Duration
12h Th, 12h Pr
Number of credits
| Bachelor in bioengineering | 2 crédits |
Lecturer
Language(s) of instruction
French language
Organisation and examination
Teaching in the first semester, review in January
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
Design
- sampling technics
- experimental designs
Data analysis
- assumptions
- basic analysis of variance and linear regression
- 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 (one way analysis of variance, simple linear correlation and regression), 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, hybrid learning)
Face-to-face
Course materials and recommended or required readings
Syllabus and slides.
Any session :
- In-person
written exam ( open-ended questions )
- Remote
written exam ( multiple-choice questionnaire, open-ended questions )
- If evaluation in "hybrid"
preferred in-person
Additional information:
Written examination (100%)
Work placement(s)
Organisational remarks and main changes to the course
Participation in all educational activities are mandatory
Contacts
Brostaux, Yves (Senior lecturer) GxABT/SIMa 081 62 24 69 y.brostaux@uliege.be