The objective of the course is to equip the student with basic quantitative tools required to perform the role as a manager. This will enable him to do analytical evaluation and arrive at logical conclusions & inferences to the decisions.
Introduction to Quantitative Techniques
Concept Model Building for Business Decisions, Matrix, Determinants, Solving Linear Equations by Using Matrices, Applications of Matrices to Value Analysis, Output Model in Matrices, Basic Concepts of Differentiation. Theories of Extremes.
Linear Programming
Problem Formulation and Graphical Methods of Solution, Simplex Method, Two Phase Method, Elementary Ideas About Duality
Elements of Statistics
Probability, Probability Distributions Binomial, Poisson and Normal. Correlation and Regression.
Decision Theory
Decision Making Under Uncertainty, Decision Making Under Risk, Bayesian Approach. Decision Tree-Applications, Decision Making in a Competitive Situation
Game Theory
Types of Games, Two Person Zero Sum Games, Mixed Strategy, Method of Solution.
* A minimum of one case study will be discussed per unit of the syllabi.
Suggested Readings: