Duration
6h Th, 12h Pr.
Number of credits
| Master in agricultural bioengineering, professional focus | 2 crédits |
Lecturer
Jean-François Bastin, Yves Brostaux, Nicolas Gengler, Hélène Soyeurt
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
Preparation and compilation of various scientific data sources for analysis
Exploration, visualization and validation of multivariate data
Generation of data analysis reports
Learning outcomes of the learning unit
Learn the basics of data preparation and validation
At the end of the course, students should be able to
- Compile scientific data from different sources
- Explore, visualize and validate data
- Generate automated data analysis reports
Prerequisite knowledge and skills
Fundamentals of multivariate analysis and programming, as taught in STAT1213 Multivariate Statistical Analysis 1 and INFO2038 Computer Science and Algorithms
Planned learning activities and teaching methods
Ex cathedra lectures and practical work
Mode of delivery (face to face, distance learning, hybrid learning)
Face-to-face course
Further information:
Face to face
Course materials and recommended or required readings
Platform(s) used for course materials:
- eCampus
Further information:
Support materials available on eCampus
Exam(s) in session
Any session
- In-person
written exam ( multiple-choice questionnaire, open-ended questions )
Work placement(s)
Organisational remarks and main changes to the course
Contacts
Pr Y. Brostaux
y.brostaux@uliege.be