(Formerly CS254 )

Advanced Probabilistic Methods in Computer Science

Course Home Page:
Location: CIT 368
Meeting Time: K: TTh 2:30-3:50
Exam Group:
Semester: 2 (Spring)
Offered This Year?  Yes
When Offered? Occasionally


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 chain Monte Carlo method, martingales, entropy as a measure for information and randomness, and more. Prerequisite: CSCI1550. Recommended but not required: CSCI1570.

CRN: 25816