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BMDE 520 — Machine Learning for Biomedical Data

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.

  • Credits: 3
  • Faculty: Faculty of Engineering
  • Department: Biomedical Engineering
  • Taught by: Danilo Bzdok
  • Prerequisite: MATH 203, MATH 223, MATH 323, and one course in computer programming (or equivalent background with permission of instructor).

Sections offered

  • Section 001 (Lec), Wed 2:35-5:25 pm — 5 seats open