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

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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.

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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

## Page 25

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