1. Study
  2. Study programme
  3. Study programme 2016-2017
  4. Per faculty
  5. Ecole Polytechnique de Louvain
  6. Master [120] in Mathematical Engineering

Major in Data science

map2m  2016-2017  Louvain-la-Neuve



This option proposes a selection of courses of statistics, data mining, algorithmics and data architectures that introduce the students to several facets of Data Science.


 
> Legend

The student may choose
De 20 à 30 credits parmi
Annual block
  1 2
Mandatory Compulsory courses in data science
Mandatory LINMA2472 Algorithms in data science   Vincent Blondel (coord );
Jean-Charles Delvenne;
Gautier Krings (compensates Vincent Blondel);
30h+22.5h  5 credits 1q x x
 
Optionnal Elective courses in data science
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 LINGI2145 Cloud Computing   Damien Leroy;
30h+15h  5 credits 1q x x
Optionnal LINGI2172 Databases   Siegfried Nijssen;
30h+30h  6 credits 2q x x
Optionnal LINGI2262 Machine Learning :classification and evaluation   Pierre Dupont;
30h+30h  5 credits 2q x x
Optionnal LSINF2275 Data mining & decision making   Marco Saerens;
30h+15h  5 credits 2q x x
Optionnal LSTAT2020 Statistical computing   Celine Bugli (compensates Bernadette Govaerts);
Bernadette Govaerts;
20h+20h  6 credits 1q x x
Optionnal LSTAT2360 Seminar in data management: basic   Catherine Legrand;
7.5h+10h  5 credits 1 ou 2q x x