Courses & Units
Sensors and Sensor Networks ZAT218
Introduction
In this unit, you will learn how sensor technologies and big data are enabling disruption for transformational change across all sectors of society. You will deploy sensors and develop the knowledge and skill to identify, install and calibrate sensors based on industry need. You will design sensor networks that can communicate and transmit unprocessed data for use in API and external systems. Through case studies and practical exercises you will develop an end-to-end sensor network meeting near-real-time data requirements.
In conjunction with the discipline theory, this unit builds on concepts of learning through practice in Year 1 of study by introducing you to more complex learning experiences.
You will be introduced to:
- discipline-based skills and knowledge in dynamic practice situations. This will include authentic and purposeful, industry-related experiences
- concepts of managing effective relationships and communicating with others
- the development and use of adaptive leadership skills and how these skills relate to innovative and entrepreneurial practice
- the nature of responsible, accountable and reflective workplace skills, and creative and critical thinking relevant to para-professional practice.
You will exercise self-awareness, initiative and judgement to manage yourself and professional relationships effectively. The application of tacit knowledge and capabilities will be reflected in a Practice Manual.
Summary
Unit name | Sensors and Sensor Networks |
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Unit code | ZAT218 |
Credit points | 12.5 |
College/School | College of Business & Economics University College |
Discipline | STEAM |
Coordinator | Doctor Ali Raza |
Available as an elective? | Yes |
Delivered By | University of Tasmania |
Availability
This unit is currently unavailable.
Key Dates
Study Period | Start date | Census date | WW date | End date |
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Semester 1 | 21/2/2022 | 22/3/2022 | 11/4/2022 | 29/5/2022 |
* 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 2022 are indicative and subject to change. Finalised census dates for 2022 will be available from the 1st October 2021. Note census date cutoff is 11.59pm AEST (AEDT during October to March).
Learning Outcomes
- Explain the principles of sensor and sensor networks for industrial application
- Design and evaluate the use of sensors in response to industry needs
- Evaluate sensor networks and technology in response to industry specifications
- Reflect on and communicate the process of solving complex problems in practice
Fee Information
Field of Education | Commencing Student Contribution 1,3 | Grandfathered Student Contribution 1,3 | Approved Pathway Course Student Contribution 2,3 | Domestic Full Fee 4 |
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031399 | $1,002.00 | $1,002.00 | not applicable | $2,798.00 |
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.
If you have any questions in relation to the fees, please contact UConnect or more information is available on StudyAssist.
Please note: international students should refer to What is an indicative Fee? to get an indicative course cost.
Requisites
Prerequisites
ZAT113Teaching
Teaching Pattern | Two to three on campus practical sessions per semester (2-3 hours per session). |
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Assessment | AT2: Simulated Field Deployment Plan (30%)|AT3: Sensor Based System Report and Presentation (50%)|AT1: Big Data and Industrial Change Essay (20%) |
Timetable | View the lecture timetable | View the full unit timetable |
Textbooks
Required |
Required readings will be listed in the unit outline prior to the start of classes. |
Links | Booktopia textbook finder |
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The University reserves the right to amend or remove courses and unit availabilities, as appropriate.