IB Computer Science 2027 – A4 Machine Learning – Complete Bundle (17 lessons)

A complete, ready-to-teach bundle for IB Computer Science (first assessment 2027): Machine learning, in 17 bespoke lessons written for the new syllabus.

Every lesson comes with:

• Editable PowerPoint slides – goals, starter, explanations, worked examples, a task and an exit ticket, with teacher notes
• Student worksheet (Word) – structured questions that build from recall to exam-style application
• Answer sheet (Word) – full model answers for quick marking or self-assessment

Worth £84.83 if bought lesson by lesson.

What’s inside

A4.1 Machine learning fundamentals

• A4.1.1 Machine learning approaches
• A4.1.2 Hardware for machine learning

A4.2 Data preprocessing (HL only)

• A4.2.1 Data cleaning
• A4.2.2 Feature selection
• A4.2.3 Dimensionality reduction

A4.3 Machine learning approaches

• A4.3.1 Linear regression
• A4.3.2 Classification: k-NN and trees
• A4.3.3 Evaluating and tuning models
• A4.3.4 Clustering
• A4.3.5 Association rule learning
• A4.3.6 Reinforcement learning (HL)
• A4.3.7 Genetic algorithms (HL)
• A4.3.8 Artificial neural networks (HL)
• A4.3.9 Convolutional neural networks (HL)
• A4.3.10 Choosing an ML model

A4.4 Ethical considerations

• A4.4.1 Ethics of machine learning
• A4.4.2 Ethics of emerging technologies

Why teachers use it

• Mapped code by code to the 2027 IB CS guide, so coverage is easy to track
• SL and HL content clearly labelled
• Fully editable – adapt to your class, timings and school template
• Works for teaching, revision, cover lessons and homework