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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 |
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Prerequisites:
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None |
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Corequisites:
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ITLS5000 or TPTM5001 or ITLS5100 or TPTM6241 |
| Prohibitions:
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TPTM6495 |
| Assumed knowledge:
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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
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Modes of attendance (MoA)
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