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MATH-F3141
Analyse numérique pour les équations aux dérivées partielles
Course teacher(s)
Bernard KNAEPEN (Coordinator)ECTS credits
5
Language(s) of instruction
english, french
Course content
Introduction to numerical methods for the resolution of partial differential equations
- Integration of ordinary differential equations
- Differentiation by the method of finite differences
- Resolution of partial differential équations
- Iterative methods for the inversion of linear equations
- Spectral methods: Fourier series and Chebyshev polynomials
Objectives (and/or specific learning outcomes)
- Formulate a numerical method for the resolution of partial differential equations
- Write a program in the Python language to solve a large range of problems described py partial differential equations
- Usage of programming tools including: jupyter notebook, numpy / scipy / matplotlib packages, git / github.
- Write a program in the Python language to solve a large range of problems described py partial differential equations
- Usage of programming tools including: jupyter notebook, numpy / scipy / matplotlib packages, git / github.
Prerequisites and Corequisites
Required and Corequired knowledge and skills
Basic knowledge of a computer programming language.
Teaching methods and learning activities
Classes and practical exercises (exercises might be given in English)
Course notes
- Syllabus
- Université virtuelle
Other information
Contacts
Prof. B. Knaepen, bernard.knaepen@ulb.be
Campus
Plaine
Evaluation
Method(s) of evaluation
- Other
Other
- Written exam on the course material, including exercise sessions
Mark calculation method (including weighting of intermediary marks)
Written exam: 100%
Language(s) of evaluation
- french
- (if applicable english )