Assess students' ability to analyze convergence of stationary iterative methods for linear systems: derive iteration matrices for Jacobi, Gauss–Seidel, and SOR; state and apply the spectral radius criterion for convergence; use matrix properties (strict diagonal dominance, symmetric positive definiteness) and Gershgorin bounds to determine convergence; compute or estimate spectral radii for examples; select an optimal relaxation parameter ω for SOR and compare convergence rates with justification.