CEE 609 - Environmental Data Science

College of Engineering and Computer Science
3 credit(s) At least 1x fall or spring

Crosslisted with: EAR 609

Introduction to data science methods for environmental analysis in the R and Python programming languages. Reproducible scientific computing; open geospatial data sources; common structures of environmental data; space/time applications of supervised machine learning; and high throughput computing.