Course Schedule and Catalog
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.
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.
COMP 602 001 (CRN: 14878)
NEURAL NETWORKS&INFORMATN THRY
Long Title: NEURAL NETWORKS AND INFORMATION THEORY II
Department: Computer Science
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: 0
Total Cross-list Max Enrollment: 20
Total Cross-list Enrolled: 3
Enrollment data as of: 2-MAY-2024 1:15AM
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: ELEC 602. Repeatable for Credit.