Courses and teaching

Ongoing

• Distributed Constraint Processing (at Université de Toulouse, Master ISMAG)  
• Linear Programming (at ISAE-Supaero)
• Integer Linear Programming (at ISAE-Supaero)
• Computational complexity (at ISAE-Supaero)
• Optimization for Space System Design and Operations (at ISAE-Supaero)

Last classes at EMSE

• Master Program on Cyber-Physical-Social Systems (CPS2)
• Artificial intelligence (30 students, M1 level)
• Introduction to Logics (130 students, L3 level)
• Multi-Agent Systems (60 students, M2 level)    
• Android development (30 students, M2 level)
• Advanced Algorithmics (30 students, M1 level)

Past

• Internet-of-Things (40 students, M2 level)
• Ambient computing (40 students, M2 level)
• Multi-Agent Constraint Problem Solving
• Development of web-based information systems (20 students, M1 level)
• Object-oriented programming (120 students, L3 level)
• Project management with eXtreme Programming and Unified Process (20 students, M1 level)
• Language and Concepts for Programming (C language)
• Information Systems (Databases)
• Artificial Intelligence
• Analysis and Design with UML
• Test-Driven Development with JUnit
• GUI Development with Java Swing
• Object-oriented Analysis and Design with UML
• Multi-Agent Systems
• Self-Organisation
• Introduction to computer sciences and programming with C
• Object and parallelism programming with Java
• Functionnal and imperative programming with CAML
• Artificial intelligence with CAML
• UNIX O/S and parallelism
• Imperative programming with Pascal
• Expert systems and neural networks
• Initiation to Linux and Windows NT

Some documents

• Slides for the lecture on Multi-agent Coordination using Distributed Constraint Optimization and Auction-based Techniques at PFIA-25
• Slides for the lecture on Multi-Agent Task Allocation at SPACERAISE doctoral school on Robotics for Space Applications
• Slides for the lecture on Multi-agent systems and coordination techniques for Space Applications at ISAE-Supaéro
• Slides for the lecture on DCOPs for IoT at EASSS 2018
• Slides for the current lecture on Multi-Agent Problem Solving
• Slides for the older lecture on Multi-Agent Problem Solving
• Slides for the course on Android Development
• Slides for the lecture on Self-Organisation in MAS
• Slides for the lecture on Design Patterns
• Subject for the practical works on JUnit 4
• Slides for the lecture on JAR
• Slides for introducing project management
• Slides for the lecture on eXtreme Programming
• Slides for the lecture on Unified Process
• Slides for the short introduction to Minimax algorithm
• Slides for the short introduction to Prolog
• Slides for the lecture on Test-driven Development