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_final.pdf |
2nd Week | Basics of Networking (IP & TCP, etc.) Networking and Future Internet_final.pdf |
3rd Week | Mobile Networking (LTE & 5G) |
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 Managemen_lecture_1.pdf AI based Network Resource Managemen_lecture_2.pdf |
7th Week | AI based D2D Communication Networks AI Based D2D Communication Networks.pdf |
8th Week | Mid-term Exam |
9th Week | UAV-Assisted Wireless Networks UAV-Assisted Wireless Networks Using Machine Learning.pdf |
10th Week | AI based Energy Management AI Based Energy Management.pdf |
11th Week | Vehicular Edge Networking Vehicular Edge Networking Using Machine Learning.pdf Blcokchain Mechanism and Platforms for Future Internet |
12th Week | Meta-Learning based Networking Architecture |
13th Week | 6G & AI AI-Enabled-6G.pdf |
14th Week | Term Project Presentations |