C S 388G
Algorithms: Techniques and Theory
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.
Prerequisites & course information
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.
Sources
- Course catalogue ↗2026-2027