Mastère de Recherche En Sciences de l'Informatique et de Multimédia (MRSIM)

This course introduces collective intelligence as a computational paradigm for designing distributed, multi-agent, and human–AI systems. Students explore algorithms, architectures, and real-world applications that enable intelligent behavior to emerge from interaction, collaboration, and coordination. The course emphasizes practical and research-oriented approaches to building scalable, robust collective intelligence systems in computer science and artificial intelligence.

By the end of this course, students will be able to:

1. Model collective intelligence (CI) systems computationally

2. Design and evaluate distributed and multi-agent CI architectures

3. Apply swarm intelligence and crowdsourcing algorithms

4. Integrate human and machine intelligence effectively

5. Analyze robustness, ethics, and failure modes of CI systems