Methods for uncertainty quantification: Polynomial Chaos expansion; Stochastic Galerkin methods; stochastic collocation on sparse grids; discrete least squares; Monte Carlo and multi-level Monte Carlo; perturbation methods and sensitivity analysis; dynamical low rank; optimization under uncertainty; Markov Chain Monte Carlo;
Numerical approximation of partial differential equations; finite element approximations