Through interactive lectures, case studies, discussions, and workshops, the course builds strong conceptual knowledge without requiring hands-on laboratory work.

By the end of this course, participants will be able to:

• Understand the purpose and principles of method validation
• Explain the concept and importance of measurement uncertainty
• Identify key validation parameters and performance characteristics
• Interpret international standards related to validation and uncertainty (e.g., ISO/IEC 17025)
• Evaluate the reliability and suitability of measurement results
• Apply structured approaches to estimating and reporting uncertainty
• Support compliance, accreditation, and quality improvement initiatives

This course is suitable for:

• Laboratory managers and supervisors
• Quality assurance and quality control personnel
• Analytical and testing professionals
• Calibration and metrology staff
• Compliance and accreditation officers
• Engineers and technicians involved in measurement and testing activities

This interactive Training will be highly interactive, with opportunities to advance your opinions and ideas and will include:
• Lectures
• Workshop & Work Presentation
• Case Studies and Practical Exercise (discussion-based)
• Videos and General Discussions

Day 1 – Fundamentals of Method Validation

• Introduction to method validation and its role in quality systems
• Regulatory and standard requirements (ISO/IEC 17025, ISO 9001, etc.)
• Types of analytical and measurement methods
• Fit-for-purpose and method selection
• Case study discussion: Why validation fails

Day 2 – Validation Parameters and Performance Characteristics

• Accuracy, precision, and bias
• Linearity and working range
• Detection and quantification limits
• Specificity, selectivity, and robustness
• Workshop & discussion: Reviewing validation data

Day 3 – Introduction to Measurement Uncertainty

• Concept of measurement uncertainty
• Sources of uncertainty in measurements
• Types of errors and variability
• Traceability and calibration
• Video & group discussion: Understanding uncertainty in results

Day 4 – Estimating and Reporting Measurement Uncertainty

• Uncertainty components and models
• Combining and evaluating uncertainty
• Expanded uncertainty and confidence levels
• Reporting and interpreting uncertainty statements
• Case study: Using uncertainty in decision-making

Day 5 – Integrating Validation and Uncertainty into Quality Systems

• Relationship between method validation and measurement uncertainty
• Use of validation and uncertainty in audits and accreditation
• Risk-based thinking and continuous improvement
• Review of best practices and common challenges
• Workshop & presentations: Developing a validation and uncertainty framework

A RECTUS attendance certificate will be awarded to all participants who complete at least 80% of the total course duration.