Advanced AI Networking |
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1. Course Description |
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In this course, students can learn on the key technology of Internet Protocols such as TCP/IP. In addition, it introduces the machine learning algorithm based networking architecture. Also, network-related applications using machine learning will be learned. Through term project, the students can obtain the designing and implementing capabilities of AI based Internet applications, IoT systems and mobile networking. |
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2. Required Texts |
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Lecture Notes |
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3. Course Evaluation |
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- Mid-term Exam : 50%
- Presentation & Project : 40% - Presence : 10% The above scheme could be changed during the course. |
4. Schedule | |
1st Week |
Introduction to AI Networking
Introduction to AI Networking.pdf |
2nd Week |
Basics of Networking (IP & TCP, etc.)
Networking and Future Internet.pdf |
3rd Week |
Mobile Networking (LTE & 5G)
Mobile Networking (LTE & 5G).pdf |
4th Week |
Machine Learning based Edge Computing
Machine Learning based Edge Computing.pdf |
5th Week |
Federated Learning and Democratized Learning
Federated Learning and Democratized Learning.pdf |
6th Week | AI based Network Resource Management AI Based Network Resource Management(part.1).pdf |
7th Week |
AI Based Network Resource Management(part.2).pdf
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8th Week |
Climate Change and it Response Using AI
AI and Climate Change.pdf |
9th Week |
UAV-Assisted Wireless Networks
9. UAV-Assisted Wireless Networks Using Machine Learning.pdf |
10th Week |
Mid-term Exam
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11th Week |
UAV-Assisted Wireless Networks
10. AI Based D2D Communication.pdf |
12th Week |
AI based Energy Management
11. AI Based Energy Management.pdf |
13th Week |
Vehicular Edge Networking and Meta-Learning based Networking Architecture
12. AI Vehicular Edge Networking and Meta-Learning.pptx |
14th Week |
6G & AI
13. AI-Enabled-6G.pdf |
15th Week |
Term Project Presentations
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