Course label : | BME114 Mathematics for biomedical engineering |
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Teaching departement : | MSO / Structures, Mechanisms and Construction |
Teaching manager : | Mister OLIVIER MAYEUR |
Education language : | |
Potential ects : | 1 |
Results grid : | |
Code and label (hp) : | MR_BME_S1_MSO_MBE - BME114 Mathematics |
Education team
Teachers : Mister OLIVIER MAYEUR
External contributors (business, research, secondary education): various temporary teachers
Summary
By achieving this class, you will develop and gain a thorough understanding of scalar, vector, matrix and tensor, solving of linear and nonlinear systems of equation, integral and differential (ODEs, PDEs) calculus, some basic signal and image processing methods, probability calculus and uncertainty quantification. Chapter 1. Scalar, vector, matrix and tensor Chapter 2. Systems of linear and nonlinear equations Chapter 3. Integral and Differential Calculus Chapter 4. Basics for image and signal processing Chapter 5. Probability and statistics
Educational goals
This course aims to review basic mathematic knowledge for a biomedical engineer. Moreover, some Python-based implementations of numerical methods are studied.
Sustainable development goals
Knowledge control procedures
Final Exam
Comments:
Online resources
LMS learning management system (Moodle) with all course documents, corrected exercises, publication, forum.
Pedagogy
Lectures, Practices, Homework Examples and application based on illustrations and concrete situations from biomedical engineering and research.
Sequencing / learning methods
Number of hours - Lectures : | 0 |
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Number of hours - Tutorial : | 0 |
Number of hours - Practical work : | 0 |
Number of hours - Seminar : | 15 |
Number of hours - Half-group seminar : | 0 |
Number of student hours in TEA (Autonomous learning) : | 0 |
Number of student hours in TNE (Non-supervised activities) : | 0 |
Number of hours in CB (Fixed exams) : | 0 |
Number of student hours in PER (Personal work) : | 0 |
Number of hours - Projects : | 0 |