Major in Data science

map2m  2019-2020  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.


 
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The student may choose

De 20 à 30 CREDITS parmi
Annual block
  1 2

Mandatory Contenu:
Mandatory Compulsory courses in data science
Mandatory LINMA2472 Algorithms in data science   Vincent Blondel
, Jean-Charles Delvenne (coord.)
, 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   Etienne Riviere
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 LINGI2364 Mining Patterns in Data   Siegfried Nijssen
30h+15h  5 credits 2q x x
Optionnal LSINF2275 Data mining & decision making   Marco Saerens
30h+15h  5 credits 2q x x
Optionnal LSTAT2020 Statistical softwares and basic statistical programming   Céline Bugli
15h+15h  4 credits 1q x x
Optionnal LSTAT2360 Seminar in data management: basic   Céline Bugli
15h+10h  5 credits 1q x x