Useful links
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.
Code | ITLS6203 |
---|---|
Academic unit | Transport and Logistics Studies |
Credit points | 6 |
Prerequisites:
?
|
None |
---|---|
Corequisites:
?
|
None |
Prohibitions:
?
|
ITLS5200 or TPTM6495 |
At the completion of this unit, you should be able to:
Unit outlines will be available 1 week before the first day of teaching for the relevant session.
Key dates through the academic year, including teaching periods, census, payment deadlines and exams.
Enrolment, course planning, fees, graduation, support services, student IT
Code of Conduct for Students, Conditions of Enrollment, University Privacy Statement, Academic Integrity
Academic appeals process, special consideration, rules and guidelines, advice and support
Policy register, policy search
Scholarships, interest free loans, bursaries, money management
Learning Centre, faculty and school programs, Library, online resources
Student Centre, counselling & psychological services, University Health Service, general health and wellbeing