CSCI1550
Probabilistic Methods in Computer Science
Spring 2025
Randomization and probabilistic techniques play an important role in modern computer science, with applications ranging from combinatorial optimization and machine learning to communications networks and secure protocols. This course introduces the most fundamental probabilistic techniques used in computer science applications, in particular in randomized algorithms, probabilistic analysis of algorithms and machine learning.
Prerequisite: Basic background in probability theory course such as CSCI 1450.
| Instructor(s): | |
| Home Page: | http://www.cs.brown.edu/courses/csci1550/ |
| 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: | 45 Full |
| CRN: | 26632 |
