Computational Mathematics
Nine topics — algebra, sets and functions, trigonometry, calculus, numerical precision, descriptive statistics, basic probability, matrices, and solid geometry — each broken into short lessons with examples and practice.
Basic Concepts of Algebra
Variables, expressions, equations, indices, solving linear equations and inequalities.
Sets and Functions
Set notation, Venn diagrams, functions, domain and range.
Trigonometry
Right-angled triangles, Pythagoras' theorem, sine, cosine and tangent.
Calculus
Differentiation and integration, built from first principles.
Numerical Precision, Accuracy and Errors
Rounding, significant figures, accuracy vs precision, and error types.
Descriptive Statistics
Averages, spread, frequency tables, charts, and comparing data sets.
Basic Probability
Simple probability, combined events, tree diagrams, and expected frequency.
Matrices and Determinants
Matrix operations, multiplication, and determinants.
Introduction to Solid Geometry
Surface area and volume of 3D solids.
Recap and Practice
A simple recap of Sections A–G with worked examples, then a practice paper with full answers.