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DSC 388G

Algorithms: Techniques and Theory

The University of Texas at Austin 3 credits Data Science

Course Description

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. Pre/Corequisites: Graduate standing.

Code
DSC 388G
Credits
3
Subject
Data Science

Programs That Include This Course

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