Students completing successfully this option will be able to
• apprehend engineering fields requiring a synergy between applied mathematics and computer science, such as algorithms, scientific computing, modeling of computer systems, optimization, machine learning and data mining ;
• apply wisely methods and techniques within advanced algorithms such as optimization methods, constraint programming, algorithmic graph, numerical or algorithmic analysis and design of algorithms ;
• identify and implement models and techniques relevant to statistics, machine learning and data mining; understand classes of applications such as the treatment of noisy data, pattern recognition or automatic information extraction in large data collections.
• apprehend engineering fields requiring a synergy between applied mathematics and computer science, such as algorithms, scientific computing, modeling of computer systems, optimization, machine learning and data mining ;
• apply wisely methods and techniques within advanced algorithms such as optimization methods, constraint programming, algorithmic graph, numerical or algorithmic analysis and design of algorithms ;
• identify and implement models and techniques relevant to statistics, machine learning and data mining; understand classes of applications such as the treatment of noisy data, pattern recognition or automatic information extraction in large data collections.
> Legend
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The student shall select |
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| De 20 à 30 credits parmi | ||||||||
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Numerical algorithms | Paul Van Dooren | 30h+22.5h | 5 credits | 2q | x | x | |
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Discrete mathematics II : Algorithms and complexity | Vincent Blondel, Jean-Charles Delvenne (compensates Vincent Blondel) | 30h+22.5h | 5 credits | 2q | x | x | |
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Applied mathematics : Optimization I | Vincent Blondel, François Glineur (compensates Vincent Blondel), François Glineur (coord.) | 30h+22.5h | 5 credits | 2q | x | x | |
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Constraint programming | Yves Deville | 30h+15h | 5 credits | 2q | x | x | |
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The student can select 10 credits amongst |
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Numerical analysis | Pierre-Antoine Absil, Paul Van Dooren (coord.) | 30h+22.5h | 5 credits | 1q | x | x | |
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Discrete mathematics - Graph theory and algorithms | Vincent Blondel, Jean-Charles Delvenne (compensates Vincent Blondel) | 30h+22.5h | 5 credits | 1q | x | x | |
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Combinatorial optimization | Jean-Charles Delvenne | 30h+22.5h | 5 credits | 1q | x | x | |
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Discrete stochastic models | Philippe Chevalier | 30h+22.5h | 5 credits | 2q | x | x | |
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Optimization models and methods | François Glineur | 30h+22.5h | 5 credits | 1q | x | x | |
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Cryptography | Olivier Pereira | 30h+15h | 5 credits | 1q | x | x | |
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Machine Learning :classification and evaluation | Pierre Dupont | 30h+30h | 5 credits | 2q | x | x | |
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Multivariate Statistical Analysis | Johan Segers | 30h+15h | 4 credits | 2q | x | x | |
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Statistical computing | Céline Bugli | 20h+20h | 6 credits | 1q | x | x | |
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Data mining & decision making | Marco Saerens | 30h+30h | 5 credits | 2q | x | x | |
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Programming methods | Charles Pecheur | 30h+15h | 5 credits | 2q | x | x | |
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Abstract interpretation | Baudouin Le Charlier | 30h+15h | 5 credits |
1q
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x | x | |
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Information theory and coding | Jérôme Louveaux, Benoît Macq (coord.), Olivier Pereira | 30h+15h | 5 credits | 2q | x | x | |
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Concurrent systems : models and analysis | Charles Pecheur | 30h+15h | 5 credits | 1q | x | x | |
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Advanced Numerical Methods | Christophe Craeye, Jonathan Lambrechts, Vincent Legat, Vincent Legat (compensates Jean-François Remacle), Jean-François Remacle | 30h+30h | 5 credits | 2q | x | x | |
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Numerical Geometry | Vincent Legat, Vincent Legat (compensates Jean-François Remacle), Jean-François Remacle | 30h+30h | 5 credits | 1q | x | x | |

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