Data science and Applied Mathematics

sinf2m  2018-2019  Louvain-la-Neuve

Students completing the major “Data science 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 algorithms and techniques used in data science; 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.


 
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This option is limited to students who have taken the INFO/MAP major/minor pairing or the SINF Bachelor's degree program with the equivalent of a minor in mathematics. The student shall select

De 20 à 30 credits parmi
Annual block
  1 2

Mandatory Required courses in Computing and Applied Mathematics
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

The student can select 10 credits amongst  

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