Fall 2022 Course Descriptions

CS 152-02G Statistical Bioinformatics

D. Slonim
MW 4:30-5:45p, Joyce Cummings Center 140
K+ Block

Students will learn to estimate probabilities of events through simulation; perform exploratory probabilistic data analysis to identify outliers, artifacts, and patterns; formulate and assess hypotheses about heterogeneous high dimensional data; appropriately visualize data to assess quality and support interpretation; present statistical data analyses clearly and contextually to specific audiences. These aims will be achieved through homework assignments, in class exercises and discussions, readings, and a course project. There will be weekly assignments throughout the term, alternating between problem sets in R and structured parts of the project.

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