Courses & Units
Internet of Things and Distributed Artificial Intelligence KIT217
Introduction
The Internet of Things (IoT) is a rising set of technologies that provides access to a large quantity of data through sensors. Such devices are ubiquitous today in industrial processes, vehicles, robots, environmental monitoring, farms, hospitals, and on our personal item such as phones. IoT enables users to visualise, monitor, analyse and predict aspects of their environments that would otherwise be impossible to do manually. The ability to connect devices to the internet allows humans to have access to data in real time. The large amount of data collected over time can lead to discovery of patterns using machine learning and artificial intelligence, which could in turn lead to improvement of the system the IoT sensors are observing. The aim of this unit is to explore modern technologies in sensor networks with intelligent edge computing. You will develop the skills to process the data generated by distributed IoT devices using artificial intelligence and machine learning methods.
Summary
Unit name | Internet of Things and Distributed Artificial Intelligence |
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Unit code | KIT217 |
Credit points | 12.5 |
College/School | College of Sciences and Engineering School of Information and Communication Technology |
Discipline | Information & Communication Technology |
Coordinator | Doctor Ananda Maiti |
Available as an elective? | Yes |
Delivered By | University of Tasmania |
Availability
This unit is currently unavailable.
Note
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Learning Outcomes
- Design and deploy efficient IoT sensor networks to gather data
- Determine the correct technologies and data formats for IoT applications.
- Analyse the data from sensor networks using artificial intelligence and machine learning methods
Fee Information
Field of Education | Commencing Student Contribution 1,3 | Grandfathered Student Contribution 1,3 | Approved Pathway Course Student Contribution 2,3 | Domestic Full Fee 4 |
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not applicable |
1 Please refer to more information on student contribution amounts.
2 Please refer to more information on eligibility and Approved Pathway courses.
3 Please refer to more information on eligibility for HECS-HELP.
4 Please refer to more information on eligibility for FEE-HELP.
If you have any questions in relation to the fees, please contact UConnect or more information is available on StudyAssist.
Please note: international students should refer to What is an indicative Fee? to get an indicative course cost.
Requisites
Prerequisites
KIT107Teaching
Teaching Pattern | Lectorials: 2 hrs/week (Weeks 1-13) |
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Assessment | Quizzes (10%)|Workshop Exercises (10%)|Assignment 1: Programming with sensors and clouds (20%)|Assignment 2: Analysing and Reporting on Data (30%)|Online Test (30%) |
Timetable | View the lecture timetable | View the full unit timetable |
Textbooks
Required |
Required readings will be listed in the unit outline prior to the start of classes. |
Links | Booktopia textbook finder |
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