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
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
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.

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Requisites

Prerequisites

KIT107

Teaching

Teaching Pattern

Lectorials: 2 hrs/week (Weeks 1-13)
Tutorials: 2 hrs/week (Weeks 2-13) - This unit will only offer on-campus tutorials

AssessmentQuizzes (10%)|Workshop Exercises (10%)|Assignment 1: Programming with sensors and clouds (20%)|Assignment 2: Analysing and Reporting on Data (30%)|Online Test (30%)
TimetableView 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.

LinksBooktopia textbook finder

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