# How to prepare for A-Level Maths

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#1
I'm in year 11 and was wondering what topics play a huge part in the subject. I was also wondering how hard further maths is, I'm rather worried since many people have said normal maths may is much more difficult than GCSE. I've started doing some work from textbooks but very little.
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1 year ago
#2
All you have to do is bend over
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1 year ago
#3
Further maths is hard but is doable so if you are planning to study maths/physics/computing/engineering/economics at university I would highly recommend you take it as it will make your life easier when you start university.
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1 year ago
#4
For maths, the main topics include: proof, circle geometry, equations of lines, algebra(!!), trigonometry, differentiation and integration, mechanics and statistics
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1 year ago
#5
If you didn't do it at GCSE have a look at GCSE Further Maths - it will make normal AS Maths so much easier
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1 year ago
#6
For A-level students, the 'make or break' skill tends to be algebraic manipulation.

Things like being able to easily and without much thought..
- solve equations involving brackets
- complete the square
- factorise into double brackets
- solve equations involving algebraic fractions
- solve equations with unknowns on both sides
- solve equations involving square/cube rooting
- solving linear inequalities

Some other GCSE skills that I notice tripping students up that there isn't really time to reteach at A-level:
- surds
- finding the equation of a straight line given two points or gradient and a point
- having an idea of what a graph will look like from its equation
- function notation
- knowing sin / cos / tan graphs and understanding why they look that way

Most people do find it quite a jump, however those who take to it well are usually those with a good instinct for algebra manipulation, from what I've seen.
1
1 year ago
#7
Proof
Algebra and Functions
Coordinate geometry in the (x, y) plane
Sequences and series
Trigonometry
Exponentials and logarithms
Differentiation
Integration
Numerical methods
Vectors

Statistical sampling - statistics
Data presentation and interpretation - statistics
Probability - statistics
Statistical distributions - statistics
Statistical hypothesis testing - statistics
Quantities and units in mechanics - mechanics
Kinematics - mechanics
Forces and Newton's Laws - mechanics
Moments
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