Manipulation, sequences, logarithms, proof, and the prerequisites that later topics depend on.
Representations, transformations, interpretation, and choosing a model that fits the context.
Geometry and trigonometry
Diagrams, vectors, spatial reasoning, identities, and multi-step applications.
Statistics and probability
Selecting methods, using technology appropriately, interpreting output, and communicating conclusions.
Conceptual meaning, fluent techniques, graph behaviour, optimisation, and differential-equation applications.
Paper-specific timing, complete working, notation, calculator fluency, and learning from markschemes.