IEMS 445-0
Decision and Risk Analysis
Theory and practice of decision making under uncertainty. Decision trees, influence diagrams, the value of information; Bayesian approaches, including conjugate and predictive distributions; utility theory foundations, risk preference, multi-attribute utility.
Prerequisites & course information
Prerequisite: Graduate students who have completed IEMS 202-0 or equivalent.
Sources
- Course catalogue ↗2026–2027