MEC3456 · Engineering computational analysis

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 Python/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.

Areas of study: E3001 Bachelor of Engineering (Honours) - Specialisation: Aerospace engineering E3001 Bachelor of Engineering (Honours) - Specialisation: Mechanical engineering

Offerings

Assessment

The Handbook lists an examination for this unit.

Continuous assessment: 50% Final assessment: 50% This unit contains threshold hurdle requirements that you must achieve to be able to pass the unit. You are required to achieve at least 45% in the total continuous assessment component and at least 45% in the final assessment component. The consequence of not achieving a hurdle requirement is a fail grade (NH) and a maximum mark of 45 for the unit.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

Learning outcomes

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

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.

Student experience, not official rules. Nothing here changes what the Handbook says.