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Unit of Study

Quantitative Logistics and Transport
UoS Code ITLS5200
Credit points 6
Offered Semester 1 and Semester 2
Prerequisites None
Corequisites ITLS5000 or TPTM5001 or ITLS5100 or TPTM6241
Prohibitions QBUS5001 or TPTM6495
Assumed Knowledge Basic familiarity with MS Excel and basic mathematical knowledge.
Additional Information
Lectures 8 x 3.5 hr lectures, 5 x 3.5 hr computer labs.
Assessment computer exam (30%), individual report (30%), final exam (40%)
Description Successful logistics, transport and infrastructure management relies on the ability to analyse and transform data into usable information to support decision making. This unit emphasises the practical aspects of quantitative analysis with computer based workshops providing students with highly marketable skills in MS Excel. Students are guided through the basic theories used in decision making but emphasis is placed on how the theories are applied in practice, drawing on real world experience in quantitative analysis. The unit covers basic statistical analysis, linear regression, demand forecasting, spreadsheet modelling and linear programming.