ECE5885 - Energy efficient lighting - 2018

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.

Faculty

Engineering

Organisational Unit

Department of Electrical and Computer Systems Engineering

Chief examiner(s)

Professor Tom Drummond

Coordinator(s)

Dr Vineetha Kalavally

Unit guides

Offered

Malaysia

  • First semester 2018 (On-campus)

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:

  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

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. Students failing to achieve this requirement will be given a maximum of 45% in the unit.

Workload requirements

2 hours lectures, 3 hours tutorials/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