| STAT0078-1 | ||||||||
| Practice of statistical consultancy | ||||||||
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Duration :
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| 20h Th, 20h Mon. WS | ||||||||
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Number of credits :
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Lecturer :
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| Gentiane Haesbroeck | ||||||||
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Language(s) of instruction :
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| French language | ||||||||
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Organisation and examination :
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| Teaching in the first semester, review in January | ||||||||
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Units courses prerequisite and corequisite :
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| Prerequisite or corequisite units are presented within each program | ||||||||
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Learning unit contents :
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| The course is based on consultancy sessions organised in order to answer to statistics questions that PhD students or researchers of the Faculty of Sciences have. | ||||||||
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Learning outcomes of the learning unit :
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| After the course, the student should be able to
- translate in statistical terms concrete problems encountered by practitioners; - find adequate solutions to solve those problems; - explain, in a comprehensive way to non-specialists, the results of the statistical analyses that were performed; - to write a short summary of the statistical techniques in order to include it in a scientific paper. |
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Prerequisite knowledge and skills :
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| The courses of statistics organised during the odd years are co-requisite. | ||||||||
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Planned learning activities and teaching methods :
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| Only one ex-cathedra session is organised in order to specify the main rules. After that, the planning will be decided depending on the consultancy queries. | ||||||||
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Mode of delivery (face-to-face ; distance-learning) :
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| Partly face-to-face (meeting with the researchers) and partly at home. | ||||||||
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Recommended or required readings :
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| None | ||||||||
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Assessment methods and criteria :
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| The assessment takes the whole process into account (from the meeting with the researchers to the writing of the extract of the scientific paper). | ||||||||
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Work placement(s) :
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Organizational remarks :
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| The course is organised only on odd years (2017-2018 is the next session).
In order to register for this cours, a student must either be registered in the statistics orientation of the mathematics master or have chosen the two other courses of statistics proposed in the master program. The course is adequate only for students who have decided to specialize in statistics. |
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Contacts :
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| G. Haesbroeck | ||||||||