English

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.

We are entering a new era where experience is the new economy for consumer attention. The commoditization of products across industries is making it more difficult for companies to compete for market share. The course aims to equip students with the knowledge, tools, and strategic insights to harness the transformative potential of immersive and experiential technologies. Through an in-depth exploration of cutting-edge innovations like spatial computing, 3D design, Agentic AI, and experiential marketing, this course empowers future leaders to create engaging, impactful customer experiences that drive value and innovation. By bridging the gap between emerging technologies and strategic business applications, it will prepare students to lead in the evolving landscape of the experience economy, inspiring creative solutions and fostering a deep understanding of how brands can leverage innovation to captivate and engage their audiences in meaningful ways. Written final exam (40%), 2 group projects (60%).
Prerequistes:  basic knowledge of Corporate Strategy.  Minimum hardware (laptop) requirements for a fully immersive experience in the course (see website).

Phenomenology is a philosophical tradition that began in the 20th century with thinkers like Edmund Husserl, Martin Heidegger, Jean-Paul Sartre, Simone de Beauvoir, and Maurice Merleau-Ponty. It is also a method focused on describing and analyzing conscious experience. In this course, students examine claims about the methodology of phenomenology and explore topics that have been central to phenomenology, which may include perception, time-consciousness, the lived body, moods and intersubjectivity.

This course introduces students to the ethical theories of various 17th & 18th century moral philosophers and explains their significance for modern ethical theory. The course relates their thought to continuing debates about moral rationality, sentiment, moral objectivity, moral virtue, and moral obligation.