Duration
12h Th, 12h Pr
Number of credits
Lecturer
Coordinator
Language(s) of instruction
French language
Organisation and examination
Teaching in the first semester, review in January
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
Conception - sampling technics - experimental designs Data analysis - assumptions - basic analysis of variance - multiple means comparison - variance component Computer program - statistical software : applications
Learning outcomes of the learning unit
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 with one ou two factors, crossed fixed model), to restore theoretical principles and to demonstrate the validity of associated methods.
Prerequisite knowledge and skills
-- STAT2002 and STAT2003 - Fundamental statistics (1st & 2nd part) -- INFO2037-1 - Introduction to computer science
Planned learning activities and teaching methods
Lectures : 12 h Practical Works : 12 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)