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Hobart, Launceston

Introduction

Sensor networks are found everywhere: industry processes, cars, airplanes, robots, in the environment, farms, in hospitals, on space and on our phones. Sensors play a key role in our daily life activities. This unit will introduce students to ways of planning and deploying sensor networks. Students will gain deep understanding on software, hardware, communication protocols, data formats and data analysis tools available for planning, deploying and maintaining sensor networks.

The aim of this unit is to introduce you to modern technologies on sensor networks. The objective is to increase your awareness of the role of sensor networks in our society and their potential with growing data sharing activities. This unit also seeks to develop critical thinking while considering sensor networks and, based on practical field components, provide you with the opportunity to deploy your own sensor network.

Summary 2021

Unit name Internet of Things and Distributed Artificial Intelligence
Unit code KIT317
Credit points 12.5
Faculty/School College of Sciences and Engineering
School of Information and Communication Technology
Discipline Information & Communication Technology
Coordinator

Ananda Maiti

Teaching staff

Level Advanced
Available as student elective? Yes
Breadth Unit? No

Availability

Note

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About Census Dates

Fees

Requisites

Prerequisites

25 credit points in ICT units at intermediate level

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 tutorials in person. (This is optional)

Assessment

40% 2-hr exam, 60% in-semester (4 assignments worth 2 x 10%, 2 x 20%)

TimetableView the lecture timetable | View the full unit timetable

Textbooks

Required

Recommended

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