Duration
12h Th, 12h Pr
Number of credits
| Bachelor in bioengineering | 2 crédits |
Lecturer
Coordinator
Language(s) of instruction
French language
Organisation and examination
Teaching in the second semester
Schedule
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, hybrid learning)
Face-to-face
Organisational adjustments related to the current health context
Recommended or required readings
Syllabus.
Assessment methods and criteria
Below you will find information on the evaluation methods planned for in-person and remote exams as well as those planned for hybrid sessions. Depending on how the health crisis evolves, the chosen method will be communicated to you no later than one month before the start of the exam session.
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)
Organizational remarks
Participation in all educational activities are mandatory
Contacts
Brostaux, Yves (Senior lecturer) GxABT/SIMa 081 62 24 69 y.brostaux@uliege.be