This unit has been discontinued.
Introduction
Uncertainty is one major cause of complexity in real-life problems. As computational power and quality develop rapidly, it is becoming possible to widely apply intelligent methods to model risk factors and optimize risk levels. The unit complements the units in business analytics, logistics management, supply chain management and warehousing, to provide better understanding of the essence of risk, the process of modelling risk factors, the techniques to assess risks using mixed empirical and subjective tools, and assist adequate and effective decision making. The unit will also offer advanced level operations research methods and techniques. The unit will teach students to model risk, to use econometrics tools for risk assessment, and interpret probabilistic reasoning. Case studies and specific tools in logistics management, logistics strategies and risk management in supply chains shall be incorporated into the unit.
Summary 2020
| Unit name | Risk Modelling and Optimisation |
|---|---|
| Unit code | JNB536 |
| Credit points | 12.5 |
| Faculty/School | College of Sciences and Engineering Australian Maritime College |
| Discipline | Maritime and Logistics Management |
| Coordinator | Prof Nataliya Nikolova |
| Level | Postgraduate |
| Available as student elective? | Yes |
| Breadth Unit? | No |
Availability
Note
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TNE Program units special approval requirements.
* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (see withdrawal dates explained for more information).
Fees
Teaching
| Teaching Pattern | 1 x 2-hr lecture and 1 x 1-hr tutorial weekly. |
|---|---|
| Assessment | Quiz 1 – 20 questions, 10 marks; Quiz 2 – 40 questions, 20 marks; Solving tasks – 4 tasks for 30 marks; Exam – 40 marks. |
| Timetable | View the lecture timetable | View the full unit timetable |
Textbooks
| Required | None |
|---|
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