Course Schedule and Catalog
Course Schedule - Spring Semester 2027
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
COMP 585 001 (CRN: 25951)
PROB TOOLKIT FOR LEARNING & CO
Long Title: PROBABILISTIC TOOLKIT FOR LEARNING AND COMPUTING
Department: Computer Science
Instructor: Aliakbarpour, Maryam
Meeting: 2:30PM - 3:45PM TR (11-JAN-2027 - 23-APR-2027)
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
Restrictions:
Must be enrolled in one of the following Level(s):
Graduate
Section Max Enrollment: 20
Section Enrolled: 0
Total Cross-list Max Enrollment: 30
Total Cross-list Enrolled: 0
Enrollment data as of: 2-NOV-2026 8:32AM
Final Exam: GR Course-Dept Schedules Exam
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. Cross-list: COMP 485. Recommended Prerequisite(s): COMP 382 Mutually Exclusive: Cannot register for COMP 585 if student has credit for COMP 485.