Version 1.0, 17 October 2026 · 329 pages · PDF · CC BY-NC-ND 4.0
Chapters
- 1.Standard form, rounding, bounds and percentage errorSL 1.1, 1.6
- 2.Arithmetic and geometric sequences and seriesSL 1.2, 1.3, AHL 1.11
- 3.Financial mathematics: compound interest, depreciation, loans and annuitiesSL 1.4, 1.7
- 4.Exponents, logarithms and solving equations with technologySL 1.5, 1.8, AHL 1.9, 1.10
- 5.Complex numbers: Cartesian, polar and Euler forms and applicationsAHL 1.12, 1.13
- 6.Matrices: operations, determinants, inverses and systems of equationsAHL 1.14
- 7.Eigenvalues, eigenvectors and powers of matricesAHL 1.15
- 8.Functions, straight lines, domain, range and graphsSL 2.1, 2.2, 2.3, 2.4
- 9.Modelling with functions: linear, quadratic, exponential, variation, cubic and sinusoidalSL 2.5, 2.6
- 10.Composite and inverse functions and transformations of graphsAHL 2.7, 2.8
- 11.Models at HL: exponential, logarithmic, logistic and piecewise models; log-log and semi-log graphsAHL 2.9, 2.10
- 12.Triangles, three-dimensional geometry and applicationsSL 3.1, 3.2, 3.3
- 13.Circles, perpendicular bisectors and Voronoi diagramsSL 3.4, 3.5, 3.6
- 14.Radians, the unit circle, trigonometric identities and equationsAHL 3.7, 3.8
- 15.Matrices as geometric transformationsAHL 3.9
- 16.Vectors: components, lines, kinematics, scalar and vector productsAHL 3.10, 3.11, 3.12, 3.13
- 17.Graph theory: graphs, adjacency matrices and walksAHL 3.14
- 18.Trees and cycles: Eulerian and Hamiltonian graphs, minimum spanning treesAHL 3.15
- 19.The Chinese postman and travelling salesman problemsAHL 3.16
- 20.Data: sampling, presentation, centre and spreadSL 4.1, 4.2, 4.3
- 21.Correlation and regression: Pearson, Spearman and non-linear modelsSL 4.4, 4.10, AHL 4.13
- 22.Probability: rules, diagrams, conditional probability and independenceSL 4.5, 4.6
- 23.Discrete random variables: binomial and Poisson distributionsSL 4.7, 4.8, AHL 4.17
- 24.The normal distributionSL 4.9
- 25.Hypothesis tests: chi-squared and t-tests; designing a studySL 4.11, AHL 4.12
- 26.Linear combinations of random variables, estimators, the central limit theorem and confidence intervalsAHL 4.14, 4.15, 4.16
- 27.Hypothesis tests at HL: means, proportions, Poisson means, correlation, and type I and II errorsAHL 4.18
- 28.Markov chains and transition matricesAHL 4.19
- 29.Derivatives: gradients, polynomials, tangents and normalsSL 5.1, 5.2, 5.3, 5.4
- 30.Integration of polynomials, areas and the trapezoidal ruleSL 5.5, 5.8
- 31.Local maxima and minima and optimisationSL 5.6, 5.7
- 32.Differentiation at HL: standard derivatives, chain, product and quotient rules, related rates and the second derivativeAHL 5.9, 5.10
- 33.Integration at HL: standard integrals, areas, volumes of revolution and kinematicsAHL 5.11, 5.12, 5.13
- 34.Differential equations: setting up, separating variables, slope fields and Euler's methodAHL 5.14, 5.15, 5.16
- 35.Coupled linear systems, phase portraits and second-order differential equationsAHL 5.17, 5.18
Versions and corrections
Version 1.0, 17 October 2026: first edition, the complete course in 35 chapters with figures and a one-page summary per chapter. Every chapter checked blind by a second reader and reviewed line by line before release.
Found a mistake, however small? Write to pietro@pietromeloni.com. It gets fixed in the next version, and this page says what changed.
How to use them
Read a chapter before the worksheet on the same syllabus points, then do the worksheet without the notes. In the last week before the exam, use only the one-page summaries at the end of each chapter.
The formulas table in every chapter says what is in the formula booklet and what is not: in the exam you have the booklet, so the time goes into the second column.