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Unit of study_

Transport Analytics - CIVL5704

Year - 2020

Advanced data analytics and predictive transport modelling. This unit builds on quantitative analysis skills from CIVL3704 (Transport Informatics). Students will engage in in-depth data-mining using various data-sets available in the public domain as well as spatial and demographic overlaying to create transport maps and models of existing and predictive transport usage. Novel sources of data such as GIS trip-monitoring and real-time instrumentation will be introduced and utilised. Students will learn how to integration multiple data sources to create new and value-added knowledge.

Lectures, Tutorials

Refer to the assessment table in the unit outline.

Assumed knowledge
CIVL3704 OR CIVL9704


Faculty: Engineering

Semester 2

03 Aug 2020

Department/School: Civil Engineering
Study Mode: Normal (lecture/lab/tutorial) day
Census Date: 31 Aug 2020
Unit of study level: Fifth Year
Credit points: 6.0
EFTSL: 0.125
Available for study abroad and exchange: Yes
Faculty/department permission required? No
More details
Unit of Study coordinator: Emily Moylan
HECS Band: 2
Courses that offer this unit

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