Informatique
Formations en Informatique de Lille
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M2 : 2nd year, 3rd (fall / M2S3) and 4th (spring / M2S4) semesters
All courses take place over 24 hours, unless otherwise specified. Two refresher courses are proposed in computer science and mathematics to help students who would need some upgrade to attend the program in good conditions; taking at least one of them is mandatory and decided by the teaching team based on the student's background.
Courses of the 3rd (fall) semester
| Name | Status | Teaching hours | Credits (ECTS) |
|---|---|---|---|
| Refresher in mathematics | Optional | 24 | 3 |
| Refresher in computer science | Optional | 24 | |
| Theory of machine learning | Mandatory | 24 | 3 |
| Learning from big/tall data | Mandatory | 24 | 3 |
| Kernel machines | Mandatory | 24 | 3 |
| Sequential decision making/Reinforcement learning | Mandatory | 24 | 3 |
| Graphs and networks | Mandatory | 24 | 3 |
| Advanced methods for inference | Mandatory | 24 | 3 |
| Distributed computing | Mandatory | 24 | 3 |
| Machine learning for signal processing | Mandatory | 24 | 3 |
| Advanced data bases | Mandatory | 24 | 3 |
Courses of the 4th (spring) semester
| Name | Status | Teaching hours | Credits (ECTS) |
|---|---|---|---|
| Reading group | Mandatory | 24 | 3 |
| Seminars | Mandatory | ||
| Research project | Mandatory | 3 | |
| Data challenge | Mandatory | 1 week | 3 |
| Ethics and law | Mandatory | 24 | 3 |
| Internship | Mandatory | 16+ weeks | 18 |