United Kingdom - England

The course equips students with practical skills in data analysis and visualization techniques essential for extracting actionable insights from complex datasets. Lab sessions and projects help students learn about exploratory data analysis, geospatial visualization, and interactive dashboard development. Students gain skills that are highly valued across a wide set of academic and business fields. 

This course provides an in-depth understanding of how sustainability intersects with consumer engagement and business strategies. It's perfect for anyone intrigued by sustainable business practices, consumer behavior, and their impact on our environment. Throughout the course, delve into key topics such as sustainable consumption, green marketing, circular economy, ethical consumer behavior, and corporate social responsibility. Also explore how digital technology influences and enables sustainable practices. The course uses collaborative activities to stimulate critical discussions around sustainability issues in modern businesses. Analyze an organization's strategy for incorporating sustainability into their consumer engagement initiatives and explore the complexities that arise in the interplay between consumers, businesses, and the environment. Additionally, have the opportunity to participate in business simulations focusing on sustainability, which enhances practical understanding of creating and implementing consumer engagement strategies centered around sustainability. In essence, this course offers a comprehensive exploration of sustainability in the business context, equipping you with the tools to engage consumers effectively and ethically in a world increasingly focused on sustainable practices.

This course provides students with an understanding of the most important challenges that war poses for international order. It draws on ideas from international relations, sociology, political geography, and anthropology to equip students with conceptual and analytical insights to understand the relations between international order and war. Are wars an unavoidable threat to international order? Or are they necessary at times to preserve international order? What have the Cold War, the "war on terror," and the war on poverty in common? How can we understand the relations between war and revolution, war and security, war and human rights, war and risk? What alternatives to war are possible today? How have wars and conflicts been transformed by changes in the international order?

This course provides students with a basic understanding of the key economic issues involved in the emerging market economies. Students learn to analyze the interaction between economic factors and institutional, political, and social factors in the formulation and implementation of economic policies in emerging economies, including transition economies.

The course offers a comprehensive exploration to some of the main areas of music study that students encounter during subsequent years of their study. These include an exploration in music and music history from the Middle Ages to ca. 1780; music and music history from ca. 1780 to the present day; jazz and popular music (broadly defined); ethno-musicological issues, and to music cognition. This course covers ethnomusicology and film music. All students must be able to read music fluently.

The course introduces students to selected topics in the legal application of medical scientific expertise. Students learn about the historical development and application of forensic investigation techniques such as toxicology, psychiatry, crime scene investigation, and DNA profiling, and how they were presented to the public in various media (e.g. detective fiction, newspaper reports, forensic television dramas). Students consider who make claims to forensic truth and what tools and techniques they use to arrive at that conclusion.

This course covers the basic principles of machine reasoning, exploring the foundations of the rapidly developing field of artificial intelligence, and outlining the mathematical techniques used in both knowledge representation and future artificial intelligence courses. Once equipped with the main technical and theoretical tools, students are presented with a selection of different applications of machine reasoning, e.g., natural language processing, machine vision, and robotics, to create a point of contact with real-world examples and future, more advanced AI courses.

This course provides an overview of what has changed (and what has not) in British society and culture since the early nineteenth century. It does not attempt to be comprehensive, but rather uses historical debates to provide a context to questions which remain highly pertinent in Britain today.  Why does Britain, uniquely in Europe, still have a monarchy?  Why is social class still such an important aspect of how the British see themselves? Why have statues of nineteenth-century imperial figures become a source of such violent controversy since the emergence of the BLM? In what ways has ‘Brexit’ revealed Britain’s difficulty to confront its national decline over the last hundred years?  How might movements for racial and social justice in contemporary Britain work within a specific British radical paradigm?  All these questions can only be answered if we address the last two centuries of British history, confronting the longer-term patterns of continuity and change which are still playing out in a nation which struggles to confront both its past and its present. Specific topics covered include: aristocracy and monarchy since 1800; nineteenth and twentieth century movements for social change; advocates and critics of the British empire; explanations for British ‘decline’ in the twentieth century; gender and sexuality, 1800-1914; youth and popular culture since the 1930s.

In this course, students study econometric methods to analyze individual-level data (microdata). The course starts by studying core policy evaluation methods, then covers various extensions, and finally reviews limited dependent variable models. Throughout the course, emphasis is placed on (a) agents’ choice and selection into treatment, and (b) heterogeneities in treatment impact. Related to these keywords, the lectures answer the following questions: What are appropriate econometric techniques to measure policy impact when assignment to the policy (treatment) is not random? What is the econometric framework to measure policy impact when the policy impact is heterogeneous among the individuals?