Course Schedule - Spring Semester 2019

     

COMP 502 001 (CRN: 22532)

NEURAL MACHINE LEARNING I

Long Title: NEURAL MACHINE LEARNING I
Department: Computer Science
Instructor: Merenyi, Erzsebet
Meeting: 2:30PM - 3:45PM TR DCH 1064 (7-JAN-2019 - 19-APR-2019) 
Session: 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
Section Max Enrollment: 40
Section Enrolled: 17
Total Cross-list Max Enrollment: 40
Total Cross-list Enrolled: 28
Enrollment data as of: 27-OCT-2021 5:55AM
 
Additional Fees: None
 
Final Exam: GR Course-Dept Schedules Exam
 
Description: Review of major neural machine learning (Artificial Neural Network) paradigms. Analytical discussion of supervised and unsupervised neural learning algorithms and their relation to information theoretical methods. Practical applications to data analysis such as pattern recognition, clustering, classification, function approximation/regression, non-linear PCA, projection pursuit, independent component analysis, with lots of examples from image and digital processings. Details are posted at www.ece.rice.edu/~erzsebet/ANNcourse.html. Cross-list: STAT 502, ELEC 502. Recommended Prerequisite(s): ELEC 430 and ELEC 431 or equivalent or permission of instructor.