Duration
2h Th, 22h Pr
Number of credits
| Bachelor in bioengineering | 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
Methodology
- Bottom-up and top-down analysis
- Information structure
- Principles of algorithm construction
Symbolic programming (Python)
- Variable dimensionning
- Variable assignment
- Repeated structures
- Alternative structures
- Files access
- Functions and routines
- Iteration
- Ranking
Learning outcomes of the learning unit
This course contribute to the acquisition of the following skills:
- Structuring of thoughts
- Splitting a complex problem into easy to solve sub-problems
- Coding a script in Python
- Developing a methodological rigor
- Seeing the interest of programming in bio-engineering
- Favorising the use of programming in bio-engineering
Prerequisite knowledge and skills
-- INFO2037-1- Introduction to computer science
Planned learning activities and teaching methods
The course is organized around:
- 1 face-to-face session (2h) in a large auditorium
- 6 e-learning modules + Homeworks
- 6 practical sessions in group (voluntary basis)
Mode of delivery (face to face, distance learning, hybrid learning)
Blended learning (face-to-face and e-learning)
Recommended or required readings
Syllabus and also the available informations on e-campus related to the course.
Exam(s) in session
Any session
- In-person
written exam ( open-ended questions )
Additional information:
The exam will consist of realizing a Python script.
BE CAREFUL, participation in the exam will be allowed only if the student has participated in all the practical sessions for which he/she has not passed the pre-test.
Yellow code: The exam will be done on the computer of the faculty
Orange code: The exam will be done virtually on a personal computer using e-campus platform. The script will be separated by task and a duration will be fixed to solve each task. This will allow avoiding the cheating.
Work placement(s)
Organisational remarks and main changes to the course
The student will check the hyperplanning and the sent e-mails to be informed about the scheduled, working places and the different proposed learning activities.
Contacts
Soyeurt, Hélène Professor 081 62 25 35 hsoyeurt@uliege.be
Association of one or more MOOCs
Items online
eCampus
Course and practical sessions materials