M1 Computer and Network Systems

Formalize a problem with a view to its computer resolution. Relate a category of problems to the appropriate resolution algorithms and assess their relevance: limits of use and efficiency. Identify a problem that can be parallelized or distributed, choose and implement the appropriate calculation model to solve it. Master the major issues of computer system security and data protection. Know and implement the principles of structured and unstructured database management. Implement secure and safe solutions. Analyze the results of a proposed solution in relation to a field of application and from the point of view studied (performance, scalability, security, energy consumption, etc.). Analyze, interpret and synthesize the results from complex computer systems. Validate the operation of a complex computer system through tests and analysis of the results produced. Ensure the evolution over time of implemented systems.

At the Master 1 level, the objective is, on the one hand, to deepen the general training of students in Computer Science through a certain number of classic teaching units (software engineering, advanced algorithms), and on the other hand, to allow them to acquire knowledge specific to the field of the CNS and the M2 courses. This includes the study of complex system models (Petri nets, multi-agent systems), optimization methods (operational research, high-performance computing), formal methods, artificial intelligence (data analysis, machine learning), systems and network administration techniques, as well as associated issues (cryptography and security, protocols, advanced networks).