Course Schedule and Catalog
Course Schedule - Fall Semester 2017
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 602 001 (CRN: 16820)
NEURAL MACHINE LEARNING II
Long Title: NEURAL MACHINE LEARNING AND DATA MINING II
Department: Electrical & Computer Eng.
Instructor: Merenyi, Erzsebet
Meeting: 4:00PM - 5:15PM TR (21-AUG-2017 - 1-DEC-2017)
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
Restrictions:
Must be enrolled in one of the following Level(s):
Graduate
Prerequisites: ELEC 502 OR COMP 502 OR STAT 502 or permission of instructor
Section Max Enrollment: 49
Section Enrolled: 0
Total Cross-list Max Enrollment: 49
Total Cross-list Enrolled: 4
Enrollment data as of: 16-SEP-2024 9:11PM
Final Exam: GR Course-Dept Schedules Exam
Description: Advanced topics in ANN theories, with a focus on learning high-dimensional complex manifolds with neural maps (Self-Organizing Maps, Learning Vector Quantizers and variants). Application to data mining, clustering, classification, dimension reduction, sparse representation. 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: STAT 602, COMP 602. Repeatable for Credit.