IB Computer Science 2027 – A4.2.3 Dimensionality Reduction – Lesson & Worksheet

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.