8588 modules
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SESA6083 2030-31
Data-Driven Fluid Mechanics
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. -
SESA6083 2026-27
Data-Driven Fluid Mechanics
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. -
SESA6083 2028-29
Data-Driven Fluid Mechanics
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. -
SESA6083 2025-26
Data-Driven Fluid Mechanics
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. -
SESA6083 2031-32
Data-Driven Fluid Mechanics
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. -
SESA6083 2029-30
Data-Driven Fluid Mechanics
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. -
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.