The course will introduce students to the most commonly applied approaches, predictive models, and computational tools to characterize chemical exposure and hazard. Particular emphasis will be placed on understanding of uncertainties and limitations of models, as well as the process for selecting models of an adequate level of complexity for the task at hand. Weekly hours: 3 Lecture hoursRestriction(s): Open to School of Environment and Sustainability (SENS) and Toxicology students, and other students by permission. Prerequisite(s): Permission of the instructor; Students need a bachelor's degree in a science-related discipline (e.g., environmental science, toxicology, biology, chemistry, health sciences, or a related discipline), or they must have equivalent scientific and technical experience from work or other educational and training program. They must also have completed TOX 872 and TOX 873, or equivalent.
The course will introduce students to the most commonly applied approaches, predictive models, and computational tools to characterize chemical exposure and hazard. Particular emphasis will be placed on understanding of uncertainties and limitations of models, as well as the process for selecting models of an adequate level of complexity for the task at hand. Weekly hours: 3 Lecture hoursRestriction(s): Open to School of Environment and Sustainability (SENS) and Toxicology students, and other students by permission. Prerequisite(s): Permission of the instructor; Students need a bachelor's degree in a science-related discipline (e.g., environmental science, toxicology, biology, chemistry, health sciences, or a related discipline), or they must have equivalent scientific and technical experience from work or other educational and training program. They must also have completed TOX 872 and TOX 873, or equivalent.
