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BMGT332

Quantitative Models for Management Decisions

The aim of this course is to introduce management science techniques for informed decision-making that can be applied in spreadsheet models to assist in the decision-analysis process. Models include Linear Programming, Transportation and Assignment problems, network flow models, Integer and non-linear programming, Simulation and Decision Trees.

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Average GPA: 2.86 between 1,619 students

"W"s are considered to be 0.0 quality points. "Other" grades are not factored into the average GPA calculation.