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DSC X88J DSC 388J  Optimization  3 Hours

3 Lecture Hours  0 Lab Hours  
Explore a background on convex sets and functions, linear programming, convex programming, and iterative first-order and second-order methods. Data Science 388J and 395T (Topic: Optimization) may not both be counted. The equivalent of three lecture hours a week for one semester.
Pre/Corequisites: Graduate standing and Data Science 388G.  
Grading: Student Option  
Repeatable for credit: No  
Academic Level: Master's