MAE3456 Aerospace computational mechanics
Faculty of Engineering
MAE3456 Aerospace computational mechanics is a level 3, 6-credit-point, undergraduate unit from the Faculty of Engineering, offered in 2022 in Semester 1 at Clayton. It needs (MTH1035, ENG1005 or MTH1030) and (ENG1014 or ENG1060) and unlocks 2 units.
- Credit points
- 6
- Offered in 2022
- Semester 1
- Clayton
- Assessment
- No exam
- 3 tasks
- Workload
- 144 hours
- per semester
The 2027 handbook has no page for MAE3456. This is its 2022 entry, the latest one.
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Requisites
Before MAE3456
Prerequisites
Pass these before you enrol.
Prohibitions
You can't enrol if you have passed any of these.
After MAE3456
2 units list MAE3456 as a prerequisite or corequisite.
Overview
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.
Offerings in 2022
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Clayton | On campus |
Assessment
- Computer-based assignmentsThreshold hurdle40%
- Moodle quizzesThreshold hurdle10%
- Final assessmentThreshold hurdle50%
Learning outcomes
When you finish this unit, you should be able to:
- 1
Apply appropriate mathematical and numerical techniques to solve common engineering problems.
- 2
Construct algorithms and programs that can solve engineering problems by integrating multiple numerical techniques.
- 3
Apply these programs to engineering problems in order to generate solutions.
- 4
Analyse and interpret data using numerical techniques.
- 5
Assess algorithms, programs and solutions for error, stability and accuracy.
Workload and teaching
- Laboratories24 hours
- Workshops36 hours
- Teaching approachProblem-based learning
The minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of 3-6 hours of scheduled learning activities and 6-9 hours of independent study per week. Scheduled activities may include a combination of teacher-directed learning, peer-directed learning and online engagement. Independent study may include associated readings, assessment and preparation for scheduled activities.
The main theory and concepts that form the core of this unit are introduced in a set of short online videos that should be watched prior to class. The ideas in these videos will be consolidated by explaining them in more detail in class and via the application of theory to specific examples and developing algorithms for their implementation. You will develop MATLAB code to implement these methods and solve problems, with particular attention being paid to errors, accuracy and stability.
Learning resources
Required resources
This unit is Bring Your Own Device (BYOD). You will need a device on which the MATLAB software can be installed to undertake the weekly computer tasks. It is possible to use MATLAB on the MOVE platform, but a device is required to access MOVE. Lab tasks will be available on Moodle and submitted via Moodle by the due dates.
Contacts
- Unit Coordinators
- Professor Murray Rudman
- Chief Examiners
- Professor Murray Rudman
Common questions
What are the prerequisites for MAE3456?
You need (MTH1035, ENG1005 or MTH1030) and (ENG1014 or ENG1060) before you enrol.
What can I take after MAE3456?
MAE3456 is a prerequisite or corequisite for 2 units, including MEC4447 and MTE4590.
When is MAE3456 offered?
In 2022, MAE3456 runs in Semester 1 at Clayton.
How much work is MAE3456?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does MAE3456 have an exam?
No. MAE3456 has 3 assessment tasks and no exam.