BMDE 520 Machine Learning for Biomedical Data

3 credits · Biomedical Engineering · Faculty of Engineering · Offered: Fall

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.

Prerequisites

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.

Prerequisite courses: MATH 203, MATH 223, MATH 323

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