'A Level' takes maths into a new dimension and consisits of three parts.

AS-Level Modules in Year 12, three AS modules are taken: Core Mathematics 1, Core Mathematics 2, and Mechanics 1 or Statistics. The core maths modules extend and develop GCSE work on algebra, trigonometry and series. Surds and indices are extended, including the relationship between logarithms and indices. Differential and integral calculus are introduced. The mechanics (what used to be the old applied maths) deals with physical forces and their relation to motion or equilibrium, essential for would be engineers. Alternatively to mechanics is the option of statistics the idea of which is often meet with horror. However in this current age an understanding of statistics is almost obligatory and is essential for biologist and those in intending to go into research or the business world. The AS-Level is a qualification in its own right and counts for points to university entrance.

A2 Modules this is necessary to qualify for the full A-Level, students take two more core maths modules and a statistics module in Year 13. In core maths they study further functions and calculus techniques, differential equations, and three-dimensional vectors. Statistics includes representation of data, probability distributions and measures of correlation. Anybody wishing to take up any of the scientific disciplines A-Level maths is a must as well as those who want to go into the financial and business world.

Further Mathematics this offers opportunities to extend A-Level work on mechanics, statistics and calculus techniques through concepts of abstract algebra, mathematical techniques such as developing an algorithmic approach to problem-solving. In addition is the subject of 'Decision' maths. The most common combination would be the Pure papers P1 to P6, two Statistics units and four Mechanics papers, although, of course, other combinations are possible. It is reckoned that only those achieving A or A* at GCSE should attempt further maths but those with only a B or even a C could make the grade with effort. Useful for those who intend going on to study Maths, Physics or Engineering at university but you could find yourself repeating most of it there as the university course may have to cater for those who did not do it. Still for oversubscribed courses it could be the deciding factor in getting a place.

These topics may not cover all the requirements of the various examination bodies AQA, EDEXCEL, OCR, WJEC or NICCEA but probably most of it. Any topic not found here and required can probably be catered for. A scientific calculator, one that can draw trig and exponential graphs is required to study A level. Forget the augment that A level is dumbing down, many of the topics covered here were not even approached until degree level in those supposed halcyon days of the 50s and 60s. Many of the questions in today's exams could also have come out of the exam papers of that time. True after the high failure rate and poor passes in 2001/2002 some of the 'harder' subjects were made optional and greater emphasis given to the core pure maths but some of the 'harder' subjects were perhaps a step too far. What is different to the 'old' is that instead or taking all the papers at the end of the second year they can now be taken as you go along and repeated to improve the grade. This is probably a fairer way.



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Algebra
To simplify rational expression and partial fractions

Binomial theorem
Expansion for a rational integer

Coordinate geometry
Curve sketching in Cartesian and parametric form

Trigonometry (1)
Acute angles negative angles in radians and degrees

Trigonometry (2)
Graphs of trig functions, symmetries and periodicities

Exponentials and logarithms
Exp(x) log(x ) (to base e) and related functions

Differentiation (1)
Differentiation of trig and log functions

Differentiation (2)
Applications for Graphs maxima and minima

Differentiation (3)
The product and Quotient rules

Differentiation (4)
Natural Log and exponential functions

Integration (1)
By substitution

Integration (2)
Change of variable for trig functions

Integration (3)
Exponential functions

Integration (4)
Natural Log integrals and using substitution

Integration (5)
Trigonometric substitution

Integration (6)
Volume of revolution and area of surface of revolution

Integration (7)
Integration by parts

Series
The Sigma notation, arithmetic and geometric progressions

Functions
Evaluate and find the inverse of a function

Surds
Add, subtraction, multiple, division and Rationalising

The Binomial Series
Expansion of and Pascal's triangle

Long Division of Polynomials
Dividing by a lower order polynomial

Inequalities
Multiplying or dividing by, negative quantity

The remainder theorem
p(x) divided by (x-a) to find the remainder p(a)

Partial Fractions
To split into two or more fractions

Simultaneous equations
Solution of simultaneous equations

Logarithms
Adding and subtraction, changing base

Numerical methods (1)
Approximation by the Newton-Raphson method

Numerical methods (2)
Simpson’s rule

Differential equations
First order solving

Vectors
Use unit, position and displacement vetors

Complex Numbers
Addition and subtraction multiplication De Moivre's Theorem

Permutations and Combinations
Arrangements and other permutations n!(n factorial)

Continuous random variables
Probability distributions

Estimation and sampling
Distinguishing between sampling techniques

Hypothesis testing
Type I and Type II errors, critical z-values

Normal distribution
Properties of

The binomial distribution
Properties of

The poisson distribution
Properties of

Confidence intervals; the t-distribution
Difference of population means

chi (X2) tests
Goodness of fit tests

Regression and correlation
Linear best line of fit and correlation coefficient

Newton's laws of motion
conservation of momentum, acceleration

Kinematics'
Projectiles, variable acceleration

Centres of mass
Finding cm in one and two dimensions. Solid of rotation

Energy, work, power
kinetic and potential energy, masses on inclines

Collisions
Conservation of momentum, loss of energy in collision

Simple harmonic motion
Definitions maximum speed and maximum acceleration

Kinematics in two and three dimensions
Collisions between spheres

Uniform circular motion
Angular speed and centripetal force.

Elastic springs and strings
Hook’s law, energy in a spring

Motion in a circle
In a horizontal circle, banked tracks

Equilibrium of a rigid body
Balances and leaning ladders

Variable acceleration
Using differential equations

Coefficient of restitution
Bouncing balls

Game theory
Zero-sum game, play safe strategies.

Flows in a network
Bottlenecks, cuts and variations.

Critical path analysis
Organising a event to minimise time, Gantt diagrams

Recurrence relations
Solving first order linear recurrence relations

Coding
Binary code and hamming distance and error detection

Matrices
Definitions, addition, sub, multiple, solve linear equations