# Analysing skid marks

## 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.

• Introduction
• Learning outcomes

1 Analysing skid marks

• Conclusion
• Keep on learning
• Acknowledgements
+ Course description

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.

+ Course outline
• Introduction
• Learning outcomes

1 Analysing skid marks

• Conclusion
• Keep on learning
• Acknowledgements 4 hours study Level 1: Introductory 4 hours study Level 1: Introductory

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.
+ Learning outcomes

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.