Course Schedule - Fall Semester 2022

     

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 478 002 (CRN: 12733)

INTRO TO MACHINE LEARNING

Long Title: INTRODUCTION TO MACHINE LEARNING
Department: Electrical & Computer Eng.
Instructor: Allen, Genevera
Meeting: 2:30PM - 3:45PM TR (22-AUG-2022 - 2-DEC-2022) 
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):
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: 51
Total Cross-list Max Enrollment: 150
Total Cross-list Enrolled: 95
Enrollment data as of: 19-JUL-2024 11:15AM
 
Additional Fees: None
 
Final Exam: Take-Home Exam
Final Exam Time:
9-DEC-2022  
7:00PM - 10:00PM F
 
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. Recommended Prerequisite(s): (STAT 405 OR CAAM 210 OR COMP 140 OR DSCI 101) AND (CAAM 334 OR CAAM 335 OR MATH 355 OR MATH 354) OR (ELEC 301 OR DSCI 301 OR STAT 310 OR STAT 311) Mutually Exclusive: Cannot register for ELEC 478 if student has credit for DSCI 303/ELEC 578.