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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, site visits 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 2021

Unit name Sensors and Sensor Networks
Unit code ZAT218
Credit points 12.5
Faculty/School University College
Discipline STEAM
Coordinator

TBC

Available as student elective? Yes
Breadth Unit? No

Availability

Note

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TNE Program units special approval requirements.

* 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 (see withdrawal dates explained for more information).

About Census Dates

Learning Outcomes

  1. Explain the principles of sensor and sensor networks for industrial application
  2. Design and evaluate the use of sensors in response to industry needs
  3. Evaluate sensor networks and technology in response to industry specifications
  4. Reflect on and communicate the process of solving complex problems in practice

Fees

Requisites

Prerequisites

ZAT113  Programming Principles

Teaching

Teaching Pattern

Teaching material and tutorial support will be provided weekly through MyLO during the term.

Students will be required to attend two to three on campus practical sessions per term (2-3 hours per session).

Internet access is required for this course as students are required to access study materials provided online through MyLO. Please log into MyLO on the first day of each teaching period.

Assessment

AT1: Big Data and Industrial Change Essay (25%)

AT2: Sensor Implementation Procedure (45%)

AT3: Simulated Field Development Presentation (30%)

TimetableView the lecture timetable | View the full unit timetable

Textbooks

RequiredNone

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