Fall 2023 Course Descriptions

CS 169-01 Statistical Bioinformatics

D. Slonim
MW 3:00-4:15, Room To Be Announced
I+ Block

Computational methods and analyses in the context of bioinformatics and biomedical data. Statistical methods in bioinformatics and biomedicine, including the heterogeneous high-dimensional data that tends to arise in this context. Assessment of hypotheses and data quality, visualization, and identification of patterns, outliers, and artifacts of bioinformatics data. Probability estimation through simulation. Presentation of statistical results to specific audiences.

Prerequisite: Recommendations: CS 11 and (CS/Math 61 or Math 65), or graduate standing.

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