INDE3002 (v.1) Dynamic and Stochastic Modelling and Optimisation
| Area: | Department of Mathematics and Statistics |
|---|---|
| Credits: | 25.0 |
| Contact Hours: | 4.0 |
| TUITION PATTERNS: | The tuition pattern provides details of the types of classes and their duration. This is to be used as a guide only. Precise information is included in the unit outline. |
| Lecture: | 1 x 2 Hours Weekly |
| Tutorial: | 1 x 1 Hours Weekly |
| Workshop: | 1 x 1 Hours Weekly |
| Equivalent(s): |
310301 (v.2)
Dynamic and Stochastic Modelling and Optimisation 302
|
| UNIT REFERENCES, TEXTS, OUTCOMES AND ASSESSMENT DETAILS: | The most up-to-date information about unit references, texts and outcomes, will be provided in the unit outline. |
| Syllabus: | This unit focuses on dynamic and stochastic systems and provides a solid foundation in a range of tools applicable to the complex problems arising in industrial modelling and optimisation. The following areas are covered: Dynamic programming: Basic concepts, applications,models and algorithms are investigated with optimal solutions developed and implemented for relevant applications. Queuing models: Basic concepts are covered. Several types of queuing models and their advantages and disadvantages are studied and optimal solutions are derived for each. Simulation: Simulation is a very powerful tool that provides the industrial modeller with the ability to study complex systems in considerable detail. Simulation modelling comprise of three major components: input generation that allows the system to be viewed "in action"; a bookkeeping phase that keeps track of transactions occurring in the system and keeps counters on ongoing processes in order to calculate appropriate performance measures and output analysis that establish the effectiveness of the system's performance. The unit provides the necessary skills to analyse, develop and implement simulation models. Techniques and methodologies used for the effective optimisation of simulations are also studied. |
| Field of Education: | 030703 Industrial Engineering |
| Result Type: | Grade/Mark |
Availability
| Year | Location | Period | Internal | Partially Online Internal | Area External | Central External | Fully Online |
|---|---|---|---|---|---|---|---|
| 2015 | Bentley Campus | Semester 2 | Y |
Area External refers to external course/units run by the School or Department or offered by research.
Central External refers to external and online course/units run through the Curtin Bentley-based Distance Education Area
Partially Online Internal refers to some (a portion of) learning provided by interacting with or downloading pre-packaged material from the Internet but with regular and ongoing participation with a face-to-face component retained. Excludes partially online internal course/units run through the Curtin Bentley-based Distance Education Area which remain Central External
Fully Online refers to the main (larger portion of) mode of learning provided via Internet interaction (including the downloading of pre-packaged material on the Internet). Excludes online course/units run through the Curtin Bentley-based Distance Education Area which remain Central External
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