Course Schedule and Catalog
Course Catalog - 2024-2025
COMP 585 - PROB TOOLKIT FOR LEARNING & CO
Long Title: PROBABILISTIC TOOLKIT FOR LEARNING AND COMPUTING
Department: Computer Science
Grade Mode: Standard Letter
Language of Instruction: Taught in English
Course Type: Lecture
Credit Hours: 3
Restrictions:
Must be enrolled in one of the following Level(s):
Graduate
Description: 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. Recommended Prerequisite(s): COMP 382