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 course teaches both the theory and practice of quantitative analysis. 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. Computer based workshops complement the lectures and provide students with highly marketable skills in MS Excel.

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Further unit of study information

Classes

6 x 3.5 hour lectures, 6 x 3.5 hour computer laboratory. Refer to timetable for full details.

Assessment

In-class quizzes (20%), computer exams (2) (50%), final exam (30%)

Textbooks

Rose J and Beck M (2007) Basic Quantitative Analysis for Management Anderson D, Sweeney D and Williams T (2004), Contemporary management science with spreadsheets Levin DM, Stephan D, Krehbeil TC and Berenson ML (2005), Statistics for managers using Micro

Faculty/department permission required?

No

Unit of study rules

Prerequisites and assumed knowledge

Prerequisite: Assumed knowledge: Basic familiarity with MS Excel and basic mathematical knowledge.

Prerequisite: Assumed knowledge: Basic familiarity with MS Excel and basic mathematical knowledge.

Prohibitions

TPTM6495

Corequisites

ITLS5000 (or TPTM5001) or ITLS5100 (or TPTM6241)

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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.

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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.

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