Instrumentation and Sensors

Learning Outcomes

• Washington Accord (V4) Summary of Graduate Attributes attained in this course:
   WA3 – Design/Development of Solutions
   WA5 – Tool Usage
   WA9 – Communication
   WA10 – Project Management and Finance
  
  
• Course topics with Learning Outcomes (and Washington Accord (WA) and UC Graduate Attributes) identified.
  
  I.    Measurement specifications, principles and modelling
  II.   Signal conditioning
  III.  Mechanical measurements
  IV.  Measurement theory and statistical analysis
  V.   Regression analysis and measurement uncertainty
  VI.  Design of experiments
  VII. Sensor fusion
  VIII. Case studies/Review
  
  1.  Understand measurement system characteristics and modelling.
  2.  Understand instrumentation techniques including signal processing and conditioning, noise, and filtering.
  3.  Understanding sensing techniques for mechanical measurements.
  4.  Analyse instrumentation and sensing requirements through knowledge application.
  5.  Conceptualise and design instrumentation methods for complex electro-mechanical systems through synthesis of information and instrumentation system modelling.
  6.  Generate instrumentation solutions through application of sensing principles and signal processing techniques.
  7.  Gain theoretical understanding and apply statistical techniques for measurement data analysis.
  8.  Understanding in-depth and apply key principles for measurement error analysis.
  9.  Develop generic skills in project management, project documentation and reporting.
  10. Develop professional skills in acquiring and practically applying the knowledge through design of a real-life instrumentation system.
  11. Design and implement instrumentation systems using LabVIEW.
  12. Be familiar with industrial and sensor networks.

Prerequisites

For further information see Mechanical Engineering .