Course Catalog - 2024-2025

     

ECON 434 - MACHINE LEARNING FOR COMP ECON

Long Title: MACHINE LEARNING AND ALGORITHMS FOR COMPUTATIONAL ECONOMICS
Department: Economics
Grade Mode: Standard Letter
Language of Instruction: Taught in English
Course Type: Lecture/Laboratory
Credit Hours: 4
Restrictions:
Must be enrolled in one of the following Level(s):
Undergraduate Professional
Visiting Undergraduate
Undergraduate
Prerequisite(s): ECON 419 AND ECON 479
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. Graduate/Undergraduate Equivalency: ECON 634. Mutually Exclusive: Cannot register for ECON 434 if student has credit for ECON 634.