8546 modules
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SESA1016 2026-27
Thermofluids for Aerospace Engineers
This module provides a foundational understanding of thermodynamics and fluid mechanics to Aeronautics and Astronautics Engineering students, placing significant emphasis on the critical application of these principles to aerospace systems. It equips students with the requisite knowledge and tools essential for subsequent modules encompassing aircraft and space propulsion, aerodynamics and high-speed gas dynamics.
In the thermodynamics section, students delve into the laws of thermodynamics in the context of aerospace applications, learning how these principles underpin the design of aerospace systems. The fluid mechanics section provides a comprehensive perspective of fluid properties, flow regimes, and conservation laws, with an emphasis on applying these concepts to the analysis of aerospace components and systems. -
ARCH1075 2025-26
Thinking Through Things: the archaeology and anthropology of material worlds
Being human involves an inseparable relationship with things, both made and found. People make things, as things make people, and to envisage a human being who is not in some way formed by the objects they use, wear, live in, venerate or trust in is inconceivable. In this module we explore approaches to the archaeology and anthropology of things/objects/artefacts/material culture. Alongside the methods and theories employed to interrogate and make sense of material culture, we look at how objects provide a key source of evidence for understanding aspects of the human past, including technology, identity, exchange, subsistence practices, power relations and interventions into supernatural worlds. Complementing archaeological approaches, the module offers an introduction to ethnographic studies of people and their material worlds from pre-Contact contexts to modern Britain, highlighting the complex and entangled nature of human-thing relations. -
ARCH1075 2026-27
Thinking Through Things: The Archaeology And Anthropology Of Material Worlds
Being human involves an inseparable relationship with things, both made and found. People make things, as things make people, and to envisage a human being who is not in some way formed by the objects they use, wear, live in, venerate or trust in is inconceivable. In this module we explore approaches to the archaeology and anthropology of things/objects/artefacts/material culture. Alongside the methods and theories employed to interrogate and make sense of material culture, we look at how objects provide a key source of evidence for understanding aspects of the human past, including technology, identity, exchange, subsistence practices, power relations and interventions into supernatural worlds. Complementing archaeological approaches, the module offers an introduction to ethnographic studies of people and their material worlds from pre-Contact contexts to modern Britain, highlighting the complex and entangled nature of human-thing relations. -
STAT6150 2026-27
Time Series Analysis
This module will provide an introduction to time series models in common use and their use for predicting future observations and/or estimating unobservable components like trend and seasonal effects. -
ECON6087 2025-26
Time Series Econometrics
This module explores the properties of a wide range of models and statistical techniques used to describe and analyse Economic and Financial time series data. The aim is to highlight the usefulness of theoretical time series techniques for understanding data patterns and explore dynamic causal linkages. -
ECON6087 2026-27
Time Series Econometrics
This module explores the properties of a wide range of models and statistical techniques used to describe and analyse Economic and Financial time series data. The aim is to highlight the usefulness of theoretical time series techniques for understanding data patterns and explore dynamic causal linkages. -
ECON6087 2029-30
Time Series Econometrics
This module explores the properties of a wide range of models and statistical techniques used to describe and analyse Economic and Financial time series data. The aim is to highlight the usefulness of theoretical time series techniques for understanding data patterns and explore dynamic causal linkages. -
ECON6087 2028-29
Time Series Econometrics
This module explores the properties of a wide range of models and statistical techniques used to describe and analyse Economic and Financial time series data. The aim is to highlight the usefulness of theoretical time series techniques for understanding data patterns and explore dynamic causal linkages. -
COMP6233 2025-26
Topics in Computer Science
Computer science is now a mature discipline, with a well defined curriculum, for example from the ACM/IEEE joint task force, or the UK's Quality Assurance Agency. Any student of computer science should be familiar with a range of topics such as computability, algorithms, computational complexity, computer design, programming language design, programming methodology, data structures, information retrieval, parallel and distributed computing, computer networks, cyber security and artificial intelligence. In addition, computing students should be aware of the effects their field has had, and will continue to have, on individuals, organisations, and society. This module gives an opportunity to review the breadth of computer science, to focus on some key ideas, and to reflect on its wider impact. -
COMP6233 2026-27
Topics in Computer Science
Computer science is now a mature discipline, with a well defined curriculum, for example from the ACM/IEEE joint task force, or the UK's Quality Assurance Agency. Any student of computer science should be familiar with a range of topics such as computability, algorithms, computational complexity, computer design, programming language design, programming methodology, data structures, information retrieval, parallel and distributed computing, computer networks, cyber security and artificial intelligence. In addition, computing students should be aware of the effects their field has had, and will continue to have, on individuals, organisations, and society. This module gives an opportunity to review the breadth of computer science, to focus on some key ideas, and to reflect on its wider impact.