C S X88G C S 388G Algorithms: Techniques and Theory 3 Hours
3 Lecture Hours 0 Lab Hours
Explore advanced subjects in algorithm design and analysis including algorithmic paradigms, data structures, maximum flow, randomized algorithms, NP-completeness, and approximation algorithms. Data Science 388G and Computer Science 388G may not both be counted. Three lecture hours a week for one semester.
Pre/Corequisites: Graduate standing and knowledge of algorithmic paradigms and discrete mathematics.
Grading: Student Option
Repeatable for credit: No
Academic Level: Doctoral