Course Schedule - Fall Semester 2009

     

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: 14612)

NEURAL NETWORKS&INFORMATN THRY

Long Title: NEURAL NETWORKS AND INFORMATION THEORY II
Department: Electrical & Computer Eng.
Instructor: Merenyi, Erzsebet
Meeting: 1:00PM - 2:20PM TR (24-AUG-2009 - 4-DEC-2009) 
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
 
Prerequisites: ELEC 502 OR COMP 502 or permission of instructor
Section Max Enrollment: 20
Section Enrolled: 3
Total Cross-list Max Enrollment: 20
Total Cross-list Enrolled: 3
Enrollment data as of: 24-APR-2024 4:19PM
 
Additional Fees: None
 
Final Exam: Final Exam Unknown
 
Description: 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. Cross-list: COMP 602. Repeatable for Credit.