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Deterministic Galerkin finite element methods deliver high-fidelity solutions of partial differential equations (PDEs) but do not fully capture the inevitable uncertainty in material parameters, boundary conditions and external forcing. This thesis presents a unified framework that spans classical Galerkin discretisation and its stochastic counterpart, enabling uncertainty simulation of diffusion-
