Students choosing the major “Computing and Applied Mathematics” must be able to:
- Understand engineering fields requiring synergy between applied mathematics and computer science such as algorithms, scientific calculations, modelling computer systems, optimisation, machine learning or data mining;
- Understand and put to good use methods and techniques used in advanced algorithms such as optimisation methods, constraint programming, graph algorithms, numerical algorithms, or analysis and design of algorithms;
- Identify and implement models and techniques relating to statistics, machine learning and data mining; learn classes of applications such as the treatment of noisy data, pattern recognition or automatic extraction in large data collections.
> Legend | ||||||||
The student shall select |
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De 20 à 30 credits parmi | ||||||||
Annual block | ||||||||
1 | 2 | |||||||
Required courses in Computing and Applied Mathematics | ||||||||
LINGI2365 | Constraint programming | Yves Deville, Jean-Baptiste Mairy (compensates Yves Deville) | 30h+15h | 5 credits | 2q | x | x | |
LINMA1702 | Applied mathematics : Optimization I | François Glineur | 30h+22.5h | 5 credits | 2q | x | x | |
LINMA2111 | Discrete mathematics II : Algorithms and complexity | Vincent Blondel, Jean-Charles Delvenne (coord.) | 30h+22.5h | 5 credits | 2q | x | x | |
LINMA2710 | Numerical algorithms | Paul Van Dooren | 30h+22.5h | 5 credits | 2q | x | x | |
Elective courses in computing and applied mathematics
The student can select 10 credits amongst |
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LINGE1222 | Multivariate Statistical Analysis | Johan Segers | 30h+15h | 4 credits | 2q | x | x | |
LINGI2143 | Concurrent systems : models and analysis | Charles Pecheur | 30h+15h | 5 credits | 1q | x | x | |
LINGI2262 | Machine Learning :classification and evaluation | Pierre Dupont | 30h+30h | 5 credits | 2q | x | x | |
LINGI2348 | Information theory and coding | Jérôme Louveaux, Benoît Macq (coord.), Olivier Pereira | 30h+15h | 5 credits | 2q | x | x | |
LINMA1170 | Numerical analysis | Paul Van Dooren | 30h+22.5h | 5 credits | 1q | x | x | |
LINMA1691 | Discrete mathematics - Graph theory and algorithms | Vincent Blondel, Jean-Charles Delvenne (compensates Vincent Blondel) | 30h+22.5h | 5 credits | 1q | x | x | |
LINMA2450 | Combinatorial optimization | Jean-Charles Delvenne, Julien Hendrickx | 30h+22.5h | 5 credits | 1q | x | x | |
LINMA2470 | Stochastic modelling | Philippe Chevalier | 30h+22.5h | 5 credits | 2q | x | x | |
LINMA2471 | Optimization models and methods | François Glineur | 30h+22.5h | 5 credits | 1q | x | x | |
LMAT2450 | Cryptography | Olivier Pereira | 30h+15h | 5 credits | 1q | x | x | |
LMECA2170 | Numerical Geometry | Vincent Legat, Jean-François Remacle | 30h+30h | 5 credits | 1q | x | x | |
LMECA2300 | Advanced Numerical Methods | Philippe Chatelain, Christophe Craeye, Vincent Legat, Jean-François Remacle | 30h+30h | 5 credits | 2q | x | x | |
LSINF2224 | Programming methods | Charles Pecheur | 30h+15h | 5 credits | 2q | x | x | |
LSINF2275 | Data mining & decision making | Marco Saerens | 30h+30h | 5 credits | 2q | x | x | |
LSTAT2020 | Statistical computing | Céline Bugli | 20h+20h | 6 credits | 1q | x | x |