Instructor

Master of Environmental Data Science (MEDS)

Artwork by Allison Horst
Quantitative skills are critical when working with, understanding, analyzing and gleaning insights from environmental data. In the intensive EDS 212 course, students will refresh fundamental skills in basic math (algebra, uni- and multivariate functions, units and unit conversions), differential and integral calculus, differential equations, linear algebra, statistics and probability, and reading, writing and evaluating logical operations.
The goal of EDS 212 (Essential Math in Environmental Data Science) is to prepare incoming MEDS students with quantitative methods, skills, notation and language commonly used in environmental data science and required for their data science courses and projects in the program. By the end of the course, students should be able to:
EDS 212 was originally developed and taught by Allison Horst and then adapted by Ruth Oliver. This new website houses materials which are heavily reused, adapted and expanded from, and inspired by Ruth and Allison’s work.