Economics

This course is an introduction to econometrics, that is, to the statistical methods used to give empirical content to economic relationships. This course has two goals. The first is to provide students with the tools to evaluate econometric analyses critically and logically. The second is to enable them to analyze datasets methodically and comprehensively using econometric methods. The course includes lectures and problem sets, part of which will be conducted using R, a free, open-source software environment for statistical computing and data analysis. Familiarity with R is not expected. Written midterm and final exam (90%), class asignment/group presentation (10%). Prerequisites: familiarity with calculus, introductory statistics and elementary matrix algebra.

The course examines the theory of financial decision-making by investors and examines the behavior of the capital markets in which these decisions are taken. The main topics covered are the theory of capital markets, portfolio theory, equity and bond markets, the capital asset pricing model, efficient markets, and derivative pricing. This course covers the same topics as FM214. Thus, both FM210 and FM214 are equivalent content-wise. However, compared to FM214, this course puts less emphasis on the underlying statistical theory and relies less on the use of mathematical methods. Nonetheless, the course is quantitative in nature, and familiarity with mathematical and statistical methods taught in first-year courses will be assumed.

This course provides a comprehensive framework for analyzing the behavior of the aggregate economy. We examine the long-run determinants of national income, economic growth, and inflation, along with the short-run fluctuations in output and employment. The course consists of two main parts. First, we analyze the economy in the long run, focusing on production, consumption, and the monetary system. We also cover the theories of economic growth. Second, we shift our focus to the short run, developing the IS-LM model and the AD-AS framework to understand business cycles, policy stabilization, and the trade-off between inflation and unemployment.  

Prerequisites ECON201 (Microeconomics), ECON173 (Mathematics for Economics) 

This course provides students with a better understanding of basic consumer buying behavior preparing them to describe, explain, and predict how consumers will behave under various marketing conditions and actions. This course develops an understanding of the underlying mechanisms in order to remain abreast of today's rapid changes in consumers' motives and needs. This course starts from formal theories and concepts and discuss their usefulness in developing effective marketing strategies. Most sessions are organized around the consumer's purchase decision process, consisting of needs arising, information search and processing, brand evaluation and attitude development, purchase, consumption, and post purchase evaluation. Other sessions address specific consumer-specific or environmental variables that affect this decision process.

This course examines AI through the lens of economics and political economy, focusing on how it affects productivity, innovation, labor markets, inequality, regulation, and international competition. It begins with the economic foundations of AI as a general-purpose technology and then turns to the institutional, regulatory, and societal implications. Case studies and current events are used throughout to connect theory with practice. The course includes a mix of lectures, discussions, and applied case analyses. Readings come primarily from recent edited volumes and contemporary research rather than a single textbook. Because of this, weekly preparation and active participation are essential. Assessments emphasize critical thinking and application, through short essays, policy memos, and group projects. This is an undergraduate course designed for students with an introductory background in economics. While basic economic concepts (such as supply and demand) are assumed, they are also reviewed to ensure all students can fully engage with the material. No technical background in computer science is required.

will be added later. 

This course bridges feminist theory, legal studies, and political economy to provide a multidimensional understanding of how gender structures economic and legal systems. It complements existing offerings in political theory, law, and gender studies by integrating critical perspectives on care, welfare, and neoliberalism with emerging debates on digital capitalism and global governance. Drawing on feminist, queer, and postcolonial scholarship, it explores how gender is not merely shaped by legal and economic systems but is fundamentally constitutive of them. The syllabus is designed to be intellectually rigorous yet accessible to undergraduates from diverse disciplinary backgrounds, progressively introducing theoretical frameworks and applying them to concrete economic and policy issues. Indeed, the course investigates how care and reproductive labor sustain markets and states; how institutions of property, finance, and welfare define economic citizenship; and how global processes—including colonialism, migration, and development—reproduce gendered hierarchies. The course also addresses the gendered dynamics of digital capitalism, exploring how contemporary technological infrastructures and platform economies shape labor, value, and power. Through close reading of legal and theoretical texts, class discussions, and media materials, the course connects historical and contemporary debates on work, welfare, sexuality, and governance. It interrogates the ways legal regimes define economic citizenship, moral worth, and bodily autonomy, while also considering feminist strategies for resistance, redistribution, and transformation. By linking feminist thought to law and political economy, the course equips students with conceptual and analytical tools to critically engage with law as both a site of domination and potential social change.

This course provides an introduction to some of the main questions and ideas in development economics. It is designed as a less technical alternative to ECON 118 DEVELOPMENT ECONOMICS. Broadly speaking, the course tries to answer two questions: why are some countries (and within countries, some people) poor, and what can be done about it? It covers conceptual frameworks and empirical evidence. It adopts a micro and a macro perspective and discusses the role of different actors, from households to firms to governments. The course covers a wide range of issues, from communicable diseases to gender inequality to environmental degradation.

This course is designed to provide students with an understanding of how financial technology is reshaping the landscape of wealth management. The course explores key innovations, including robo-advisors, algorithmic trading, artificial intelligence, big data analytics, and the Internet of Things (IoT), and their applications in personal and corporate investing. 

Covid-19 is an infectious disease caused by a type of virus, manifesting itself in individual human beings; but the covid-19 pandemic was not just a health issue, but a social and economic phenomenon. This course explores the economics and politics of the covid-19 pandemic and the policy response (health-related, economic and social) in the UK and other countries. It does not cover specific medical or scientific aspects of covid-19 as a disease, but beyond that discusses a wide range of topics relating both to the direct and indirect impacts of the pandemic on societies and economies across the glob. There is a particular focus on how and why policy decisions were taken; and on the longer-term implications.