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Study programme 2014-2015

Teaching and training




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.

 
> Legend

The student shall select

De 20 à 30 credits parmi
Year
  1 2

Mandatory Compulsory courses in computing and applied mathematics
Mandatory LINMA2710 Numerical algorithms   Paul Van Dooren 30h+22.5h  5 credits 2q x x
Mandatory LINMA2111 Discrete mathematics II : Algorithms and complexity   Vincent Blondel, Jean-Charles Delvenne (compensates Vincent Blondel) 30h+22.5h  5 credits 2q x x
Mandatory LINMA1702 Applied mathematics : Optimization I   Vincent Blondel, François Glineur (compensates Vincent Blondel), François Glineur (coord.) 30h+22.5h  5 credits 2q x x
Mandatory LINGI2365 Constraint programming   Yves Deville 30h+15h  5 credits 2q x x
 
Optionnal Elective courses in computing and applied mathematics

The student can select 10 credits amongst  

Optionnal LINMA1170 Numerical analysis   Pierre-Antoine Absil, Paul Van Dooren (coord.) 30h+22.5h  5 credits 1q x x
Optionnal LINMA1691 Discrete mathematics - Graph theory and algorithms   Vincent Blondel, Jean-Charles Delvenne (compensates Vincent Blondel) 30h+22.5h  5 credits 1q x x
Optionnal LINMA2450 Combinatorial optimization   Jean-Charles Delvenne 30h+22.5h  5 credits 1q x x
Optionnal LINMA2470 Discrete stochastic models   Philippe Chevalier 30h+22.5h  5 credits 2q x x
Optionnal LINMA2471 Optimization models and methods   François Glineur 30h+22.5h  5 credits 1q x x
Optionnal LMAT2450 Cryptography   Olivier Pereira 30h+15h  5 credits 1q x x
Optionnal LINGI2262 Machine Learning :classification and evaluation   Pierre Dupont 30h+30h  5 credits 2q x x
Optionnal LINGE1222 Multivariate Statistical Analysis   Johan Segers 30h+15h  4 credits 2q x x
Optionnal LSTAT2020 Statistical computing   Céline Bugli 20h+20h  6 credits 1q x x
Optionnal LSINF2275 Data mining & decision making   Marco Saerens 30h+30h  5 credits 2q x x
Optionnal LSINF2224 Programming methods   Charles Pecheur 30h+15h  5 credits 2q x x
Optionnal LINGI2339 Abstract interpretation   Baudouin Le Charlier 30h+15h  5 credits 1q x x
Optionnal LINGI2348 Information theory and coding   Jérôme Louveaux, Benoît Macq (coord.), Olivier Pereira 30h+15h  5 credits 2q x x
Optionnal LINGI2143 Concurrent systems : models and analysis   Charles Pecheur 30h+15h  5 credits 1q x x
Optionnal LMECA2300 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
Optionnal LMECA2170 Numerical Geometry   Vincent Legat, Vincent Legat (compensates Jean-François Remacle), Jean-François Remacle 30h+30h  5 credits 1q x x