Dr. Berigan specializes in teaching quantitative methods and statistics from an ecological perspective, including topics such as regression, population dynamics, and Bayesian statistics. Descriptions of some of these courses are included below.
Course number: WILD 7150 (4 credits)
Next taught: Fall 2026
Advanced training in the application of analytical procedures to ecological (and other) sciences, such as the analysis and modeling of survival, reproduction, habitat selection, population growth, density-dependence, and morphometrics. The course emphasizes model building and evaluation. The course syllabus is available here.
Course number: WILD 7870 (4 credits)
Next taught: Spring 2028
This graduate course provides a broad overview of the tools and techniques used to interpret spatial processes in ecology, ranging from point pattern analysis to conservation reserve design. For the final project, students conduct an independent spatial analysis on a topic related to their thesis or dissertation and prepare a manuscript based on their results. The course syllabus is available here.
Dr. Berigan offers informal statistical and quantitative consulting for graduate students and undergraduates working on independent projects. Common topics include regression, ANOVA, machine learning, parallel computing, Shiny app development, and introductory Bayesian methods — though other topics are also welcome. If you have any questions, feel free to stop by his office (Forestry Building, Room 2349) or send him an email.