Assess students' ability to analyze the convergence behavior of the Conjugate Gradient (CG) method for symmetric positive-definite linear systems: derive and interpret error bounds in terms of eigenvalue distributions and condition numbers, predict effects of specific preconditioners (Jacobi, incomplete Cholesky, SSOR) on convergence rates, and evaluate theoretical versus empirical performance on representative test problems.