.


06

4 Flowpropertiesofblood: Anoutlineofbloodrheology,constitutiveequationofbloodbas
edviscometricdataandCasson‘sequation,laminarflowofbloodinatube, fluid
mechanical interaction of RBCs with a solid wall, thrombus
formationanddissolution, medical application ofbloodrheology.
06

5 Commondeformitiesandroleofsurgeryinrehabilitationengineering. Typesofdefor
mities,managementof1stand2nddegreedeformities,commondeformitiesof lower limb,
treatment for partial foot deformities, deformities of the foot,
armDeformities,torticollis
06


6 Anoverviewofrehabilitationofmusculardystrophy,paraplegia,andquadriplegia:
Muscular dystrophy, Duchenne muscular dystrophy,
rehabilitation,facioscapulohumeral musculardystrophy
Paraplegia:Etiology,mechanismofinjury,identificationofleveloflesion,managemento
factivespinalcord injury,rehabilitation,gait training
Quadriplegia:Mobility, training,levelofinjury&outcome,management.

08













Assessment:
InternalAssessmentconsists of twotests outof which;one shouldbe compulsoryclass

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26
UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

test (on minimum 02 Modules) and the other is either a class test or assignment on
liveproblemsor courseproject.
BooksRecommended:
Textbooks:
1. BRUNNSTROM'SCLINICALKINESIOLOG,
ByLauraK Smith,ElizabethLauranceWeiss; Jaypeebrothers Publication
2. Mechanicalproperties of livingtissues byY. C.Fung

ReferenceBooks:
1.TextbookofRehabilitationbyS.Sundar,3rdeditionJaypeepublication


TheoryExamination:
1. Questionpaperwill compriseof total06questions, eachcarrying20marks.
2. Total04 questionsneed tobe solved.
3. Question No: 01 will be compulsory and based on entire syllabus wherein sub -
questionsof marks will be asked.
4. Remainingquestions will berandomlyselected fromall themodules.

Page 29

27
UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

Course
Code CourseName Teachingscheme Creditassigned

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

03
--
--
03
--
--
03


Course
Code
Course
Name ExaminationScheme
Theory
Term
work
Prac
t
Oral
Pract.
/Oral
Total InternalAssessment End
sem Dura
tion(
hrs) Test1 Test2 Avg.

BMDO7022 Lasers
&FiberO
ptics

20

20

20

80

03

--

--

--

--

100


CourseCode CourseName Credits
BMDO7022 Lasers& FibreOptics 03



CourseObjectives  To help the students to build up a detailed knowledge of the
methods,fabrication,andapplicationsoflasers&fiberopticsinmedicalengineer
ing.
 To create a platform for students to have deeper understanding on
thefundamentalprinciplesoflasersandOpticalfibersinbio -photonicsy stems.





CourseOutcomes Learnerwillbeableto:

 Understandtypesof opticalsourceandits emissionproperties.
 Analyzethevarioustypesoflasersandtheirmedical applications
 Familiarizethefundamentalsofopticalfibers.
 Understandtheinteractionoflaserwithtissuealong withitsapplications
 Understandandimplementtheuseoflasersandopticalfibersforsurgeryandsensi
ng.

Page 30

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

Module Contents Hours


1. Introductiontoopticalradiation,emission&resonator:
Spontaneous and stimulated emission, Einstein's coefficients, gain
coefficient,laser oscillation conditions, population inversion, three and four level
systems,rateequations,opticalresonatorsandtypes,modesandmodestabilitycriteria,
lossesinopticalresonators -qualityfactor.

06



2. Typesof Lasers:
Working principle of Ruby laser, dye laser, argon ion laser, solid state lasers -
fundamentaland higherharmonicgeneration.
Detailed study of semiconductor lasers, Nd: YAG laser - flash lamp pumped
anddiode pumped lasers, He -Ne laser, CO2 laser, excimer laser, nitrogen laser,
freeelectron laser, Ti:Saphire laser, rareearth doped and
photoniccrystalfiberbasedlasers, soliton lasers.
Chemicallasers,metalvaporslasers,medicalapplicationsofLasers.


07


3. Fundamentalsoffiberoptics:
Classificationoffibers -
stepindex,gradedindex fiber,numericalaperture,modesinopticalfiber,singlemodea
ndmultimodefiber,V -parameter,evanescent modes, losses in fiber, dispersion in
fiber, special fiber -polarizationmaintainingfiber,non -lineareffectsinoptical fiber,
fiberfabricationtechniques,
splicing.

07


4. Photobiology&bioimaging:
Interactionoflightwithcellsandtissues,photo -
processesinbiopolymers,humaneyeandvision,opticalfiberdeliverysystem,Optical
coherencetomography,Applicationsofbio -imaging:bio -
imagingprobesandfluorophores,
Endoscopy.

06



5. Opticalsensors:
MM and SM fibers for sensing, Lasers & LEDs suitable for sensing, PIN
&APDsforfiber optic sensing.
Principlesofelectroopticmodulatorsbulk&integratedopticmodulators,opticalsenso
rtypes,advantagesanddisadvantagesoffiberopticsensors,intensitym odulatedsensor
s,interferometricsensors,rotationsensors,bio
sensors.


07


6. Laserandfiberactivatedtherapy:
Photodynamictherapy,photo -
sensitizersforphotodynamictherapy,tissueengineeringusinglight,Lasersysteminca
rdiovasculardisease,gastroenterology, gynecology,neurosurgery,oncology,ophtha
lmology,
orthopedics,otolaryngology(ENT), urology,lasersandfibersinskintreatment.

06






InternalAssessment:
Internal Assessment consists of two tests out of which; one should be compulsory class test
(onminimum 02Modules)and theotheriseither aclasstest orassignmentonlive
problemsorcourseproject.

Page 31

29
UniversityofMumbai,BiomedicalEngineering,Rev2022 -23





BooksRecommended:
Textbooks:

 TuVoDinh,BiomedicalPhotonics:AHandbook -CRCPress,BocaRaton, FL2003
 VNPrasad, IntroductiontoBiophotonics,Wiley -Interscience,2003
 OrazioSvelto,PrinciplesofLasers,4thEdn,PlenumPress,1998
 DakinJ andCulshowB.,(Ed),Opticalfibersensors,Vol I,II,III, ArtechHouse,1998
 FrancisT.S Yu,ShizhuoYin(Eds),FiberOpticSensors,MarcelDekker Inc.,NewYork,2002
 Silfvast.W T.,Las er Fundamentals,CambridgeUniversityPress,NewDelhi,1998

ReferenceBooks:

 LihongVandHsin -IWU,BiomedicalOptics -Principles,andImaging -WileyInterscience1sted.
2007
 MarkE.Brezinski,OpticalCoherenceTomography -PrinciplesandApplications -
(AcademisPress1st ed. 2006)
 RodneyCotterill,Biophysics –An Introduction(JohnWileyStudentedition)
 Valery.V.Tuchin,AHandbookofOpticalBiomedicaldiagnostics,SPIEpressmonographvolpm 107
 BahaaE. ASaleh&Malvin Carl Teich, Fundamentalsof Photonics, JohnWiley&Sons, 1991
 JeffHecht,TheLaserGuideBook,McGrawHill,1986
 Koechner(Walter),SolidStateLaserEngineering,Springer,1992
 MarvinJ.Weber,HandbookofLasers,CRCPress,2001
 YarivA,OpticalElectronics,4thEdn,Holt,RinehartandWinston,1991


TheoryExamination :
1. Questionpaperwill compriseoftotal06questions, eachcarrying20marks.
2. Total04 questions needto be solved.
3. Question No: 01 will be compulsory and based on entire syllabus wherein sub -
questionswillbeasked.
4. Remainingquestionswillberandomlyselected from allthemodules

Page 32

30
UniversityofMumbai,BiomedicalEngineering,Rev2022 -23





Course
Code CourseName Teachingscheme Creditassigned




BMDO7023 DepartmentOp
tional Course –
4Networking
andInformation
Systems
inMedicine
(Abbreviated
asNISM) Theory Pract. Tut. Theory Pract Tut Total



03


--


--


03


--


--


03



Course
Code

CourseName ExaminationScheme
Theory
Term
work
Pract
Oral
Pract
/ Oral
Total InternalAssessment End
sem Dura
tion(
hrs) Test
1 Test
2 Avg.




BMDO7023 Department
Optional Co
urse–
4Networkin
gandInform
ation System
s inMedicine
(NISM)



20



20



20



80



03



--



--



--



--



100



CourseCode CourseName Credits
BMDO7023 NetworkingandInformationSystemsinMedicine 03


Course
Objectives  Tounderstandthefundamentalcomponentofcomputer Networking.
 Tounderstandthefunctioningandconfiguration
ofvariousnetworkingdevicesandcomponents.
 Tounderstanda concept aboutnetworksecurity.
 UnderstandvariousInformationsystemusedinHealthcareSystem
 TounderstandthehealthcareITinfrastructureUnderstandvarious IHEdomains

Page 33

31
UniversityofMumbai,BiomedicalEngineering,Rev2022 -23




Course
Outcomes Learnerswillbeableto:
 Understandthefundamentalcomponentsofcomputernetworks
andnetworkingprotocols.
 Understand IP addressing, functioning and configuration of various
networkingdevicesandcomponents
 Understand conceptsabout networksecurity
 UnderstandthePACS components,architectureandPACS teleradiology
 UnderstandHIS,RIS,integrationofHIS/RIS/PACS,PACSarchivestorage
 UnderstandIHEand IHEdomains



Module Contents Hours
1. PACSComponents;PACSgenericworkflow;PACS architectures:stand -alone,
client -server,andweb -based;PACSandteleradiology 06
2. IntroductiontoRISand HIS,HIS/RIS/PACSintegration;PACSarchivestorage:
RAID;HIPPA 06
3. IntegratingHealthcareEnterprise: IHEworkflowmodel, IHEdomains,IHEpatient
information reconciliationprofile,IHE radiologyinformationintegrationprofile 06
4. Performance of network/device parameters: bandwidth, throughput, jitter,
latencynetworktechnology;typesofcablesandconnectors,crossoverandstraightthroughc
ables,colourcodingofcables;OSI Model;TCP/IP,Addressingtypes(IP,MAC,Port&Speci
fic)
08
5. IPV4addressing,subnetting,supernetting;IPV6addressing;Detailedworkingof
networkingequipment:Hub,bridge,switch,router, modem 07
6. BasicSecurityConcepts:
SecurityMechanismandsecurityservices, authentication,authorization,confidentiality,in
tegrity,non -repudiation;Symmetricandasymmetrickeycryptography,RSA algorithm 06

Assessment:
Internal Assessment consists of two tests out of which; one should be compulsory class test
(onminimum02Modules)and theotheriseither aclasstest orassignmentonlive
problemsorcourseproject.
BooksRecommended:

Textbooks:
1. PACSand Imaging InformaticsbyH.K.Huang, SecondEdition,WileyandBlackwell.
2. PACS:A Guideto theDigitalRevolution byKeithJ. Dreyer, Springer.
3. DataCommunication and NetworkingbyBehrouzA.Forouzan, McGrawHill.
4. ComputerNetworksbyA.S. Tanenbaum,PearsonEducation.

ReferenceBooks:
1. Governance of Picture Archiving and Communications Systems by Carrison K.S. Tong, Eric
T.T.Wong (MedicalInformation ScienceReference).
2. PracticalImagingInformatics,ByBartonF. Branstetter,Springer.
3. PACSFundamentalsbyHermanOosterwijk.
4. Cryptographyand NetworkSecurityByWilliam Stalling, Pearsons.

Page 34

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

TheoryExamination:
1. Questionpaperwill compriseoftotal06questions, eachcarrying20marks.
2. Total04 questions needto be solved.
3. Question No: 01 will be compulsory and based on entire syllabus wherein sub -questions
of2to 5 marks will be asked.
4. Remainingquestionswillberandomly selected from allthemodules.










Course
Code
CourseName Teaching scheme
(Contact
Hours)
CreditsAssigned

ILO7011 Product
LifeCycle Ma
nagement Theory Pract./Tut. Theory Pract./Tut. Tota
l
3 -- 3 -- 3


Course
code

CourseName ExaminationScheme
Theory
Term
Work
Oral
Total InternalAssessment End
Sem.
Exam Exam
Duration
(inHrs) Test1 Test2 Avg

ILO7011 ProductLife
Cycle Manageme
nt
20
20
20
80
3
--
--
100



CourseO
bjectives  Tofamiliarizethestudents withtheneed,benefits and componentsofPLM
 ToacquaintstudentswithProductDataManagement&PLMstrategies
 Togiveinsightsintonewproductdevelopmentprogramandguidelinesfordesigningand
developingaproduct
 TofamiliarizethestudentswithVirtualProductDevelopment


Course
Outcomes Uponsuccessful completionof thiscourse,thelearnerwillbeableto:
 GainknowledgeaboutphasesofPLM,PLMstrategiesandmethodologyfor
PLMfeasibilitystudyand PDM implementation.
 Illustratevariousapproachesandtechniquesfordesigninganddevelopingproducts.
 Applyproductengineering guidelines/thumbrulesindesigningproductsformoulding,
machining, sheet metal workingetc.
 Acquire knowledge in applying virtual product development tools
forcomponents,machiningand manufacturingplant

Module DetailedContents Hours

Page 35

33
UniversityofMumbai,BiomedicalEngineering,Rev2022 -23




1 IntroductiontoProductLifecycle Management (PLM):
ProductLifecycleManagement(PLM),NeedforPLM,ProductLifecyclePhases,Oppo
rtunities of Globalization, Pre-PLM Environment, PLM
Paradigm, Importance&BenefitsofPLM,WidespreadImpactofPLM,
FocusandApplication,APLM Project,StartingthePLMInitiative,PLMApplications P
LMStrategies: Industrialstrategies,Strategyelements,itsidentification,selectionandi
mplementation,DevelopingPLMVisionandPLMStrategy,
ChangemanagementforPLM


10





2 ProductDesign:
Product Design and Development Process, Engineering Design, Organization
andDecompositioninProductDesign,TypologiesofDesignProcessModels,Referenc
e Model, Product Design in the Context of the Product DevelopmentProcess,
Relation with the Development Process Planning Phase, Re lation withthe Post
design Planning Phase, Methodological Evolution in Product
Design,ConcurrentEngineering,CharacteristicFeaturesofConcurrentEngineering,
Concurrent Engineering and Life Cycle Approach, New Product
Development(NPD)andStrategies,ProductConfi gurationandVariantManagement,
TheDesignforXSystem,ObjectivePropertiesandDesignforXTools,Choiceof
Design forXToolsand TheirUseintheDesignProcess




09

3 ProductDataManagement(PDM):
Product and Product Data, PDM systems and importance, Components of
PDM, ReasonforimplementingaPDMsystem,financialjustificationofPDM,barriers
to PDM implementation
05

4 VirtualProductDevelopmentTools:
For components,machines,andmanufacturingplants,3D CAD systemsandrealistic
rendering techniques, Digital mock -up, Model building, Model
analysis,Modelingand simulations in Product Design,Examples/Casestudies
05


5 IntegrationofEnvironmentalAspectsin ProductDesign:
SustainableDevelopment,DesignforEnvironment,NeedforLifeCycleEnvironmental
Strategies,UsefulLifeExtension Strategies,End -of-LifeStrategies, Introduction of
Environmental Strategies into the Design Process,
LifeCycleEnvironmentalStrategies andConsiderationsforProductDesign

05


6 LifeCycleAssessment andLifeCycleCostAnalysis:
Properties, and Framework of Life Cycle Assessment, Phases of LCA in
ISOStandards, Fields of Application and Limitations of Life Cycle Assessment,
CostAnalysis andtheLifeCycle Approach, GeneralFrameworkforLCCA,
Evolution
ofModelsforProductLifeCycleCostAnalysis

05


Assessment:
Internal Assessmentfor20marks:ConsistingTwoCompulsoryClassTests
Firsttestbasedonapproximately40%ofcontentsandsecondtestbasedonremainingcontents(appro
ximately40%but excludingcontents covered in TestI)

REFERENCES:

Page 36

34
UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

1. JohnStark,―ProductLifecycle Management:Paradigmfor21stCenturyProductRealisation‖,Sp
ringererlag, 2004.ISBN:1852338105
2. Fabio Giudice, GuidoLaRosa, AntoninoRisitano,―Product Designfortheenvironment -
Alifecycleapproach‖, Taylor &Francis2006,ISBN: 0849327229
3. SaaksvuoriAntti,Immonen Anselmie,―ProductLifeCycleManagement‖,Springer,Dreamtech,
ISBN: 3540257314
4. MichaelGrieve,―ProductLifecycleManagement:Drivingthenextgenerationofleanthinki
ng‖,Tata McGraw Hill, 2006,ISBN: 0070636265





EndSemesterExamination:

Weightageofeachmoduleinend semesterexaminationwillbeproportionaltonumberofrespectivelecture
hoursmentioned in the curriculum.
1. Questionpaperwillcompriseoftotal six questions ,eachcarrying20marks
2. Question1 willbe compulsory andshould cover maximumcontentsofthecurriculum
3. Remainingquestionswi llbemixedinnature (forexampleifQ.2haspart(a)frommodule3thenpart
(b)will befromanymoduleother thanmodule3)
4. Only Fourquestionsneed tobe solved .

Page 37

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

Course
Code
CourseName Teaching scheme
(ContactHours)
CreditsAssigned

ILO7012 Reliability
Engineering Theory Pract./Tut. Theory Pract./Tut. Tota
l
3 -- 3 -- 3


Course
code

CourseName ExaminationScheme
Theory
Term
Work
Oral
Total InternalAssessment End
Sem.
Exam Exam
Duration
(inHrs) Test1 Test2 Avg
ILO7012 Reliability
Engineering 20 20 20 80 3 -- -- 100



CourseO
bjectives  Tofamiliarizethestudents with variousaspects ofprobabilitytheory
 Toacquaintthestudentswith reliabilityanditsconcepts
 Tointroducethestudentstomethodsofestimatingthesystemreliabilityofsimpleandcomple
xsystems
 TounderstandthevariousaspectsofMaintainability,AvailabilityandFMEA
procedure


Course
Outcomes Uponsuccessfulcompletionof thiscourse,thelearnerwillbeableto:
 Understandandapplythe conceptof Probabilityto engineeringproblems
 Applyvarious reliability concepts to calculatedifferent reliabilityparameters
 Estimatethesystem reliabilityofsimpleandcomplex systems
 Carryouta FailureMode EffectandCriticalityAnalysis

Module DetailedContents Hours


1 Probabilitytheory: Probability:Standarddefinitionsand concepts;ConditionalPro
bability,Baye‘s Theorem.
ProbabilityDistributions: CentraltendencyandDispersion;Binomial,Normal,Poiss
on,Weibull,Exponential, relationsbetweenthemand theirsignificance.
MeasuresofDispersion: Mean,Median,Mode,Range,MeanDeviation,
StandardDeviation,Variance,SkewnessandKurtosis.

08



2 ReliabilityConcepts: Reliabilitydefinitions,ImportanceofReliability,QualityAssura
nceand Reliability,Bath TubCurve.
FailureDataAnalysis: Hazardrate,failuredensity,FailureRate,MeanTimeToFailure(
MTTF), MTBF,ReliabilityFunctions.
ReliabilityHazardModels: ConstantFailureRate,Linearlyincreasing,TimeDepende
ntFailureRate,WeibullModel.Distributionfunctionsandreliability
analysis.


08

3 SystemReliability:
SystemConfigurations:Series,parallel,mixed configuration,koutofnstructure,Comp
lexsystems.
05

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23



4 ReliabilityImprovement:
RedundancyTechniques:Elementredundancy,Unitredundancy,Standbyredundancie
s.Markovanalysis.
SystemReliabilityAnalysis –Enumerationmethod,Cut -setmethod,Success Path
method,Decompositionmethod.

08


5 MaintainabilityandAvailability:
Systemdowntime,DesignforMaintainability:Maintenancerequirements,Design
methods: Fault Isolation and self -diagnostics, Parts standardization
andInterchangeability, Modularization and Accessibility, Repair Vs
Replacement.Availability – qualitativeaspects.

05

6 FailureMode,EffectsandCriticalityAnalysis:
Failuremodeeffectsanalysis,severity/criticalityanalysis,FMECAexamples.Faulttre
econstruction,basicsymbols,developmentoffunctional reliability
blockdiagram,Fau1ttreeanalysisandEventtreeAnalysis
05

REFERENCES:
1. L.S.Srinath,―ReliabilityEngineering‖,AffiliatedEast -WastPress(P)Ltd., 1985.
2. CharlesE.Ebeling,―ReliabilityandMaintainabilityEngineering‖,TataMcGrawHill.
3. B.S.Dhillion,C.Singh, ―EngineeringReliability‖,JohnWiley&Sons,1980.
4. P.D.T.Conor,―PracticalReliabilityEngg.‖, JohnWiley&Sons, 1985.
5. K.C.Kapur, L.R. Lamberson,―ReliabilityinEngineeringDesign‖,JohnWiley&Sons.
6. MurrayR.Spiegel,―ProbabilityandStatistics‖,TataMcGraw -HillPublishingCo.L td

Assessment:

InternalAssessmentfor20marks:
Consisting TwoCompulsoryClassTests
Firsttestbasedonapproximately40%ofcontentsandsecondtestbasedonremainingcontents(approximately40
%butexcludingcontents covered in TestI)


EndSemesterExamination:
Weightageof eachmoduleinendsemesterexaminationwillbeproportionaltonumberofrespectivelectureh
oursmentioned in the curriculum.
1. Questionpaperwillcompriseoftotal six questions ,eachcarrying20marks
2. Question1 willbe compulsory andshould cover maximumcontentsofthecurriculum
3. Remai ningquestionswillbemixedinnature (forexampleifQ.2haspart(a)frommodule3then part
(b)will befrom anymoduleother thanmodule3)
4. Only Fourquestions needto be solved .

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

Course
Code
CourseName Teaching scheme
(Contact
Hours)
CreditsAssigned

ILO7013 Management
InformationS
ystem Theory Pract./Tut. Theory Pract./Tut. Tota
l
3 -- 3 -- 3


Course
code

CourseName ExaminationScheme
Theory
Term
Work
Oral
Total InternalAssessment End
Sem.
Exam Exam
Duration
(inHrs) Test1 Test2 Avg

ILO7013 Management
Information
System
20
20
20
80
3
--
--
100



CourseO
bjectives  ThecourseisblendofManagementandTechnicalfield.
 Discusstherolesplayedbyinformationtechnologyintoday‘sbusinessanddefinevarioustec
hnologyarchitectures onwhich information systemsarebuilt
 Define and analyze typical functional information systems and identify how they
meettheneeds of thefirm to deliverefficiencyand competitiveadvantage
 Identifythebasicstepsinsystemsdevelopment


Course
Outcomes Uponsuccessfulcompletionof this course,thelearnerwillbeableto:
 ExplainhowinformationsystemsTransformBusiness
 Identifytheimpactinformationsystemshaveonanorganization
 DescribeITinfrastructureanditscomponentsand itscurrenttrends
 Understandtheprincipaltoolsandtechnologiesforaccessing informationfromdatabasesto
improvebusiness performanceanddecision making
 Identifythetypesofsystemsusedforenterprise -wideknowledgemanagementandhow
theyprovidevaluefor businesses

Module DetailedContents Hours

1 IntroductionToInformationSystems(IS):
ComputerBasedInformationSystems,ImpactofITonorganizations,Importance of
IS to Society. Organizational Strategy, Competitive AdvantagesandIS
04

2 DataandKnowledgeManagement: DatabaseApproach,BigData,Datawarehousean
d Data Marts, KnowledgeManagement
Businessintelligence(BI): ManagersandDecisionMaking,BIforDataanalysis
andPresentingResults
07
3 EthicalissuesandPrivacy:
InformationSecurity.ThreattoIS,andSecurityControls 07

4 SocialComputing(SC):
Web2.0and3.0,SCinbusiness -
shopping,Marketing, OperationalandAnalyticCRM,E -business andE -commerce –
B2B B2C.Mobile commerce.
07

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

5 ComputerNetworks WiredandWirelesstechnology,Pervasivecomputing,
Cloud computingmodel. 06


6 InformationSystemwithin Organization:
TransactionProcessing Systems,FunctionalAreaInformationSystem,ERPandERP
support ofBusiness Process.
AcquiringInformationSystemsandApplications:VariousSystemdevelopment
lifecyclemodels.

08

REFERENCES:
1 KellyRainer,BradPrince,Management InformationSystems,Wiley
2 K.C.Laudonand J.P.Laudon,ManagementInformationSystems:ManagingtheDigitalFirm
, 10thEd., PrenticeHall, 2007.
3 D. Boddy,A.Boonstra,Managing Information Systems:Strategy and
Organization,PrenticeHall, 2008

Assessment:

InternalAssessmentfor20marks:
Consisting TwoCompulsory ClassTests
Firsttestbasedonapproximately40%ofcontentsandsecondtestbasedonremainingcontents(app
roximately40%but excludingcontents covered in TestI)

EndSemesterExamination:
Weightageofeachmoduleinendsemesterexaminationwillbeproportionaltonumberofrespectivel ect
urehoursmentioned in the curriculum.
1. Questionpaperwillcompriseoftotal six questions ,eachcarrying20marks
2. Question1 willbe compulsory andshould covermaximumcontentsofthecurriculum
3. Remainingquestionswillbemixedinnature (forexampleifQ.2haspart(a)frommodule3
then part (b) will befrom anymoduleother than module3)
4. Only Fourquestions needto be solved .

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

Course
Code
CourseName Teaching scheme
(Contact
Hours)
CreditsAssigned

ILO7014 Design
ofExperime
nts Theory Pract./Tut. Theory Pract./Tut. Tota
l
3 -- 3 -- 3


Course
code

CourseName ExaminationScheme
Theory
Term
Work
Oral
Total InternalAssessment End
Sem.
Exam Exam
Duration
(inHrs) Test1 Test2 Avg
ILO7014 Design of
Experiments 20 20 20 80 3 -- -- 100


CourseO
bjectives  Tounderstandtheissues andprinciples ofDesignofExperiments(DOE)
 Tolisttheguidelinesfor designingexperiments
 Tobecomefamiliarwithmethodologiesthatcanbeusedinconjunctionwithexperimenta
ldesigns forrobustness and optimization


Course
Outcomes Uponsuccessful completionof thiscourse,thelearnerwillbeableto:
 Plandatacollection,toturndataintoinformationandtomakedecisionsthatleadtoapprop
riateaction
 Applythe methodstaught to reallifesituations
 Plan,analyse,andinterpret theresultsofexperiments

Module Detailed Contents Hours


1 Introduction
1.1 Strategyof Experimentation
1.2 TypicalApplications ofExperimentalDesign
1.3 GuidelinesforDesigningExperiments
1.4 Response SurfaceMethodology

06



2 FittingRegressionModels
2.1 LinearRegressionModels
2.2 EstimationoftheParametersin Linear RegressionModels
2.3 HypothesisTestinginMultipleRegression
2.4 ConfidenceIntervalsinMultipleRegression
2.5 Predictionofnewresponseobservation
2.6 Regressionmodeldiagnostics
2.7 Testingforlack of fit


08



3 Two -LevelFactorialDesigns
3.1 The22Design
3.2 The 23Design
3.3 TheGeneral2kDesign
3.4 ASingleReplicateof the2kDesign
3.5 TheAddition ofCenterPointsto the2k Design,
3.6 Blockinginthe2k Factorial Design


07

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

3.7Split -PlotDesigns



4 Two -LevelFractionalFactorialDesigns
4.1 TheOne -Half Fractionofthe2k Design
4.2 TheOne -Quarter Fractionofthe2k Design
4.3 TheGeneral2k-p FractionalFactorialDesign
4.4 Resolution IIIDesigns
4.5 ResolutionIVandVDesigns
4.6 FractionalFactorialSplit -PlotDesigns


07


5 ResponseSurfaceMethodsandDesigns
5.1 IntroductiontoResponseSurfaceMethodology
5.2 TheMethodofSteepest Ascent
5.3 Analysisof aSecond -OrderResponseSurface
5.4 ExperimentalDesignsforFittingResponseSurfaces

07

6 TaguchiApproach
6.1 CrossedArrayDesignsandSignal -to-NoiseRatios
6.2 AnalysisMethods
6.3 Robustdesignexamples
04

REFERENCES:
1 RaymondH.Mayers,DouglasC.Montgomery, ChristineM.Anderson -Cook,Response
Surface Methodology: Process and Product Optimization using
DesignedExperiment,3rdedition,John Wiley&Sons, NewYork, 2001
2 D.C. Montgomery, Design and Analysis of Experiments, 5th edition, John Wiley
&Sons,New York, 2001
3 GeorgeEPBox,JStuartHunter,WilliamG
Hunter,StaticsforExperimenters:Design,Innovation andDiscovery, 2ndEd. Wiley
4 W J Dimond, Practical Experiment Designs for Engineers and Scientists, John
WileyandSonsInc.ISBN: 0 -471-39054 -2
5 Design and Analysis of Experiment s (Springer text in Statistics), Springer by
A.M.Dean,andD. T.Voss

Assessment :

InternalAssessmentfor20marks:
Consisting TwoCompulsoryClassTests
Firsttestbasedonapproximately40%ofcontentsandsecondtestbasedonremainingcontents(app
roximately40%but excludingco ntents covered in TestI)

EndSemesterExamination:

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41
UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

Weightageofeachmoduleinendsemesterexaminationwillbeproportionaltonumberofrespectivelect
urehoursmentioned in the curriculum.
1. Questionpaperwillcompriseoftotal six questions ,eachcarrying20 marks
2. Question1 willbe compulsory andshould covermaximumcontentsofthecurriculum
3. Remainingquestionswillbemixedinnature (forexampleifQ.2haspart(a)frommodule3
then part (b) will befrom anymoduleother than module3)
4. Only Fourquestions needto be solved .




Course
Code
CourseName Teaching scheme
(Contact
Hours)
CreditsAssigned

ILO7015 Operations
Research Theory Pract./Tut. Theory Pract./Tut. Tota
l
3 -- 3 -- 3


Course
code

CourseName ExaminationScheme
Theory
Term
Work
Oral
Total InternalAssessment End
Sem.
Exam ExamDu
ration
(inHrs) Test1 Test2 Avg
ILO7015 Operations
Research 20 20 20 80 3 -- -- 100

CourseO
bjectives  Formulatea real -worldproblemasamathematicalprogrammingmodel.
 Understandthemathematicaltoolsthatareneededtosolveoptimization problems.
 Usemathematical softwaretosolve theproposedmodels.


Course
Outcomes Uponsuccessfulcompletionof thiscourse,thelearnerwillbeableto:
 Understandthetheoreticalworkingsofthesimplexmethod,therelationshipbetweenalinear
programand itsdual,includingstrong dualityandcomplementaryslackness.
 Perform sensitivity analysis to determine the direction and magnitude of change of
amodel‘soptimal solutionasthe data change.
 Solvespecializedlinearprogrammingproblemslikethetransportationandassignment
problems, solve netw ork models like the shortest path, minimum spanningtree,and
maximum flow problems.
 Understandtheapplicationsofintegerprogrammingandaqueuingmodelandcomputeimpor
tant performancemeasures

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

















Module DetailedContents Hours










1 IntroductiontoOperationsResearch :Introduction,StructureoftheMathematicalM
odel,Limitationsof Operations Research
LinearProgramming :Introduction,LinearProgrammingProblem,Requirements
of LPP, Mathematical Formulation of LPP, Graphical method,Simplex Me thod
Penalty Cost Method or Big M -method, Two Phase
Method,Revisedsimplexmethod, Duality ,
Primal – Dual construction, Symmetric and Asymmetric Dual, Weak
DualityTheorem,ComplimentarySlacknessTheorem,MainDualityTheorem,DualS
implexMethod, SensitivityAnalysis
Transportation Problem :Formulation, solution, unbalanced
Transportationproblem. Finding basic feasible solutions – Northwest corner rule,
least costmethod and Vogel‘s approximation method. Optimality test: the
stepping stonemethod and MODI method. Assignme nt Problem : Introduction,
MathematicalFormulation of the Problem, Hungarian Method Algorithm,
Processing of n JobsThroughTwo Machinesand m
Machines,GraphicalMethodofTwoJobsmMachinesProblemRoutingProblem,Trav
ellingSalesman Problem
Integer Programming Problem : Introduction, Types of Integer
ProgrammingProblems,
Gomory‘scuttingplaneAlgorithm,BranchandBoundTechnique.IntroductiontoDeco
mposition algorithms.









14

2 Queuingmodels :queuingsystemsandstructures,singleserverandmulti -
servermodels,Poisson input,exponentialservice,constantrateservice,finiteand
infinitepopulation
05



3 Simulation :
Introduction,MethodologyofSimulation,BasicConcepts,Simulation
Procedure, Application of Simulation Monte -Carlo
Method:Introduction,Monte -Carlo
Simulation, ApplicationsofSimulation,AdvantagesofSimulation, Limitationsof
Simulation


05

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23


4 Dynamic programming . Characteristics of dynamic programming.
DynamicprogrammingapproachforPriorityManagementemploymentsmoothening
,capitalbudgeting,Stage Coach/ShortestPath,cargoloadingandReliability
problems.
05

5 Game Theory . Competitive games, rectangular game, saddle point,
minimax(maximin) method of optimal strategies, value of the game. Solution of
gameswithsaddlepoints,dominanceprinciple. Rectangulargameswithoutsaddle
point –mixed strategyfor 2X2games.
05
6 InventoryModels :ClassicalEOQ Models,EOQModelwithPriceBreaks,EOQ
withShortage,ProbabilisticEOQModel, 05






REFERENCES:
1 Taha,H.A."OperationsResearch -AnIntroduction",PrenticeHall,(7th Edition),2002.
2 Ravindran,A,Phillips,D.TandSolberg,J.J."OperationsResearch:PrinciplesandPractice",
John Willeyand Sons, 2nd Edition, 2009
3 Hiller,F.S.andLiebermann,G.J."IntroductiontoOperationsResearch",TataMcGraw Hill,
2002.
4 OperationsResearch,S. D.Sharma, KedarNathRamNath -Meerut
5 OperationsResearch,KantiSwarup,P.K.GuptaandManMohan,SultanChand&Sons

Assessment :

InternalAssessmentfor20marks:
Consisting TwoCompulsoryClassTests
Firsttestbasedonapproximately40%ofcontentsandsecondtestbasedonremainingcontents (ap
proximately40%butexcludingcontents covered inTestI)

EndSemesterExamination:
Weightageofeachmoduleinendsemesterexaminationwillbeproportionaltonumberofrespectivelect
urehoursmentioned in the curriculum.
1. Questionpaperwillcompriseoftotal six questions ,eachc arrying20marks
2. Question1 willbe compulsory andshould covermaximumcontentsofthecurriculum
3. Remainingquestionswillbemixedinnature (forexampleifQ.2haspart(a)frommodule3
then, part (b) will be from anymoduleotherthan module 3)
4. Only Fourquestions needto be solved .

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44
UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

Course
Code
CourseName Teaching scheme
(ContactHours)
CreditsAssigned

ILO7016 Cyber
Securityand
Laws Theory Pract./Tut. Theory Pract./Tut. Tota
l
3 -- 3 -- 3


Course
code

CourseName ExaminationScheme
Theory
Term
Work
Oral
Total InternalAssessment End
Sem.
Exam Exam
Duration
(inHrs) Test1 Test2 Avg
ILO7016 CyberSecurity
andLaws 20 20 20 80 3 -- -- 100

CourseO
bjectives  Tounderstandandidentifydifferenttypescybercrimeandcyber law
 TorecognizedIndianIT Act2008and itslatestamendments
 Tolearnvarioustypesof securitystandards compliances

Course
Outcomes Uponsuccessfulcompletionof thiscourse,thelearnerwillbeableto:
 Understandthe conceptofcybercrimeanditseffecton outsideworld
 Interpret andapplyITlawinvariouslegalissues
 Distinguishdifferentaspectsofcyberlaw
 ApplyInformationSecurityStandardscomplianceduringsoftwaredesignanddevelop
ment

Module DetailedContents Hours

1 IntroductiontoCybercrime:
Cybercrimedefinitionandoriginsoftheworld,Cybercrimeandinformationsecurity, Cl
assificationsofcybercrime,CybercrimeandtheIndianITA2000,A
globalPerspectiveoncybercrimes.
4




2 Cyberoffenses&Cybercrime:
How criminal plan the attacks, Social Engg, Cyber stalking, Cyber café
andCybercrimes, Botnets, Attack vector, Cloud computing, Proliferation of
Mobileand Wireless Devices, Trends in Mobility, Credit Card Frauds in Mobile
andWirelessComputingEra,SecurityChallengesPosedbyMobileDevices,Registry
Settings for Mobile Devices, Authentication Service Security,Attackson
Mobile/Cell Phones, Mobile Devices: Security Implications for
Organizations,OrganizationalMeasuresforHandlingMobile,Devices -
RelatedSecurityIssues,
OrganizationalSecurityPoliciesandMeasuresinMobileComputingEra,Laptops



9

3 ToolsandMethodsUsedinCyberline:
Phishing, PasswordCracking,Key loggers andSpywares,Virus
andWorms,Steganography,DoSandDDoSAttacks,SQLInjection,BufferOverFlow,
Attackson WirelessNetworks, Phishing,IdentityTheft (IDTheft)
6

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23



4 TheConceptofCyberspace :
E-Commerce, The Contract Aspects in Cyber Law ,The Security Aspect of
CyberLaw, The Intellectual Property Aspect in Cyber Law, The Evidence Aspect
inCyber Law ,The Criminal Aspect in Cyber Law,Global Trends in Cyber Law
,LegalFrameworkforElectronicDataInterchangeLawRelatingtoElect ronic
Banking,TheNeedforan IndianCyber Law

8

5 IndianITAct:
CyberCrime andCriminalJustice:Penalties,AdjudicationandAppealsUndertheIT
Act, 2000,IT Act. 2008 andits Amendments
6
6 InformationSecurityStandardcompliances
SOX,GLBA,HIPAA,ISO,FISMA,NERC, PCI. 6


REFERENCES:
1. NinaGodbole,SunitBelapure, CyberSecurity ,WileyIndia, New Delhi
2. TheIndianCyberLawbySureshT. Vishwanathan;Bharat LawHouseNewDelhi
3. TheInformationTechnologyAct,2000;BareAct -ProfessionalBookPublishers,NewDelhi.
4. CyberLaw&CyberCrimesby AdvocatePrashantMali;SnowWhitePublications,Mumbai
5. NinaGodbole, InformationSystemsSecurity, WileyIndia,NewDelhi
6. KennetchJ.Knapp, CyberSecurity &GlobalInformationAssurance InformationScience Publish
ing.
7. WilliamStallings ,CryptographyandNetworkSecurity, PearsonPubli cation
8. Websitesformoreinformationisavailableon:TheInformationTechnologyACT,2008 -
TIFR:https:/ /www.tifrh.r es.in
9. Website for more information: A Compliance Primer for IT
profe ssional:https:/ /www.sans.org/r eading -
room/whitepapers/compliance/compliance -primerprofessionals -33538

Assessment :

InternalAssessmentfor20marks:
Consisting TwoCompulsoryClassTests
Firsttestbasedonapproximately40%ofcontentsandsecondtestbasedonremainingcontents(approx
imately40%but excludingcontents covered in TestI)

EndSemester Examination:
Weightageofeachmoduleinendsemesterexaminationwillbeproportionaltonumberofrespectivelect
urehoursmentioned in the curriculum.
1. Questionpaperwillcompriseoftotal six questions ,eachcarrying20marks
2. Question1 willbe compulsory andshould covermaximumconten tsofthecurriculum
3. Remainingquestionswillbemixedinnature (forexampleifQ.2haspart(a)frommodule3
then, part (b) will be from anymoduleotherthan module 3)
4. Only Fourquestions needto be solved .

Page 48

46
UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

Page 49

47
UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

Course
Code
CourseName Teaching scheme
(ContactHours)
CreditsAssigned

ILO7017 DisasterMana
gementandMit
igation
Measures Theory Pract./Tut. Theory Pract./Tut. Tota
l
3 -- 3 -- 3


Course
code

CourseName ExaminationScheme
Theory
Term
Work
Oral
Total InternalAssessment End
Sem.
Exam ExamDu
ration
(inHrs) Test1 Test2 Avg

ILO7017 DisasterMana
gementandMit
igation
Measures
20
20
20
80
3
--
--
100



CourseO
bjectives  Tounderstandphysicsand varioustypesof disasteroccurringaroundthe world
 To identifyextent and damagingcapacityofadisaster
 Tostudyandunderstandthemeansoflossesandmethodstoovercome/minimizeit.
 Tounderstandroleofindividualandvariousorganizationduringandafterdisaster
 TounderstandapplicationofGISinthe fieldofdisastermanagement
 Tounderstandtheemergencygo vernmentresponsestructuresbefore,duringandafterdi
saster


Course
Outcomes Uponsuccessfulcompletionof thiscourse,thelearnerwillbeableto:
 Gettoknownaturalaswellasmanmadedisasterandtheirextentandpossibleeffectson
the economy.
 Planofnationalimportance structuresbasedupontheprevioushistory.
 Getacquaintedwithgovernmentpolicies,actsandvariousorganizationalstructureasso
ciated withan emergency.
 Gettoknowthesimpledo‘sanddon‘tsinsuchextremeeventsandactaccordingly.

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23





Module Detailed Contents Hours


1 Introduction
1.1DefinitionofDisaster,hazard,globalandIndianscenario,generalperspective,
importance of study in human life, Direct and indirect effects ofdisasters,
long term effects of disasters. Introduction to global warming
andclimatechange.

03




2 NaturalDisasterandManmadedisasters:
2.1 Natural Disaster: Meaning and nature of natural disaster, Flood, Flash
flood,drought,cloudburst,Earthquake,Landslides,Avalanches,Volcanicerupti
ons, Mudflow, Cyclone, Storm, Storm Surge,climate change,
globalwarming,sealevel rise, ozonedepletion
2.2 Manmade Disasters: Chemical, Industrial, Nuclear and Fire Hazards. Roleof
growing population and subsequent industrialization, urbanization
andchanginglifestyleofhumanbeingsinfrequentoccurrencesofmanmade
disasters.



09




3 DisasterManagement,PolicyandAdministration
3.1 Disaster management: meaning, concept, importance, objective of
disastermanagementpolicy,disasterrisksinIndia,Paradigmshiftindisastermana
gement.
3.2 Policyand administration:
Importance and principles of disaster management policies, command
andcoordination of in disaster management, rescue operations -how to start
withandhowtoproceedinduecourseoftime,studyofflowchartshowingthe
entireprocess.



06



4 InstitutionalFrameworkforDisaster ManagementinIndia:
4.1 Importance ofpublic awareness, Preparation and execution of
emergencymanagement program. Scope and responsibilities of National
Institute ofDisaster Management (NIDM) and National disaster
management
authority(NDMA)inIndia.Methodsandmeas urestoavoiddisasters,Manageme
ntofcasualties,setupofemergencyfacilities,importanceofeffectivecommunicat
ionamongstdifferentagencies insuch situations.
4.2 Useof Internet and softwares for effective disaster management.
ApplicationsofGIS,Remotesensingand GPS inthisregard.


06



5 FinancingReliefMeasures:
5.1 Ways to raise finance for relief expenditure, role of government
agenciesandNGO‘sinthisprocess,Legalaspectsrelatedtofinanceraisingaswella
s overall managementof disasters.Various NGO‘sand theworksthey have
carried out in the past on the occurrence of various disasters, Ways
toapproachtheseteams.
5.2 Internationalreliefaidagenciesandtheirroleinextremeevents.


09


6 PreventiveandMitigationMeasures:
6.1 Pre-disaster,duringdisasterandpost -
disastermeasuresinsome eventsingeneral
6.2 Structuralmapping:Riskmapping,assessmentandanalysis,seawallsandembank
ments,Bio shield,shelters, earlywarningandcommunication
6.3 NonStructuralMitigation:Communitybaseddisasterpreparedness,risk

06

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

transferandriskfinancing, capacitydevelopmentandtraining,awarenessand
education, contingencyplans.
6.4 Do‘s and don‘ts in case of disasters and effective implementation of
reliefaids.

REFERENCES:
1. ‗DisasterManagement‘byHarshK.Gupta,UniversitiesPressPublications.
2. ‗Disaster Management: An Appraisal of Institutional Mechanisms in India‘ by O.S.
Dagur,publishedbyCentre forland warfarestudies, NewDelhi,2011.
3. ‗IntroductiontoInternationalDisasterManagement‘byDamonCopolla,ButterworthHeineman
nElsevier Publications.
4. ‗Disaster Managem entHandbook‘ by JackPinkowski,CRCPressTaylor andFrancisgroup.
5. ‗Disaster management & rehabilitation‘ by Rajdeep Dasgupta, Mittal Publications,
NewDelhi.
6. ‗Natural Hazards and Disaster Management, Vulnerability and Mitigation – R B
Singh,RawatPublications
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
Internationalleveland updated information available onauthenticweb sites)

Assessment :

InternalA ssessmentfor20marks:
Consisting TwoCompulsoryClassTests
Firsttestbasedonapproximately40%of
contentsandsecondtestbasedonremainingcontents(approximately40%butexcludingcontents
covered in TestI)

EndSemesterExamination:
Weightageofeachmoduleinendsemester examinationwillbeproportionaltonumberofrespectivelectur
ehoursmentioned in the curriculum.
1. Questionpaperwillcompriseoftotal six questions ,eachcarrying20marks
2. Question 1 will be compulsory and should cover maximum contents of
thecurriculum
3. Remaining question s will be mixed in nature (for example if Q.2 has part (a)
frommodule3 then,part (b)will befrom anymoduleotherthan module 3)
4. Only Fourquestions needto be solved .

Page 52

50
UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

Course
Code
CourseName Teaching scheme
(Contact
Hours)
CreditsAssigned

ILO7018 Energy
AuditandMa
nagement Theory Pract./Tut. Theory Pract./Tut. Tota
l
3 -- 3 -- 3


Course
code

CourseName ExaminationScheme
Theory
Term
Work
Oral
Total InternalAssessment End
Sem.
Exam Exam
Duration
(inHrs) Test1 Test2 Avg

ILO7018 Energy
Auditan
d
Management
20
20
20
80
3
--
--
100



CourseO
bjectives  Tounderstandtheimportanceenergysecurityforsustainabledevelopmentandthefunda
mentals ofenergyconservation.
 Tointroduceperformanceevaluationcriteriaofvariouselectricaland thermalinstallatio
nsto facilitate theenergymanagement
 Torelatethedatacollectedduringperformanceevaluationofsystemsforidentification
ofenergysavingopportunities.


Course
Outcomes Uponsuccessfulcompletionof thiscourse,thelearnerwillbeableto:
 Toidentifyand describe presentstate of energysecurityandits importance.
 Toidentifyanddescribethebasicprinciplesandmethodologiesadoptedinenergyauditof
autility.
 Todescribetheenergyperformanceevaluationofsomecommonelectricalinstallations and
identifythe energysavingopport unities.
 Todescribetheenergyperformanceevaluationofsomecommonthermalinstallationsand
identifytheenergysavingopportunities
 Toanalyzethedatacollectedduringperformanceevaluationandrecommendenergysaving
measures

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Module DetailedContents Hours


1 EnergyScenario:
PresentEnergyScenario,EnergyPricing,EnergySectorReforms,EnergySecurity,
Energy Conservation and its Importance, Energy Conservation Act -
2001anditsFeatures.BasicsofEnergyanditsvariousforms,Materialand
Energybalance

04



2 EnergyAuditPrinciples:
Definition,Energyaudit -
need,Typesofenergyaudit,Energymanagement(audit)approach -
understandingenergycosts,Benchmarking,Energyperformance,Matchingenergyus
etorequirement,Maximizingsystemefficiencies,Optimizingtheinputenergyrequire
ments,F uelandenergysubstitution. Elements of monitoring& targeting; Energy
audit Instruments; Dataandinformation -analysis.
Financialanalysis techniques: Simple payback period, NPV, Return on
investment(ROI),Internalrateofreturn(IRR)


08



3 Energy Management and Energy Conservation in Electrical
System: Electricitybilling,ElectricalloadmanagementandmaximumdemandControl
;Powerfactorimprovement,Energyefficientequipmentsandappliances,starratings.
Energy efficiency measures in lighting system, lighting co ntrol:
Occupancysensors,daylight integration, anduseof intelligent controllers.
Energyconservationopportunitiesin:waterpumps,industrialdrives,induction
motors,motorretrofitting,softstarters,variablespeeddrives.


10



4 EnergyManagementandEnergy ConservationinThermalSystems:
Review of different thermal loads; Energy conservation opportunities in:
Steamdistribution system, Assessment of steam distribution losses, Steam
leakages,Steamtrapping, Condensate and flashsteam recoverysystem.
General fuel e conomy measures in Boilers andfurnaces, Waste heat
recovery,useofinsulation -
typesandapplication.HVACsystem:Coefficientofperformance,Capacity,factorsaff
ectingRefrigerationandAirConditioningsystemperformanceandsavings
opportunities.


10

5 Energy PerformanceAssessment:
On site Performance evaluation techniques, Case studies based on: Motors
andvariablespeeddrive,pumps,HVACsystemcalculations;LightingSystem:Installe
d Load EfficacyRatio (ILER)method, FinancialAnalysis.
04

6 Energyconservationin Buildings:
EnergyConservationBuildingCodes(ECBC):GreenBuilding,LEEDrating,Applicati
onofNon -Conventional and RenewableEnergySources
03

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REFERENCES:
1 HandbookofElectrical InstallationPractice,GeofryStokes,BlackwellScience
2 Designingwith light:LightingHandbook,ByAnilValia, LightingSystem
3 EnergyManagement Handbook,ByW.C.Turner, JohnWileyandSons
4 HandbookonEnergyAuditsandManagement,editedbyA.K.Tyagi,TataEnergyResearchIn
stitute(TERI).
5 EnergyManagementPrinciples,C.B.Smith,PergamonPress
6 Energy ConservationGuidebook,DaleR.Patrick,S.Fardo,RayE.
Richardson,
FairmontPress
7 HandbookofEnergyAudits, Albert Thumann,W. J. Younger,T.Niehus,CRC Press
8 www.energymanagertraining.com
9 www.bee -india.nic.in

Assessment :
InternalAssessmentfor20marks:
Consisting TwoCompulsoryClassTests
Firsttestbasedonapproximately40%ofcontentsandsecondtestbasedonremainingcontents(
approximately40%butexcludingcontents covered inTestI)

EndSemesterExamination:
Weightageofeachmoduleinendsemesterexaminationwillbeproportionaltonumberofrespec
tivelecturehours mentioned in thecurriculum.
1. Questionpaperwillcompriseoftotal six questions ,eachcarrying20marks
2. Question1 willbe compulsory andshould cover maximumcontentsofthecurriculum
3. Remainingquestionswillbemixedinnature (forexampleifQ.2haspart(a)frommodule3
then, part (b) will be from anymoduleotherthan module 3)
4. Only Fourquestions needto be solved .

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Course
Code
CourseName Teaching scheme
(ContactHours)
CreditsAssigned

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


Course
code

CourseName ExaminationScheme
Theory
Term
Work
Oral
Total InternalAssessment End
Sem.
Exam ExamDu
ration
(inHrs) Test1 Test2 Avg
ILO7019 Development
Engineering 20 20 20 80 3 -- -- 100












CourseO
bjectives  To understandthe characteristics of rural Society and the Scope, Nature
andConstraintsof rural Development
 To study Implications of 73rd CAA on Planning, Development and Governance
ofRuralAreas
 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
lifeandthe personal lifeofmodernIndian professionals
 TounderstandtheNatureandTypeofHumanValuesrelevanttoPlanningInstitutions


Course
Outcomes Uponsuccessfulcompletionof thiscourse,thelearnerwillbeableto:
 ApplyknowledgeforRural Development.
 ApplyknowledgeforManagementIssues.
 Applyknowledgefor InitiativesandStrategies
 Developacumenforhighereducationandresearch.
 Masterthe artofworkingin groupof differentnature.
 Developconfidenceto takeup rural projectactivities independently

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Module Contents Hours



1 IntroductiontoRural Development:
Meaning, nature and scope of development; Nature of rural society in
India;Hierarchy of settlements; Social, economic and ecological constraints for
ruraldevelopmentRoots of Rural Development in India Rural reconstruction
andSarvodayaprogramme beforeindependence;ImpactofvoluntaryeffortandSarvod
aya Movement on rural development; Constitutional direction,
directiveprinciples;PanchayatiRaj -
beginningofplanningandcommunitydevelopment;
Nationalextensionservices.


08


2 Post-IndependenceRural Development:
Balwant Rai Mehta Committee - three tier system of rural local
Government;Need and scope for people‘s participation and Panchayati Raj;
Ashok MehtaCommittee -linkagebetweenPanchayatiRaj,participationandrural
development.

04



3 Rural DevelopmentInitiativesinFiveYear Plans:
Five Year Plans and Rural Development; Planning process at National,
State,RegionalandDistrictlevels;Planning,development,implementingandmonitori
ng organizations and agencies; Urban and rural interface - integratedap proach
and local plans; Development initiatives and their convergence;
Specialcomponent plan and sub -plan for the weaker section; Micro -eco zones;
Data
baseforlocalplanning;Needfordecentralizedplanning;Sustainableruraldevelopment
.


06


4 Post73rd AmendmentScenario: 73rdConstitutionAmendmentAct,including
-XI schedule,devolutionofpowers,functionsandfinance;PanchayatiRajinstitutions
- organizational linkages; Recent changes in rural local planning;Gram Sabha -
revitalized Panchayati Raj; Institutionalization; resource
mapping,resourcemobilizationincludingsocialmobilization;InformationTechnolo
gy
andruralplanning;Needforfurtheramendments.

04




5 Values and Science and Technology Material development and its values;
thechallenge of science and technology; Values in planning profession, research
andeducation.
Types of Values Psychological values — integrated personality; mental
health;Societal values — the modern search for a good society; justice,
democracy, ruleof law, values in the Indian constitution; Aesthetic values —
perception
andenjoymentofbeauty;Moralandethicalvalues;natureofmoraljudgment;Spiritual
values; different concepts; secular spirituality; Relative and
absolutevalues;Humanvalues —humanismandhumanvalues;humanrights;huma n
valuesasfreedom,creativity,loveandwisdom.



10

6 Ethics: Canonsofethics;ethicsofvirtue;ethicsofduty;ethicsofresponsibility;Worket
hics;Professionalethics;Ethicsinplanningprofession,researchand
education
04

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References:

1. ITPI, VillagePlanningandRuralDevelopment, ITPI,NewDelhi
2. Thooyavan,K.R.Human Settlements:A2005MAPublication,Chennai
3. GoI,Constitution(73rd GoI, NewDelhiAmendment)Act,GoI,NewDelhi
4. PlanningCommission, FiveYear Plans,PlanningCommission
5. Planning Commission, Manual of Integrated District Planning, 2006, Planning
CommissionNewDelhi
6. PlanningGuideto Beginners
7. Weaver,R.C.,TheUrbanComplex,Doubleday.
8. Farmer,W.P.etal,EthicsinPlanning,AmericanPlanningAssociation,Washington.
9. How, E., Normative Ethics in Planning, Journal of Planning Literature, Vol.5, No.2, pp. 123 -
150.
10. Watson, V., Conflicting Rationalities: -Implications for Planning Theory and
Ethics,PlanningTheoryand Practice, Vol. 4, No.4, pp.395 – 407

Assessment :

InternalAssessmentfor20marks:
Consisting TwoCompulsoryClas sTests
Firsttestbasedonapproximately40%ofcontentsandsecondtestbasedonremainingcontents(appr
oximately40%but excludingcontents covered in TestI)

EndSemesterExamination:
Weightageofeachmoduleinendsemesterexaminationwillbeproportionaltonumberofrespective lect
urehoursmentioned in the curriculum.
1. Questionpaperwillcompriseoftotal six questions ,eachcarrying20marks
2. Question1 willbe compulsory andshould covermaximumcontentsofthecurriculum
3. Remainingquestionswillbemixedinnature (forexampleifQ.2haspart(a)frommodule3
then, part (b) will be from anymoduleotherthan module 3)
4. Only Fourquestionsneed tobesolved

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Course
Code CourseName Teachingscheme Creditassigned


BML701 BiomedicalInstru
mentation - -III
Lab(Abbreviated
asBMI -IIILab) Theory Pract. Tut. Theory Pract. Tut. Total

--
02
--
--
01
--
01



Course
Code
CourseName ExaminationScheme
Theory Term
work
Pract.
Oral Pract.
/Oral
Total InternalAssessment End
sem Test1 Test2 Avg.

BML701 BiomedicalInstr
umentation -
-IIILab
(BMI -IIILab)
--
--
--
--
25
--
25
--
50


CourseCode CourseName Credits
BML701 BiomedicalInstrumentation --III 01
Course
Objectives  Tounderstandthe basic principlesand workingoflifeSavingEquipment.
 TodevelopskillsenablingBiomedicalEngineersto servethehealthcareindustry
 TodevelopcorecompetencyandskillinthefieldofBiomedicalEngineering,todesign
and develop newhealth caresystems.
Course
Outcomes Learnerwillbeableto…
 Design andimplementbasicPacemakercircuits.
 Design andimplementbasicoscillator circuitsforSurgical Diathermy.
 Demonstratetheknowledgeofapplicationtechniquesofphysiotherapymachines.
 Demonstratetheknowledgeofapplicationtechnique ofoximeter


Syllabus:Sameasthat of(CourseCode)BiomedicalInstrumentation --III(BMI -III)

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ListofExperiments:(AnySeven)
1. Implementationandtestingofbasiccircuitofpacemaker.
2. ImplementationofNANDGateOscillatorinSurgicalDiathermy.
3. ImplementationofRLC Overdampedsystem.
4. ImplementationofOTlights.
5. DemonstrationofDefibrillator.
6. Demonstrationof Pacemaker.
7. DemonstrationofSurgicalDiathermy
8. DemonstrationofUltrasonic Diathermy
9. DemonstrationofNerveandMuscleStimulator
10. DemonstrationofOximeter.
11. Industry/ Hospital visits maybeconducted.

Any
otherexperimentbasedonsyllabuswhichwillhelplearnertounderstandto pic/concept.GroupPresentation
on thelatesttechnologyinhospitals basedonthe topicscovered inthesyllabus.
Assessment:
TermWork:
Termworkshallconsistofminimum7experiments.
Thedistribution ofmarks forterm workshall beasfollows:
Laboratorywork (Experiments) : 10
MarksLaboratorywork (Journal) : 5
MarksPresentation :5 Marks
Attendance :5 Marks
The final certification and acceptance of term work ensures the satisfactory performance of
laboratoryworkand minimum passingin theterm work.
BooksRecommended:
Textbooks:
1. Handbookof Biomedical Instrumentation(Thirdedition):RS.Khandpur.(PHPub)
2. Medical Instrumentation,ApplicationandDesign:JG.Webster.(JohnWiley)
3.Biomedical Instrumentation and measurements: Leslie Cromwell, Fred J. Weibell, Enrich
A.Pfeiffer. (PHIPub)

Referencebooks:
1. IntroductiontoBiomedicalEquipment Technology:Carr –Brown.(PHPub)
2. EncyclopediaofMedicalDevicesandInstrumentation:J G.Webster.Vol I -IV(PHPub)
3. Various InstrumentsManuals.
4. Variousinternetwebsites.

Oralexaminationwillbebasedonentiresyllabus.

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23






CourseCode CourseName Teachingscheme Creditassigned

BML702 Machine
LearningLaborat
ory(Abbreviated
asMLLab) Theory Pract. Tut. Theory Pract. Tut. Total

--
02
--
--
01
--
01





Course
Code

Course
Name ExaminationScheme
Theory
Term
work

Pract

Oral
Prac
t.
/Ora
l

Total Internal
Assessment
End
sem Dur
atio
n(hr
s) Test
1 Test
2 Avg.

BML702 Machine
Learning
Lab(ML
Lab)
--
--
--
--
--
25
--
--
25
50
CourseCode CourseName Credits
BMC702 MachineLearning 03
Course Ob
jectives  Tobuildastrongbaseinartificialintelligencethroughalgorithm development.
 Todevelopcompetencyinlogicalthinking,computerprogrammingandknowledgeapplica
tion.
 Totrain and motivatefor highereducationand researchin orderto
make contributiontostate ofthe art health carefor all
CourseO
utcomes Learnerwillbeableto…
 Understandthefundamentaltechniquesandapplicationsinneuralnetworks,deeplearninga
nd machine learning
 Understandsupervisedandunsupervisedlearning,backpropagationandgradient descental
gorithms
 Understand and implement efficient computational techniques using neural
networks,deeplearningand machinelearning
 Design and implementation of neural network models with deep learning
andmachinelearningwill bestrongbasefordesigning artificial intelligentsystems

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Syllabus: Sameasthatof(BMC702)MachineLearning(ML)

Listof Experiments: (AnySeven)

1 Implementtheactivationfunctionsusedintheneuralnetwork
2 ImplementANDNOT andXORfunctionusing McCulloch -Pittsneuralnet
3 Implementationoflearningrulesforneuralnetwork
4 Implementationofbackpropagationwithgradient descentalgorithmneural network
5 Design and implementtheneuralnetworkmodelforestimationproblem.
6 Design andimplementtheneuralnetworkmodelforclassificationproblem
7 Optimiz etheneuralnetworkmodelforestimationproblem.
8 Optimizethe neuralnetwork model forclassification problem.
9 Design and implementtheneuralnetworkmodelforestimationproblemwithdeeplearning
10 Design and implement the neural network model for estimation problemwith de ep
learningAnyother experimentbased onsyllabus whichwill helplearner tounderstand
topic/concept.
Assessment:

TermWork:
Term work shall consist of minimum 7 experiments. The distribution of marks for term work
shallbeasfollows:
Laboratory work (Experiments ): 10
MarksLaboratory work (Journal) : 10
MarksAttendance: 05 Marks
The final certification and acceptance of term work ensures the satisfactory performance
oflaboratorywork and minimum passingin thetermwork.
Textbooks
1. Introduction to Machine Learning, 3rd edition, Ethem Alpaydin, PHI Learning Private Limited,
NewDelhi,2015
2. Deep Learning by Josh Patterson and Adam Gibson, O‘Reilly Media, Inc., Gravenstein
HighwayNorth,Sebastopol CA, 2017
3. NeuralNetworksandLearningMachinesThirdEdition,SimonHaykin,Pearson,Pren ticeHall,2009

Referencebooks
1. Machinelearningin Action,PeterHarrington,dreamtech Press,NewDelhi, 2012
2. Machinelearning,TomM,Mitchell,McGrawHillEducation(India)PrivateLimitedNewDelhi,2013


Practical examinationwillbebasedonexperimentsandrelatedtopicsin thel aboratorysessions.

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23




Course
Code CourseName Teachingscheme Creditsassigned


BMDL701
1 DepartmentLe
vel
OptionalCours
e – 3Biological
Modeling Theor
y Pract. Tut. Theor
y Pract
. Tut. Total


--

02

--

--

01

--

01
and
Simulation
Lab
(BMSLab)


Course
Code
CourseName ExaminationScheme
Theory Ter
mw
ork
Pract.
Oral Pract.
/Ora
l
Total InternalAssessment En
ds
e
m Test
1 Test
2 Av
g.


BMDL7011 DepartmentL
evelOptional
Course –
3BiologicalM
odeling
andSimulatio
n
(BMS)

--

--

--

-
-


25


-
-


25


-
-


50

Course
Code CourseName Credits

BMDL7011 BiologicalModellingandSimulationLab 01
CourseO
bjective ● Tounderstandbasic approach ofmodelingfordesigningbiologicalmodel.
● Tosimulatephysiologicalprocessesforbetterunderstanding.
● To develop competency in terms of logical thinking, programming and
applicationskills
● Totrainandmotivatestudentsforpursuinghigher
educationandresearchfordevelopingcutting edgetechnologies.
Course O
utcome Learnerwillbeableto:
● Applyconceptof physiologicalmodellingto modelthermometersystem.
● Virtually understand biophysical laws for calculation of membrane
potentialunder different equilibrium conditions and develop simulation
programs forunderstanding neuronal functions.
● Simulatemathematicalmodelfortheeye movement

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ListofLaboratoryExperiments(AnySeven)
1. SimulationsthermometersystemusingMATLAB
2. Simulationof Nernst/GoldmanEquationusingMATLAB( (Twopracticals) )
3. SimulationofeyemovementusingMATLAB
4. SimulationusingHHSim (Twopracticals)
5. SimulationusingNeuronsin Action (Twopracticals)
6. Developingamodelofaneuronusing NEURON
7. Electricalsimulationofthermoregulatorymodel

Any other experiment / assignment / presentation based on syllabus which will
helpstudentsto understand topic/concept.

Assessment:
TermWork:
Termworkshallconsistofminimum7experiments.
The distribution of marks for term work shall be as
follows:Laboratorywork (Experiments) :
10MarksLaboratorywork(Journal):
10Marks
Attendance :5 Marks
The final certification and acceptance of term work ensures the
satisfactoryperformanceof laboratorywork andminimum passingin theterm
work.

BooksRecommended:
TextBooks:
1. Bioengineering,Biomedical,Medical andClinicalEngg.:A.TeriBahil.
2. SignalsandsystemsinBiomedicalEngg.:SureshRDevasahayam.
3. Bio-ElectricityAquantitative approachbyBarr andPloncey


ReferenceBooks:
1. BiomedicalEngineeringHandbookbyBronzino(CRCPress)


Oral examinationwillbebased onentiresyllabus. ● Electricallysimulatemodel ofthermoregulatorysystem
● Understandtheusageof,andtheassumptionsbehindbiologicalmodels

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CourseCode CourseName Teachingscheme Creditassigned

BMDL7012 Bioinformatics
Lab(Abbreviat
edas
BILab) Theory Pract. Tut. Theory Pract. Tut. Total

--
02
--
--
01
--
01



Course
Code

CourseName ExaminationScheme
Theory
Term
work
Pract.
Oral
Pract.
/Oral
Total InternalAssessment End
sem Test
1 Test
2 Avg.
BMDL7012 Bioinformatics
Lab
(BILab )
--
--
--
--
25
--
25
--
50


CourseCode CourseName Credits
BML7012 BioinformaticsLab 01
Course
Objectives  Thecourseintroduces thestudents tothefield of Bioinformatics.
 Tomakestudentsawareaboutthemethodstocharacteriseandmanagethedifferenttypesof
biological data.
 Tointroducestudents tothebasics ofsequencealignment andanalysis.
Course
Outcomes Learnerwillbeableto
 GetintroducedtothebasicconceptsofBioinformaticsanditssignificanceinBiologicaldataana
lysis.
 Applyknowledgeof basic principlesofmathematics and statistics.
 Applyexistingsoftwareeffectivelytoextractinformation fromlargedatabasesandtousethis
information in computer modelling
 Applyproblem -solvingskills to multivariatemethods in bioinformatics
Searchandapplybioinformaticstoolstoanalyseandinterpretbiological data




Syllabus:SameasthatofBMDO7012Bioinformatics

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Listof Tutorials:(anysevenTutorialsbasedonfollowingtopics)
1. StepsinDNAsequencing
2. DifferentmethodsofDNAsequencing
3. Discoveryof GeneSequence.
4. TypesofProteomics
5. Mendel'spostulatesandlawsofinheritance
6. Stepsofdynamicprogramming
7. Classificationofbiologicaldatabases
8. Stepsin HypothesisTesting
9. Typesofstatistical models
10. ImportantAlgorithmsinBioinformatics

Anyothertutorialbasedonsyllabusmaybeincluded,whichwouldhelpthelearnertounderstandtopic/concept.
Apower pointpresentation onanyof th etopics insyllabus should becarried out.

Assessment:
TermWork:

Termworkshallconsistofminimum7tutorials.
Thedistribution ofmarks forterm workshall beasfollows:
Laboratorywork (Tutorials) : 10
MarksPresentation :10Marks
Attendance :5Marks

The final certification and acceptance of term work ensures the satisfactory performance of
laboratoryworkand minimum passingin theterm work.
BooksRecommended:

Textbooks:
1. Basicsof Bioinformatics,RuiJiang,XuegongZhang,MichaelQ. Zhang,Springer,E -book.
2. Introductionto Bioinformatics,ArthurM. Lesk,OxfordUniversityPress,2002,FirstEdition.

ReferenceBooks:
1.EssentialBioinformatics, JinXiong,CambridgeUniversityPress, 2006,FirstEdition.

Oralexamination willbebasedonentiresyllabus.

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23







CourseCode Course Name Teachingscheme Creditassigned

BMDL7013 IOT
BasedSyste
msLab Theory Pract. Tut. Theory Pract. Tut. Total
-- 02 -- -- 01 -- 01



Course
Code

CourseName ExaminationScheme
Theory
Term
work
Pract.
Oral
Pract.
/Oral
Total InternalAssessment End
sem Test
1 Test
2 Avg.

BMDL7013 IOT
BasedSyste
msLab
--
--
--
--
25
--
25
--
50


CourseCode CourseName Credits
BMDL7013 IOTBasedSystemsLab 01
CourseObjectives  Learntheconceptsof IOT
 Identifydifferenttechnologiesandschemes
 Learndifferentapplicationsin IOT
 Learndifferentprotocolsusedin IOT
 Learnhowtoanalyzethe datain IOT
 CourseOutcomes Learnerwillbeableto
 Applythe conceptsofIOT
 Identifyandselectdifferenttechnologiesandschemefor IOTapplications
 ApplyIOTtodifferentapplications
 Analyzeandevaluateprotocolsusedin IOTsystems
 Analyzedataflowin IOTsystems


Syllabus:Sameasthat of (CourseCode)Bioinformatics


Listof Experiments:(anysevenExperimentsbasedonfollowinglist)
1) To demonstrate I/O operations, interrupts, ADC and other onboard features using any
onehardwareplatform (Arduino/RaspberryPi/BeagleBone/ESP32).

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

2) To demonstrate interfacing various sensors and storing data on -board [ and on -board processing
ofdata] usinganyonehardwareplatform (Arduino/RaspberryPi/Beagle Bone/ESP32).
3) To demonstrate interfacing various sensors and communicating data using Internet using any
onehardwareplatform (Arduino/RaspberryPi/BeagleBone/ESP32).
4) TodemonstrateCoAPprotocol(client –server model)withSOCplatformasserver.
5) TodemonstrateCoAPprot ocol(client –servermodel)withSOCplatformasclient.
6) TodemonstrateMQTT broker(publish -subscribemodel)withSOCplatform asbroker.
7) TodemonstrateMQTTbroker (publish -subscribemodel)withSOCplatform aspublisher.
8) Todemonstratetheuseofcloudstorage.
9) Todemonstratetheuse/ roleofcloudcomputing.

AnyotherExperimentbasedonsyllabusmaybe included,whichwouldhelpthe learner
tounderstandtopic/concept.

Assessment:
TermWork:

Termworkshallconsistofminimum7tutorials.
Thedistribution ofmarks forterm workshall beasfollows:
Laboratory work (Tutorials) : 10
MarksPresentation :10Marks
Attendance :05Marks

The final certification and acceptance of term work ensures the satisfactory performance of
laboratoryworkand minimum passingin theterm work.
BooksRecommended:

BooksRecommended:
Textboo ks:
1. InternetofThings:AHands -On Approach,ArshdeepBahga,VijayMadisetti,universitiespress.
2. IOTfundamentals,David,Gonzalo,Patrick,Ciscopress.
3. DataandComputercommunications,williamstallings,PearsonEducation.
4. Data communication and networking, Behrouz A. Forouzan, McGraw Hill
EducationCommunicationNetworks,Alberto LeonGarcia,McGraw HillEducation.

ReferenceBooks:
1. ComputerNetworks,S.Tanenbaum,PearsonEducation.
2. ComputerNetworking:ATop -DownApproach,J.F.KuroseandK.W.Ross,AddisonWesley.

Oralexaminationwillbeba sedonentiresyllabus.

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23






Course
Code CourseName Teachingscheme Creditassigned

BMP701
MajorProject
-I Theory Pract. Tut. Theory Pract. Tut. Total
-- 06 -- -- 03 -- 03


Course
Code

CourseName ExaminationScheme
Theory
Term
work
Pract.
Oral
Pract.
/ Oral
Total InternalAssessment End
sem Test
1 Test
2 Avg.
BMP
701 MajorProject
-I -- -- -- -- 25 -- 25 -- 50



CourseCode CourseName Credits
BMP701 MajorProject -I 03
Courseobjective  Toapplytheknowledgegained duringCurriculumtodevelopanddesignpr
oblem statement.
 Conductliteraturesurvey.
 DesignCircuit/Flowchartofthestatement.
 Documentationandprojectreportwriting.
CourseOutcome Learnerwillbeableto
 Reviewliteraturetodefineproblem statement
 Applyknowledgeofthe engineeringfundamentalsacquiredduringthecurr
iculum and beyond
 Developandcreatedesignusingappropriatedesignmethodologiesconside
ringthe various health, societyand environmental needs.
 Writeproblemstatement,Designconceptinprescribedformat.
 Learn thebehavioral sciencebyworkingin agroup.

ProjectGuidelines:
1. Learnerisallotted6hrsperweekfortheprojectwork
2. Learners shouldcarryout literaturesurvey/visit industry/ analyzecurrent trends and
identifytheproblemforProjectand finalizeinconsultation with Guide/Supervisor.
3. Groupofmaximum fourstudentswill becompletingacomprehensiveprojectwork.
4. Learnersshouldusemultipleliteraturesandunderstandtheproblem.
5. Learnersshouldattemptsolutionto theproblembyexperimental/simulationmethods.
6. Thesolutiontobevalidatedwithproper justification andcompilethereportinstandard format

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

7. Learner may use this opportunity to learn different computational techniques as well as some
modeldevelopment.


FacultyLoad:
1. Insemester VII –1/2 (half)period of1/2 hour perweekper project group
2. Eachfa cultyispermitted totake(guide)maximum4 (Four)projectgroups

Assessment:
TermWork:
Term Work should be examined by approved internal faculty appointed by the head of the institute
basedonthe following:
 Scopeand objectiveof theproject work.
 Extensive Literaturesurvey.
 Progressofthework (Continuousassessment)
 ReportinprescribedUniversityformat.


GuidelinesforAssessmentofProjectStage -I
1. Project I should be assessed through a presentation jointly by Internal and External
Examinersapproved bytheUniversityo f Mumbai
2. Projectstage Ishouldbe assessed basedon followingpoints
 Qualityof problemselected
 LiteratureSurvey
 Clarityof Problem definition and Feasibilityof problem solution
 Relevancetothespecialization/Industrialtrends
 Clarityofobjectiveand scope
 Qualityof Project Design
 CompilationofProjectReport
 QualityofWrittenandOralPresentation

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Course
Code CourseName Teachingscheme Creditassigned

BMC801 HospitalMan
agement (Ab
breviated
asHM) 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
atio
n(h
rs
) Test
1 Test2 Avg.

BMC80
1 Hospital Ma
nagemen t
(HM)
20
20
20
80
03
--
--
--
--
100



CourseCode CourseName Credits
BMC801 HospitalManagement 03
Course
Objectives  Tounderstandthebasicprinciplesusedfordesigningofvariousdepartmentsinthehospital.
 TounderstandtheroleofBiomedicalEngineerinhospitalandbasicdevelopskillsenablingtose
rvehospitals.
 Tounderstandtheoverall functioningofvariousdepartmentsinthehospital.
Course
Outcomes Learnerwillbeableto…
 Applythe managementconcepts used specificallyin hospital.
 Explainthemanagementstructureand itsfunctionsinhospital.
 Demonstratetheknowledgeabouttheprinciplesofdesigningand commissioningofclinicalse
rvices in thehospital.
 DemonstratetheknowledgeabouttherolesandresponsibilitiesofBiomedicalEngineerin
hospital.
 DemonstratetheknowledgeaboutthefunctionsofotherEngineeringandauxiliaryservicesin
thehospital.
 Applyenvironment and waste managementconcepts inhealthcareindustry.





Semester –VIII

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

Module Contents Hours
1 Processofmanagement:
Principlesofmanagement,leadership,motivation,timemanagement,H.R.managemen
t(recruitment,performanceappraisal,training
anddevelopment,), effectivecommunication,accounting -types ofBudget. 07
2 Organizationof thehospitalandhospitalplanning:
Managementstructure,typesofhospitals,governing body,hospitalcommittee
andhospitalfunctionaries, duties andresponsibilities ofvarious positions.
Guiding principlesinplanninghospitalfacilitiesandservicesandplanningthe
hospitalbuilding 04
3 Clinicalservices:(Location,layout,equipment,personnel,andfunctions):
OUTpatient,INpatient(wards),intensivecare,pathologylaboratory&bloodbank,radio
logy,physiotherapy, surgicaloperationtheatre,emergency(casualty). 10
4 Biomedicalengineeringdepartment:(Location,layout,equipment ,personnel,an
d its mainfunctions)
Rolesandresponsibilitiesofabiomedicalengineerinhospitals,
Equipment management: maintenance types: routine(preventive) and
breakdown,maintenance contracts (CMC and AMC)
Purchasemanagement:Purchasesystem(centralized,decentralized,localpurchase),ty
pesofpurchase,purchaseprocedures:selectionofsuppliers,tenderingprocedures,analy
zingbids,pricenegotiations
Material‘s (store) management: Functions of store manager, materials
handling,flowofgoods/FIFO,inventorycontrol :lead-
time,bufferstock,reorderlevel,two
binsystem,EOQ 09
5 Otherengineeringservices:
Engineeringservices(electrical,mechanicalandcivil): responsibilitiesandfunctions.
Hospital ventilation and air conditioning, medical gas system, hospital
informationsystem. 05
6 Environmentand wastemanagement:
Hospitalinfectioncontrol,centralsterileservicedepartment(CSSD),biomedicalwaste
management,disaster management. 04

Assessment:
Internal Assessment consists of two tests out of which; one should be compulsory class test
(onminimum02Modules)and theotheriseither aclasstest orassignmentonlive
problemsorcourseproject.
BooksRecommended:
TextBooks:
1. Hospital ManagementbyDr.PradynaPai
2. HospitalPlanning,DesigningandManagement:KundersGD,Gopinath,Akatakam(PrivatePubBangalor
e)

ReferenceBooks:
1. ComputersinMedicine:R.D. Lele(TMHPub)
2. HospitalCareandHospitalManagementAICTEJournalVol.1,2,3byDr.Kalanidhi.(AICTEPub Bangalo
re
3. Careersin Biomedical:ShantanuThatte.

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TheoryExamination :
1. Questionpaperwill compriseoftotal06questions, eachcarrying20marks.
2. Total04 questions needto be solved.
3. Question No: 01 will be compulsory and based on entire syllabus whe rein sub -questions
ofmarkswill be asked.
4. Remainingquestionswillberandomlyselected from allthemodules.




















































Course CourseName Teachingscheme Creditassigned

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Code



BMDO8011 Department Op
tionalCourse –
5Robotics
InMedicine (Ab
breviatedas
RIM) Theory Pract. Tut. Theory Pract. Tut. Total


03

--

--

03

--

--

03




Course
Code

Course
Name ExaminationScheme
Theory
Term
work

Pract

Oral
Pract.
/Oral

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


BMDO8011 Department
OptionalCo
urse –
5Robotics
InMedicine
(RIM)

20

20

20

80

03

--

--

--

--

100


CourseCode CourseName Credits
BMDO8011 RoboticsIn Medicine 03
Course
Objectives  Tomakethelearnerawareof fundamental conceptsof Robotics
 Tomakelearner studydirect andInverseKinematics ofRobots
 Tomakelearner knowtheTrajectoryandMotionplanning.
 Tomakethelearnerknow theBiomedical applicationsofrobotics
Course
Outcomes Learner willbeableto…
 Todescribedirectand inversekinematicsof robots.
 Todescribeworkspaceenvelop and trajectoryplanningfor robots
 To applyvarious imageprocessingtools forroboticmanipulation
 Toimplementmotionplanningsolutionsusingvarious algorithms
 Toillustrate medicalapplicationsofrobots


Module
No. Contents Hours
1 Introduction:
Automationandrobots,classification,application,specificationandnotations.
04
2 DirectKinematics:
Dot and cross products, co -ordinate frames, rotations, homogeneous
coordinates,link co-ordinates,arm equation andarm matrixderivation (two
axis,three
axisandfouraxisSCARA),configurationoffiveaxisandsixaxisrobots(armmatrix 10

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derivationandequationnotexpected)
3 Inversekinematics:
Generalpropertiesofsolutionsofinverse kinematics,methodsforfindingsolution, tool
configuration vector and inverse kinematics solution for two axis,threeaxis and
four axis robots.
Workspace analysis, work envelope and examples, workspace fixtures,
trajectoryplanning, pick and place operations, continuous path motion,
interpolated motion,straight -linemotion.


08
4 Robotvision:
Imagerepresentation,templatematching,polyhedralobjects,shaneanalysis,segmentat
ion (thresholding, region labelling, shrink operators, swell
operators,Eulernumbers, perspectivetransformation,structuredillumination,camerac
alibration).
06
5 Taskplanning:
Tasklevelprogramming,uncertainty,configuration,space,grossmotion,planning,Gra
spplanning,fine -motionplanning,simulationofplanarmotion,sourceandgoal
scenes,task planner simulation.
06
6 Applicationsinbiomedicalengineering:
Applicationinrehabilitation: clinicalandsurgery
05
Assessment:
Internal Assessment consists of two tests out of which; one should be compulsory class test (on
minimum02Modules) and theother is eitheraclass test orassignment on liveproblems or courseproject.
BooksRecommended:
TextBooks:
1. FundamentalsofRobotics -Analysisandcontrol,RobertShilling,PrenticeHallof India
2. IntroductiontoRobotics,SaeedBNiku,PearsonEducation
3. Robotics,Fu,GonzalesandLee,McGraw Hill,SecondEdition,2011
4. ―Introduction to Robotics –Mechanics &Control‖ John J. Craig,
PearsonEducation,India, Third Edition, 2009

ReferenceBooks:
1. RoboticsandAI,Staughard,,PrenticeHallOfIndia.
2. IndustrialRoboticsGrover,Wiess,Nagel,Oderey,McGraw Hill.
3. RoboticsandMechatronics,WalframStdder,Mc GrawHill,NewYork,2008
4. RobotEngineering,Klafter,Chmielewski,Negin. PrenticeHallOfIndia.
5. RoboticsandControl.Mittal,Nagrath,TataMcGrawHillpublications

TheoryExamination :
1. Questionpaperwill compriseof6questions,eachcarr ying20marks.
2. Totalfourquestions needto besolved.
3. Q.1willbecompulsory,basedonentiresyllabus whereinsubquestionsof 2to5markswillbeasked.
4. Remainingquestion will berandomlyselected from all themodules

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Course
Code CourseName Teachingscheme Creditassigned



BMDO8012 DepartmentOp
tionalCourse –
5HealthcareInf
ormatics(Abbre
viatedas
HCI) Theory Pract. Tut. Theory Pract Tut Total


03

--

--

03

--

--

03




Course
Code

Course
Name ExaminationScheme
Theory

Term
work

Pract

Oral

Pract
/Oral

Total Internal
Assessment
End
sem Dur
atio
n(h
rs
) Test
1 Test
2 Avg.

BMDO801
2 Department
OptionalCo
urse –
5Healthcar
eInformatic
s
(HCI)

20

20

20

80

03

--

--

--

--

100



CourseCode CourseName Credits
BMDO8012 HealthcareInformatics 03
Course
Objectives  Tounderstandthehealthcareinteroperabilitysemanticandsyntactic.
 TounderstandthestandardsofhealthcareinteroperabilitystandardsforMedicalImagesandM
edical Messages.


Course
Outcomes Learnerswillbeableto:
 UnderstandHealthcareinteroperabilitystandards
 FabricateHL7Messages
 Understandand DesignUMLDiagrams
 UnderstandsemanticinteroperabilitythroughDICOM
 EditandCompareDICOMfile

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

Module Contents Hours
1. Healthcareinteroperability:
Standardsin healthcaresystem,categorizingstandards,standarddevelopment,varioushe
althcareinformaticsstandards,needforaLinguaFranca,electronichealth records,
interoperabilitymodellingbasics.
05
2. HL7Version2(Part -I)
Messagesyntax,delimiters,segmentdefinition,message headerMSH,patientidentificat
iondetails(PID),patientvisit(PV1),requestandspecimendetails(OBR), result details
(OBX). 04
3. HL7Version2(Part -II)
Z-Segments,data,simpledatatypes,complexdatatypes,codesandidentifiers,namesand
addresses, other complexdatatypes. 04
4. DICOMstandard:
Introduction,DICOMGrammar:VRs,DICOMdatadictionary,DICOMobjects,DICO
Minformationhierarchy,modules,IODs andIEs. 07
5. DICOMCommunications:
DICOM SOPs, unit identification on n/w, services and data, DIMSE Example: C -
Echo,storage,query: find,C -FindIOD,C -FindDIMSE,C -Cancel,modalityWorklist,
Basic DICOM retrieval: C -Get, advanced DICOM retrieval: C -
Move,DICOM:ping, push andpull. 09
6. DICOMAssociations
Associationestablishment, transfersyntax,applicationcontext,
DICOMMedia:Files,Folders, andDICOMDIRs
DICOM Fileformat,DICOMfileservices,storingDICOMdata inPACS. 10

Assessment:
Internal Assessment consists of two tests out of which; one should be compulsory class test
(onminimum02Modules)and theotheriseither aclasstest orassignmentonlive
problemsorcourseproject.
BooksRecommended:

Textbooks:
1. Principles of Health Interoperability HL7 and SNOMED (Health Information
TechnologyStandards)byTim Benson, Springer Publication.
2. Digital
ImagingandCommunicationinMedicine(DICOM)byOlegS.Pianykh,Springer Publication.
3. TheCDATMBook,ByKeithBoone,Springer Publication.

ReferenceBooks:
1. InformaticsinMedical Imaging, GeorgeC.Kagadis,SteveG.Langer,CRCPress.

TheoryExamination:
1. Questionpaperwillcompriseof6questions,eachcarrying20marks.
2. Totalfourquestionsneed tobe solved.
3. Q.1 will be compulsory, based on entire syllabus wherein sub questions of 2 to 5 marks will
beasked.
4. Remainingquestion willbe randomlyselectedfrom allthe modules.

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CourseCode CourseName Teachingscheme Creditassigned



BMDO8013 DepartmentOp
tionalCourse –
5ArtificialIntell
igence
inMedicine (Ab
breviatedas
AIM) Theory Pract. Tut. Theory Pract. Tut. Total



03


--


--


03


--


--


03




Course
Code

Course
Name ExaminationScheme
Theory
Term
work

Pract

Oral
Pract.
/Oral

Total Internal
Assessment
End
sem Dur
atio
n(hr
s) Test
1 Test
2 Avg.


BMDO801
3 Department
OptionalCo
urse –
5ArtificialI
ntelligencei
nMedicine
(AIM)


20


20


20


80


3


--


--


--


--

100



CourseCode CourseName Credits
BMDO8013 ArtificialIntelligencein Medicine 03
Course
Objectives • TounderstandbasicsofArtificial Intelligence, IntelligentAgents.
• Toconceptualizesearchtechniques.
• TounderstandexertsysteminArtificialIntelligence



Course
Outcomes Learner willbeableto…
• Developabasicunderstandingofintelligentagentsinartificialintelligence
• Chooseanappropriateproblem -solvingmethodandknowledgerepresentationtechnique
• Comprehendtheconceptofpropositionallogic
• UnderstandReasoningandKnowledgeRepresentation
• Develop basicunderstandingofexpertsystemandit‘sapplications
• LearnAIapplicationsinhealthcare

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

Module Contents Hours
1 Basicsof ArtificialIntelligent:
DefinitionandconceptofArtificialIntelligence,stagesofAI,intelligentagentsinartificial in
telligence, foundationsof AIandapplications,current trendsin AI 04
2 ProblemSpaces,andSearch:
Breadthfirstsearch,depthfirstsearchtechniques,iterativedeepening,bidirectionalsearch,
best firstsearch,Heuristicsearch,Hill Climbing,A* Search,
Problemreduction andgameplaying: Introduction,problemreduction,gameplaying,alp
habeta pruning,two -player perfectinformation games 10
3 Logicconcepts:
Introduction, propositional calculus, propositional logic, natural deduction
system,axiomaticsystem,semantictableausystemin proportionallogic,resolutionrefutati
onin proportionallogic, predicate logic 07
4 KnowledgeRepresentation:
Problems in representing knowledge, knowledge representation using
propositionaland predicate logic, logical consequences, syntax and semantics of an
expression,semanticTableau.
Forwardandbackwardreasoning.Proofmethods,substitutionandunification,conversion
to clausal form, normal forms, resolution, refutation, deduction,
theoremproving,inferencing, monotonicand non -monotonicreasoning. 08
5 Expert systemandapplications:
Introductionphasesinbuilding expertsystems,expertsystemversustraditionalsystems,
rule-based expert systems blackboard systems truth maintenance
systems,applicationofexpert systems 06
6 AIinHealthcare:
BenefitsofAIinmedicine,AIand Medicalvisualization,MedicalExpertsystem,Applying
AIto EHRData, ArtificialIntelligenceinMedicalImaging 04

Assessment:
InternalAssessment consistsof two testsout of which;one shouldbe compulsoryclasstest
(onminimum 02 Modules) and the other is either a class test or assignment on live problems
orcourseproject.

BooksRecommended:
TextBooks:

1 StuartJ.RussellandPeterNorvig," ArtificialIntelligence:AModernApproach ‖,
FourthEdition"Pearson Education,2020.
2 SarojKaushik,― ArtificialIntelligence ‖,Cengage Learning, Firstedition,2011
3 ItishaGuptaandGarima Nagpal, ―ArtificialIntelligenceandExpert
System ‖,LaxmiPublications,1stEdition 2018

ReferenceBooks:

1 NilsJ.Nilsson,PrinciplesofArtificial Intelligence,NarosaPublication.
2 Deepak Khemani,AFirstCourseinArtificial Intelligence,McGrawHill

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Publication
3 PatrickH.Winston,Artificial Intelligence,3rdedition, PearsonEducation.
4 ElaineRichandKevinKnight," ArtificialIntelligence ‖,ThirdEdition, McGraw
HillEducation,2017 .


TheoryExamination :
1. Questionpaperwillcompriseoftotal06questions,eachcarrying20marks.
2. Total04 questions needto be solved.
3. QuestionNo:01willbe compulsoryandbasedonentiresyllabus
4. Remainingquestions willberandomlyselected fromall themodulesdependingtheweightage.


UsefulLinks:
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 CourseName Teachingscheme Creditassigned


BMDO8021 Department
OptionalCou
rse –
6Biomedical
Microsystems
(Abbreviated
asBM) Theory Pract. Tut. Theory Pract. Tut. Total


03

--

--

03

--

--

03





Course
Code


CourseName ExaminationScheme
Theory Term
work Pract Oral Pract.
/Oral Total
Internal A
ssessment End
sem Duratio
n(hrs)
Test
1 Test
2 Avg.

BMDO8021 Department
OptionalCou
rse –
6Biomedical
Microsystems
(BM)

20

20

20

80

3

--

--

--

--

100




CourseCode CourseName Credits
BMDO8021 BiomedicalMicrosystems 03
Course
Objectives  Tounderstandvariousfabricationtechniquesfor MEMSdevices.
 Toapplytheknowledge ofMEMSinBiomedical field.
 TounderstandrecentadvancementsinBiomedicalEngineeringforasuccessfulcareerinthear
eaof nanotechnology.
Course
Outcomes Learnerwillbeableto…
 Understandbasicpropertyandselect appropriate materialforMEMSapplication 
 DevelopormodifytheMEMSprocessesfora simpleMEMSdevice
inordertoreducethefabrication time. 
 Understanddifferentmicrofabricationtechniquesandchooseappropriatetechnique 
 AnalyseMicrototalanalysissystemwithdesigningofitscomponents 
 DemonstrateworkingprinciplesofBioNano -
sensorsanddrugdeliverydevicesw ithtypesandfabrication 
 UnderstandpackagingtechniquesusedinMEMS 

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

Module Contents Hours
1. Introductiontominiaturization:
 DifferencebetweenMicroelectronicsandMEMs,BlockdiagramofMEMSandBIOM
EMS,examples.Introductionto generalisedprocesses used.
 Cleanroom:definition,classification,airflowsystem 
 Safetyin handlinghazardous materials incleanroom 
 ScalingLawsinMiniaturization 
 SubstratesandWafers:CZprocessandfloatzoneprocess,Wafertypes 
 Materials: Properties and applications of single crystal silic on, SiO2, Si3N4,
SiC,Polysilicon,Glass 
 Wafercleaningprocesses: RCA,Piranha 
 Positiveandnegativephotoresist,mask,materialpropertiesofPMMA,SU8 
 Differentprojectionsystems, 
 Surface characterization techniques: AFM, SEM, TEM,
Ellipsometer, Profilometer 06
2. MEMSFabricationProcesses
 Photolithography:Definition,steps,lightsources(UV,DUV,EUV)
 PVD:definition,types:Evaporation(ThermalandE -
beam)andSputtering(DCandRF), advantages,disadvantages, Material
propertiesof Al
 CVD:definition,reactionsteps,types:APCVD,LPCVD, PECVD,andHWCVD,adva
ntages, disadvantages
 Oxidation:Thermal
 Polymerscoatingtechniques:spinning,sprayingandelectrodeposition
 Doping: definition, types: Ion implantation and Diffusion,
advantages, disadvantages
 Etching:types:Dryetching(RIE,DRIE)andwetetching (isotropicandanisotropic),ad
vantages,disadvantages,specificetchants 07
3. MicrofabricationTechniques
 Bulkmicromachining:definition,advantagesanddisadvantages ,Examples:pressure
sensor, dissolved wafer process 
 Surfacemicromachining:definition,advantagesand disadvantagesExamples:pressu
resensor, cantilever 
 Nonpolysiliconsurfacemicromachining:SOIfabrication 
 LIGA:definition,processsteps,examples,advantagesanddisadvantages 
 X-raylithography:Synchrotronradiation,X -raymask
 Moldingtechniques:Injection,compression,hot embossing 
 Softlithography:Definition,SAMs,Types:MicroContactPrinting,Materialpropertie
sof PDMS, Gold, Conductingpolymers 
 Micro molding techniques: Replica molding, Microtransfer
molding, Micromoldingin capillaries and Solvent -assistedmicromolding 07
4. MICROTOTALANALYSISSYSTEMS(µTAS)
 Flow techniques in µ-fluidics: pressure driven force, electro -
osmosis, electrophoresis
 Micropump,microvalves:typesandfabrication
 Microchannels:Types andfabrication(SU8,glass,silicon) 07

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

 Separation techniques: capillary electropherosis,
electrochromatography, isoelectricfocusing
 Detectiontechniques:fluorescence,chemiluminiscence
5. MICRO/NANOBIOSENSORSANDDRUGDELIVERYDEVICES
 Biosensor:definition,blockdiagram 
 Classificationbasedonthebasisofdetection techniques:electric,magnetic,optical,the
rmal,mechanical, and chemical 
 Basicstepsinvolvedinthedevelopmentofbiosensors:surfacemodification,immobili
zation, integration with transducer 
 Design,fabrication ofcantilever forantibodydetection 
 Hypodermicneedles,tran sdermalpatches:disadvantages 
 Microneedles:solid,hollow,polymer,silicon(fabrication) 
 Nano particlesfordrugdelivery 06
6 MICROSYSTEMPACKAGING
 Packagingmaterials 
 Levelsofpackaging 
 ComparisonbetweenICandMEMSpackaging 
 Packagingtechnologies: Diepreparation, surfacebonding,wirebonding,sealing 
 Pressuresensorpackaging 06
Assessment:
Internal Assessment consists of two tests out of which, one should be compulsory class test
(onminimum 02 Modules) and the other is either a class test or assignment on live problem s or
courseproject.
BooksRecommended:
TextBooks:
1. MEMS&MICROSYSTEMSDesignandManufacture,Tai -RanHsu,TATAMcGraw -Hill.
2. FundamentalsofMicrofabrication,MarcMadou,CRCPress.
ReferenceBooks:
1. FundamentalsofBioMEMSandMedicalMicrodevices,StevenS.Saliterman,(SPIEPress Monogra
phVol. PM153 byWileyInterscience
2. MicrosystemTechnology‖,W.Menz,J.Mohr,0.Paul,WILEY -VCH,ISBN3.527 -29634 -4
3. ElectroMechanicalSystemDesign‖,JamesJ.Allen,Taylor&FrancisGroup,LLC,ISBN -0-8247 -
5824 -2, 2005
4. MICROSYSTEMDESIGN,StephenD.Senturia,KLUWERACADEMIC PUBLISHERS,eBookI
SBN: 0 -306-47601 -0
TheoryExamination :
1. Questionpaperwillcompriseoftotal06questions,eachcarrying20marks.
2. Total04 questionsneed tobe solved.
3. QuestionNo:01willbecompulsoryandbasedonentiresyllabuswhereinsub -questionsofmarkswill
be asked.
4. Remainingquestions will berandomlyselected fromall themodulesdependingthe weightage.

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Course
Code CourseName Teachingscheme Creditassigned

BMDO8022
MedicalDevices
Regulations(Ab
breviatedas
MDR) Theory Pract. Tut. Theory Pract. Tut. Total

03
--
--
03
--
--
03



Course
Code

Course
Name ExaminationScheme
Theory
Term
work
Prac
t

Oral
Pract.
/Oral
Tota
l Internal
Assessment
End
sem Dura
tion(
hrs) Test
1 Test
2 Avg.
BMDO802
2 MedicalD
evicesReg
ulations (
MDR)
20
20
20
80
03
--
--
--
--
100



CourseCode CourseName Credits
BMDO8022 MedicalDevicesRegulations 03
Course Ob
jectives
 Tofamiliarizethelearnerswiththeregulatoryaspectsofmedicaldevicesandinstruments.
 Tokeepthelearnersabreastwiththe technologicaldevelopmentsinthefieldofMedicaldevi
ces regulatoryaffairs.

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CourseO
utcomes Learnerwillbeableto:
 Discuss credibility & authorities of approvals, medical devices life cycle, risk
basedclassificationand risk based approach for regulatorycontrols.
 Explain principles of safety and effectiveness, quality management system,
Variousstandards (American, European, BIS), risk management, cyber security and
clinicalevaluation.
 Describetechnicaldocumentationrequiredby
regulators,essential requirementschecklist, risk management summary report,
manufacturing information, regulatedproductsubmissions and regulatorysubmission
repository.
 Highlight premarket phase like design controls, information management
duringpremarket phase, R&D planning st age, design & development process stage
andproductidentification &traceability.
 Performregulatorysubmissions,approvalsandregistration.
 Launch the product, do post market surveillance, look after product
obsolescence,overseequalitymanagement systemandregula torysystem&processes.

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

Module Contents Hours

1. Overview of regulatory framework for medical devices: Credibility
andauthority of approvals, medical devices life cycle, risk -based
classification,risk -based approach for regulatory controls. Introduction to
InternationalRegulatoryRequirements &DevicePathways.
07

2. Safety & Effectiveness: Principles of safety and effectiveness,
Qualitymanagementsystem,Standards,Riskmanagement,Cybersecurity,Cli
nicalevaluation.Classificationof BiomedicalInstruments,based onsafety
standards,ApproachtoBioethics
07

3. Technical Documentation: Technical documentation required by
regulators,Essential requirements checklist, Risk management summary
report,Manufacturinginformation,Regulated product submissions, Regulatory
submissionrepository
07

4. Premarket phase: Design controls, Information management
duringpremarketphase,R&Dplanningstage, Design
&developmentprocessstage,productidentification &traceability, Casestudy
06
5. Regulatory submissions,approvalsandregistration :Administrative
provisions,regulatorysubmissionandapproval,Internationalscenario 06

6. Post market phase: Product launch, continued regulatory compliance,
Postmarket surveillance, Product obsolescence, Quality management
system,Regulatorysystem,and processes. Typesofmedical device
audits.Medical
deviceComplianceAudit
06

InternalAssessment:
Internal Assessment consists of two tests out of which; one should be compulsory class test (on
minimum02Modules) and the other is eitheraclass test orassignment on liveproblems or courseproject.

BooksRecommended:
Textbooks:
1. Medicaldeviceregulatorypractices,ValTheisz,PANSatnfordPublishing
2. Handbook of Medical Device regulatory affairs in Asia, edited by Jack Wong and Raymond
KYTong
3. Medical Device Regulations: Global Overview and Guiding Principles, Michael Cheng,
WorldHealthOrganization.
ReferenceBooks:
1. DanielA.Vallero -
BiomedicalEthicsforEngineers_EthicsandDecisionMakinginBiomedicalandBiosystem
Engineering(Biomedical EngineeringSeries) -AcademicPress
2. Encyclopedia of Medical Devices and Instrumentation: John G. Webster. Vol. I, II, III, IV
(MarcelDekkarPub).
3. EthicsforBiomedicalEngineers,JongYongAbdiel
Foo,StephenJ.Wilson,AndrewP.Bradley,WinstonGwee, Dennis Kwok -WingTam(a uth.),
Springer -VerlagNewYork
TheoryExamination :
1. Questionpaperwillcompriseoftotal06questions,eachcarrying20marks.
2. Total04 questionsneed tobe solved.
3. QuestionNo:01willbecompulsoryandbasedonentiresyllabuswhereinsub -
questionsofmarkswillbeasked.
4. Remaining questions willbe randomlyselectedfrom allthemodules dependingthe weightage.

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Course
Code CourseName Teachingscheme Creditassigned


BMDO8023 Department
OptionalCou
rse –
6Ergonomics
(Abbreviated
asERG) Theory Pract. Tut. Theory Pract. Tut. Total

03
--
--
03
--
--
03





Course
Code


Course
Name ExaminationScheme
Theory Term
work Prac
t Oral Pract.
/Oral Total
Internal A
ssessment End
sem Duration
(hrs)
Test
1 Test
2 Avg.


BMDO8023 Departme
ntOptional
Course –6
Ergonomics
(ERG)

20

20

20

80

3

--

--

--

--
100


CourseCode CourseName Credits
BMDO8023 Ergonomics 03
Course
Objectives  Tounderstandvariousfabricationtechniquesfor MEMSdevices.
 Toapplytheknowledge ofMEMSinBiomedicalfield.
 Tounderstand recentadvancementsinBiomedicalEngineeringforasuccessfulcareerin
theareaof nanotechnology.
Course
Outcomes Learnerwillbeableto…
 Understandbasicpropertyandselect appropriate materialforMEMSapplication 
 DevelopormodifytheMEMSprocessesforasimpleMEMSdevicein ordertoreducethefabr
ication time. 
 Understanddifferentmicrofabricationtechniquesandchooseappropriatetechnique 
 AnalyseMicrototalanalysissystemwithdesigningofitscomponents 
 DemonstrateworkingprinciplesofBioNano -
sensorsanddrugdeliverydeviceswithtypesand fabrication 
 UnderstandpackagingtechniquesusedinMEMS 

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Module Contents Hours
1. IntroductiontoErgonomics
 DefinitionofErgonomicsanditsapplicationandoverview.
 Ergonomicsinsystemsdesign,andstepstoperformingataskanalysis.Inclasspractice p
erforming atask analysis. 08
2. DesignManMachineEnvironmentSystemDesign
 OverviewofHuman bodyandits subsystems.
 Understandingmusculoskeletalsystemanditsfunctionintermsofmanualactivities
 Understandingnervoussystem, humansensoryorgansand theirlimitations.
 BasicBiomechanicsanditsapplicationindesign 09
3. MuscleUseandAnthropometryandWorkspace
 Anthropometryandits application
 Issuesofcognition,perceptionandperformance.
 Studyof workpostureand itsimpact onhuman performance.
 Physicalenvironmentandtheirimpacton human performance
 Muscularworkincludingdynamicandstaticwork,nervouscontrolofmovement,skille
d work and waysto improvework efficiency.
 Useofanthropometricdatainergonomics.
 Principlesofworkspacedesign,includingseatedwork,standingwork,workreachesan
d workinghei ghts, theofficeenvironment andvisual work 10
4. OccupationalstressandMusculoskeletaldisorders;SafetyandhealthissuesCog
nitiveaspects of user -systeminteraction:
 Perception,informationprocessing,userbehaviour,errorandriskperception; 04
5. Principlesofhuman factorsinvisualcommunication
 Visualdisplayindifferentplanes -staticshape,size,fonttypeanddynamiccharactersof
display 04
6 Environmentalfactorsinfluencinghumanperformance
 Participatoryergonomics aspects 04
Assessment:
InternalAssessmentconsistsoftwotests outofwhich,oneshouldbecompulsoryclasstest(onminimum02Modules)
and the otheris either aclasstest or assignment onliveproblems or courseproject.

BooksRecommended:
TextBooks:
1. Bridger,R.,IntroductiontoErgonomics,3rdEd., CRCPress,Taylor &FrancisGroup,2009.
2. Sanders,M.,McCormick,E.,HumanFactorsinEngineeringandDesign,7thEd.,McGraw -
HillInternationalEditions: PsychologySeries, 2013
3. Wicknes,C.,Gordon,S.,Liu,Y.,andGordon -
Becker,S.,AnIntroductiontoHumanFactorsEngineering,Longman,New York, 2015
4. Chakrabarti,D.,Indian AnthropometricDimensionsforergonomicdesignpractice,NationalInstituteof
Design,Ahmedabad, 1997
5. Salvendy,G.(ed.),HandbookofHumanFactorsandergonomics,4thEd.,JohnWiley&Sons,Inc.,2012

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6. Dul,J.,Weerdmeester,B.,Ergonomicsforbeginners,aquickrefere nceguide,3rdEd.,CRCPress,Taylor
&FrancisGroup, 2008.

ReferenceBooks:
1. J.Dul,andB.Weerdmeester,Ergonomicsforbeginners,aquickreferenceguide,Taylor&Francis,1993.
2. E.Grandjean:Fittingthe tasktotheman,Taylor &FrancisLtd.1980.
3. J.Ansel,Visualergonomicsintheworkplac e,Taylor&Francis,London,1998
4. W.KarwowskiandW.S.Marras,TheOccupationalErgonomicshandbook,CRCPress,NewYork,1999.
5. M.S.SandersandE.J.McCormick,HumanFactorsinEngineeringandDesign,McGraw -Hill,Inc.,1993.
6. K.Kroemer,H.B.KroemerandK.E.Kroemer,Ergonomics -
HowtoDesignf orEasyandEfficiency,PrenticeHall Englewood Cliffs, NJ07632, 1994.

TheoryExamination :
5. Questionpaperwillcompriseoftotal06questions,eachcarrying20marks.
6. Total04 questionsneed tobe solved.
7. QuestionNo:01willbecompulsoryandbasedonentiresyllabuswherein sub-
questionsofmarkswillbeasked.
8. Remainingquestions will berandomlyselected fromall themodulesdependingthe weightage.

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Course
Code
CourseName Teaching scheme
(ContactHours)
CreditsAssigned

ILO8021 Project M
anagement Theory Pract./Tut. Theory Pract./Tut. Tota
l
3 -- 3 -- 3


Course
code

CourseName ExaminationScheme
Theory
Term
Work
Oral
Total InternalAssessment End
Sem.
Exam Exam
Duration
(inHrs) Test1 Test2 Avg
ILO7019 Development
Engineering 20 20 20 80 3 -- -- 100


CourseO
bjectives  Tofamiliarizethestudentswiththeuseofastructuredmethodology/approachforeach and
every unique project undertaken, including utilizing project
managementconcepts,tools and techniques.
 To appraise the students with the project management life cycle andmake
themknowledgeable aboutthevariousphasesfrom projectinitiation throughclosure.


Course
Outcomes Uponsuccessfulcompletionof thiscourse,thelearnerwillbeableto:
 Applyselectioncriteriaandselect anappropriate projectfromdifferent options.
 Writeworkbreak downstructureforaprojectanddevelopa schedulebasedonit.
 Identifyopportunitiesandthreatstotheprojectanddecideanapproachtodealwiththemstrate
gically.
 UseEarned valuetechniqueanddetermine&predictstatus ofthe project.
 Capturelessons learnedduringprojectphasesanddocumentthem forfuturereference

Module DetailedContents Hours


1 ProjectManagementFoundation:
Definition of a project, Project Vs Operations, Necessity of project
management,Tripleconstraints,Projectlife cycles(typical&
atypical)Projectphasesandstagegateprocess.Roleofprojectmanager,Negotiationsan
dresolvingconflicts, Project management in various organization structures, PM
knowledgeareasas per Project ManagementInstitute(PMI)

05


2 InitiatingProjects:
How to get a project started, selecting project strategically, Project
selectionmodels (Numeric /Scoring Models and Non -numeric models), Project
portfolioprocess, Project sponsor and creating charter; Project proposal.Effective
projectteam,Stagesofteamdevelopment&growt h(forming,storming,norming
&performing),teamdynamics.

06


3 ProjectPlanningandScheduling:
Work Breakdown structure (WBS) and linear responsibility chart, Interface; Co -
ordination and concurrent engineering, Projectcost estimation and budgeting,Top
down and bottoms up budgeting, Networking and Scheduling
techniques.PERT,CPM,GANTTchart,IntroductiontoProjectManagementInformat
ion
System(PMIS).

08

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4 PlanningProjects:
Crashingprojecttime,Resourceloadingandlevelling,Goldratt'scritical chain,Project
Stakeholders andCommunication plan
RiskManagementinprojects:Riskmanagementplanning,Riskidentificationandriskr
egister,Qualitativeandquantitativeriskassessment,Probabilityand
impactmatrix.Riskresponsestrategiesforpositiveandnegativerisks

06




5 5.1 ExecutingProjects:
Planningmonitoringandcontrollingcycle,Informationneedsandreporting,engaging
withallstakeholdersoftheprojects,Teammanagement,communicationand project
meetings
5.2 MonitoringandControllingProjects:
Earned Value Management techniques for measuring value of work
completed;Using milestones for measurement; change requests and scope creep,
Projectaudit
5.3 ProjectContracting
Projectprocurementmanagement,contractingand outsourcing,



08



6 6.1ProjectLeadership andEthics:
Introduction to project leadership, ethics in projects, Multicultural and
virtualprojects 6.2 Closing the Project:
Customer acceptance; Reasons of project termination, Various types of
projectterminations (Extinction, Addition, Integration, Starvation), Process of
projectt ermination,completingafinalreport;doingalessonslearnedanalysis;acknowl
edgingsuccessesandfailures;Projectmanagementtemplatesandother
resources;Managingwithoutauthority;Areasoffurtherstudy.


06

REFERENCES:
1. ProjectManagement:Amanagerialapproach,Jack Meredith&SamuelMantel,7thEdition,WileyI
ndia
2. AGuidetotheProjectManagementBodyofKnowledge(PMBOK®Guide),5thEd,ProjectManage
mentInstitutePA, USA
3. ProjectManagement,GidoClements,CengageLearning
4. ProjectManagement,Gopalan,WileyIndia
5. ProjectManagement,Dennis Lock,9thEdition,GowerPublishingEngland

Assessment:
InternalAssessmentfor20marks:
Consisting TwoCompulsoryClassTests
Firsttestbasedonapproximately40%ofcontentsandsecondtestbasedonremainingcontents(appro
ximately40%but excludingcontents covered in TestI)

EndSemesterExamination:
Weightageofeachmoduleinendsemesterexaminationwillbeproportionaltonumberofrespectivelectur
ehoursmentioned in the curriculum.
1. Questionpaperwillcompriseoftotal six questions ,eachcarrying20marks
2. Question1 willbe compulsory andshould cover maximumcontentsofthecurriculum
3. Remainingquestionswillbemixedinnature (forexampleifQ.2haspart(a)frommodule3
then,part (b)will befrom anymoduleotherthan module 3)
4. Only Fourquestionsneed to besolved

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23


Course
Code
CourseName Teaching
scheme
(ContactHours)
CreditsAssigned

ILO8022 Finance M
anagement Theory Pract./Tut. Theory Pract./Tut. Tota
l
3 -- 3 -- 3


Course
code

CourseName ExaminationScheme
Theory
Term
Work
Oral
Total InternalAssessment End
Sem.
Exam Exam
Duration
(inHrs) Test1 Test2 Avg
ILO8022 Finance
Management 20 20 20 80 3 -- -- 100


CourseO
bjectives  Tofamiliarizethestudentswiththeuseofastructuredmethodology/approachforeach and
every unique project undertaken, including utilizing project
managementconcepts, tools and techniques.
 To appraise the students with the project management life cycle andmake
themknowledgeable aboutthevariousphasesfrom projectinitiation throughclosure.

Course
Outcomes Uponsuccessfulcompletionof thiscourse,thelearnerwillbeableto:
 UnderstandIndianfinancesystem andcorporatefinance
 Takeinvestment,finance aswellasdividenddecisions

Module DetailedContents Hours




1 OverviewofIndianFinancialSystem: Characteristics,ComponentsandFunctionsof
Financial System.
FinancialInstruments: Meaning, Characteristics and Classification
ofBasicFinancial Instruments — Equity Shares, Preference Shares, Bonds -
Debentures,CertificatesofDeposit, and TreasuryBills.
FinancialMarkets: Meaning,CharacteristicsandClassificationofFinancialMarkets
— Capital Ma rket, Money Market and Foreign Currency Market Financial
Institutions: Meaning, Characteristics and Classification of
FinancialInstitutions —CommercialBanks,Investment -MerchantBanksandStock
Exchanges



06



2 ConceptsofReturnsandRisks: Measurementof HistoricalReturnsandExpectedRet
urnsofaSingleSecurityandaTwo -securityPortfolio;Measurement of Historical Risk
and Expected Risk of a Single Security and aTwo -securityPortfolio.
TimeValueofMoney: FutureValueofaLumpSum,OrdinaryAnnuity,and
Annuity Due; Present Value of a Lump Sum, Ordinary Annuity, and
AnnuityDue;Continuous Compoundingand Continuous Discounting.


06

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3 Overview of Corporate Finance: Objectives of Corporate Finance; Functions
ofCorporateFinance —
InvestmentDecision,Financing Decision,andDividendDecision.
Financial Ratio Analysis: Overview of Financial Statements —Balance
Sheet,Profit and Loss Account, and Cash Flow Statement; Purpose of Financial
RatioAnalysis;LiquidityRatios;EfficiencyorActivityRatios;ProfitabilityRatios;
Capi talStructureRatios;StockMarketRatios; LimitationsofRatioAnalysis.


09





4 Capital Budgeting: Meaning and Importance of Capital Budgeting; Inputs
forCapital Budgeting Decisions; Investment Appraisal Criterion —Accounting
RateofReturn,
PaybackPeriod, DiscountedPaybackPeriod,NetPresentValue(NPV),Prof
itability
Index, InternalRateofReturn(IRR),andModified
InternalRateofReturn(MIRR)
WorkingCapitalManagement: ConceptsofMeaningWorkingCapital;Importance
ofWorkingCapitalManagement;FactorsAffectinganEntity‘s WorkingCapitalNeeds
;EstimationofWorkingCapitalRequirements;Management of Inventories;
Management of Receivables; and Management ofCashand Marketable Securities.




10



5 SourcesofFinance: LongTermSources —
Equity,Debt,andHybrids;MezzanineFinance;Sources ofShortTermFinance —
TradeCredit,BankFinance,Commercial Paper; Project Finance.
Capital Structure: Factors Affecting an Entity‘s Capital Structure; Overview
ofCapitalStructureTheoriesandApproaches —
NetIncomeApproach,NetOperatingIncomeApproach;TraditionalAppro ach,andMo
digliani -MillerApproach.Relation between
CapitalStructureandCorporateValue;ConceptofOptimalCapital Structure


05


06 DividendPolicy: MeaningandImportanceofDividendPolicy;FactorsAffectingan
Entity‘sDividendDecision;OverviewofDividendPolicy TheoriesandApproaches —
Gordon‘sApproach,Walter‘sApproach,andModigliani -MillerApproach

03





REFERENCES:
1. FundamentalsofFinancialManagement,13thEdition(2015)byEugeneF.BrighamandJoelF.
Houston; Publisher: CengagePublications, New Delhi.
2. Analysisfor FinancialManagement,10thEdition(2013)byRobertC.Higgins;Publishers:McGr
aw HillEducation, NewDelhi.
3. IndianFinancialSystem,9thEdition(2015)byM.Y.Khan;Publisher:McGrawHillEducation,N
ewDelhi.
4. FinancialManagement,11thEdition(2015)byI.M.Pandey;Publisher:S.Chand(G /L)&Compa
nyLimited, NewDelhi.

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Assessment :

InternalAssessmentfor20marks:
Consisting TwoCompulsoryClassTests
Firsttestbasedonapproximately40%ofcontentsandsecondtestbasedonremainingcontents(app
roximately40%butexcludingcontents covered inTestI)

EndSemesterExamination:
Weightageofeachmoduleinendsemesterexaminationwillbeproportionaltonumberofrespectivelectur
ehoursmentioned in the curriculum.
1. Questionpaperwillcompriseoftotal six questions ,eachcarrying20marks
2. Question1 willbe compulsory andshould covermaximumcontentsofthecurriculum
3. Remainingquestionswillbemixedinnature (forexampleifQ.2haspart(a)frommodule3
then, part (b) will be from anymoduleotherthan module 3)
4. Only Fourquestions needto be solved .

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Course
Code
CourseName Teaching scheme
(ContactHours)
CreditsAssigned

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


Course
code

CourseName ExaminationScheme
Theory
Term
Work
Oral
Total Internal Assessment End
Sem.
Exam ExamDu
ration
(inHrs) Test1 Test2 Avg

ILO8023 Entrepreneurshi
p
Developmentand
Management
20
20
20
80
3
--
--
100

CourseO
bjectives  Toacquaintwithentrepreneurshipandmanagementof business
 Understand Indian environmentforentrepreneurship
 Ideaof EDP, MSME

Course
Outcomes Uponsuccessfulcompletionof thiscourse,thelearnerwillbeableto:
 Understandthe conceptofbusinessplanandownerships
 Interpretkeyregulationsandlegalaspectsofentrepreneurshipin India
 Understand government policiesforentrepreneurs

Module DetailedContents Hours



1 OverviewofEntrepreneurship: Definitions,RolesandFunctions/ValuesofEntrepre
neurship,HistoryofEntrepreneurshipDevelopment,RoleofEntrepreneurshipintheN
ationalEconomy,Functionsofan Entrepreneur,EntrepreneurshipandForms of
Business Ownership
RoleofMoneyand CapitalMarkets
inEntrepreneurialDevelopment:Contribution of
GovernmentAgenciesin SourcinginformationforEntrepreneurship


04



2 Business Plans and Importance of Capital to Entrepreneurship:
PreliminaryandMarketingPlans,ManagementandPersonnel,Start -
upCostsandFinancingaswell as
ProjectedFinancialStatements,LegalSection,Insurance,SuppliersandRisks,Assump
tions and Conclusion, Capital a nd its Importance to the
Entrepreneur EntrepreneurshipandBusinessDevelopment: StartingaNewBusines
s,BuyinganExistingBusiness,NewProductDevelopment,BusinessGrowthand
theEntrepreneur LawanditsRelevancetoBusinessOperations


09

3 Women‘sEntrepreneurship Development,Socialentrepreneurship -roleandneed,
EDPcell,roleofsustainabilityandsustainabledevelopmentforSMEs,casestudies,exerc
ises
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
ofMSME,roleandresponsibilitiesofvariousgovernmentorganisations,departments,
banks etc., Role of State governments in terms of infrastructuredevelopmentsand
support etc.,
Publicprivate partnerships, N ational Skill development Mission, Credit
GuaranteeFund,PMEGP,discussions,groupexercisesetc.


08

5 Effective Management of Business: Issues and problems faced by micro
andsmallenterprisesandeffectivemanagementofMandSenterprises(riskmanagemen
t,creditavailability,technologyinnovation,supplychain
management,linkage withlargeindustries),exercises,e -Marketing
08

6 Achieving Success In The Small Business: Stages of the small business
lifecycle, four types of firm -level growth strategies, Options – harvesting or
closingsmallbusiness Critical Success factors ofsmallbusiness
05

REFERENCES:
1. PoornimaCharantimath,Entrepreneurshipdevelopment -SmallBusinessEnterprise,Pearson
2. EducationRobertDHisrich,MichaelPPeters,DeanAShapherd,Entrepreneurship,latest edition
,TheMcGrawHill Company
3. DrTNChhabra,EntrepreneurshipDevelopment,SunIndiaPublications,NewDelhi
4. DrCNPrasad,SmallandMediumEnterprisesinGlobalPerspective,NewcenturyPublications,N
ew Delhi
5. VasantDesai,Entrepreneurialdevelopmentandmanagement,Himalaya PublishingHouse
6. MaddhurimaLall,ShikahSahai,Entrepreneurship,ExcelBooks
7. RashmiBansal,STAYhungrySTAY foolish,CIIE, IIMAhmedabad
8. LawandPracticerelatingtoMicro,SmallandMediumenterprises,TaxmannPublicationLtd.
9. Kurakto,Entrepreneurship -PrinciplesandPractices, ThomsonPublication
10. Laghu UdyogSamachar
11. www.msme.gov.in
12. www.dcmesme.gov.in
13. www.msmetraining.gov.in

Assessment :
InternalAss essmentfor20marks:
Consisting TwoCompulsoryClassTests
Firsttestbasedonapproximately40%ofcontentsandsecondtestbasedonremainingcontents(appro
ximately40%but excludingcontents covered in TestI)

EndSemesterExamination:
Weightageofeachmoduleinendsemester examinationwillbeproportionaltonumberofrespectivelect
urehoursmentioned in the curriculum.
1. Questionpaperwillcompriseoftotal six questions ,eachcarrying20marks
2. Question1 willbe compulsory andshould covermaximumcontentsofthecurriculum
3. Remainingquestionswillbemixed innature (forexampleifQ.2haspart(a)frommodule3
then,part (b)will befrom anymoduleotherthan module 3)

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

4. Only Fourquestions needto be solved .
Course
Code
CourseName Teaching scheme
(Contact
Hours)
CreditsAssigned

ILO8024 HumanReso
urce Manage
ment Theory Pract./Tut. Theory Pract./Tut. Tota
l
3 -- 3 -- 3


Course
code

CourseName ExaminationScheme
Theory
Term
Work
Oral
Total InternalAssessment End
Sem.
Exam ExamDu
ration
(inHrs) Test1 Test2 Avg

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


CourseO
bjectives  To introduce the students with basic concepts, techniques and practices of the
humanresourcemanagement
 To provide opportunity of learning Human resource management (HRM)
processes,related with the functions, and challenges in the emerging perspective of
today‘sorganizations
 To familiarize the students about the latest developments, trends & different
aspectsofHRM
 Toacquaintthestudentwiththeimportanceofinter -personal&inter -
groupbehaviouralskillsi nanorganizationalsettingrequiredforfuturestableengineers,
leadersandmanagers


Course
Outcomes Uponsuccessfulcompletionof thiscourse,thelearnerwillbeableto:
 Understandtheconcepts,aspects,techniquesandpracticesofthehumanresourcemanag
ement.
 Understandthe Humanresourcemanagement(HRM)processes,functions,changesand
challengesintoday‘s emergingorganizationalperspective.
 Gainknowledge aboutthelatestdevelopmentsandtrendsinHRM.
 Apply the knowledge of behavioural skills learnt and integrate it with in
interpersonal and intergroup environmentemerging as future stable engineers
andmanagers.

Module DetailedContents Hours



1 IntroductiontoHR
 HumanResourceManagement -Concept,ScopeandImportance,Interdisciplinary
Approach Relationship with other Sciences, Competencies ofHRManager,HRM
functions
 Human resource development (HRD): changing role of HRM – Human
resourcePlanning,Technological
change,Restructuringandrightsizing,Empowerment,
TQM,Managingethicalissues


05

2 OrganizationalBehaviour(OB)
• IntroductiontoOBOrigin, NatureandScopeofOrganizationalBehaviour,Relevanceto
Organizational Effectivenessand Contemporaryissues
07

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• Personality: Meaning and Determinants of Personality, Personality
development,PersonalityTypes,AssessmentofPersonalityTraitsfor IncreasingSelfA
wareness
• Perception: Attitude and Value, Effect of perception onIndividual Decision -
making,Attitude andBehaviour
• Motivation:TheoriesofMotivationandtheirApplicationsforBehaviouralChange
(Maslow, Herzberg,McGregor);
• GroupBehaviourandGroup Dynamics:Workgroupsformalandinformalgroups and
stages of group development, Team Effectiveness: High performingteams,Team
Roles, cross functional and self -directed team.
Casestudy



3 OrganizationalStructure&Design
• Structure,size,technology,Environment oforganization;OrganizationalRoles&conf
licts: Concept ofroles; roledynamics;roleconflicts andstress.
• Leadership:Conceptsandskillsofleadership,Leadershipandmanagerialroles,Leader
shipstyles andcontemporaryissues in leadership.
• Power and Politics: Sources and uses of power; Politics at workplace, Tactics
andstrategies.


06


4 HumanresourcePlanning
• RecruitmentandSelectionprocess,Job -enrichment,Empowerment –
JobSatisfaction,employeemorale
• PerformanceAppraisalSystems:Traditional&modernmethods,Performance Counse
lling,Career Planning
Training&Development:IdentificationofTrainingNeeds,TrainingMethods 05



5 EmergingTrendsin HR
• Organizational development; Business Process Re -engineering (BPR), BPR as
atoolfor organizationaldevelopment,managingprocesses &
transformationinHR.Organizational Change, Culture, Environment
• Cross Cultural Leadership and Decision Making : Cross Cultural
Communicationanddiversityatwork ,Causesofdiversity,managingdiversitywithspe
cialreference tohandicapped,womenandageingpeople, intra c ompany
culturaldifferencein employeemotivation


06



6 HR & MIS: Need, purpose, objective and role of information system in
HR,ApplicationsinHRDinvariousindustries(e.g.manufacturingR&D,PublicTranspo
rt,Hospitals, Hotels and serviceindustries
Strategic HRM: RoleofStrategicHRMinthemodernbusinessworld,ConceptofStrateg
y,StrategicManagementProcess,ApproachestoStrategicDecisionMaking;StrategicIn
tent–
CorporateMission,Vision,ObjectivesandGoals LaborLaws&IndustrialRelations:
EvolutionofIR,IRissuesinorganizations,Ov erviewofLaborLawsinIndia;IndustrialDi
sputesAct,TradeUnionsAct,
ShopsandEstablishmentsAct


10
REFERENCES:
1. StephenRobbins,OrganizationalBehavior,16th Ed,2013
2. VS P Rao, HumanResourceManagement,3rdEd, 2010,Excel publishing
3. Aswathapa,Humanresourcemanagement: Text &cases,6th edition, 2011
4. C.B.MamoriaandSVGankar,DynamicsofIndustrialRelationsinIndia,15thEd,2015,Himalaya
Publishing, 15thedition, 2015
5. P.SubbaRao,EssentialsofHumanResource
managementandIndustrialrelations,5thEd,2013,HimalayaPublishing

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

6. LaurieMullins,Management&OrganizationalBehavior,2016,PearsonPublications

Assessment :

InternalAssessmentfor20marks:
Consisting TwoCompulsoryClassTests
Firsttestbasedonapproximately40%ofcontentsandsecondtestbasedonremainingcontents (appro
ximately40%but excludingcontents covered in TestI)

EndSemesterExamination:
Weightageofeachmoduleinendsemesterexaminationwillbeproportionaltonumberofrespectivelecture
hoursmentioned in the curriculum.
1. Questionpaperwillcompriseoftotal six questions ,eachcarrying20marks
2. Question1 willbe compulsory andshould cover maximumcontentsofthecurriculum
3. Remainingquestionswillbemixedinnature (forexampleifQ.2haspart(a)frommodule
3,thenpart (b)will, befrom anymoduleotherthan module 3)
4. Only Fourquestions needto be solved .

Page 99

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

Course
Code
CourseName Teaching scheme
(ContactHours)
CreditsAssigned


ILO8025 ProfessionalEthi
cs and Corporate
SocialResponsibi
lity
(CSR) Theory Pract./Tut. Theory Pract./Tut. Tota
l

3
--
3
--
3


Course
code

CourseName ExaminationScheme
Theory
Term
Work
Oral
Total InternalAssessment End
Sem.
Exam ExamDu
ration
(inHrs) Test1 Test2 Avg


ILO8025 ProfessionalEthi
cs and Corporate
SocialResponsibi
lity
(CSR)

20

20

20

80

3

--

--

100

Course O
bjectives  Tounderstandprofessionalethicsinbusiness
 Torecognizedcorporate socialresponsibility


Course
Outcomes Uponsuccessfulcompletionof thiscourse,thelearnerwillbeableto:
 Understandrightsanddutiesofbusiness
 Distinguishdifferentaspects ofcorporate socialresponsibility
 Demonstrateprofessionalethics
 Understandlegalaspectsofcorporatesocialresponsibility

Module DetailedContents Hours

1 ProfessionalEthicsandBusiness: TheNatureof BusinessEthics;Ethical Issuesin
Business;MoralResponsibilityandBlame; Utilitarianism:WeighingSocial
CostsandBenefits; Rights andDuties ofBusiness
04


2 Professional Ethics in the Marketplace: Perfect Competition;
MonopolyCompetition; Oligopolistic Competition; Oligopolies and Public
Policy Professional Ethics and the Environment: Dimensions of
Pollution andResource
Depletion;EthicsofPollutionControl;
EthicsofConservingDepletableResources

08


3 ProfessionalEthicsofConsumerProtection: MarketsandConsumerProt
ection;
ContractViewofBusiness Firm‘sDutiestoConsumers;DueCareTheory;AdvertisingEt
hics; ConsumerPrivacy
ProfessionalEthicsofJobDiscrimination: NatureofJobDiscrimination;ExtentofDis
crimination;Reservation ofJobs.

06

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4 IntroductiontoCorporateSocialResponsibility: PotentialBusinessBenefits —
Triplebottomline,Humanresources,Riskmanagement,Supplierrelations; Criticisms
and concerns —Nature of business; Motives; Misdirection.Trajectoryof
CorporateSocial ResponsibilityinIndia
05

5 Corporate Social Responsibility: Articu lation of Gandhian
TrusteeshipCorporateSocialResponsibilityandSmallandMediumEnterprises(SMEs
)inIndia,CorporateSocialResponsibilityandPublic -PrivatePartnership(PPP)in
India
08

6 CorporateSocialResponsibilityinGlobalizingIndia: CorporateSocial Responsibil
ity Voluntary Guidelines, 2009 issued by the Ministry of
CorporateAffairs,GovernmentofIndia,LegalAspectsofCorporateSocialResponsibil
ity—CompaniesAct,2013.
08

REFERENCES:
1. BusinessEthics:TextsandCasesfromtheIndianPerspective(2013)byAnandaDas Gupta;Publisher
:Springer.
2. CorporateSocialResponsibility:ReadingsandCasesinaGlobalContext(2007)byAndrewCrane,D
irkMatten,LauraSpence;Publisher: Routledge.
3. BusinessEthics:ConceptsandCases,7thEdition(2011)byManuelG.Velasquez;Pearson,NewDel
hi.
4. CorporateSocial Responsibility inIndia(2015)by BidyutChakrabarty,Routledge,NewDelhi.

Assessment :

InternalAssessmentfor20marks:
Consisting TwoCompulsoryClassTests
Firsttestbasedonapproximately40%ofcontentsandsecondtestbasedonremainingcontents(appro
ximately40%but excluding contents covered in TestI)

EndSemesterExamination:
Weightageofeachmoduleinendsemesterexaminationwillbeproportionaltonumberofrespectivelectur
ehoursmentioned in the curriculum.
1. Questionpaperwillcompriseoftotal six questions ,eachcarrying20marks
2. Question1 willbecompulsory andshould cover maximumcontentsofthecurriculum
3. Remainingquestionswillbemixedinnature (forexampleifQ.2haspart(a)frommodule3
then,part (b)will befrom anymoduleotherthan module 3)
4. Only Fourquestions needto be solved .

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

Course
Code
CourseName Teaching scheme
(ContactHours)
CreditsAssigned

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


Course
code

CourseName ExaminationScheme
Theory
Term
Work
Oral
Total InternalAssessment End
Sem.
Exam Exam
Duration
(inHrs) Test1 Test2 Avg
ILO8026 Research
Methodology 20 20 20 80 3 -- -- 100

CourseO
bjectives  TounderstandResearch andResearchProcess
 Toacquaintstudentswithidentifyingproblemsforresearchanddevelopresearchstrateg
ies
 To familiarizestudentswiththetechniquesof datacollection,analysisofdata
andinterpretation


Course
Outcomes Uponsuccessfulcompletionof thiscourse,thelearnerwillbeableto:
 Prepareapreliminaryresearchdesignforprojectsintheirsubjectmatterareas
 Accuratelycollect, analyzeandreportdata
 Presentcomplex dataorsituationsclearly
 Reviewandanalyzeresearchfindings

Module DetailedContents Hours



01 IntroductionandBasicResearchConcepts
1.1 Research –
Definition;ConceptofConstruct,Postulate,Proposition,Thesis,Hypothesis,Law,
Principle. Research methods vsMethodology
1.2 NeedofResearchinBusinessandSocialSciences
1.3 ObjectivesofResearch
1.4 Issues andProblemsinResearch
1.5 CharacteristicsofResearch:Systematic,Valid,Verifiable,EmpiricalandCrit
ical


09



02 TypesofResearch
2.1. BasicResearch
2.2. AppliedResearch
2.3. DescriptiveResearch
2.4. Analytical Research
2.5. EmpiricalResearch
2.6QualitativeandQuantitativeApproaches


07


03 ResearchDesignandSampleDesign
3.1 ResearchDesign –Meaning,TypesandSignificance
3.2 SampleDesign –MeaningandSignificance
Essentialsofagood samplingStagesin
SampleDesignSamplingmethods/techniquesSamplingErrors

07

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23







04 Research Methodology
4.1MeaningofResearchMethodology
4.2.StagesinScientificResearchPr
ocess:
a. IdentificationandSelectionofResearchProblem
b. Formulationof ResearchProblem
c. Reviewof Literature
d. FormulationofHypothesis
e. Formulationofresearch Design
f. SampleDesign
g. DataCollection
h. DataAnalysis
i. HypothesistestingandInterpretationofData
j. PreparationofResearchReport





08

05 FormulatingResearchProblem
5.1Considerations:Relevance,Interest,DataAvailability,Choiceofdata,Analysisof
data,Generalization andInterpretationofanalysis
04

06 OutcomeofResearch
6.1 Preparationofthe reportonconclusionreached
6.2 ValidityTesting&EthicalIssues
6.3 SuggestionsandRecommendation
04

REFERENCES:

1. Dawson,Catherine,2002,PracticalResearchMethods,NewDelhi,UBSPublishersDistributors
.
2. Kothari,C.R.,1985,ResearchMethodology -
MethodsandTechniques,NewDelhi,WileyEasternLimited.
3. Kumar,Ranjit,2005,ResearchMethodology -AStep -by-
StepGuideforBeginners, (2nded),Singapore, Pearson Education
Assessment :

InternalAssessmentfor20marks:
Consisting TwoCompulsoryClassTests
Firsttestbasedonapproximately40%ofcontentsandsecondtestbasedonremainingcontents(appro
ximately40%but excludingcontents covered in TestI)

EndSe mesterExamination:
Weightageofeachmoduleinendsemesterexaminationwillbeproportionaltonumberofrespectivelectur
ehoursmentioned in the curriculum.
1. Questionpaperwillcompriseoftotal six questions ,eachcarrying20marks
2. Question1 willbe compulsory andshould cover maximu mcontentsofthecurriculum
3. Remaining questions will be mixed in nature (for example if Q.2 has part (a)
frommodule3 then part (b) will be from anymoduleotherthanmodule 3)
4. Only Fourquestions needto be solved .

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

Course
Code
CourseName Teaching scheme
(ContactHours)
CreditsAssigned

ILO8027 IPR
andPaten
ting Theory Pract./Tut. Theory Pract./Tut. Tota
l
3 -- 3 -- 3


Course
code

CourseName ExaminationScheme
Theory
Term
Work
Oral
Total InternalAssessment End
Sem.
Exam Exam
Duration
(inHrs) Test1 Test2 Avg
ILO8027 IPRand
Patenting 20 20 20 80 3 -- -- 100

CourseO
bjectives  Tounderstandintellectualpropertyrightsprotectionsystem
 TopromotetheknowledgeofIntellectualPropertyLawsofIndiaaswellasInternationaltr
eatyprocedures
 Toget acquaintancewithPatentsearchandpatentfilingprocedureandapplications


Course
Outcomes Uponsuccessfulcompletionof thiscourse,thelearnerwillbeableto:
 understand IntellectualPropertyassets
 assistindividuals andorganizations incapacitybuilding
 workfor development,promotion,protection,compliance,andenforcementofIntellect
ualPropertyandPatenting

Module DetailedContents Hours



01 Introduction to Intellectual Property Rights (IPR) :Meaning of IPR,
DifferentcategoryofIPRinstruments -
Patents,Trademarks, Copyrights,IndustrialDesigns,Plantvarietyprotection,Geograp
hicalindications,Transferoftechnologyetc.
Importance of IPR in Modern Global Economic Environment: Theories
ofIPR,
Philosophicalaspectsof IPRlaws,NeedforIPR, IPRasaninstrumentof
development


05



02 EnforcementofIntellectualPropertyRights: Introduction,Magnitudeofpro
blem,
Factorsthatcreateandsustaincounterfeiting/piracy,Internationalagreements,Internati
onalorganizations(e.g.WIPO,WTO) activeinIPRenforcement
Indian Scenario of IPR: Introduction, History of IPR in India, Overview of
IPlaws in India, Indian IPR, Administrative Machinery, Major international
treatiessigned by India, Procedure for submitting patent and Enforcement of IPR
atnationallevel etc.


07
03 EmergingIssuesinIPR: Challengesfor IPindigitaleconomy,e -commerce,
humangenome, biodiversityandtraditional knowledgeetc. 05

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04 Basics of Patents: Definition of Patents, Conditions of patentability,
Patentableandnon -
patentableinventions,Typesofpatentapplications(e.g. Patentofaddition etc.),
Process Patent and Product Patent, Precautions while
patenting,PatentspecificationPatentclaims,Disclosuresandnon -
disclosures,Patentrights
andinfringement,Method ofgettingapatent

07

05 PatentRules: Indianpatentact,European scenario,USscenario,Australiascenario,Ja
panscenario,Chinesescenario,MultilateraltreatieswhereIndiaisa
member(TRIPSagreement,Parisconventionetc.)
08


06 Procedure for Filing a Patent (National and International): Legislation
andSalientFeatures,Patent Search,DraftingandFilingPatentApplications,Processing
of patent,
PatentLitigation,PatentPublication,Timeframeandcost,Patent
Licensing,PatentInfringement
Patentdatabases: Importantwebsites,Searchinginternationaldatabases

07


REFERENCEBOOKS:
1. RajkumarS. Adukia,2007,AHandbookonLawsRelatingtoIntellectualPropertyRightsinIndia,
The Instituteof Chartered AccountantsofIndia
2. KeaylaBK,Patentsystemandrelatedissuesataglance,PublishedbyNationalWorkingGroupon
PatentLaws
3. TSengupta,2011, IntellectualPropertyLawinIndia, KluwerLaw International
4. TzenWongandGrahamDutfield,2010,IntellectualPropertyandHumanDevelopment:CurrentTre
ndsand FutureScenario, CambridgeUniversityPress
5. Cornish,WilliamRodolph&Llewelyn,David.2010,IntellectualProperty:Patents,Copyrights,Tra
deMarksandAllied R ight, 7th Edition, Sweet &Maxwell
6. LousHarns,2012,TheenforcementofIntellectualPropertyRights:ACaseBook,3rdEdition,WIPO
7. PrabhuddhaGanguli,2012,IntellectualPropertyRights,1stEdition,TMH
8. RRadhaKrishnan&SBalasubramanian,2012,IntellectualPropertyRights,1st Edition,ExcelBook
s
9. MAshokKumarandmohdIqbalAli,2 -
11,IntellectualPropertyRights,2ndEdition,SerialPublications
10. KompalBansalandPraishitBansal,2012,FundamentalsofIPRforEngineers,1stEdition,BSPublic
ations
11. EntrepreneurshipDevelopmentandIPRUnit,BITSPilani,2007,AMa nualonIntellectualProperty
Rights,
12. MathewYMaa,2009,FundamentalsofPatentingandLicensingforScientistsandEngineers,World
ScientificPublishingCompany
13. NSRathore,SMMathur,PritiMathur,Anshul
Rathi ,IPR:Drafting,InterpretationofPatentSpecificationsand Claims , NewInd ia
PublishingAgency
14. VivienIrish,2005,IntellectualPropertyRightsforEngineers, IET
15. HowardBRockman,2004,IntellectualPropertyLawforEngineersandscientists,Wiley -IEEEPress

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Assessment :

InternalAssessmentfor20marks:
Consisting TwoCompulsory ClassTests
Firsttestbasedonapproximately40%ofcontentsandsecondtestbasedonremainingcontents(appro
ximately40%but excludingcontents covered in TestI)

EndSemesterExamination:
Weightageofeachmoduleinendsemesterexaminationwillbeproportionaltonumberofrespectivel ecture
hoursmentioned in the curriculum.
1. Questionpaperwillcompriseoftotal six questions ,eachcarrying20marks
2. Question1 willbe compulsory andshould cover maximumcontentsofthecurriculum
3. Remainingquestionswillbemixedinnature (forexampleifQ.2haspart(a)frommodule3
then,part (b)will befrom anymoduleotherthan module 3)
4. Only Fourquestions needto be solved .

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

Course
Code
CourseName Teaching scheme
(ContactHours)
CreditsAssigned

ILO8028 Digital
BusinessMana
gement Theory Pract./Tut. Theory Pract./Tut. Tota
l
3 -- 3 -- 3


Course
code

CourseName ExaminationScheme
Theory
Term
Work
Oral
Total InternalAssessment End
Sem.
Exam Exam
Duration
(inHrs) Test1 Test2 Avg
ILO8028 DigitalBusiness
Management 20 20 20 80 3 -- -- 100

Course O
bjectives  Tofamiliarizewithdigitalbusinessconcept
 ToacquaintwithE -commerce
 TogiveinsightsintoE -businessanditsstrategies

Course
Outcomes Uponsuccessfulcompletionof thiscourse,thelearnerwillbeableto:
 Identifydriversofdigitalbusiness
 Illustratevarious approachesandtechniques forE -businessandmanagement
 PrepareE -businessplan

Module Detailedcontent Hours


1 IntroductiontoDigital Business -
Introduction,Backgroundandcurrentstatus,E -marketplaces,structures,mechanisms,
economics and impacts, Difference between physical economy
anddigitaleconomy.
Driversofdigitalbusiness -
BigData&Analytics,Mobile,CloudComputing,Socialmedia,BYOD,
andInternetofThings(digitally
intelligentmachines/services),Opportunities
andChallengesinDigital Business

09





2 Overviewof E-Commerce
E-Commerce -Meaning,Retailingine -commerce -
productsandservices,consumerbehavior, market researchand advertisement
B2B-E-commerce -selling and buying in private e -markets, public B2B
exchangesand support services, e -supply chains, Collaborative Comm erce,Intra
businessECand Corporate portals
Other E -C models and applications, innovative EC System -From E -
governmentandlearningto C2C, mobilecommerceand pervasive computing
EC Strategy andImplementation -EC strategy and global EC, Economics
andJustification ofEC,UsingAffiliatemarketingtopromoteyoure -
commercebusiness,LaunchingasuccessfulonlinebusinessandECproject,Legal,Ethi
cs
andSocietalimpactsofEC




06

3 Digital Business Support services :ERP as e –business backbone,
knowledgeTopeApps,Information and referral system
ApplicationDevelopment: BuildingDigitalbusinessApplicationsand
infrastructure
06

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4 Managing E -Business -Managing Knowledge,Management skills for e -
business,managingRisksine –business,SecurityThreatstoe -business -
Security Overview, Electronic Commerce Threats, Encryption, Cryptography,
Public Keyand Private Key Cryptography, Digital Signatures, Digital Certificates,
SecurityProtocolsoverPublicNetworks:HTTP,SSL,FirewallasSecurityControl,Publ
ic
KeyInfrastructure(PKI)forSecuri ty,Prominent CryptographicApplications

06

5 E-BusinessStrategy -E-businessStrategicformulation -
AnalysisofCompany‘sInternalandexternalenvironment,Selectionofstrategy,
E-businessstrategy
intoAction,challengesandE -Transition(Process ofDigital Transformation)
04
6 Materializinge -business: FromIdeatoRealization -Businessplanpreparation
CaseStudiesand presentations 08

References:

1. AtextbookonE -
commerce ,ErArunrajanMishra,DrWKSarwade,NehaPublishers&Distributors, 2011
2. E-commercefromvisionto fulfilment, EliasM.Awad,PHI -Restricted,2002
3. DigitalBusinessandE -CommerceManagement,6thEd,DaveChaffey,Pearson,August2014
4. IntroductiontoE -business -ManagementandStrategy,ColinCombe,ELSVIER,2006
5. DigitalBusinessConceptsandStrategy,EloiseCoupey,2nd Edition,Pears on
6. TrendandChallengesinDigitalBusiness Innovation,VinocenzoMorabito,Springer
7. DigitalBusinessDiscourseErikaDarics,April2015,PalgraveMacmillan
8. E-Governance -
ChallengesandOpportunitiesin:Proceedingsin2ndInternationalConferencetheoryand
practiceofElectronic Governance
9. PerspectivestheDigitalEnterprise –
AframeworkforTransformation,TCSconsultingjournalVol.5
10. MeasuringDigitalEconomy -Anewperspective -DoI:10.1787/9789264221796 -
enOECDPublishing

Assessment :

InternalAssessmentfor20marks:
Consisting TwoCompulsoryClass Tests
Firsttestbasedonapproximately40%ofcontentsandsecondtestbasedonremainingcontents(appro
ximately40%but excludingcontents covered in TestI)

EndSemesterExamination:
Weightageofeachmoduleinendsemesterexaminationwillbeproportionaltonumberofrespective lectu
rehoursmentioned in the curriculum.
1. Questionpaperwillcompriseoftotal six questions ,eachcarrying20marks
2. Question1 willbe compulsory andshould cover maximumcontentsofthecurriculum
3. Remainingquestionswillbemixedinnature (forexampleifQ.2haspart(a)frommodule3
then,part (b)will befrom anymoduleotherthan module 3)
4. Only Fourquestions needto besolved .

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

Course
Code
CourseName Teaching scheme
(ContactHours)
CreditsAssigned

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


Course
code

CourseName ExaminationScheme
Theory
Term
Work
Oral
Total InternalAssessment End
Sem.
Exam Exam
Duration
(inHrs) Test1 Test2 Avg
ILO8029 Environmental
Management 20 20 20 80 3 -- -- 100

CourseO
bjectives  UnderstandandidentifyenvironmentalissuesrelevanttoIndiaandglobalconcerns
 Learnconceptsof ecology
 Familiariseenvironmentrelatedlegislations

Course
Outcomes Uponsuccessfulcompletionof thiscourse,thelearnerwillbeableto:
 Understandthe conceptofenvironmental management
 Understandecosystemandinterdependence,foodchainetc
.
 Understandandinterpret environmentrelatedlegislations



Module DetailedContents Hours

1 IntroductionandDefinitionofEnvironment:SignificanceofEnvironmentManagem
entforcontemporarymanagers, Careeropportunities,Environmental
issuesrelevantto India, SustainableDevelopment,theEnergyscenario
10

2 GlobalEnvironmental concerns : Global Warming, Acid Rain, Ozone
Depletion,HazardousWastes,Endangeredlife -
species,LossofBiodiversity, Industrial/Man -madedisasters,Atomic/Biomedical
hazards, etc.
06
3 ConceptsofEcology:Ecosystems andinterdependencebetweenliving
organisms,habitats,limitingfactors,carryingcapacity,foodchain,etc. 05

4 ScopeofEnvironmentManagement,Roleandfunctionsof Governmentasaplanninga
ndregulatingagency
EnvironmentQualityManagement and CorporateEnvironmental Responsibility
10
5 TotalQualityEnvironmentalManagement,ISO -14000,EMScertification. 05

6 GeneraloverviewofmajorlegislationslikeEnvironmentProtectionAct,Air (P
&CP)Act,Water(P&CP)Act,WildlifeProtectionAct,ForestAct,FactoriesAct,etc.
03

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23





REFERENCES:
1. EnvironmentalManagement:PrinciplesandPractice,CJBarrow,RoutledgePublishersLondon,1999
2. AHandbookofEnvironmentalManagementEditedbyJonC.Lovett andDavidG.Ockwell,EdwardElg
ar Publishing
3. EnvironmentalManagement, TVRamachandraandVijayKulkarni,TERIPress
4. IndianStandardEnvironmentalManagementSystems —
RequirementsWithGuidanceForUse,BureauOf Indian Standards,February2005
5. EnvironmentalManagement:AnIndianPers pective,SNCharyandVinodVyasulu,MaclillanIndia,2
000
6. IntroductiontoEnvironmentalManagement,MaryKTheodoreandLouiseTheodore,CRCPressEnvi
ronment and Ecology, MajidHussain, 3rdEd. Access Publishing.2015

Assessment:

InternalAssessmentfor20marks:
Consisting TwoCo mpulsoryClassTests
Firsttestbasedonapproximately40%ofcontentsandsecondtestbasedonremainingcontents(appro
ximately40%but excludingcontents covered in TestI)

EndSemesterExamination:
Weightageofeachmoduleinendsemesterexaminationwillbeproportionaltonumberof respectivelecture
hoursmentioned in the curriculum.
1. Questionpaperwillcompriseoftotal six questions ,eachcarrying20marks
2. Question1 willbe compulsory andshould cover maximumcontentsofthecurriculum
3. Remaining questions will be mixed in nature (for example if Q.2 has part (a)
frommodule3 then part (b) will be from anymoduleotherthanmodule 3)
4. Only Fourquestions needto be solved .

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

Course
Code CourseName Teachingscheme Creditassigned

BML801 HospitalManag
ement(Abbrevi
atedasHMlab) Theory Pract. Tut. Theory Pract. Tut. Total

--
02
--
--
01
--
01


Course
Code
CourseName ExaminationScheme
Theory
Term
work
Pract.
Oral Pract.
/Oral
Total InternalAssessment End
sem Test1 Test2 Avg.

BML801 Hospital Man
agement (HM
Lab)
--
--
--
--
25
--
25
--
50



CourseCode CourseName Credits
BML801 HospitalManagement 01
CourseObjectives  Tounderstandthebasicprinciplesusedfordesigningofvariousdepartmentsinthe
hospital.
 TounderstandtheroleofBiomedicalEngineerinhospitalandbasicdevelop skillsenabli
ngtoservehospitals.
 Tounderstandtheoverallfunctioningofvariousdepartmentsinthehospital.
CourseOutcomes Learnerwillbeableto…
 Applythe managementconcepts used specificallyin hospital.
 Explainthemanagementstructureand itsfunctionsinhospital.
 Demonstrate theknowledgeaboutthe principlesof
designingandcommissioningofclinical services in thehospital.
 DemonstratetheknowledgeabouttherolesandresponsibilitiesofBiomedicalEngineer
in hospital.
 DemonstratetheknowledgeaboutthefunctionsofotherEngineeringand auxiliaryservi
ces in thehospital.
 Applyenvironment and waste managementconcepts inhealthcareindustry.

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Syllabus:SameasthatofBMC801HospitalManagement(HM).

ListofExperimentsandAssignments:(AnyFourExperimentsand AnyFourAssignments)
1. DesignofRegistrationformofhospital.
2. Preparean organizationchart formulti -specialityhospital
3. Preparebudget usingEXCELsheet forpurchaseof hospital equipment.
4. PreparationofComparativeStatementinExcelforpurchaseofmedicalequipment. (AnyTwo)
5. Designthelayoutof Out patientDepartmentinhospital.
6. Designthelayoutof ICU inhospital.
7. DesignthelayoutofSurgicalOperationTheatre Complexinhospital.
8. Designthelayout ofRadiologyDepartment inhospital.
9. Designthelayoutof PathologyLaboratoryandBlood BankDepartment inhospital.
10. Designthe layout ofPhysiotherapyDepartment inhospital.
11. Designthelayoutof CentralSterileSupplyDepartmentin hospital.

Any other experiment based on syllabus which will help learner to understand
topic/concept.GroupPresentation based on the assigned topicbyvisitingaho spital.
BooksRecommended:
TextBooks:
1. HospitalManagementbyDr.PradynaPai,
2. HospitalPlanning,DesigningandManagement:KundersGD,Gopinath,AKatakam(PrivatePubBangal
ore)

ReferenceBooks:
1. ComputersinMedicine:R.D. Lele(TMHPub)
2. HospitalCareandHospitalManagementAICTE JournalVol.1,2,3byDr.Kalanidhi.(AICTEPubBangal
ore
3. Careersin Biomedical:ShantanuThatte.
Assessment:
TermWork:
Term work shall consist of minimum 4 experiments, 4 assignments and
presentation.Thedistribution ofmarks forterm work shall beasfollows:
Laboratory work (Experiments): 10
MarksLaboratory work (Assignments): 05
MarksPresentations : 05
MarksAttendance :05Marks
The final certification and acceptance of term work ensures the satisfactory performance
oflaboratorywork and minimum passingin thetermwork.
Oralexaminationwillbebasedonsuggestedpracticallistandentiresyllabus.

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Course
Code CourseName Teachingscheme Creditassigned


BMDL8011 Robotics
InMedicineLab
oratory (Abbrev
iatedas
RIMLab) Theory Pract. Tut. Theory Pract. Tut. Total

--
02
--
--
01
--
01



Course
Code

CourseName ExaminationScheme
Theory
Term
work
Pract.
Oral
Pract.
/Oral
Total InternalAssessment End
sem Test
1 Test
2 Avg.

BMDL8011 Robotics
InMedicine
Laboratory
(RIMLab)
--
--
--
--
25
--
25
--
50


CourseCode CourseName Credits
BMDL8011 RoboticsIn MedicineLaboratory 01
Course
Objectives  Tomakethelearnerawareof fundamental conceptsof Robotics
 Tomakelearner studydirect andInverseKinematics ofRobots
 Tomakelearner knowtheTrajectoryand Motionplanning.
 Tomakethelearner knowtheBiomedical applicationsofrobotics
Course
Outcomes  Todescribedirectand inversekinematicsof robots.
 Todescribeworkspaceenvelop and trajectoryplanningfor robots
 To applyvarious imageprocessingtools forrobotic manipulation
 Toimplementmotionplanningsolutionsusingvarious algorithms
 Toillustratemedicalapplicationsofrobots


Syllabus:Sameasthatof BMDO8011HospitalManagement(HM).

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Listof Experiments:(AnySeven)

Studentscanperformanyother experiment/Miniproject/Seminar/Scholarlypaperreviewbased
onthe theorysyllabus. Thecoding canbedonein MATLAB/SCILAB/Python/C
1. Fundamental and CompositeRotationsofMobileframewithrespecttofixedframe
2. HomogeneousTransformationsandScrewTransformations
3. Kinematiccon figurationsand LinkCoordinateTransformationsmatrix(ArmMatrix)
4. DirectKinematicsof 2 -3axis PlanarRobot andfindthelocationofTooltip.
5. DirectKinematic Analysisof 4,5AxisRobot
6. InverseKinematics ofrobots andprovethattherearemultiple waysto reachaparticularpoint.
7. DevelopWork Envelop for 2,3axis Robot
8. Tostudysegmentation usingedgedetection technique
9. Straightlinetrajectoryplanning -BDAAlgorithm
10. TemplateMatching
11. Gross motion planning is a part of task planning of robot. Suggest any method of gross
motionplanningso that thetaskcan becompleted withouthittingobstacles
12. Presentation/Seminar/CasestudyonBiomedical Applicationofrobotics

Assessment:

TermWork:
Term work shall consist of minimum 4 experiments, 4 assignments and
presentation.Thedistribution ofmarks forterm work shall beasfollows:
Laboratory work (Experiments):10
MarksLaboratory work (Journal / Mini project): 05
MarksPresentations:05 Marks
Attendance:05Marks
The final certification and acceptance of term work ensures the satisfactory performance
oflaboratorywork a nd minimum passingin thetermwork.
Oralexaminationwillbebasedonsuggestedpracticallistandentiresyllabus.

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

Course
Code CourseName Teachingscheme Creditassigned



BMDL8012 Department Optio
nalCourse
– 5
LabHealthcareInf
ormaticsLaborato
ry(Abbreviated as
HCILab) Theory Pract. Tut. Theory Pract. Tut. Total



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02


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01


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01




Course
Code

Course
Name ExaminationScheme
Theory

Term
work

Pract

Oral

Pract
/Oral

Total Internal
Assessment Ends
emex
am Dur
atio
n(h
rs
) Test
1 Test
2 Avg.



BMDL8012 Departmen
t
OptionalCo
urse –
5LabHealt
hcare Infor
matics Labo
ratory
(HCILab)


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--


--


--


--


25


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25


--


50



CourseCode CourseName Credits
BMDL8012 HealthcareInformatics Laboratory 01
Course
Objectives  Tounderstandthehealthcareinteroperabilitysemanticandsyntactic.
 Tounderstandthe
standardsofhealthcareinteroperabilitystandardsforMedicalImagesand Medical
Messages.
Course
Outcomes Learnerswillbeableto:
 FabricateHL7Messages
 EditandCompareDICOMfile.

Syllabus:Sameasthatof BMDO8012 HealthcareInformatics(HCI).

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23


ListofExperiments:(AnySeven)
1. Tofindterm/ ConceptandIDorVocabularycodes.
2. IdentifyingandChaptersofHealthLevel7fortriggerEventandmessagetypesandmessage.
3. Structureshouldbesenttocovereachrequirement.
4. Readingand editingsegment.
5. CreateHealth Level7Message.
6. CreatePatient InformationDatabasefromHealthLevel7Messages.
7. ToStudyDICOMValidationTool(DVTK).
8. EditDICOMFileusinghex -Editor.
9. CreatingDatabaseof apatient.
10. ComparingDICOMfile.

Anyotherexperimentbased onsyllabuswhich willhelplearner tounderstandtopic/concept.

Assessment:
TermWork:
Termworkshallconsistofminimum7experiments.
Thedistribution ofmarks fortermwork shall beasfollows:
Laboratory work (Experiments): 10
MarksLaboratorywork (Journal) :
10 MarksAttendance :5 Marks
The final certification and acceptance of term work ensures the satisfactory performance
oflaboratorywork and minimumpassingin thetermwork.
BooksRecommended:

Textbooks:
1. Principles of Health Interoperability HL7 and SNOMED (Health Information
TechnologyStandards)byTim Benson, Springer Publication.
2. Digital
ImagingandCommunicationinMedicine(DICOM)byOlegS.Pianykh,SpringerPublication.
3. TheCDATMBook,ByKeithBoone,Springer Publication.

ReferenceBooks :
1. InformaticsinMedicalImaging, GeorgeC.Kagadis,SteveG. Langer,CRCPress.

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

CourseCode CourseName Teachingscheme Creditassigned



BMDL8013 Department Opti
onalCourse
– 5
LabArtificialInt
elligence
inMedicine (Abb
reviated as
AIM) Theory Pract. Tut. Theory Pract. Tut. Total



--


02


--


--


1


--


1




Course
Code

Course
Name ExaminationScheme
Theory

Term
work

Pract

Oral

Pract.
/Oral

Total Internal
Assessment
End
sem Dur
atio
n(h
rs
) Test
1 Test
2 Avg.





BMDL8013 Departme
ntOptiona
lCourse –5
LabArtific
ialIntellige
nc
e
inMedici
ne(AIM
Lab)




--




--




--




--




--




25




--




25




--



50

CourseCode CourseName Credits
BMDL8013 ArtificialIntelligencein Medicine 01
Course
Objectives  Tounderstandthebasictechniquestobuildintelligentsystems
 Toapplyappropriatesearch techniquesused inproblem solving

Course
Outcomes Learnerwillbeableto…
 IdentifylanguagesandtechnologiesforArtificialIntelligence
 Understandandimplement searchingtechniques
 Createaknowledgebase
 Design andimplementexpertsystems

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

SuggestedListofExperiments

Sr.No. TitleofExperiment
1. IntroduceAIprogramminglanguage
2. Knowledgerepresentationandcreateknowledgebase
3. OnecasestudyonAI applications published inIEEE/ACM/Springer or any
prominentjournal.
4. AssignmentsonStatespaceformulation andPEAS representationforvarious AI
applications
5. Uninformedsearchmethods.
6. Informedsearchmethods.
7. Gameplayingalgorithms.
8. Firstorder Logic
Note:Anyotherpractical/assignmentscoveringthesyllabustopicsand subtopicscanbe
conducted.


Assessment:
TermWork:
Termworkshallconsistofminimum7experiments.
Thedistribution ofmarks forterm workshall beasfollows:
Laboratory work (Experiments/assignments): 10
MarksLaboratorywork (Journal) : 10 Marks
Attendance: 05Marks

The final certification and acceptance of term work ensures the satisfactory performance
oflaboratorywork and minimum passingin thetermwork.

BooksRecommended:
TextBooks:

1 StuartJ.RussellandPeterNorvig," ArtificialIntelligence:AModernApproach ‖,
FourthEdition"Pearson Education,2020.
2 SarojKaushik,― ArtificialIntelligence ‖,CengageLearning, Firstedition,2011
3 ItishaGuptaandGarima Nagpal, ―ArtificialIntelligenceandExpert
System ‖,Laxmi Publications,1st Edition2018

ReferenceBooks:

1 NilsJ.Ni lsson,PrinciplesofArtificial Intelligence,NarosaPublication.
2 Deepak Khemani,AFirstCourseinArtificial Intelligence,McGrawHill
Publication
3 PatrickH.Winston,Artificial Intelligence,3rdedition,PearsonEducation.
4 ElaineRichandKevinKnight," Artificial Intelligence ‖,ThirdEdition, McGraw
HillEducation,2017 .


Oralexaminationwillbebasedonsuggestedpracticallistandentiresyllabus

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

Course
Code CourseName Teachingscheme Creditassigned

BMP801
MajorProject
-II Theory Pract. Tut. Theory Pract. Tut. Total
-- 12 -- -- 06 -- 06


Course
Code

CourseName ExaminationScheme
Theory
Term
work
Pract.
Oral
Pract.
/Oral
Total InternalAssessment End
sem Test
1 Test
2 Avg.
BMP
801 MajorProject
-II -- -- -- -- 50 -- -- 100 150

CourseCode CourseName Credits
BMP801 MajorProject -II 06
Courseobjective  Implementthe conceptofProjectStage -I
 UseadvancedtoolsforImplementation
 Rectify/Debugthedesign andSubmitprojectreport.
CourseOutcome Learnerwillbeableto
 Debug/Rectifythedesign incurredduringimplementation
 WriteAnalysis,Results,Designinprescribedformat
 Learnthebehaviouralsciencebyworkingin agroup

ProjectGuidelines:
1. The students have already under gone project assignment in their seventh semester and in
thissemester the students are expected to continue the project work of stage I and should
attemptsolutionto the problem.
2. Learnerisallotted12hrs perweekfortheprojectwork
3. Reportshould be prepared as per the guidelines issued bytheUniversityofMumbai
4. Learners should be motivated to pu blish a paper based on the work in
Conferences/studentscompetitions
5. ProjectGroups: Learners canformgroupsnotmorethan4(Four)


FacultyLoad:
1. InsemesterVIII -1 (One)periodsof1hour eachperweekperprojectgroup
2. Eachfacultyis permittedtotake(guide)maximum4 (Four) projectgroups.

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UniversityofMumbai,BiomedicalEngineering,Rev2022 -23

Assessment:
TermWork:
TheTerm Work should beexamined byapprovedinternal facultyappointed bythe head of
theinstitutebasedon following:
 Scopeand objectiveof theproject work.
 ExtensiveLiteraturesurvey.
 Progressofthework (Continuousassessment)
 ReportinprescribedUniversityformat.

GuidelinesforAssessmentofProjectStage -II
1. Project II should be assessed through a presentation jointly by Internal and External
Examinersapproved bytheUniversityof Mumbai
2. Projectstage IIshouldbe as sessed basedon followingpoints
 Qualityof problemselected
 Clarityof Problem definition and Feasibilityof problem solution
 Relevancetothespecialization/Industrialtrends
 Clarityofobjectiveand scope
 Qualityof workattempted
 Validationofresults
 CompilationofProj ectReport
 QualityofWrittenandOralPresentation