BIOE 139 Mathematical Modeling and Data Science in Ecology and Evolution

Teaches students how to build mathematical models and fit them to data to answer questions in ecology and evolution. Includes learning to write code in the R programming language to simulate models and perform statistical analyses. Topics include population and evolutionary dynamics, species interactions, and behavior. Students cannot receive credit for this course and BIOE 239. Prerequisite(s): BIOE 107, BIOE 109, and permission of instructor. (Formerly offered as BIOE 148A Quantitative Ecology.)