> Légende ![]() |
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Bloc annuel | ||||||||
1 | 2 | |||||||
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Data Mining
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Tim Verdonck | 15h+15h | 5 crédits | 2q | x | ||
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Data Management I: programmation de base en SAS | Céline Bugli | 15h+10h | 5 crédits | 1q | x | x | |
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Data management II : programmation avancée en SAS
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Christophe Kabacinski | 15h+10h | 6 crédits | 2q | x | ||
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Data science for insurance and finance | Donatien Hainaut | 15h | 3 crédits | 1q | x | x | |
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Machine Learning : regression, dimensionality reduction and data visualization | John Lee (supplée Michel Verleysen) , Michel Verleysen | 30h+30h | 5 crédits | 1q | x | ||
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Machine Learning : classification and evaluation | Pierre Dupont | 30h+30h | 5 crédits | 2q | x | x | |
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Algorithms in data science | Vincent Blondel , Jean-Charles Delvenne (coord.) , Gautier Krings (supplée Vincent Blondel) | 30h+22.5h | 5 crédits | 1q | x | x | |
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Data mining and decision making | Marco Saerens | 30h+15h | 5 crédits | 2q | x |
Option 2 : Data science
stat2m 2019-2020 Louvain-la-Neuve