Mathematics AI
Applications and Interpretation — modelling, technology, and real-world problem solving.
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Number and Algebra
Start here → ~30 min readScientific notation, sequences and series, financial maths, logarithms in real-world contexts.
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Functions
~35 min readModelling with linear, quadratic, exponential, and sinusoidal functions. Graph interpretation in context.
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Geometry and Trigonometry
~30 min readMensuration, trigonometric rules, Voronoi diagrams, bearings, and practical geometry problems.
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Statistics and Probability
~45 min readDescriptive stats, probability, normal distribution, chi-squared tests, regression, and GDC techniques.
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Calculus
~30 min readDifferentiation, optimization, integration as area, trapezoidal rule, and real-world applications.
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Internal Assessment — Mathematical Exploration
~35 min readIB Math AI SL IA guide: assessment criteria A–E, topic ideas, common pitfalls, and a model exploration structure.