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.

IB DP Computer Science A1.2 Complete Bundle for the new 2027 syllabus. Includes all five A1.2 lessons with lesson presentations, student worksheets, activities, questions and answers. IB Computer Science 2027 – A1.2 Data Representation and Computer Logic A complete classroom-ready resource bundle for IB Diploma Programme Computer Science, aligned with the new IB Computer Science syllabus for first assessment in May 2027. This bundle covers the complete A1.2 Data Representation and Computer Logic section. What is included Five complete lessons: A1.2.1 Representing Data A1.2.2 How Binary Is Used to Store Data A1.2.3 Logic Gates A1.2.4 Truth Tables A1.2.5 Logic Diagrams Each lesson includes: Lesson presentation Student worksheet Classroom activities Student tasks Questions to check understanding Answer materials Syllabus coverage A1.2 Data Representation and Computer Logic The bundle provides a complete teaching sequence covering data representation, binary data, digital logic, truth tables and logic diagrams. Students develop their understanding of: Representing data using binary and hexadecimal How binary is used to store different types of data AND, OR, NOT, NAND, NOR, XOR and XNOR logic gates Constructing and analysing truth tables Constructing and interpreting logic diagrams Translating between Boolean expressions, truth tables and logic diagrams Analysing digital logic circuits Suitable for IB Diploma Programme Computer Science SL and HL New 2027 syllabus First assessment May 2027 Secondary students aged 16–18 This bundle can be used as a complete teaching sequence for A1.2 or alongside an existing IB Computer Science scheme of work. Why buy the bundle? The five individual lessons are also available separately. This bundle provides the complete A1.2 section at a discounted price. Please note: This is an original teaching resource and is not affiliated with or endorsed by the International Baccalaureate Organisation.