> Legend 
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The elective courses being recommended and available for Master students in Data Sciences Engineering are listed here above, in the majors and other lists of elective courses. However, a student can further suggest other courses that would be relevant for his.her personal curriculum, pending that this is compliant with the rules for setting up a personal Master program. |
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Contenu:
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Statistics
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LSTAT2200
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Survey and Sampling | Marie-Paule Kestemont | 15h+5h | 4 credits | 2q | x | x | |
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LSTAT2380
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Statistical consulting | Christian Ritter | 30h | 5 credits | 1 + 2q | x | x | |
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LSTAT2390
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Applied statistics workshops | Catherine Legrand , Christian Ritter | 15h | 3 credits | 1 + 2q | x | x | |
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LSTAT2150
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Nonparametric statistics: smoothings methods | Rainer von Sachs | 15h+5h | 4 credits | 1q | x | x | |
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Machine learning, vision and artificial intelligence
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LELEC2885
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Image processing and computer vision | Christophe De Vleeschouwer (coord.) , Laurent Jacques | 30h+30h | 5 credits | 1q | x | x | |
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LGBIO2010
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Bioinformatics | Pierre Dupont | 30h+30h | 5 credits | 1q | x | x | |
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LINGI2263
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Computational Linguistics | Pierre Dupont , Cédrick Fairon | 30h+15h | 5 credits | 1q | x | x | |
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LINGI2348
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Information theory and coding | Jérôme Louveaux , Benoît Macq , Olivier Pereira | 30h+15h | 5 credits | 2q | x | x | |
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LINGI2369
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Artificial intelligence and machine learning seminar | Pierre Dupont , Siegfried Nijssen | 30h | 3 credits | 1q | x | x | |
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Data structures and algorithms for data analysis
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LSINF2345
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Languages and algorithms for distributed Applications | Peter Van Roy | 30h+15h | 5 credits | 1q | x | x | |
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LELEC2770
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Privacy Enhancing technology | Olivier Pereira (coord.) , François-Xavier Standaert | 30h+30h | 5 credits | 1q | x | x | |
Elective courses available for Master students in Data Sciences Engineering
dati2m 2019-2020 Louvain-la-Neuve
