Data organise our present and shape our future. Those data are never neutral because they are the product of human labour, of choices made by people about what data to record, how to record it, and who is best equipped to do that recording. Drawing on work from intersectional feminism, anti-colonial theory, and infrastructure studies, this module takes a justice-led approach to data as both products and producers of culture. It examines the ways that the datafication of culture has produced predictive systems that police us, structures that define us, and products that simulate us. It explores the connections between historical forms of data production and present day inequities. It discusses the value, purpose, and variety of justice-led approaches to analysing data and culture. And it considers how we might creatively resist, reimagine, and remake the relationship between data, culture, and social justice. No technical or theoretical knowledge is required to take this module. It is open to all, whether you want to develop a justice-led approach to thinking about the intersections of data and culture, or you want to work with data to apply justice-led thinking to your analysis of culture.
The module will introduce contemporary computational methods for fluid flow analysis, with a specific focus on techniques that use simulation or experimental data. The module will cover aspects of flow stability, model order reduction and pattern identification, as well as data-assimilation techniques and machine learning for system identification. Through a blend of lectures and hands-on laboratory sessions, the module will provide students with the practical knowledge required to implement and apply these methods, together with a solid understanding of fundamental fluid mechanics and mathematical concepts underpinning their use.
The application of scientific techniques is increasingly embedded in archaeological studies and is an area where the UK currently leads the world. Techniques such as dating methods, the use of isotopes to reconstruct past diet or human migrations and the sequencing of ancient DNA are responsible for many major recent breakthroughs in our understanding of the past. But rather than teach students to produce scientific data, or bog them down with scientific equations, this module aims to give the students the skills required to be consumers of archaeological science. They will become familiar with the scientific literature and learn to cast a critical eye over scientific data; interpret it for themselves and engage in the archaeological debates arising from the science.
Decision making and analysis are among the most critical skills of successful project managers throughout their career. Significance of these skills and the outcome of decisions in a project’s success or failure have been emphasised in theory and highly appreciated in practice of project management. This module introduces the characteristics of decisions and decision making in project environments. Different theoretical and practical approaches, styles and methods of making and analysing project decisions will be discussed and practiced throughout the module.
Literary history is often told in epochs. In particular, it can be useful to understand the world in relation to some or other idea of “modernity”: for example, English literary studies is often organised through conceptions of the early modern, the modern, and the post-modern. But many influential constructions of modernity assume and promote Eurocentric ideas of progress, development, and history. This module invites you to interrogate these ideas. The module begins with work that reveals the cultures of violence and inequity that are instituted by imperialist constructions of modernity and civilisation. You will then learn to work with debates that have been conducted through formulations of ‘postcolonial studies’, ‘subaltern studies’, ‘diaspora studies’, ‘world systems’, ‘history wars’, ‘world literature’ and ‘decolonisation’. Across the module, you will explore fictions of various genres from Africa, the Americas, Australia and other parts of the world, and you will consider the importance of literature to debates about race, law, identity, belonging, political and economic geography, and citizenship.
Deep learning has revolutionised numerous fields in recent years. We've witnessed improvements in everything from computer vision through speech analysis to natural language processing. This module focuses on the latest advances in deep learning and will allow you to start to understand, implement, and critically appraise recently published research, as well as give you some of the wider context of research in the field. As part of this module, you will have the opportunity to extend on the latest research, contributing with your own ideas, critical thinking, and experimental design skills. Due to the active and effervescent nature of the field, deep learning almost equates to research. Our objective is to equip you with the knowledge and skills required to engage with research as it emerges -- to be able to distinguish high-quality work that will change the course of the field from simple buzz. In this process, we will teach you how to build your own scientifically sound experiments and how to identify contributions you can make that would be valuable for the deep learning community.
Deep learning has revolutionised numerous fields in recent years. We've witnessed improvements in everything from computer vision through speech analysis to natural language processing as a result of the advent of massively parallel compute coupled with large datasets. This module explores how deep learning can be applied to real world data by implementing models through combinations of pre-built building blocks.
This module examines the patterns of life in deep-sea environments & the processes that govern those patterns.
In today’s era of “big data”, business analytics has become a key part of management decision making. Modern managers must now develop a deeper understanding of the use and value of big data and of the various analytical tools which are available to make sense of it. This module provides a deeper insight into the use of analytics with big data in a business environment; and, critically, how it can be used to inform strategic decision-making in organisations.
This module offers students the chance to apply the skills and knowledge acquired during the program in the development of a final practice-led research project. The module places a significant emphasis on self-initiation, as students independently refine their design proposals, establish connections with external sources, and advance their ideas. The instructional focus is on project supervision sessions, where each student is assigned a Tutor to provide guidance and support throughout the project. Emphasizing progressive independence, a rigorous approach to design research, and a thorough exploration of key contemporary issues in the discipline, this module provides a unique opportunity for students to construct a portfolio that reflects the professional or academic context they aspire to engage with post-graduation.
In this module you will develop an understanding of the England and Wales criminal justice system, with a particular focus on its philosophies, institutional practices and processes and outcomes. You will gain an understanding of how the criminal justice system attempts to uphold the rule of law, deter criminal behaviour, promote law abiding behaviour and sanction those who violate laws through criminal penalties. Consideration will also be given to due process protections against abuse of policing and prosecution powers.
Most states claim to be democratic. This module looks at the theory of democracy, including foundational questions about political inclusion, participation, and equality. As a result, students will develop a greater understanding of what democracy requires and why we might value it, an understanding that will enable them to reflect critically on claims about democracy.
