Year 9 - Computing
Gathering data for a model
Machine learning using the micro:bit
Study Hub
Study Guides
This pupil-friendly study guide includes a unit summary, clear notes, common mistakes, and quick questions with answers.
Unit Summary
This unit is designed to develop pupils programming skills in a new engaging context: physical computing, using the BBC micro:bit. They will get acquainted with the host of components built into the micro:bit, and write simple programs that use these components to interact with the physical world.
Lesson Summary
You will learn to record and label movement data.
Key Notes
- The first step in a data-driven approach to problem solving is to decide what data is needed.
- A data-driven application requires a large number of data samples.
- Samples are labelled to create classes and can be used to train a model, which represents something in the real world.
Vocabulary To Learn
- sample: a single set of data used for training or testing
- class: a category or label given to samples
- model: a system that uses patterns in data to represent something in the real world and can be used to make predictions
Common Mistakes To Avoid
- The micro:bit understands movement like a human does.
3 Quick Questions (With Answers)
1. Describe the system or process from this lesson in clear steps.
The first step in a data-driven approach to problem solving is to decide what data is needed. A data-driven application requires a large number of data samples.
2. Define this computing term and give one practical example. 'sample'
a single set of data used for training or testing. Add one real device or system example to prove understanding.
3. Correct this common computing misconception.
Mistake: The micro:bit understands movement like a human does. Correction: The micro:bit records numbers (x, y, z acceleration) that are then interpretted using programmed instructions.
More Lessons In This Unit
Browse all guides in the Year 9 Computing guide library.