The Department of Economics is expanding its D3 course offerings with three courses that connect economic analysis to some of today’s most important technological, social and policy issues.
Economics of Artificial Intelligence examines the economics behind technological change and the growing role of artificial intelligence in the economy. Students will explore how AI affects economic growth, productivity, employment, earnings and inequality, as well as the fiscal consequences of AI, barriers to adoption and approaches to regulation.
Python for Data and Analytics II builds on students’ existing Python skills with advanced applications in data analysis. Topics include data modelling, machine learning, complex visualization, and simulation methods. Students will work with real-world datasets and practical analytical tools used in economics and business.
Economics of Crime applies the tools of economics and empirical analysis to crime and the criminal justice system. Topics may include the effects of incarceration, policies designed to deter crime or reduce recidivism, racial disparities in the criminal justice system, and the causes and consequences of domestic violence.
Together, these courses give students new opportunities to apply economic thinking and quantitative methods to rapidly evolving areas of technology, public policy and society.
