20.260 Computational Analysis of Biological Data
Presents foundational methods for analysis of complex biological datasets. Covers fundamental concepts in probability, statistics, and linear algebra underlying computational tools that enable generation of biological insights. Assignments focus on practical examples spanning basic science and medical applications. Assumes basic knowledge of calculus and programming.
This class has no prerequisites.
20.260 will not be offered this semester. It will be available during IAP.
Lecture occurs 1:00 PM to 4:00 PM on Mondays, Tuesdays, Wednesdays, Thursdays and Fridays in 16-220.
This class counts for a total of 6 credits.
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