Course Schedule and Catalog
Course Schedule - Spring Semester 2012
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 NETWORKS &INFO THEORY I
Long Title: NEURAL NETWORKS AND INFORMATION THEORY I
Department: Electrical & Computer Eng.
Instructor: Merenyi, Erzsebet
Meeting: 2:30PM - 3:45PM TR (9-JAN-2012 - 20-APR-2012)
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: 25
Section Enrolled: 6
Total Cross-list Max Enrollment: 25
Total Cross-list Enrolled: 9
Enrollment data as of: 19-APR-2024 3:42AM
Description: Review of major Artificial Neural Network paradigms. Analytical discussion of supervised and unsupervised learning. Emphasis on state-of-the-art Hebbian (biologically most plausible) learning paradigms and their relation to information theoretical methods. Applications to data analysis such as pattern recognition, clustering, classification, blind source separation, non-linear PCA. Cross-list: STAT 502, COMP 502. Recommended Prerequisite(s): ELEC 430 and ELEC 431 or equivalent or permission of instructor.