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DSC 388G

Algorithms: Techniques and Theory

3 Hours

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.

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