> Legend ![]() |
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![]() L'étudiant choisit maximum une UE parmi LSTAT2120 et LBIRA2101. Les UE LSTAT2360 et LSTAT2370 sont accessibles uniquement pour les étudiants du Bachelier en sciences informatiques. |
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Data exploration and introduction to statiscal inference | Anouar El Ghouch | 30h+30h | 5 credits | 2q | x | x | |
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Statistical softwares and basic statistical programming | Céline Bugli | 15h+15h | 4 credits | 1q | x | x | |
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Data Analysis | Johan Segers | 30h+7.5h | 5 credits | 1q | x | x | |
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Linear models | Christian Hafner | 30h+7.5h | 5 credits | 1q | x | x | |
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Biometry : analysis of the variance | Xavier Draye (coord.) , Bernadette Govaerts | 30h+15h | 4 credits | 1q | x | x | |
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Introduction to Bayesian statistics | Philippe Lambert | 15h+5h | 4 credits | 2q | x | x | |
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Survey and Sampling | Marie-Paule Kestemont | 15h+5h | 4 credits | 2q | x | x | |
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Statistical quality control. | Bernard Francq (compensates Bernadette Govaerts) , Bernadette Govaerts | 15h+5h | 4 credits | 1q | x | x | |
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Design of experiment. | Patrick Bogaert , Bernadette Govaerts | 22.5h+7.5h | 5 credits | 2q | x | x | |
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Statistics in clinical trials. | Catherine Legrand , Annie Robert | 22.5h+7.5h | 5 credits | 2q | x | x | |
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Seminar in data management: basic | Céline Bugli | 15h+10h | 5 credits | 1q | x | x | |
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Data Management II : SAS ADVANCED PROGRAMMING | Christophe Kabacinski | 15h+10h | 6 credits | 2q | x | x | |
![]() L'étudiant choisit maximum une UE parmi LINFO1101 et LINGE1225. Max=10 CREDITS parmi |
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Méthodes numériques | Vincent Legat | 30h+30h | 5 credits | 2q | x | x | |
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Introduction à la programmation | Kim Mens , Siegfried Nijssen , Charles Pecheur | 30h+30h | 5 credits | 1q | x | x | |
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Conception orientée objet et gestion de données | Kim Mens | 30h+30h | 5 credits | 2q | x | x | |
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Programming in Economics and Management | Marco Saerens | 22.5h+22.5h | 4 credits | 1q | x | x | |
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Optimization models and methods I | François Glineur | 30h+22.5h | 5 credits | 2q | x | x | |
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Algorithmics and data structures | Pierre Schaus | 30h+30h | 5 credits | 1q | x | x |
Approfondissement en statistique et sciences des données [30.0]
app-lstat100p 2019-2020