
Key Information
About the content
The Internet of Things is creating massive quantities of data, and managing and analysing it requires a unique approach to programming and statistics for distributed data sources.
This course will teach introductory programming concepts that allow connection to, and implementation of some functionality on, IoT devices, using the Python programming language. In addition, students will learn how to use Python to process text log files, such as those generated automatically by IoT sensors and other network-connected systems.
Learners do not need prior programming experience to undertake this course, and will not learn a specific programming language - however Python will be used for demonstrations. This course will focus on learning by working through realistic examples.
Syllabus
- Appreciate the software needs of an IoT project
- Understand how data is managed in an IoT network
- Apply software solutions for different systems and Big Data to your IoT concept designs
- Create Python scripts to manage large data files collected from sensor data and interact with the real world via actuators and other output devices.
Instructors
Iain Murray AM
Professor and Curtin Academy Fellow
Curtin University
Siavash Khaksar
Academic
Curtin University
Content Designer

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Très orienté pratique. Durée (20h) conséquente. Permet de comprendre comment on peut facilement récupérer les données de capteurs ou agir sur eux par un langage à la mode (python). Par contre l’aspect Big Data mentionné dans le titre semble traité uniquement sous l’angle filtrage et pas au niveau stockage (base de données).


Très orienté pratique. Durée (20h) conséquente. Permet de comprendre comment on peut facilement récupérer les données de capteurs ou agir sur eux par un langage à la mode (python). Par contre l’aspect Big Data mentionné dans le titre semble traité uniquement sous l’angle filtrage et pas au niveau stockage (base de données).