English

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 interdisciplinary course increases students’ vocabulary in the areas of business, tourism and law. Students analyze academic tests such as research reports, textbook chapters, and academic articles in the fields of business, tourism, and law. They also complete language tasks that are linked to the industry, such as reading and understanding the language of various types of contracts; reading and understanding the structure and content of annual reports and other company reports; analyzing the language of tourism products and services; and knowing how to interpret and use surveys and statistics published by official bodies.

This course provides students with a foundational understanding of globalization, focusing on its challenges and opportunities in the context of China’s rise. The course is structured in three parts: Theoretical Foundations: The course begins by exploring classic political economy theories of globalization; Geopolitical Challenges: The course then examines how geopolitics and China’s rise challenge and reshape these traditional frameworks; Applied Analysis: Finally, students apply these analytical tools to real-world topics, including industrial policies, foreign direct investment (FDI), economic sanctions, and the green transition.

This course examines how marketing can drive social change and sustainability, extending beyond commercial objectives to tackle societal, ethical, and environmental challenges. Topics explored include sustainable marketing and consumer behavior, corporate social responsibility and ethics, and social marketing and behavior change strategies, in order to develop sustainability and social impact competencies, addressing the green skills gap, and evaluating the impact of social marketing interventions. The course focuses on these themes to understand their implications for consumer behavior, business practices, and society at large.

This course gives students an understanding of the nature and causes of cancer from a genetic, cellular, and molecular perspective. Students gain a thorough grounding in cancer cell biology, and they also develop employability skills such as working in a team, presentation skills, and interpretation of experimental datasets.

Combining theory and practice of international relations, this course is designed to provide a solid understanding of the trajectory of both conceptualizations and policies on sovereignty in the global stage. The variety of classes focus on multiple aspects of strategic diplomacy in the global commons - outer space, air space, cyber space, maritime space and polar space - to understand expressions of sovereignty outside of territories under national jurisdiction, a topic of crucial importance for the coming century. As this course breaks barriers between academia and practice, students are equally trained to write argumentative essays (French academic exercise of dissertation) and research papers as well as policy papers, while being introduced to the art of diplomatic negotiation.

In this course, students get an introduction to common methods of theoretical physics. The course focuses on classical mechanics while including relativity and some electrodynamics, including covariant formulation. Students are introduced to and apply mathematical concepts such as Lagrangians, least-action principle, four-vectors, and tensors.

Machine learning tools are widely used across various aspects of contemporary society. A solid understanding of the foundations that support these tools is essential for developing new methods and assessing existing ones. This course introduces the mathematical and statistical theory behind modern machine learning methods. The course explores the why and how of machine learning methods from a theoretical perspective considering generalization, regularization, and optimization. Key techniques including kernel-based methods, tree-based methods, and neural networks are discussed, along with recent developments.

English Lit and Pop Music? Yes! This course reads a variety of English literature, produced from the Middle Ages up through last week, in light of popular music of the last fifty years—and vice versa, too. The course takes both fields seriously (though fun is encouraged too), with an emphasis on connections with King's College London. A variety of genres, eras, and voices, from English lit, the English department, and the music world come together here. Archival work, both at KCL (e.g., the Duffy archives) and beyond, provides an important foundation and opportunities for discovery.  

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.