• Length:
    7 Weeks
  • Effort:
    2–4 hours per week
  • Price:

    FREE
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  • Institution
  • Subject:
  • Level:
    Intermediate
  • Language:
    English
  • Video Transcript:
    English
  • Course Type:
    Self-paced on your time

About this course

Skip About this course
This course by Imperial College London is designed to help you develop the skills you need to succeed in your A-level maths exams.
The course is most appropriate to the Edexcel, AQA, OCR and OCR(MEI) papers. You will investigate key topic areas to gain a deeper understanding of the skills and techniques that you can apply throughout your A-level study. These skills include:
  • Fluency – selecting and applying correct methods to answer with speed and efficiency
  • Confidence – critically assessing mathematical methods and investigating ways to apply them
  • Problem solving – analysing the ‘unfamiliar’ and identifying which skills and techniques you require to answer questions
  • Constructing mathematical argument – using mathematical tools such as diagrams, graphs, logical deduction, mathematical symbols, mathematical language, construct mathematical argument and present precisely to others
  • Deep reasoning – analysing and critiquing mathematical techniques, arguments, formulae and proofs to comprehend how they can be applied
Over seven modules, covering an introduction to functions and their notation, sequences and series and numerical methods testing your initial skillset will be extended to give a clear understanding of how background knowledge underpins the A-level course.

You’ll also be encouraged to consider how what you know fits into the wider mathematical world.

What you'll learn

Skip What you'll learn
By the end of this course, you'll be able to: 
  • Define a mapping and a function
  • Define the domain and range for a function
  • Combine functions to create a composite function
  • Find the inverse of a function
  • Define a sequence using an nth term formula and an inductive definition
  • Define an arithmetic and a geometric sequence
  • Use sigma notation to define a series
  • Expand a binomial expression for both a positive integer index and for an index which is not a positive integer
  • Use radians as a measure of angle
  • Find arc lengths, areas of sectors and areas of segments on circles where angles are in radians
  • Use small angle approximations for sine, cosine and tangent functions
  • Find multiple solutions to trigonometric equations
  • Use the reciprocal trigonometric functions
  • Use the inverse trigonometrical functions
  • Use trigonometrical identities
  • Derive and use the trapezium rule to find the area under a curve
  • Approximate the root of an equation using a sign change method
  • Approximate the root of an equation using the Newton-Raphson method
  • Approximate the root of an equation by fixed point iteration
Module 1: Algebra and Functions
  • The difference between a mapping and a function
  • Function notation
  • Domain and range of a function
  • Composition of functions
  • Inverse functions
Module 2: Sequences and Series 1
  • How to define a sequence by an nth term rule
  • How to define a sequence by an inductive rule
  • Arithmetic sequences
  • Geometric sequences
  • The sum of n terms of an arithmetic and a geometric sequence
  • Series and the sigma notation
Module 3: Sequences and Series 2
  • The binomial expansion for positive integer n
  • The general binomial expansion
  • Properties of sequences
Module 4: Trigonometry 1
  • Radian measure
  • Circle calculations
  • Small angle approximations
  • Circular functions
Module 5: Trigonometry 2
  • The reciprocal trigonometric functions
  • Inverse trigonometric functions
  • Addition and double angle formulae
  • Trigonometric identities
Module 6: Numerical Methods 1
  • An introduction to numerical methods
  • The trapezium rule
  • Numerical solution of equations
Module 7: Numerical Methods 2
  • The Newton-Raphson method
  • Fixed point iteration

Meet your instructors

Philip Ramsden
Dr
Imperial College London
Phil Chaffe
Mr
Mathematics in Education and Industry (MEI)

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