Course Schedule - Spring Semester 2019

     

ELEC 577 001 (CRN: 26104)

OPTIMIZATION FOR DATA SCIENCE

Long Title: ALGORITHMS AND OPTIMIZATION FOR DATA SCIENCE
Department: Electrical & Computer Eng.
Instructor: Heckel, Reinhard W.
Meeting: 3:00PM - 5:30PM W KWG 100 (7-JAN-2019 - 19-APR-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: 65
Section Enrolled: 28
Enrollment data as of: 8-AUG-2022 11:06AM
 
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.