Postgraduate - UnitCIV5303 - Quantitative methods

This unit entry is for students who completed this unit in 2015 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.

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6 points, SCA Band 2, 0.125 EFTSL

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

Level	Postgraduate
Faculty	Faculty of Engineering
Organisational Unit	Department of Civil Engineering
Offered	Clayton First semester 2015 (Day) Clayton First semester 2015 (Off-campus)
Coordinator(s)	tba

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.

Workload requirements

150 hours study

Chief examiner(s)

Professor Jeffrey Walker