This is an introduction to fundamental principles that underly measurement uncertainty. Learn the basic concepts, data sources and methods of characterising measurement uncertainty contributors. Simple uncertainty budgets for common assays. We also introduce some of the advanced topics from the next module

1Welcome and Orientation– How the course will be delivered
1History of Measurement– The basics of measurement 
– Defining measurement values 
2MU Concepts
– Introduction to MU 
– Why we use it 
– Methods available 
– What evidence it provides
3Statistics for MU– Basic statistics to be used throughout the pathway
Live tutorial session – Review of weeks 1, 2 & 3
4The Measurand– What is the measurand?
– How do we define it?
– Can its uncertainty really not be quantified?
5MU Contributors– Selecting contributors that influence the MU
– Characterise their measurements
6MU Propagation– Methods to combine the contributors we have identified
Live tutorial session – Review of weeks 4, 5 & 6
7Quantitative Assays – some simple examplesAnalysis of assays that give continuous numerical results
8Qualitative AssaysHow to handle Pos/Neg, Detected/not detected etc.
Live tutorial session – – Review of weeks 7 & 8

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