Vide Item No 65 N Certificate Course in Artificial Intelligence for Healthcare_1 Syllabus Mumbai University by munotes
Page 2
Copy to : -
1. The Deputy Registrar, Academic Authorities Meetings and Services
(AAMS),
2. The Deputy Registrar, College Affiliations & Development
Department (CAD),
3. The Deputy Registrar, (Admissions, Enrolment, Eligibility and
Migration Department (AEM),
4. The Deputy Registrar, Research Administration & Promotion Cell
(RAPC),
5. The Deputy Registrar, Executive Authorities Section (EA),
6. The Deputy Registrar, PRO, Fort, (Publi cation Section),
7. The Deputy Registrar, (Special Cell),
8. The Deputy Registrar, Fort/ Vidyanagari Administration Department
(FAD) (VAD), Record Section,
9. The Director, Institute of Distance and Open Learni ng (IDOL Admin),
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),
6. P.A to Director, Board of Examinations and Evaluation,
7. P.A to Director, Innovation, Incubation and Linkages,
8. P.A to Director, Board of Lifelong Learning and Extension (BLLE),
9. The Director, Dept. of Information and Communication Technology
(DICT) (CCF & UCC), Vidyanagari,
10. The Director of Board of Student Development,
11. The Director, Dep artment of Students Walfare (DSD),
12. All Deputy Registrar, Examination House,
13. The Deputy Registrars, Finance & Accounts Section,
14. The Assistant Registrar, Administrative sub -Campus Thane,
15. The Assistant Registrar, School of Engg. & Applied Sciences, Kalyan ,
16. The Assistant Registrar, Ratnagiri sub -centre, Ratnagiri,
17. The Assistant Registrar, Constituent Colleges Unit,
18. BUCTU,
19. The Receptionist,
20. The Telephone Operator,
21. The Secretary MUASA
for information.
Page 3
AC - 17/05/2022
Item No. 6.5 (N)
UNIVERSITY OF MUMBAI
Syllabus
For
Certificate Course in
Artificial Intelligence for Health care
(To introduce with effect from the academic year 2022 -23)
Page 4
Page 5
PREAMBLE
This is with reference to the AICTE Initiative & University of Mumbai guidelines, Artificial
Intelligence for HealthCare , thirty hours Value added certificate course is introduced from the
academic Year 202 2-23. The students may take up this course as value -added certificate course
offered by their Pharmacy Institute while pursuing their education in Pharmacy.
The Primary aim and scope of this 30 hours certificate course is to impart specific skills that
students must acquire during their academic program with the aim of preparing well -rounded
learners. The Program will serve as a sound introduction to Artificial Intelligence for Pharmacy
students even if they plan on not joining the domain in their industry career. The syllabus for the
course shall be subjected to revision after every three years.
O.6793 :
Title of Course
"Certificate Course in Artificial Intelligence for Healthcare”
O6794 :
Eligibility
A candidate for being eligible at admission to the Certificate Course in
‘Artificial Intelligence for Healthcare’ must be student pursuing UG/ PG /
Ph.D. program in Pharmacy.
R.9553 :
Duration of Course
30 Hours
R.9554 :
Intake Capacity:
Maximum 45 candidates in one batch
Teachers:
Subject experts from HEIs and industry having the domain knowledge.
Regulation: Fees
It is an autonomous value -added paid course conducted at the
Institution level. Examination will be conducted by the Institute and
certificate will be issued by the Institute. However, the certificate will
be jointly signed by the principal and Director, B OEE with logos of
both organisations appearing on the certificate. All financial aspects
will be taken care by the institution running the course. There won’t
be any provision for sharing of fees with University of Mumbai.
EXAMINATION/ ASSESSMENT AND GRADING:
The certificate course shall be conducted at the Institute level. The institute shall conduct an
examination and issue a certificate of completion of the course with credits assigned.
Performance assessment of every registered learner is to be carried out through various modes of
examinations. These include Internal Assessment and Course Completion Exam.
Page 6
Table -1: Scheme for Assessment
Nature of Assessment Nomenclature Maximum
Marks
Internal Assessment/ Continuous
Mode of Assessment: to be
conducted intermittently during the
course conduction Quiz 1 10
Quiz 2 10
Quiz 3 10
Quiz 4 10
Course Completion Exam: to be
conducted upon completion of the
course Course Completion Exam 60
Total 100
Paper pattern for Internal Assessment i.e. Quiz
Question paper pattern for Quiz:
I. Multiple Choice Questions (MCQs) [Duration: 20 Mins] = 10 x 1 = 10
(Answer all the questions)
Total = 10 marks
Paper pattern for Course Completion Exam
Question paper pattern for Course Completion Exam:
MCQs : (Answer all the questions) [Duration: 60 Mins] = 30 x 2 = 60
Total = 60 marks
Page 7
GRADING OF PERFORMANCES
Letter grades and grade points allocations:
Based on the performances, each student shall be awarded a final letter grade at the completion of
the course .The letter grades and their corresponding grade points are given in Table – 2.
Table – 2: Letter grades and grade points equivalent to Percentage of marks and performances
Percentage of Marks Obtained Letter Grade Performance
90.00 – 100 O Outstanding
80.00 – 89.99 A Excellent
70.00 – 79.99 B Good
60.00 – 69.99 C Fair
50.00 – 59.99 D Average
Less than 50 F Fail
Absent AB Fail
A learner who remains absent for Course Completion E xamination shall be assigned a letter grade
of AB and a corresponding grade point of zero. He/she should reappear for the said
evaluation/examination in due course.
CRITERIA FOR AWARD OF THE CERTIFICATE:
A student shall be declared PASS and eligible for getting the certificate of completion of the
course if he/she secures at least 50% marks in the course out of a total of 100 marks. There are no
separate criteria for passing in the individual head of assessment.
The list of the students successfully completing the certificate course will be submitted by the host
institute to University of Mumbai along with the certificate signed by the head of the host
institute. The certificate will be jointly signed by the head of the host institute an d Director, Board
of examination and evaluation and will bear logo of both - host institute and University of
Mumbai.
The detailed syllabus of the Artificial Intelligence for HealthCare certificate course is given in
the consequent section of this docume nt.
Dr. Anuradha Majumdar (Dean, Science and Technology)
Prof. Shivram Garje (Associate Dean, Science)
Prof. Supriya Shidhaye (Chairperson BoS)
Dr. Shrirang Joshi (Member BoS)
Prof. K.G. Akamanchi (Member BoS)
Prof. Krishna Iyer (Member BoS)
Prof. Rajani Athawale (Member BoS)
Dr. Mohan Kale (Member BoS)
Dr. Meena Kanyalkar (Member BoS)
Page 8
Artificial Intelligence for Healthcare
(Total Hours - 30)
Course Code Course Name Credits
PH-AI Artificial Intelligence for Healthcare 03
Prerequisites:
o Desire to learn Artificial Intelligence and machine learning
o Knowledge of higher school level math
Course Outcomes: After completion of this course students should be able to:
o Understand what is Artificial Intelligence (AI) and Machine learning (ML)
o Underst and the concept of Internet of Things (IoT) and its applications in healthcare
o Analyze the healthcare data and process it using data analysis and statistical tools
o Explore the applications of AI and ML with respect to healthcare domain
Unit no. Course content (topics and subtopics) Hours
1. Introduction to Artificial Intelligence (AI) and Machine
learning (ML)
Importance and Applications of AI and ML in Healthcare 3
2. Types of Machine Learning and its classification -Decision
Tree, Bayesian Classifier, Regression 2
3. Neural Networks, their types, and processing
Neural Networks – learning Models.
Deep Neural Network, Convolution Neural Networks & Recurrent
Neural Networks
Natural Language Processing
Commonly Used and Advanced Neural Network
architectures
Computer Vision 4
4. Internet of Things (IoT)
o Introduction
o Process flow and Tools
o Use Cases
o Remote Patient Monitoring 3
5. Data Representation:
o Introduction to data, data frames
o Data standardization
o Dealing with noise and missing values
o Transforming and normalizing data 4
6. Data Analytics:
o Overview of tools like R, Python
o Statistical and Visualization tools 4
7. Healthcare data Analysis:
o Sources of the healthcare data
o Pre-processing of the healthcare data
o Handling of the healthcare data
o Creation of analysis -ready datasets 5
8. Healthcare datasets – Examples and Case studies 3
9. Case studies and Future trends in AI Healthcare 2
Total 30
Page 9
* Healthcare -related case studies should be discussed in relevance to the topics mentioned in the syllabus.
References:
1. Russell, S. and Norvig, N. Artificial Intelligence: A Modern Approach. Prentice Hall Series in Artificial
Intelligence 3
2. Bishop, C. M. Neural Networks for Pattern Recognition. Oxford University Press.
3. Hastie, T., Tibshirani, R. and Friedman, J . The Elements of Statistical Learning, Springer
4. Adam Gibson, Josh Patterson, Deep Learning, O'Reilly Media, Inc.
5. Guoguang Rong, Arnaldo Mendez, Elie Bou Assi, Bo Zhao, Mohamad Sawan, Artificial Intelligence
in Healthcare: Review and Prediction Case Studie s, Engineering, Volume 6, Issue 3, 2020, Pages
291-301, ISSN 2095 -8099, https://doi.org/10.1016/j.eng.2019.08.015 .
Page 10
(Appendix ‘B’)
New ordinances 6793 & 6794 relating to the
Certificate Course in Artificial Intelligence for Healthcare
1 Necessity of starting these courses
The primary aim and scope of suggesting value -added course
undermentioned are to boost the employability of the B. Pharm students
and to help them to be at par with global trends and global technology.
Artificial Intelligence (AI) is a buzzword and has man ifold applications in the
healthcare field. The role of artificial intelligence in healthcare has been a
huge talking point in recent months and there’s no sign of this technology
slowing down. AI in healthcare has huge potential in drug discovery,
manufac turing process improvisation, diagnostics, drug repurposing,
predicting treatment results, etc.
2 Whether UGC has recommended to start the said courses?
UGC Quality mandate states that to ensure holistic development of the
students at the university/col lege level, efforts need to be made to reorient
the teaching pattern with a focus on all types of courses including Elective
courses — chosen by students from other departments as per their aptitude.
UGC Quality mandate mentions Learning Outcome -based Curr iculum
Framework (LOCF) — revision of curriculum in regular intervals. Under this
objective, UGC suggests that HEIs should boost the employability of
graduates through curriculum reform.
National Education Policy (chapter 20.5) mentions –“India must also take
the lead in preparing professionals in cutting -edge areas that are fast gaining
prominence, such as Artificial Intelligence (AI), 3-D machining, big data
analysis , and machine learning , in addition to genomic studies,
biotechnology, na notechnology, neuroscience, with important applications to
health, environment, and sustainable living that will be woven into
undergraduate education for enhancing the employability of the youth”
Artificial Intelligence (AI) is a new buzzword and has imm ense applications in
healthcare. Value -added course in AI will help students to:
Get insights into this field in relevance with the Healthcare domain
Identify problems healthcare providers face that machine learning can
solve and
Learn potential applicatio ns of AI with respect to patient care safety,
quality, and research.
Relate AI to the science, practice, and business of medicine.
This course will help Undergraduate students to be at par with global trends
and global technology.
3 Whether all the cours es have commenced from the academic year 2022 -
23?
Page 11
It is proposed to be introduced from academic year 2022 -23. Since it is
avalue -added course, not confined within the framework of syllabus of B.
Pharm/ M. Pharm / Ph.D. for award of degree or credit transfer, any
affiliated Pharmacy college can conduct the coursebased on the availability of
the resource persons and interest of the students. Students may take up the
course as per their interests. Any student pursu ing UG/ PG / Ph.D. program
in Pharmacy is eligible for admission to this course.
4 The courses started by the University are self -financed, whether
adequate number of eligible permanent faculties are available?
It is a paid course. It is optional for th eUOM -affiliated colleges to conduct the
course at their respective institutions. It is an autonomous value -added
course independent of the student -teacher ratio and may be delivered by
guest faculty from HEIs and Industry.
5 To give details regarding duration of the Course and is it possible to
compress the course?
Duration: 30 Hours
This is the minimum duration required and not recommended for further
compression.
6 The intake capacity of each course and number of admissions given in
the current a cademic year 2022 -23?
Batch size should be ideally restricted to maximum 45 to increase the
effectiveness of the course. The course is proposed to be introduced from
academic year 2022 -23
7 Opportunities of employability / employment available after
undertaking these courses.
Artificial Intelligence (AI) will create many new job roles. The course will help
the students get insights and provide an upper edge over regular Pharmacy
students by equipping them with basic understanding of the scope of
Artificial Intelligence (AI) in healthcare and the methodologies involved.
Signature –
Dr.SupriyaShidhaye,
Chairman, Ad -hoc Board of Studies in Pharmacy
Under the faculty of Science and Technology