EdX

Further Mathematics Year 13 course 2: Applications of Differential Equations, Momentum, Work, Energy & Power, The Poisson Distribution, The Central Limit Theorem, Chi Squared Tests, Type I and II Errors (edX)

Further Mathematics Year 13 course 2: Applications of Differential Equations, Momentum, Work, Energy & Power, The Poisson Distribution, The Central Limit Theorem, Chi Squared Tests, Type I and II Errors (edX)

Develop your thinking skills, fluency and confidence in the applied mathematics content of A-level further maths and prepare for undergraduate STEM degrees. This course by Imperial College London is designed to help you develop the skills you need to succeed in your A-level further maths exams. 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.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

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 eight modules, you will be introduced to

  • Simple harmonic motion and damped oscillations.
  • Impulse and momentum.
  • The work done by a constant and a variable force, kinetic and potential energy (both gravitational and elastic) conservation of energy, the work-energy principle, conservative and dissipative forces, power.
  • Oblique impact for elastic and inelastic collision in two dimensions.
  • The Poisson distribution, its properties, approximation to a binomial distribution and hypothesis testing.
  • The distribution of sample means and the central limit theorem.
  • Chi-squared tests, contingency tables, fitting a theoretical distribution and goodness of fit.
  • Type I and type II errors in statistical tests.

Your initial skillset will be extended to give a clear understanding of how background knowledge underpins the A -level further mathematics course. You’ll also be encouraged to consider how what you know fits into the wider mathematical world.

What you'll learn

  • How to derive and solve a second order differential equation that models simple harmonic motion.
  • How to derive a second order differential equation for damped oscillations.
  • The meaning of underdamping, critical damping and overdamping.

Syllabus

Module 1: Applications of Differential Equations
Using differential equations in modelling in kinematics and in other contexts.
Hooke’s law.
Simple harmonic motion (SHM).
Damped oscillatory motion.
Light, critical and heavy damping.
Coupled differential equations.
Module 2: Momentum and Impulse
Momentum and the principle of conservation of momentum.
Impulse.
Newton’s experimental law (restitution)
Impulse for variable forces.
Module 3: Work, Energy and Power
The work-energy principle.
Conservation of mechanical energy.
Gravitational potential energy and kinetic energy.
Elastic potential energy.
Conservative and dissipative forces.
Power
Module 4: Oblique Impact
Modelling elastic collision in two dimensions.
Modelling inelastic collision in two dimensions.
The kinetic energy lost in a collision.
Module 5: Expectation and Variance and the Poisson Distribution
The Poisson distribution.
Properties of the Poisson distribution.
Approximating the binomial distribution.
Testing for the mean of a Poisson distribution.
Module 6: The Central Limit Theorem
The distribution of a sample mean.
Underlying normal distributions.
The Central Limit Theorem.
Module 7: Chi-Squared Tests
Chi-squared tests and contingency tables.
Fitting a theoretical distribution.
Testing for goodness of fit.
Module 8: Type I and Type II Errors
What are type I and type II errors?
A summary of all probability distributions encountered in A level maths and further maths.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Linear Algebra IV: Orthogonality & Symmetric Matrices and the SVD (edX) EdX
Georgia Institute of Technology,GTx

Linear Algebra IV: Orthogonality & Symmetric Matrices and the SVD (edX)

This course takes you through roughly five weeks of MATH 1554, Linear Algebra, as taught in the School of Mathematics at The Georgia Institute of Technology. In the first part of this course you will explore methods to compute an approximate solution to an inconsistent system of equations that have no solutions. Our overall approach is to center our algorithms on the concept of distance.

Self Paced
Self-Paced
Advanced Linear Algebra: Foundations to Frontiers (edX) EdX
University of Texas at Austin,UTAustinX

Advanced Linear Algebra: Foundations to Frontiers (edX)

Learn advanced linear algebra for computing. Linear algebra is one of the fundamental tools for computational and data scientists. In Advanced Linear Algebra: Foundations to Frontiers (ALAFF), you will build your knowledge, understanding, and skills in linear algebra, practical algorithms for matrix computations, and the analysis of the effects of floating-point arithmetic as performed by computers.

Self Paced
Self-Paced
Effective Thinking Through Mathematics (edX) EdX
University of Texas at Austin,UTAustinX

Effective Thinking Through Mathematics (edX)

Learn tools of effective thinking through puzzles and mathematics in this fun and fascinating course. A wondrously romantic belief is that brilliant thinkers magically produce brilliant ideas: Einstein jostles his hair and relativity falls out. We can enjoy these fanciful visions of leaps of genius, but we should not be fooled into believing that they’re reality.

Self Paced
Self-Paced
Crafting Realities: Work, Happiness, and Meaning (edX) EdX
Indian Institute of Management, Bangalore,IIMBx

Crafting Realities: Work, Happiness, and Meaning (edX)

Learn to create and experience your work as a joyful and meaningful activity - for yourself and others. This course draws upon positive psychology, neuroscience, sociology, and philosophy to guide participants in proactively crafting their own work experience. It weaves inputs from these various fields into a series of lectures and experiential exercises.

Self Paced
Self-Paced
Bases Matemáticas: Derivadas (edX) EdX
Universitat Politècnica de València,UPValenciaX

Bases Matemáticas: Derivadas (edX)

Curso básico sobre funciones y sus derivadas, incluyendo sus aplicaciones a la resolución de problemas. Este curso se concibe como una revisión de los conceptos básicos del cálculo diferencial, necesarios para los primeros cursos de aquellos estudios universitarior en los que se imparte matemáticas.

Self Paced
Self-Paced
Electric Cars: Policy (edX) EdX
Delft University of Technology,DelftX

Electric Cars: Policy (edX)

Learn about the role of public policy in steering technological innovation and infrastructural change toward zero-emission mobility. Electric cars are more than a novel means of mobility. They have been recognized as an essential building block of the energy transition. Fulfilling their promise will imply a significant change in the technical, digital and social dimensions of transport and energy infrastructure.

Self Paced
Self-Paced
Aplicaciones de la Teoría de Grafos a la vida real (I) (edX) EdX
Universitat Politècnica de València,UPValenciaX

Aplicaciones de la Teoría de Grafos a la vida real (I) (edX)

Aprenderemos a modelizar problemas del mundo real mediante su representación con grafos y a resolverlos mediante sus algoritmos asociados. Este curso trata la Teoría de Grafos desde el punto de vista de la modelización, lo que nos permitirá con posterioridad resolver muchos problemas de diversa índole. Presentaremos ejemplos de los distintos problemas en un contexto real, analizaremos la representación de éstos mediante grafos y veremos los algoritmos necesarios para resolverlos.

Self Paced
Self-Paced
Algèbre Linéaire (Partie 2) (edX) EdX
École Polytechnique Fédérale de Lausanne,EPFLx

Algèbre Linéaire (Partie 2) (edX)

Un MOOC francophone d'algèbre linéaire accessible à tous, enseigné de manière rigoureuse et ne nécessitant aucun prérequis. Vous voulez apprendre l'algèbre linéaire, un précieux outil complémentaire à vos connaissances acquises durant vos études en économie, ingénierie, physique, ou statistique? Ou simplement pour la beauté de la matière? Alors ce cours est fait pour vous!

Self Paced
Self-Paced
Cours préparatoire: Fonctions trigonométriques, logarithmiques et exponentielles (edX) EdX
École Polytechnique Fédérale de Lausanne,EPFLx

Cours préparatoire: Fonctions trigonométriques, logarithmiques et exponentielles (edX)

Ce cours donne les connaissances fondamentales liées aux fonctions trigonométriques, logarithmiques et exponentielles. Le cours propose une approche très détaillée et précise des notions fondamentales liées aux fonctions trigonométriques, logarithmiques et exponentielles.

Self Paced
Self-Paced
Energy Subsidy Reform (edX) EdX
International Monetary Fund - IMF,IMFx

Energy Subsidy Reform (edX)

A course on energy subsidies, their costs, and the design of a successful reform based on country case studies. In the first part of the course, economists from the IMF will introduce the definition and measurement of subsidies, and then describe the economic, social, and environmental implications of subsidies.

Self Paced
Self-Paced