BSCI339P

Selected Topics in Biology; Data Analysis & Modeling in Ecology & Environmental Life Sciences

Acceptable toward Biological Sciences specialization areas: ECEV, GENB (Quantitative Course). Specifying and estimating models is, arguably, the essential task of life science researchers attempting to understand complex processes. In this course, we will provide an overview of contemporary statistical and computational modeling tools for performing inference, testing hypotheses, and fitting complex processes. This course will be highly applied-i.e., rather than dwell rigorously on theory, we will use the R programming language to learn how to visualize data, estimate models, and report results.

Sister Courses: BSCI339A, BSCI339B, BSCI339D, BSCI339E, BSCI339F, BSCI339G, BSCI339I, BSCI339J, BSCI339K, BSCI339L, BSCI339O, BSCI339Q, BSCI339R, BSCI339S, BSCI339T, BSCI339V, BSCI339W, BSCI339X, BSCI339Y, BSCI339Z

Summer 2023

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Past Semesters

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