Duration
10h Th, 10h Mon. WS
Number of credits
| Master MSc. in Biomedical Engineering, professional focus | 2 crédits | |||
| Master MSc. in Data Science, professional focus | 2 crédits | |||
| Master MSc. in Data Science and Engineering, professional focus | 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
This course of Introduction to Systems Biology presents many methods of inference and even validation of metabolic, transcriptomic and proteins networks out of NGS data.
The exercises are performed mostly on the computer using the language R. At this level, basic knowledge in R is considered granted.
Learning outcomes of the learning unit
The objective of this course is to 1) master and 2) be able to use simple methods of biological systems modelisation and analysis.
Prerequisite knowledge and skills
Prerequisite
- Biological Data Analysis with R (STAT0077 or OCEA0224,...)
Planned learning activities and teaching methods
The course is divided in two parts, the first one theoretical and the second one more practical, makes use of the concepts introduced in the first part.
Mode of delivery (face to face, distance learning, hybrid learning)
Remote course
Further information:
This course is essentially online through videos of theoretical materials, webpages of online exercises and videos of resolution of exercises.
The Rstudio software is freely available and our RStudio server can be made available via a web navigator to allow students to perform the practical sessions online (as well as interros and exams). The Ecampus forums are also available for online questions and answers.
Ecampus interrogations can be scheduled at the end of some course (see schedule on the web page of the course). These short evaluations helps the student understand the tools for the final evaluation and those can also contribute to the final grading of the course (also specified on the first course).
Course materials and recommended or required readings
Other site(s) used for course materials
- Site web du cours (www.bioinfo.uliege.be/classes/BIOL0021/)
Further information:
Practical information are available at the following link www.bioinfo.uliege.be/classes/BIOL0021/
Exam(s) in session
Any session
- In-person
oral exam
Out-of-session test(s)
Further information:
Each student is evaluated through an oral exam. Typically a few theoretical questions are asked.
An interrogation that can exempt from the oral exam can sometimes take place. In this case, it has practical questions quite similar to those presented during the practical sessions. (All the details are given on the webpage of the course)
Work placement(s)
Organisational remarks and main changes to the course
There are 5 theoretical lessons (2h each) followed each by a practical session (also 2h). All the lessons are given online but some Q&A sessions face to face can take place.
Contacts
Teaching Assistant: bioinformatics@uliege.be
Prof. Patrick Meyer
Life Sciences Department
email: patrick.meyer@uliege.be