Mathematics
Dunraven School
Course summary
The new A-level Mathematics is a linear course with three terminal papers. Two thirds of the content will be on Pure Core units which provide the techniques in Algebra, Geometry, Trigonometry and Calculus that form the fundamental building blocks of the subject. Mathematical applications make up the remaining third of the qualification, where students will focus on mechanics and statistics. Mechanics is the study of forces, energy and motion and statistics has a focus on probability, data handling and testing hypotheses.
Entry Requirements
Checked against your grades — every rule traces to the school's published source.
| Requirement | Rule | You |
|---|---|---|
Mathematics | Grade 7 in Mathematics | — |
English Language | Grade 5 in English Language | — |
Mathematics | Grade 5 in Mathematics | — |
English Literature Alternative route | Grade 5 in English Literature | — |
Mathematics Alternative route | Grade 5 in Mathematics | — |
As published by the school
Grade 7 in GCSE Maths The ability to apply themselves steadily throughout the course: there is consistent demand to build up hierarchical concepts almost daily. The desire to make sense of mathematical text, and building new concepts rather than just reproducing algorithms. The ability to present solutions clearly and concisely, and to extend their own thinking within a logical framework. Persistence is crucial, as harder problems will often require several attempts before a way in is identified.
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Assessment
All three papers are of equal weighting and are assessed by an exam of 2 hours each. Paper 1: Pure core content - proof, algebra and functions, coordinate geometry, sequences and series, trigonometry, exponentials and logarithms, differentiation, integration and numerical methods Paper 2: Pure core and mechanics - any of the above from paper 1 alongside vectors, kinematics, forces and Newton’s laws and moments. Paper 3: Pure core content and statistics - any of the above from paper 1 alongside statistical sampling, data presentation and interpretation, probability, distributions and hypothesis testing.
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