Institute of Management Studies Devi Ahilya Vishwavidyalaya Indore

I have taken admission in MBA (Marketing Management) Program at Institute of Management Studies Devi Ahilya Vishwavidyalaya Indore. So tell me from where I will download syllabus of MBA (Marketing Management) Program?

[Shaleen]

The Institute of Management Studies Devi Ahilya Vishwavidyalaya Indore was founded in 1969.

Courses:
MBA
PGDHRM
M.Phil
Ph.D

As you are looking for syllabus of MBA (Marketing Management) Program, so here I am providing its detailed syllabus:

Institute of Management Studies MBA (Marketing Management) Program Syllabus

SEMESTER – I
FUNDAMENTALS OF MANAGEMENT
Course Objective: Objective of this course is to help the students gain understanding the functions and responsibilities of the manager, provide them tools and techniques to be used in the performance of managerial job, and enable them to analyze and understand the environment of the organization. Examination Scheme: The faculty member will award internal marks out of 40 based on three assessments of 20 marks each, of which best two will be considered. The end semester examination will be worth 60 marks consisting of two sections A and B respectively. Section A will be of 40 marks and have five theory questions out of which a student will be required to do any four questions. Section B will be of 20 marks and consist of case(s). Course Content: Concept of Management: Introduction to Management & Organizations, Functions and Responsibilities of Managers, Fayol’s Principles of management, Management thought; the Classical School, The Human Relations School, Systems theory, Contingency Management Developing Excellent Managers.

1. Planning: Nature and purpose of planning process, principles of Planning, Types of planning,Advantages and Limitation of planning.
2. Concept and Nature of Objectives: Types of Objectives, Importance of Objectives, Setting objectives, Management by Objective (MBO) benefits and weaknesses of MBO.
3. Strategies and Policies: Concept of Corporate Strategy, formulation of strategy, Types of strategies,Types of policies, principles of formulation of policies, Decision Making Process, Individual Decision Making Models.
4. Organizing: Nature and Purpose of Organizing, Bases of Departmentation, Span Relationship, Line Staff Conflict, Bases of Delegation, Kind of Delegation and Decentralization, methods of Decentralization.
5. Controlling: Concept and Process of Control, Control Techniques. Human Aspects of Control, Control as a feedback system, feed forward Control, Preventive Control, Profit and loss Control, Control through Return on investment, the use of Computer of Controlling & Decision making, the challenges created by IT a Control tool.
6. New era of Management: Managing in a borderless world, international business environment, economic, legal-political, socio-cultural environments, trade-alliances, MNCs, Valuing diversity, its dimensions and attitudes, minority-challenges, glass-ceilings, gender issues in management.

BUSINESS MATHEMATICS AND STATISTICS
PART I – BUSINESS MATHEMATICS
1. Sets, Functions, and Progressions (with specific applications to compounding and discounting techniques)
2. Implications of Limit of Functions, Continuity of a function of one variable.
3. Differentiation concepts: Applications of differentiation in economic and managerial problems like marginal analysis, elasticity, Maxima and Minima.
4. Integration Concepts: Economic application, consumer surplus and producer surplus.
5. Determinants and Matrices with Business application: Types of matrices, operations on matrices, adjoint matrix, inverse matrix, elementary row operations. Solution of simultaneous linear equations using matrices, input/output analysis.

PART II – BUSINESS STATISTICS
1. Introduction to Statistics: Introduction to Measurement of Central Tendency and Variations.
2. Probability Theory and Probability Distributions: Concepts, additive, multiplicative, conditional probability rules, Baye’s Theorem, Binomial, Poisson and Normal distributions- their characteristics and applications
3. Time Series: Time Series and its Components, Analysis, Models of Time Series, Methods of Studying Components of Time Series: Measurement of trend , Measurement of seasonal variations Measurement of cyclic variations.
4. Correlation & Regression: Correlation (Karl Pearson’s and Spearman’s Coefficient), Methods of computing simple correlation and regression.
5. Statistical Decision Theory: Decision making process, Decisions under Uncertainty and Decisions under Risk.