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Deals with the applications of basic mathematical models in business decision making. It includes model formulation, linear programming, network analysis, decision theory, inventory problems, queuing, regression and demand forecasting, and simulation models.

math-methods linear-programming optimization practical-applications

mathematicalmethods's Introduction

Mathematical Methods

This deals with the applications of basic mathematical models in business decision making. It includes model formulation, linear programming, network analysis, decision theory, inventory problems, queuing, regression and demand forecasting, and simulation models.

Objectives

  1. Solve optimization problems using linear programming models.
  2. Apply mathematical methods in solving for problems in practical situations.
  3. Employ break even analysis, decision theory and inventory in decision making.

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