• Introduces machine learning as a tool to understand natural biological systems, with an evolving emphasis on problems in molecular and cellular biology that are being actively advanced using machine learning. Students design, implement, and interpret machine learning approaches to aid in predicting protein structure, probing protein structure/function relationships, and imaging biological systems at scales ranging from the atomic to cellular. Students taking graduate version complete an additional project-based assignment. Students cannot receive credit without completion of the core subject 6.C01.

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