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| STAT1212-1 | Mathematics applied to statistics
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| Duration : | 36h Th, 36h Pr |
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| Number of credits : |
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| Lecturer : | Catherine Charles |
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Language(s) of instruction :
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| French language |
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Course contents :
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| 1/ MATRIX CALCULUS
sum and product, (generalized) inverse, rank, factorizations, norms, eigenvalues and eigenvectors, quadratic forms quadratiques
2/ NUMERICAL ANALYSIS
errors, non-linear equations, linear systems, approximation of eigenvalues and eigenvectors
3/ OPTIMIZATION
unconstrained optimisation, constrained optimization, regression |
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Learning outcomes of the course :
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| To provide basics in matrix calculus, numerical analysis and optimisation
After completing the course the student is expected to
- to give the sum, product, inverse, rank, eigenvalues (eigenvectors), factorization of matrix
- to resolve non-linear equations, linear systems and give eigenvalues (eigenvectors) by means of algorithms
- to give the optimum of (constrained) multivariable functions |
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Planned learning activities and teaching methods :
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| Lectures : 36 h
Practical Works : 36 h |
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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 |
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Assessment methods and criteria :
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| Written examination (100%) |
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Contacts :
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| Charles, Catherine (Chargée de cours)
GxABT/SIMa
081 62 24 53
C.Charles@ulg.ac.be |
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