United Kingdom - England

Students explore, expose, and open up conversations around King's College London's historic associations with colonialism and racial injustices. It is open to students of different disciplinary backgrounds. Students do not need to have studied history before; over the course of the course, they learn the skills to become historians (or, at least, historians-in-training).

The world today faces immense challenges. Climate emergency, global inequality, pandemics, racial oppression, migration and mobility crises and conflict are just some of the complex issues that individuals and countries are required to manage. This course is to examine the roles and potential capacity of global, national, and local social movements and civil society organizations in promoting policy change, evaluating their abilities and limitations in constructing meaningful policy solutions.

The course introduces students to the nature and applications of classical and biblical texts and traditions in English literature. The main premises of the course are that writers are also readers, and that among the factors which contribute to a reader's construction of a text is previous experience of other literature; that people have read the same texts in different ways at different times and found different texts more meaningful at some times than others; that since the 1930s, or thereabouts, we have largely lost easy, personal access to a range of expectations and knowledge of classical literatures and the Bible, which were previously shared by many writers and their readers. The course provides opportunities for students to experience at first hand, from selected texts, some of the literary forms, themes, and characteristic sensibilities of ancient Greece, Rome, and Israel, which provide meaningful contexts for English literary texts.

The course covers key statistical methods and data analytic techniques most relevant to finance. Hands-on experience in analyzing financial data in the “R” environment is an essential part of the course. The course includes a selection of the following topics: obtaining financial data, low- and high-frequency financial time series, ARCH-type models for low-frequency volatilities and their simple alternatives, Markowitz portfolio theory and the Capital Asset Pricing Model, concepts and  practices in machine learning as applied in financial forecasting, Value at Risk. The course covers classification techniques using random forests and simple trading strategies if time permits.

The course provides students with a framework for understanding and analyzing the key issues involved in developing marketing strategy and conducting marketing operations on an international scale. At the heart of the course is the tension between standardization and adaptation and implications for the marketing mix.

This course explores the role of Psychology in explaining variation in performance levels in sports and other aspects of physical activity. The course considers how levels of performance, including elite performance, might be influenced by psychological concepts including individual differences (such as in confidence, personality or perception), amount and nature of training or practice, effects of competitive stress, and other factors. The course also describes how techniques based on psychological theories and models may be used in interventions designed to improve performance (including coaching, and techniques such as imagery, arousal regulation, and goal setting). Students are introduced to the evidence base for these interventions, as well as the practicalities and challenges of applying these psychological techniques.

This course is broadly equivalent to A1 Basic User, Breakthrough Level of the Common European Framework of Reference for Languages. 

The principles covered include caching in order to overcome latency; pipelining to increase processor utilization; Multi-Threading and Multi-Core principles, along with potential structures, and challenges such as memory coherency and consistency.

This course addresses a number of topics in computer and network security. Topics include memory errors, Web, network, countermeasures, and pointers to research papers. The course prepares students to identify software vulnerabilities, shows how to address these, and introduces how vulnerabilities are exploited through malware.

Throughout the 18th century, thousands of young British men and women embarked on extensive journeys to continental Europe – an activity known as the Grand Tour.  This course explores who these people were, where they went, and the reasons for their expeditions.  For some, the Tour was the final stage of formal education; to others an opportunity for sexual adventures and pleasure-seeking. The course discusses the practical challenges of 18th-century travel, the political, religious, and cultural contexts of the Tour, as well as the key places to visit and the reasons for their popularity.  It also considers what the Tourists brought back with them: from physical artefacts for public and private collections, to new ways of seeing and understanding the world. The course introduces students to the actual writings of the Tourists, showing how they experienced international travel and shaped the modern tourist industry.