Duration
30h Th, 30h Pr
Number of credits
| Master of Science (MSc) in Biomedical Engineering | 5 crédits |
Lecturer
Language(s) of instruction
French 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
The course is an introduction to in silico medicine, namely the use of mathematical modeling and numerical simulations in the understanding, diagnosis, treatment or prevention of diseases . It is divided in two parts. The first part will provide the fundamental principles of good modeling methodology applied to physiology and medicine. The second part will present case-studies relating concepts to clinical applications.
More specically, the course will cover the following topics.
Part I: Introduction
- Physiological complexity and the need for models
- Models and the modeling process
- Modeling the data and the system
- Model identification
- Model verification and validation
- Cardiovascular system (arterial and cardiac)
- Respiratory system
- Endocrine system (glucose-insulin models)
- Drug delivery (pharmacokinetic and pharmacodynamic modeling)
- Medical devices
Learning outcomes of the learning unit
This course aims to provide the student with insight into how mathematical models and numerical simulations can be applied to physiology and medicine.
The student will learn how to develop good modeling methodologies. He will understand how models allow to explore dynamic effects of pathophysiological processes. From numerous examples from different physiological systems, the student will also learn how mathematical models enable the estimation of physiological parameters that are nor directly measurable, which can be important in the development of new diagnostic strategies.
This course contributes to the learning outcomes I.1, I.2, II.1, II.2, III.1, III.2, IV.1, V.1, V.2, VI.2, VII.4, VII.5 of the MSc in biomedical engineering.
Prerequisite knowledge and skills
- Mathematical background of a bachelor in engineering
- Notions of signal and system analysis
- Notions of physiology
Planned learning activities and teaching methods
- Lectures on theoretical concepts
- Small group project
Mode of delivery (face to face, distance learning, hybrid learning)
Face-to-face course
Additional information:
Lectures will taught face-to-face. Project will be carried out remotely.
Recommended or required readings
Slides (PPT) are available
Reference: Cobelli, C., & Carson, E. (2019). Introduction to modeling in physiology and medicine (2nd edition). Academic Press.
Exam(s) in session
Any session
- In-person
written exam ( open-ended questions )
Written work / report
Additional information:
The evaluation is divided as follows:
- Written exam (60%)
- Project (40%)
Work placement(s)
Organisational remarks and main changes to the course
Contacts
Thomas Desaive
04/3663733
tdesaive@uliege.be
Association of one or more MOOCs
There is no MOOC associated with this course.