Hydrologic and Environmental Data Analysis

Catalog description

Focus on development of quantitative approaches used to interpret observations on hydrological and environmental processes across space and time, with application to case studies in water science. In this course, we will (1) generate knowledge of fundamental processes in aquatic ecosystems as they relate to contemporary issues, (2) apply data science skills to datasets in the water resources field, and (3) quantitatively explore a topic in aquatic science through an in-depth course project. Recommended prerequisite: prior experience with computational software (R preferred; Stata, MATLAB, and/or GIS acceptable). Instructor consent required.