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The theme Artificial Intelligence and Data-Science is composed of the following courses (content will be added soon)

UE# of credits
1. Advanced Algorithms in Machine Learning and Data-Mining (MoSIG->MSIAM)*3 ECTS
2. Information Retrieval and Access (MoSIG->MSIAM)*3 ECTS
3. Machine Learning Fundamentals (MoSIG->MSIAM)*3 ECTS
4. Reinforcement Learning (MoSIG->MSIAM)*3 ECTS
5. Kernel Methods for Machine Learning (MSIAM->MoSIG)*3 ECTS
6. GPU computing (MSIAM->MoSIG)*6 ECTS
7. Model Selection for Large-scale Learning (MSIAM->MoSIG)*3 ECTS
8. Fundamentals of Data Processing and Distributed Knowledge*6 ECTS
9. Knowledge Representation and Reasoning*6 ECTS
10. Large scale Data-Management and Distributed systems*6 ECTS
11. Scientific Methodology and Experimental Evaluation*6 ECTS
12. Multi-agent systems3 ECTS
13. Natural Language Processing3 ECTS
14. Information Visualization*3 ECTS
15. Machine Learning for Multimodal Data*3 ECTS

'*' These courses are in the list of long training courses in AI of the Multidisciplinary Institute in Artificial Intelligence (MIAI) and open to a special certification in AI.

Courses 1.,2.,3. and 4. will be in common with Master of Science in Industrial and Applied Mathematics. For MoSIG students courses 1.&2. and 3.&4. should be taken jointly.

There is an even choice (0,2 or 4) to make (in any order) for courses 12.,13.,14. and 15.

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Page last modified on September 20, 2021, at 03:05 PM