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MATH 216CMathematical Methods in Data Science III

4 units · MATH · UC San Diego

This is the third course in the sequence for mathematical methods in data science. Topics include non-linear signal processing, compressed sensing and its extensions, phase retrieval, blind deconvolution, neural networks, non-convex optimization, and optimal transport distances. Some scientific programming experience is recommended.

Before you enroll

Prerequisites

From the catalog: “MATH 216B. Students who have not completed MATH 216B may enroll with consent of instructor.”