CIV5303 Applied transport data analysis
Faculty of Engineering
CIV5303 Applied transport data analysis is a level 5, 6-credit-point, postgraduate unit from the Faculty of Engineering, offered in 2020 in Semester 1 at Clayton. It has no prerequisites and unlocks 1 unit.
- Credit points
- 6
- Offered in 2020
- Semester 1
- Clayton
This is the 2020 handbook entry. See the 2027 entry.
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Requisites
Before CIV5303
No prerequisites or corequisites.
After CIV5303
1 unit list CIV5303 as a prerequisite or corequisite.
Overview
Data are fundamental to transport decision making. This unit applies rigorous probabilistic and statistical techniques to the analysis of data commonly encountered in transport studies. You will develop an understanding of probabilistic and statistical analysis procedures and their application to analysis of univariate and multivariate data, the model development process and its application to range of modelling techniques employed in the analysis of transport data.
Offerings in 2020
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Clayton | De |
Learning outcomes
When you finish this unit, you should be able to:
- 1
Justify the relevance of quantitative data analysis skills for contemporary transport and traffic practice,
- 2
Estimate and appraise suitable probabilistic models for transport and traffic problems,
- 3
Infer the characteristics of a population based on a sample of that population drawing on appropriate statistical techniques, and
- 4
Estimate and evaluate the robustness of statistical models for understanding current, or predicting/forecasting future, travel/traffic conditions.
Workload and teaching
150 hours study
Contacts
- Chief Examiners
- Professor Jeffrey Walker
- Unit Coordinators
- Dr Wynita Griggs
Common questions
What are the prerequisites for CIV5303?
CIV5303 has no prerequisites.
What can I take after CIV5303?
CIV5303 is a prerequisite or corequisite for 1 unit, including CIV5308.
When is CIV5303 offered?
In 2020, CIV5303 runs in Semester 1 at Clayton.