Applied Decision Making Techniques
The SCMA 2060 Applied Decision Making Techniques course introduces students to optimal decision making in business situations. This course will introduce students to quantitative decision making concepts and teach them how to apply those concepts in a laboratory setting using statistical software. In the course students will study about decision making techniques such as forecasting theory, linear programming, Bayes rule, simulation and expected utility.
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