Course Schedule and Catalog
Course Schedule - Fall Semester 2018
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 478 002 (CRN: 14024)
INTRO TO MACHINE LEARNING
Long Title: INTRODUCTION TO MACHINE LEARNING
Department: Electrical & Computer Eng.
Instructor: Heckel, Reinhard W.
Meeting: 4:30PM - 5:45PM TW (20-AUG-2018 - 30-NOV-2018)
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)
Section Max Enrollment: 45
Section Enrolled: 21
Total Cross-list Max Enrollment: 98
Total Cross-list Enrolled: 56
Enrollment data as of: 20-APR-2024 8:31AM
Final Exam: Scheduled Final Exam-OTR Room
Final Exam Time:
12-DEC-2018
9:00AM - 12:00PM W
Description: The course provides an introduction to concepts, methods, best practices, and theoretical foundations of machine learning. Topics covered include regression, classification, kernels, clustering, decision trees, ensemble learning, empirical risk minimization and regularization, and learning theory.
Cross-list: ELEC 578. Recommended Prerequisite(s): ELEC 301 and ELEC 475. Mutually Exclusive: Cannot register for ELEC 478 if student has credit for ELEC 578.