Sensor Systems

This subject is not offered in 2014.

200 hours

Enrolment in a PhD or Masters by Research

OR for coursework students -

And also one of the following -

For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Student Support and Engagement Policy, academic requirements for this subject are articulated in the Subject Overview, Learning Outcomes, Assessment and Generic Skills sections of this entry.

It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact on meeting the requirements of this subject are encouraged to discuss this matter with a Faculty Student Adviser and Student Equity and Disability Support: http://services.unimelb.edu.au/disability

This subject deals with principles of sensing, sensor networking and multiple sensor data fusion. It provides an appreciation of challenges in designing and implementing wired and wireless sensor based solutions in a range of applications.

Topics covered include –
• Sensors (construction and characteristics)
• Filtering of sensor outputs (up to Kalman filtering options)
• Sensor networks (communication between sensors, how to arrange/coordinate large #s of sensors)
• Multisensor data fusion (SLAM, KF or equivalent)
• Case studies

On completion of this subject students should be able to understand the principles and operation, networking and data processing of a range of sensor systems used in mechatronic systems.

• Continuous assessment throughout the semester of group and individual projects (10%)
• Assignments and laboratory reports (20 pages excluding computations, tables, graphs, and diagrams)- one due in week 6 (10%) and one due in week 12 (20%).
• One 3 hour written examination at the end of semester (60%)

This subject is not available as a breadth subject.

On completion of this subject students should have the following skills -
• Critical thinking and critical judgement of assumptions adopted
• Abstract mathematical reasoning
• Interpretation and analysis of data
• Application of theory to practice
• Ability to utilise a systems approach to design and operational performance
• Ability to apply knowledge of basic science and engineering fundamentals
• Ability to undertake problem identification, formulation and solution, and
• Be able to clearly communicate the process and outcomes of a technical investigation