ENME423-24S1 (C) Semester One 2024

Instrumentation and Sensors

15 points

Details:
Start Date: Monday, 19 February 2024
End Date: Sunday, 23 June 2024
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 3 March 2024
  • Without academic penalty (including no fee refund): Sunday, 12 May 2024

Description

With a focus on measurements and sensor types encountered in Mechanical Engineering and Mechatronics, this course covers techniques to design, carry out, and interpret the results of testing and experiments. Topics include: design of experiments, statistical techniques for measurement data analysis, measurement uncertainty analysis, mechanical measurements, signal conditioning, measurement automation and sensor networks. Students will gain practical experience with common sensors and the hardware and software required for data collection and processing.

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.

Course Coordinator

Tim Giffney

Assessment

Assessment Due Date Percentage  Description
Test 28 Mar 2024 20%
Project 25% Instrumentation Design Proposal due 29/04/2024 Instrumentation Design Report due 27/05/2024
Lab Reports 10% Term 1, Lab A sessions
Final Exam 45%

Notes

For detailed course, policy, regulatory and integrity information, please refer to the UC web site, or see relevant Course or Department LEARN pages, (which are available to enrolled students).

Indicative Fees

Domestic fee $1,197.00

International fee $6,000.00

* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.

Limited Entry Course

Maximum enrolment is 72

For further information see Mechanical Engineering .

All ENME423 Occurrences

  • ENME423-24S1 (C) Semester One 2024
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