SylabUZ
Nazwa przedmiotu | Numerical methods in engineering |
Kod przedmiotu | 11.9-WE-ELEKTD-NumMethinTechn-Er |
Wydział | Wydział Informatyki, Elektrotechniki i Automatyki |
Kierunek | Elektrotechnika |
Profil | ogólnoakademicki |
Rodzaj studiów | Program Erasmus drugiego stopnia |
Semestr rozpoczęcia | semestr zimowy 2020/2021 |
Semestr | 1 |
Liczba punktów ECTS do zdobycia | 3 |
Typ przedmiotu | obowiązkowy |
Język nauczania | angielski |
Sylabus opracował |
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Forma zajęć | Liczba godzin w semestrze (stacjonarne) | Liczba godzin w tygodniu (stacjonarne) | Liczba godzin w semestrze (niestacjonarne) | Liczba godzin w tygodniu (niestacjonarne) | Forma zaliczenia |
Wykład | 15 | 1 | - | - | Egzamin |
Laboratorium | 15 | 1 | - | - | Zaliczenie na ocenę |
- to introduce to the basics of the very nature of floating-point arithmetic and threats resulting from its use
- to familiarize students with the basic numerical algorithms used in modeling and engineering calculations performed with the use of computer techniques
- to introduce basic numerical algorithms for solving typical computational tasks emerging in the process of modeling technical systems and processes encountered in the analytical work of an engineer with specialties related to electrical engineering
Mathematical analysis, Selected issues of circuit theory I, Numerical method
Mathematical foundations: standards and assumptions of variable-point arithmetic with finite precision. Basic definitions and types of errors. Numerical tasks and their numerical conditioning, numerical stability, ways of avoiding errors
Basic issues of linear algebra: matrix calculus, systems of linear equations and numerical algorithms for solving them: Gaussian elimination algorithm and the problem of optimal element selection. Iterative methods: Gauss-Seidel algorithm and Jacobi algorithm. Fixed point methods. Applications for numerical calculations on matrices.
Fixed point methods: solving equations and systems of nonlinear equations using Newton's algorithm.
Interpolation techniques and their applications: polynomial interpolations, van der Monde linear systems and their numerical instability, Lagrange and Newton methods, the method of splines , in particular the technique of cubic splines .Applications of interpolation techniques to numerical integration :Newton-Cotte series . Gaussian quadratures.
Approximation techniques: minimal sum of squares error polynomial approximations, numerical instabilities in the tasks of discrete approximation, orthogonal polynomials and their applications. Approximation with trigonometric polynomials, Fourier series and their applications. Min-max error minimization error problems.
Initial and boundary problems for ordinary differential equations. Mathematical introduction and review of applications of ordinary equations in electrical engineering. Numerical algorithms for initial problems: Euler's algorithm, Runge-Kuty algorithms. Numerical algorithms for boundary problems.
Lecture, laboratory exercises
Opis efektu | Symbole efektów | Metody weryfikacji | Forma zajęć |
Lecture –the necessary passing condition is to obtain a positive grade from final exam.
Laboratory – the main condition to get a pass are sufficient marks for all exercises and tests
conducted during the semester.
Calculation of the final grade: lecture 50% + laboratory 50%
1. Lloyd N. Trefethen and David Bau, III: Numerical Linear Algebra, SIAM, 1997
2. H.M. Antia: Numerical Methods for Scientists and Engineers, Birkhauser, 2000
3. Richard L. Burden, J. Douglas Faires, Numerical analysis, Brooks /Cole Publishing Company, ITP An International Thomson Publishing Company, sixth edition, 1997
4. Kendall Atkinson, Elementary numerical anlysis, John Wiley & Sons, Inc., second edition, 1993
1. Bjoerck A., Dahlquist G.: Metody numeryczne, PWN, Warszawa, 1987.
Zmodyfikowane przez dr hab. inż. Paweł Szcześniak, prof. UZ (ostatnia modyfikacja: 25-04-2020 13:39)