Modern quantitative methods for decision making under uncertainty. Topics include: probability theory, personal probabilities and utilities; decision trees; ROC curves, sensitivity analysis, dominant strategies, Bayesian networks and influence diagrams; Markov models and time discounting; cost-effectiveness analysis; multi-agent decision-making and game theory.

Pre-requisite: 100-level STA course.