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Course Prefix: IE   Course #: 512   Keywords: null   showing 1 to 1 of ~1

IE 512LEC Decision Analysis

Lecture

This is a first course in decision analysis that extends the domain of decision making problems from those considered in traditional statistical hypothesis testing scenarios. The course consists of three major sections: 1) modeling decisions, where the emphasis is on structuring decision problems using techniques such as influence diagrams and decision trees; 2) modeling uncertainty, which covers subjective probability assessment, the use of classical probability models, Bayesian analysis, and value of information; and 3) modeling preferences, which introduces the concepts of risk preference, expected utility, and multi-attribute value and utility models. This course is dual-listed with IE 412.

Credits: 3
Grading: Graded (GRD)
Typically Offered: Varies
 
Published: Oct 13, 2020 13:33:43