Training Course Syllabus:

Measurement Uncertainty for Calibration and Testing Laboratories Webinar

Objectives of the Presentation

To introduce the basic concepts related to measurement results and measurement uncertainty
Learn how to calculate basic quantitative statistics including repeatability, reproducibility and precision
Understand the concept of combined uncertainty and expanded uncertainty
Understand Uncertainty in qualitative analyses and learn practical ways for using Uncertainty

Why Should you Attend

The Webinar will discuss the concept and application of uncertainty of measurement (MU) as required by ISO/IEC Standard 17025:2005 for laboratory accreditation, from a practical microbiological perspective, using unambiguous language with useful examples. Many laboratories are confused about what MU is and what is needed to meet the requirement, including, what data to collect and how to analyze it. A practical step by step approach specifically applicable to microbiology will be discussed.

Areas Covered

Basic Statistical concepts in microbial distribution
Variance
Standard Deviation
Repeatability
Reproducibility
Precision
Factors affecting uncertainty
Combined uncertainty
Expanded uncertainty
Measuring precision of a method for calculating MU
Making practical use of MU data
Applying MU concepts to qualitative methods

Who will Benefit

Bench analysts, QA managers, Laboratory managers/supervisors, QC practitioners, Current Accredited Laboratories, Laboratories Seeking Accreditation, Regulators or Specifiers, Assessors and Consultants, Anyone involved with qualification, testing and calibration of instruments in a GMP regulated laboratory, Quality assurance personnel, Compliance managers and regulatory affairs managers, GMP and CMC consultants, GLP auditors, and quality consultants, Laboratory managers, laboratory supervisors, and production managers, Auditors (internal and external) responsible for assessing laboratory instrument compliance.

Seminar Summary:

This course provides a comprehensive presentation of the principles of measurement uncertainty analysis for direct and multivariate measurements and measurement systems. Knowledge of the uncertainty of measurement of testing and calibration results is fundamentally important for laboratories, their clients and all institutions using these results for comparative purposes. Uncertainty of measurement is a very important metric of the quality of a result or a testing method. (see full course description)

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