Sensor Systems (MCEN90032)
Graduate courseworkPoints: 12.5On Campus (Parkville)
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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.
Intended learning outcomes
INTENDED LEARNING OUTCOMES (ILO)
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.
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.
Last updated: 3 November 2022