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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) |
| 4th Week | Machine Learning based Edge Computing |
| 5th Week | Federated Learning and Democratized Learning |
| 6th Week | AI based Network Resource Management |
| 7th Week | Climate Change and it Response Using AI |
| 8th Week | UAV-Assisted Wireless Networks |
| 9th Week | Mid-term Exam |
| 10th Week | AI based D2D Communication Networks |
| 11th Week | AI based Energy Management |
| 12th Week | Vehicular Edge Networking |
| 13th Week | Meta-Learning based Networking Architecture |
| 14th Week | 6G & AI |
| 15th Week | Term Project Presentations |