Computer Science for Communication Networks

Want to understand, analyze and improve your communication network ? Want to develop and define software on top of next-generation networks? Many people who want to study the technique and tools analyzing the networks choose CCN. Further, and in order to deal with these objectives, they complementary wish to master the recent approaches based on software engineering.  

Computer Science for Communication Networks

Computer Science for Communication Networks (CCN)

Télécom SudParis

Presentation

This program proposes graduate students 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 communication networks as well as to discover new emerging research topics.

Two main objectives can be tackled when following this program. First, to master formal techniques for network analysis, the students will study novel techniques and tools to model and analyze complex future networks. Secondly, the students could also be interested by all the software engineering techniques (e.g. software defined networks) to compute, improve and master the keys of the development of distributed networks.

Background

Computer Science and good knowledge in C, Java and Unix.

First year

Level: Master 1
Language of instruction: English
Location: Telecom SudParis, Evry
Cost: 6 000 euros
Coordinator: Prof. Eric RENAULT, Telecom SudParis

Semester 1 (Fall – Sept. to Feb.)Semester 2 (Spring – Feb. to June)
EN 8975 - Introduction to Human-Computer Interaction – 5 ECTSCP 3010 / Network block (at least 5 ECTS are mandatory) :
EN 9090 - Advanced Data Networks – 5 ECTS
EN 9091 - Performance Evaluation and Metrics - 2,5 ECTS
EN 9092 - Engineering for quality of service - 2,5 ECTS
EN 9093 - Network Programming - 2,5 ECTS
Wireless Networks - 2,5 ECTS
Introduction to Machine Learning – 5 ECTSCP 3011 / Data block (at least 5 ECTS are mandatory) :
Introduction to Deep Learning - 2,5 ECTS
EN 9094 - Software and Data Engeneering - 2,5 ECTS
EN 9095 - Principles of data management - 2,5 ECTS
EN 9096 - Low-level data managament - 2,5 ECTS
Data Mining - 2,5 ECTS
EN 9086 - Probality and Statistics – 5 ECTSCP 3012 / Interaction block (at least 5 ECTS are mandatory) :
Interactive web programming - 2,5 ECTS
EN 5930 - Interactive information visualization - 2,5 ECTS
EN 8781 - Design of interactive systems - 2,5 ECTS
EN 5933 - Gestural an mobile interactions - 2,5 ECTS
EN 5938 - Groupware and collaborative work - 2,5 ECTS
Introduction to BigData : Data and massively parallel computing – 5 ECTSOthers (at least 5 ECTS are mandatory) :
HUM 7001 - Effective communication - 2,5 ECTS
EN 9097 - Introduction to research - 2,5 ECTS
EN 9098 - Entrepreneurship - 2,5 ECTS
EN 9087 - Networks – 5 ECTS
EN 9088 - Project - 2,5 ECTS
EN 9089 - French as a Foreign Language - 2,5 ECTS

Second year

Level: Master 2
Language of instruction: English
Location: Telecom SudParis, Evry
Cost: 6 000 euros
Coordinator: Prof. Stéphane MAAG, Telecom SudParis

Semester 1 (Fall – Sept. to Feb.)Semester 2 (Spring – Feb. to June)
M2 Computer and Communication Networks – 30 ECTSM2 Computer and Communication Networks – 30 ECTSMaster’s thesis – 30 ECTS (6 months)

Contact

M1 & M2: Prof. Eric Renault, Telecom SudParis
Eric.Renault (at) telecom-sudparis.eu 

Contact