Go to Main Content

Brown University



Detailed Course Information


Spring 2017
Feb 27, 2021
Transparent Image
  Select the desired Level or Schedule Type to find available classes for the course.

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

Undergraduate level CSCI 1450 Minimum Grade of S

Return to Previous New Search
Transparent Image
Skip to top of page