TRAINING COURSES CONTENT

TRAINING COURSE TITLE:

EVALUATION AND ESTIMATION OF THE UNCERTAINTY OF MEARUMENTS

 

The purpose of this training course is to present analytically in a simple and understandable way the methodology for the estimation and evaluation of the uncertainty of measurements that is required by the standards ISO 17025:2017 and ISO 15189:2022 for the:
 
a)  Testing laboratories,
b)  Calibration laboratories
c)  Medical laboratories.
 

To whom it is addressed:

The training course is addressed to Quality Managers, Technical Managers, Internal Auditors of QMS according to ISO 17025 and ISO 15189, as well as to Scientific and Technical Staff of Testing, Calibration and Medical Laboratories.


Trainer:

Miltiadis Volotopoulos, Chemical Engineer, MSc Quality Management, Member of the Chartered Quality Institute of UK, Management Systems Development Consultant of PROSPERITY Ltd. with experience since 1995 in more than 60 laboratory accreditations and delivery of more than 200 training courses.

 
Remarks:
The participants should have available a laptop, tablet, computer or a scientific calculator in order to calculate basic statistical parameters (e.g. average, standard deviation) necessary for the exercises.
 
COURSE PROGRAM
 

FIRST DAY


11.00 – 11.45  Introduction, What is uncertainty of measurement,

                      What is measurement error - Random and systematic errors,

                      The methodology for estimating the measurement uncertainty,

                      Sources of uncertainty, Classification and modeling of uncertainties,

                      Common Probability distributions.


11.45 – 12.00  Break


12.00 – 12.45  Normal distribution,

                       Exercise 1:  Evaluation of the confidence limits,

                      The Student distribution (t-distribution).


12.45 – 13.00  Break


13.00 – 13.45  Quantification of uncertainties, Type A and type B uncertainties - Classification of uncertainties,

                      Convert to a standard deviation, Examples of conversion to a standard deviation,

                       Exercise 2: Conversion to a standard deviation.


13.45 – 14.00  Break


14.00 – 14.45  Combined and Expanded Uncertainty, Coverage Factor K,

                       Exercise 3:  Quantification and Combination of Uncertainties,

                       Exercise 4:  Calculation of the Combined Uncertainty.


14.45 – 15.00  Break


15.00 - 15.45  Exercise 5: Estimation of the uncertainty of a standard solution used for the calibration of an Atomic Absorption.


15.45 – 16.00  Break


16.00 – 16.45  Sensitivity coefficients Ci,

                      Preparing an uncertainty budget,

                       Exercise 6: Preparing an uncertainty budget.


SECOND DAY


11.00 – 11.45  Exercise 7: Preparation of an uncertainty budget for the uniaxial compressive strength of concrete cubes.


11.45 – 12.00  Break


12.00 – 12.45  Significance test - Modified coverage factors Kp, Degrees of freedom – Student distribution – Kp values,

                       Exercise 8: Calculating the degrees of freedom and Kp.


12.45 – 13.00  Break


13.00 – 13.45  Uncertainty due to systematic errors (Bias),

                       Exercise 9: Estimating the Uncertainty due to systematic errors (Bias) using a certified reference material,

                       Exercise 10: Estimating the uncertainty due to systematic errors (Bias) using the results from participation in

                      Proficiency testing,


13.45 – 14.00  Break


14.00 – 14.45  Uncertainty of the calibration curve,

                       Exercise 11:  Estimation of the uncertainty of the calibration curve.


14.45 – 15.00  Break


15.00 – 15.45  Estimation of the uncertainty for microbiological laboratories,

Exercise 12:   Estimation of the uncertainty in microbiological testing,

                      Estimation of the uncertainty in medical laboratories.


15.45 – 16.00  Break


16.00 - 16.45  Reporting uncertainty, Compliance with specifications,

                      Exercise 13: How many measurements.