COMP 485: PROB TOOLKIT FOR LEARNING & CO
Spring 2027 · Section 001 · CRN 26754
Randomness is one of the strongest tools which enables designing efficient algorithms. The applications of randomness in computer science spans machine learning algorithm, cryptography, networks, distributed systems. In this course, we study a variety of probabilistic tools and techniques that allow us to harness the power of randomness and apply it in algorithm design and learning theory. Cross-list: COMP 585. Recommended Prerequisite(s): COMP 382 AND ELEC 303 OR STAT 310 OR STAT 311 OR STAT 312 OR STAT 315 Mutually Exclusive: Cannot register for COMP 485 if student has credit for COMP 585.
- Credits
- 3
- Instructors
- Maryam Aliakbarpour