Detailed Course Information |
Fall 2016
Sep 23, 2019 |
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| CSCI 2540 - Advanced Probabilistic Methods in Computer Science |
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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 1550. Recommended but not required: CSCI 1570.
1.000 Credit hours 1.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Primary Meeting Computer Science Department |
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