Course Schedule and Catalog
Course Schedule - Fall Semester 2023
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 578 003 (CRN: 16027)
INTRO TO MACHINE LEARNING
Long Title: INTRODUCTION TO MACHINE LEARNING
Department: Electrical & Computer Eng.
Instructor: Allen, Genevera
Meeting: 2:30PM - 3:45PM TR (21-AUG-2023 - 1-DEC-2023)
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
Section Max Enrollment: 150
Section Enrolled: 51
Total Cross-list Max Enrollment: 150
Total Cross-list Enrolled: 82
Enrollment data as of: 7-OCT-2024 8:47AM
Final Exam: GR Course-Dept Schedules Exam
Description: This course is a graduate level 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. Additional work is required for graduate students beyond the undergraduate requirement.
Cross-list: ELEC 478. Recommended Prerequisite(s): Basic statistics and probability, linear algebra, and programming in R or Python are required. Mutually Exclusive: Cannot register for ELEC 578 if student has credit for DSCI 303/ELEC 478.