Option in biomedical engineering

This option is common to most engineering Master’s curricula. It aims to train engineers who can meet future technological challenges in the scientific and technical fields related to biomedical engineering. It will provide students with basic knowledge in various fields of biomedical engineering such as bioinstrumentation, biomaterials, medical imaging, mathematical modelling, artificial organs and rehabilitation, biomechanics. Thanks to a collaboration between the Faculties of applied sciences and medicine, the training aims to give the students an interdisciplinary approach where engineering is applied to the complex and varied biomedical world.

Legend
Mandatory Optional Courses not taught this academic year Periodic courses not taught this academic year Periodic courses taught this academic year Two year courses
Click on the course code to see detailed informations (objectives, methods, evaluation...)
						Year
						1	2
The student shall select from 15 to 30 credits among
Compulsory courses in biomedical engineering Students who have chosen this option shall select at least 15 credits from amongst the following compulsory courses, except engineering Master's students in computer science who shall take 30 credits including LGBIO 2010.
LGBIO2010	Bioinformatics	Yves Deville, Michel Ghislain	30h + 30h	5credits	2q	x	x
LGBIO2020	Bioinstrumentation	André Mouraux, Michel Verleysen	30h + 30h	5credits	1q	x	x
LGBIO2030	Biomaterials	Sophie Demoustier, Christine Dupont, Gaëtane Leloup (coord.)	30h + 30h	5credits	2q	x	x
LGBIO2040	Biomechanics	Emilie Marchandise	30h + 30h	5credits	2q	x	x
LGBIO2050	Medical Imaging	Anne Bol, John Lee (supplée Benoît Macq), Benoît Macq, Frank Peeters	30h + 30h	5credits	1q	x	x
LGBIO2060	Modeliing of biological systems	Philippe Lefèvre	30h + 30h	5credits	1q	x	x
LGBIO2070	Artificial organs and rehabilitation	Luc-Marie Jacquet, Philippe Lefèvre, Renaud Ronsse	30h + 30h	5credits	2q	x	x
Elective courses in biomedical engineering for ELEC students
LELEC2870	Machine Learning : regression, dimensionality reduction and data visualization	Michel Verleysen	30h + 30h	5credits	1q	x	x
LELEC2885	Image processing and computer vision	Christophe De Vleeschouwer (coord.), Laurent Jacques (supplée Benoît Macq), Benoît Macq	30h + 30h	5credits	1q	x	x