AI and Econometrics credit:

4 Hours

Introduction to AI-assisted data analysis, with the focus being the study of core concepts in AI, machine learning and econometrics, and their application to structured and unstructured data with economic applications. Essential background concepts will be followed by an exploration of popular AI and ML models and how they are used in economics. Students will engage in both analytical problem sets and data exercises. Prerequisite: CS 225 , CS 374 , MATH 241 , MATH 257 , ECON 203 , ECON 302 or their equivalents. Restricted to MS in Economics and Computer Science students, or with permissions of the instructor.