8251 modules
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COMP6267 2029-30
Database Theory
This module will cover foundational concepts in data management. It will study classic database theory, as well as new areas of research. The first part of the class will focus on query languages and their complexity, while the second part will focus more on advanced topics in data management, such as incomplete information, provenance, privacy, data dependencies, and others.
Topics we will include query languages, query containment, query complexity, worst-case optimal algorithms, datalog semantics, evaluation, and optimisation techniques. Bag Semantics and its relation to Diophantine inequalities. Database dependencies and reasoning with data. -
ARCH1047 2025-26
Debates and Issues in Archaeological Science
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. -
ARCH1047 2026-27
Debates and Issues in Archaeological Science
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. -
MANG6312 2025-26
Decision Making and Analysis in Projects
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. -
ENGL2107 2026-27
Decolonising Modernity
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. -
ENGL2107 2027-28
Decolonising Modernity
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. -
AICE6003 2026-27
Deep Learning Research
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. -
COMP6252 2026-27
Deep Learning Technologies
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. -
COMP6252 2025-26
Deep Learning Technologies
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. -
COMP6252 2028-29
Deep Learning Technologies
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.