Intorduction to Quantitative Techniques. Concept Model Building for Business Decisions. Role and Scope Models in Business and Industry. Matrix Algebra Determinations. Solving linear equations by using matrices. Applications of Matrices to value Analysis. Output Model in Matrices. Basic concepts of differentiation. Theories of Extremes.
Linear Programme, Problem formulation and geometric methods of solution. Simplex method. Two phase method, Elementary ideas about duality. Elements of Statistics Probability. Probability Distributions Binomial, Possion and Normal. Correlation and Regression.
Decision Theory, Decision making under uncertainty, Criterion of Maximum, Min., Maxmin and Minmax. Decision making under risk Bayesian approach. Criterion of Maximum likelihood. Decision Tress-Applications, decision making in a Competitive Situation-Game Theory-Types of Games. Two person zero sum games. Mixed strategy. Method of solution.