MEC3456 - Engineering computational analysis - 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.

Faculty

Engineering

Organisational Unit

Department of Mechanical and Aerospace Engineering

Chief examiner(s)

Professor Chris Davies

Coordinator(s)

Professor Murray Rudman (Clayton)
Dr Ooi Ean Hin (Malaysia)

Unit guides

Offered

Clayton

  • First semester 2019 (On-campus)

Malaysia

  • First semester 2019 (On-campus)

Prerequisites

ENG1060

Prohibitions

MAE3456, MAE2403Not offered in 2019, MEC2456Not offered in 2019

Synopsis

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.

Outcomes

On successful completion of this unit, students will 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.

Assessment

Continuous assessment: 40%

Final Examination (3 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

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. A unit requires on average three to five hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.

See also Unit timetable information

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