2014 Unit of Study

The session(s) below are for 2014. For Summer School 2014 unit of study availability please visit the Summer School website (main Summer session January/February 2014).

The University of Sydney session calendar shows exact dates for sessions.

Quantitative Logistics & Transport
UoS Code ITLS5200
Credit points 6
Offered Semester 1 and Semester 2
Prerequisites Prerequisite: Assumed knowledge: Basic familiarity with MS Excel and basic mathematical knowledge.
Corequisites ITLS5000 (or TPTM5001) or ITLS5100 (or TPTM6241)
Prohibitions TPTM6495
Assumed Knowledge Prerequisite: Assumed knowledge: Basic familiarity with MS Excel and basic mathematical knowledge.
Additional Information
Lectures 9 x 3.5 hr lectures, 5 x 3.5 hr computer laboratory. Refer to timetable for full details.
Assessment In-class quizzes (30%), and computer exams (70%).
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.
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