Ecological and Evolutionary Statistics

3.0 credits · Undergraduate

This course develops quantitative and programming skills essential for designing, analyzing, and communicating ecological and evolutionary research. Emphasis is placed on sampling design, hypothesis formulation, statistical inference, and data analysis as an integrated process rather than separate steps. Students will learn to translate biological questions into testable predictions, evaluate them with data, and interpret results critically. Instruction focuses on conceptual understanding and informed choice of methods, preparing students for independent learning of advanced techniques. Data analysis is conducted in R. Case studies draw from contemporary ecological and evolutionary research. The course is tailored for students pursuing an Honors thesis, and the in-class project allows students to analyze data directly related to their Honors research. Grades are based on written assignments, final projects, and in-class participation.