AI-Empowered Networking and Mobile Communications(Summer 2025): Difference between revisions

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==Course description==
==Course description==
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:  
*
*AI meets Networking
*AI meets Networking
*Segment Routing
*Segment Routing
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*Social Network Analysis
*Social Network Analysis
*Multimodal Sentiment Analysis
*Multimodal Sentiment Analysis
*Blockchain Technology and its Underlying P2P Networks
*Bio-inspired Networking
*Bio-inspired Networking
*Knowledge Graph and Knowledge Graph Completion
*Deep Learning with Differential Privacy for Image Classification


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

Revision as of 14:43, 11 March 2025

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: Dr. Tingting Yuan, Prof. Xiaoming Fu
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:

  • AI meets Networking
  • Segment Routing
  • Intelligent Transportation Application based on V2I Networking
  • Social Network Analysis
  • Multimodal Sentiment Analysis
  • Bio-inspired Networking

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
17.04.2025 (10:00-12:00am) Introduction TBA
24.04.2025 (10:00-12:00am) Information Centric Network I Prof. X. Fu
01.05.2025 NO LECTURE (PUBLIC HOLIDAY)
08.05.2025 (10:00-12:00am) Information Centric Network II Prof. X. Fu
15.05.2025 (10:00-12:00am) AI meets Networking I Dr. Tingting Yuan
22.05.2025 (10:00-12:00am) AI meets Networking II Dr. Tingting Yuan
29.05.2025 NO LECTURE (PUBLIC HOLIDAY)
05.06.2025 (10:00-12:00am) Segment Routing I Fabian Wölk
12.06.2025 (10:00-12:00am) Segment Routing II Fabian Wölk
19.06.2025 (10:00-12:00am) Big Data and Social Networks I Zhengze Li
26.06.2025 (10:00-12:00am) Big Data and Social Networks II Zhengze Li
03.07.2025 (10:00-12:00am) Intelligent Transportation Application based on V2I Networking Yanlong Huang
10.07.2025 (10:00-12:00am) From Words to Vision: A Journey Through Multimodal Sentiment Analysis Wenfang Wu
17.07.2025 (10:00-12:00am) Bio-inspired Networking Parisa Memarmoshrefi
TBA (??:00-??:00am) Written Examination (Room TBA)

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