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DECISION SCIENCE
3 units
Pre-requisite: MA 104
This course presents an overview of quantitative techniques, applications and implementations. In the first two chapters, the general nature of a linear programming problem is introduced and solutions are discussed using graphical and simplex methods. Special types of linear programming problems like transportation and assignment problems are treated fully in the next chapter. Network analysis is included to train students to plan, organize and control business projects. Separate chapters follow this on break-even analysis, decision analysis, inventory
models, and forecasting. Finally, the course presents the mathematical models useful in helping students make the best possible decisions. All the above topics are introduced by using practical situations in every student’s life.
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