University of Liege | Version française
Academic year 2014-2015Value date : 12/05/2015
STAT1207-1  Applied statistics

Duration :  30h Th, 30h Pr
Number of credits :  
Bachelor in bioengineering, 3rd year5
One-year preliminary programme leading to the Master in Bioengineering5
Master en sciences agronomiques et industrie du vivant, à finalité approfondie, 1st year5
Master en sciences agronomiques et industries du vivant, à finalité spécialisée en procédé biologique de valorisation des effluents, 1st year5
Master en sciences agronomiques et industries du vivant, à finalité spécialisée en biotechnologies microbiennes, 1st year5
Master en sciences agronomiques et industries du vivant, à finalité spécialisée en xylochimie et bioraffinage, 1st year5
Lecturer :  Yves Brostaux
Language(s) of instruction :  
French language
Organisation and examination :  
All year long
Course contents :  
Conception
- sampling technics
- experimental designs
Data analysis
- assumptions
- analyses of variance
- means structure
- variance component
- linear regression
- correlation
- principal component analysis
Computer program
- statistical software : applications
Learning outcomes of the course :  
To understand classical statistical methods with applications on computer ; to present the principles of statistical designs and samplings for comparative scientific studies.
After completing the course the student is expected to
conceive a sampling and an experimental design, to analyze data by the current statistical methods (analysis of variance, regression and component analysis), to restore theoretical principles and to demonstrate methods.
Prerequisites and co-requisites/ Recommended optional programme components :  
-- STAT1206-1 - Fundamental statistics
-- INFO2037-1 - Introduction to computer science
Planned learning activities and teaching methods :  
Lectures : 30 h Practical Works : 30 h
Mode of delivery (face-to-face ; distance-learning) :  
Face-to-face
Recommended or required readings :  
Syllabus.
Assessment methods and criteria :  
Written examination (100%)
Work placement(s) :  
Organizational remarks :  
Participation in all educational activities are mandatory
Contacts :  
Brostaux, Yves (Senior lecturer) GxABT/SIMa 081 62 24 69 y.brostaux@ulg.ac.be (Jean-Jacques.Claustriaux@ulg.ac.be)

Items online :  
eCampus
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