United Kingdom - England

This course explores debates around collective intelligence and follow the evolution of the group-mind from past to present and into the future. It looks at how the act of thinking together can go wrong in paranoid conspiracy theories, information bubbles and market panics and how, perhaps, it might be done better.

This course introduces students to social science theories, research, and application related to understanding human behavior in the workplace. This course considers "the people side" of business and management. Topics include personality and performance, managerial decision-making, motivating others, fairness in organizations, the multicultural workplace, power and influence, the adaptive leader, and team leadership.

In this course, students complete a long-term individual project in order to demonstrate independence and originality, to plan and organize a large project over a long period, and to put into practice knowledge, skills, and research methods. Students are able to submit an original proposal, or browse from projects proposed by prospective supervisors.

The course focuses on the structure and dynamics of a variety of networks (e.g., the World Wide Web, online social networks, collaboration networks). It uncovers the network foundations of innovation, information diffusion, cultural fads, financial crises, and viral marketing. Special emphasis is placed on the hub-dominated "scale-free"" networks and the "small-world" networks showing the "six degree of separation" phenomenon. The course combines current research on social networks with contributions from relevant organizational and sociological literature.

This course guides students through the “exciting nightmare” of taking an idea or a technology to market, growing the venture, and securing a successful exit. Although grounded in rigorous theory, the focus of the course is highly practical and class participation is actively encouraged. No prior knowledge of the subject is required but students should be interested in the creation of wealth and the commercialization of technology. 

This course introduces students to the core ideas and fundamental concepts behind machine learning. Students learn different machine learning problems and the algorithms that exist to address them. They formulate machine learning problems and machine learning pipelines, apply suitable algorithms to tackle different machine learning tasks, implement machine learning algorithms to solve supervised learning problems, and assess appropriate methodologies to evaluate machine learning algorithms.

In this course, students learn how to formulate the linear theory of structure formation in the CDM model, obtain solutions in simple model cases of a one component universe; explain the problems of big bang cosmology and the way to solve them in inflationary theory; calculate basic cosmological parameters in inflationary slow roll models; indicate the relations of the Cosmic Microwave Background Radiation and cosmological parameters; and discuss the evidence for an accelerating universe and the possible role of dark energy.

This course explores industrial practices for working on large, existing, software systems. Students discuss how to successfully design, modify, maintain, and operate the large software systems that form so much of the infrastructure of trade, commerce, communication, and entertainment in the modern world. Students also consider current issues faced by the practicing software engineer, and particularly look at engineering trade-offs in different situations and understand that software engineering problems do not always have right and wrong answers.

This course teaches students to consider the challenges posed by climate change, and the technologies and systems that are required to mitigate it. Students are introduced to key mitigation technologies and given the skills to perform basic economic analysis of the options. Lectures cover technoeconomic assessment and emissions estimation methods, possible future technology developments, and approaches to systems thinking, as well as the policy background on climate change. 

This course develops beginner to intermediate Russian language skills in a dynamic and communicative way. The course develops all four language skills (i.e. speaking, listening, reading and writing) through individual and group work, topical discussions, and authentic and web-based multi-media materials. The focus is on accuracy as well as communication that advance students’ language competence, transferable skills, and cultural awareness.