Jump to content

AI-Empowered Networking and Mobile Communications(Summer 2026): Difference between revisions

From NET Wiki
Woelk1 (talk | contribs)
 
Line 23: Line 23:
This lecture will introduce advanced concepts of computer networking to interested students. Topics include:  
This lecture will introduce advanced concepts of computer networking to interested students. Topics include:  
*Information Centric Network
*Information Centric Network
*AI meets Networking
*Segment Routing
*Segment Routing
*Intelligent Transportation Application based on V2I Networking
*Intelligent Transportation Application based on V2I Networking
*Multimodal Sentiment Analysis
*Social Network Analysis
*Social Network Analysis
*Multimodal Sentiment Analysis
*Sign language translation
*Bio-inspired Networking
*Large Language Model Chain of Thought Compression for Efficient Reasoning
*Digital Twin Networks for LiDAR Traffic Systems


For each topic, basic structures, features and applied techniques will be taught.
For each topic, basic structures, features and applied techniques will be taught.

Latest revision as of 13:09, 10 April 2026

Details

Workload/ECTS Credits: 5ECTS
Module: M.Inf.1223.Mp: Advanced Topics in Computer Networks

B.Inf.1702.Mp: Vertiefung Computersysteme

M.Inf.1120.Mp: Mobilkommunikation

M.Inf.121.1: Mobilkommunikation I

M.Inf.225.Mp: Ausgewählte Themen der Mobilkommunikation

Note: You can choose any of them to attend this course, but only one! Please note that enrolling in the same course more than once will not grant additional credits.

Lecturer: Prof. Xiaoming Fu and assistants
Teaching assistant: Fabian Wölk
Time: Thursdays, 10-12am.
Place: IFI 2.101
UniVZ []


Course description

This lecture will introduce advanced concepts of computer networking to interested students. Topics include:

  • Information Centric Network
  • Segment Routing
  • Intelligent Transportation Application based on V2I Networking
  • Multimodal Sentiment Analysis
  • Social Network Analysis
  • Sign language translation
  • Large Language Model Chain of Thought Compression for Efficient Reasoning
  • Digital Twin Networks for LiDAR Traffic Systems

For each topic, basic structures, features and applied techniques will be taught.

If you have any questions, please contact Fabian Wölk (fabian.woelk@cs.uni-goettingen.de)

Schedule (Tentative)

Date Topic Lecturer Slides
16.04.2026 (10:00-12:00am) Introduction / Information Centric Network I Prof. Fu
23.04.2026 (10:00-12:00am) Information Centric Network II Prof. Fu
30.04.2026 (10:00-12:00am) Segment Routing I Fabian
07.05.2026 (10:00-12:00am) Segment Routing II Fabian
14.05.2026 NO LECTURE (PUBLIC HOLIDAY)
21.05.2026 (10:00-12:00am) Intelligent Transportation Application based on V2I Networking I Yanlong Huang
28.05.2026 (10:00-12:00am) Intelligent Transportation Application based on V2I Networking II Yanlong Huang
04.06.2026 (10:00-12:00am) From Words to Vision: A Journey Through Multimodal Sentiment Analysis Wenfang Wu
11.06.2026 (10:00-12:00am) Sign language translation Wenfang Wu
18.06.2028 (10:00-12:00am) AI and Social Network Analysis Huilian Sophie Qiu
25.06.2026 (10:00-12:00am) Social Network Analysis Huilian Sophie Qiu
02.07.2026 (10:00-12:00am) Large Language Model Chain of Thought Compression for Efficient Reasoning Hao Xu
09.07.2026 (10:00-12:00am) Digital Twin Networks for LiDAR Traffic Systems Jan Lenke
16.07.2026 (10:00-12:00am)
TBA Written Examination

Prerequisites

  • Computer Science I, II; Computer Networks

References=

  • Yang, S., N. He, F. Li, and X. Fu, Resource Allocation in Network Function Virtualization: Problems, Models and Algorithms, Singapore: Springer, August 2022.
  • James Kurose, Keith Ross, Computer Networking: A Top-Down Approach. 8th Edition, Pearson, June 2021