Course Instructor

TBA

Course Schedule

08 - 12 Nov 2026
8AM - 3PM

Course Fee

USD Enquire with us

Course Duration

5 Days

Location

DOHA, QATAR

Course Description

Chemical and bio‑analytical measurements are omnipresent and often very important in our society. Just think of the quality of the food we eat, the air we breathe … the role of these measurements in healthcare, in trade and in research. In all these cases, people strive to get reliable data. There is an international standard for assuring the quality of measurement data, namely ISO/IEC 17025:2005 (General requirements for the competence of testing and calibration laboratories). The standard contains particular management as well as technical requirements. These technical requirements are linked to the science behind these measurements, meaning that metrological issues such as traceability, uncertainty and validation are at the heart of this. Method validation and calibration are very important tools used in practical standard method and new development method. The course covers bulk of the methods and techniques used as guide to chemists to be qualified.

Course Objectives

Upon the successful completion of the course, the participants will be able to: 

  • Understand method validation and its requirements;
  • Select and apply the statistics required during method validation;
  • Select and use the appropriate types of method validation studies and appreciate and understand the links with measurement uncertainty.
  • Understand the concept of uncertainty of measurement in both testing and calibration environment for validation purposes
  • Identify concepts involved in the calculation of measurement uncertainty in a practical and pragmatic manner
  • Create method validation

Who Should Attend?

This course is designed for analytical scientists, chemist, metrologist and potential or existing laboratory managers who are involved in method development and method validation.

Any person who is, or will be, involved in the estimation, use and reporting of uncertainties of measurement for testing and/or calibration.

Course Agenda

DAY 1:

Pre-Test & Introduction

  • Introduction to statistics for method validation
  • Significance testing – t-tests and the F- test Analysis of variance (ANOVA) Linear regression
  • Introduction to the concepts of method validation
  • Building a validation protocol Performance parameters; precision, bias and ruggedness
  • Performance parameters; selectivity, LoD, LoQ, linearity and working range using validation data to estimate measurement uncertainty
  • Appreciation of Uncertainty: Individual Exercise in Open Session
  • Traceability, calibration, corrections and SI units

Day 2

  • Definition of Metrological Terms
  • Classifications of Uncertainty – Type A & Type B
  • Discovering Distributions
  • Symbols and Equations Part 1
  • Combination of Uncertainties
  • Calculation of Uncertainty for a Measurement
  • Example of a test with influence quantities
  • Sources of Uncertainty
  • Correlated Contributions
  • Human Factors
  • Pooled Standard Deviations

Day 3

  • Approaches to Evaluating sources of uncertainty
  • Normal or not? – situations where a normal distribution cannot be assumed for the combined uncertainty
  • Stochastic modeling of uncertainty in quantitative measurements
  • Statements of Uncertainty and Compliance
  • Comparison of a median with a known value (the sign test)
  • Confidence interval for non-parametric methods

Day 4

  • Comparison of the medians of two methods (the sign test)
  • Comparison median of two un-depended samples (Wilcoxon Rank-Sum est)
  • Comparison spread of two sets of non-parametric results (Siegel-Tukey test)
  • Rank Correlation for not quantified results (spearman method)
  • Non-parametric method on more than two samples (Friedman´s test)

Day 5

  • Non-parametric regression methods (Theil´s test) quality control harts
  • Quality control charts Shewhart and Cusum Chart
  • Experimental design and optimization methods Factorial designs
  • Estimation of factors interaction by two-way Anova test
  • Post-Test

Assessment Methodology

All courses conducted by EdTech will begin with a Pre-evaluation and end with a Post-evaluation. The instructor will evaluate the knowledge and skills of the participants according to the feedback given by the participants. This will help to recognize the benefits and the level of knowledge gained by participants through the course.

Training Methodology

Facilitated by a highly qualified specialist, who has extensive knowledge and experience; this program will be conducted using extensively interactive methods, encouraging participants to share their own experiences and apply the program material to real-life work situations in order to stimulate group discussions and improve the efficiency of the subject coverage. Percentages of the total course hour classification are:

  • 40% Theoretical lectures, Concepts, and Approach
  • 20% Motivation to develop individual skills and Techniques
  • 20% Case Studies and Practical Exercises
  • 20% Topic General Discussions and interaction

Course Manual

Participants will be provided with comprehensive presentation material as a reference manual. This presentation material is a compilation of core valuable information, references, presentation methods, and inspiring reading which will be used as a part of the material guide.

Course Certificate

At the completion of the course, all participants who successfully accomplished the required contact hours will receive an EdTech Training Participation Certificate as a testimony to their commitment to professional development and further education.

Why EdTech?

  • Industry Experienced; Internationally Qualified Trainers
  • Hands-on Practical Sessions & Assignments
  • Intensive Study materials
  • Flexible Schedules
  • Realistic training methodology
  • High-Quality Training in Affordable Course Fees
  • Achievement Certificate, as approved by the Ministry of Education (Abu Dhabi Center for Technical and Vocational Education Training - ACTVET), HABC, AWS, IAOSHE, SHRM, etc.