## Vide Item No 69 5N BSc Data Science and Sports Studies 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 (5)

UNIVERSITY OF MUMBAI

Program: Undergraduate Degree Program

Course: B.Sc. (Data Science and Sports Studies)

SEMESTER - I & II

(As per Choice Based and Credit System)

(Introduced with effect from the academic year 2021 -22)

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BSc. (Data Science and Sports Studies )

Semester – I & II

SEMESTER - I

CREDITS COURSE

CORE

Mathematics –I 3

Communication 3

Accountancy 3

Principles of Management 3

SCHOOL ELECTIVES 2/5

Introduction to IT 2

Principals of Electronics 2

Digital Logic 2

Problem Solving Through Programming 3

Fundamental of Internet of Things 3

SPECIAL ELECTIVES ½

Sports Law 3

Culture and heritage of Sports 2

SEMESTER - II

CREDITS COURSE

CORE

Mathematics -II 2

Strategic Management 3

Macro Economics 3

Human Resource Management 3

SCHOOL ELECTIVES 2/5

Data Science: An Introduction 2

Python Programming 2

Data Structure and Algorithm 2

Formal Language and Automata Theory 2

Business Ethics 3

SPECIAL ELECTIVES ½

Sports Data: Retrieval and Analysis: An Introduction 3

Sports Media and Communication 3

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Semester –I

Course

Code:

TIMUDSS1C1 Course Title: Mathematics -1 Credits:

2 Lectures

/Week: 3

Learning Objectives

Apply the concept and techniques of differential and integral calculus to

determine curvature and evaluation of different types of improper integrals.

Understand the domain of applications of mean value theorems to engineering

problems.

Learn different types of matrices, concept of rank, methods of matrix inversion

and their applications.

Understand linear spaces, its basis and dimension with corresponding applications

in the field of computer science.

Learn and apply the concept of eigen values, eigen vectors, diagonalisation of

matrices and orthogonalization in inner product spaces for understanding physical

and engineering problems

Course Description: : The main objective of this course is to provide students knowledge of

calculus, probability , distribution and statistics.

Unit I Calculus (Integration): Evolutes and involutes; Evaluation

of definite and improper integrals; Beta and Gamma

functions and their properties; Applications of definite

integrals to evaluate surface areas and volumes of

revolutions. 5

Unit – II Module -2

Calculus (Differentiation): Rolle’s Theorem, Mean value

theorems, Taylor’s and Maclaurin’s theorems with

remainders; Indeterminate forms and L'Hospital's rule;

Maxima and minima. 5

Unit – III Module -3

Basic Probability: Probability spaces, conditional

probability, independence; Discrete random variables,

Independent random variables, the Multinomial

distribution, Poisson approximation to the Binomial

distribution, infinite sequences of Bernoulli trials, sums

of independent random variables; Expectation of

Discrete Random Variables, Moments, Variance of a

sum, Correlation coefficient, Chebyshev's Inequality. 5

Unit -IV Module -4

Continuous Probability Distributions: Continuous

random variables and their properties, Distribution

functions and densities, Normal, Exponential and

Gamma densities. 4

Unit -V Module -5 5

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Basic Statistics: Measures of Central tendency,

Moments, Skewness and Kurtosis, Probability

distributions: Binomial, Poisson and Normal and

evaluation of statistical parameters for these three

distributions, Correlation and regression – Rank

correlation.

Unit -VI Module -6

Applied Statistics: Curve fitting by the method of least

squares - fitting of straight lines, second degree parabolas

and more general curves. Test of significance: Large

sample test for single proportion, difference of

proportions, single mean, difference of means, and

difference of standard deviations. 6

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:

TIMUDSS1C2 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

develop 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. 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:

TIMUDSS1C3 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. 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 &

preparation, 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 5

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Reading, analysing and presentation

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:

TIMUDSS1C4 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 individuals 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. 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

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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 4

lectures (2 hours each + Presentations) 5

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:

TIMUDSS1SCE1 Course Title: Introduction to IT Credits:

2 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

Computerteaching 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

Hardwareteaching hours:

Introduction; Central Processing Unit; Memory Unit;

Instruction Format; Instructio n 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 6

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 8

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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

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 6

Unit – IV 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 5

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2. The Computer System

Hardwareteaching 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

Unit -V 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 Codin g Schemes; Logic Gates

6. Computer Software

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) 5

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

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Semester -I

Course

Code:

TIMUDSS1SCE2 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 co me 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, oscillators.

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. 10

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 6

Unit – III FET – Configuration and characteristics, FET amplifier,

Characteristics and simple applications of SCR, Diac, Triac

and UJT. 8

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. 6

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 5th 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:

TIMUDSS1SCE4

Course Title: Problem Solving through

Programming

Credits:

2

Lectures

/Week: 3

Learning Objectives :

Develop efficient algorithms for solving a problem.

Use the various constructs of a programming language viz. conditional, iteration

and recursion. • Implement the algorithms in “C” language.

Use simple data structures like arrays, stacks and linked list in solving problems.

Handling File in “C”

Course Description: The objective of this courses to provide the students a knowledge of

c programming environment to create , implement and debug programs.

Unit I Introduction to Programming : How to develop a

program, Algorithms, Flow -charts, Types of

Programming Languages,Compiler and Linker, Testing

and Debugging a program, Documentation

2

Unit – II Constants, Variables & Data Types : Character set, C

Tokens, Identifiers and Keywords, Constants, Variables,

Data types,Declaration of variables, declaration of

storage class, assigning values to variables, defining

symbolic constants, declaring a variable as constant,

declaring a variable as volatile, overflow and underflow

of data

2

Unit – III Operators and Expressions: Arithmetic operators,

Relational, Logical operators, Assignment, increment

and decrement operators, conditional operators,

bitwise operators, special operators, arithmetic

expressions, evaluation of arithmetic expressions,

preced ence of arithmetic expressions, some

computational problems, type conversion in

expressions, operator precedence and associativity,

mathematical functions

3

Unit -V Managing Input & output operations: Reading a

character, writing a character, formatted input,

formatted output.

Decision Making – Branching & Looping Hrs. Decision

making with IF statement, switch statement, ? :

operator, goto statement. While statement, do-while

statement, for statement, Jumps in loops,

2

Unit -VI Arrays and Strings: One dimensional array: Array

Manipulation, Different operations on one dimensional

arrays, two dimensional array, operations on two

2

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dimensional arrays, multi -dimensional array, dynamic

arrays

Declaring and initializing string variables, reading string

from terminal, writing string to screen, putting strings

together, comparison of two strings, string handling

functions, table of strings

Unit -VII Functions: Top down approach of problem solving,

standard library functions, passing values between

functions, scope rules of functions, calling convention,

return type of functions, call by value and call by

reference, recursive functions.

Storage Classes Scope and extent, Storage Classes in a

single source file: auto, extern and static, register

3

Unit - VIII Structures and Unions: Defining a structure, Declaring

Structure variables, accessing structure members,

structure initialisation, copying and comparing

structure variables, operation on individual members,

arrays of structures, arrays within structures, structures

and functions, union, size of structure, bit fields.

3

Unit - IX Understanding pointers, accessing the address of a

variable, declaring pointer variables, initialisation of

pointer variables, accessing a variable through its

pointer, chain of pointers, pointer expression, pointer

increment and scale factor, pointer and arrays, pointers

and character strings, array of pointers, pointers as

function arguments, functions returning pointers,

pointers to functions, pointers and structures.

2

References

1. E. Balagurusamy, “Programming with ANSI -C”, Fourth Edition,2008, Tata McGraw Hill.

2. R.G. Dromey, “How to solve it by Computer”, Pearson Education, 2008.

3. Kanetkar Y, “Let us C”, BPB Publications, 2007.

4. Hanly J R &Koffman E.B, “Problem Solving and Programm design in C”,

PearsonEducation, 2009.

Course Name: Problem Solving Through

Programming Lab 9 Hours( 1 e

Hours each lab)

Objective To create , implement and debug C

programs

To understand if -else, control

statements

To understand implementations of

functions

To implement array, pointers,

structures, structures

Topics to be covered Lab1: Familiarization with

programming environment

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Lab 2: Simple computational

problems using arithmetic

expressions

Lab 3: Problems involving if-then -

else structures

Lab 4: Iterative problems e.g., sum

of series

Lab 5: 1D Array manipulation

Lab 6: Matrix problems, String

operations

Lab 7: Simple functions

Lab 8 and 9: Programming for

solving Numerical methods

problems, Pointers

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Semester -I

Course

Code:

TIMUDSS1SCE5 Course Title: Fundamental of Internet of

Things Credits:

2 Lectures

/Week: 2

Learning Objectives :

Understand general concepts of Internet of Things (IoT)

Recognize various devices, sensors and applications

Apply design concept to IoT solutions

Analyze various M2M and IoT architectures

Evaluate design issues in IoT applications

Create IoT solutions using sensors, actuators and Devices

Course Description: This objective of this courses is to provide a knowledge of internet of

things including sensors and their applications, design concept of ioT solutions.

Unit I Introduction to IoT: Sensing, Actuation, Networking

basics, Communication Protocols, Sensor Networks,

Machine -to-Machine Communications, IoT Definition,

Characteristics. IoT Functional Blocks, Physical design of

IoT, Logical design of IoT, Communication models & APIs. 8

Unit – II M2M to IoT-The Vision -Introduction, From M2M to IoT,

M2M towards IoT-the global context, A use case example,

Differing Characteristics. Definitions, M2M Value Chains,

IoT Value Chains, An emerging industrial structure for IoT, 6

Unit – III IoT Reference Architecture - Getting Familiar with IoT

Architecture, Various architectural views of IoT such as

Functional, Information, Operational and Deployment.

Constraints affecting design in IoT world - Introduction,

Technical design Constraints 8

Unit - IV Domain specific applications of IoT: Home automation,

Industry applications, Surveillance applications, Other IoT

application. 8

References

1. Jan Holler, Vlasios Tsiatsis, Catherine Mulligan, Stefan Avesand, Stamatis Karnouskos,

David Boyle, “From Machine -to-Machine to the Internet of Things: Introduction to a

New Age of Intelligence”, 1st Edition, Academic Press, 2014.

2. Vijay Madisetti and Arshdeep Bahga, “Internet of Things (A Hands -onApproach)”, 1st

Edition, VPT, 2014

3. Francis d aCosta, “Rethinking the Internet of Things: A Scalable Approach to

Connecting Everything”, 1st Edition, Apress Publications, 2013

4. Cuno Pfister, Getting Started with the Internet of Things, O‟Reilly Media, 2011, ISBN:

978-1-4493 - 9357 -1

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Semester -I

Course

Code:

TIMUDSS1SPE1 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

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 of object & 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:

TIMUDSS1SPE2 Course Title: Culture and Heritage of Sport Credits: 1 Lectures/Week:

Learning Objectives:

1. To provide opportunities to students to deepen their knowledge of core culturalinsights

into sport and how it impacts us.

2. To equip students with knowledge and history and heritage of sports

3. To introduce to them how sport is a level playing field above all for humanity

Course Description:

Introduction to the concept of culture and heritage of sport and why it is essential in the growth and

development of sport

Unit I Introduction and Critical Approaches

1. Sports organizations: Social Class and the Evolution of Sports

Organizations

2. News Reports: Communicating the story

3. Sports, Social Norms, and social change:

4. Issues of race

1. Issues of Gender

2. The Inside Story: Sports Diaries, Race, and Social Values

3. Media, Fans and Sports in the Home

4. Sports Television and Radio

5. Sports and Film: Sports Myth and Reconstructing Race, Gender

and Patriotism in Sports Films Hours

5

Unit II Introduction of Competition in sports:

1. The Olympic Games

2. Origins and Evolution of the Game

3. Dynasties and Rivalries Legends and Traditions

4. Civil Rights and Sports

5. Defining the Impact and role of sports

6

Unit III Cultural Identity and the Sports World:

- Globalization

- Nationalism 5

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- Politics

- Cultural Identity

- Rise of Women in Sports

You Run like a girl

- Why do we care so much about sports?

- Mega business of sports?

- Preservation through sport

- Search for Adventure

- Disabilities of sport

- Accidental Role Models

- When race, religion and sport collide

- Tales of Human Spirit

Unit IV Traditional Sports and Games:

- Intangible Cultural Heritage

- Past to Future pathway

- Empowering People towards Peaceful Societies

o Olympic Solidarity

o UN’s Stand on Olympics

o Youth Empowerment

o Intercultural Dialogue

o Recognition and Safeguarding

o Sport for Development and Peace

o Legacy Planning

o Sustainability 6

Unit V Visit to a sports infrastructure

Report on legacy planning and sustainability

Management and restoration

Use and upgradation of technology

References:

*Curated by TransStadia Institute - Centre of Excellence, Mumbai

## Page 27

BSc (Data Science and Sports Studies )

Semester – I & II

SEMESTER – I

CREDITS COURSE

CORE

Mathematics –I 3

Communication -1 3

Accounting -1 3

Principles of Management 3

SCHOOL ELECTIVES 2/5

Introduction to IT 2

Principals of Electronics 2

Digital Logic 2

Problem Solving Through Programming 3

Fundamental of Internet of Things 3

SPECIAL ELECTIVES ½

Sports Law 3

Culture and heritage of Sports 2

SEMESTER - II

CREDITS COURSE

CORE

Mathematics -II 2

Strategic Management 3

Macro Economics 3

Human Resource Management 3

SCHOOL ELECTIVES 2/5

Data Science: An Introduction 2

Python Programming 2

Data Structure and Algorithm 2

Formal Language and Automata Theory 2

Business Ethics 3

SPECIAL ELECTIVES 1/2

Sports Data: Retrieval and Analysis:an Introduction 3

Sports Media and Communications 3

## Page 28

Semester –II

Course

Code:

TIMUDSS2C1 Course Title: Mathematics -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 of

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 courses 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 6

Unit – II Multivariate Calculus: Limit, continuity and partial

derivatives, Directional derivatives, Total derivative;

Tangmultivariate calculus, ent plane and normal line;

Maxima, minima and saddle points; Method of Lagrange

multipliers; Gradient, Curl and Divergence. 6

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 6

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 7

Unit -V Vector Spaces (Continued): Eigenvalues, Eigenvectors,

Symmetric, Skew -symmetric, and Orthogonal Matrices,

Eigenbases. Diagonalization; Inner product spaces,

Gram -Schmidt orthogonalization. 5

References

## Page 29

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.

## Page 30

Semester -II

Course

Code:

TIMUDSS2C2 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 31

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 32

Semester -II

Course

Code:

TIMUDSS2C3 Course Title: Macro Economics 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: This course 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.

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

## Page 33

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 34

Semester -II

Course

Code:

TIMUDSS2C4 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.

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 35

Semester -II

Course

Code:

TIMUDSS2SCE2 Course Title: Python Programming Credits:

2 Lectures

/Week: 3

Learning Objectives

To understand the python programming constructs like decision making, control

statements

To understand python data structures like tuples, lists, dictionaries

To understand functions and exception handling in python

Course Description: The objective of this course is to provide the student an insight of python

programming including the data structure of python.

Unit -I Introduction: History,Features,Setting up path,Working

with Python,Basic Syntax,Variable and Data Types,

Operator Conditional Statements If ,If- else,Nested if-

else,Looping,For,While,Nested loops 3

Unit - II Control Statements Break, Continue, Pass String

Manipulation Accessing Strings, Basic Operations, String

slices, Function and Methods Lists Introduction,

Accessing list, Operations, Working with lists, Function

and Methods 4

Unit - III Tuple Introduction, Accessing tuples, Operations,

Working, Functions and Methods Dictionaries

Introduction, Accessing values in dictionaries, Working

with dictionaries,Properties 5

Unit - IV Functions Defining a function,Calling a function,Types of

functions,Function Arguments,Anonymous

functions,Global and local variables Modules Importing

module, Math module, Random module,

Packages,Composition, Input -Output Printing on screen,

Reading data from keybo ard, Opening and closing file,

Reading and writing files, Functions 6

Unit -V Exception Handling Exception, Exception

Handling,Except clause, Try ? finally clause, User Defined

Exceptions 3

Reference

1. “Dive Into Python” by Mark Pilgrim

2. “Programming Python” by Mark Lutz and O’Reilly Media

3. “Python Testing Cookbook” by Greg L Turnquist

4. “Head First Programming” by Paul Barry and David Griffiths

Course Title: Python Programming Lab No of Lab required: 9(1 hour each)

Objective To write, test, and debug simple

Python programs.

## Page 36

To implement Python programs with

conditionals and loops

Use functions for structuring Python

programs

Represent compound data using

Python lists, tuples, dictionaries

Read and write data from/to files in

Python.

LIST OF PROGRAMS: 1. Compute the GCD of two numbers.

2. Find the square root of a number

(Newton’s method)

3. Exponentiation (power of a number)

4. Find the maximum of a list of numbers

5. Linear search and Binary search

6. Selection sort, Insertion sort

7. Merge sort

8. First n prime numbers

9. Multiply matrices

10. Programs that take command line

arguments (word count)

11. Find the most frequent words in a text

read from a file

12. Simulate elliptical orbits in Pygame

13. Simulate bouncing ball using Pygame

## Page 37

Semester –II

Course

Code:

TIMUDSS2SCE3 Course Title: Data Structure and Algorithm 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:

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. 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

## Page 38

Reference

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.

Course Title: Data Structure

and Algorithm Lab No of Lab required: 9(1 hour each)

Objective To write, test, and debug data structure programs

To implement linear data structures

To implement non-linear data structure

To implement searching sorting algorithms

LIST OF PROGRAMS: 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 Nonrecursive 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.

## Page 39

Semester -II

Course

Code:

TIMUDSS2SCE4 Course Title: Formal Language and

Automata Theory Credits:

2 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 pushdow n 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. 4

Unit – II Regular languages and finite automata: Regular

expressions and languages, deterministic finite automata

(DFA) and equivalence with regular expressions,

nondeterministic finite automata (NFA) and equivalence

with DFA, regular grammars and equivalence with finite

automata, properties of regular languages, pumping

lemma for regular languages, minimization of finite

automata) 6

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. 8

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, 6

## Page 40

unrestricted grammars and equivalence with Turing

machines, TMsas enumerators

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 6

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 o

Of Computation, Pearson Education Asia.

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 Computation,

TataMcGraw Hill., PEARSON.

6. Dr. R.B.Patel, Theory of Computation, Khanna Publishing House

## Page 41

Semester -II

Course

Code:

TIMUMSS1SCE5 Course Title: Business Ethics Credits:

2 Lectures

/Week: 2

Learning Objectives

Introduce students to the concept of ethical dilemmas

Encourage critical thinking

Develop an ethical compass

Course Description: This course is designed to introduce students to the possibility that

the world is not demarcated clearly into black and white. We all deal with grey situations

where our ethical compass shall lead us to take informed decisions. Also, an introduction to

the laws of the land and ethical digressions in society and particular streams.

Unit I

Concepts and

Values Ethics and Business Ethics

Concepts Values and Ethic

10

Unit – II

Corporate Ethics Ethical Corporate Behaviour

Development of corporate ethics

Ethical Leadership

Ethical Decision -making

10

Unit – III

Functional

Ethics Ethical Dilemmas in Organization

Social Responsibility of Business

Corporate Governance

10

Unit - IV

Corruption and

Gender Issues Ethic in Functional Area

Marketing, Finance, Human Resource and

Information Technology

Environmental Ethics

Corruption and Gender Issues —Gender Ethics,

Sexual Harassment and Discrimination.

10

Unit – V Role play of ethical issues – group discussions

Mock court cases of ethical dilemmas 5

## Page 42

Semester -II

Course

Code:

TIMUDSS2SPE1 Course Title: Sports Data: Retrieval and

Analysis an Introduction Credits:

3 Lectures

/Week: 3

Learning Objectives

To Understand basic data mining techniques for retrieval

To understand data types, quality and descriptive data summarization, integration

and reduction

To under understand the cluster analysis techniques

Course Description: The main objective of this course is to provider students a in depth

knowledge of retrieval, cleaning and analysis using various techniques of data mining and

analysis.

Unit I Introduction to Data modeling: Conceptual, Logical and

physical modeling, Top down and Bottom Up modeling,

ER Modeling with different methodologies, Generic data

modeling, Semantic data modeling, Data modeling with

different techniques (finite state machine, UML, state

charts, Markov Chain, Decision table and decision tree),

Data Dictionary 10

Unit – II Introduction: Data Mining Concept, Origin, Process,

Applications, Techniques, Challenges Data Pre-

processing: Data types, Quality, Descriptive data

summarization – central tendency and dispersion

measure, Data cleaning, Data integration & transform,

Data reduction 10

Unit – III Association Rule Mining: Market -basket analysis basics,

Naïve algorithm, Apriori algorithm, Direct Hashing and

Pruning (DHP), Software for Association Rule Mining

Classification and Prediction: Decision Tree, Classification

by decision tree induction, Bayesian classification, Rule -

based classification, Prediction – Linear and Nonlinear

Regression, Classification software 15

Unit -IV Cluster Analysis: Types of data in cluster analysis,

Partitioning methods, Hierarchical methods, Density -

based methods, Quality & Validity of clustering methods 10

References:

1. Tan, Steinbach and Kumar, Introduction to Data Mining, Pearson

2. Han and Camber, Data Mining: Concepts and Techniques, Morgan Kaufmann

. Foreman, Data Smart: Using Data Science to Transform Information into Insight, John Wiley

4. Dunham, Data Mining : Introductory and Advanced Topics, Pearson

## Page 43

Semester II

Course Code:

TIMUDSS2SPE2 Course Title: Sports Media and

Communications Credits: 3 Lectures

Week:

Learning Objectives

1. Learning basics of sports journalism

2. Understanding media and communication’s role in sports

Course Description

This course allows students to best understand the relationship of media and sports.

Module I Introduction to Sports Writing:

- Rules that universally apply to all kinds of

journalism

- How sports writing is slightly different and why?

- Evolution of sports journalism and

communication

o How sports became a specialised beat

o Radio and TV coverage of sports

o Social Media

o Challenges 15

Module II Covering sports, the tool kit

- How watching sport as a journalist or media

professional is different from watching it as a fan

- Areas that you must concentrate on

- Tool required to make a difference

- Sports photography

Sports Writing II

- Writing a match report

- Writing a preview, review of the entire event

- Post -match interviews

- Profile stories

- Other possible stories from the event 16

Module III Business of Sports

- Covering the financial aspect of events

- Structure of sports federations and internal

politics

- The sports equipment industry 15

Module IV Planning coverage of a sports event

- Media centre

- Coverage Plan

- Press Releases

- Sponsors Commitment 16

*Curated by TransStadia Institute - Centre of Excellence, Mumbai

## Page 44

FEE STRUCTURE

BSc (Data Science & Sports Studies)

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) Universit

yFees for

Students

without

Eligibilit

y

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 1,41,592 7,00,000 1,41,592 1,41,592 - 1,41,592

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 1,95,000 7,53,408 1,95,000 1,95,000 53,408

1,95,000

## Page 45

BSc (Data Science & Sports Studies)

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

1,41,592 7,00,000 1,41,592 1,41,592 -

1,41,592

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

1,95,000

7,53,408 1,95,000 1,95,000 53,408

1,95,000

## Page 46

BSc (Data Science & Sports Studies)

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 /

ApplicationForm 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 1,41,592 7,00,000 1,41,592 1,41,592 -

1,41,592

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 1,95,000 7,53,408 1,95,000 1,95,000 53,408

1,95,000

## Page 47