MEC2456 Engineering computational analysis
Faculty of Engineering
MEC2456 Engineering computational analysis is a level 2, 6-credit-point, undergraduate unit from the Faculty of Engineering. It isn't offered in 2020. It needs ENG1060 and unlocks 1 unit.
- Credit points
- 6
- Offered in 2020
- Not offered
The 2027 handbook has no page for MEC2456. This is its 2020 entry, the latest one.
Reviews
No reviews yetNo reviews yet. Be the first to review MEC2456.
Requisites
Before MEC2456
Prerequisites
Pass these before you enrol.
After MEC2456
1 unit list MEC2456 as a prerequisite or corequisite.
Equivalent units
The same content under another code. Only one of them counts.
Overview
This unit conveys the fundamentals of numerical analysis techniques for root-finding, interpolation, integration, the solution of ordinary differential equations and data analysis, and Matlab is employed to demonstrate their implementation. The role computers play in both the solution of engineering problems and the acquisition and analysis of data is explored through consideration of common partial differential equations in mechanics, and their solution via finite difference, finite volume, and finite element methods. Exposure to commercial finite-element analysis and computational fluid dynamics codes provides experience in solving practical engineering problems.
Offerings in 2020
The 2020 handbook lists no offerings for MEC2456.
Learning outcomes
When you finish this unit, you should be able to:
- 1
Understand the role of computers and numerical analysis in modern engineering practice
- 2
Ability to evaluate stability, efficiency and accuracy constraints on available methods for numerical approximation of engineering solutions
- 3
Ability to apply 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
Knowledge of the types of equations which arise in computational mechanics
- 6
Understanding of the use of finite difference, finite volume and finite element methods, to solve computational mechanics problems
- 7
Understanding and applying methods for data analysis, including sampling, Fourier transforms and filtering
- 8
Solve engineering problems numerically
- 9
Determine the appropriate technique to solve a problem through consideration of the accuracy, efficiency and stability of available methods
- 10
Acquire, analyse and interpret data
- 11
Complete tasks as part of a team
- 12
Improve oral and written communication skills
- 13
Appreciation of the role of computers in engineering industry
- 14
Confidence in identifying engineering problems and formulating original solutions
Workload and teaching
3 hour lectures, 2 hours practice sessions or laboratories per week and 6 hours of private study per week
Contacts
- Chief Examiners
- Professor Chris Davies
- Unit Coordinators
- Dr Zhe Liu
Common questions
More details
- Credit points
- 6
- Level
- 2
- Study level
- Undergraduate
- Faculty
- Faculty of Engineering
- Organisational unit
- Department of Mechanical and Aerospace Engineering
- Type
- Coursework
- EFTSL
- 0.125
- Student contribution
- SCA Band 2
- Study abroad
- Not available
- Handbook years
- 2020