Study Programmes 2017-2018
Genetics and bioinformatics
Duration :
30h Th, 15h Pr, 15h Proj.
Number of credits :
Bachelor in engineering5
Master in biomedical engineering (120 ECTS)5
Master in data science (120 ECTS)5
Master of science in computer science and engineering (120 ECTS)5
Master in data science and engineering (120 ECTS)5
Master in computer science (120 ECTS)5
Lecturer :
Franck Dequiedt, Kristel Van Steen
Coordinator :
Kristel Van Steen
Language(s) of instruction :
English language
Organisation and examination :
Teaching in the first semester, review in January
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).
Prerequisite knowledge and skills :
A background in biomedicine or informatics are a pro, but not essential.
Planned learning activities and teaching methods :
The course is in part based on interactive ex-cathedra lectures and in part on interactive practical sessions. The exercise sessions allow students to become familiar with the theoretical concepts introduced during the theory classes. They prepare students to successfully carry out their  homework assignments.
Regarding the homework assignments, two homework styles may be presented: 1) literature-based (i.e., discussing a paper related to the class topic); 2) a classic style homework which may involve a mix of theoretical questions and data analysis assignments. Students can work in groups. At the end of the course, each group should have selected each homework style at least once. The literature-based homeworks will be discussed and presented in class.
Mode of delivery (face-to-face ; distance-learning) :
Recommended or required readings :
There is no mandatory textbook. Useful references will be given as the course progresses. All course material is posted on the course website, which is accessible via:
Assessment methods and criteria :
Students are assessed via homework assignments and on the basis of a written exam in the first session. Submitting all homeworks in time is essential to pass the course.
In the second session, students will need to retake the 2 homework assignments (one for "genetics" and one for "bioinformatics) for which they performed worst, possibly adapted, and have to retake the written exam. 
The written exams cover material from both the theoretical and practical sessions.
Work placement(s) :
Organizational remarks :
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
Franck Dequiedt - e-mail
TA: to be determined
Preferred contact mode: e-mail (include GBIO0002 in the subject title) or personal contact, after a lecture or by appointment