Duration
30h Th, 15h Pr, 15h Proj.
Number of credits
Lecturer
Coordinator
Language(s) of instruction
English 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
In this course genetic concepts are introduced that are necessary to understand a selection of bioinformatics related data analysis problems. To solve these problems a variety of analytic tools will be explained and exemplified. Different topics typically include:
- The genome and genetic markers [genetics]
- Genome-wide association studies [analytics]
- Sequence technologies [genetics]
- Sequence comparisons [analytics]
- The transcriptome and proteome [genetics]
- Discover biological interactions [analytics]
Learning outcomes of the learning unit
At the end of the course, students have acquired knowledge about genetics (in particular genomics, transcriptomics, technology-related aspects) and about a selection of state-of-the-art, yet basic, analytic tools. Students will be evaluated about key concepts related to genetics and the analytic approaches presented during the course (incl. pros and cons, general contexts).
This course contributes to the learning outcomes I.1, I.2, II.1, II.2, III.1, III.2, III.3, V.2, VI.1, VI.2, VII.1, VII.2, VII.3, VII.4, VII.5 of the BSc in engineering.
This course contributes to the learning outcomes I.1, I.2, II.1, II.2, III.1, III.2, III.3, V.2, VI.1, VI.2, VII.1, VII.2, VII.3, VII.4, VII.5 of the MSc in computer science and engineering.
Prerequisite knowledge and skills
A background in biomedicine is a pro, but not essential.
Planned learning activities and teaching methods
The course is primarily based on interactive ex-cathedra lectures and discussion sessions based on practical examples. The latter allow students to become more familiar with the theoretical concepts introduced during the theory classes, and to broaden views on "genetics and bioionformatics" applications. They prepare students to successfully carry out group assignments, which will require performing independent searches for additional information, beyond - but related to - the class material.
Mode of delivery (face to face, distance learning, hybrid learning)
Blended learning
Further information:
The course will be in-person, but occasionally online (for instance, for COVID-19 evolutions, guest speakers). It will be divided into two consecutive blocks, covering elements of Genetics and Bioinformatics.
Course materials and recommended or required readings
Platform(s) used for course materials:
- eCampus
Further information:
There is no single text book that covers all aspects of the course. Course note materials (slides and supporting documentation as reference) will be provided during the course.
Exam(s) in session
Any session
- In-person
written exam ( multiple-choice questionnaire, open-ended questions )
Further information:
In the first session, students are assessed through a written exam. The questions are compiled by the respective tutors on the basis of the materials they presented or referred to during the course.
Work placement(s)
Organisational remarks and main changes to the course
The course will be given in English / French
The course is organized in the first quadrimestre. The detailed calendar and announcements are available on the course website.
Contacts
Kristel Van Steen - e-mail kristel.vansteen@uliege.be
More specifically:
Block I (Genetics): Franck Dequiedt - e-mail fdequiedt@uliege.be
Block II (Bioinformatics): Kristel Van Steen - e-mail kristel.vansteen@uliege.be
Preferred contact mode: e-mail (include GBIO0002 in the subject title) or personal contact, after a lecture or by appointment.