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Sensor Systems (MCEN90032)

Graduate courseworkPoints: 12.5On Campus (Parkville) and Online

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Overview

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Semester 1 - On Campus
Semester 1 - Online
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This subject deals with principles of physical sensing mechanisms, sensor data processing, sensor networking. It provides an appreciation of challenges in designing and implementing sensor-based solutions in a range of applications.

INDICATIVE CONTENT

Topics covered include:

  • Sensors (construction and characteristics)
  • Filtering of sensor outputs
  • Sensor networks (communication between sensors and coordination of a large number of sensors)
  • Case studies.

Intended learning outcomes

On completion of this subject students should:

  • 1. Demonstrate proficiency and deep understanding of the principles and operation, networking and data processing of a range of sensor systems used in mechatronic systems
  • 2. Demonstrate the capability to implement a sensing system in the face of practical signal noise.
  • 3. Demonstrate mastery over processing techniques that accommodates the stochastic nature of the practical sensor data
  • 4. Demonstrate professional communication skills to present technical reports of sensor design exercises and to present information obtained from sensing systems.

Generic skills

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: 31 January 2024