CIV5303 · Applied transport data analysis

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

The Handbook publishes no offerings for this unit.

Assessment

The Handbook lists an examination for this unit.

Continuous assessment: 50% Final assessment: 50% This unit contains hurdle requirements that you must achieve to be able to pass the unit. You are required to achieve at least 45% in the total continuous assessment component and at least 45% in the final assessment component. The consequence of not achieving a hurdle requirement 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

The Handbook lists no prerequisite, corequisite or prohibition for this unit.

Learning outcomes

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

The minimum total expected workload to achieve the learning outcomes for this unit is 150 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.

Student experience, not official rules. Nothing here changes what the Handbook says.