C S X88D C S 388D Data-Driven Algorithm Design 3 Hours
3 Lecture Hours 0 Lab Hours
Analyze recent developments on the role of machine learning in designing algorithms from the dual viewpoints of tailoring algorithm design to exploit the availability of data as well as tailoring learning to optimize for algorithm performance. Computer Science 388D and 395T (Topic: Data-Driven Algorithm Design) may not both be counted. Three hours a week for one semester
Pre/Corequisites: Graduate standing and knowledge of undergraduate algorithms and complexity, and at least one graduate course in theoretical computer science. Prior knowledge in randomized algorithms and machine learning.
Grading: Student Option
Repeatable for credit: No
Academic Level: Doctoral