| STAT2005-1 | ||
| Applied statistic : Second part | ||
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Duration :
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| 12h Th, 12h Pr | ||
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Number of credits :
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Lecturer :
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| Yves Brostaux | ||
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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 second semester | ||
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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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| Data analysis - analyses of variance (advanced models) - linear regression - correlation - covariance analysis Computer program - statistical software : applications | ||
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Learning outcomes of the learning unit :
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| To understand classical statistical methods with applications on computer ; to master the general principles of statistical analysis of data and their interpretation. After completing the course the student is expected to analyze data by the current statistical methods (analysis of variance, regression and covariance analysis), to restore theoretical principles and to demonstrate methods. | ||
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Prerequisite knowledge and skills :
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| -- STAT2002 and STAT2004 - Fundamental statistics (1st & 2nd part)
-- INFO2037-1 - Introduction to computer science
Corequisitive --STAT2004 - Applied statistics (1st part) |
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Planned learning activities and teaching methods :
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| Lectures : 12 h Practical Works : 12 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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| Syllabus. | ||
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Assessment methods and criteria :
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| Written examination (100%) | ||
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Work placement(s) :
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Organizational remarks :
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| Participation in all educational activities are mandatory | ||
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Contacts :
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| Brostaux, Yves (Senior lecturer) GxABT/SIMa 081 62 24 69 y.brostaux@ulg.ac.be (Jean-Jacques.Claustriaux@ulg.ac.be) | ||