An entry-level course in economics. It complements standard economic analysis with interdisciplinary perspectives from philosophy and political science. By exploring the economic approach to the analysis of social phenomena alongside insights from related disciplines, students will gain a nuanced understanding of markets, institutions, and public policy. 

The course stresses the perspective of microeconomics and covers fundamental concepts such as scarcity, choice, supply and demand, market structures, externalities, and public goods, while also engaging with questions of efficiency, equity, and justice. The goal is to equip students with the tools and frameworks to analyze economic issues comprehensively, recognizing the complex interplay between economic, philosophical, and political dimensions.

Building upon the foundation of Principles Economics I, this course focuses on the macro-level social phenomena. Accordingly, it develops a macroeconomic perspective embedded within an interdisciplinary framework that contains insights from philosophy and political science. 

The students will deepen their understanding of the political economy, exploring the fundamental questions of economic growth and development. The course covers the concepts such as national income accounting, economic indicators, fiscal and monetary policies, and international trade, while also engaging with questions of measurement, institutions, and globalization. 

By the end of the course, students should be able to critically examine macroeconomic issues, appreciating how economic factors intertwine with philosophical and political considerations to shape social reality.

This course introduces students to the fundamental principles of economic reasoning and problem-solving, with a special emphasis on statistical and probabilistic thinking. Complementing the content covered in the Principles of Political Economy sequence, we will explore rationalist approaches to decision-making, strategic interactions, and complex social phenomena.

Students will develop critical thinking and analytical skills needed to apply economic concepts to real-world issues, while also gaining a deeper understanding of how statistical and probabilistic reasoning can inform economic analysis. The course covers topics such as game theory, Bayesian reasoning, and mechanism design, while also recognizing the bounds of human rationality.

By emphasizing statistical and probabilistic reasoning alongside traditional economic concepts, this course aims to equip students with a toolkit for tackling complex problems and making sound judgments in the face of uncertainty, while also fostering an appreciation for the interdisciplinary nature of modern economic thinking.

This course examines the interplay between individual behavior, political institutions, and public policy. By integrating insights from behavioral economics, social psychology, and political science, students will gain a nuanced understanding of how psychological factors shape economic and political outcomes in modern societies.

The course explores fundamental concepts such as bounded rationality, heuristics, cognitive biases, and social preferences, examining their implications for political decision-making processes. Students will analyze how these behavioral factors influence both voters and policymakers, critically assessing their impact on democratic institutions, market mechanisms, and policy effectiveness. Key topics include the behavioral foundations of political polarization, the economics of misinformation in the digital age, nudge theory and libertarian paternalism, and the promises and pitfalls of behaviorally informed governance.

By the end of the course, students should be able to apply behavioral insights to analyze socio-economic issues, evaluate the design and implementation of public policies, and critically examine the ethical implications of behaviorally informed interventions.

This interdisciplinary course examines the rapidly evolving field of generative artificial intelligence (AI) through philosophical, political, and practical lenses. By integrating insights from philosophy, political science, and economics, students will gain a comprehensive understanding of how generative AI technologies are reshaping our social, economic, and political landscapes. The course also engages with questions of ethics, governance, and economic impact.

Students will explore the philosophical implications of AI consciousness, analyze policy challenges in AI regulation, and gain hands-on experience with the frontier AI models.

By the end of the course, students should be able to critically assess the opportunities and challenges presented by generative AI, developing informed perspectives on its future trajectories and societal implications. This approach will equip students with the knowledge and analytical skills necessary to navigate the complex intersections of technology, society, and policy in an AI-driven world.