6 points, SCA Band 2, 0.125 EFTSL
Postgraduate - Unit
Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.
- First semester 2017 (Day)
This unit covers modern lighting technology and teaches how lighting can be used for improving sustainability and energy savings. The unit discusses how sensor networks, machine learning techniques and visible light communication can be used to build autonomous lighting networks. It also relates these concepts to intelligent lighting and green building requirements.
On successful completion of this unit students should be able to:
- Analyze colour quality and energy efficiency of lighting
- Examine sensor networks and using them to incorporate intelligence in lighting.
- Analyze benefits and trade-offs of visible light communication
- Use machine learning techniques to automate lighting systems
- Describe system-based requirements of building automation
- Explain green building requirements and relevant standards
Continuous assessment: 60 %
Examination (2 hours): 40 %
Students are required to achieve at least 45% in the total continuous assessment component and at least 45% in the final examination component and an overall mark of 50% to achieve a pass grade in the unit. Students failing to achieve this requirement will be given a maximum of 45% in the unit.
2 hours lectures, 3 hours tutorials/labs/literature reviews and 7 hours of private study per week
See also Unit timetable information