Advanced Computer Networks (Summer 2022)

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Details

Workload/ECTS Credits: 5ECTS
Module: M.Inf.1223.Mp OR 3.17: Selected Topics in Advanced Networking (ITIS)
Lecturer: Prof. Xiaoming Fu
Teaching assistant: Fabian Wölk
Time: Thursdays, 10-12am.
Place: IFI 2.101
UniVZ [1]


Course description

This lecture will introduce advanced concepts of computer networking to interested students. Topics include, but are not limited to:

  • Software-defined Networking
  • Segment Routing
  • Video Analysis in Edge Network
  • Information Centric Network
  • Big Data and Social Network

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
21.04.2022 (10:00-12:00am) Introduction Prof. X. Fu
28.04.2022 NO LECTURE (Girls Day)
05.05.2022 (10:00-12:00am) Video Analysis in Edge Networks I Weijun Wang
12.05.2021 (10:00-12:00am) Video Analysis in Edge Networks II Weijun Wang
17.05.2022 (10:00-11:00am) Video Analysis in Edge Networks (Exercise) Weijun Wang
19.05.2022 (10:00-12:00am) Information Centric Network I Prof. X. Fu
26.05.2022 NO LECTURE (PUBLIC HOLIDAY)
02.06.2022 (10:00-12:00am) Information Centric Network II Prof. X. Fu
07.06.2022 (10:00-11:00am) Information Centric Network (Exercise) Prof. X. Fu
09.06.2022 (10:00-12:00am) Software-defined Networking I Dr. Tingting Yuan
16.06.2022 (10:00-12:00am) Software-defined Networking II Dr. Tingting Yuan
21.06.2022 (10:00-11:00am) Software-defined Networking (Exercise) Dr. Tingting Yuan
23.06.2022 (10:00-12:00am) Segment Routing Fabian Wölk
30.06.2022 (10:00-12:00am) Segment Routing Fabian Wölk
05.07.2022 (10:00-11:00am) Segment Routing (Exercise) Fabian Wölk
07.07.2022 (10:00-12:00am) Big Data and Social Networks I Zhengze Li
14.07.2022 (10:00-12:00am) Big Data and Social Networks II Zhengze Li
19.07.2022 (10:00-11:00am) Big Data and Social Networks (Exercise) Zhengze Li
02.08.2022 (10:00-12:00am) Written Examination, Room 0.101 (Informatik Provisorium)

Prerequisites

  • Computer Science I, II; Computer Networks