units

ECE5885

Faculty of Engineering

18 September 2017 25 November 2024
Monash University

Postgraduate - Unit

This unit entry is for students who completed this unit in 2015 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.

print version

6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Engineering
Organisational UnitDepartment of Electrical and Computer Systems Engineering
OfferedNot offered in 2015
Coordinator(s)Dr Vineetha Kalavally

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

Chief examiner(s)

Professor Jamie Evans

Prerequisites

None

Co-requisites

None

Prohibitions

None