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Unit of study_
CIVL6002: Measurement and Data in Civil Engineering
2025 unit information
For a practicing engineer, the ability to solve real-world problem relies not only on fundamental understanding of theory but also proficient skills to measure and analyse data. The measurement of data often introduces new complications and limitations that must be first understood before properly analysing and interpreting any result. In this unit, students will learn the essential knowledge and skills to measure, analyse, model, and visualize data for applications in civil and environmental engineering. This unit comprises lectures and related hands-on practices to learn and exercise skills in measurement, programming, and digital tools, with case studies tackling data analysis problems in civil and environmental engineering.
Unit details and rules
Managing faculty or University school:
Engineering
| Study level | Postgraduate |
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| Academic unit | Civil Engineering |
| Credit points | 6 |
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Prerequisites:
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None |
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Corequisites:
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None |
| Prohibitions:
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None |
| Assumed knowledge:
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Basic fundamental concepts common to any undergraduate civil and environmental engineering degree program. Familiarity with a programming language like Python, R, or MATLAB is preferred but not required. |
At the completion of this unit, you should be able to:
- LO1. engage with common methods of measurement and data acquisition in the context of civil and environmental engineering.
- LO2. apply digital signal processing tools to evaluate complex measurements which involve uncertainty, noise, and error.
- LO3. develop and fluently apply advanced statistical analyses using programming software.
- LO4. perform basic skills in correlation analysis and modelling.
- LO5. conduct data visualisation for statistics, modelling, and spatial variation to interpret results and formulate reliable conclusions.
- LO6. communicate effectively to an engineering audience through data visualisation, technical writing, and oral presentation.
Unit availability
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