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More or Less: How many cows for a fiver?Friday, 2nd December 2016 16:30 - BBC Radio 4 BBC Radio 4
More or Less: How many cows for a fiver?Sunday, 4th December 2016 20:00 - BBC Radio 4 BBC Radio 4
The Secret History of Our Streets - London: Arnold CircusTuesday, 6th December 2016 22:00 - BBC Four
The Secret History of Our Streets - London: Arnold CircusThursday, 8th December 2016 00:45 - BBC Four
Colour: The Spectrum of Science: Episode 1: Colours of EarthAvailable until Saturday, 31st December 2016 23:00Dr Helen Czerski explores the golds, whites, reds, blues and much more in the first episode of the series. Read more: Colour: The Spectrum of Science: Episode 1: Colours of Earth
BBC Inside Science - 2016/2017 series: Alzheimer's research, Lucy, Glowing bandage package, Supernovas to HollywoodAvailable for over a year
The Secret History of Our Streets - London: Reverdy RoadAvailable until Saturday, 31st December 2016 01:30
All in the Mind - Autumn/Winter 2016: Pathological demand avoidance, wisdom and stand-up comedy anxietyAvailable for over a year
Human Rights Week10 December is Human Rights Day but here at The Open University we'll be exploring progress made... Read more: Human Rights Week
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Exploring equality and equity in educationThis free course, Exploring equality and equity in education, considers the complexity of social... Try: Exploring equality and equity in education now
Organisations and management accountingThis free course, Organisations and management accounting, examines the nature of organisations,... Try: Organisations and management accounting now
This free course, Analysing skid marks, is the second in the series of five courses on mathematical modelling. In it you are asked to relate the stages of the mathematical modelling process to a previously formulated mathematical model. This example, that of skid mark produced by vehicle tyres, is typical of accounts of modelling that you may see in books, or produced in the workplace. The aim of this course is to help you to draw out and to clarify mathematical modelling ideas by considering the example. It assumes that you have studied the course Modelling pollution in the Great Lakes.
After studying this course, you should be able to:
- create simple models, given a clear statement of the problem
- write down the simplifying assumptions that underpin a model
- identify the key variables and the parameters of a model
- apply the input–output principle to obtain a mathematical model, where appropriate
- obtain mathematical relationships between variables, based on or linking back to the simplifying assumptions.
Study this free course
Enrol to access the full course, get recognition for the skills you learn, track your progress and on completion gain a statement of participation to demonstrate your learning to others. Make your learning visible!
Analysing skid marks
In the first course of this series you saw how some of the stages of a mathematical modelling process can be applied in the context of modelling pollution in the Great Lakes. In this second course you are asked to relate the stages of the mathematical modelling process to another practical example, this time modelling the skid marks caused by vehicle tyres. By considering the example you should be able to draw out and clarify your ideas of mathematical modelling.
This course, the second in a series of five, builds on the ideas introduced in
This OpenLearn course provides a sample of level 1 study in Mathematics.
This free course includes adapted extracts from an Open University course which is no longer available to new students. If you found this interesting you could explore more free Statistics courses or view the range of currently available OU Statistics courses.
Copyright & revisions
Originally published: Wednesday, 16th March 2016
Last updated on: Wednesday, 16th March 2016
- Creative-Commons: The Open University is proud to release this free course under a Creative Commons licence. However, any third-party materials featured within it are used with permission and are not ours to give away. These materials are not subject to the Creative Commons licence. See terms and conditions. Full details can be found in the Acknowledgements and our FAQs section.
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