Farcas, Ionut-GabrielPlödereder, E.Grunske, L.Schneider, E.Ull, D.2017-07-262017-07-262014978-3-88579-626-8This paper presents and compares the results obtained using several methods for Stochastic Computations, used in Uncertainty Quantification. We practically present the methods using a simple ODE model. The focus is on both intrusive and non-intrusive methods, namely the Monte Carlo method, along with methods based on generalized polynomial $chaos(gPC)$ methodology. Moreover, we asses the obtained results by comparing them with the analytical solution of the system.enComparison of numerical methods in uncertainty quantificationText/Conference Paper1617-5468