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.
ECON 434 001 (CRN: 26705)
MACHINE LEARNING FOR COMP ECON
Long Title: MACHINE LEARNING AND ALGORITHMS FOR COMPUTATIONAL ECONOMICS
Department: Economics
Instructor: Coleman, Chase
Meetings:
4:00PM - 6:30PM F (13-JAN-2025 - 25-APR-2025)
7:00PM - 7:50PM W (13-JAN-2025 - 25-APR-2025)
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture/Laboratory
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 4
Course Syllabus:
Course Materials: Rice Campus Store
Restrictions:
Must be enrolled in one of the following Level(s):
Undergraduate Professional
Visiting Undergraduate
Undergraduate
Prerequisites: ECON 419 AND ECON 479
Section Max Enrollment: 30
Section Enrolled: 3
Total Cross-list Max Enrollment: 50
Total Cross-list Enrolled: 9
Enrollment data as of: 15-DEC-2025 5:35PM
Final Exam: Scheduled Final Exam-OTR Room
Final Exam Time:
3-MAY-2025
2:00PM - 5:00PM S
Description: This course will cover supervised learning (both regression and classification) , reinforcement learning, and model selection via validation procedures. The course prepares students to apply a variety of classical and cutting-edge machine learning techniques to problems in economics. Students will be taught principled approaches that adhere to best practices and promote understanding and transparency. Cross-list: ECON 634. Mutually Exclusive: Cannot register for ECON 434 if student has credit for ECON 634.