Course Schedule and Catalog
Course Schedule - Spring Semester 2005
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: 20224)
NEURAL NETWORKS & INFO THEORY
Long Title:
Department: Electrical & Computer Eng.
Instructor: Merenyi, Erzsebet
Meeting: 2:30PM - 3:50PM TR (12-JAN-2005 - 29-APR-2005)
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: 500
Section Enrolled: 1
Total Cross-list Max Enrollment: 500
Total Cross-list Enrolled: 3
Enrollment data as of: 13-MAY-2024 10:15PM
Description: NEURAL NETWORKS AND INFORMATION THEORY I
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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. More at http://www.ece.rice.edu/~erzsebet/ANNcourse.html
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Also offered as COMP 502.
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Prerequisite(s):ELEC 430, 431, or equivalent or consent of instructor.
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Instructor(s): Merenyi Cross-list: COMP 502.