United Kingdom - England

This course enables students to learn about and engage with engineering in the context of global society and within the engineering industry. Students apply this knowledge to create and plan initiatives, gaining an understanding of being an EDI champion and improving interpersonal skills. This course will provide students with the knowledge and critical understanding of the key issues surrounding equality, diversity and inclusion in engineering, STEM and wider society and to identify and evaluate actionable methods of embedding EDI into engineering education and/or industry

The use of nanotechnology in medicine is an emerging field that can revolutionize the treatment and detection of disease. Through hands-on laboratory sessions, workshops, and lectures by world-leading researchers and active clinicians, this course offers both an insight into these emerging technologies and a fundamental understanding of why size matters and how nanoscale technologies interact with biological environments. Students visit the nanoscale quantum universe, and see how nanoscale objects can be tuned for disease targeting. 

Students study the theoretical and practical aspects of financial markets, and learn how modern financial markets work. Engaging with leading faculty and your peers, students are introduced to modern investment portfolio management strategies covering topics such as diversification, asset allocation, portfolio optimization, the relationship between risk and return, factor models and equity valuation. Students also tackle some of the fundamental issues that arise in investment management, such as market efficiency, behavioral biases of investors, and market liquidity. 

This course covers a range of substantive topics and issues, such as the conflict between Israel and the Palestinians and Arab-Israeli relations; the influence of non-state actors such as Hamas and Hezbollah; regional balances between Saudi Arabia and Iran; and the 7 October 2023 war and its regional consequences. Students dive deeply into domestic political developments, including those that have emerged in the decade since the "Arab Uprising”. More broadly, the course places the region at the intersection of global and local politics, examining the roles played by the United States, Russia, and Europe.

This course enables students to understand one of the core purposes of finance: the setting of prices in a market. The first half of the course works at a market-level, dealing with risk-management and diversification. The second half of the course works at the security-level, thinking about bond, stock, and derivative valuation.

This course provides some intellectual pathways from GY100. Human Geography is a broad subject and there may be changes in the particular topics from year to year. Topics to be discussed include Imperialism, East and West; contemporary geopolitics; concepts of “home” and Patriarchy; material aspects of globalization such as containerization and shipping; non-economic aspects of agglomeration in cities;  biopolitics and the geography of disease and viruses; the geography of affect or feelings; soundscapes and music.

The course provides an introduction to tax policy that links real-world debates about the tax system with ideas from a range of academic disciplines, including political theory, economics, and sociology, as well as law. It addresses real-world debates about tax policy as they appear in the media and in politics, but to do so in an academically rigorous way. The course adopts an interdisciplinary approach that draws on ideas from across the social sciences to address two main questions: why do we have the tax policies we have, and how can our current tax system be improved? The main examples will be taken from the UK and US contexts, but the insights generated are truly global.

This course explores how machine learning addresses the problem of how computers can learn and extract information automatically from data. It further explores the methods used in artificial intelligence, data mining, and adaptive system design. Students learn how machine learning is used in most disciplines where data is available, including, e.g., electrical engineering, computer science, or medicine. The course introduces students to the theory and practice of modern machine learning methods.

This course presents students with a comprehensive introduction to advanced topics in Linear Algebra as needed in the more advanced literature on Signals, Signal Processing, Systems and Control. The emphasis is on fundamental notions related to vector spaces, inner product spaces, normed spaces, matrix algebras, and computations with matrices.

In this course, students learn to engage with information visually. They learn to recognize and critique oversimplifying, biased, or misleading forms of visual representation, and to create their own visualizations to explore and communicate data that matters to them. Using examples from a wide range of academic disciplines - from economics, to literature, meteorology, history, urban design, or computer science - students discover key principles of visual thinking and communication and learn how to create their own charts and maps. Historically, data visualization has often been used to discriminate, control, and police. In this course, students also explore interventions by critical data scientists, scholars, and activists who visualize data to expose injustice, challenge unfair classification systems, and speak truth to power. The course does not involve any coding and does not require previous technical knowledge.