Editing Standard Level

=Mathematics Standard Level=
This is a far more managable course than it's Higher Level brother. 

The SL course consists of:

===Algebra===
o Linear equations

o Linear inequalities

o Straight-line graphs

o Simultaneous linear equations

o Factorisation

o Quadratic equations

o Completing the square

o Quadratic formula

o Disguised quadratic equations

o Sketching the graph of a quadratic function

o Algebraic fractions


===Circular functions and trigonometry===
o Triangles

o Radian measure

o The functions of sin, cos and tan

o Sine and Cosine rules

===Functions and equations===
o Transforming the graph of a function

o Mappings

o Composite Functions

o Inverse Functions

===Differentiation 1===
o Gradient of a curve

o The derivative of y = ax^n

o Sum of difference of two functions

o The second derivative

o Tangents and normals to a curve

o Gradient as a rate of change

o Maximum, minimum and point of inflexion

o Practical applications of maxima and minima

===Intergration===
o Anti-differentiation

o Variable acceleration

o Area under a curve

o Volume of revolution about the x-axis

===Sequences and series===
o Sequences

o Series and sigma notation

o Arithmetic sequences

o Geometric sequences

o Infinite geometric sequences

o Binominal expansions

===Differentiation 2===
o Funtion of a function

o The product and quotient rules

o Applications of differentiation

===Further Trigonometry===
o The functions sin x, cos x, tan x

o Trigonometric equations

o Double angles

===Calculus with Trigonometry===
o Sin x and cos x

o Differentiating tan x

o Applications

===Exponents and Logarithms===
o Negative and fractional exponents

o Surds

o Logarithms

o The exponential function

There is a critical shortage of informative airtcels like this.

===Matrices===
o Introduction to matrices

o Matrix multiplication

o 2x2 matrices

o 3x3 matrices

===Vectors===
o Introduction

o Addition and subtraction of vectors

o Position vectors

o The scalar product

o Vector equation of a line

o Applications of vectors

===Probability===
o Combined events

o Conditional probability

===Statistics===
o Population and samples

o Diagrammatic representation of data

o Mode, Median and mean

o Measures of dispersion

o Cumulative frequency

o Histograms

o Random Variables

o The binomial distribution

o The normal distribution