So starting from the basics, we are going to introduce different applications in uncertainty. We will use structures as examples. Structures are associated with different types of uncertainties including uncertainties in design parameters, construction procedures, response, modelling, and the level of understanding of the physics for the structure. Uncertainty quantification allows us to consider such aspects with mathematical models to integrate into various artificial intelligence methods.

For this tutorial you need to have installed Python, Jupyter notebooks, and some common libraries including Scikit Learn. Please see the following tutorial for more information.

Exercise file

You can download the Python script of this tutorial below.