Postgraduate - UnitCIV5303 - Quantitative methods

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

Synopsis

The student is expected to develop an understanding of basic statistical procedures, an approach for integrating data analysis and graphical methods, the model development procedure, least squares regression, the interpretation of behavioural modelling techniques and time series analysis.

Outcomes

The objectives of the unit are to understand:

• why quantitative skills are fundamental requirements for modern traffic and transportation professionals;
• how to "translate" a traffic engineering of general engineering problem into a probability problem and accordingly build a probabilistic model to solve the problem;
• how statistical methods enable us to infer characteristics of a data population based on a sample of that population; and
• how to build and assess the robustness of statistical models that can be utilized for predicting/forecasting future travel conditions under various scenarios.

Assessment

Assignments: 50%
Examination (3 hours): 50%
Students are required to achieve at least 45% in the total continuous assessment component (assignments, tests, mid-semester exams, laboratory reports) and at least 45% in the final examination component and an overall mark of 50% to achieve a pass grade in the unit. Students failing to achieve this requirement will be given a maximum of 45% in the unit.

Chief examiner(s)

Professor Jeffrey Walker

Off-campus attendance requirements

150 hours study