BMDE 521 Computational Methods Single-Cell Analytics

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

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.

Prerequisite courses: MATH 203, MATH 204, MATH 222, MATH 223, MATH 323

Restrictions

Not open to students who have taken or are taking EXMD 521.

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