Machine Learning in Political Science, Sociology, and Economics

Catalog description

Technology is quickly changing the way we learn and live, where machine learning and artificial intelligence (A.I.) approaches are becoming dominant tools used to understand big data for social protest events, economic markets, political campaigns, and politicians’ public policy actions. This course introduces students to some of the most popular topics in machine learning. The course teaches students, with no previous knowledge of programming, how to program these techniques and adapt it to their unique research interests. More importantly, it takes a practical approach to applying machine learning to real world situations found in sociology, economics, and political science. In summary, this course explores the application of machine learning (ML) techniques to research questions in political science, sociology, and economics. Students will learn the theory behind machine learning algorithms and gain hands-on experience using R to analyze real-world data.