This unit is specifically designed for science and engineering graduates requiring a rigorous applied and functional knowledge of signal conditioning and data acquisition appropriate for experiments carried out in the maritime field. The subject matter has been designed around the specific problems encountered using the suite of testing facilities of the National Centre for Maritime Engineering and Hydrodynamics for engineering research and development. However, upon successful completion and retention of the knowledge gained within this unit the student will be able to transfer the methods to other testing environments.
The intensive learning sessions begin with learning activities on transducer technologies for pressure, force, strain, acceleration and flow measurements. Topics on signal conditioning and data acquisition then lead on to filter design. Post-processing of data is covered in the final 2.5 days with specific reference to the hardware already introduced. For all aspects of the course students are introduced to global resources available for such work from the lecturer’s experience of conducting experiments in a number of world-renowned facilities.
Although this unit is highly technical, the students are also introduced to the ideas of ethical research, and the need for formal ethical approval. This unit will not cover the formal approval process, students MUST conduct further self-driven research on this topic if they require it.
|Unit name||Signal Conditioning, Data Acquisition and Data Analysis|
|College/School||College of Sciences and Engineering
Australian Maritime College
|Discipline||National Centre for Maritime Engineering and Hydrodynamics|
|Coordinator||Professor Jonathan Binns|
|Delivered By||University of Tasmania|
|Location||Study period||Attendance options||Available to|
- International students
- Domestic students
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Units are offered in attending mode unless otherwise indicated (that is attendance is required at the campus identified). A unit identified as offered by distance, that is there is no requirement for attendance, is identified with a nominal enrolment campus. A unit offered to both attending students and by distance from the same campus is identified as having both modes of study.
|Study Period||Start date||Census date||WW date||End date|
* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (refer to How do I withdraw from a unit? for more information).
Unit census dates currently displaying for 2023 are indicative and subject to change. Finalised census dates for 2023 will be available from the 1st October 2022. Note census date cutoff is 11.59pm AEST (AEDT during October to March).
- List 5 probabilistic and 5 deterministic methods of analysing time series data;
- Design and test a combined analog and digital filter system for an expected set of experimental data;
- Specify a temperature, pressure, strain, force, flow and level transducer for a given set of data acquisition requirements using global and local resources;
- Report the details of an experimental setup for a specialist experimentalist and a scientist without such experience;
- Differentiate between an impulse signal and a periodic signal and apply analysis methods appropriate to each form of data;
- Determine if a particular study requires formal ethical approval, if not then identify what ethical considerations are required.
|Field of Education||Commencing Student Contribution 1||Grandfathered Student Contribution 1||Approved Pathway Course Student Contribution 2||Domestic Full Fee|
1 Please refer to more information on student contribution amounts.
2 Please refer to more information on eligibility and Approved Pathway courses.
3 Please refer to more information on eligibility for HECS-HELP.
4 Please refer to more information on eligibility for FEE-HELP.
Please note: international students should refer to What is an indicative Fee? to get an indicative course cost.
PrerequisitesStudents must have completed a minimum of a 3-year science-based degree, ideally a 4-year engineering degree would have been completed.
|Assessment||Test or quiz (10%)|Assignment (50%)|Assignment (40%)|
|Timetable||View the lecture timetable | View the full unit timetable|
From online sources:
|Links||Booktopia textbook finder|
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