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.
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)
Mobile Networking.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 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
Meta-Learning based Networking Architecture.pdf

13th Week 6G & AI

14th Week Term Project Presentations