Course Schedule - Fall Semester 2004

     

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 602 001 (CRN: 21761)

NEURAL NETWRKS&INFORMATN THRY

Long Title:
Department: Electrical & Computer Eng.
Instructor: Merenyi, Erzsebet
Meeting: 1:00PM - 2:20PM TR (23-AUG-2004 - 15-DEC-2004) 
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: 3
Total Cross-list Max Enrollment: 500
Total Cross-list Enrolled: 3
Enrollment data as of: 15-MAY-2024 3:58AM
 
Additional Fees: None
 
Final Exam: Final Exam Unknown
 
Description: NEURAL NETWORKS AND INFORMATION THEORY II ***** Advanced topics in ANN theories, with a focus on Self-Organizing Maps and unsupervised learning. The course will be a mix of lectures and seminar discussions with active student participation, based on most recent research publications. Students will have access to professional software environment to implement theories. ***** Enrollment is limited to 10. ***** Also offered as COMP 602. ***** Instructor(s): Merenyi Cross-list: COMP 602.