8588 modules
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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. -
SESA6082 2031-32
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 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 2030-31
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. -
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. -
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.