Lecture: Introduction to Uncertainty Quantification
Introduction to Uncertainty Quantification
Date: Friday, Nov. 28, from 9-12
This course provides a practical foundation in Uncertainty Quantification (UQ) – an essential skill for anyone working with simulations, data-driven models, or engineering systems.
We will cover the following:
- What is uncertainty and why it matters in engineering
- Probabilistic foundations and statistical concepts
- Sampling methods (Monte Carlo, Latin Hypercube, etc.)
- Methods for uncertainty propagation
- Surrogate modelling and sensitivity analysis
- Practical UQ workflows using real-world examples
The speaker is Dr. Saleh Rezaeiravesh (Univeristy of Manchester). He is an expert on modern methods to uncertainty quantification, and the main author of the UQit package that can be used for analysing your research data with UQ in mind. He will give a short course/lecture on UQ on Friday, Nov. 28, from 9-12 in the LSTM Seminar Room.
If you are interested to participate, please fill in the short form here: https://forms.gle/JnqqCrxBLwTrz4tg7