Uncertainty of Measurement in Collision Investigation has been designed to take the principles of the UKAS Measurement of Uncertainty course and apply it directly to the scence of collision investigation.
This three day residential course will demonstrate how to build uncerainty budgets for various collision investigation techniques.
The course uses Microsoft Excel as the principle tool to build the error budget.
Day 1 | |
AM | The Normal Distribution |
Confidence intervals | |
Confidence v Coverage | |
PM | Type A and B uncertainties |
Principle of uncertainty budgets | |
Standard and expanded uncertainties | |
Divisors | |
Uncertainty budgets in Excel | |
Day 2 | |
AM | Error propagation - Piecemeal |
PM | Error propagation - Partial Derivatives |
Error propagation - Monte Carlo Simulation | |
Day 3 | |
AM | Simple error propagation in Excel |
PM | Monte Carlo simulations in Excel |
Open to Collision Investigators and Managers who hold at least a CertHE in forensic collision investigation and have a working knowledge of Microsoft Excel.
None.
Classroom.
You will need a scientific calculator, laptops with the necessary software will be provideded for the duration of the course.
There is no qualification. A course completion certiificate will be issued at the end of the course.
The Course is delivered by Craig Dawson. With his background in forensic science and with over 14 years experience as a collision investigator and lecturer in statistics and collision investigation, Craig is ideally suited to help you navigate your way through this subject.
As with all our programmes ongoing support is provided to all attendees.
Contact the faculty office. Course dates are published on the AiTS website homepage.
Coming on a course? | How to find us |
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Pricing information | Price List |
Terms and Conditions | |
Code: | C10009 |
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Credits: | None |
Level: | Not mapped |
Duration: | 3 days |
Type: | Classroom |
Assessment: | None |