A complete IBDP Computer Science Data Cleaning lesson designed to make data preprocessing clear, practical, and engaging. The resource covers missing data, duplicates, outliers, incorrect and irrelevant data, inconsistent formatting, normalization and standardization, with clear explanations, visual examples, Python applications, and student activities. Ideal for teaching IBDP Computer Science Machine Learning and Data Preprocessing.

A complete IBDP Computer Science Machine Learning Hardware Requirements lesson designed to make specialised ML hardware clear and accessible. Covers CPUs, GPUs, ASICs, FPGAs and HPC centres, including their roles, advantages, limitations and suitability for machine learning applications. Includes clear explanations, visual comparisons, real-world examples and student activities.

Struggling to teach one of the hardest IB CS topics? This complete, no-prep lesson breaks down complex HL concepts into clear, exam-ready explanations. ✔ Covers ALL data mining techniques (regression, classification, clustering, association rules, anomaly detection, sequential patterns) ✔ Full OLAP (data cubes, drill-down, roll-up, slice, dice) ✔ Distributed databases (ACID, consistency, concurrency, replication, scalability) ✔ IB-style exam questions ✔ Designed for Band 7 answers Perfect for teaching, revision, or boosting struggling students. Save hours of planning and teach with confidence.