Vide Item No 69 4N BSc Artificial Intelligence Sports Analytics Sem I II CBCS_1 Syllabus Mumbai University

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Copy to : -
1. The Deputy Registrar, Academic Authorities Meetings and Services
(AAMS),
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Department (CAD),
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(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,
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for information.

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AC – 10/11/2021
Item No. 6.9 (4)







UNIVERSITY OF MUMBAI






Program: Undergraduate Degree Program
Course: B.Sc. (Artificial Intelligence & Sports Analytics)

SEMESTER - I & II


(As per Choice Based and Credit System)
(Introduced with effect from the academic year 2021 -22)

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BSc.( Artificial Intelligence and Sports Analytics )
Semester – I & II
SEMESTER – I
CREDITS COURSE
CORE
Mathematics for Intelligent System 1 2
Communication 3
Accountancy 3
Principles of Management 3
SCHOOL ELECTIVES 2/5
Introduction to Basic Electrical Engineering 2
Principals of Electronics 2
Intelligence of Biological Systems 1 2
Problem Solving and Object -Oriented Programming 3
Formal Language and Automata Theory 3
SPECIAL ELECTIVES 1/2
Sports Law 3
Introduction to Computer Science 3


SEMESTER - II CREDITS COURSE
CORE
Mathematics for Intelligent System 2 2
Database Management System 3
Macro Economics 3
Human Resource Management 3
SCHOOL ELECTIVES 2/5
Operation Research and Optimization Techniques 2
Discrete Mathematics 2
Computer Organization and Architecture 2
Strategic Management 3
Data Structures and Algorithms 2
SPECIAL ELECTIVES ½
Managing Stakeholder in Sports 2
Business Statistics 3

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Semester – I
Course Code:
TIMUAIS1C1 Course Title: Mathematics for Intelligent
System 1 Credits: 2 Lectures/Week:3
Learning Objectives:
 To develop an understanding of the basic concepts and techniques of linear algebra as
applied to signal processing.
 To provide an appreciation of these disciplines within the scientific field. To provide
connection between the concepts of linear algebra, differential equation and probability
theory.
Course Description: This objective of this course is to provide a focus on linear algebra,vector spaces
and convolution theory.
Unit I Basics of Linear Algebra - Linear Dependence and independence of vectors -
Gaussian Elimination - Rank of set of vectors forming a matrix - Vector space
and Basis set for a Vector space - Dot product and Orthogonality - Rotation
matrices - Eigenvalues and Eigenvectors and its interpretation - Projection
matrix and Regression – Singular Value Decomposition. Hours
12
Unit II Convolution sum, Convolution Integral, Ordinary Linear differential
equations, formulation, analytical and Numerical solutions, Impulse
Response Computations, formulating state space models of Physical
systems.
8
Unit III Examples of ODE modelling in falling objects, satellite and planetary motion,
Electrical and mechanical systems. Multivariate calculus, Taylor series,
Introduction to Optimization.

Introduction to Probability Distributions and Monte Carlo Simulations
10
References:
1. Reena Garg, Engineering Mathematics -I, Khanna Publishers.
2. Erwin Kreyszig, Advanced Engineering Mathematics, John Wiley & Sons.
3. Michael Greenberg, Advanced Engineering Mathematics, Pearson.
4. B.S. Grewal, Higher Engineering Mathematics, Khanna Publishers.
5. Kanti B. Dutta, Mathematical Methods of Science and Engineering, Cenage Learning.
6. Veerarajan T., Engineering Mathematics for first year, Tata McGraw -Hill, New Delhi.
7. S.K. Mapa, Higher Algebra: Abstract and Linear, Sarat Book House Pvt.Ltd.
8. Hoffman and Kunze: Linear algebra, PHI.

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SEMESTER – I
Course Code:
TIMUAIS1C2 Course Title: Communication Credits: 3 Lectures/Week:3
Learning Objectives:
 Provide a basic understanding of the fundamentals of communication in a business setting
 Develop English language skills –both oral and written
 Ensure good presentation skills
Course Description: On a daily basis we work with people who have different opinions,
values, beliefs, and needs than our own. Our ability to exchange ideas with others,
understand others' perspectives, solve problems and successfully utilize the steps
and processes presented in this training will depend significantly on how effectively we are able to
communicate with others. Hence it becomes imperative to have some understanding of the complex
and dynamic structure of modern communication and deve lop communication skills.
Unit I
Scope of
Communication Meaning, Nature, Scope, Definition of Communication, Types of
Communication, Communication Barriers, Principles of Communication.
Written Communication – Types of Letter, Letter lay-out, Essentials of an
effective letter writing, Need and function of Business letter. Hours
7
Unit II
Oral & Writing Oral Communication – Types of oral communication, Barriers to oral
communication, speedy – Introduction & Characteristic of good speech.
Mass Communication – Nature & Scope of Mass Communication,
function of mass communication – Media of mass communication
10
Unit III
Report
Writing/Written
Communication
Report Writing - What is report, Importance of Reports, Types of reports,
Characteristic of good report selecting suitable types of reports.
10
Unit IV Writing a publishable article for a newspaper Presentations – in group
and in person on topics given in class
Group discussions
18
References:
 Business Communication – Monopoly & Monipally
 Commercial Correspondence – Ghosh & Bhushan

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SEMESTER – I
Course Code:
TIMUAIS1C3 Course Title: Accountancy Credits: 3 Lectures/Week:3
Learning Objectives:
 The present course includes introduction to the subject of Financial Accounting, basic
concepts underlying the accounting practices and its techniques with special reference to
Sole - Proprietorship.
 It also touches upon the various aspects of accounting related to Non -Trading Concerns.
Course Description: Financial Accounting as a discipline has evolved over the years due to the
perennially changing requirements of the industry. With the advent of computerization, it now
also encompasses new techniques and new issues caused by changes in the legislations pertaining
to the preparation and publication of Financial Statements.
Unit I Accounting, meaning, definition, objectives, scope, basic, terms,
accounting principles, branches of accounting, uses & limitations of
Accounting, Concepts & Conventions, Accountings use, Accounting
information, Accounting equations – Meaning of accounting equation,
compensation of accounting, effects of transactions. Hours
10
Unit II Basic Accounting Procedure – Journal, rules of debit & credit, method of
journalizing, advantage, double entry system – its advantage, ledger,
meaning, utility, posting entries. Practical system of book keeping –
Cashbook, types of cash book, Single column, double column, entries, Trial
Balance, Objective, preparation, errors & rectification, Suspense
Accounting – meaning, utility & preparation.
15
Unit III Bank Reconciliation: - Meaning, causes of differences, need &
importance, preparation & presentation of BRS,
Depreciation – meaning, methods of charging depreciation, straight line,
written - down methods. Statements Final Accounts – Meaning, need &
objectives, types – Trading Account – Meaning, need & preparation, Profit
& loss Account – meaning, Need & preparat ion, Balance Sheet - Meaning,
need & Preparation, Final Accounts with adjustment entry.
15
Unit IV Case studies on successful accounting firms and on accounting
frauds that were made public
Reading, analysing and presentation 5
References:
 Basics of Accounting – Jain & Narang
 Basic of Accounting – T. S. Grewal
 Accounting for Managers – J. Made Gowda – Himalaya Publishing House
 Introduction to Accountancy – T. S. Grewal & S. C. Gupta – S. Chand – 8th Edition
 Modern Accountancy - Hanif Mukerji – TMH
 Financial Accounting by Dr. Kaustubh Sontake – 1st Edition – Himalaya Publishing House

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SEMESTER – I
Course Code:
TIMUAIS1C4 Course Title: Principles of Management Credits: 3 Lectures/Week:3
Learning Objectives:
 This subject is designed to provide a basic understanding to the students with reference to
working of business organizations through the process of management.
 The first part of this course will give a brief understanding of the managerial functions of
planning (including decision making) and organizing.
 The second part (HRM) will throw light on the managerial functions of staffing, directing and
controlling.
Course Description: The field of management has undergone a sea change and has today
assumed a form of a profession with a well-defined body of knowledge. This knowledge is
continuously evolving and new issues and findings are constantly emerging. This field is
attracting many people who want to undergo a formal training in this area.
This course is designed to give individual s a precursor into the world of management and its
expectations.
Unit I
Evolution
of
Management Evolution of Management: - Contribution of Taylor, Mayo & Fayol,
Different approaches o management, role of manager, tasks of a
professional manager, Management & its functions. Level of
Management, managerial skills at various levels.
Planning & Decision making: - Definition, Nature for planning,
importance, Process of planning, decision making, nature importance &
process, types of plans. Hours
10
Unit II
Organization,
Planning &
Decision
Making Organization & staffing: - Definition, organizing process, importance of
organizing, Departmentation manpower planning, Recruitment,
Selection, Training & promotion.
Directing & Leadership: - X Theory, & Y Theory, Hawthorne & Tinstone
studies Leadership. Definition, Stogdill trait theory, Managerial grid,
Fiedlers contingency approach.
15
Unit III
Motivation &
leadership Motivation – Meaning, Missions, Herzberg’s theory, V Room’s expectancy
theory & Porter & Lawler model of Motivation. Communication & control
Communication Definition, importance, process, types, factors affecting
communication methods, barriers & remedies.
15
Unit IV Games:
- Decision Making
- Fayol’s 14 Principles of Management – Game
- Game on Team work explaining efficacy
- Using Maps for Leadership Models
Using Kirkpatrick Model for Leadership Development
- Compete Game – Business Acumen + High Performing Teams +
Collaborative Working + Negotiating Skills
5

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4 lectures (2 hours each + Presentations)
References:
 Principles & Practice of Management – L. M. Prasad
 Management – Theory & Practice – C. B. Gupta
 Karminder Ghuman and K. Aswathapa; Management – Concept, Practice and Cases;
Tata McGraw Hill; 1st edition (2010)
 Gupta, Sharma and Bhalla; Principles of Business Management; Kalyani Publications; 1st
edition

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SEMESTER – I
Course Code:
TIMUAIS1SCE1 Course Title: Introduction to Basic
Electrical Engineering Credits: 2 Lectures/Week:3
Learning Objectives:
 Impart a basic knowledge of electrical quantities such as current, voltage, power, energy and
frequency to understand the impact of technology in a global and societal context.
 Provide working knowledge for the analysis of basic DC and AC circuits used in electrical and
electronic devices.
 To explain the working principle, construction, applications of DC machines, AC machines &
measuring instruments.
 Highlight the importance of transformers in transmission and distribution of electric power
Course Description: The objective of this courses to provide the students a basic knowledge of
electrical engineering including basic of motors,machines , transformation and distribution of power.
Unit I DC Circuits Electrical circuit elements (R, L and C), voltage and
current sources, Kirchoff current and voltage laws, analysis of simple
circuits with dc excitation. Superposition, Thevenin and Norton
Theorems. Time -domain analysis of first-order RL and RC circuits Hours

5
Unit II AC Circuits Representation of sinusoidal waveforms, peak and rms
values, phasor representation, real power, reactive power, apparent
power, power factor. Analysis of single -phase ac circuits consisting of
R, L, C, RL, RC, RLC combinations (series and parallel), resonance.
Three phase balanced circuits, voltage and current relations in star
and delta connections. 7
Unit III Transformers Magnetic materials, BH characteristics, ideal and practical
transformer, equivalent circuit, losses in transformers, regulation and
efficiency. Auto -transformer and three -phase transformer connections. 6
Unit IV Electrical Machines Generation of rotating magnetic fields,
Construction and working of a three -phase induction motor,
Significance of torque -slip characteristic. Loss components and
efficiency, starting and speed control of induction motor. Single -phase
induction motor. Construction, working, torque -speed characteristic and
speed control of separately excited dc motor. Construction and w orking
of synchronous generators. 6
Unit V Power Converters DC -DC buck and boost converters, duty ratio control.
Single -phase and three -phase voltage source inverters; sinusoidal
modulation. Module 6: Electrical Installations (6 hours) Components of
LT Switchgear: Switch Fuse Unit (SFU), MCB, ELCB, MCCB, Types of
Wires and Cables, Earthing. Types of Batteries, Important
Characteristics for Batteries. Elementary calculations for energy
consumption, power factor improvement and battery backup 6

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References:
1. V. Mittle & Arvind Mittal, Basic Electrical Engineering, TMH.
2. Ashfaq Hussain, Basic Electrical Engineering, S. Chand Publication
3. Chakrabarti,Nath & Chanda, Basic Electrical Engineering, TMH
4. C.L. Wadhwa, Basic Electrical Engineering, Pearson Education
Reference books
1. H. Cotton, Willey Press
2. J.B. Gupta, Basic Electrical Engineering, Kataria & Sons .
3. Kothari & Nagrath, Basic Electrical Engineering, TMH

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SEMESTER – I
Course Code:
TIMUAIS1SCE2 Course Title: Principals of Electronics Credits: 2 Lectures/Week:3
Learning Objectives:
 Acquire a pre requisite knowledge on basic electrical technology and to familiarise with basic
electronic devices
 Enable the students to systematically pursue his particular discipline in science in relation to
other disciplines that come under the rubric of sciences. It enables the students to learn
fundamental characteristics of science as human enterprise and apply scientific methods
independently.
Course Description: The objective of this courses to provide the students a basic knowledge of
electronics including transistors, semiconductors, FETs, oscilators.
Unit I Classification of solids based on energy band theory, Intrinsic
semiconductors, Extrinsic semiconductors – P-type and N-type, P-N
junction, VI Characteristics of PN junction diode, Half and Full wave
rectifiers, Zener effect, Zener diode, Zener diode Characteristics, Zener
diode as a regulator. Hours
8
Unit II Bipolar junction transistors – CB, CE, CC configurations and characteristics,
Biasing circuits – Fixed bias, Voltage divider bias, CE amplifier, Concept of
feedback, Negative feedback, voltage series feedback amplifier, Current
series feedback amplifier 7
Unit III FET – Configuration and characteristics, FET amplifier, Characteristics and
simple applications of SCR, Diac, Triac and UJT 7
Unit IV Positive feedback, Sinusoidal oscillators – RC phase shift, Hartley, Colpitts,
Wein bridge oscillators, Operational amplifier – Adder, Inverting and Non -
inverting amplifiers, integrator and differentiator, IC 555 based Astable
and Monostable Multivibrators.
8
References:
1. Analog and Digital Communication Singal, T. L. Tata Mcgraw Hill, India latest edition
2. Electronic Communication Systems George Kennedy and Bernard Davis Tata McGraw Hill 5
th edition or latest
3. Electronics Communication Dennis Roddy and John Coolen Pearson Eductation 4th Edition
4. Electronics Communication System ( Fundamental to Advance) Wayen Tomasi Pearson
Education, 5th edition

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SEMESTER – I
Course Code:
TIMUAIS1SCE3 Course Title: Intelligence of Biological
Systems 1 Credits: 2 Lectures/Week:2
Learning Objectives:
 To introduce the basics of cell biology which will pave way for advanced courses in
computational biology.
 To help the students understand the basic cellular processes and it will provide a very basic
introduction about intelligence of the cell.
Course Description: The objective of this courses to provide the knowledge of computational
biology.
Unit I Classification of biological macromolecules, Cellular Structures Hours
10
Unit II Cellular Energy Production and Utilization, The Cell Cycle and Cell Division,
Meiosis and Formation of Gametes,
12
Unit III Protein Synthesis, Gene Expression and Mutation, Evolution Patterns and
Processes. 8
References:
 Ryan Rogers, Cell and Molecular Biology for Environmental Engineers, Momentum Press
Engineering, 2018.
 Gabi Nindl Waite, Lee R. Waite, Applied Cell and Molecular Biology for Engineers, McGraw
Hill Publishers, 2007.

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SEMESTER – I
Course Code:
TIMUAIS1SCE4 Course Title: Problem Solving and Object -
Oriented Programming Credits: 3 Lectures/Week:3
Learning Objectives:
 To introduce the concepts of Object Oriented Programming and to understand develop and
implement efficient programs using java.
 To Learn how to use these object -oriented programming concepts in code examples, discover
how these concepts are used in applications that require user input, and understand the
benefits of these concepts in Java
Course Description: The objective of this courses to provide the students a in depth knowledge
object oriented systems, operations with the concepts relating to OOP terminologies using the
programming language Java.
Unit I OOP concept Object, Class, Data abstraction, Data encapsulation,
Inheritance, Polymorphism, Dynamic binding Hours
5
Unit II Module II: Overview of Java and Data concept Java features, JVM,
Comparison between Java and C++, Idea of any Java Development Kit
(JDK). Data Types, variables, scope and life time of variables, Identifiers,
Literals, Keywords, Operator.
5
Unit III Control, iteration statements and array Simple if statement, if…else
statement, nesting of if-else statement, switch statement. For loop, while
loop, Do-While loop, Arrays, 1D and 2D array 4
Unit IV Method parameters, Inheritance and String Methods with parameters,
Methods with a return type, Method overloading, Passing Objects as
Parameters, Passing Values to methods and Constructor, Abstract classes,
Basic concepts, types of inheritance, use of super keyword, overriding
methods, String buffer, different string functions. 6
Unit V Packages, Interfaces and Exception Handling User defined package, import
package, Class path, how to create interface, use and extend interface,
what is Exceptions and handling exception? Compile time errors Run time
errors, try…catch, Using Multiple Catch Blocks, finally Block, throwing an
Exception, Using the throw and throws Statement. 6
Unit VI Stream, Multithreaded Programming, Applets, Concept of Abstract
Window Toolkit Byte Streams, Input Stream, Output Stream Character
Streams (Reader, Writer), How Files and Streams Work, working with
Reader classes (Input Stream Reader, Buffered Reader), Overview, Thread
Life cycle, Advantages of multithreading over multi -tasking Thread
Creation and simple programs, Synchronized thread, Applet vs.
Application, Applet class, Advantages of Applet, Applet Lifecycle My First
Applet, Applet tag, how to run applet. GUI Components Labels, Buttons,
Check Boxes, Radio button, Text Area, Text Field, Scrollbar, Panels, Layout
managers, Simple event driven programming with Text Field and Button. 6

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Course Name: : Problem Solving and Object -
Oriented Programming Lab No of Labs : 13 (each lab duration 1 hour)
Objective
List of Programs  To implement , run and debug java
programs 
 To implement structures like
constructors, overloading, inheritance,
overriding 
 To implement threads, applets
 Assignments on class, constructor,
overloading, inheritance, overriding 
 Assignments on wrapper class, arrays
 Assignments on developing interfaces -
multiple inheritance, extending interfaces 
 Assignments on creating and accessing
packages
 Assignments on multithreaded
programming 
 Assignments on applet programming 
Note: Use Java for programming References:
1. Rambaugh, James Michael, Blaha – "Object Oriented Modelling and Design" – PrenticeHall, India
2. Ali Bahrami – "Object Oriented System Development" – Mc Graw Hill
3. Patrick Naughton, Herbert Schildt – "The complete reference -Java2" – TMH
4. R.K Das – "Core Java For Beginners" – VIKAS PUBLISHING
5. Deitel and Deitel – "Java How to Program" – 6th Ed. – Pearson
6. Ivor Horton's Beginning Java 2 SDK – Wrox
7. E. Balagurusamy – " Programming With Java: A Primer" – 3rd Ed. – TMH

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SEMESTER – I
Course Code:
TIMUAIS1SCE5 Course Title: Formal Language and
Automata Theory Credits: 3 Lectures/Week:3
Learning Objectives:
 Be able to construct finite state machines and the equivalent regular expressions.
 Be able to prove the equivalence of languages described by finite state machines and regular
expressions
 Be able to construct pushdown automata and the equivalent context free grammars. And Be
able to prove the equivalence of languages described by pushdown automata and context
free grammars.
 Be able to construct Turing machines and Post machines. Be able to prove the equivalence of
languages described by Turing machines and Post machines
Course Description: The objective of this courses to provide the students a knowledge of theory of
computation including regular expressions, finite and non finite automata, context free language.
Unit I Introduction: Alphabet, languages and grammars, productions and
derivation, Chomsky hierarchy of languages. Hours
7
Unit II Regular languages and finite automata: Regular expressions and
languages, deterministic finite automata (DFA) and equivalence with
regular expressions, non deterministic finite automata (NFA) and
equivalence with DFA, regular grammars and equivalence with finite
automata, properties of regular languages, pumping lemma for regula r
languages, minimization of finite automata)
10
Unit III Context -free languages and pushdown automata: Context -free grammars
(CFG) and languages (CFL), Chomsky and Greibach normal
forms,nondeterministic pushdown automata (PDA) and equivalence with
CFG, parse trees, ambiguity in CFG, pumping lemma for context -free
languages, deterministic push down automata, closure properties of CFLs.
9
Unit IV Turing machines: The basic model for Turing machines (TM), Turing
recognizable(recursively enumerable) and Turing -decidable (recursive)
languages and their closure properties, variants of Turing machines,
nondeterministic TMs and equivalence with deterministic TMs,
unrestricted grammars and equivalence with Turing machines, TMsas
enumerators
10
Unit V Undecidability: Church -Turing thesis, universal Turing machine, the
universal and diagonalization languages, reduction between languages and
Rice s theorem, undecidable problems about languages 9
References:
1. John E. Hopcroft, Rajeev Motwani and Jeffrey D. Ullman, Introduction to Automata Theory,
Languages, and Computation, Pearson Education Asia.
2. Harry R. Lewis and Christos H. Papadimitriou, Elements of the Theory ofComputation, Pearson
Education Asia.

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3. Dexter C. Kozen, Automata and Computability, Undergraduate Texts in Computer Science,
Springer.
4. Michael Sipser, Introduction to the Theory of Computation, PWS Publishing.
5. John Martin, Introduction to Languages and The Theory of Computatio n, TataMcGraw Hill.,
PEARSON.
6. Dr. R.B.Patel, Theory of Computation, Khanna Publishing House

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SEMESTER – I
Course Code:
TIMUAIS1SPE1 Course Title: Sports Law Credits: 3 Lectures/Week:3
Learning Objectives:
Course Description:
Unit I
Types of Laws  Various sources of Law, significance of law, business law
 Impact of law on society & business economics
 Constitution aspects and implications Hours
10
Unit II
Contracts and
norms  Law of Contract – Definition & Nature of Contract, types of
contract, offer & acceptance, consideration & capacity to
contract, free constant legality ofobject
& consideration, contingent contract, quasi contract discharge of
contract, remedies for breach of contract, indemnity &
guarantee
 Pledge principal – agent relationship & rights & obligation of
Principal & agent.
15
Unit III  Law of sale of goods – nature of contract of sale,
conditions & warranties, Transfer of ownership
 Performance of contract of sale, rights of unpaid seller,
Remedies for breach of contract Auction sale
 Law of negotiable instruments – nature of N. I., Promissory notes,
BOE, Cheque, Parties of NI
15
Unit IV  Court of Arbitration in Sports (CAS) - Duttee Chand Case, Shanti
Case - Watch a movie - File a compliant, Caster Semenya Case.
Maria Sharapova Case, Icarius movie review, Athlete A movie
Review, Lance Armstrong - The Program, Dig out Files and Do
Review. Tour de France.
5
References:
Requisite case studies and learning material to be provided

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SEMESTER – I
Course Code:
TIMUAIS1SPE2 Course Title: Introduction to Computer
Science Credits: 3 Lectures/Week:3
Learning Objectives:
 To understand the basic concept of working principles of Computer, history of computer
 To understand the concepts pf hardware, softwares involved
 To understand the concept of computer networks, databases including data mining and data
warehousing
Course Description: The main objective of this course is to provide students knowledge of
fundamental concepts of computers and information technology .
Unit I 1. Introduction to Computer
teaching hours:
Introduction; Digital and Analog Computers; Characteristics of Computer;
History of Computer;Generations of Computer; Classification of Computer;
The Computer System; Application of Computers

2. The Computer System Hardware
teaching hours:
Introduction; Central Processing Unit; Memory Unit; Instruction Format;
Instruction Set;Instruction Cycle; Microprocessor; Interconnecting the
Units of a Computer; Inside a Computer Cabinet

3. Computer Memory
Introduction; Memory Representation; Memory Hierarchy; CPU Registers;
Cache Memory;
Primary Memory; Secondary Memory; Access Types of Storage Devices;
Magnetic Tape;
Magnetic Disk; Optical Disk; Magneto -Optical Disk; How the Computer
uses its memory Hours
15
Unit II 4. Input and Output Devices
Introduction; Input -Output Unit; Input Devices; Human Data Entry Devices;
Source Data Entry Devices; Output Devices; I/O Port; Working of I/O
System
5. Data Representation
Introduction; Number System; Conversion from Decimal to Binary, Octal,
Hexadecimal;
Conversion of Binary, Octal, Hexadecimal to Decimal; Conversion of Binary
to Octal,Hexadecimal; Conversion of Octal, Hexadecimal to Binary; Binary
Arithmetic; Signed and Unsigned Numbers; Binary Data Representation;
Binary Coding Schemes; Logic Gates
6. Computer Software
15

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Introduction; Types of Software; System Software; Application Software;
Software Acquisition;Operating System (Introduction, Objectives of
Operating System, Types of OS, Functions of OS,
Process Management, Memory Management, File Management, Device
Management, Protection and Security, User Interface, Examples of
Operating Systems)
Unit III 7. Data Communication and Computer Network
Introduction; Importance of Networking; Data Transmission Media; Data
Transmission across Media; Data Transmission and Data Networking;
Computer Network; Network Types; Network Topology; Communication
Protocol; Network Devices; Wireless Networking

8. The Internet and Internet Services
Introduction; History of Internet; Internetworking Protocol; The Internet
Architecture; Managing the Internet; Connecting to Internet; Internet
Connections; Internet Address; Internet Services; Uses of Internet;
Introduction to Internet of Things (IoT), Wearable Computing, and Cloud
Computing, Introduction to E -commerce, E -governance, and Smart City,
and GIS

9. Fundamentals of Database
Introduction; Database; Database System; Database Management System;
Database System
Architectures; Database Applications; Introduction to Data Warehousing,
Data mining


15
References:
1. “A First Course in Computers” by Sanjay Sexena
2. “Introduction To Computers” by Ms Shikha Nutiyal
3. “Introduction to Information Technology” by Rajaraman V
4. “Introduction to Information Technology: ITL Education Solutions Limited” by ITL ESL

*Curated by TransStadia Institute - Centre of Excellence, Mumbai

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BSc (Artificial Intelligence and Sports Analytics)
Semester – I & II
SEMESTER – I
CREDITS COURSE
CORE
Mathematics –I 2
Communication -1 3
Accounting -1 3
Principles of Management 3
SCHOOL ELECTIVES 2/5
Introduction to Basic Electrical Engineering 2
Principals of Electronics 2
Intelligence of Biological Systems 1 2
Problem Solving and Object -Oriented Programming 3
Formal Language and Automata Theory 3
SPECIAL ELECTIVES ½
Sports Law 3
Introduction to Computer Science 3


SEMESTER - II CREDITS COURSE
CORE
Mathematics for Intelligent System 2 2
Database Management System 3
Macro Economics 3
Human Resource Management 3
SCHOOL ELECTIVES 2/2
Operation Research and Optimization Techniques 2
Discrete Mathematics 2
Computer Organization and Architecture 2
Strategic Management 3
Data Structures and Algorithms 2
SPECIAL ELECTIVES 1/2
Managing Stakeholder in Sports 2
Business Statistics 3

Page 26

SEMESTER – II
Course Code:
TIMUAIS2C1 Course Title: Mathematics for Intelligent
System 2 Credits: 2 Lectures/Week:3
Learning Objectives:
 Learn the tools of power series and Fourier series to analyze engineering
problems and apply the concept of convergence of infinite series in many
approximation techniques in engineering disciplines.
 Apply the knowledge for addressing the real life problems which comprises o f
several variables or attributes and identify extremum points of different
surfaces of higher dimensions
 Understand different types of matrices, their eigen values, eigen vectors, rank
and also their orthogonal transformations which are essential for understanding
physical and engineering problems
Course Description: The objective of this course to provide the students a knowledge of
Sequence and series, matrices, vector spaces.
Unit I Sequence and Series: Convergence of sequence and series, tests for
convergence; Power series, Taylor's series, series for exponential,
trigonometric and logarithm functions; Fourier series: Half range
sine
and cosine series, Parseval’s theorem Hours
7
Unit II Multivariate Calculus: Limit, continuity and partial derivatives,
Directional derivatives, Total derivative; Tangent plane and normal
line; Maxima, minima and saddle points; Method of Lagrange
multipliers;
Gradient, Curl and Divergence.
7
Unit III Matrices: Inverse and rank of a matrix, Rank -nullity theorem;
System of linear equations; Symmetric, Skew -symmetric and
Orthogonal matrices; Determinants; Eigenvalues and Eigenvectors;
Diagonalization of matrices; Cayley -Hamilton
Theorem, and Orthogonal transformation
5
Unit IV Vector Spaces: Vector Space, linear dependence of vectors, Basis,
Dimension; Linear transformations (maps), Range and Kernel of a
linear map, Rank and Nullity, Inverse of a linear transformation,
Rank - Nullity theorem, composition of linear maps, Matrix
associated with a linear map 6
Unit V Vector Spaces (Continued): Eigenvalues, Eigenvectors, Symmetric,
Skew -symmetric, and Orthogonal Matrices, Eigenbases.
Diagonalization; Inner product spaces, Gram-Schmidt
orthogonalization. 5
References:
1. Reena Garg, Engineering Mathematics -I, Khanna Publishers.

Page 27

2. Erwin Kreyszig, Advanced Engineering Mathematics, John Wiley & Sons
3. Michael Greenberg, Advanced Engineering Mathematics, Pearson.
4. B.S. Grewal, Higher Engineering Mathematics, Khanna Publishers.
5. Kanti B. Dutta, Mathematical Methods of Science and Engineering, Cenage Learning.
6. Veerarajan T., Engineering Mathematics for first year, Tata McGraw -Hill, New
Delhi.
7. S.K. Mapa, Higher Algebra: Abstract and Linear, Sarat Book House Pvt.Ltd.
8. Hoffman and Kunze: Linear algebra, PHI.

Page 28

SEMESTER – II
Course Code:
TIMUAIS2C2 Course Title: Database Management
System Credits: 3 Lectures/Week:3
Learning Objectives:
 To understand the different issues involved in the design and implementation
of a database system.
 To study the physical and logical database designs, database modeling,
relational, hierarchical, and network models
 To understand and use data manipulation language to query, update, and
manage a database
 To develop an understanding of essential DBMS concepts such as: database
security, integrity, concurrency, distributed database, and intelligent database,
Client/Server (Database Server), Data Warehousing.
 To design and build a simple database system and d emonstrate competence
with the fundamental tasks involved with modeling, designing, and
implementing a DBMS.
 To understand the different issues involved in the design and implementation of
a database system.
Course Description: The objective of this course is to introduce the fundamental concepts
and issues of managing large volume of shared data in a parallel and
distributed environment, and to provide insight into related research problems
Unit I Database system architecture: Data Abstraction, Data
Independence, Data Definition Language(DDL),Data Manipulation
Language(DML). Data models: Entity -relationship model, network
model, relational and object oriented data models,
integrity constraints, data manipulation operations Hours
4
Unit II Relational query languages: Relational algebra, Tuple and domain
relational calculus, SQL3, DDL and DML constructs, Open source
and Commercial DBMS - MYSQL, ORACLE, DB2, SQLserver.
Relational database design: Domain and data dependency,
Armstrong’s axioms, Normal forms, Dependency preservation,
Losslessdesign. Query processing and optimization: Evaluation of
relational algebra expressions, Query equivalence,
Join strategies, Query optimization algorithms
9
Unit III Storage strategies: Indices, B-trees, hashing 8
Unit IV Transaction processing: Concurrency control, ACID property,
Serializability of scheduling, Locking and timestamp based
schedulers, Multiversion and optimistic Concurrency Control
schemes, Database
recovery 6

Page 29

Unit V Database Security: Authentication, Authorization
and access control, DAC, MAC and RBAC models, Intrusion
detection, SQL injection. 4
References:
1. Database System Concepts” , 6th Edition by Abraham Silberschatz, Henry F.
Korth, S. Sudarshan,McGraw -Hill.
2. “Principles of Database and Knowledge – Base Systems”, Vol 1 by J. D. Ullman,
Computer Science Press.
3. Database Management Systems, R.P. Mahapatra, Khanna Publishing House, New Delhi
(AICTE Recommended Textbook – 2018)

Database Management System Lab 14 hours
Topics to be covered: Structured Query Language
1. Creating Database
 Creating a Database Creating a
Table Specifying Relational Data
Types Specifying Constraints
Creating Indexes
2. Table and Record Handling INSERT
statement Using SELECT and INSERT
together DELETE, UPDATE, TRUNCATE
statements DROP, ALTER statements
3. Retrieving Data from a Database 1.
The SELECT statement 2. Using the
WHERE clause 3. Using Logical
Operators in the WHERE clause
4. Using IN, BETWEEN, LIKE , ORDER
BY, GROUP BY and HAVING Clause
5. Using Aggregate Functions
6. Combining Tables Using JOINS
7. Subqueries
8. Database Management Creating
Views Creating Column Aliases
Creating Database Users Using
GRANT and REVOKE

Page 30

SEMESTER – II
Course Code:
TIMUAIS2C3 Course Title: Macroeconomics Credits: 3 Lectures/Week:3
Learning Objectives:
 Overview of economic models with special emphasis on the Indian economy
 Introduction to policies and policy making
 Understanding the economic cycle
Course Description: Thiscourse is intended to provide students with an overarching view of how the
economy functions. Economic models and policies are introduced in the framework of the Indian
economy to make it relevant for students to understand and relate to.
Unit I  Overview of Indian Economy, Trends towards market economy,
problems of underdevelopment –
 meaning, Main problems, reasons, of underdevelopment.
Development - Factors and measure, Meaning of
 Economic development, National income, Per capital income,
Quality of life, Capital Formation –
 Savings, Investment. Hours
8
Unit II  Planning in India, Meaning, Importance, Main reasons of
adopting, planning in India, Objectives of
 planning, Economic development, moderation, stability, self
sufficiency, employment etc, foreign aid,
 Employment. Allocation of Resources, Private and Public
Sector, Public Sector – role and growth,
 Achievements of the public sector, Private Sector – Importance
Problems, New foreign Trade Policy
14
Unit III  Present Economic Policy, Main feature, Globalization,
Expansion of Private sector, more market orient
 approach. Public distribution system, Industrial policy – 1948,
1956, 1977, 1980, 1990, 1991, 2000 - 2001
 Industrial Licensing, Monetary and Fiscal Policy.
14
Unit IV Case studies on policy making
Market survey activities to understand real world economic cycles 9
References:
 Indian Economy - A. N. Agarwal
 Indian Economy – Mishra & Puri
 Indian Devlopment and planning – M. L. Jhingan
 Indian Economy – R. S. Rastogi
 Yozna and Kurukshetra Magazines

Page 31

SEMESTER – II
Course Code:
TIMUAIS2C4 Course Title: Human Resource
Management Credits: 3 Lectures/Week:3
Learning Objectives:
 Understanding functioning of human resource in an organizational setting
 Understanding different components of a job in the work place
Course Description: This course is specifically designed for students to be introduced to the work
environment outside of the school and college environment that they are used to. This course is a
stepping stone to creating managers as well as efficient employees in the workplace.
Unit I Natural and scope of HRM - Meaning, function, objective, scope, internal
& external HRD in India,
Human Resource Planning of Development – Meaning Factors effecting
HRP Planning Process. Hours
10
Unit II Job Analysis and Job design requirement, selection placement training &
development.
Compensation – Performance Appraisal, Job evaluation, remuneration,
incentive payments, employed benefits and specious. 10
Unit III Employee Welfare – Welfare measure, safety and health, promotion
transfer Grievances in India Industry.
Industry relation and industrial disputes in India their resolution, role of
trade union, working participation in Management. 11
Unit IV HBR case studies – reading, analysing and presentations Negotiation
exercise in class – group activity 14
References:
 Human Resources Development – Rao, Verma Khandelwal
 Human Resources Development – Nadler & Lenonard
 Dessler, G. Fundamentals of Human Resource Management (4th Edition, Pearson)

Page 32

SEMESTER – II
Course Code:
TIMUAIS2SCE1 Course Title: : Operation Research and
Optimization Techniques Credits: 2 Lectures/Week:3
Learning Objectives:
 To study the various Operations Research tools,
 To study to apply an appropriate model to the given situation.
 To formulate the problem.
 To solve and analyze the problems on Operations Research.
Course Description: The objective of this courses to provide the students a knowledge of
optimization techniques including linear programming problems , network analysis, game
theory.
Unit I Introduction to OR Modeling Approach and Various
Real Life Situations Hours
3
Unit II Linear Programming Problems (LPP) : Basic LPP and Applications ;
Various Components of LP Problem
Formulation 5
Unit III Solving Linear Programming Problems : Solving LPP
: Using Simultaneous Equations and Graphical Method ; Simplex
Method ; Duality Theory ; Charnes’ Big – M Method .
Transportation Problems and
Assignment Problems
5
Unit IV Network Analysis : Shortest Path : Dijkstra Algorithm ; Floyd
Algorithm ; Maximal Flow Problem 7L (Ford -Fulkerson); PERT -CPM
(Cost Analysis,
Crashing, Resource Allocation excluded) . 7
Unit V Inventory Control : Introduction ; EOQ Models ; Deterministic
and probabilistic Models ; 5L Safety
Stock ; Buffer Stock. 5
Unit VI Game Theory : Introduction ; 2- person Zero – sum Game; Saddle
Point ; Mini -Max and 6L Maxi -Min Theorems (statement only);
Games without saddle
point ; Graphical Method ; Principle of Dominance 5
References:
1. H.A. Taha, “ Operations Research”, Fifth Edn. Macmillan Publishing
Company, 1992.
2. Kanti Swaroop – “ Operations Research”
3. Hadley G., “Linear Programming” Narosa Publishers, 1987
4. Hillier F.& Liebermann G.J., “Operations Research”, Holder Day Inc, 1974

Page 33

SEMESTER – II
Course Code:
TIMUAIS2SCE2 Course Title: Discrete Mathematics Credits: 2 Lectures/Week:3
Learning Objectives:
 Use mathematically correct terminology and notation.
 Construct correct direct and indirect proofs.
 To know Syntax, Semantics, Validity and Satisfiability, Graphs and Trees
 Use counterexamples. Apply logical reasoning to solve a variety of problems
Course Description: The objective of this courses to provide the students a basic knowledge
of sets, relations, functions, propositional logic, algebraic structure and morphism.
Unit I Sets, Relation and Function: Operations and Laws of Sets,
Cartesian Products, Binary Relation, Partial Ordering Relation,
Equivalence Relation, Image of a Set, Sum and Product of
Functions, Bijective functions, Inverse and Composite Function,
Size of a Set, Finite and infinite Sets, Countable and uncountable
Sets, Cantor's diagonal argument and The Power Set theorem,
Schroeder -Bernstein theorem. Principles of Mathema tical
Induction: The Well - Ordering Principle, Recursive definition, The
Division algorithm: Prime Numbers, The Greatest Common
Divisor: Euclidean Algorithm, The
Fundamental Theorem of Arithmetic Hours
7
Unit II Basic counting techniques -inclusion and exclusion,
pigeon -hole principle, permutation and combination
4
Unit III Propositional Logic: Syntax, Semantics, Validity and Satisfiability,
Basic Connectives and Truth Tables,Logical Equivalence: The Laws
of Logic, Logical Implication, Rules of Inference, The use of
Quantifiers. Proof Techniques: Some Terminology, Proof Methods
and Strategies, Forward Proof, Proof by Contradiction, Proof by
Contraposition, Proof of
Necessity and Sufficiency


6
Unit IV Algebraic Structures and Morphism: Algebraic Structures with one
Binary Operation, Semi Groups, Monoids, Groups, Congruence
Relation and Quotient Structures, Free and Cyclic Monoids and
Groups, Permutation Groups, Substructures, Normal Subgroups,
Algebraic Structures with two Binary Operation, Rings, Integral
Domain and Fields. Boolean Algebra and Boolean Ring, Identities
of Boolean Algebra, Duality, Representation of Boolean Function,
Disjunctive and Conjunctive
Normal Form 7

Page 34

Unit V Graphs and Trees: Graphs and their properties, Degree,
Connectivity, Path, Cycle, Sub Graph, Isomorphism, Eulerian and
Hamiltonian Walks, Graph Colouring, Colouring maps and Planar
Graphs, Colouring Vertices, Colouring Edges, List Colouring,
Perfect Graph, definition properties and Example, rooted trees,
trees and sorting, weighted trees and prefix codes, Bi -connected
component and
Articulation Points, Shortest distances 6
References:
1. Russell Merris, Combinatorics, Wiley -Interscience series in Discrete
Mathematics and Optimisation 2. N. Chandrasekaran and M. Umaparvathi,
Discrete Mathematics, PHI
3. Gary Haggard, John Schlipf and Sue Whitesides, Discrete Mathematics
forComputer Science, CENGAGE Learning
4. Gary Chartrand and Ping Zhang – Introduction to Graph Theory,TMH
5. J.K. Sharma, Discrete Mathematics, Macmillan
6. Winfried Karl Grassmann and Jean -Paul Tremblay, Logic and
DiscreteMathematics, PEARSON.
7. S. K. Chakraborty and B. K. Sarkar, Discrete Mathematics, OXFORD University Press.
8. Douglas B. West, Introduction to graph Theory, PHI.

Page 35

SEMESTER – II
Course Code:
TIMUAIS2SCE3 Course Title: Computer Organization and
Architecture Credits: 2 Lectures/Week:3
 Learning Objectives: To understand the structure, function and characteristics
of computer systems.
 To understand the design of the various functional units and components of
computers.
 To identify the elements of modern instructions sets and their impact on
processor design.
 To explain the function of each element of a memory hierarchy,
 To identify and compare different methods for computer I/O.
Course Description: The objective of this courses to provide the students basic
organization of stored program computer and operation sequence , ALU and CU
organization.
Unit I Basic organization of the stored program computer and operation
sequence for execution of a program. Role of operating systems
and compiler/assembler. Fetch, decode and execute cycle,
Concept of operator, operand, registers and storage, Instruction
format. Instruction sets and addressing modes Hours
8
Unit II Overflow and underflow. Design of adders - ripple carry and carry
look ahead principles. Design of ALU.Fixed point multiplication -
Booth's algorithm. Fixed point division - Restoring and non-
restoring
algorithms. Floating point - IEEE 754 standard. 6
Unit III Memory unit design with special emphasis on implementation of
CPU -memory interfacing. Memory organization, static and
dynamic memory, memory hierarchy, associative memory. Cache
memory, Virtual memory. Data path design for
read/write access. 8
Unit IV Design of control unit - hardwired and microprogrammed
control. Introduction to instruction
pipelining. Introduction to RISC architectures. RISC vs CISC
architectures. I/O operations - Concept of handshaking, Polled
I/O,
interrupt and DMA. 8
References:
1. Mano, M.M., “Computer System Architecture”, PHI.
2. BehroozParhami“ Computer Architecture”, Oxford University Press
3. N. senthil Kumar, M. Saravanan, S. Jeevananthan, “Microprocessors and
Microcontrollers” OUP
4. Chaudhuri P. Pal, “Computer Organisation & Design”, PHI,

Page 36

5. P N Basu - “Computer Organization & Architecture” ,Vikas Pub

Page 37

Semester -II
Course Code:
TIMUMSS2C4 Course Title: Strategic Management Credits:
3 Lectures
/Week: 3
Learning Objectives
 Analyse the main structural features of an industry and develop strategies that
position the firm most favourably in relation to competition and influence industry
structure to enhance industry attractiveness.
 Demonstrate understanding of the concept of competitive advantage and its sources
and the ability to recognize it in real-world scenarios.
Course Description:
This course introduces the key concepts, tools, and principles of strategy formulation and
competitive analysis. It is concerned with managerial decisions and actions that affect the
performance and survival of businesses. The course is focused on the information, analyses,
organizational processes, and skills and business judgment managers must use to devise
strategies, position their businesses, define firm boundaries and maximize long -term profits
in the face of uncertainty and competition.
Unit I Significance of Planning – types, needs, requisites,
corporate planning system – approach, role of planner,
corporate planning & budgeting, corporate
responsibility Vs profitability and productivity.
Corporate Objective – concept of corporate purpose,
mission, objectives and goals process of setting
corporate objectives. Forces intersecting with corporate
objectives external and internal.



10
Unit – II Strategy Formulation – identifying strategic alternatives
of business, objectives and goals, environmental
appraisal – concept and components evaluation and
strategic option key involved in the evolution.
Strategy implementation – Introduction to growth
strategies. Diversification, acquiring, merger and joint
venture.


10
Unit – III Organizing the strategies implementation operations,
developing production, marketing and financial
strategies.


11

Page 38

Organizational apparition – dynamics, capacity, factors
consideration, methods and techniques and structuring
gaps analysis, manager, audit and significance of gap.
Unit – IV Strategic management performance systems case
studies
Guest lectures
In-class scenarios and role play 14
References
Grant, R. and Jordan, J. 2012. Foundations of Strategy. NY: John Wiley &Sons, Ltd.
Case studies as required.

Page 39

SEMESTER – II
Course Code:
TIMUAIS2SCE5 Course Title: Data Structure and Algorithms Credits: 2 Lectures/Week:3
Learning Objectives:
 To understand data organization, deletion, traversal and other related
terminologies
 To understand linear and non-linear data structures like stacks, queues, linked
lists, trees
 To understand searching and sorting techniques
Course Description: The objective of this courses to provide the students a in depth
idea of storing and organizing data including linear and non – linear data strutures
Unit I Introduction: Basic Terminologies: Elementary Data
Organizations, Data Structure Operations: insertion, deletion,
traversal etc.; Analysis of an Algorithm, Asymptotic Notations,
Time -Space trade off. Searching: Linear Search and Binary Search
Techniques and their complexity analysis. Hours
4
Unit II Stacks and Queues: ADT Stack and its operations : Algorithms
and their complexity analysis, Applications of Stacks: Expression
Conversion and evaluation – correspondingalgorithms and
complexity analysis. ADT queue, Types of Queue: Simple Queue,
CircularQueue, Priority Queue;
Operations on each types of Queues: Algorithms and their analysis.
5
Unit III Linked Lists: Singly linked lists: Representation in memory,
Algorithms of severaloperations: Traversing, Searching, Insertion
into, Deletion from linked list; Linkedrepresentation of Stack and
Queue, Header nodes, Doubly linked list: operations on it
andalgorithmic analysis; Circular Linked Lists: all operations their
algorithms and
thecomplexity analysis.


5
Unit IV Trees: Basic Tree Terminologies, Different types of Trees: Binary
Tree, Threaded Binary Tree, Binary Search Tree, AVL Tree; Tree
operations on each of the trees and theiralgorithms with
complexity analysis. Applications of Binary Trees. B Tree, B+
Tree:definitions, algorithms and analysis. 4
Unit V Sorting and Hashing: Objective and properties of different
sorting algorithms:Selection Sort, Bubble Sort, Insertion Sort,
Quick Sort, Merge Sort, Heap Sort;Performance and Comparison
among all the methods, Hashing.Graph: Basic Terminologies and
Representations, Graph search and traversal
algorithms and complexity analysis 3
References:

Page 40

Data Structure and Algorithm Lab No of Lab required: 9(1 hours each)
LIST OF PROGRAMS:  To write, test, and debug data structure
programs
 To implement linear data structures
 To implement non-linear data structure
 To implement searching sorting algorithms
 Implementation of array operations:
Stacks and Queues: adding, deleting elements
Circular Queue: Adding & deleting elements
Merging Problem :
 Evaluation of expressions
operations on Multiple stacks &queues :
 Implementation of linked lists: inserting,
deleting, inverting a linked list.
 Implementation of stacks & queues using linked
lists: Polynomial addition, Polynomial
multiplication Sparse Matrices Multiplication,
addition.
 Recursive and Non -recursive traversal of Trees
Threaded binary tree traversal. AVL tree
implementation Application of Trees.
 Application of sorting and searching algorithms
Hash tables implementation: searching,
inserting and deleting, searching
& sorting techniques. 1. “Data Structures And Program Design In C”, 2/E by Robert L. Kruse, Bruce P.
Leung.
2. “Fundamentals of Data Structures of C” by Ellis Horowitz, Sartaj Sahni, Susan
Anderson -freed.
3. “Data Structures in C” by Aaron M. Tenenbaum.
4. “Data Structures” by S. Lipschutz.
5. “Data Structures Using C” by ReemaThareja.
6. “Data Structure Using C”, 2/e by A.K. Rath, A. K. Jagadev.
7. “Introduction to Algorithms” by Thomas H. Cormen, Charles E. Leiserson, Ronald
L. Rivest, Clifford Stein.

Page 41

SEMESTER – II
Course Code:
TIMUAIS1SPE1 Course Title: Managing Stakeholder in
Sports Credits: 2 Lectures/Week:3
Learning Objectives:
 To understand the structure, goal and resources of the old and new actors in the sports
world
 To be able to draw a map of the Olympic stakeholders and be familiar with the acronyms
of major sports organisations
 To understand people, leadership and how operations can be best understood from that
lens.
Course Description: Human capital is a key factor of corporate performance. On completion of this
course, participants should be able to explain why and how various stakeholders/ human factors
influence performance in several professional situations, at individual, interpersonal and
organizational levels
Unit I Stakeholder Theory: Hours
- Managerial Decision -Making about Stakeholders
- Conceptual Framework 10
- Previous Stakeholder Management Research Methods
o Research Sample
o Research Design
o Data Collection
o Data Analysis
o Validity and Reliability
- Identifying Stakeholders and Stakeholder Characteristics
o Stakeholder Prioritization
o Stakeholder Relationship Characteristics
Unit II Managing Operations, People and Leadership:
- Analysis of types of Sports Operations
- Planning, managing and evaluating operational
resources (Operating Environment,
Nature, Governance, Management of Change).
- Critical Awareness of complexities of Human Resource
Management
- Leadership Theory as applied to Sports Organizations
- Importance of Stakeholders, collaborators and delivery in a
sports organization
- Case Study on Olympics and the organizational structure
involving multiple stakeholders for smooth operations
(Stakeholders of the Olympic System).
- Corporate Diplomacy
- Information Management and Information Technology
11

Page 42

Unit III Communication and Stakeholder Management:
- Strategic Management (Human Resource Management,
Developing Strategy, Recruiting and Motivating,
Development through training, developing skills)
- Legislations, Policy, Governance
Effective Communication Strategies
- Analyse the value of effective communication and
stakeholder management practices across different
contexts
- Determine appropriate tools and strategies for managing
individuals, teams and organizations
- Performance Management and Performance
Measurement
- Analyse how effective performance management can
improve the health of a team, organisation or business
- Use of technological developments and data management
practices to improve communication amongst stakeholders.
10
Unit IV Case Study:
- Importance of ethics and sportsmanship (working towards
a common goal)
- Unique Business challenges posed through sports
- Solve sports management challenges in a real-world
context using key business principles
- Investigate business aspects of sports management within
your community or organisation.
- Volunteer Management System
- Accreditation Systems
- Organising Amenities, Sites and Spaces. 11
References:
1. Pot N, Schenk N, Van Hilvoorde I. School sports and identity formation: Socialisation
or selection? European Journal of sport science. 2014;14(5):484 -91.
[DOI:10.1080/17461391.2013.873483 ] [PMID ]
2. Ho D, Lee M. Capacity building for school development: current problems and future
challenges. School Leadership & Management. 2016;36(5):493 -507.
[DOI:10.1080/13632434.2016.1247040 ]
3. Hogan A, Stylianou M. School -based sports development and the role of NSOs as
'boundary spanners': benefits, disbenefits and unintended consequences of the
Sporting Schools policy initiative. Sport, Education and Society. 2018;23(4):367 -80.
[DOI:10.1080/13573322.2016.1184638 ]
4. Freeman RE. Divergent stakeholder theory. Academy of management review.
1999;24(2):233 -6. https://doi.org/10.2307/259078
[DOI:10.5465/amr.1999.1893932 ]
5. Phillpots L. An analysis of the policy process for physical education and school sport:
the rise and demise of scho ol sport partnerships. International journal of sport policy and
politics. 2013;5(2):193 -211. [DOI:10.1080/19406940.2012.666558 ]

Page 43

SEMESTER – II
Course Code:
TIMUAIS2SPE2 Course Title: Business Statistics Credits: 3 Lectures/Week:3
Learning Objectives:
Course Description:
Unit I Introduction to Statistics – Origin, meaning and purpose of statistics.
Scope and limitations of statistics. Science or Art and sit rust of
statistics. Collection and presentation of data. Sources and methods of
data collection. Principles of data classification. Tabulation of data.
Frequency Distributions and measures of central tendency –
Frequency Distribution and graphic representation of
frequency distributions.
Measures of Central Tendency – Arithmetic Geometric and Harmonic
mean. Mean Mode, Merits and demerits of Mean, Mode and Median
Measures of Variations – Skewness and Dispersion. Hours
15
Unit II Correlation and Regression Analysis: Introduction to Correlation and
Regression. Simple linear regression model and coefficients of regression.
Correlation
Analysis – Significance and types of correlation, Methods of
Correlation analysis – Scatter, diagram Karl Pearson’s, coefficient,
Rank correlation and method of least squares, standard Error of
estimates,
Time series Analysis – Introduction, Utility of time series analysis,
Components and analysis of time series. Measuring Trends of time series,
semi -average, moving averages and method of least squares.
15
Unit III Sampling Theory – Introduction to sampling, purpose, principles and
method of sampling. Types of sampling, sample size, sampling and Non -
Sampling errors, Central limit theorem. Tests of Hypothesis. Index
numbers their characteristics and untidy. Methods of constructing Index
numbers, problems in construction of Index Numbers Limitation soft
Index numbers.
15
References:
 Business Statistics – S. P. Gupta & M. P. Gupta
 Statistical Methods – S. P. Gupta & M. P. Gupta
 Statistic for Management – Jit, Chandan Das





*Curated by TransStadia Institute - Centre of Excellence, Mumbai

Page 44

FEE STRUCTURE

BSc (Artificial Intelligence & Sports Analytics)
First Year


Particulars Fee Category

J and K
Students
(need to be
confirm)

NRI Student
Out side
Maharashtra
(equal to open)
within
Maharashtra
(Open
Category)
within
Maharashtra
(Reserved) University
Fees for
Students
without
Eligibility
ID Card 25 25 25 25 25 25
Admission Form / Application
Form Fees 50 50 50 50 50 50
Group Insurance 20 20 20 20 20 20
Ashvamedha 20 20 20 20 20 20
Admission processing fees 60 60 60 60 60 60
Dip Registration 15 15 15 15 15 15
Other Fee 125 125 125 125 125 125
Gymkhana Fees 190 190 190 190 190 190
Students welfare 500 500 500 500 500 500
Vice Chancellor's Fund 20 20 20 20 20 20
Eligibility Fees 500 500 500 500 500 500
Disaster Relief Fund 10 10 10 10 10 10
Development Fee 1,173 1,173 1,173 1,173 1,173 1,173
Exam Fee 700 700 700 700 700 700
Caution Money Deposit - - - - - -
Tuition Fee 1,61,592 7,00,000 1,61,592 1,61,592 -
1,61,592
Library Fee 1,000 1,000 1,000 1,000 1,000 1,000
Site Visit 5,000 10,000 5,000 5,000 5,000 5,000
IT Lab 20,000 10,000 20,000 20,000 20,000
20,000
Seminars (Industry Experts) 15,000 15,000 15,000 15,000 15,000 15,000
Sports Equipment 5,000 10,000 5,000 5,000 5,000 5,000
Kit Fee 1,000 1,000 1,000 1,000 1,000 1,000
Students' Activity 3,000 3,000 3,000 3,000 3,000 3,000
Total Amount 2,15,000 7,53,408 2,15,000 2,15,000 53,408
2,15,000

Page 45

BSc (Artificial Intelligence & Sports Analytics)
Second Year


Particulars Fee Category
J and K
Students
(need to
be
confirm)

NRI
Student
Out side
Maharashtra
(equal to
open)
within
Maharashtra
(Open
Category)
within
Maharashtra
(Reserved) University
Fees for
Students
without
Eligibility
ID Card 25 25 25 25 25 25
Admission Form /
Application Form Fees 50 50 50 50 50 50
Group Insurance 20 20 20 20 20 20
Ashvamedha 20 20 20 20 20 20
Admission processing
fees 60 60 60 60 60 60
Dip Registration 15 15 15 15 15 15
Other Fee 125 125 125 125 125 125
Gymkhana Fees 190 190 190 190 190 190
Students welfare 500 500 500 500 500 500
Vice Chancellor's Fund 20 20 20 20 20 20
Eligibility Fees 500 500 500 500 500 500
Disaster Relief Fund 10 10 10 10 10 10
Development Fee 1,173 1,173 1,173 1,173 1,173 1,173
Exam Fee 700 700 700 700 700 700
Caution Money Deposit - - - - - -
Tuition Fee
1,61,592
7,00,000 1,61,592 1,61,592 -
1,61,592
Library Fee 1,000 1,000 1,000 1,000 1,000 1,000
Site Visit 5,000
10,000 5,000 5,000 5,000 5,000
IT Lab
20,000
10,000 20,000 20,000 20,000
20,000
Seminars (Industry
Experts)
15,000
15,000 15,000 15,000 15,000
15,000
Sports Equipment 5,000
10,000 5,000 5,000 5,000 5,000
Kit Fee 1,000 1,000 1,000 1,000 1,000 1,000
Students' Activity 3,000 3,000 3,000 3,000 3,000 3,000
Total Amount
2,15,000
7,53,408 2,15,000 2,15,000 53,408
2,15,000

Page 46

BSc (Artificial Intelligence & Sports Analytics)
Third Year


Particulars Fee Category

J and K
Students
(need to be
confirm)

NRI Student
Out side
Maharashtra
(equal to open)
within
Maharashtra
(Open
Category)
within
Maharashtra
(Reserved) University
Fees for
Students
without
Eligibility
ID Card 25 25 25 25 25 25
Admission Form / Application
Form Fees 50 50 50 50 50 50
Group Insurance 20 20 20 20 20 20
Ashvamedha 20 20 20 20 20 20
Admission processing fees 60 60 60 60 60 60
Dip Registration 15 15 15 15 15 15
Other Fee 125 125 125 125 125 125
Gymkhana Fees 190 190 190 190 190 190
Students welfare 500 500 500 500 500 500
Vice Chancellor's Fund 20 20 20 20 20 20
Eligibility Fees 500 500 500 500 500 500
Disaster Relief Fund 10 10 10 10 10 10
Development Fee 1,173 1,173 1,173 1,173 1,173 1,173
Exam Fee 700 700 700 700 700 700
Caution Money Deposit - - - - - -
Tuition Fee 1,61,592 7,00,000 1,61,592 1,61,592 -
1,61,592
Library Fee 1,000 1,000 1,000 1,000 1,000 1,000
Site Visit 5,000 10,000 5,000 5,000 5,000 5,000
IT Lab 20,000 10,000 20,000 20,000 20,000
20,000
Seminars (Industry Experts) 15,000 15,000 15,000 15,000 15,000
15,000
Sports Equipment 5,000 10,000 5,000 5,000 5,000 5,000
Kit Fee 1,000 1,000 1,000 1,000 1,000 1,000
Students' Activity 3,000 3,000 3,000 3,000 3,000 3,000
Total Amount 2,15,000 7,53,408 2,15,000 2,15,000 53,408
2,15,000

Page 47