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

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 Markets of Today (edX) EdX
Delft University of Technology,DelftX

Energy Markets of Today (edX)

Understand the European energy market and the economic principles behind it. This course will help you understand the functioning of energy markets as the necessary first step to promotion of the energy transition. By using the European electricity market as an example, you will obtain a deeper understanding of its principles and effectiveness.

Mar 12th 2024
5-12 Weeks
Introduction to Statistics: Descriptive Statistics (edX) EdX
University of California, Berkeley,BerkeleyX

Introduction to Statistics: Descriptive Statistics (edX)

An introduction to descriptive statistics, emphasizing critical thinking and clear communication. We are surrounded by information, much of it numerical, and it is important to know how to make sense of it. Stat2x is an introduction to the fundamental concepts and methods of statistics, the science of drawing conclusions from data.

No sessions available
4 Weeks
Energy-The Technology You Must Know in the 21st Century | 能源─21世紀你必須了解的科技! (edX) EdX
OECx

Energy-The Technology You Must Know in the 21st Century | 能源─21世紀你必須了解的科技! (edX)

A comprehensive introduction to existing and emerging energy technologies and their applications. (Taught in Mandarin). Energy technology is a highly multidisciplinary subject, which extends from engineering (e.g. mechanical, chemical, civil, environmental and electrical) to economy and ecology.

No sessions available
4 Weeks
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
Foundations of Data Analysis - Part 1: Statistics Using R (edX) EdX
University of Texas at Austin,UTAustinX

Foundations of Data Analysis - Part 1: Statistics Using R (edX)

This is a hands on course with a data lab to teach fundamental statistical topics such as descriptive statistics, inferential testing, and modeling. In this first part of a two part course, we’ll walk through the basics of statistical thinking – starting with an interesting question. Then, we’ll learn the correct statistical tool to help answer our question of interest – using R and hands-on Labs.

No sessions available
5-12 Weeks
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
Calculus 1C: Coordinate Systems & Infinite Series (edX) EdX
MIT,MITx

Calculus 1C: Coordinate Systems & Infinite Series (edX)

Master the calculus of curves and coordinate systems; approximate functions with polynomials and infinite series. Part 3 of 3. How did Newton describe the orbits of the planets? To do this, he created calculus. But he used a different coordinate system more appropriate for planetary motion. We will learn to shift our perspective to do calculus with parameterized curves and polar coordinates. And then we will dive deep into exploring the infinite to gain a deeper understanding and powerful descriptions of functions.

Feb 15th 2023
13-24 Weeks
Energy Economics and Policy (edX) EdX
MIT,MITx

Energy Economics and Policy (edX)

Learn the economics of real-world energy markets, and how various policies can address the impact of rising global energy demand on the environment and climate. With renewable sources playing an increasing role in meeting global energy demand and mitigating climate change, electric power systems and the related markets are changing. To prepare for a career in the future energy landscape, industry professionals, policymakers, and academics must understand these changes and develop specific, relevant skills to drive this energy transition within the necessary timeframe. In this course, you will learn to apply economic and socio-political analysis to real-world regulatory policy questions in a set of extremely important, interrelated energy markets.

Sep 17th 2024
5-12 Weeks
Data Analysis: Statistical Modeling and Computation in Applications (edX) EdX
MIT,MITx

Data Analysis: Statistical Modeling and Computation in Applications (edX)

A hands-on introduction to the interplay between statistics and computation for the analysis of real data. -- Part of the MITx MicroMasters program in Statistics and Data Science. Data science requires multi-disciplinary skills ranging from mathematics, statistics, machine learning, problem solving to programming, visualization, and communication skills. In this course, learners will combine these foundational and practical skills with domain knowledge to ask and answer questions using real data.

May 13th 2024
13-24 Weeks