Course Schedule - Fall Semester 2021

     

ELEC 478 002 (CRN: 13475)

INTRO TO MACHINE LEARNING

Long Title: INTRODUCTION TO MACHINE LEARNING
Department: Electrical & Computer Eng.
Instructor: Allen, Genevera I.
Meeting: 2:30PM - 3:45PM TR PCF 4 (23-AUG-2021 - 3-DEC-2021) 
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):
Undergraduate Professional
Visiting Undergraduate
Undergraduate
Prerequisites: (STAT 405 OR CAAM 210 OR COMP 140) AND (CAAM 335 OR MATH 355 OR MATH 354) AND (ELEC 301 OR STAT 315 OR DSCI 301)
Section Max Enrollment: 150
Section Enrolled: 24
Total Cross-list Max Enrollment: 150
Total Cross-list Enrolled: 79
Enrollment data as of: 16-OCT-2021 3:35PM
 
Additional Fees: None
 
Final Exam: Take-Home Exam
 
Description: This course is an advanced introduction to concepts, methods, best practices, and theoretical foundations of machine learning. Topics covered include regression, classification, regularization, kernels, clustering, dimension reduction, decision trees, ensemble learning, and neural networks. Cross-list: ELEC 578. Mutually Exclusive: Cannot register for ELEC 478 if student has credit for DSCI 303/ELEC 578.