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Industries widely apply systems engineering for various projects (e.g., product design, process improvement) to handle the system complexity and to ensure the effectiveness and efficiency through the project life cycle. This subject offers a practical introduction to the system engineering principles in an industrial context. The lectures and project work will expose students to the various stages of the systems engineering process and a range of simulation techniques.
Topics covered are grouped in four modules: 1) fundamentals of systems engineering; 2) functional analysis and conceptional modelling; 3) model implementation and discrete event simulation; and, 4) model validation and system evaluation. This subject will include a high level of industry engagement. Real world problems and industry projects will be used as learning instrument to provide first hand experience and to reinforce the system thinking as engineers. Industrial speakers are also invited as guest lectures to provide broader examples of engineering projects.
Intended learning outcomes
On the successful completion of this subject, students should be able to:
- 1. Design an industrial project by using system engineering framework;
- 2. Analyse the function requirements and classify system elements/attributes of complex industrial systems;
- 3. Develop conceptual models of industrial projects;
- 4. Apply a range of simulation and modelling techniques to analyse industrial systems;
- 5. Apply commercial package to develop discrete event simulation for process improvement projects;
- 6. Apply model verification and validation methods at different system stages;
- 7. Evaluate system performance by using simulation models.
- Capacity for independent thought.
- Ability to apply knowledge of engineering science and engineering methods to solve complex problems
- Ability to comprehend complex concepts and effectively communicate this understanding.
- Ability to plan work and to use time effectively.
- Ability to function effectively as an individual and in multidisciplinary and multicultural teams.
Last updated: 10 November 2023