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Clayton First semester 2007 (Day)
This unit introduces systems engineering and systems optimisation. Key concepts and language are introduced through real world examples. Frameworks for analysing the life cycles of systems are introduced. Tools and techniques to aid decision-making are provided. Design automation software tools are introduced with industry-specific examples. Group projects and discussions reinforce the concepts through real-world examples. The concepts of systems component and system optimisation are introduced and extended to prediction of the systems for ideal performance.
To come to appreciate the complexities and uncertainties in systems design.
To gain an overview of the kinds of software tools that can aid systems design, decision making and life cycle analysis.
To learn to identify life cycle phases in common electrical engineering systems.
To learn to create, discuss and analyse, and select between alternative systems designs in a logical framework.
To learn to identify and apply appropriate mathematical techniques and software tools to aid systems design and optimisation.
To learn to analyse systems performance of series and parallel systems.
To be able to predict optimum systems performance using system modelling and system simulation.
Examination: (3 hours) 70%
Continuous assessment: 30%. Students must achieve a mark of 45% in each of these two components to achieve an overall pass grade.
3 hours lectures and 3 hours laboratory and practice classes, and 6 hours of private study per week