Advanced AI Networking

1. Course Description

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.

2. Required Texts 

Lecture Notes

3. Course Evaluation 
- Mid-term Exam : 50%
- Presentation & Project: 40%
- Presence : 10%
The above scheme could be changed during the course.
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4. Schedule
1st Week Introduction to AI Networking
Introduction to AI Networking.pdf
2nd Week Networking and Future Internet (IP & TCP, etc.)
Networking and Future Internet (IP & TCP, etc.).pdf
Networking and Future Internet (IP & TCP, etc.)
3rd Week Mobile Networking(LTE & 5G)
Mobile Networking(LTE & 5G).pdf
Mobile Networking(LTE & 5G)
4th Week Machine Learning based Edge Computing
Machine Learning based Edge Computing.pdf
Machine Learning based Edge Computing
5th Week Federated Learning and Democratized Learning
Federated Learning and Democratized Learning.pdf
Federated Learning and Democratized Learning
6th Week AI based Network Resource Management 1
AI based Network Resource Management 1.pdf
AI based Network Resource Management 1
7th Week AI based Network Resource Management 2
AI based Network Resource Management 2.pdf
8th Week AI based Energy Management
AI based Energy Management.pdf
9th Week Mid-term Exam
10th Week UAV-Assisted Wireless Networks
11th Week AI based D2D Communication Networks
12th Week Vehicular Edge Networking
13th Week Next Generation Security based on Machine Learning
14th Week Meta-Learning based Networking Architecture
15th Week 6G & AI
16th Week Term Project Presentations