BMDE 521 Computational Methods Single-Cell Analytics (3 credits)

Overview

Biomedical Engineering : 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.

Terms: Fall 2024

Instructors: Ding, Jun (Fall)

• 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.