Teacher(s)
Language
English
> French-friendly
> French-friendly
Learning outcomes
At the end of this learning unit, the student is able to : | |
| 1 |
With respect to the AA referring system defined for the Master in Biomedical Engineering, the course contributes to the development, mastery and assessment of the following skills :
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Content
- specifics of measurements and instruments in clinic and biology
- electric and magnetic stimulation and recording
- use of other energy types (indications, methods and interest)
- safety notions (patient and user protection, asepsis and sterilization, device compatibility)
- application examples, especially those requiring a mathematical analysis (ECG, EEG, evoked potentials, etc..)
- descriptive methods of data analysis
- single- and multi-variable analysis
- linear and non-linear regression
- classification
- principal components analysis
- frequency analysis of signals, spectrum and sampling
Teaching methods
- Ex-cathedra course.
- Practical sessions on computers supervised by teaching assistants.
- Meetings with biomedical instrument users and/or manufacturers (hospitals, pharmacology industry, and instrument manufacturers).
- Project to be carried out by group of 1-2 students aiming to apply concepts covered during the lessons and practical sessions.
Evaluation methods
The assessment consists of two parts.
The oral examination may be converted into a written examination depending on external circumstances, including the number of students enrolled in the course.
- An assignment to be completed during the semester, which is the subject of questions in the oral examination.
- An oral examination on the course and practical sessions.
The oral examination may be converted into a written examination depending on external circumstances, including the number of students enrolled in the course.
Other information
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Online resources
Bibliography
Les transparents présentés lors des exposés théoriques, de même que quelques articles scientifiques de référence, sont disponibles sur Moodle.
Faculty or entity
Programmes / formations proposant cette unité d'enseignement (UE)
Title of the programme
Sigle
Credits
Prerequisites
Learning outcomes
Master [120] in Chemical and Materials Engineering
Master [120] in Biomedical Engineering
Master [120] in Statistics: Biostatistics
Master [120] in Electrical Engineering
Master [120] in Chemistry and Bioindustries
Master [120] in Computer Science and Engineering
Master [120] in Computer Science
Master [120] in Electro-mechanical Engineering
Master [120] in Mathematical Engineering