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