Duration
9h Th, 9h Pr
Number of credits
Lecturer
Coordinator
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
Principal component analysis
- aim
- principle
- case studies
Cluster analysis
- aim
- principle
- case studies
Discriminant analysis
- aim
- principle
- case studies
Learning outcomes of the learning unit
To learn how to make a basic mutivariate statistical analysis and how to interpret related software outputs
After completing the course the student is expected to
- identify the cases that should be analysed by principal component analysis, cluster analysis and classification,
- perform these analyses by means of a statistical software,
- correctly interpret the results of the computer output.
Prerequisite knowledge and skills
Basic skills in applied statistics, for example :
- STAT2003 et STAT2004 - Applied Statisticw (1st & 2nd part)
- HULG0149-1- Office automation
- INFO2037-1- Introduction to computer science
Planned learning activities and teaching methods
Lectures Exercises on computers
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
Lectures : 9 h
Practical Works : 9 h
Participation in all organized learning activities is mandatory
Contacts
Yves Brostaux (Senior lecturer) 081 62 24 69 y.brostaux@ulg.ac.be
Adaptation of teaching commitments following the COVID-19 pandemic for the May-June 2020 session
Teaching methods implemented : distance-learning
Assessment subjects
Assessment methods
Contacts
Adaptation of teaching commitments following the COVID-19 pandemic for the Aug-Sept 2020 session
Assessment subjects
xxx
Assessment methods
xxx
Contacts
Items online
eCampus
Course and practical sessions materials