Measures

Measurement is playing an increasingly important role in modern science and technology, to the point where it has become a science in its own right: Metrology.
The aim of this course is to present the specific characteristics of metrology, the general principles involved and the theoretical processing of experimental data to improve results. After an introduction reserved for measurement-related definitions, the course covers the general principles involved, measurement methods, and then presents the characteristics and qualities of a measurement chain or instrument.
An important part is devoted to the study of measurement uncertainties and data processing.
2 practical exercises applied to the processing of measurement results (estimators, uncertainty, confidence intervals, probability laws) enable practical application.

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1. Introduction: origins of metrology, the importance of measurement, metrology as a basis for quality 2. Vocabulary, definitions: quantities, dimensions, measurement, units, the international system. 3. Errors and Uncertainties: Measurement errors, standardized uncertainties, type A standard uncertainties, type B standard uncertainties... Presentation of measurement results, confidence intervals.
Elements of statistics applied to measurement.

Online course documents on a Moodle course (flipped learning)