University College London

This course provides a fundamental overview of mathematical finance. It begins with an overview of financial contracts, interest rates, and the value of money. Specifically, it discusses what constitutes a fair price for a contract and explains why fair prices are rarely used in everyday transactions. After that, students investigate financial markets in a discrete-time setting, with the help of some revision on basic probability theory. The concept of risk-neutral asset pricing is discussed with reference to pricing stocks and options in the exchange. The last part of the course introduces the fundamental concepts of stochastic calculus and concentrates on continuous time finance with the widely used Black-Scholes model. The goal of this course is to provide students with a broad understanding of the application to finance theory, while setting a solid theoretical foundation to the field. 

This course develops awareness of the complex relationship between spoken language and society through discussion of existing literature and through experience of experimental paradigms used to study spoken language variation. It focuses on the study of phonetic aspects of accent variation and change and so it is assumed that students are familiar with basic concepts in phonetics and phonology.  

The course provides an overview of the relationships between computing systems and human beings, from a technological perspective. The first weeks introduce the main theoretical and technical concepts of human-computer interaction (HCI), such as cognitive aspects of visual design, interaction design, persuasion, and user experience. The students analyze the risks and possibilities associated to computing interfaces, wearable technologies, and data visualization. The second part of the course focuses on AI and algorithms, with a broad introduction to the main techniques and challenges involved, e.g., machine learning and data science. In this part as well, once equipped with the basic conceptual tools, students focus on the ethical challenges of modern AI systems, with a discussion on the concepts of accountability and trust?

This course provides a largely non-technical introduction to the basic concepts and methods used by economists to understand and explain the features of the world economy today. Students explore globalization of trade and finance; the emergence of global value chains and the rise of China and India; and the winners and losers of globalization within rich and developing economies.

This course is about the analysis of data within economics, and the interpretation of empirical results. The course provides an introduction to the application of economic theory to data; develops an understanding of simple and commonly used econometric techniques; imparts an ability to understand and interpret results both statistically and economically; and introduces students to widely used software in applied economics (STATA).

This course introduces students to the principles of health professions education and its application to practice. It guides students through learning about key theories in health professions education and they gain key skills needed to effectively teach in formal and informal environments. The course explores the use of feedback in teaching and learning and peer-assisted learning. It focuses on reviewing educational research and how this can inform clinical practice as well as explore the design and delivery of assessment. The course focuses on putting the knowledge and skills learned into practice through teaching peers, colleagues, patients, and future generations.

Students develop skills in data analysis, structuring decisions, building decision models, risk assessment, decision making under uncertainty, recognizing areas where business analysis can add value, selecting appropriate types of analyses and learn to apply them in a small scale, and quick-turnaround fashion. This is a practical course, which uses state-of-the-art decision support software to illustrate how to apply the methodologies introduced. Therefore, the course consists of a mixture of lectures and computer workshops. The software used in the lectures and workshops is Microsoft Excel, with add-ins @Risk for simulation, PrecisionTree for decision analysis, and Solver for optimization. 

This course is a challenging introductory course and is specifically for non-History of Art students. The specific content changes each year, but the course introduces students to various themes and issues in architectural practice and patronage from the medieval period to the present day, focusing on buildings and sites in London such as Westminster Abbey, St Paul's Cathedral, Chiswick House, the South Bank Centre, the Barbican, and Canary Wharf.

This course investigates central questions of recent ethical theory. Topics include the nature of the good, the badness of death, utilitarian accounts of right and wrong action, virtue (esp. justice and benevolence), equality, partiality and impartiality, responsibility and moral luck.

This course begins with exploring how digital technologies have proliferated every aspect of our daily lives, around work, travel, leisure, consumption, production, and reproduction, in ways that are simultaneously virtual and material. This focuses on how digital technologies, infrastructures, devices, logics, and methods are blurring the divides across analog and digital spaces. It then looks at how digital technologies can simultaneously break down and reinforce inequalities along class, race, gender, sexuality through new "digital divides." Finally, it examines the implications this has for producing new forms of digital citizenships and claims to social and spatial justice.