Units / ENG1014
ENG1014 · Engineering numerical analysis
2027 Handbook6 credit pointsLevel 1Faculty of Engineering
Overview
This unit introduces engineering computing fundamentals in the contexts of data analysis and modelling of physical systems. The Python programming language will be introduced, including techniques for importing/exporting data and communicating results from computational analysis. Programming structures such as loops, conditional statements and functions will be introduced. You will use programming to examine a range of complex engineering systems, including performing basic analysis on large data sets and modelling systems that do not exhibit analytical solutions. Problems related to these systems will be solved using various numerical methods for linear regression, root-fiding, numerical integration and numerical solutions to ordinary differential equations. The underlying assumptions, complexities and uncertainties associated with the models and numerical methods will be emphasised.
Areas of study: E3001 Bachelor of Engineering (Honours)
Offerings
| Campus | Teaching period | Mode |
|---|---|---|
| Malaysia | First semester | Teaching activities are on-campus (ON-CAMPUS) |
| Malaysia | Summer semester A | Teaching activities are on-campus (ON-CAMPUS) |
| Clayton | Second semester | Some activities have a choice of on-campus or online teaching activities (FLEXIBLE) |
| Clayton | First semester | Some activities have a choice of on-campus or online teaching activities (FLEXIBLE) |
| Malaysia | Second semester | Teaching activities are on-campus (ON-CAMPUS) |
Assessment
The Handbook lists an examination for this unit.
| # | Assessment | Type | Weight | Hurdle |
|---|---|---|---|---|
| 1 | Computer labs | Exercise | 40% | Competency |
| 2 | Assignment | Written | 10% | — |
| 3 | Interview | Demonstration | 10% | Competency |
| 4 | Test | Quiz / Test | 0% | Competency |
| 5 | Final assessment | Examination | 40% | — |
Continuous assessment: 60% Final assessment: 40% Assessment in this unit includes competency hurdle assessment tasks. The consequence of not achieving a competency hurdle 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
prohibition
prerequisite
PREREQUISITES: VCE Specialist mathematics (Units 3 & 4 with a minimum study score of 30) or equivalent. If you do not meet this prerequisite, you must enrol in and pass ENG1090
ENG1090Learning outcomes
- Use appropriate programming structures and functions to solve fundamental computational tasks.
- Apply computational tools and numerical methods to analyse engineering scenarios.
- Evaluate uncertainties and algorithms in numerical modelling and their impact on the interpretation of results.
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.
| Activity | Duration |
|---|---|
| Workshops | 24 hours |
| Laboratories | 24 hours |
| Assessments | 1 hours |
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