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Unit of study_
CIVL9704: Transport Informatics
2024 unit information
This unit of study offers students an introduction to civil engineering data analysis using examples of real-world transport operations applications. Students will develop skills to convert data into information for decision making including data ingestion, data structures, summarisation, visualisation, error analysis, and basic modelling. The data science skills will be taught using Python notebooks. In parallel with data science skills, this unit of study will introduce public transport system operations and planning. Lecture and reading content will provide a foundation of history, terminology and methods to assess the performance of public transport systems and make data-driven planning decisions. The datasets will be drawn from urban public transport applications, and explore real-world challenges in transport informatics.
Unit details and rules
Managing faculty or University school:
Civil Engineering
| Code | CIVL9704 |
|---|---|
| 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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PMGT2851 OR ENGG2851 OR CIVL3704 |
| Assumed knowledge:
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Understanding of statistical inference. Familiarity with the urban transport network and basic concepts in transport studies |
At the completion of this unit, you should be able to:
- LO1. identify evidence of theoretical issues in the data and evaluate their significance
- LO2. present data-focused analysis in visual and oral contexts
- LO3. demonstrate understanding of the broader context for public transit including regulatory, equity, economic and environmental considerations
- LO4. demonstrate knowledge of ethical issues and professional standards around the gathering and use of transport data
- LO5. demonstrate an interdisciplinary evaluation of the public transit system including social, environmental and economic perspectives
- LO6. decompose complex problems into tasks in a systematic way
- LO7. employ public transport terminology fluently
- LO8. perform calculations related to public transport planning and operations
- LO9. develop solutions to open-ended public transit questions and support the solutions with evidence
- LO10. apply data science tools to analyse public transport systems
- LO11. select and apply appropriate modelling techniques. Apply theoretical understanding of statistical methods to practical problems around data collection, statistical inference and interpretation.
Unit availability
This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.
The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.
| Session | MoA ? | Location | Outline ? |
|---|---|---|---|
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Semester 2 2024
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Normal day | Camperdown/Darlington, Sydney |
Outline unavailable
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Modes of attendance (MoA)
This refers to the Mode of attendance (MoA) for the unit as it appears when you’re selecting your units in Sydney Student. Find more information about modes of attendance on our website.
