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Hobart, Launceston

Introduction

Internet of Things (IoT) is a rising set of technologies that provides access to a large quantity of data through sensors. IoT is enabling users to visualize and monitor aspects of their environments that would otherwise be impossible manually. The ability to connect devices to the internet allows humans to have access to data in real time. Today there are standard web-based technologies that allow users to visualize IoT data on web browsers or apps. The cost of micro-controllers has gone down in recent years and many communication mechanisms have emerged such as LoRa, LoRaWAN and MQTT protocols.

The aim of this unit is to introduce you to Web Development for IoT and related modern technologies like Blockchain and Digital twins. The objective is to increase your awareness of the role of IoT in our society and its potential that derives from increasing data sharing activities. This unit also seeks to develop critical thinking while considering Internet of Things and, based on practical field components, provide you with the opportunity to deploy your own IoT web applications. You will use several sensors based on a micro-controller platforms like Arduino to create sensor applications that collect data and then integrate them with the internet and cloud-based platforms.

Summary 2021

Unit name Internet of Things and Web Applications
Unit code KIT717
Credit points 12.5
Faculty/School College of Sciences and Engineering
School of Information and Communication Technology
Discipline Information & Communication Technology
Coordinator

Ananda Maiti

Available as student elective? No
Breadth Unit? No

Availability

Note

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About Census Dates

Learning Outcomes

1

explain the uses of sensor networks and the technologies used to build IoT.

2

design, build and deploy efficient IoT web applications that are fit for purpose.

3

determine appropriate web technologies and data formats for effective IoT communication

4

effectively evaluate, process and visualise the data from sensors for a professional audience.

Fees

Requisites

Prerequisites

KIT502

Teaching

Teaching Pattern

Lectures: Two hours per week (Weeks 1-13)

Tutorials: Two hours per week (Weeks 2-13)

Lectures will be online, recorded and uploaded to MyLO.

All tutorials can be done with the online remote laboratory system.
Some tutorials may be done on-campus as well, if you wish to attend those tutorials in person. (This is optional)

Assessment

AT1 - Assignment: IoT system (25%)

AT2 - Assignment: Analyzing and Reporting on Data (25%)

AT3 - Tutorial tasks (10%)

AT4 - 2-hour Exam (40%)

TimetableView the lecture timetable | View the full unit timetable

Textbooks

RequiredNone

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