BIOL709F
Selected Advanced Topics in Biology; Statistics & Modeling for Biologists
This course will provide an overview of essential probability and statistics for biology graduate students using R. Topics include: parameter estimation (moment, likelihood, Bayesian), confidence intervals and hypothesis testing, multiple testing, experimental design and power analysis, and resampling-based measures of uncertainty. Practical use of computers will be emphasized, although previous experience with R is not necessary.
Sister Courses: BIOL709A, BIOL709B, BIOL709C, BIOL709J, BIOL709R, BIOL709V, BIOL709W, BIOL709X
Past Semesters
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During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.
Average GPA of 3.49 between 25 students*
* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.