Code
IGFF NET 4252
Level
M1
Graduate
Graduate
Semester
Fall
Domain
Réseaux
Program
Programme Ingénieur
Language
Anglais/English
ECTS Credits
2,5
Class hours
25
Workload
40
Program Manager(s)
Department
- Réseaux et Services Multimédia Mobiles
Organisation
Cours/TD/TP/projet/examen : 15H/9H/0H/15H/1HLearning objectives
Mobile Radio Transmission Specific Features
AI basic introduction
IoT and IA
5G/6G key technologies
5G/6G and IA
Networks & Services for IA
IA for Networks & Services
CDIO Skills
- 1.1 - Knowledge of basic science including mathematics and others
- 1.2 - Core engineering fundamental knowledge and other disciplines
- 1.3 - Advanced engineering fundamental knowledge, methods and tools
- 2.1 - Analytical reasoning and problem solving
- 2.2 - Experimentation, investigation and knowledge discovery
- 2.2.1 - Hypothesis Formulation
- 2.2.2 - Survey of Print and Electronic Literature
- 2.2.3 - Experimental Inquiry
- 3.2.3 - Written Communication
- 3.2.6 - Oral Presentations
- 4.1.3 - Society's Regulation of Engineering
- 4.1.4 - The Historical and Cultural Context
- 4.1.5 - Contemporary Issues and Values
Keywords
Radio Mobile Transmisssion & Networks Specific Features, AI for Networks, Networks for AI, IoT and AI, 5G & 6G key technologies, 5G/6G and AI
Content
Mobile Radio Transmission Specific Features
IoT and IA
Networks & Services for AI
AI & Generative AI for Networks & Services
5G key technologies
5G and AI & Generative AI
6G key technologies
6G and AI & Generative AI
AI-enable Semantic Information & Communication
Evaluation
grade over 20
Assessment formula
The evaluation will be based on in-class tests (50%) and a research project (50%).
Pedagogical methods
This course is divided into two parts: NET 4252 (P1-1) and NET 4254 (P1-2).
This course is oriented as an initiation to research. It includes one pratical project of AI for networks.