English

The focus of the course is on Intellectual Property Right (in a global perspective) since they are considered a growing part of the value adding process in companies and at the same time are a more important mean of competition, but also related rights such as rules and regulations of marketing and competition, secrecy, and IT rights. Other issues regarding the commercialization of an invention will be discussed in the course, such as questions regarding license agreements. The course also deals with areas such as IPR-strategies for companies, how to search and utilize the information in patent databases, and how to interpret agreements relating to intellectual property.

The course explores how frameworks, theories, and models from a number of different areas, including cognitive neuropsychology and psycholinguistics, inform clinical assessment and remediation of aphasia. Findings from basic science, neurophysiology, imaging, and speech and language therapy are linked to increase our knowledge of the effects of the rehabilitative interventions at the level of the brain as well as their functional impact. Both emerging and established rehabilitative approaches are highlighted.

This is a highly interdisciplinary course about natural hazards and risk. This course is structured around a series of lectures and discussions aimed at understanding current methods for assessing, communicating, and visualizing risk and reducing disaster for hazards that are natural (e.g. earthquakes, volcanoes, tsunamis, mass wasting, floods, climate and extreme temperatures, multi-hazards) and environmental (e.g. heavy-metal contamination, chemical hazards), and the complex relationship that exists between these hazards and society. It is expected that students are already familiar with the material in the 2nd year Natural Hazards module (5SSG2042).

This course helps students develop rigorous quantitative skills to measure market risks in modern financial institutions. It builds on student’s introductory understanding of probability and statistics and focuses on risk management applications. This course illustrates methodologies using real financial data and a number of computer-based workshops.

This course offers a concise introduction to the legal challenges relating to the international dimension of litigating commercial disputes, both before state courts and in arbitration. London being one of the most important centers for commercial litigation and arbitration in the world, the course focuses on the relevant English and European Union law, invoking experiences from other jurisdictions where useful. 

The course provides an introduction to the rapidly growing field of Geographical Information Systems (GIS) for social science students. Some of the most important theories and practices of GIS, within social sciences are presented. The course also addresses some key conceptual debates and developments in GIS. Practical tasks include exercises in a computer lab environment, and common analytical methods and tools within GIS are introduced. The course makes aware of the potential uses of GIS as well as its application within various fields of study.

This course examines a range of contemporary issues in international politics across a number of areas of economics and politics, which include events that are occurring in contemporary world politics that have significant interests for students and layperson alike.  Students get out into the real world, thinking about the wider meanings of the events that they have witnessed and are witnessing in world politics. Students question what is the relationship between IR (as a body of knowledge) and international politics (as the subject of that knowledge)? Do the IR theories make sense in terms of contemporary developments, do they shift in line with these developments or do they lag behind politics? Whilst issues form the foreground, this question forms the background to the course. 

The course blends theoretical knowledge and practical skills, preparing students to understand and leverage AI technologies in various business contexts. The course begins with an insightful introduction to AI and Machine Learning, providing a solid foundation in AI concepts and terminologies. Discovering the evolution of AI and understanding the core mechanisms that drive machine learning and deep learning technologies provides the foundational knowledge to set the stage for more advanced topics. To dive deep into the realm of AI technologies and their applications in business, the course explores a wide array of AI technologies, including Natural Language Processing, predictive and prescriptive analytics, and demonstrates their practical applications.

This course provides an introduction to programming within the statistical package R. Various computer-intensive statistical algorithms are discussed and their implementation in R is investigated. Topics to include basic commands of R (including plotting graphics); data structures and data manipulation; writing functions and scripts; optimizing functions in R; and programming statistical techniques and interpreting the results (including bootstrap algorithms).