BMDE 520 Machine Learning for Biomedical Data (3 credits)

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: This course is not scheduled for the 2024-2025 academic year.

Instructors: There are no professors associated with this course for the 2024-2025 academic year.

• 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.