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Sensor Networks and Applications (COMP90017)
Graduate courseworkPoints: 12.5Not available in 2020
For information about the University’s phased return to campus and in-person activity in Winter and Semester 2, please refer to the on-campus subjects page.
Please refer to the LMS for up-to-date subject information, including assessment and participation requirements, for subjects being offered in 2020.
Overview
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AIMS
Sensor networks are a key component of today’s increasingly pervasive computing technologies. In this subject, the aim is to develop an understanding of sensor network technologies from three different perspectives: sensing, communication, and computing (including hardware, software, and algorithms) and their applications.
INDICATIVE CONTENT
Topics covered include:
- Attributes of sensor networks
- Wired and wireless sensors
- Sensors and networks design and deployment issues
- Bandwidth and energy constraints aware techniques for network discovery
- Network control and routing
- Collaborative information processing
- Offloading processing and data management tasks, querying
- Tasking and programming sensor networks
- Standards that provide the models and schema encoding for defining the geometric, dynamic and observational characteristics of a sensor, and
- Applications
Intended learning outcomes
INTENDED LEARNING OUTCOMES (ILO)
On completion of this subject the student is expected to:
- Develop an understanding of sensor network technologies from three different perspectives: sensing, communication, and computing (including hardware, software, and algorithms) and their applications
- Discuss and present new sensor network technologies in oral and written form
Generic skills
On completion of this subject students should have the following skills:
- Ability to undertake problem identification, formulation and solution
- Capacity for independent critical thought, rational inquiry and self-directed learning
- Profound respect for truth and intellectual integrity, and for the ethics of scholarship.
Last updated: 30 January 2024
Eligibility and requirements
Prerequisites
None
Corequisites
None
Non-allowed subjects
None
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 30 January 2024
Assessment
Due to the impact of COVID-19, assessment may differ from that published in the Handbook. Students are reminded to check the subject assessment requirements published in the subject outline on the LMS
Description | Timing | Percentage |
---|---|---|
One project due around week 12
| Week 12 | 20% |
One 10 minute presentation and a term paper (1000 words)
| From Week 10 to Week 11 | 20% |
One examination
| End of semester | 60% |
Additional details
Intended Learning Outcome (ILO) 1 is assessed by all the components. ILO 2 is assessed by the project and term presentation/paper components. All components should be completed satisfactorily to obtain a passing mark in this subject.
Last updated: 30 January 2024
Dates & times
Not available in 2020
Time commitment details
200 hours
Last updated: 30 January 2024
Further information
- Texts
Prescribed texts
None
- Subject notes
LEARNING AND TEACHING METHODS
The subject will be delivered through a combination of lectures, tutorials, student presentations. Students will write a report about emerging sensing technologies and complete a project.
INDICATIVE KEY LEARNING RESOURCES
The subject access a number of recent scholarly papers in the area which are presented through lecture slides. Papers are made available through LMS to the students.
CAREERS / INDUSTRY LINKS
Sensor networks are an emerging area in multiple fronts in information and communication technologies, these include but are not limited to environmental and habitat monitoring, infrastructure security, emergency response, transportation and traffic management. The subject hosts industry partners to give invited talks during lecture time such as the Daintree Networks located in Victoria.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Science (Computer Science) Course Doctor of Philosophy - Engineering Course Ph.D.- Engineering Course Master of Philosophy - Engineering Specialisation (formal) Spatial Specialisation (formal) Computing Specialisation (formal) Distributed Computing Major Computer Science Specialisation (formal) Software - Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
Additional information for this subject
Subject coordinator approval required
- Available to Study Abroad and/or Study Exchange Students
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.
Last updated: 30 January 2024