This course includes an overview and basic elements of quantitative decision-making approaches covered in management science and decision-making discipline. This course covers decision-making processes and models, including linear programming, transportation, assignment, and network models, integer programming, goal programming, nonlinear programming models, decision analysis, queuing models, and simulation modeling. At the end of the course, students will be able to implement and evaluate appropriate decision-making tools and models to address decision-making problems and interpret organizational information and data.
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