Supply chain management, logistics, transport and infrastructure management relies on the ability to make effective decisions supported by careful and appropriate data analysis. Students undertaking this unit develop a strong understanding of the basic techniques underpinning quantitative analysis and 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, focusing on how the theories are applied in practice, drawing on real world experience in quantitative analysis. The unit covers basic statistical and data presentation techniques, spreadsheet modelling, linear optimisation methods for production and transportation applications, demand forecasting, simulation, and linear regression techniques.
Details
Academic unit | Transport and Logistics Studies |
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Unit code | ITLS6203 |
Unit name | Analytic Methods for Logistics |
Session, year
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Semester 2, 2022 |
Attendance mode | Normal day |
Location | Remote |
Credit points | 6 |
Enrolment rules
Prohibitions
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ITLS5200 or TPTM6495 |
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Prerequisites
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None |
Corequisites
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None |
Available to study abroad and exchange students | Yes |
Teaching staff and contact details
Coordinator | Chinh Ho, quoc.ho@sydney.edu.au |
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