Decision Analysis
Examine the theory and principles required to make good decisions in the face of uncertainty. Discuss expected utility theory, families of utility functions, Bayesian inference, value of information, probability elicitation, scoring rules, and the verification of probabilistic forecasts. Explore how these apply to areas including engineering, business, public policy, healthcare, and sports. Operations Research and Industrial Engineering 390D (Topic 2) and 390R (Topic 17) may not both be counted.
Prerequisites & course information
Examine the theory and principles required to make good decisions in the face of uncertainty. Discuss expected utility theory, families of utility functions, Bayesian inference, value of information, probability elicitation, scoring rules, and the verification of probabilistic forecasts. Explore how these apply to areas including engineering, business, public policy, healthcare, and sports. Operations Research and Industrial Engineering 390D (Topic 2) and 390R (Topic 17) may not both be counted.
Sources
- Course catalogue ↗2026-2027