Programs

Course Content :

1. Introduction to uncertainty in measurement.
2. Basic statistics and probability concepts.
3. Probability distributions.
4. Basic terms and definitions as related to the evaluation of uncertainty in measurement.
5. Expressing measurement results and uncertainties.
6. Identifying uncertainty components.
7. An overview of ISO's Guide to the Expression of Uncertainty in Measurement, "the GUM".
8. Modeling a measurement.
9. Evaluation of type A and type B of standard uncertainty.
10. Combined standard uncertainty and extended uncertainty.
11. Uncertainty Budgets.
12. Examples of uncertainty budgets and calculations.
13. Reporting uncertainty.
14. Case studies and calculation exercises.