Topics in Biology (345-0-2)

Topic

Data analysis and visualization for ecology, evolu

Instructors

Paul CaraDonna

Meeting Info

Technological Institute M120: Tues, Thurs 3:30PM - 4:50PM

Overview of class

This course is a hands-on, practical guide to quantitative analysis and data visualization in ecology, evolution, and conservation. Students will work with real datasets from these fields, practicing the statistical and visualization skills needed to address pressing environmental questions. This class is tailored to the challenges of research in ecology, evolution, and conservation, emphasizing when and why to apply particular methods, how to interpret results, and how to communicate findings to scientific and public audiences.

The course begins with a short primer in R to ensure everyone is comfortable with the basics. We then progress through a range of approaches commonly used in ecology and conservation—from t-tests and linear models to more advanced generalized linear models, models with random effects, and ecological network analysis. Data visualization is central: students will use ggplot2 to build effective figures and practice visual design principles broadly applicable across scientific communication.

Quantitative skills are essential for solving real-world problems in ecology, evolution, and conservation. This course is designed to empower students to do just that through applied analysis, interpretation, and visualization.

Enrollment Requirements

Enrollment Requirements: Prerequisites: Students must have completed BIOL_SCI 202-0 or BIOL_SCI 240-0, BIOL_SCI 203-0 or BIOL_SCI 241-0, and BIOL_SCI 234-0 to register for this course.