Option 2 : Data science

 
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Mandatory Optional
Course not taught in 2020-2021 Periodic course not taught in 2020-2021
Periodic course taught in 2020-2021 Activity with prerequisites
Click on the course title to see detailed informations (objectives, teaching methods, evaluation...)
The student will validate this option if he/she obtains between 15 and 30 credits among the following courses.
Annual unit
  1 2

Mandatory Content:
Mandatory LDATS2350 Data Mining   Robin Van Oirbeek
15h+15h  5 credits q2   x
Mandatory LDATS2360 Seminar in data management: basic   Céline Bugli
15h+10h  5 credits q1 x x
Optional LDATS2370 Data Management II : SAS ADVANCED PROGRAMMING   Christophe Kabacinski
15h+10h  5 credits q2   x
Optional LDATS2310 Data science for insurance and finance   Donatien Hainaut
15h  3 credits q1 x x
Optional LELEC2870 Machine learning : regression, deep networks and dimensionality reduction   John Lee
, Michel Verleysen
30h+30h  5 credits q1   x
Optional LINGI2262 Machine Learning :classification and evaluation   Pierre Dupont
30h+30h  5 credits q2   x
Optional LINMA2472 Algorithms in data science   Jean-Charles Delvenne (coord.)
, Gautier Krings (compensates Vincent Blondel)
30h+22.5h  5 credits q1 x x
Optional LSINF2275 Data mining & decision making   Marco Saerens
30h+15h  5 credits q2   x