units

CIV5319

Faculty of Engineering

print version

This unit entry is for students who completed this unit in 2016 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.

6 points, SCA Band 2, 0.125 EFTSL

Postgraduate - Unit

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

Faculty

Engineering

Coordinator(s)

tba

Offered

Suzhou

  • First semester 2016 (Day)

Notes

This unit is only available to students enrolled in the double award Master International/Master of Transportation Systems with South East University, China.

Synopsis

This unit highlights fundamentals of data analysis, probability and statistics and their application to transportation systems analysis. Quantitative methods in data analysis and statistical methods relevant to traffic and transport engineering, survey design, modelling and forecasting will be investigated. The student is expected to develop an understanding of probability theory and statistical procedures, along with approaches for integrating data analysis and graphical methods. The unit is designed to provide students with an in-depth understanding of the process involved in model development.

Outcomes

After completing this unit students will be able to:

  1. appreciate the need for a systematic approach for data collection, analysis and model development
  2. recommend, apply and evaluate graphical and tabular methods of presenting data along with probabilistic modes, descriptive statistics and statistical tests to gain rigorous insight from transport and traffic data
  3. critique the methods employed and the insight obtained from data analyses
  4. design and distinguish the required steps in the model development process

Assessment

Assignments: 50%
Examination (3 hours): 50%
Students must pass both components.

Workload requirements

150 hours

See also Unit timetable information

Chief examiner(s)

Prerequisites

none

Co-requisites

none

Prohibitions

none