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Brown University

 

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Spring 2017
Sep 16, 2019
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CSCI 2540 - Advanced Probabilistic Methods in Computer Science
Advanced topics in applications of probabilistic methods in design and analysis of algorithms, in particular to randomized algorithms and probabilistic analysis of algorithms. Topics include the Markov chains Monte Carlo method, martingales, entropy as a measure for information and randomness, and more. Prerequisite: CSCI 1450. Recommended but not required: CSCI 1570.
1.000 Credit hours
1.000 Lecture hours

Levels: Graduate, Undergraduate
Schedule Types: Primary Meeting

Computer Science Department

Prerequisites:
Undergraduate level CSCI 1450 Minimum Grade of S

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