Prerequisites: graduate standing; or consent of instructor
Description: An introduction of fundamental principles and methodology of machine learning and artificial intelligence (AI) to investigate critical research questions within the fields of environmental science. Explores cutting-edge techniques and tools based on machine learning and AI algorithms with applications from toxicology, environmental health, and air pollution.
Cross-listing: Cross-listed with ENSC 209.