DSC 388G
Algorithms: Techniques and Theory
Explore algorithm design and analysis including algorithmic paradigms, maximum flow, randomized algorithms, data structures, NP-completeness and approximation algorithms. Data Science 388G and Computer Science 388G may not both be counted. The equivalent of three lecture hours a week for one semester.
Prerequisites & course information
Explore algorithm design and analysis including algorithmic paradigms, maximum flow, randomized algorithms, data structures, NP-completeness and approximation algorithms. Data Science 388G and Computer Science 388G may not both be counted. The equivalent of three lecture hours a week for one semester.
Sources
- Course catalogue ↗2026-2027