Chapter 1 Introduction to Spectral Methods for Uncertainty Quantification

Chapter 2 Introduction to Imprecise Probabilities

Chapter 3 Uncertainty Quantification in Lasso-Type Regularization Problems

Chapter 4 Reliability Theory

Chapter 5 An Introduction to Imprecise Markov Chains

Chapter 6 Fundamentals of Filtering

Chapter 7 Introduction to Optimisation

Chapter 8 An Introduction to Many-Objective Evolutionary Optimization

Chapter 9 Multilevel Optimisation

Chapter 10 Sequential Parameter Optimization for Mixed-Discrete Problems

Chapter 12 Response Surface Methodology

Chapter 13 Risk Measures in the Context of Robust and Reliability Based Optimization

Chapter 14 Best Practices for Surrogate Based Uncertainty Quantification in Aerodynamics and Application to Robust Shape Optimization

Chapter 15 In-flight Icing: Modeling, Prediction, and Uncertainty

Chapter 16 Uncertainty Treatment Applications: High-Enthalpy Flow Ground Testing

Chapter 17 Introduction to Evidence-Based Robust Optimisation