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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| De 20 à 30 CREDITS parmi | ||||||||
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Contenu:
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Compulsory courses in data science
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LINMA2472
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Algorithms in data science | Vincent Blondel , Jean-Charles Delvenne (coord.) , Gautier Krings (compensates Vincent Blondel) | 30h+22.5h | 5 credits | 1q | x | x | |
Elective courses in data science
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LELEC2870
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Machine Learning : regression, dimensionality reduction and data visualization | John Lee (compensates Michel Verleysen) , Michel Verleysen | 30h+30h | 5 credits | 1q | x | x | |
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LINGI2145
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Cloud Computing | Etienne Riviere | 30h+15h | 5 credits | 1q | x | x | |
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LINGI2172
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Databases | Siegfried Nijssen | 30h+30h | 6 credits | 2q | x | x | |
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LINGI2262
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Machine Learning :classification and evaluation | Pierre Dupont | 30h+30h | 5 credits | 2q | x | x | |
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LINGI2364
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Mining Patterns in Data | Siegfried Nijssen | 30h+15h | 5 credits | 2q | x | x | |
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LSINF2275
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Data mining & decision making | Marco Saerens | 30h+15h | 5 credits | 2q | x | x | |
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LSTAT2020
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Statistical softwares and basic statistical programming | Céline Bugli | 15h+15h | 4 credits | 1q | x | x | |
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LSTAT2360
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Seminar in data management: basic | Céline Bugli | 15h+10h | 5 credits | 1q | x | x | |
