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