Teacher(s)

Lee John; Missal Marcus (coordinator);

Language

French

Prerequisites

The prerequisite(s) for this Teaching Unit (Unité d’enseignement – UE) for the programmes/courses that offer this Teaching Unit are specified at the end of this sheet.

Content

(1) Necessity of a theoretical approach in neurosciences. (2) History of neural networks. (3) Most important types of neural networks
At the end of this unit, the student should be able to justify mathematical modeling of the central nervous system. The student should be able to explain the general principles of neural networks and have the knowledge and skills to simulate the behavior of elementary neural networks using MATLAB NNTool GUI.

Teaching methods

Due to the COVID-19 crisis, the information in this section is particularly likely to change.

Lectures (physically, remotely or both/comodal dep. sanitary conditions) and critical paper readings.

Evaluation methods

Due to the COVID-19 crisis, the information in this section is particularly likely to change.

Oral examination (switching to written or distancial depending on the class size and sanitary conditions).

Other information

Prerequisites: introduction to linear algebra and differential calculus.

Online resources

https://moodleucl.uclouvain.be/course/view.php?id=9189

Teaching materials

• https://moodleucl.uclouvain.be/course/view.php?id=9189

Faculty or entity

FASB