Course Schedule and Catalog
Course Schedule - Spring 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 378 001 (CRN: 24627)
MACHINE LEARNING CONCEPTS
Long Title: MACHINE LEARNING: CONCEPTS AND TECHNIQUES
Department: Electrical & Computer Eng.
Instructor: Baraniuk, Richard G
Meeting: 10:50AM - 12:05PM TR (13-JAN-2025 - 25-APR-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: MATH 355 OR MATH 354 OR CAAM 335 OR CMOR 302 OR CAAM 334 OR CMOR 303
Section Max Enrollment: 78
Section Enrolled: 0
Enrollment data as of: 14-NOV-2024 12:00PM
Final Exam: Take-Home Exam
Description: This course deals with machine learning, from its theoretical mathematical foundations to practical implementation in computer algorithms for data science applications. The course follows a deterministic rather than probabilistic approach to focus on the key concepts; linear algebra plays a starring role.