A collection of accessible and engaging projects for teachers and learners that utilise the more advanced features of Arduino in real-world contexts.
To introduce learners to Physical Computing, the Internet of Things and Machine Learning through engaging hands-on, real-world projects using an Arduino and peripherals.
- To understand what the Internet of Things is, and how it is enabled by embedded systems
- To understand how to connect electronic components to create physical computing projects
- To understand how Arduino devices and peripherals can be applied to solve real-world problems
- To understand the basics of data analysis and machine learning using Python
The course is a series of individual projects that build in complexity. The resources are split across Key Stages (3-5) with 3 projects per key stage.
- Key stage 3 (Middle School) - ages 11-14
- Key stage 4 (High School) - ages 14-16
- Key stage 5 (Seniors) - ages 16-18
You are free to fork or clone this material. See Licence.md for the complete license.
Arm is committed to making the language we use inclusive, meaningful, and respectful. Our goal is to remove and replace non-inclusive language from our vocabulary to reflect our values and represent our global ecosystem.
Arm is working actively with our partners, standards bodies, and the wider ecosystem to adopt a consistent approach to the use of inclusive language and to eradicate and replace offensive terms. We recognise that this will take time. This course may contain references to non-inclusive language; it will be updated with newer terms as those terms are agreed and ratified with the wider community.
Contact us at [email protected] with questions or comments about this course. You can also report non-inclusive and offensive terminology usage in Arm content at [email protected].