Course Schedule and Catalog
Course Schedule - Fall Semester 2025
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 478 001 (CRN: 14834)
INTRO TO MACHINE LEARNING
Long Title: INTRODUCTION TO MACHINE LEARNING
Department: Electrical & Computer Eng.
Instructor: Boominathan, Vivek
Meeting: 2:30PM - 3:45PM TR (25-AUG-2025 - 5-DEC-2025)
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 CMOR 220 OR COMP 140 OR DSCI 101) AND (CAAM 334 OR CMOR 303 OR CAAM 335 OR CMOR 302 OR MATH 355 OR MATH 354) AND (ELEC 303 OR DSCI 301 OR STAT 310 OR STAT 311)
Section Max Enrollment: 85
Section Enrolled: 21
Total Cross-list Max Enrollment: 185
Total Cross-list Enrolled: 40
Enrollment data as of: 20-APR-2025 2:18AM
Final Exam: Scheduled Final Exam-OTR Room
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 COMP 540/DSCI 303/ELEC 578/STAT 413/STAT 613.