BMDE 521. Computational Methods Single-Cell Analytics.

Credits: 3
Offered by: Medicine (Faculty of Engineering)
Terms offered: Fall 2025
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Description

Computational methods (particularly machine learning methods) for various single-cell data analysis, modelling, and visualization tasks that could drive novel biomedical discoveries, focusing on “real-world” biomedical applications.
  • Prerequisites: MATH 203, MATH 223, MATH 323, one course in computer programming and additional background in Calculus and Probability is required (e.g., MATH 222, MATH 204), or permission of the instructor.
  • Restrictions: Not open to students who have taken or are taking EXMD 521.

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