× You are viewing an archive version of this unit.

Hobart, Launceston


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

Ananda Maiti

Teaching staff

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



Please check that your computer meets the minimum System Requirements if you are attending via Distance/Off-Campus.

Units are offered in attending mode unless otherwise indicated (that is attendance is required at the campus identified). A unit identified as offered by distance, that is there is no requirement for attendance, is identified with a nominal enrolment campus. A unit offered to both attending students and by distance from the same campus is identified as having both modes of study.

Special approval is required for enrolment into TNE Program units.

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




25 credit points in ICT units at intermediate level


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)


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




The University reserves the right to amend or remove courses and unit availabilities, as appropriate.