AI-Empowered Networking and Mobile Communications(Summer 2024): 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, but are not limited to:  
This lecture will introduce advanced concepts of computer networking to interested students. Topics include:  
*Software-defined Networking (?)
*AI meets Networking
*Segment Routing
*Segment Routing
*Video Analysis in Edge Networks (?)
*Intelligent Transportation Application based on V2I Networking
*Information Centric Network
*Social Network Analysis
*Big Data and Social Network
*Multimodal Sentiment Analysis
*Blockchain Technology and its Underlying P2P Networks
*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 11:45, 9 April 2024

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
  • Blockchain Technology and its Underlying P2P Networks
  • 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.

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

Schedule (Tentative)

Date Topic Lecturer Slides
11.04.2024 (10:00-12:00am) Introduction Dr. Tingting Yuan
18.04.2024 (10:00-12:00am) AI meets Networking I Dr. Tingting Yuan
25.04.2024 NO LECTURE (GIRL'S DAY)
02.05.2024 (10:00-12:00am) AI meets Networking II Dr. Tingting Yuan
09.05.2024 NO LECTURE (PUBLIC HOLIDAY)
16.05.2024 (10:00-12:00am) Segment Routing I Fabian Wölk
23.05.2024 (10:00-12:00am) Segment Routing II Fabian Wölk
30.05.2024 (10:00-12:00am) Intelligent Transportation Application based on V2I Networking Yanlong Huang
06.06.2024 (10:00-12:00am) Social Network Analysis Zhengze Li
13.06.2024 (10:00-12:00am) From Words to Vision: A Journey Through Multimodal Sentiment Analysis Wenfang Wu
20.06.2024 (10:00-12:00am) Blockchain Technology and its Underlying P2P Networks Jin Xie
27.06.2024 (10:00-12:00am) Bio-inspired Networking Parisa
04.07.2024 (10:00-12:00am) Knowledge Graph and Knowledge Graph Completion Tong
11.07.2024 (10:00-12:00am) Deep Learning with Differential Privacy for Image Classification Yanru Song
TBD (12:00-14:00am) Written Examination (Room TBD)

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