Students
Faculty
The theme Artificial Intelligence and Data-Science is composed of the following courses :
| UE | # of credits |
|---|---|
| 1. Advanced Machine Learning: Applications to Vision, Audio and Text (MoSIG->MSIAM) | 6 ECTS |
| 2. Natural Language Processing and Information Retrieval (MoSIG->MSIAM) | 6 ECTS |
| 3. Mathematical Foundations of Machine Learning (MoSIG->MSIAM) | 6 ECTS |
| 4. From Basic Machine Learning models to Advanced Kernel Learning (MSIAM->MoSIG) | 6 ECTS |
| 5. GPU computing (MSIAM->MoSIG) | 6 ECTS |
| 6. Statistical learning: from parametric to nonparametric models (MSIAM->MoSIG) | 6 ECTS |
| 7. Large scale Data-Management and Distributed systems | 6 ECTS |
| 8. Scientific Methodology and Experimental Evaluation | 6 ECTS |
| 9. Multi-agent systems | 3 ECTS |
| 10. Information Visualization | 3 ECTS |
| 11. Fundamentals of Data Processing and Distributed Knowledge | 6 ECTS |
Courses 4. 5. and 6. are from Master of Science in Industrial and Applied Mathematics. Courses 9. & 10. should be taken jointly.