0 points, SCA Band 2, 0.000 EFTSL
Postgraduate - Unit
Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.
Faculty
Organisational Unit
Department of Electrical and Computer Systems Engineering
Chief examiner(s)
Coordinator(s)
Not offered in 2019
Prerequisites
None
Co-requisites
None
Prohibitions
None
Synopsis
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.
Outcomes
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
Assessment
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.
Workload requirements
2 hours lectures, 3 hours practicals/labs/literature reviews and 7 hours of private study per week
See also Unit timetable information
This unit applies to the following area(s) of study
Electrical and Computer Systems Engineering