(= A ENV 315) Environmental Statistics and Computation

Catalog description

This course builds an understanding of natural systems through an introduction to statistical and computational methods used to analyze atmospheric and environmental data. Key goals of the course are to become proficient at drawing conclusions about the behaviors of natural systems using common visualizing methods and statistically analyzing data from observations and dynamical models in a variety of Earth-systems applications. Includes a concise but comprehensive introduction to computation and programming methods suited for students with no background in computer coding via the general-purpose programming language Python. Only one version of A ATM/A ENV 315 may be taken for credit. Prerequisite(s): A ATM 210, A MAT 111 or 112 or T MAT 118. Offered spring semester only.