EEB430H1: Modeling in Ecology and Evolution



Mathematics is central to science because it provides a rigorous way to go from a set of assumptions to their logical consequences. In ecology & evolution this might be how we think a virus will spread and evolve, how climate change will impact a threatened population, or how much genetic diversity we expect to see in a randomly mating population. In this course you'll learn how to build, analyze, and interpret mathematical models of increasing complexity through readings, lectures, tutorials, assignments, computer labs, and a final project. The focus is on deterministic dynamical models (recursions and differential equations) but we also touch on probability theory and stochastic simulations.

Distribution Requirements
Breadth Requirements
Living Things and Their Environment (4)
Mode of Delivery
In Class