ADVANCES IN ARTIFICIAL INTELLIGENCE FOR ECONOMISTS
Introduction to the basic concepts of artificial intelligence and its use in economics. Covers general principles and specific economic applications. Discusses implementing these approaches using economic data.
Prerequisites & course information
Requisites: ECON 725 Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Explain basic Artificial Intelligence methods and how they are commonly applied to economic data Audience: Graduate 2. Classify differences and similarities between econometrics and AI methods Audience: Graduate 3. Evaluate advantages and disadvantages of different econometrics and AI methods Audience: Graduate 4. Apply AI tools and methods to economic data Audience: Graduate Learning Outcomes: 1. Explain basic Artificial Intelligence methods and how they are commonly applied to economic data Audience: Graduate 2. Classify differences and similarities between econometrics and AI methods Audience: Graduate 3. Evaluate advantages and disadvantages of different econometrics and AI methods Audience: Graduate 4. Apply AI tools and methods to economic data Audience: Graduate
Sources
- Course catalogue ↗2026-2027