Duration
25h Th, 15h Pr, 35h Proj.
Number of credits
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
In this course we focus on "from statistical to biological interactions". The course is not a classic course but a project-driven one, with face-to-face meeting moments to give theoretical and practical background information.
The actual content of the course may be adapted during the year, depending on needs of the students. Theoretical parts may look as follows:
"From statistical to biological interactions:
- Biological interactions (what, why, how)
- Statistical interactions (what, why, how)
- Bridging the gap between both (what, why, how)
Learning outcomes of the learning unit
The following aspects of the analysis pipeline constitute "learning outcomes": 1) data cleansing (quality control), 2) selection of the appropriate tool and correct implementation of it, 3) understanding the pros and cons of the selected tool, 4) grasping the analysis context, 5) being able to adequately interpret the analysis results.
This course contributes to the learning outcomes II.1, II.2, II.3, III.1, III.2, III.3, III.4, IV.1, IV.2, VI.1, VI.2, VI.4, VII.3, VII.4, VII.5 of the MSc in biomedical engineering.
This course contributes to the learning outcomes II.1, II.2, II.3, III.1, III.2, III.3, III.4, IV.1, IV.2, VI.1, VI.2, VI.4, VII.3, VII.4, VII.5 of the MSc in computer science and engineering.
Prerequisite knowledge and skills
A background in biostatistics, (bio)informatics or statistical genetics is a pro. Alternatively, one has taken either one of the following courses: GBIO0002, GBIO0009.
Planned learning activities and teaching methods
The course is a project-driven one: assignments are given that, all together, constitute a project. Approximately 4 theoretical sessions are organized, during which general aspects related to the project work are explained (see "course content"). In-between sessions may be organized to help out the students with the practical work (upon request).
Mode of delivery (face to face, distance learning, hybrid learning)
In-person or online depending on COVID-19 evolutions.
Course materials and recommended or required readings
Platform(s) used for course materials:
- eCampus
Further information:
There is no mandatory textbook. Useful references will be given as the course progresses. All course material is posted on the course website.
Exam(s) in session
Any session
- In-person
oral exam
Further information:
Students are assessed via project work, the defense of which serves as oral exam. This holds true for both examination sessions (i.e., in June and in September).
Evaluation criteria are:
- the clarity of the presented work (via slides + report)
- correctness and accuracy
- originality and provided background information (with links to the theoretical course notes)
- presentation skills
- general understanding (assessed via questions-answers while discussing the presented work)
Work placement(s)
Organisational remarks and main changes to the course
Course language: English
The course is organized in the second semester. The detailed calendar and announcements are available on the course website.
Depending on the number of students who enrol on this course, content and practical organization of group work may be adapted, to maximize the experience in a multi-disciplinary environment.
Contacts
Kristel Van Steen - e-mail kristel.vansteen@ulg.ac.be
Assistant: to be communicated
Preferred contact mode: e-mail (include GBIO0030 in the subject title) or personal contact, after a lecture or by appointment. Online meetings when the COVID-19 situation requires doing so.