Duration
12h Th, 12h Pr
Number of credits
Lecturer
Coordinator
Language(s) of instruction
French language
Organisation and examination
Teaching in the second semester
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
Data analysis - analyses of variance (advanced models) - linear regression - correlation - covariance analysis Computer program - statistical software : applications
Learning outcomes of the learning unit
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 the adequation of associated methods.
Prerequisite knowledge and skills
-- STAT2002 and STAT2004 - Fundamental statistics (1st & 2nd part)
-- INFO2037-1 - Introduction to computer science
Corequisitive
--STAT2004 - Applied statistics (1st part)
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)