CSCI2540
Advanced Probabilistic Methods in Computer Science
Spring 2025
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.
| Instructor(s): | |
| Meets: | TTh 2:30pm-3:50pm in CIT Center (Thomas Watson CIT) 477 |
| Exam: | If an exam is scheduled for the final exam period, it will be held: |
| Max Seats: | 24 |
| CRN: | 26667 |
