Quantitative Methods in Ecology and Evolution
I teach the graduate-level course using quantitative approaches to address ecological and evolutionary problems. This course focuses on a general overview of common computational and quantitative approaches to plotting, manipulating, and analyzing data in ecology and evolution.
The aim of this course is to work with student supplied datasets to make progress in understanding fundamental practices for wrangling data, visualizing data, and fitting models. The course will be taught in the R programming environment, and assignments will be turned in on GitHub. By working with data, we will cover model comparison, hypothesis testing, and statistical approaches, but course emphasis is on the gain of practical skills rather than an in-depth background of statistical theory. This course is intended as a broad overview of commonly used approaches for working with ecological and evolutionary data.
Find the syllabus here.