Studying online
There are now 2 possible online modes for units:
Units with modes Online timetabled and Online flexible are available for any student to self-enrol and study online.
Click on an offering mode for more details.
Unit Overview
- Description
This unit covers concepts relating to measurement and noise, enabling students to understand the issues required to achieve high-quality measurements. Topics include accuracy, precision, repeatability, calibration, uncertainty and signal noise. Measurements from a range of sensors (mechanical, optical, electrical) are introduced and subsequent signal conditioning (operational amplifiers, instrumentation amplifiers) are addressed with the aim of maximising signal quality. Statistical methods are discussed to better understand noise processes and how signal noise can be minimised. Methods to improve signal quality (signal to noise ratio) are discussed. Measurement signal and noise are analysed in both the time and frequency domain to better understand the connection between two domains and the importance of measurement bandwidth. Sampling is reviewed to understand the impact of moving from continuous-time (CT) and discrete-time (DT), including discussion of the Nyquist rate and aliasing. The conversion between the analogue to digital domains including CT-DT, system transfer functions, spectral analysis (discrete Fourier transform, discrete-time Fourier transform) and the construction of finite and infinite impulse response filters to reduce noise is discussed.
- Credit
- 6 points
- Offering
(see Timetable) Availability Location Mode Semester 2 UWA (Perth) Face to face - Details for undergraduate courses
- Level 3 core unit in the Automation and Robotics Engineering; Biomedical Engineering; Mechanical Engineering major sequences
- Outcomes
Students are able to (1) explain measurement concepts; (2) use information from instrumentation specifications to design experiments; (3) achieve high-quality measurements using appropriate collection and data manipulation methods; (4) present data numerically and in graphical form in a manner that is clear and concise and includes the uncertainty associated with the measurement; (5) move between the time and frequency domains to interpret measurements and minimise signal noise; (6) assess instrumentation characteristics that affect data collection and measurement; and (7) analyse data in a manner that includes the uncertainty associated with the measurement.
- Assessment
Indicative assessments in this unit are as follows: (1) laboratories; (2) quizzes; and (3) final examination. Further information is available in the unit outline.
Student may be offered supplementary assessment in this unit if they meet the eligibility criteria.
- Unit Coordinator(s)
- Associate Professor Adrian Keating
- Unit rules
- Prerequisites
- CITS1401 Computational Thinking with Pythonand ENSC2004 Engineering Mechanics (ID 7437) andand GENG2000 Engineering Practice 2
or CITX1401 Computational Thinking with Python
or CITS2401 Computer Analysis and Visualisation (ID 343)
and Enrolment inBachelor of Engineering (Honours) or an associated Combined Degree - Incompatibility
- MECH4424 Measurement and Noise (ID 2625)
- Contact hours
- lectures/information sessions: 3 hours per week
practical classes: 1 hour per week
labs: 2 hours per week - Note
- It is recommended that students are familiar with the Microsoft Excel spreadsheet program as Excel will be used to perform calculations in assessments/labs.
- The availability of units in Semester 1, 2, etc. was correct at the time of publication but may be subject to change.
- All students are responsible for identifying when they need assistance to improve their academic learning, research, English language and numeracy skills; seeking out the services and resources available to help them; and applying what they learn. Students are encouraged to register for free online support through GETSmart; to help themselves to the extensive range of resources on UWA's STUDYSmarter website; and to participate in WRITESmart and (ma+hs)Smart drop-ins and workshops.
- Visit the Essential Textbooks website to see if any textbooks are required for this Unit. The website is updated regularly so content may change. Students are recommended to purchase Essential Textbooks, but a limited number of copies of all Essential Textbooks are held in the Library in print, and as an ebook where possible. Recommended readings for the unit can be accessed in Unit Readings directly through the Learning Management System (LMS).
- Contact hours provide an indication of the type and extent of in-class activities this unit may contain. The total amount of student work (including contact hours, assessment time, and self-study) will approximate 150 hours per 6 credit points.
Face to face
Predominantly face-to-face. On campus attendance required to complete this unit. May have accompanying resources online.
Online flexible
100% Online Unit. NO campus face-to-face attendance is required to complete this unit. All study requirements are online only. Unit is asynchronous delivery, with NO requirement for students to participate online at specific times.
Online timetabled
100% Online Unit. NO campus face-to-face attendance is required to complete this unit. All study requirements are online only. Unit includes some synchronous components, with a requirement for students to participate online at specific times.
Online Restricted
Not available for self-enrolment. Students access this mode by contacting their student office through AskUWA. 100% Online Unit.
NO campus face-to-face attendance. All study and assessment requirements are online only. Unit includes some timetabled activities, with a requirement for students to participate online at specific times. In exceptional cases (noted in the Handbook) students may be required to participate in face-to-face laboratory classes when a return to UWA’s Crawley campus becomes possible in order to be awarded a final grade.
External
No attendance or regular contact is required, and all study requirements are completed either via correspondence and/or online submission.
Off-campus
Regular attendance is not required, but student attends the institution face to face on an agreed schedule for purposes of supervision and/or instruction.
Multi-mode
Multiple modes of delivery. Unit includes a mix of online and on-campus study requirements. On campus attendance for some activities is required to complete this unit.