Alagappa University MBA Quantitative Methods Syllabus

I want the syllabus of Quantitative Methods of MBA III Semester of Alagappa University so can you please provide me?

[Shaleen]

Alagappa University is located in Karaikudi in Sivaganga District in Tamil Nadu, India. the University is recognized by the UGC, Government of India. It was established in 1985.

MBA III Semester syllabus

Core Course XIV – Quantitative Methods

Unit I
Basic Mathematical concepts: Nature of quantitative analysis in the practice of management. Problem, definition, models and their development, Concept of trade off, Notion of constants, Variables and function, Linear and non-linear, simple examples.
Graphical representation of functions and their application; concepts of slope and its relevance; plotting graphs of functions.
Use of functional relationships to understand elasticity of demands. Productive functions; costs of operating a system. Measuring the level of activity of a system in terms of Volume; value and other parameters; Relationship between costs and level of activity, Costs and profits; relevance of marginal, average and total costs. Importance of “relevant costs” for decision making; Break-even analysis and its uses.

Unit II
Introduction to the linear programming; Concepts of optimization; formulation of different types of linear programming; duality and sensitivity analysis for decision making.
solving LP using graphical and simplex method (only simple problems). Interpreting the solution for decision making; other types of linear programming – Transportation – Formulation and solving methods.

Unit III
Introduction to the notion of probability: concept of events; probability of event; joint, conditional and marginal probabilities.

Unit IV
Introduction to simulation as an aid to decision making. Illustration through simple examples of discrete event simulation. Emphasis to be on identifying system parameter, variables, measures of performance etc.

Unit V
Introduction to Decision Theory:
Pay-off & Loss tables. Expected value of pay-off – Expected value of perfect formation; Decision Tree approach to choose optimal course of action – Criteria for decision; Min-Max, Max-Max, Minimizing Maximal Regret & their implications.

References

1. Sharma Operations Research: Theory and applications
2. P.K. Gupta and D.S. Hira – Operations Research
3. V.K. Kapoor – Operations Research
4. Handly A. Taha – Operations Research – An Introduction
5. N.D. Vohra – Quantitative Techniques in Management

Contact address

Alagappa University
University
Alagappa Puram, Karaikudi, Tamil Nadu 630003