Course Schedule and Catalog
Course Schedule - Spring Semester 2013
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.
ELEC 502 001 (CRN: 26765)
NEURAL MACHINE LEARNING I
Long Title: NEURAL NETWORKS AND INFORMATION THEORY I
Department: Electrical & Computer Eng.
Instructor: Merenyi, Erzsebet
Meeting: 2:30PM - 3:45PM TR (7-JAN-2013 - 19-APR-2013)
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Section Max Enrollment: 35
Section Enrolled: 8
Total Cross-list Max Enrollment: 35
Total Cross-list Enrolled: 18
Waitlisted: 0 (Max 297)
Current members of the waitlist have priority for available seats.
Enrollment data as of: 19-APR-2024 3:41AM
Description: Review of major neural machine learning (Artificial Neural Network) paradigms. Analytical discussion of supervised and unsupervised neural learning algorithms and their relation to information theoretical methods. Practical applications to data analysis such as pattern recognition, clustering, classification, function approximation/regression, non-linear PCA, projection pursuit, independent component analysis, with lots of examples from image and digital processings. Details are posted at www.ece.rice.edu/~erzsebet/ANNcourse.html. Cross-list: STAT 502, COMP 502. Recommended Prerequisite(s): ELEC 430 and ELEC 431 or equivalent or permission of instructor.