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 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 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 their homework assignments, which will require performing independent searches for additional information, beyond - but related to - the class material.
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, hybrid learning)
In-person, online depending on COVID-19 evolutions.
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
http://bio3.giga.ulg.ac.be/archana_bhardwaj/?Courses
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, as well as having taken the exam. The written exam covers material from both the theoretical and practical sessions.
Thr exam will take place "on line", see details in your Calendar MyULiege- Celcat.
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
Franck Dequiedt - e-mail fdequiedt@uliege.be
Preferred contact mode: e-mail (include GBIO0002 in the subject title) or personal contact, after a lecture or by appointment. Online meetings when the COVID-19 situation requires this.