English

The course develops students’ understanding of key marketing terminology and conceptual frameworks; provides students with an understanding of the role marketing plays in businesses and not-for-profit organizations and its importance for individuals within a society; provides students with: a) an understanding of buyer behavior and b) a skill to apply this knowledge for building firms’ competitive advantage; develops students’ understanding of how different organizations develop their marketing mix strategies while also paying attention to quality, ethical behavior, and social responsibility; and develops students’ knowledge of marketing tools and procedures used to analyze a variety of business situations.

This course focuses on mobile robotics, emphasizing practical algorithms for navigation, all based around real hardware and tested in the real world. Key elements are: wheeled locomotion, motor control, and motion calibration; outward-looking sensors for behavioral control loops; probabilistic localization using particle filtering; advanced use of sensors for place recognition, occupancy mapping and planning; and an introduction to Simultaneous Localization and Mapping. The course is intensively practical, and all the key methods students learn are tested on robots they build.

This course provides an introduction to the foundations of 3D computer graphics. 

Students learn the basic methods used to define shapes, materials, and lighting when creating computer-generated images for use in film, games, and other applications. Topics include affine and projective transformations, clipping and windowing, visual perception, scene modeling and animation, algorithms for visible surface determination, reflection models, illumination algorithms, and color theory in depth. 

No official prerequisites, but the course assumes some programming experience in C or C++ and a basic knowledge of linear algebra. Exposure to calculus and image processing is useful but not required. 

The course's goal is to enable participants to acquire and process digital images in technical applications in a context-aware manner. The course introduces the basics of digital image processing, the acquisition of images in computing environments, and the extraction of semantic contents from the images. The goal of the course is the exemplary coverage of an interdisciplinary breadth, not necessarily an in-depth treatment of a specific domain. Fundamentals like sensor calibration, feature detection (e.g. edge extraction), matching and classification are taught. Integrated practical exercises cover operating a camera from a single-board computer and using a smartphone camera in a computer vision setting. Furthermore, exemplary machine learning approaches are used for “understanding” the images acquired previously. Software to be developed make use of the OpenCV Python library.

This course explores the dynamic interplay between gender, space, and state policies in Iran, focusing on how women navigate and resist the gendered narratives imposed by the state. By examining both historical and contemporary contexts, the course delves into the ways Iranian women, from various backgrounds and walks of life, have engaged with modernity, anti-modernity, and state-driven agendas. Through a mix of theoretical frameworks and case studies, students gain insights into the strategies used by women to resist and negotiate oppressive structures, with an emphasis on the spatial aspects of their resistance.

Law is often imagined as a mass of written documents containing intricate and arcane language, which is usually manipulated by lawyers and judges. This course expands this imagery by exploring the impact of legal practice, defined as a set of techniques deployed by legal professionals, in relation to our daily life. The course first surveys the historical underpinnings of legal practice, devoting special attention to the study of its Roman and Medieval manifestations. Moreover, it reflects upon the impact of legal professionals and legal techniques in the organization of geographical spaces, group membership, behavior control, and economic production. The course also discusses the tensions between legal pluralism and the centralization of legal authority promoted by the nation-State, as well as introduces the use of legal technique as tools for resistance and change.

In this introductory course, students study the mechanisms of the UK constitution and experience of understanding and applying legal texts, including landmark cases and statutes. They learn about the institutions of legislating and decision-making in the UK, the rule of law, and the judicial protection of the rule of law, alongside a specialist topic reflecting topical current research experience from UCL’s Faculty of Laws, such as environmental law, law and democracy, or social welfare law. This course provides a taster of legal education at university level, which at UCL Laws focuses on how world-leading research and a deeply inclusive law school can support a strong social mission and a set of values centered around the concept of justice: particularly the rule of law, the protection of human rights, and constitutional democracy.

Data science has unlocked exciting possibilities for social scientists through its diverse toolkit, including big data analysis, visualisation, and machine learning models, enabling them to extract valuable insights from their data.  Yet, the success of a data-driven project hinges on data quality. This is where data engineering plays a pivotal role. Professionals must ensure that their acquired data is sufficient and accurate and must be adaptable to handle 'messy data' effectively. A substantial portion of time in data-driven projects (anecdotally 80%) is dedicated to cleaning and pre-processing data, with only 20% said to be devoted to building, evaluating, and deploying machine learning models. Despite the emergence of new AI technologies, which promise to automate many coding tasks, data manipulation is likely to remain an indispensable skill due to the inherent messiness of real-world data. By the end of this course, students will be proficient in producing a website to communicate your collected data and showcase your newly acquired data-wrangling abilities.

Made from the stuff of dreams and nightmares, "the fantastic" in literature poses questions about the nature of reality in a changing world. As science transformed understanding of life in the 18th and 19th centuries, literature placed fears and hopes for the future alongside the oldest beliefs and superstitions, creating a new genre of the fantastic, a modern world of monsters and phantoms where nothing is quite what it seems. This course explores the development of the supernatural and fantastic in European literature from fairytales to science fiction, and examines contemporary resonances, including the enduring appeal of a Hollywood monster and a cult internet meme.

This course offers an introduction to the theory and cases of democracy in crisis, structured across three thematic units. The first unit introduces foundational concepts, exploring definitions of democracy and its crises, as well as theoretical frameworks addressing democracy's vulnerabilities. The second unit focuses on analytical tools and typologies, examining institutional approaches to democracy's collapse, democracy indexes, and comparative frameworks. Finally, the third unit delves into recent and historical case studies of democratic erosion across various regions, fostering a nuanced understanding of global trends. The course combines professor-led lectures, student-driven seminars, and debates, emphasizing critical analysis and active participation. Transversally, the course addresses qualitative and quantitative comparative methodological issues related to democracy.