Internet of Things and Distributed Artificial Intelligence unit (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	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
Level	Intermediate

Availability

Specific information on 2027 unit availability will be available in August

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

2027 fee information will be available in August.

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
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.

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