Course Schedule - Fall Semester 2017

     

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 KWG 100 (21-AUG-2017 - 1-DEC-2017) 
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: 49
Section Enrolled: 23
Enrollment data as of: 30-NOV-2022 8:58AM
 
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.