Course Schedule - Fall Semester 2017

     

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.

ELEC 577 001 (CRN: 17441)

OPTIMIZATION FOR DATA SCIENCE

Long Title: ALGORITHMS AND OPTIMIZATION FOR DATA SCIENCE
Department: Electrical & Computer Eng.
Instructor: Heckel, Reinhard W.
Meeting: 2:30PM - 3:45PM TR (21-AUG-2017 - 1-DEC-2017) 
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: 49
Section Enrolled: 23
Enrollment data as of: 21-JUN-2024 4:47PM
 
Additional Fees: None
 
Final Exam: GR Course-Dept Schedules Exam
 
Description: In this course, we study algorithms for analyzing data with provable performance, statistical, and computational guarantees. We focus on applications in machine learning and signal processing. Topics include: efficient algorithms for convex optimization, inverse problem, low-rank and sparse models, dimensionality reduction, and randomized algorithms. Recommended Prerequisite(s): MATH 355 and (ECON 307 or STAT 310) or digital circuit courses.