ENVS 3500 - Environmental Data Science (QI)

QI Quantitative Intensive
3 credit(s)

This course is an overview of analytical and sampling methods used for collecting, organizing, and interpreting numeric data to evaluate problems and monitor conditions relating to relationships between environment and society.

Prerequisite(s): STAT 1040, STAT 1045, STAT 1080, or higher math or statistics class

Repeatable for credit: No
Grade Mode: Standard

Course changes effective: Summer 2024