| Instructor: |
John C. Kissel, Ph.D. |
| Office Hours: | To be arranged (drop-ins welcome immediately preceding class). |
| Class Period: | Lectures: TTh 9:30-10:20; Discussion session: F 10:30-11:20. |
| Location: |
TTh: Classroom A*, Health Science Library Info. Ctr. (3rd Floor); |
| Description: | Examination of mechanistic models used to predict human exposure to environmental contaminants. Emphasis on development and use of probabilistic, in contrast to deterministic, approaches. Comparison of model predictions with observed biomarkers of exposure. Supplemented with case studies related to environmental and occupational exposures. |
| Objectives: | At the conclusion of the course students should be able to: recognize and interpret terminology used to quantitatively describe exposure to environmental contaminants; explain “compounded conservatism” and its significance in a regulatory context; conduct one- and two-dimensional stochastic simulations using Crystal Ball™ (and/or alternative software); present results from such simulations graphically; describe common pitfalls in probabilistic analyses; distinguish between true population variability and uncertainty due to ignorance; apply course lessons to analysis of original data. |
| Text: | No text. Readings assigned from pertinent literature. |
| Web site: | http://depts.washington.edu/~jkspage/envh574.html |
| Grading: | No tests. Grades based on a project (including oral presentation), homework and participation in lectures and labs. |
Additional Links for EnvH 574:
Downloadable Files
