Quantitative Logistics & Transport (ITLS5200)
UNIT OF STUDY
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.
Our courses that offer this unit of study
- Graduate Certificate in Commerce
- Graduate Certificate in Logistics Management
- Graduate Certificate in Transport Management
- Graduate Diploma in Commerce
- Graduate Diploma in Logistics Management
- Graduate Diploma in Transport Management
- Master of Commerce
- Master of Logistics Management
- Master of Transport Management
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
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.
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.