Teaching fellow for Dr. Elsie Sunderland

RDS500 introduces the framework of risk assessment, considers its relationship with cost-benefit, decision analysis and other tools for improving environmental decisions. The scientific foundations for risk assessment (epidemiology, toxicology, and exposure assessment) are discussed. The mathematical sciences involved in developing models of dose-response, fate and transport, and the statistical aspects of parameter estimation and uncertainty analysis are introduced. Case studies are used to illustrate various issues in risk assessment and decision making.

Course Activities: Lectures, discussions, case studies.

Course Note: Course required for all Exposure, Epidemiology and Risk Program graduate students