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| MATH0500-1 | Introduction to numerical algorithmic
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| Duration : | 24h Th, 14h Pr, 6h Labo., 45h Proj. |
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| Number of credits : |
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| Lecturer : | Quentin Louveaux |
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Language(s) of instruction :
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| French language |
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Organisation and examination :
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| Teaching in the first semester, review in January |
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Course contents :
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| Numerical analysis is at the boundary between Mathematics and Computer Science. It consists in studying how to practically obtain in a computer different mathematical concepts studied in other courses.
This course gives a brief introduction on good ways to implement a numerical method.
The following topics are considered:
- number representations in a computer
- interpolation
- Non-linear equations and systems
- Linear algebra
- Sparse linear algebra
- Monte-Carlo methods |
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Learning outcomes of the course :
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| - representation of numbers in a computer and implications on the roundoff errors in floating point computing
- numerical methods for the resolution of nonlinear equations
- basics of numerical linear algebra
- basics of sparse linear algebra
- basic concepts of the software matlab |
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Prerequisites and co-requisites/ Recommended optional programme components :
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| High-school mathematics |
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Planned learning activities and teaching methods :
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| Tutorials are organized every week.
An introduction to matlab is given.
An implementation project is also given. |
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Mode of delivery (face-to-face ; distance-learning) :
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| face-to-face |
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Recommended or required readings :
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| Lecture notes will be availableon the course's website. |
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Assessment methods and criteria :
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| A written exam is organized.
The implementation project by groups of two also counts in the final grade.
The final grade is obtained as the geometric mean of the two scores. |
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Work placement(s) :
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Organizational remarks :
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Contacts :
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