ESD.862 Modeling Risk, Dynamics and Decisions, Fall 2011
Guest Lecturer and Teaching Assistant
syllabus | evaluations
Course covers advanced methods for modeling risk and decision-making under uncertainty, including: Monte Carlo methods, MCMC, dynamic and stochastic optimization, and advanced topics in simulation. Applications drawn primarily from energy and environmental systems modeling.
Introductory Lectures on Stochastic Programming