STAT9910-303: Large-Scale Optimization for Data Science
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Lecture Times
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Assessment
Course Policies
Prerequisites. Students should have backgrounds in basic linear algebra and in basic probability (measure-theoretic probability is not needed), as well as knowledge of a programming language like MATLAB or Python to conduct simple simulation exercises. Students should also know the basic notion of convexity and optimization; a course such as STAT4810 (Convex Optimization for Statistics and Data Science) would be beneficial.
Piazza. The main mode of electronic communication between students and staff, as well as amongst students, will be through http:www.piazza.com/. It is intended for general questions about the course, clarifications about assignments, student questions to each other, discussions about material, and so on. We strongly encourage students to participate in discussion, ask and answer questions through this site. The course staff will monitor discussions closely.
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