Course Schedule - Fall Semester 2019

     

COMP 514 001 (CRN: 14060)

ALGORITHMS, COMPLEX. & APPROX

Long Title: OPTIMIZATION: ALGORITHMS, COMPLEXITY, AND APPROXIMATIONS
Department: Computer Science
Instructor: Kyrillidis, Tasos
Meeting: 2:00PM - 4:30PM F HRZ 212 (26-AUG-2019 - 6-DEC-2019) 
Session: 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: 60
Section Enrolled: 29
Total Cross-list Max Enrollment: 100
Total Cross-list Enrolled: 32
Enrollment data as of: 16-OCT-2021 4:24PM
 
Additional Fees: None
 
Final Exam: Scheduled Final Exam-OTR Room
Final Exam Time:
13-DEC-2019  
2:00PM - 5:00PM F HRZ 210
 
Description: The main focus of the course will be on smooth optimization techniques, with applications in machine learning and artificial intelligence. The course will introduce the basics of algorithms on continuous optimization, starting from the classical gradient descent algorithm in convex optimization, towards more sophisticated approaches in non-convex scenarios. The course will explore the fundamental theory, algorithms, complexity and approximations in nonlinear optimization. Cross-list: COMP 414. Mutually Exclusive: Cannot register for COMP 514 if student has credit for COMP 414.