ECE6885 - Energy efficient lighting - 2019

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.



Organisational Unit

Department of Electrical and Computer Systems Engineering

Chief examiner(s)

Professor Tom Drummond


Assoc Professor Vineetha Kalavally

Not offered in 2019








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:

  1. Analyze colour quality and energy efficiency of lighting
  2. Examine sensor networks and using them to incorporate intelligence in lighting.
  3. Analyze benefits and trade-offs of visible light communication
  4. Use machine learning techniques to automate lighting systems
  5. Describe system-based requirements of building automation
  6. 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.

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