Discrete choice modeling is a framework for understanding how individuals (consumers, travelers, voters, etc.) make selections from a finite set of alternatives. Grounded in utility theory, these models help quantify and predict which option a decision-maker is most likely to choose based on attributes of both the alternatives and the decision-maker. By capturing the trade-offs individuals make—such as cost versus quality or convenience versus time—discrete choice models become foundational tools for analyzing and forecasting human behavior within contexts of competing options. This is a hands-on course designed to provide students with practical experience in discrete choice modeling. Students will gain familiarity with foundational tools for discrete choice analysis and learn to estimate discrete choice models using real data. The course emphasizes active learning through guided practice and real-world examples.