3.0

credits

Average Course Rating

Prepares students to use techniques of exposure assessment to quantitatively estimate exposures in occupational and non-occupational settings. Introduces concepts of exposure variability and its implications for interpreting small exposure data sets. Challenges students to apply advanced techniques such as mathematical modeling of exposures using exposure determinant information, analysis of variance for between- and within-subject variability, Monte Carlo analysis of uncertainty, Bayesian decision analysis using small data sets, exposure assessment strategies in occupational settings. Explores case studies to assess exposures in real-life scenarios using multiple methods. Critically evaluates key scientific papers on exposure assessment strategies.