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Unit information: Numerical and Simulation Methods for Aerodynamics in 2022/23

Please note: It is possible that the information shown for future academic years may change due to developments in the relevant academic field. Optional unit availability varies depending on both staffing, student choice and timetabling constraints.

Unit name Numerical and Simulation Methods for Aerodynamics
Unit code AENG30018
Credit points 10
Level of study H/6
Teaching block(s) Teaching Block 1 (weeks 1 - 12)
Unit director Professor. Allen
Open unit status Not open
Units you must take before you take this one (pre-requisite units)

EMAT20200 Engineering Mathematics 2

Units you must take alongside this one (co-requisite units)


Units you may not take alongside this one


School/department Department of Aerospace Engineering
Faculty Faculty of Engineering

Unit Information

This unit is an introduction to the fundamental mathematical and physical principles involved in the development and application of modern methods in numerical and simulation methods for aerodynamics. Forms of the governing flow equations are first discussed and these are then reduced to a simple model equation, which is used for the development and testing of fundamental numerical methods. Accuracy, stability and convergence of these schemes are investigated mathematically. Issues involves in applying these methods to real aerodynamic flows are the discussed, i.e. methods required to produce simulation methods, including mesh generation aspects, finite-volume methods, data storage and memory implications, and the impact of continuing developments in computer architecture.


The aim of this unit is to equip the student with:

Knowledge and understanding of the fundamental mathematical and physical principles involved in the development of numerical methods;

Knowledge and understanding of the issues involved in applying modern numerical methods in computational aerodynamics;

Knowledge and understanding of methods of mesh generation and links with numerical code development;

Knowledge and understanding of the impact of developments in computer hardware and software on application of computational methods;

Skills necessary to develop numerical simulation codes.

Your learning on this unit

On successful completion of the unit students should be able to achieve following outcomes:

  1. Derive, analyse, and manipulate key equations and numerical methods
  2. Understand numerical mesh approaches and their implementation
  3. Implement numerical methods in appropriate languages.

How you will learn

Teaching will be delivered through a combination of synchronous and asynchronous sessions, which may include lectures, practical activities supported by drop-in sessions, problem sheets and self-directed exercises.

How you will be assessed

100% January exam


If this unit has a Resource List, you will normally find a link to it in the Blackboard area for the unit. Sometimes there will be a separate link for each weekly topic.

If you are unable to access a list through Blackboard, you can also find it via the Resource Lists homepage. Search for the list by the unit name or code (e.g. AENG30018).

How much time the unit requires
Each credit equates to 10 hours of total student input. For example a 20 credit unit will take you 200 hours of study to complete. Your total learning time is made up of contact time, directed learning tasks, independent learning and assessment activity.

See the Faculty workload statement relating to this unit for more information.

The Board of Examiners will consider all cases where students have failed or not completed the assessments required for credit. The Board considers each student's outcomes across all the units which contribute to each year's programme of study. If you have self-certificated your absence from an assessment, you will normally be required to complete it the next time it runs (this is usually in the next assessment period).
The Board of Examiners will take into account any extenuating circumstances and operates within the Regulations and Code of Practice for Taught Programmes.