Objectif
The M2 CSN program proposes to be initiated to research and to acquire strong practical and theoretical knowledge in the network and computer science area. The broad range of proposed modules gives students the opportunity to deepen their technical knowledge through computer science methodologies applied to networks as well as to discover new emerging research topics. Two main objectives can be tackled:
- to master formal techniques for network analysis,
- to study and apply advanced software engineering techniques (e.g., software defined networks, containerization, etc.) to compute, improve and master the keys of the development of distributed networks.
débouchés
The Master CSN leads to research (in research institutes or universities) and engineering positions (e.g., industry) in the diverse fields of computer science dedicated to networks and communication systems. More specifically, the domains the students will be able to use their learned skills, knowledge and expertise on are the modeling and analysis of complex networks, distributed computing for new-generation communicating systems, their qualitative and quantitative studies.
Several research labs and companies hire students from CSN such as Nokia (Bell Labs), Orange (R&D), CEA, Thales, Huawei, etc. Students also have opportunities to continue with a PhD thesis in a CNRS Lab from Institut Polytechnique de Paris as well as in the industry (e.g., CIFRE).
Parcours
- CSN-M1 Computer Science for Networks - Master 1
- NET7428 Introduction to Research
- CSC7435 C Programming and Unix
- CSC7428 Low-level data management
- MAT7421 Probas & Stats
- NET7421 Networks
- FRE7421 French Language and Culture
- NET7525 Projet
- NET7430 Introduction to Information Theory
- NET7006 CSN Optimization
- CSC7440 Internet of Things and Data Analytics
- CSC7426 Software and Data Engineering
- NET7422 Advanced data networks
- NET7426 Network programming
- HUM7421 Effective Communication
- NET7424 Engineering for quality of service
- NET7423 Performance Evaluation and Metrics
- HUM7422 Entrepreneurship
- CSC7422 Introduction to Machine Learning
- CSC7427 Principles of data management
- CSC7223 Distributed Computing Services
- TPT-DATAAI902 Machine Learning: Shallow & Deep Learning
- CSN-M2 Computer Science for Networks - Master 2
- NET4513 Simulation and Metrology
- CSC7321 Middelware for distrbuted Applications
- CSC7342 Virtualization: Concept and implementation
- NET7429 Introduction to Research
- NET7321 Network Security and Privacy
- NET7332 Formal System Testing
- FRE7003 French
- CSC7334 Software Model Based Testing
- CSC7341 Algorithm Analysis and ComputationalComplexity
- NET7344 Software Defined Networks
- NET7431 Netwok Analysis and Modeling
- CSC7201 Machine Learning for Computer Network
- NETXXXX Centralized/Cloud-Based Radio Access Networks
- NET7347 Wireless Network and Iot
