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ENG5105 Advanced Numerical Modelling

Semester 2, 2023 Toowoomba On-campus
Units : 1
School or Department : School of Engineering
Grading basis : Graded
Course fee schedule : /current-students/administration/fees/fee-schedules

Staffing

Course Coordinator:

Requisites

Pre-requisite: Students must be enrolled in one of the following Programs: GCNS or GDNS or MENS or MEPR

Overview

Industry practice use of modelling techniques for design, optimisation and innovation using various general and industry discipline-based software is now the norm. The is a preparatory course for this industry readiness, but all the demonstration of application of these tools and skillset associated in preparation for ENG6002 (capstone group design and innovation practical) and master's engineering student's personal capstone research project and research portfolio.

This course provides students with the opportunity to develop industry and research based numerical modelling general tools, but also discipline specific tools and skillset associated. This includes the technoeconomic impact modelling techniques to evaluate technical modelling and research investigation/innovation in terms of consequences/benefits/risk/criticality assessment in terms of profit/loss, EOL, LCA, environmental gains/imposts and sustainability associated that is required by the Engineers Australia current Code of Ethics and Conduct.

Course learning outcomes

  1. Differentiate between the various types of modelling utilised in industry;
  2. Contrast between static and dynamic modelling;
  3. Apply Industry Discipline based software and evaluate any associated limitations;
  4. Evaluate basic models in their enrolled discipline-based engineering area;
  5. Appraise Techno-financial Impact modelling and its use in engineering design and research impact assessment.

Topics

Description Weighting(%)
1. Engineering Modelling techniques that interface laboratory, field testing data, design techniques and techno-economic impact assessment to sensitivity studies. 25.00
2. MATLAB/SIMULINK/SIMSCAPE Modelling. 25.00
3. Application and use of discipline specific software platform modelling, analysis and accuracy estimation / and impacts of assumptions used in techno-economic impact modelling, and their associated limitations. 25.00
4. Evaluating model outcomes and correct use in design, optimisation and innovation in respect to safety / cascade failure potential in respect to both discipline-based application, but also potentially multi-discipline-based design, research and implementation in engineering technology and applications. 25.00

Text and materials required to be purchased or accessed

There are no texts or materials required for this course.

Student workload expectations

To do well in this subject, students are expected to commit approximately 10 hours per week including class contact hours, independent study, and all assessment tasks. If you are undertaking additional activities, which may include placements and residential schools, the weekly workload hours may vary.

Assessment details

Approach Type Description Group
Assessment
Weighting (%) Course learning outcomes
Assignments Written Quiz No 15 1,2
Assignments Design Design 1 No 30 2,3
Assignments Design Design 2 No 45 2,3,4
Assignments Written Report No 10 1,2,3,4
Date printed 9 February 2024