Students choose a topic to research on their own under the guidance of a faculty advisor who will then grade the final written report.

Students choose a topic to research on their own under the guidance of a faculty advisor who will then grade the final written report.

Not available at this time

This course provides an introduction to the field of multi-media (e.g. air, water, soil, food) environmental health risk assessment and how society incorporates risk assessment findings into regulations and policy.

Concepts of control methods used by environmental health and engineering practitioners. Topics include water, wastewater, solid wastes, food sanitation, vector control, housing, and accident control measures.

Students choose a topic on their own under the guidance of a faculty adviser who will then grade the final written report

Bayesian modelling approaches provide natural ways for researchers in many disciplines to structure their data and knowledge, and they yield direct and intuitive answers to scientific questions (see https://bayesian.org/Bayes-Explained). In this course, students will learn how to construct Bayesian models to relate (potentially complex) data to scientific questions, to fit such models fitting using statistical programs (R, JAGS and/or STAN), to interpret model results and lastly, to check model assumptions.

Students choose a topic on their own under the guidance of a faculty adviser who will then grade the final written report

This is not available at this time