MATH 216C. Mathematical Methods in Data Science III (4 units)
Link to catalog page: https://catalog.ucsd.edu/courses/MATH.html#math216c
Description
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. Prerequisites: MATH 216B. Students who have not completed MATH 216B may enroll with consent of instructor.
Prerequisite courses
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Successor courses
No courses have MATH 216C as a prerequisite.