IB Computer Science 2027 – A4 Machine Learning – Complete Lesson & Worksheet Bundle

IB DP Computer Science Topic A4 Machine Learning complete lesson and worksheet bundle for the new 2027 syllabus. A comprehensive collection of classroom-ready resources covering machine learning fundamentals, data preprocessing, machine learning approaches and ethical considerations.

IB Computer Science 2027 – A4 Machine Learning

A complete teaching bundle for IB Diploma Programme Computer Science, aligned with the new IB Computer Science syllabus for first assessment in May 2027.

This bundle brings together the full set of Topic A4 Machine Learning lesson resources, providing a structured collection of presentations, worksheets, activities and answers.

What is included

• Lesson presentations
• Student worksheets
• Classroom activities
• Student tasks
• Questions to check understanding
• Mark schemes / answers

Syllabus coverage

A4.1 Machine Learning Fundamentals

• A4.1.1 Types of Machine Learning
• A4.1.2 Hardware Required for Machine Learning

A4.2 Data Preprocessing – HL only

• A4.2.1 / A4.2.2 Data Cleaning & Feature Engineering
• A4.2.3 Dimensionality Reduction

A4.3 Machine Learning Approaches

• A4.3.1 Linear Regression
• A4.3.2 Supervised Learning – Classification
• A4.3.3 Model Evaluation & Hyperparameters
• A4.3.4 / A4.3.5 Unsupervised Learning
• A4.3.6 / A4.3.7 Reinforcement Learning
• A4.3.8 Artificial Neural Networks
• A4.3.9 Convolutional Neural Networks
• A4.3.10 Model Selection & Comparison

A4.4 Ethical Considerations

• A4.4.1 / A4.4.2 Ethics of Emerging Technologies

Suitable for

• IB Diploma Programme Computer Science
• SL and HL
• New 2027 syllabus
• First assessment May 2027
• Secondary students aged 16–18

This bundle provides a complete set of teaching resources for Topic A4 and can be used as the foundation of an entire Machine Learning unit.

Please note: These are original teaching resources and are not affiliated with or endorsed by the International Baccalaureate Organisation.