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BMDE 520 Machine Learning for Biomedical Data (3 credits)

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Offered by: Biomedical Engineering (Faculty of Engineering)

Overview

Biomedical Engineering : Theoretical and practical course in machine learning applied to the expanding richness of biomedical data, including multidimensional biomedical measurements centring on high-resolution body imaging and whole-genome common variant genetics.

Terms: Fall 2021

Instructors: Bzdok, Danilo (Fall)

  • Prerequisite: MATH 203, MATH 223, MATH 323, and one course in computer programming (or equivalent background with permission of instructor).

  • Additional background in Calculus and Probability is recommended, e.g. MATH 222 and MATH 204, but not required.

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