Automotive Engineer in Quality and Metrology

MOOC - Automotive Engineer in Quality and Metrology

Foundations to Quality and Metrology

The first training unit introduces the subject of Metrology, with a particular focus on issues related to the Quality data and information available, for which the concept of “Uncertainty” is key and never completely divisible from the very same act of measurement, but can be put under control if both directly controllable and external conditions are known and its influence properly analysed.


Data, information, knowledge and uncertainty. Mathematical foundations of metrology:

This last part of the first block deals with data properties (variability, precision, accuracy, repeatability, reproducibility, etc.) applied to Dimensional Metrology, as well as explaining the difference between explicit and tacit, objective and subjective knowledge, and the relationship between data, information and knowledge. More specifically applied to Coordinate Measuring Machines, and apart from these key concepts explained above, this Element collects clues about errors and uncertainties and mathematical foundations for measuring (probability, statistics, data regression).

AEQM.U1.E3.PC1
The student, once she/he has understood the concept of Uncertainty in Metrology, is able to distinguish between some of the properties about data, namely: variability, repeatability, reproducibility, and, especially, precision and accuracy.
AEQM.U1.E3.PC2
The student understands the concepts of data, information and knowledge.