Course Objectives:
1. Understand the concept of measurement uncertainty.
2. Learn to estimate and calculate MU.
3. Apply MU in testing laboratories.
4. Ensure compliance with ISO/IEC 17025:2017 requirements.
Course Outline:
Module 1: Introduction to Measurement Uncertainty
1. Definition and importance of MU.
2. Regulatory requirements (ISO/IEC 17025:2017).
3. Types of uncertainty (aleatoric, epistemic).
Module 2: Identifying and Evaluating Uncertainty Sources
1. Identifying uncertainty sources (instrumental, methodological, environmental).
2. Evaluating uncertainty sources (quantitative, qualitative).
3. Using uncertainty budgets.
Module 3: Estimating Measurement Uncertainty
1. Statistical methods (Type A evaluations).
2. Non-statistical methods (Type B evaluations).
3. Combining uncertainty components.
Module 4: Calculating Measurement Uncertainty
1. Calculating combined standard uncertainty.
Module 5: Expressing and Reporting Measurement Uncertainty
1. Standard uncertainty.
2. Expanded uncertainty (k=2).
3. Reporting MU in test reports.
Module 6: Implementing Measurement Uncertainty in Laboratories
1. Developing an MU policy.
2. Integrating MU into laboratory procedures.
3. Training laboratory staff.
Module 7: Case Studies and Practical Exercises
1. Examples of MU calculations.
Module 1: Introduction to Measurement Uncertainty
1. Definition and importance of MU.
2. Regulatory requirements (ISO/IEC 17025:2017).
3. Types of uncertainty (aleatoric, epistemic).
Module 2: Identifying and Evaluating Uncertainty Sources
1. Identifying uncertainty sources (instrumental, methodological, environmental).
2. Evaluating uncertainty sources (quantitative, qualitative).
3. Using uncertainty budgets.
Module 3: Estimating Measurement Uncertainty
1. Statistical methods (Type A evaluations).
2. Non-statistical methods (Type B evaluations).
3. Combining uncertainty components.
Module 4: Calculating Measurement Uncertainty
1. Calculating combined standard uncertainty.
Module 5: Expressing and Reporting Measurement Uncertainty
1. Standard uncertainty.
2. Expanded uncertainty (k=2).
3. Reporting MU in test reports.
Module 6: Implementing Measurement Uncertainty in Laboratories
1. Developing an MU policy.
2. Integrating MU into laboratory procedures.
3. Training laboratory staff.
Module 7: Case Studies and Practical Exercises
1. Examples of MU calculations.