semseter-i basicpage/mba... · 2 fundamentals of algorithm & flowchart algorithms, flowchart,...

25
Note: Version 1.0.0.0 (First Digit= New syllabus/Revision in Full Syllabus, Second Digit=Revision in Teaching Scheme,Third Digit=Revision in Exam Scheme, Forth Digit= Content Revision) L=Lecture, TU=Tutorial, P= Practical/Lab., TW= Term work, DT= Direct Teaching, Lab.= Laboratory work CE= Continuous Evaluation, SEE= Semester End Examination SEMSETER-I GANPAT UNIVERSITY FACULTY OF MANAGEMENT STUDIES Programme MBA Branch/Spec. Business Analytics Semester I Version 2.0.0.0 Effective from Academic Year 2020-21 Effective for the batch Admitted in June 2020 Subject code IA01MPO Subject Name MANAGEMENT PRINCIPLES AND ORGANIZATIONAL BEHAVIOUR Teaching scheme Examination scheme (Marks) (Per week) Lecture(DT) Practical(Lab.) Total CE SEE Total L TU P TW Credit 4 0 0 4 Theory 60 40 100 Hours 4 0 0 4 Practical Objective: To familiarise the students with the fundamental concepts of Management and highlight approaches in organisation behaviour, which helps to enhance employability Course Outcome: CO 1: The students get in depth knowledge of management concepts and principles like planning, organizing, coordination, and decision making. CO 2: The Students learn about the individual and group behaviour in an orgnaisation. CO-3: the decision making ability of the students can escalate through various role play and case study base teaching pattern. Theory syllabus Unit Content Hrs 1 Concepts of Management & Manager, Managerial Functions, Skill, Task and Role of Manager, Levels of Management, Scientific Management Theory, Organisational Theory, Behavioural Theory, Integration Theory, Contemporary Issues in Management, Mc Kinsey’s 7-S approach 8 2 Planning : Nature, Purpose, Types and Process for Planning , concepts and types of Objectives, Concept of MBO, MBE, MBWA, Policies, Procedures and Strategies Decision Making: Approaches, Decision Making under Certainty, Uncertainty and Risk, Group Decision Making, Guidelines. Organising: Introduction, Importance of Organizing,concepts of division of work, concepts and types of Departmentalization, Concepts and Types Span of control, Decentralisation, Sources and Types of Power, Delegation of Authority Line and staff authority. Coordination: Definition - Characteristics - Objectives - Principles – Techniques. Staffing: Concept, Importance in the Organization, Introduction to HR Management 14 3 Motivation - Elements - Importance - Methods – Morale; Definition and Importance of Motivation, Early Theories in Motivation, Contemporary Theories in Motivation, Motivational Tools in Organization Leading and Leadership: Introduction, Theories, Characteristics of Leading, Importance of Leading, Functions of Leading, Role of Leadership in Contemporary Business, Theories of Leadership, Contingency Theories of Leadership. 14

Upload: others

Post on 18-Oct-2020

25 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: SEMSETER-I Basicpage/MBA... · 2 Fundamentals of Algorithm & Flowchart Algorithms, Flowchart, Pseudocode, Structured programming - top-down and bottom-up. 4 3 Introduction to C programming

Note: Version 1.0.0.0 (First Digit= New syllabus/Revision in Full Syllabus, Second Digit=Revision in

Teaching Scheme,Third Digit=Revision in Exam Scheme, Forth Digit= Content Revision)

L=Lecture, TU=Tutorial, P= Practical/Lab., TW= Term work, DT= Direct Teaching, Lab.= Laboratory

work

CE= Continuous Evaluation, SEE= Semester End Examination

SEMSETER-I

GANPAT UNIVERSITY

FACULTY OF MANAGEMENT STUDIES

Programme MBA Branch/Spec. Business Analytics

Semester I Version 2.0.0.0

Effective from Academic Year 2020-21 Effective for the batch Admitted in June 2020

Subject code IA01MPO Subject Name MANAGEMENT PRINCIPLES AND ORGANIZATIONAL

BEHAVIOUR

Teaching scheme Examination scheme (Marks)

(Per week) Lecture(DT) Practical(Lab.) Total CE SEE Total

L TU P TW

Credit 4 0 0 4 Theory 60 40 100

Hours 4 0 0 4 Practical

Objective:

To familiarise the students with the fundamental concepts of Management and highlight approaches in organisation

behaviour, which helps to enhance employability

Course Outcome:

CO 1: The students get in depth knowledge of management concepts and principles like planning, organizing,

coordination, and decision making.

CO 2: The Students learn about the individual and group behaviour in an orgnaisation.

CO-3: the decision making ability of the students can escalate through various role play and case study base teaching

pattern.

Theory syllabus

Unit Content Hrs

1 Concepts of Management & Manager, Managerial Functions, Skill, Task and Role of Manager, Levels of

Management, Scientific Management Theory, Organisational Theory, Behavioural Theory, Integration

Theory, Contemporary Issues in Management, Mc Kinsey’s 7-S approach

8

2 Planning : Nature, Purpose, Types and Process for Planning , concepts and types of Objectives, Concept

of MBO, MBE, MBWA, Policies, Procedures and Strategies

Decision Making: Approaches, Decision Making under Certainty, Uncertainty and Risk, Group

Decision Making, Guidelines.

Organising: Introduction, Importance of Organizing,concepts of division of work, concepts and types of

Departmentalization, Concepts and Types Span of control, Decentralisation, Sources and Types of

Power, Delegation of Authority Line and staff authority.

Coordination: Definition - Characteristics - Objectives - Principles – Techniques.

Staffing: Concept, Importance in the Organization, Introduction to HR Management

14

3 Motivation - Elements - Importance - Methods – Morale; Definition and Importance of Motivation, Early

Theories in Motivation, Contemporary Theories in Motivation, Motivational Tools in Organization

Leading and Leadership: Introduction, Theories, Characteristics of Leading, Importance of Leading,

Functions of Leading, Role of Leadership in Contemporary Business, Theories of Leadership, Contingency

Theories of Leadership.

14

Page 2: SEMSETER-I Basicpage/MBA... · 2 Fundamentals of Algorithm & Flowchart Algorithms, Flowchart, Pseudocode, Structured programming - top-down and bottom-up. 4 3 Introduction to C programming

Note: Version 1.0.0.0 (First Digit= New syllabus/Revision in Full Syllabus, Second Digit=Revision in

Teaching Scheme,Third Digit=Revision in Exam Scheme, Forth Digit= Content Revision)

L=Lecture, TU=Tutorial, P= Practical/Lab., TW= Term work, DT= Direct Teaching, Lab.= Laboratory

work

CE= Continuous Evaluation, SEE= Semester End Examination

Direction: Supervision, Span of Supervision, Factors: Graicuna’s theory of span of management.

Controlling:Introduction, Importance and Process, Critical Control Points Control as a feedback system,

Prerequisites of Effective Control, Control Techniques, IT Enabled ‘Controls’ and its Challenges;

Maintenance Vs Crisis Management, Overall Control Process.

4 Individual Behaviour:

Personality: Personality- Definition and Determinants, Personality Traits, Personality Attributes

affecting OB, Perception: Definition, Importance and Factors Influencing Perception, Perception and

Making Judgment about Others; Values, Attitudes and Emotions: Introduction, Values, Attitudes,

Definition and Concept of Emotions, Emotional Intelligence, Indian Perspective on Emotional

Intelligence, Learning and its Applications in Organizations.

10

5 Group Behaviour:

Group: Foundations – Group Process, Group Tasks, Types, Stages of Group Formation and Group

Process, Work Group Behaviour, Factors that Affect Group Behaviour, Implications of Group Process for

Organizations, Group Development

Team: Introduction, Definition and Overview of a Team, Seventeen Characteristics of an Effective Team,

Designing a Team –Team Wheel, Key Issues in Team Building, The Seven Step of Intact Team Building,

Cross Functional Teams

Politics: Introduction, Causes and Consequences

Conflict Management – Concept, Process, Case incidents

Negotiation: Strategies and Process

Organizational Culture: Concept, Creating and Sustaining Culture

Stress Management: Concept, Sources and Consequences

Change Management : Fundamentals of Change and Approaches

14

Practical content

Reference Books

1

2

3

4

5

6

7

8

9

10

11

12

Aswathappa K., ‘Organisational Behaviour’, Himalaya Publishing House, New Delhi, 2005.

Fred Luthans-‘Organisational Behavior’, McGraw Hill Publishing Company, New York, 2005.

Gene Burton & Manab Thakur, ‘Management Today-Principles & Practice’, Tata McGraw Hill Public Company

Ltd., New Delhi, 2005.

Heinz Weihrich and Harold Koontz, Management – A Global Perspective, Tata McGraw- Hill Publishing Company

Limited, 2000.

James A.F. Stoner, R. Edward Freedom And Daniel R. Gilbert - ‘Management’, Prentice Hill Inc., New Jersey,

2002.

Ramasamy.T. - Principles Of Management, HimalayaPublishing House, New Delhi, 2000.

Reddy, Tripathi & Appannaih - Essentials Of Management, Himalaya Publishing, 2000.

Robins, S.P., ‘Management’, Englewood Cliffs, Prentice Hall Inc., New Jersey, 2004.

Sharma.R.A - Organisational Theory & Behaviour, Tata McGraw-Hill, New Delhi, 2004.

Srinivasan & Chunawalla - Management Principles and Practice, Himalaya Publishing House, 2004.

Uma Sekaran - Organisational Behaviour Text & Cases, Tata McGraw Hill Public Company Ltd., New Delhi, 2005.

V.S.P.Rao ,V.Hari Krishna “Management- Text and Cases”, Excel Books, New Delhi 2009.

Page 3: SEMSETER-I Basicpage/MBA... · 2 Fundamentals of Algorithm & Flowchart Algorithms, Flowchart, Pseudocode, Structured programming - top-down and bottom-up. 4 3 Introduction to C programming

Note: Version 1.0.0.0 (First Digit= New syllabus/Revision in Full Syllabus, Second Digit=Revision in

Teaching Scheme,Third Digit=Revision in Exam Scheme, Forth Digit= Content Revision)

L=Lecture, TU=Tutorial, P= Practical/Lab., TW= Term work, DT= Direct Teaching, Lab.= Laboratory

work

CE= Continuous Evaluation, SEE= Semester End Examination

GANPAT UNIVERSITY

FACULTY OF MANAGEMENT STUDIES

Programme MBA Branch/Spec. Business Analytics

Semester I Version 1.0.0.0

Effective from Academic Year 2020-2021 Effective for the batch Admitted in June 2020

Subject code IV02QST Subject Name Quantitative Statistics for Managers

Teaching scheme Examination scheme (Marks)

(Per week) Lecture(DT) Practical(Lab.) Total CE SEE Total

L TU P TW

Credit 3 3 Theory 60 40 100

Hours 3 45 Practical

Pre-requisites:

Objective: The objective of this course is to teach various concepts of Basic Statistics and Quantitative methods of

Analytics.

Course Outcome:

On the completion of the course, the student will learn

Co-1: the basics of Statistics required for Business management

CO-2: the statistical tools implied to analyse the data

CO-3: various methods of forecasting based decision making techniques

CO-4: the basic sample testing theories

Theory syllabus

Unit Content Hrs

1 Basic Statistical Methods: Measures of Central tendency: Mean, Median, Mode and Dispersion: Range, Inter Quartiles, Standard Deviation, Coefficient of Variation. Theory of Probability – Definition and Rules of Probability, Baye’s Theorem; Probability Distribution – Discrete distribution – (Binomial and Poisson), Continuous distribution – (Normal & Exponential). Decision Tree Analysis

12

2 Statistical Tools & Techniques: Co-Relation & Regression; Single Linear Regression; Multiple

Regression: Use of Software in Multiple Regression, Building Multiple Regression Models, Different

types of models, Multicollinearity

10

3 Forecasting Methods: Subjective Delphic, Nominal grouping and Jury of Opinion; Quantitative – Input-

Output Model, Time Series Method, Moving Average, Exponential Smoothing, Linear Trend Line,

Method of Least Square, Measuring error – MAD, MAPD, CE, MSE, MSPE.

11

4 Estimation Theory and Hypothesis Testing: Sampling theory; Formulation of Hypotheses; Application of Z-test, t-test, F-test and Chi-Square-test in testing of the hypothesis. Techniques of association of Attributes & Testing.

12

Practical content

Text Books

1

Page 4: SEMSETER-I Basicpage/MBA... · 2 Fundamentals of Algorithm & Flowchart Algorithms, Flowchart, Pseudocode, Structured programming - top-down and bottom-up. 4 3 Introduction to C programming

Note: Version 1.0.0.0 (First Digit= New syllabus/Revision in Full Syllabus, Second Digit=Revision in

Teaching Scheme,Third Digit=Revision in Exam Scheme, Forth Digit= Content Revision)

L=Lecture, TU=Tutorial, P= Practical/Lab., TW= Term work, DT= Direct Teaching, Lab.= Laboratory

work

CE= Continuous Evaluation, SEE= Semester End Examination

Reference Books

1.

2.

3.

4.

5.

6.

7.

Quantitative Techniques in Management by Vohra, Tata McGraw-Hill, Latest edition.

Statistics for Management by Richard I. Levin and David S. Rubin (Pearson Education).

Statistics for Management, T N Srivastava and Shailaja Rego, TMH.

Business Analytics by James Evans, Pearson Education.

Turban, Sharda,Decision Support and Business Intelligence Systems, Delen, Pearson, 9th edition, 2014

Cathy O’Neil and Rachel Schutt. Doing Data Science, Straight Talk From The Frontline. O’Reilly. 2014.

Business Analytics: The Science of Data Driven Decision Making By U Dinesh Kumar, Wiley Publication

GANPAT UNIVERSITY

FACULTY OF MANAGEMENT STUDIES

Programme MBA Branch/Spec. Business Analytics

Semester I Version 2.0.0.0

Effective from Academic Year 2020-21 Effective for the batch Admitted in June 2020

Subject code IA03FCP Subject Name Fundamentals of Computer Programming and Networking

Teaching scheme Examination scheme (Marks)

(Per week) Lecture(DT) Practical(Lab.) Total CE SEE Total

L TU P TW

Credit 2 0 1 0 3 Theory 30 20 50

Hours 1 0 1 0 1 Practical 30 20 50

Objective:

To provide wide opportunities of Logic Development using Algorithm, Flowchart and Computer Program.

Page 5: SEMSETER-I Basicpage/MBA... · 2 Fundamentals of Algorithm & Flowchart Algorithms, Flowchart, Pseudocode, Structured programming - top-down and bottom-up. 4 3 Introduction to C programming

Note: Version 1.0.0.0 (First Digit= New syllabus/Revision in Full Syllabus, Second Digit=Revision in

Teaching Scheme,Third Digit=Revision in Exam Scheme, Forth Digit= Content Revision)

L=Lecture, TU=Tutorial, P= Practical/Lab., TW= Term work, DT= Direct Teaching, Lab.= Laboratory

work

CE= Continuous Evaluation, SEE= Semester End Examination

To make aware the students about basics of computer, languages, peripheral devices and network.

Course Outcome:

CO-1: After completing this course, students should be able to:

✓ Students gain an overall understanding of Logic Development ✓ Students able to design the solution of problem ✓ Understand logic development tools for Algorithm, Flowchart and Program ✓ To gain and implement of Algorithm, Flowchart and Program ✓ To acquire logic skills for computer based problems & solutions

Co-2: Student can get awareness about basic of computer, devices and network fundamentals. Theory syllabus

Unit Content Hrs

1 Introduction to Design of problem Concept of problem solving, Problem definition, Program design, Debugging, Types of errors in programming, Documentation and Comments

3

2 Fundamentals of Algorithm & Flowchart Algorithms, Flowchart, Pseudocode, Structured programming - top-down and bottom-up.

4

3 Introduction to C programming Structure of a C Program, Why C language, Writing, Compiling and Executing program, Data types, Variables, Identifiers and keywords, Literals, Strings.

4

4 Understand the basic statements Types of Operators, Input and Output Statements, Selection Statement, Control Statement, Jumping Statement.

4

5 Introduction to Computer: Information Technology, Hardware and processor: History of Computer, Definition of computer, Block Diagram of computer, Characteristics of computer. Data and Information, Features of Information, System Hardware, Processor Architecture, Computer Arithmetic, Instruction Set Architecture

3

6 Types of Languages: Low level v/s High level languages, Introduction of Machine Language, Assembly Language. Language Processor: Compilers, Interpreter, Assemblers, Difference between Compiler-Assembler-Interpreter, Types of Software: System Software, Application Software

2

7 Peripheral Device: FDD, Hard disk drive, Tape Drives, CD-DVD Drives, USB, Cache memory, Pen Drive Port Introduction: USB, Serial, Parallel and PS2 08,

Input Devices: Key Board, Mouse, Touch screen, Scanner, OMR, MICR, OCR Output Devices: VDU, Printer, Communication Devices: MODEM, NIC

4

8 Introduction to Computer Network Need of Computer Network, Advantages of Computer Network, Uses of Computer Network, Network Models, Categories of Networks and Internetworks, Network Topologies (Bus, Star, Ring, Star Bus, Star Ring and Physical Mesh)

4

9 Network Concepts and Components Network Concepts: Wireless Networks, Layered Approach, Interfaces, Services, Protocols Intranet and Extranet, Network Components: Cabling and Connector Standards Network Interface Card, Concentrators, Hubs, Repeaters, Gateways, Bridges/Switches, Routers

3

Practical content

Text Book:

Page 6: SEMSETER-I Basicpage/MBA... · 2 Fundamentals of Algorithm & Flowchart Algorithms, Flowchart, Pseudocode, Structured programming - top-down and bottom-up. 4 3 Introduction to C programming

Note: Version 1.0.0.0 (First Digit= New syllabus/Revision in Full Syllabus, Second Digit=Revision in

Teaching Scheme,Third Digit=Revision in Exam Scheme, Forth Digit= Content Revision)

L=Lecture, TU=Tutorial, P= Practical/Lab., TW= Term work, DT= Direct Teaching, Lab.= Laboratory

work

CE= Continuous Evaluation, SEE= Semester End Examination

Brain Friendly Guide Head First C by David Griffiths & Dawn Griffiths, Oreilly Publication, First Edition.

Reference Books:

1. Brain Friendly Guide Head First Software Development by Dan Pilone & Russ Miles, Oreilly 2. Publication, First Edition. 3. Information Technology and Concepts, 2nd Edition By. Dr. Madhulika Jain, BPB publication 4. Fundamental Of computer Organization By Albert Zomaya 5. B.A. Forouzan:DataCommunicationandNetworking,TataMcGrawHill.

MOOC/ Certification Course

1 https://raptor.martincarlisle.com/

2 https://programming-steps.blogspot.com/2013/10/raptor-flowchart

3 https://www.w3schools.in/c-tutorial/

4 https://www.tutorialspoint.com/cprogramming/index.htm

5 https://www.tutorialspoint.com/computer_fundamentals/index.htm

6 https://www.javatpoint.com/computer-fundamentals-tutorial

7 http://codesandtutorials.com/networking/networkprotocols/index.php

GANPAT UNIVERSITY

FACULTY OF MANAGEMENT STUDIES

Programme MBA Branch/Spec. Business Analytics

Semester I Version 2.0.0.0

Effective from Academic Year 2020-21 Effective for the batch Admitted in June 2020

Subject code IA04FMS Subject Name FINANCIAL MANAGEMENT AND STATEMENT ANALYSIS

Teaching scheme Examination scheme (Marks)

Page 7: SEMSETER-I Basicpage/MBA... · 2 Fundamentals of Algorithm & Flowchart Algorithms, Flowchart, Pseudocode, Structured programming - top-down and bottom-up. 4 3 Introduction to C programming

Note: Version 1.0.0.0 (First Digit= New syllabus/Revision in Full Syllabus, Second Digit=Revision in

Teaching Scheme,Third Digit=Revision in Exam Scheme, Forth Digit= Content Revision)

L=Lecture, TU=Tutorial, P= Practical/Lab., TW= Term work, DT= Direct Teaching, Lab.= Laboratory

work

CE= Continuous Evaluation, SEE= Semester End Examination

(Per week) Lecture(DT) Practical(Lab.) Total CE SEE Total

L TU P TW

Credit 4 4 Theory 60 40 100

Hours 4 4 Practical

Pre-requisites:

Objective: The course aims to focus on the understanding of techniques and concepts and in showing their

application to financial decision marketing situations.

Course Outcome:

Co-1: To learn the management of working capital in any of the industry

CO-2: to learn about making the financial decision related to business and investment

CO-3: To understand the financial statement in depth and learn to analyse it for decision making

CO-4: The students shall be able to learn to analyse and interpret various financial statements.

Theory syllabus

Unit Content Hrs

1 Introduction: Concept of finance, scope and objectives of finance; Profit maximization vs. Wealth

maximization; Functions of Finance Manager in Modern Age; Financial decision areas, Time value of

money, risk and return analysis, valuation of securities.

Introduction to Indian financial system- Meaning and classification of Fanatical Markets,

Instruments, Institutions and Services

10

2 Working Capital:Concept of Gross Working Capital & Net Working Capital, Various Approaches to

Working Capital Management, Factors affecting working capital requirement. Working Capital

Management: Management of cash, inventory and receivables. Working Capital Financing: Sources

of short term financing, Role of commercial bank in working capital management; Commercial

paper; Factoring and other tools of working capital management.

10

3 Investment decision: Appraisal of project; Techniques of capital budgeting and its applications; Risk

and Uncertainty in Capital Budgeting, Leverage analysis-financing, operating and combined leverage

and its implications; EBIT-EPS analysis.

10

4 Financing Decision: Long-term sources of finance, potentiality of equity shares, preference shares,

debentures and bonds as source of long-term finance; Concept and approaches of capital structure

decision; NI, NOI, Traditional and Modigliani Miller Approach; Cost of equity share, preference share

and debentures.

10

5 Dividend Decision:Concept of retained earning and plough back of profits, relevancy and irrelevancy

theory of dividend decision; Walter's model; Gordon's Model and Modigliani Miller model; Factor

affecting dividend decision .

8

6 Understanding and Analysis of Financial Statement: Corporate financial statements: Corporate

Balance sheet, corporate profit and loss account, understanding and constructing corporate cash

flow and Fund Flow statement, Understanding the financial reports- Auditors report and Directors

report, corporate governance report.

Financial Statement Analysis using the tool kit of Multi step Income statement, horizontal analysis,

common size analysis, Trend analysis, Earning per share analysis, Ratio analysis.

12

Page 8: SEMSETER-I Basicpage/MBA... · 2 Fundamentals of Algorithm & Flowchart Algorithms, Flowchart, Pseudocode, Structured programming - top-down and bottom-up. 4 3 Introduction to C programming

Note: Version 1.0.0.0 (First Digit= New syllabus/Revision in Full Syllabus, Second Digit=Revision in

Teaching Scheme,Third Digit=Revision in Exam Scheme, Forth Digit= Content Revision)

L=Lecture, TU=Tutorial, P= Practical/Lab., TW= Term work, DT= Direct Teaching, Lab.= Laboratory

work

CE= Continuous Evaluation, SEE= Semester End Examination

Practical content

Text Books

1

Reference Books

1

2

3

4

5

6

7

8

9

Pandey I M- Financial Management (Vikas, Latest Edition).

Van Horne- Financial Management and Policy (Pearson Education, 12 edition) 2003.

Knott G-Financial Management (Palgrave, 2004)

Khan and Jain- Financial Management, Text, Problems & Cases (Tata McGraw-Hill, Latest Edition)

Prasanna Chandra- Financial Management: Theory and Practice (TMH), Latest Edition.

Kirt C Butler- Multi National Finance (Vikas).

R P Rustagi- Financial Management (Galgotia) 2000, 2nd ed.

Lawrence J. Gitman- Principles of Managerial Finance 2004, Pearson Education N. Delhi.

Maheshwari, S.N.- Financial Management – Principles & Practice (Sultan Chand & Sons), Latest Edition.

Page 9: SEMSETER-I Basicpage/MBA... · 2 Fundamentals of Algorithm & Flowchart Algorithms, Flowchart, Pseudocode, Structured programming - top-down and bottom-up. 4 3 Introduction to C programming

Note: Version 1.0.0.0 (First Digit= New syllabus/Revision in Full Syllabus, Second Digit=Revision in

Teaching Scheme,Third Digit=Revision in Exam Scheme, Forth Digit= Content Revision)

L=Lecture, TU=Tutorial, P= Practical/Lab., TW= Term work, DT= Direct Teaching, Lab.= Laboratory

work

CE= Continuous Evaluation, SEE= Semester End Examination

GANPAT UNIVERSITY

FACULTY OF MANAGEMENT STUDIES

Programme MBA Branch/Spec. Business Analytics

Semester I Version 1.0.0.1

Effective from Academic Year 2020-21 Effective for the batch Admitted in June 2020

Subject code IA05MAM Subject Name MARKETING MANAGEMENT AND ANALYTICS

Teaching scheme Examination scheme (Marks)

(Per week) Lecture(DT) Practical(Lab.) Total CE SEE Total

L TU P TW

Credit 4 0 0 0 4 Theory 60 40 100

Hours 4 0 0 0 4 Practical

Pre-requisites:

Objectives: This course develops the student’s basic analytical skills, conceptual abilities, and substantive

knowledge in marketing through exercise in decision making in a variety of real-life marketing situations. It is

intended to be foundation for those who plan to do further work in marketing in the second year. It is also designed

to serve as a terminal course for those not intending to specialize in marketing.

CourseOutcome:

CO-1: Students will understand scope of marketing and various concepts of marketing management.

Co-2. It helps students to learn and understand Various bases of segmentation, identifying target market and

positioning through various case studies and role plays.

Co-3. It will help students to learn and understand how companies draft their marketing mix, branding and pricing

strategies. Students will be able to analyse product life cycle various organizations through case study method.

Co-4. Students will be able to understand various concepts of promotion mix such as advertising, personal selling,

direct marketing. They will also be able to analyse the strategies by corporate for competitive advantage.

CO-5: The students will be able to learn various innovative concepts to develop marketing strategies for

challengers, followers and niches. Students will be able to Design and manage global marketing strategies.

CO-6: The students will be able to learn various emerging trends such as rural marketing, customer relationship

management and services marketing. Role play method can be used to make students understand the concept in

an easy way.

Theory syllabus

Unit Content Hrs

1 Nature and Scope of Marketing, Marketing Management-Concepts & Philosophy, Environmental Scanning, Marketing Research and Forecasting, Buying Behavior-Consumer & Industrial, Difference Between Consumer Markets and Industrial Markets, Nature of Demand in Industrial Markets.

12

2 Market Segmentation, Targeting and Positioning, Segmenting: Bases and Process, Target Market

Selection, Positioning-Nature and Importance

10

3 Product Decisions: New Product Development, Product Mix, Branding and Packaging Decisions,

Product Life Cycle & Strategies, Product Differentiation Strategies.

Pricing Decisions-Objectives and Determination, Methods of Setting Price and pricing strategies

14

Page 10: SEMSETER-I Basicpage/MBA... · 2 Fundamentals of Algorithm & Flowchart Algorithms, Flowchart, Pseudocode, Structured programming - top-down and bottom-up. 4 3 Introduction to C programming

Note: Version 1.0.0.0 (First Digit= New syllabus/Revision in Full Syllabus, Second Digit=Revision in

Teaching Scheme,Third Digit=Revision in Exam Scheme, Forth Digit= Content Revision)

L=Lecture, TU=Tutorial, P= Practical/Lab., TW= Term work, DT= Direct Teaching, Lab.= Laboratory

work

CE= Continuous Evaluation, SEE= Semester End Examination

4 Promotion: Integrated Marketing Communication; Mass Communication-Advertising, Sales

Promotion, Events & Public Relations; Personal Communication, Personal Selling and Direct

Marketing, Digital Communication-Online, Social Media and Mobile.

Place: Channels of Distribution-Levels and Types of Channels, Functions and Management of

Channel members, Channel Selection and Motivation, Management of Physical Distribution;

Wholesaling and Retailing.

14

5 Developing Marketing Strategy for Market leader, Challenger, Follower and Nicher; Global

Marketing Strategies; Rural Marketing; Customer Relationship Management; Consumerism; Legal

Issues in Marketing.

10

Practical content

Reference Books

1

2

3

4

5

6

7

8

9

10

11

Kotler, Philip, "Marketing Management: Analysis, Planning, Implementations and Control", Pearson

Education, New Delhi, Latest Edition.

Saxena Rajan, "Marketing Management", Tata McGraw Hill, New Delhi , Latest Edition.

Stanton William J., "Fundamentals of Marketing", McGraw Hill, Latest Edition.

Kotler, Philip and Armstrong, Graw. "Principles of Marketing", Pearson Education, New Delhi 2004.

Neelamegham, S., "Indian Cases in Marketing", Vikas Pub. New Delhi.

Bull, Victor P., "Marketing Management: A Strategic Planning Approach", McGraw Hill, New York.

Czinkota, M.R., "Marketing Management", Pearson Education Asia, New Delhi 2004.

Michael, J. E., Bruce, J. W. and Williom, J. S.,“Marketing Management”, Tata McGrawHill, New Delhi, 13th Edition, 2004.

Louis E. Boone and David L. Kurtz,“Contemporary Marketing”. Harcourt Collye Publishers, 2001.

Douglas, J. Darymple & Leonard J. Parsons,“Marketing Management: Text and Cases”, Seventh Edition, John Wiley and

Sons, 2002.

Pride, William, M., and O.C. Ferrell,“Marketing: Concepts and Strategies”, Biztantra, New Delhi, 2005.

Page 11: SEMSETER-I Basicpage/MBA... · 2 Fundamentals of Algorithm & Flowchart Algorithms, Flowchart, Pseudocode, Structured programming - top-down and bottom-up. 4 3 Introduction to C programming

Note: Version 1.0.0.0 (First Digit= New syllabus/Revision in Full Syllabus, Second Digit=Revision in

Teaching Scheme,Third Digit=Revision in Exam Scheme, Forth Digit= Content Revision)

L=Lecture, TU=Tutorial, P= Practical/Lab., TW= Term work, DT= Direct Teaching, Lab.= Laboratory

work

CE= Continuous Evaluation, SEE= Semester End Examination

GANPAT UNIVERSITY

FACULTY OF MANAGEMENT STUDIES

Programme MBA Branch/Spec. Business Analytics

Semester I Version 1.0.0.0

Effective from Academic Year 2020-21 Effective for the batch Admitted in June 2020

Subject code IA06PFA-I Subject Name Programming for Analytics-1 (SAS Subject)

Teaching scheme Examination scheme (Marks)

(Per week) Lecture(DT) Practical(Lab.) Total CE SEE Total

L TU P TW

Credit 4 0 0 0 4 Theory 60 40 100

Hours 4 0 0 0 4 Practical

Pre-requisites:

Objective:

Course Outcome:

Theory syllabus

Unit Content Hrs

1 Essentials • the SAS programming process • using SAS programming tools • understanding SAS syntax

2 Accessing Data • understanding SAS data • accessing data through libraries • importing data into SAS

3 Exploring and Validating Data • exploring data • filtering rows • formatting columns • sorting data and removing duplicates

4 Preparing Data • reading and filtering data • computing new columns • conditional processing

5 Analyzing and Reporting on Data • enhancing reports with titles, footnotes, and labels • creating frequency reports • creating summary statistics reports

6 Exporting Results • exporting data • exporting reports

Page 12: SEMSETER-I Basicpage/MBA... · 2 Fundamentals of Algorithm & Flowchart Algorithms, Flowchart, Pseudocode, Structured programming - top-down and bottom-up. 4 3 Introduction to C programming

Note: Version 1.0.0.0 (First Digit= New syllabus/Revision in Full Syllabus, Second Digit=Revision in

Teaching Scheme,Third Digit=Revision in Exam Scheme, Forth Digit= Content Revision)

L=Lecture, TU=Tutorial, P= Practical/Lab., TW= Term work, DT= Direct Teaching, Lab.= Laboratory

work

CE= Continuous Evaluation, SEE= Semester End Examination

Using SQL in SAS • using Structured Query Language in SAS • joining tables using SQL in SAS

Controlling DATA Step Processing • setting up for this course • understanding DATA step processing • directing DATA step output

Summarizing Data

• creating an accumulating column • processing data in groups

Manipulating Data with Functions • understanding SAS functions and CALL routines • using numeric and date functions • using character functions • using special functions to convert column type

Creating Custom Formats • creating and using custom formats • creating custom

Combining Tables • concatenating tables • merging tables • identifying matching and nonmatching rows

Processing Repetitive Code • using iterative DO loops • using conditional DO loops

Restructuring Tables

• restructuring data with the DATA step • restructuring data with the

Macro Programs

• macro functions • defining and calling a macro • macro parameters • conditional processing

Practical content

Reference Books

Material will be provided by SAS

Page 13: SEMSETER-I Basicpage/MBA... · 2 Fundamentals of Algorithm & Flowchart Algorithms, Flowchart, Pseudocode, Structured programming - top-down and bottom-up. 4 3 Introduction to C programming

Note: Version 1.0.0.0 (First Digit= New syllabus/Revision in Full Syllabus, Second Digit=Revision in

Teaching Scheme,Third Digit=Revision in Exam Scheme, Forth Digit= Content Revision)

L=Lecture, TU=Tutorial, P= Practical/Lab., TW= Term work, DT= Direct Teaching, Lab.= Laboratory

work

CE= Continuous Evaluation, SEE= Semester End Examination

GANPAT UNIVERSITY

FACULTY OF MANAGEMENT STUDIES

Programme MBA Branch/Spec. Business Analytics

Semester I Version 1.0.0.0

Effective from Academic Year 2020-21 Effective for the batch Admitted in June 2020

Subject code IA07BMS Subject Name BUSINESS MODELING WITH SPREAD SHEET

Teaching scheme Examination scheme (Marks)

(Per week) Lecture(DT) Practical(Lab.) Total CE SEE Total

L TU P TW

Credit 4 4 Theory 60 40 100

Hours 4 4 Practical

Pre-requisites:

Objective: This course attempts to help students learn operations management systems and analysis issues

pertaining to management of productivity, manufacturing technology, and facilities, operations planning and

control and management of materials and quality.

Course Outcome:

CO-1. To learn the business modelling tools

CO-2. to learn to analyse the data with spreadsheet and the relevant statistical tools by application of Modelling

CO-3. To learn the application of Business modelling and spread sheet in basic management functions like

marketing, Finance and HR.

Theory syllabus

Unit Content Hrs

1 Modeling – meaning and process, Certainty and uncertainty in models, importance of

understanding data before Modeling, Modeling with spreadsheet in simple decision situations.

14

2 Introduction to Spreadsheet Modeling:-

Formulas/Formatting/Printing/Functions Cell references, Look up tables, Linking disparate work

books, Dynamic linking, updating links, data validation, Goal seek, Pivot table, Sorting, Charting,

filtering and protecting spreadsheets.

14

3 Spread Sheet Modeling in Statistics:

Measures of central tendency, t test, ANOVA, Correlation, Regression and Time series analysis.

10

4 Spread Sheet Modeling in Finance

Forecasting financial statements–

Capital budgeting decisions, Bond valuation, Stock valuation, Break even analysis, Budgeting, Ratio

analysis, Sensitivity analysis, Simulation analysis, Portfolio construction and Working capital.

14

5 Spread Sheet Modeling in Production and HR

ABC Analysis, Economic order quantity, Production budget–Employee and pay roll decision making.

8

Page 14: SEMSETER-I Basicpage/MBA... · 2 Fundamentals of Algorithm & Flowchart Algorithms, Flowchart, Pseudocode, Structured programming - top-down and bottom-up. 4 3 Introduction to C programming

Note: Version 1.0.0.0 (First Digit= New syllabus/Revision in Full Syllabus, Second Digit=Revision in

Teaching Scheme,Third Digit=Revision in Exam Scheme, Forth Digit= Content Revision)

L=Lecture, TU=Tutorial, P= Practical/Lab., TW= Term work, DT= Direct Teaching, Lab.= Laboratory

work

CE= Continuous Evaluation, SEE= Semester End Examination

Practical content

Reference Books

1

2

3

4

Walkenbach, John. Excel Bible. NewDelhi: Wiley India Pvt Ltd. 2nd edition,2010

MacDonald, Mathew- Excel: The Missing Manual. Sebastopol:O'reilly.2nd edition, 2010

Monahan, George E. Management Decision Making: SpreadSheet, Modelling, Analysis.,

London:CambridgeUniversity.8th edition,2000

Page 15: SEMSETER-I Basicpage/MBA... · 2 Fundamentals of Algorithm & Flowchart Algorithms, Flowchart, Pseudocode, Structured programming - top-down and bottom-up. 4 3 Introduction to C programming

Note: Version 1.0.0.0 (First Digit= New syllabus/Revision in Full Syllabus, Second Digit=Revision in

Teaching Scheme,Third Digit=Revision in Exam Scheme, Forth Digit= Content Revision)

L=Lecture, TU=Tutorial, P= Practical/Lab., TW= Term work, DT= Direct Teaching, Lab.= Laboratory

work

CE= Continuous Evaluation, SEE= Semester End Examination

SEMSETER- II

GANPAT UNIVERSITY

FACULTY OF MANAGEMENT STUDIES

Programme MBA Branch/Spec. Business Analytics

Semester Version 1.0.0.0

Effective from Academic Year 2020-21 Effective for the batch Admitted in June 2020

Subject code IIA01PFA-II Subject Name PROGRAMMING FOR ANALYTICS (SAS Subject)

Teaching scheme Examination scheme (Marks)

(Per week) Lecture(DT) Practical(Lab.) Total CE SEE Total

L TU P TW

Credit 3 Theory 60 40 100

Hours 3 Practical

Pre-requisites:

Objective:

Course Outcome:

Theory syllabus

Unit Content Hrs

Introduction • Why SAS macro?

• Setting up for this course.

SAS Macro Facility • Program flow.

• Creating and using macro variables.

Storing and Processing Text • Macro functions.

• Using SQL to create macro variables.

• Using the DATA step to create macro variables.

• Indirect references to macro variables.

Working with Macro Programs • Defining and calling a macro.

• Macro variable scope.

• Conditional processing.

• Iterative processing.

Developing Macro Applications • Storing macros.

• Generating data-dependent code.

• Validating parameters and documenting macros.

Essentials • Setting up for this course.

• Overview of SAS Foundation.

• Course logistics.

• Course data files.

• Introducing the Structured Query Language.

• Overview of the SQL procedure.

• Exploring tables.

• Specifying columns.

PROC SQL Fundamentals • Subsetting data.

Page 16: SEMSETER-I Basicpage/MBA... · 2 Fundamentals of Algorithm & Flowchart Algorithms, Flowchart, Pseudocode, Structured programming - top-down and bottom-up. 4 3 Introduction to C programming

Note: Version 1.0.0.0 (First Digit= New syllabus/Revision in Full Syllabus, Second Digit=Revision in

Teaching Scheme,Third Digit=Revision in Exam Scheme, Forth Digit= Content Revision)

L=Lecture, TU=Tutorial, P= Practical/Lab., TW= Term work, DT= Direct Teaching, Lab.= Laboratory

work

CE= Continuous Evaluation, SEE= Semester End Examination

• Presenting data.

• Summarizing data.

• Creating and managing tables.

• Using DICTIONARY tables.

SQL Joins • Introduction to SQL joins.

• Inner joins.

• Outer joins.

• Complex SQL joins.

Subqueries • Noncorrelated subqueries.

• Correlated subqueries.

• In-line views.

• Creating views with the SQL procedure.

• Subqueries in the SELECT clause.

• Remerging summary statistics.

Set Operators • Introduction to set operators.

• The INTERSECT operator.

• The EXCEPT operator.

• The UNION operator.

• The OUTER UNION operator.

Using and Creating Macro Variables in SQL • Interfacing PROC SQL with the macro language.

• Creating data-driven macro variables with a query.

• Using macro variables in SQL.

Accessing DBMS Data with SAS/ACCESS • Overview of SAS/ACCESS technology.

• SQL pass-through facility

Practical content

Text Books

1

Reference Books

SAS Material

GANPAT UNIVERSITY

FACULTY OF MANAGEMENT STUDIES

Programme MBA Branch/Spec. Business Analytics

Semester Version 2.0.0.0

Effective from Academic Year 2020-21 Effective for the batch Admitted in June 2020

Page 17: SEMSETER-I Basicpage/MBA... · 2 Fundamentals of Algorithm & Flowchart Algorithms, Flowchart, Pseudocode, Structured programming - top-down and bottom-up. 4 3 Introduction to C programming

Note: Version 1.0.0.0 (First Digit= New syllabus/Revision in Full Syllabus, Second Digit=Revision in

Teaching Scheme,Third Digit=Revision in Exam Scheme, Forth Digit= Content Revision)

L=Lecture, TU=Tutorial, P= Practical/Lab., TW= Term work, DT= Direct Teaching, Lab.= Laboratory

work

CE= Continuous Evaluation, SEE= Semester End Examination

Subject code IIA02RMM Subject Name RESEARCH METHODOLOGY IN MANAGEMENT

Teaching scheme Examination scheme (Marks)

(Per week) Lecture(DT) Practical(Lab.) Total CE SEE Total

L TU P TW

Credit 4 4 Theory 60 40 100

Hours 4 4 Practical

Pre-requisites:

Objective: The objective of this course to make the students to understand and formulate managerial situations in a theoretic framework in a decision making. It focuses on developing skills in structuring and analyzing problems and to inculcate the attitude of developing an executable solution to the problem with the help of some advanced statistical techniques.

Course Outcome: Co-1: To acquaint the students with basic statistics. CO-2: To learn concept of business research and its application. CO-3: Focuses on developing skills in structuring the research. CO-4: To understand statistical techniques for developing executable solution

Theory syllabus

Unit Content Hrs

1 Concept of business research and its applications in the various functions of management, Types of research-Basic and Applied Research, Ontology and Epistemology of business research, Quantitative V. Qualitative research, Types of business problems encountered by the research, Problems and precautions to the researcher in India, Characteristics of good research, ethics in research, Research problem definition and developing its approach, Value of Research Questions, Development of Research Questions and Hypotheses, Steps involved in research process.

12

2 Research design: Exploratory Research Design - Secondary data and Qualitative research, Descriptive Research Design, Causal research design; Research design Comparison; Data Collection; Measurement and Scaling; Scale Evaluation; Questionnaire Design; Research Methods: Structured Interview/Self-completion questionnaire, Structured Observation V. Ethnography; Sampling Methods – Probabilistic & Non Probabilistic Sampling; Sample Design & Procedures Error: Sampling and Non-Sampling Error; Sources of Error

12

3 Parametric Tests: Estimation: Confidence interval and sample size determination. Hypothesis testing: process, type I and type II error, power of test. Data analysis: Univariate, Bivariate and Multivariate Test for means: Z-test, student’s t-test: one sample test; two independent sample test and two dependent sample test (paired sample test). Test for proportions: one sample and two sample test.

12

4 Non-parametric test: Chi-square Test: Test of association, Goodness of fit, Strength of association, Analysis of Variance (ANOVA): One-way ANOVA, Two-way ANOVA (with SPSS); Multivariate Analysis of Variance (MANOVA) (with SPSS). Correlation: Bivariate and multiple; Simple regression; Multiple regression (with SPSS) Exploratory Factor analysis (with SPSS); Other Non-parametric tests (with SPSS): Run test; Binomial test; Sign test; Wilcoxon matched-pairs test; Mann-Whitney rank-sum test and Fridman one-way ANOVA.

12

5 Research proposal and report preparation: format, Types and layout of research report, Precautions in preparing the research report, Guideline for tables, figures and graphs, Bibliography and Annexure in report, Drawing conclusions, Giving suggestions and recommendations to the concerned persons.

12

Practical content

Page 18: SEMSETER-I Basicpage/MBA... · 2 Fundamentals of Algorithm & Flowchart Algorithms, Flowchart, Pseudocode, Structured programming - top-down and bottom-up. 4 3 Introduction to C programming

Note: Version 1.0.0.0 (First Digit= New syllabus/Revision in Full Syllabus, Second Digit=Revision in

Teaching Scheme,Third Digit=Revision in Exam Scheme, Forth Digit= Content Revision)

L=Lecture, TU=Tutorial, P= Practical/Lab., TW= Term work, DT= Direct Teaching, Lab.= Laboratory

work

CE= Continuous Evaluation, SEE= Semester End Examination

Text Books

1

Reference Books

1 2 3 4 5 6 7 8 9 10 11

Quantitative Techniques in ManagementbyVohra, Tata McGraw-Hill, Latest edition. Quantitative Techniques by Kothari, Vikas Publication, 1996, 3rded. Business Statistics for Contemporary Decision Making by Ken Black (Fourth or later edition) Wiley Student Edition. Statistics for Management by Richard I. Levin and David S. Rubin (Pearson Education). Statistics for Management, T N Srivastava and ShailajaRego, TMH. Complete Business Statistics, Amir D Aczel and JayavelSounderpandian, TMH. Business Statistics by J. K. Sharma (2nd Edition or later edition) Pearson Mathematics and Statistics for Management, K. B. Akhilesh& S. B. Balasubrahmanyam, Vikas Publishing. Statistical Method by Gupta, S.C., Himalaya Publication. Business Statistics by R.S.Bharadwaj, Excel Books. Comprehensive Statistical Methods by P.N. Arora, S. Chand.

GANPAT UNIVERSITY

FACULTY OF MANAGEMENT STUDIES

Programme MBA Branch/Spec. Business Analytics

Semester Version 1.0.0.0

Effective from Academic Year 2020-21 Effective for the batch Admitted in June 2020

Subject code IIA03VBA Subject Name VISUAL BUSINESS ANALYTICS (SAS Subject)

Teaching scheme Examination scheme (Marks)

(Per week) Lecture(DT) Practical(Lab.) Total CE SEE Total

L TU P TW

Credit 3 Theory 60 40 100

Hours 3 Practical

Pre-requisites:

Objective:

Course Outcome:

Theory syllabus

Unit Content Hrs

Getting Started with SAS Visual Analytics • Exploring SAS Visual Analytics concepts.

• Using the SAS Visual Analytics home page.

• Discussing the course environment and scenario.

Administering the Environment and Managing Data • Exploring SAS Visual Data Builder.

• Exploring SAS Visual Analytics Administrator.

Using SAS Visual Analytics Explorer • Examining Visual Analytics Explorer.

• Selecting data and defining data item properties.

• Creating visualizations.

• Enhancing visualizations with analytics.

• Interacting with visualizations and explorations.

Page 19: SEMSETER-I Basicpage/MBA... · 2 Fundamentals of Algorithm & Flowchart Algorithms, Flowchart, Pseudocode, Structured programming - top-down and bottom-up. 4 3 Introduction to C programming

Note: Version 1.0.0.0 (First Digit= New syllabus/Revision in Full Syllabus, Second Digit=Revision in

Teaching Scheme,Third Digit=Revision in Exam Scheme, Forth Digit= Content Revision)

L=Lecture, TU=Tutorial, P= Practical/Lab., TW= Term work, DT= Direct Teaching, Lab.= Laboratory

work

CE= Continuous Evaluation, SEE= Semester End Examination

Designing Reports with SAS Visual Analytics • Examining the SAS Visual Analytics Designer interface.

• Creating a simple report.

• Creating data items and working with graphs.

• Working with filters and report sections.

• Establishing interactions, links, and alerts.

• Working with gauges and display rules.

• Working with tables.

• Working with other objects.

Using SAS Visual Analytics Custom Graph Builder • Creating custom graphs.

• Using custom graph objects in a report.

Case Study: Creating Analyses and Reports with SAS Visual Analytics: MegaCorp case study.

Practical content

Text Books

1

Reference Books

Page 20: SEMSETER-I Basicpage/MBA... · 2 Fundamentals of Algorithm & Flowchart Algorithms, Flowchart, Pseudocode, Structured programming - top-down and bottom-up. 4 3 Introduction to C programming

Note: Version 1.0.0.0 (First Digit= New syllabus/Revision in Full Syllabus, Second Digit=Revision in

Teaching Scheme,Third Digit=Revision in Exam Scheme, Forth Digit= Content Revision)

L=Lecture, TU=Tutorial, P= Practical/Lab., TW= Term work, DT= Direct Teaching, Lab.= Laboratory

work

CE= Continuous Evaluation, SEE= Semester End Examination

GANPAT UNIVERSITY

FACULTY OF MANAGEMENT STUDIES

Programme MBA Branch/Spec. Business Analytics

Semester Version 1.0.0.0

Effective from Academic Year 2020-21 Effective for the batch Admitted in June 2020

Subject code IIA04DIM Subject Name DATA INTEGRATION FOR MANAGERS (SAS Subject)

Teaching scheme Examination scheme (Marks)

(Per week) Lecture(DT) Practical(Lab.) Total CE SEE Total

L TU P TW

Credit 4 Theory 60 40 100

Hours 4 Practical

Pre-requisites:

Objective:

Course Outcome:

Theory syllabus

Unit Content Hrs

Introduction to the platform for SAS Business Analytics and SAS Data Integration Studio • exploring the platform for SAS Business Analytics

• working with SAS Data Integration Studio

• introduction to change management

Introduction to the platform for SAS Business Analytics and SAS Data Integration Studio • exploring the platform for SAS Business Analytics

• working with SAS Data Integration Studio

• introduction to change management

Introduction to Course Data and Course Scenario • explaining the course data

• explaining how to define target data

• introduction to the course scenario Creating Metadata for Source Data

• setting up the environment

• registering source data Creating Metadata for Target Tables

• registering target tables

• importing metadata Creating Metadata for Jobs

• creating jobs

• exploring functionality of Job Editor

• submitting jobs to create target tables

• specify how to document jobs

• recording job performance statistics

• chaining job flows

Working with Transformations • working with the extract transformation

• working with the data validation transformation

• working with the apply lookup standardization transformation

• working with the sort transformation

• working with the append transformation

• working with an analysis transformation

• working with the transpose transformation

• working with the transformation generator wizard

• working with the user-written code transformation

Page 21: SEMSETER-I Basicpage/MBA... · 2 Fundamentals of Algorithm & Flowchart Algorithms, Flowchart, Pseudocode, Structured programming - top-down and bottom-up. 4 3 Introduction to C programming

Note: Version 1.0.0.0 (First Digit= New syllabus/Revision in Full Syllabus, Second Digit=Revision in

Teaching Scheme,Third Digit=Revision in Exam Scheme, Forth Digit= Content Revision)

L=Lecture, TU=Tutorial, P= Practical/Lab., TW= Term work, DT= Direct Teaching, Lab.= Laboratory

work

CE= Continuous Evaluation, SEE= Semester End Examination

• working with the loop transformations

• using XML writer and file transfer

• working with new SAS Data Integration Studio transformations

• working with status handling Defining Table Relationships

• reviewing the data model

• defining integrity constraints

• defining keys and indexes

• exploring various load techniques

Working with Slowly Changing Dimensions • defining slowly changing dimensions

• working with SCD Type 2 loader transformation

• working with the lookup transformation Working with Transformations

• working with the transformation generator wizard

Implementing Data Quality Techniques (Self-Study) • creating and applying match codes

• building and applying standardization schemes

• apply the DataFlux IS Job and DataFlux IS Service transformations

Deploying Jobs • specify how to deploy jobs for batch scheduling

• specify how to deploy jobs as stored processes

• specify how to deploy jobs for web services Maintaining and Administering SAS Data Integration Studio

• establishing project repositories for change management

• working with impact analysis

• moving metadata

• enabling status handling

• setting up the SAS Data Quality Server software

Practical content

Text Books

1

Reference Books

Page 22: SEMSETER-I Basicpage/MBA... · 2 Fundamentals of Algorithm & Flowchart Algorithms, Flowchart, Pseudocode, Structured programming - top-down and bottom-up. 4 3 Introduction to C programming

Note: Version 1.0.0.0 (First Digit= New syllabus/Revision in Full Syllabus, Second Digit=Revision in

Teaching Scheme,Third Digit=Revision in Exam Scheme, Forth Digit= Content Revision)

L=Lecture, TU=Tutorial, P= Practical/Lab., TW= Term work, DT= Direct Teaching, Lab.= Laboratory

work

CE= Continuous Evaluation, SEE= Semester End Examination

GANPAT UNIVERSITY

FACULTY OF MANAGEMENT STUDIES

Programme MBA Branch/Spec. Business Analytics

Semester Version 1.0.0.0

Effective from Academic Year 2020-21 Effective for the batch Admitted in June 2020

Subject code IIA05DMS Subject Name DATA BASE MANAAGEMENT SYSTEMS

Teaching scheme Examination scheme (Marks)

(Per week) Lecture(DT) Practical(Lab.) Total CE SEE Total

L TU P TW

Credit 4 4 Theory 60 40 100

Hours 4 4 Practical

Pre-requisites:

Objective: This course attempts to introduce the students to database management systems, with an emphasis on how

to organize, maintain and retrieve - efficiently, and effectively - information from a DBMS.

Course Outcome:

Upon successful completion of this course, students should be able to:

CO-1: Describe the fundamental elements of relational database management systems

CO-2: Explain the basic concepts of relational data model, entity-relationship model, relational database design,

relational algebra and SQL.

CO-3: Design ER-models to represent simple database application scenarios

CO-4: Convert the ER-model to relational tables, populate relational database and formulate SQL queries on data.

CO-5: Improve the database design by normalization.

CO-6: Security and storage of Data in the system

CO-7: Familiar with basic database storage structures and access techniques: file and page organizations, indexing

methods including B tree, and hashing

Theory syllabus

Unit Content Hrs

1 Introductory concepts of DBMS and Modelling :

Introduction and applications of DBMS, Purpose of data base, Data, Independence, Database System

architecture- levels, Mappings, Database, users and DBA

Relational Model :

Structure of relational databases, Domains, Relations, Relational algebra – fundamental operators and

syntax, relational algebra queries, tuple relational calculus

Entity-Relationship modelling and Enhanced-Entity Relationship Modelling :

Basic concepts, Design process, constraints, Keys, Design issues, E-R diagrams, weak entity sets,

extended E-R features – generalization, specialization, aggregation, reduction to E-R database schemes

10

3 Relational Database design : 5

Page 23: SEMSETER-I Basicpage/MBA... · 2 Fundamentals of Algorithm & Flowchart Algorithms, Flowchart, Pseudocode, Structured programming - top-down and bottom-up. 4 3 Introduction to C programming

Note: Version 1.0.0.0 (First Digit= New syllabus/Revision in Full Syllabus, Second Digit=Revision in

Teaching Scheme,Third Digit=Revision in Exam Scheme, Forth Digit= Content Revision)

L=Lecture, TU=Tutorial, P= Practical/Lab., TW= Term work, DT= Direct Teaching, Lab.= Laboratory

work

CE= Continuous Evaluation, SEE= Semester End Examination

Functional Dependency – definition, trivial and non-trivial FD, closure of FD set, closure of attributes,

irreducible set of FD, Normalization – 1Nf, 2NF, 3NF, Decomposition using FD- dependency preservation,

BCNF, Multi- valued dependency, 4NF, Join dependency and 5NF

4 Query Processing & Query Optimization :

Overview, measures of query cost, selection operation, sorting, join, evaluation of expressions, transformation of relational expressions, estimating statistics of expression results, evaluation plans, materialized views

4

5 Transaction Management : Transaction concepts, properties of transactions, serializability of transactions,

testing for serializability, System recovery, Two- Phase Commit protocol, Recovery and Atomicity, Log-

based recovery, concurrent executions of transactions and related problems, Locking mechanism, solution

to concurrency related problems, deadlock, , two-phase locking protocol, Isolation, Intent locking

9

6 Data Security, Storage and indexing:

Introduction, Discretionary access control, Mandatory Access Control, Data Encryption

Single level and multi level indexing, Dynamic Multi level indexing using B Trees and B+ Trees, Query

processing and Query Optimization, Introduction to database security.

7

7 SQL Concepts :

Basics of SQL, DDL,DML,DCL, structure – creation, alteration, defining constraints – Primary key, foreign

key, unique, not null, check, IN operator,

Functions - aggregate functions, Built-in functions –numeric, date, string functions, set operations, sub-

queries, correlated sub-queries, Use of group by, having, order by, join and its types, Exist, Any, All , view

and its types. transaction control commands – Commit, Rollback, Save point

PL/SQL Concepts :

Cursors, Stored Procedures, Stored Function, Database Triggers

10

Practical content

Reference Books

1

2

3

4

5

An introduction to Database Systems by C J Date, Addition-Wesley Publications

Database System Concepts by Abraham Silberschatz, Henry F. Korth & S. Sudarshan, McGrew Hill Publication

Understanding SQL by Martin Gruber, BPB Publications

Database Management Systems (3/e), by Raghu Ramakrishnan and Johannes Gehrke, McGraw Hill, 2003.

Database Systesm- Design, Implementation and Management (7/e), by Peter Rob and Carlos Coronel, Cengage

Learning, 2007.

Page 24: SEMSETER-I Basicpage/MBA... · 2 Fundamentals of Algorithm & Flowchart Algorithms, Flowchart, Pseudocode, Structured programming - top-down and bottom-up. 4 3 Introduction to C programming

Note: Version 1.0.0.0 (First Digit= New syllabus/Revision in Full Syllabus, Second Digit=Revision in

Teaching Scheme,Third Digit=Revision in Exam Scheme, Forth Digit= Content Revision)

L=Lecture, TU=Tutorial, P= Practical/Lab., TW= Term work, DT= Direct Teaching, Lab.= Laboratory

work

CE= Continuous Evaluation, SEE= Semester End Examination

GANPAT UNIVERSITY

FACULTY OF Management studies

Programme MBA Branch/Spec. Business Analytics

Semester II Version 1.0.0.1

Effective from Academic Year 2020-21 Effective for the batch Admitted in June 2020

Subject code 2IIA06HRM Subject Name HUMAN RESOURCES MANAGEMENT

Teaching scheme Examination scheme (Marks)

(Per week) Lecture(DT) Practical(Lab.) Total CE SEE Total

L TU P TW

Credit 4 4 Theory 60 40 100

Hours 4 4 Practical

Pre-requisites:

Objective:This course exposes students to the critical tasks and functions of Human Resources Management and

understands the dynamics and processes of labour management relations. It helps students appreciate relevant tools

and techniques to internalize and critical functions of human resources management, and sensitize students to human

resources developments processes

Course Outcome:

CO-1: To familiarize the students with definition, development, functions of Human Resources Management.

CO-2: To learn on various approaches of Recruitment & Selection.

CO-3: To describe on training and development & Performance Appraisal of employees.

CO-4: To make understand students on termination and grievance procedure.

CO-5: To expose the students to the critical tasks and functions of Human Resources Management to human resources

developments processes.

CO-6: To understand the dynamics and processes of labour management relations.

Theory syllabus

Unit Content Hrs

1 Nature and the development of personnel management: historical context in India, the welfare tradition,

the industrial relations tradition, the control of labor tradition. Personnel function: personnel as a specialist

function, policies, strategies, and operating plans of personnel, and the personnel activities. Human

resource management (HRM): political, social, and social context of change, HRM within organization

structure.

12

2 Human resources planning: definition, purposes, processes and limiting factors; human resources

information systems (HRIS): personnel records and statistics, the use of information systems in HRM, HR

accounting and audit. The systematic approach to recruitment: recruitment policy, recruitment

procedures, job analysis, job description, personnel specification, recruitment methods, and evaluation.

The systematic approach to selection: the selection procedure, the design of application form, selection

methods, the offer of employment, and evaluation of process.

14

3 Training and development: purpose, methods, and issues in training and management development

programs. Performance appraisal: definition, purpose of appraisal, procedures and techniques including

360 Degree Appraisal, the appraisal interview, and follow up. Reward management: job evaluation,

12

Page 25: SEMSETER-I Basicpage/MBA... · 2 Fundamentals of Algorithm & Flowchart Algorithms, Flowchart, Pseudocode, Structured programming - top-down and bottom-up. 4 3 Introduction to C programming

Note: Version 1.0.0.0 (First Digit= New syllabus/Revision in Full Syllabus, Second Digit=Revision in

Teaching Scheme,Third Digit=Revision in Exam Scheme, Forth Digit= Content Revision)

L=Lecture, TU=Tutorial, P= Practical/Lab., TW= Term work, DT= Direct Teaching, Lab.= Laboratory

work

CE= Continuous Evaluation, SEE= Semester End Examination

purposes and methods, factors affecting compensation policy, effect of job evaluation on human relations,

compensation systems: base and variable, fringe benefits, the legal framework on pays and benefits.

4 Discipline and grievance procedures: definition, disciplinary procedure model, the other procedures,

grievance procedures and interview. Industrial relations: aspect of industrial relations (IR), nature and

importance of union-management relations.

12

5 Termination of employment: retirement, resignation, and termination of contract: layoff and exit

interviews. Dealing with the human aspects of terminations: procedures for terminations, counselling,

training and notice of dismissal.

10

Practical content

Text Books

1

Reference Books

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

Bratton J and Gold J- Human Resource Management: Theory and Practice (Palgrave, 2003)

Gomez-Mejia et al- Managing Human Resources (Pearson Education, 3rd edition),

Ivansevich- Human Resource Management (Tata McGraw-Hill)

Aswathappa- Human Resource Management (Tata McGraw-Hill) HR and PM, 2003, 3rd ed.

Dessler- Human Resource Management (Prentice-Hall, 9th edition)

A.K.Singh, B.R.Duggal, Puneet Mohan- Human Resource Management and Development (Sun IndiaPublication,

2004).

Mamoria,Mamoria&Gankar- Dynamics of Industrial Relations in India,Himalaya.

Gary Dessler- Human Resource Mgt., Pearson/PHI

V.S.P. Rao- Human Resource Management, Excel Book

G.P.Sinha and P.R.V.sinha – Industrial Relations and Labour Legislation in India, Himalaya

P.L.Rao- Human Resource Management, Excel Books.

Baron– Strategic Human Resources : Framework for general Managers-John Wiley

S. C. Gupta– Text Book of International HRM – Macmillan

Greer– Strategic Human Resource Management – Pearson

Mamoria and mamoria– Dynamics of Industrial Relation , Himalaya Publishing

VenkatRatnam– Globalization and Labour Mgt. Relations, Sage Publications, New Delhi