Uncertainty Quantification: Methods, Applications, Challenges
In the modern product development process, the prevailing uncertainty is increasingly coming into focus. In many cases, it is not possible to specify single number values for model parameters, such as friction and damping parameters, but only intervals or distributions. To increase the predictive accuracy of models, it is therefore important to quantify and reduce uncertainty. The resulting improvement in the predictive ability of models contributes to the development of products whose load capacity is better adapted to the load and can thus be designed in a more resource-efficient way. In this course, students are taught the basic methods to describe, quantify, and evaluate uncertainty in real engineering systems.