8212 modules
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MUSI3100 2028-29
Composition Workshop
This module explores contemporary composition techniques and aesthetic issues, to prepare you to write a larger scale work for a workshop with professional musicians. You will explore a range of ways of creating, varying, transforming and organising musical materials from across a range of musical styles. The concepts and techniques explored are intended as springboards for your own creative engagement and technical development.
To prepare you for composing a piece for a professional ensemble, we will explore relevant instrumental and/or vocal repertoire and support you in developing your musical notation skills, including proofreading and editing. Throughout the process, you will receive regular feedback as you work on your medium-scale composition. -
SESA6082 2029-30
Computational Aerodynamics
This module is concerned with the physical modelling and numerical methods required for calculations of aerodynamic forces and moments on moving objects. It is not exclusively a package-based computational fluid dynamics module. Instead, it focuses on matching a numerical solution methodology to the flow phenomena that are present in fluid dynamics applications. The methods will include laminar and turbulent boundary layer calculations, instability analysis and models for transition to turbulence. Finite difference methods will be discussed in detail, including high order and compact schemes with numerical analysis of accuracy, stability and consistency, and compared to spectral methods. Turbulence models will be derived and contrasted with scale-resolving approaches such as large eddy simulations, where post-processing issues will be discussed. The module will include aerodynamic case studies and coursework exercises for students. -
SESA6082 2025-26
Computational Aerodynamics
This module is concerned with the physical modelling and numerical methods required for calculations of aerodynamic forces and moments on moving objects. It is not exclusively a package-based computational fluid dynamics module. Instead, it focuses on matching a numerical solution methodology to the flow phenomena that are present in fluid dynamics applications. The methods will include laminar and turbulent boundary layer calculations, instability analysis and models for transition to turbulence. Finite difference methods will be discussed in detail, including high order and compact schemes with numerical analysis of accuracy, stability and consistency, and compared to spectral methods. Turbulence models will be derived and contrasted with scale-resolving approaches such as large eddy simulations, where post-processing issues will be discussed. The module will include aerodynamic case studies and coursework exercises for students. -
SESA6082 2026-27
Computational Aerodynamics
This module is concerned with the physical modelling and numerical methods required for calculations of aerodynamic forces and moments on moving objects. It is not exclusively a package-based computational fluid dynamics module. Instead, it focuses on matching a numerical solution methodology to the flow phenomena that are present in fluid dynamics applications. The methods will include laminar and turbulent boundary layer calculations, instability analysis and models for transition to turbulence. Finite difference methods will be discussed in detail, including high order and compact schemes with numerical analysis of accuracy, stability and consistency, and compared to spectral methods. Turbulence models will be derived and contrasted with scale-resolving approaches such as large eddy simulations, where post-processing issues will be discussed. The module will include aerodynamic case studies and coursework exercises for students. -
SESA6082 2028-29
Computational Aerodynamics
This module is concerned with the physical modelling and numerical methods required for calculations of aerodynamic forces and moments on moving objects. It is not exclusively a package-based computational fluid dynamics module. Instead, it focuses on matching a numerical solution methodology to the flow phenomena that are present in fluid dynamics applications. The methods will include laminar and turbulent boundary layer calculations, instability analysis and models for transition to turbulence. Finite difference methods will be discussed in detail, including high order and compact schemes with numerical analysis of accuracy, stability and consistency, and compared to spectral methods. Turbulence models will be derived and contrasted with scale-resolving approaches such as large eddy simulations, where post-processing issues will be discussed. The module will include aerodynamic case studies and coursework exercises for students. -
COMP3212 2028-29
Computational Biology
Modern biology poses many challenging problems for the computer scientists. Rapid growth in instrumentation, and our ability to archive and distribute vast amounts of data, has significantly changed the way we attempt to understand cellular function, and the way we seek to treat complex diseases. Data from biology comes in various forms: nucleotide and amino-acid sequences, macromolecular structures, measurements from high-throughput experiments and curated literature in the form of publications and functional annotations. It is nowadays widely acknowledged that computational modelling will play a key role in extracting useful information from vast amounts of such diverse types of data. The computational challenges faced by the human genome project and Alan Turing’s contribution to morphogenesis are classic examples of such roles. -
COMP3212 2029-30
Computational Biology
Modern biology poses many challenging problems for the computer scientists. Rapid growth in instrumentation, and our ability to archive and distribute vast amounts of data, has significantly changed the way we attempt to understand cellular function, and the way we seek to treat complex diseases. Data from biology comes in various forms: nucleotide and amino-acid sequences, macromolecular structures, measurements from high-throughput experiments and curated literature in the form of publications and functional annotations. It is nowadays widely acknowledged that computational modelling will play a key role in extracting useful information from vast amounts of such diverse types of data. The computational challenges faced by the human genome project and Alan Turing’s contribution to morphogenesis are classic examples of such roles. -
COMP3212 2030-31
Computational Biology
Modern biology poses many challenging problems for the computer scientists. Rapid growth in instrumentation, and our ability to archive and distribute vast amounts of data, has significantly changed the way we attempt to understand cellular function, and the way we seek to treat complex diseases. Data from biology comes in various forms: nucleotide and amino-acid sequences, macromolecular structures, measurements from high-throughput experiments and curated literature in the form of publications and functional annotations. It is nowadays widely acknowledged that computational modelling will play a key role in extracting useful information from vast amounts of such diverse types of data. The computational challenges faced by the human genome project and Alan Turing’s contribution to morphogenesis are classic examples of such roles. -
COMP3212 2027-28
Computational Biology
Modern biology poses many challenging problems for the computer scientists. Rapid growth in instrumentation, and our ability to archive and distribute vast amounts of data, has significantly changed the way we attempt to understand cellular function, and the way we seek to treat complex diseases. Data from biology comes in various forms: nucleotide and amino-acid sequences, macromolecular structures, measurements from high-throughput experiments and curated literature in the form of publications and functional annotations. It is nowadays widely acknowledged that computational modelling will play a key role in extracting useful information from vast amounts of such diverse types of data. The computational challenges faced by the human genome project and Alan Turing’s contribution to morphogenesis are classic examples of such roles. -
SOES6025 2028-29
Computational Data Analysis for Ocean and Earth Scientists
The module will present a variety of different types of oceanographic, meteorological, geophysical, and remote sensing data and will explore methods for processing, analysing and modelling using Python.
This module introduces you to the essential skills in computational data analysis, specifically designed for ocean and earth scientists. As we explore a variety of methods for processing, analysing, and modelling data, you'll actively engage with Python, the leading programming language in scientific computing. Topics covered in the module include statistical distributions, correlation, hypothesis testing, regression, model selection, principal component analysis, spectrum analysis, filtering, and advanced signal processing methods. For each topic, we'll provide practical exercises designed to apply these skills to real-world scenarios, including oceanography, meteorology, climate science, geophysics, and remote sensing data, allowing for a deeper understanding how scientists leverage these methods to extract meaningful insights from data.