8251 modules
Page 173
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MUSI6040 2025-26
Composition Portfolio
The Composition Portfolio is the principal component of the MMus in Composition and represents a year's concentrated work. You will work both individually and in tutorials throughout both semesters to develop and refine your compositional practice. You will be encouraged to increasingly focus on a specific compositional area, which may be defined by a combination of musical idiom, medium, aesthetic issues and technical concerns.
All the pieces submitted in Composition Portfolio are expected to be finished structures and as a whole are expected to demonstrate a range of compositional challenges. In applied compositional practices (film music, video games music, songwriting and musical theatre) these challenges should directly connect to industry realities and standards. Their production (whether in score or other format appropriate to the idiom) should be of professional quality. -
MUSI3161 2028-29
Composition Project
Composition Project is the final stage of the undergraduate pathway in composition. You will draw and build upon skills and experience gained in previous composition and music technology modules to create a portfolio of original work in any musical idiom (e.g. concert music, music to picture or other media, pop, EDM, jazz, musical theatre, etc). You will work with your tutor(s) to research, plan and write/produce the music, which will be submitted along with a substantial written report in which you contextualise and reflect on creative output. The project plan, including the proposed deliveries, are subject to approval by the module coordinator. -
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. -
MUSI3100 2027-28
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.