Duration
10h Th, 20h Pr
Number of credits
| Master in biomedicine (120 ECTS) | 3 crédits | |||
| Master in biomedicine (120 ECTS) | 4 crédits |
Lecturer
Language(s) of instruction
English 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
Introduction to RStudio
Importation and data manipulation
Descriptive statistics
Graphic Construction (ggplot)
Statistical inference
Programming with R (If else)
Programming with R (Loop)
Programming with R (Function)
Learning outcomes of the learning unit
The objective of the course is to introduce student to R programming
Prerequisite knowledge and skills
STAT1001-1 et STAT0420
Planned learning activities and teaching methods
Each course will switch between theory and practice with the RStudio software. One lesson will be dedicated to an introduction of this software.
Mode of delivery (face to face, distance learning, hybrid learning)
Blended learning
Additional information:
The course will be given in a flipped classroom format. Students will be invited to see the material by themselves with the help of videos. Regular question and answer sessions will be organised to answer students' questions.
Recommended or required readings
Slides as well as databases used during the courses will be made available to the students.
Written work / report
Additional information:
Written exam - programming projet.
Work placement(s)
Organisational remarks and main changes to the course
Contacts
* Anne-Françoise DONNEAU (Lecturer), Quartier Hôpital, Avenue Hippocrate, 13 - Bât 23, 4000 Liège - Belgique. Email: afdonneau@uliege.be
* Assistant : Justine MONSEUR, Quartier Hôpital, Avenue Hippocrate, 13 - Bât 23, 4000 Liège - Belgique. Email: jmonseur@uliege.be