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 |
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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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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).
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)
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Assessment | 40% 2-hr exam, 60% in-semester (4 assignments worth 2 x 10%, 2 x 20%) |
Timetable | View the lecture timetable | View the full unit timetable |
Textbooks
Required | |
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Recommended |
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