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| STAT1210-2 | Computational statistics
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| Duration : | 24h Th, 24h Pr |
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| Number of credits : |
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| Lecturer : | Yves Brostaux |
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Language(s) of instruction :
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| French language |
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Course contents :
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| 1. Statistical calculation
- Logical analysis and structuring of an algorithm
- Symbolic methodology
- Pseudo-random number generation
- Modeling of experimental or sampling domain
- Simulation programming
- Statistical analysis of simulated data
2. Statistical software
- Statistical software typology
- Data statistical processing methodology
- File treatment of complex data matrix
- Macro programming with statistical software language
- Computer results presentation
- Computer archiving of data and result. |
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Learning outcomes of the course :
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| To build sophisticated statistical algorithms for simulation of natural phenomena with symbolic languages or statistical softwares' languages.
To learn how to use quickly and correctly statistical softwares. |
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Prerequisites and co-requisites/ Recommended optional programme components :
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| -- STAT1214-1- Fundamentals of statistical methods
-- STAT1215-1- Planning and statistical analysis
-- STAT1216-1- Linear models and statistical modelling |
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Planned learning activities and teaching methods :
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| Lectures : 24 h
Practical Works : 24 h |
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Mode of delivery (face-to-face ; distance-learning) :
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| Face-to-face |
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Recommended or required readings :
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| Several books and specific documents about statistical softwares Minitab, SAS, R, etc. |
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Assessment methods and criteria :
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| Written examination (30%)
Personal report (70%) |
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Contacts :
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| Brostaux, Yves (Chargé de cours)
Enseignement et recherche
081 62 24 69
Y.Brostaux@ulg.ac.be |
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