Course Description
This course introduces quantitative methods and analytical techniques for engineering decision-making under certainty, risk, and uncertainty. Topics include elementary decision-making methods when random factors are present, decision trees, expected utility analysis, influence diagrams, value of information, sensitivity analysis, and multi-criteria decision-making. Emphasis is placed on evaluating alternatives and supporting effective decision-making in engineering and industrial systems using analytical and probabilistic models.