Matrices and complex numbers
PlannedNumber and algebra, topic 1
Matrix algebra, eigenvalues and eigenvectors, complex numbers in every form.
PlannedIB Mathematics
Everything in AI SL, then matrices, graph theory, advanced statistics and differential equations, with a third paper.
6 packs planned.
notion by notion
Everything here is a PDF to download, notion by notion: the course, marked examples with an exercise under each, then more practice. Free opens a few marked examples; Premium opens the course, one marked example and its exercise in every sub-notion, and a practice sheet per notion; Excellence opens everything.
Matrix algebra, eigenvalues and eigenvectors, complex numbers in every form.
The course of each sub-notion: definitions, results, methods, and the notation the markscheme expects.
Each example comes with its full markscheme, mark by mark. Under it, a similar exercise to do on your own.
Further exercises in the style of Paper 1 and Paper 2, with their answers.
Logistic models, linearising data with logarithms, piecewise models.
The course of each sub-notion: definitions, results, methods, and the notation the markscheme expects.
Each example comes with its full markscheme, mark by mark. Under it, a similar exercise to do on your own.
Further exercises in the style of Paper 1 and Paper 2, with their answers.
Vectors in kinematics, adjacency matrices, minimum spanning trees, the Chinese postman and travelling salesman problems.
The course of each sub-notion: definitions, results, methods, and the notation the markscheme expects.
Each example comes with its full markscheme, mark by mark. Under it, a similar exercise to do on your own.
Further exercises in the style of Paper 1 and Paper 2, with their answers.
Confidence intervals, the Poisson distribution, hypothesis tests, transition matrices and Markov chains.
The course of each sub-notion: definitions, results, methods, and the notation the markscheme expects.
Each example comes with its full markscheme, mark by mark. Under it, a similar exercise to do on your own.
Further exercises in the style of Paper 1 and Paper 2, with their answers.
Slope fields, Euler's method, coupled systems and phase portraits.
The course of each sub-notion: definitions, results, methods, and the notation the markscheme expects.
Each example comes with its full markscheme, mark by mark. Under it, a similar exercise to do on your own.
Further exercises in the style of Paper 1 and Paper 2, with their answers.
Extended investigations of the kind set in the HL Paper 3: a context explored through several parts.
The course of each sub-notion: definitions, results, methods, and the notation the markscheme expects.
Each example comes with its full markscheme, mark by mark. Under it, a similar exercise to do on your own.
Further exercises in the style of Paper 1 and Paper 2, with their answers.
the collection
Number and algebra, topic 1
Matrix algebra, eigenvalues and eigenvectors, complex numbers in every form.
PlannedFunctions, topic 2
Logistic models, linearising data with logarithms, piecewise models.
PlannedGeometry and trigonometry, topic 3
Vectors in kinematics, adjacency matrices, minimum spanning trees, the Chinese postman and travelling salesman problems.
PlannedStatistics and probability, topic 4
Confidence intervals, the Poisson distribution, hypothesis tests, transition matrices and Markov chains.
PlannedCalculus, topic 5
Slope fields, Euler's method, coupled systems and phase portraits.
PlannedHigher Level only
Extended investigations of the kind set in the HL Paper 3: a context explored through several parts.
Planned