Quantitative Logistics and Transport (ITLS5200)


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.

Further unit of study information


9 x 3.5 hr lectures, 5 x 3.5 hr computer laboratory. Refer to timetable for full details.


In-class quizzes (30%), and computer exams (70%).


Selvanathan, E. A., Selvanathan, S. And Keller, G. 2014, Business Statistics: Australia and New Zealand 6th edition, Cengage Learning Australia, Melbourne.

Faculty/department permission required?


Unit of study rules

Prerequisites and assumed knowledge

Basic familiarity with MS Excel and basic mathematical knowledge.




ITLS5000 or TPTM5001 or ITLS5100 or TPTM6241

Study this unit outside a degree

Non-award/non-degree study

If you wish to undertake one or more units of study (subjects) for your own interest but not towards a degree, you may enrol in single units as a non-award student.

Cross-institutional study

If you are from another Australian tertiary institution you may be permitted to underake cross-institutional study in one or more units of study at the University of Sydney.