Explore algorithm design and analysis including algorithmic paradigms, maximum flow, randomized algorithms, data structures, NP-completeness and approximation algorithms. The equivalent of three lecture hours a week for one semester. Data Science 388G and Computer Science 388G may not both be counted. Offered on the letter-grade basis only. Prerequisite: Graduate standing.