Major in Data science and Applied Mathematics

info2m  2018-2019  Louvain-la-Neuve

This major is available only to students who majored or minored in Applied Mathematics during their bachelor's degree programme. Students completing the major Computing and Applied Mathematics will be able to: Understand both applied mathematics and computing including algorithms, scientific calculations, computer system modelling, optimisation, automated learning or data mining, Understand and use the methods and techniques related to advanced algorithms such as optimisation methods, constraint programming, algorithms of graphs, numerical algorithms or analysis and design of algorithms, Identify and use models and techniques relating to statistics, automated learning and data mining; understand categories of applications used for the processing of raw data as well as automatic forms used to mine information out of large data sets.


 
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The student shall select 20 to 30 credits among

Annual block
  1 2

Mandatory Required courses in Computing and Applied Mathematics

  De 20 à 30 CREDITS parmi

Mandatory LINGI2262 Machine Learning :classification and evaluation   Pierre Dupont
30h+30h  5 credits 2q x x
Mandatory LINMA2472 Algorithms in data science   Vincent Blondel
, Jean-Charles Delvenne (coord.)
, Gautier Krings (compensates Vincent Blondel)
, Leto Peel (compensates Jean-Charles Delvenne)
30h+22.5h  5 credits 1q x x
Mandatory LINMA2710 Scientific computing   Pierre-Antoine Absil (coord.)
, Anthony Papavasiliou
, Dirk Roose (compensates Anthony Papavasiliou)
30h+22.5h  5 credits 2q x x
Mandatory LSINF2275 Data mining & decision making   Marco Saerens
30h+15h  5 credits 2q x x
 
Optionnal Elective courses in computing and applied mathematics

Student shall select 10 credits among  

Optionnal LELEC2870 Machine Learning : regression, dimensionality reduction and data visualization   John Lee (compensates Michel Verleysen)
, Michel Verleysen
30h+30h  5 credits 1q x x
Optionnal LINGI2266 Advanced Algorithms for Optimization   Pierre Schaus
30h+15h  5 credits 1q x x
Optionnal LINGI2348 Information theory and coding   Christophe De Vleeschouwer (compensates Benoît Macq)
, Jérôme Louveaux
, Benoît Macq
, Olivier Pereira
30h+15h  5 credits 2q x x
Optionnal LINGI2364 Mining Patterns in Data   Siegfried Nijssen
30h+15h  5 credits 1q x x
Optionnal LINGI2365 Constraint programming   Pierre Schaus
, Pierre Schaus (compensates Yves Deville)
30h+15h  5 credits 2q x x
Optionnal LINMA2450 Combinatorial optimization   Daniele Catanzaro (compensates Jean-Charles Delvenne)
, Daniele Catanzaro (compensates Julien Hendrickx)
, Jean-Charles Delvenne (coord.)
, Julien Hendrickx
30h+22.5h  5 credits 1q x x
Optionnal LINMA2470 Stochastic modelling   Philippe Chevalier
30h+22.5h  5 credits 2q x x
Optionnal LINMA2471 Optimization models and methods II   François Glineur
30h+22.5h  5 credits 1q x x
Optionnal LMAT2450 Cryptography   Olivier Pereira
30h+15h  5 credits 1q x x
Optionnal LMECA2170 Numerical Geometry   Vincent Legat
, Jean-François Remacle
30h+30h  5 credits 1q x x