MAE2403 - Aerospace computational mechanics - 2019

6 points, SCA Band 2, 0.125 EFTSL

Undergraduate - Unit

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.



Organisational Unit

Department of Mechanical and Aerospace Engineering

Chief examiner(s)

Professor Chris Davies


Professor Murray Rudman

Not offered in 2019


ENG1060, ENG1091 or MTH1030 or MTH1035 or ENG1005




This unit introduces numerical analysis techniques for interpolation, root finding, integration, the solution of ordinary differential equations, and the analysis of data. The role computers play in the solution of modern aerospace engineering problems is emphasised through exposure to finite difference, finite volume and finite element techniques for partial differential equations, and the implementation of these techniques in commercial fluid dynamics and structural mechanics packages.


  1. Understanding of the role of computers and numerical analysis in modern engineering practice
  2. Appreciation of stability, efficiency and accuracy constraints on available methods for numerical approximation of engineering solutions
  3. Understanding of numerical methods for interpolation, root-finding, integration, solution of ordinary and partial differential equations, and analysis of data.
  4. Knowledge and skills to generate accurate solutions to engineering problems using numerical computing
  5. Solve engineering problems numerically
  6. Determine the appropriate technique to solve a problem through consideration of the accuracy, efficiency and stability of available methods
  7. Improve oral and written communication skills
  8. Appreciation of the role of computers in engineering industry
  9. Confidence in identifying engineering problems and formulating original solutions


Continuous assessment: 40%

Final Examination (2 hours): 60%

Students are required to achieve at least 45% in the total continuous assessment component and at least 45% in the final examination component and an overall mark of 50% to achieve a pass grade in the unit. Students failing to achieve this requirement will be given a maximum of 45% in the unit.

Workload requirements

5 hours per week lecture and laboratory contact hours, 7 hours per week self-study and assignment work

See also Unit timetable information

This unit applies to the following area(s) of study