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ELECTRICAL AND ELECTRONICS ENGINEERING (ENGLISH) PROGRAMME COURSE DESCRIPTION |
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| Name of the Course Unit | Code | Year | Semester | In-Class Hours (T+P) | Credit | ECTS Credit |
|---|---|---|---|---|---|---|
| NUMERICAL ANALYSIS | MAT302 | 3 | 6 | 3+0 | 3.0 | 5.0 |
| Weekly Course Contents and Study Materials for Preliminary & Further Study | ||
|---|---|---|
| Week | Topics (Subjects) | Preparatory & Further Activities |
| 1 | Preliminaries of Computing - Basic concepts: round-off errors, floating point arithmetic, Convergence. |
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| 2 | Numerical solution of Nonlinear Equations: - Bisection method - fixed-point iteration |
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| 3 | Numerical solution of Nonlinear Equations: - Newton’s method - The Secant Method |
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| 4 | Interpolation and Polynomial Approximation a) Lagrange Polynomial b) Divided Differences c) Hermite Interpolation |
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| 5 | Direct Methods for Solving Linear Systems | No file found |
| 6 | IterativeTechniques for Solving Linear Systems: The Jacobi and Gauss-Siedel Iterative Techniques |
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| 7 | Interpolation and Polynomial Approximation: Interpolation and the Lagrange Polynomial Data Approximation and Neville’s Method |
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| 8 | Midterm exam | No file found |
| 9 | Interpolation and Polynomial Approximation: Divided Differences Hermite Interpolation |
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| 10 | Numerical Differentiation Three-Point Formulas, Five-Point Formulas, |
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| 11 | Numerical Integration TheTrapezoidal Rule,Simpson’s Rule .Composite Numerical Integration. |
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| 12 | Initial-Value Problems for Ordinary Differential Equations: Euler’s Method, Higher-Order Taylor Methods, Runge-Kutta Methods |
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| 13 | Approximation Theory: Discrete Least Squares Approximation. Rational Function Approximation. |
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| 14 | Revision | No file found |