This course provides an advanced introduction to behavioural and experimental economics, with a focus on how individuals and groups actually make decisions under risk, uncertainty, time pressure, and strategic interaction.

Building on standard microeconomic theory, the course examines systematic deviations from expected utility and fully rational models, and introduces alternative behavioural frameworks such as prospect theory, models of time inconsistency, social preferences, bounded rationality, and behavioural game theory. Particular attention is devoted to the empirical foundations of these models and to the experimental methods used to test them.

A strong methodological component trains students in experimental design, causal inference, measurement, and the critical evaluation of behavioural evidence. Students will learn how to formulate testable hypotheses, design laboratory or online experiments, and interpret behavioural data rigorously.

The course is particularly relevant for understanding decision-making in digital environments, policy design, organizational contexts, and AI-mediated systems.