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Unit of study_

ITLS5200: Quantitative Logistics and Transport

2020 unit information

Supply chain management, as well as logistics, transport and infrastructure management, relies on the ability to make effective decisions based on the information provided by careful analysis of data. Students undertaking this unit will develop a strong understanding of the basic techniques underpinning quantitative analysis and will develop highly marketable skills in spreadsheet modelling and the communication and presentation of data to support management decision making. This unit emphasises the practical aspects of quantitative analysis with computer-based workshops. 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 demand forecasting, spreadsheet modelling, optimisation of production and transportation using linear programming, simulation and basic statistics and linear regression techniques.

Unit details and rules

Managing faculty or University school:

Business (Business School)

Study level Postgraduate
Academic unit Transport and Logistics Studies
Credit points 6
Prerequisites:
? 
None
Corequisites:
? 
ITLS5000 or TPTM5001 or ITLS5100 or TPTM6241
Prohibitions:
? 
TPTM6495
Assumed knowledge:
? 
None

At the completion of this unit, you should be able to:

  • LO1. select the appropriate model to use in unfamiliar contexts; demonstrate an ability to implement a core set of quantitative analysis techniques in an efficient manner; and demonstrate a familiarity with a broader range of techniques
  • LO2. clean, chart and present data and the outputs of quantitative analysis and interpret and discuss outputs, identifying limitations and creating recommendations
  • LO3. explain methods in your own words and demonstrate an understanding of how the techniques are implemented in practice in the logistics, supply chain management, transport or infrastructure industries and in the broader context of decision making for business
  • LO4. recognise and address issues relating to the ethics of quantitative analysis and data presentation.

Unit availability

This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.

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There are no availabilities for this year.
Session MoA ?  Location Outline ? 
Semester 1 2020
Normal evening Camperdown/Darlington, Sydney
Semester 2 2020
Normal evening Camperdown/Darlington, Sydney

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Modes of attendance (MoA)

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