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C S 388G

Algorithms: Techniques and Theory

The University of Texas at Austin 3 credits Computer Science

Course Description

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.

Code
C S 388G
Credits
3
Subject
Computer Science

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