Applied Decision Analysis
College of Business + IT
This course covers the options available for dealing with decisions under uncertainty. It is designed to acquaint students with basic ideas from decision theory to examine how to make better decisions. Topics include judgment and choice biases, applying statistical data, dealing with risk and decision making under risk, decision making under uncertainty, assessment of probabilities, Bayesian statistics, value of information, decisions with multiple objectives, analytic hierarchy process (AHP), game theory, dynamic programing, and well-being theory.