Course Schedule and Catalog
Course Schedule - Fall Semester 2007
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: 12536)
NEURAL NETWORKS&INFORMATN THRY
Long Title: NEURAL NETWORKS AND INFORMATION THEORY II
Department: Computer Science
Part of Term: Full Term
Grade Mode: Satisfactory/Unsatisfactory
Course Type: Lecture
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Prerequisites: COMP 502 OR ELEC 502
Section Max Enrollment: 0 (permission required)
Section Enrolled: 0
Enrollment data as of: 13-MAY-2024 7:55PM
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. Repeatable for Credit.