"1. introduction to scientific computing 2. solving linear equations: a. gaussian elimination. b. lu decomposition. c. matrices norms and condition number. d. iterative methods 3. solving nonlinear equations 4. introduction to optimization 5. qr factorization, applications, eigenvalues, singular values. 6. interpolation theory. 7. numerical integration and differentiation. 8. ordinary differential equations: initial value problems and boundary value problems."

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