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Event

Exercises to Applied Informatics - Applications of Artificial Intelligence [WS202511315]

Type
exercise (Ü)
Online
Term
WS 20/21
SWS
1
Language
Deutsch
Appointments
42
Links
ILIAS

Lecturers

Organisation

  • Karlsruhe Service Research Institute

Part of

Appointments

  • 03.11.2020 14:00 - 15:30
  • 05.11.2020 10:00 - 11:30
  • 05.11.2020 16:00 - 17:30
  • 10.11.2020 14:00 - 15:30
  • 12.11.2020 10:00 - 11:30
  • 12.11.2020 16:00 - 17:30
  • 17.11.2020 14:00 - 15:30
  • 19.11.2020 10:00 - 11:30
  • 19.11.2020 16:00 - 17:30
  • 24.11.2020 14:00 - 15:30
  • 26.11.2020 10:00 - 11:30
  • 26.11.2020 16:00 - 17:30
  • 01.12.2020 14:00 - 15:30
  • 03.12.2020 10:00 - 11:30
  • 03.12.2020 16:00 - 17:30
  • 08.12.2020 14:00 - 15:30
  • 10.12.2020 10:00 - 11:30
  • 10.12.2020 16:00 - 17:30
  • 15.12.2020 14:00 - 15:30
  • 17.12.2020 10:00 - 11:30
  • 17.12.2020 16:00 - 17:30
  • 22.12.2020 14:00 - 15:30
  • 07.01.2021 10:00 - 11:30
  • 07.01.2021 16:00 - 17:30
  • 12.01.2021 14:00 - 15:30
  • 14.01.2021 10:00 - 11:30
  • 14.01.2021 16:00 - 17:30
  • 19.01.2021 14:00 - 15:30
  • 21.01.2021 10:00 - 11:30
  • 21.01.2021 16:00 - 17:30
  • 26.01.2021 14:00 - 15:30
  • 28.01.2021 10:00 - 11:30
  • 28.01.2021 16:00 - 17:30
  • 02.02.2021 14:00 - 15:30
  • 04.02.2021 10:00 - 11:30
  • 04.02.2021 16:00 - 17:30
  • 09.02.2021 14:00 - 15:30
  • 11.02.2021 10:00 - 11:30
  • 11.02.2021 16:00 - 17:30
  • 16.02.2021 14:00 - 15:30
  • 18.02.2021 10:00 - 11:30
  • 18.02.2021 16:00 - 17:30

Note

The exercises are oriented on the lecture applications of AI.

Multiple exercises are held that capture the topics, held in the lecture Applications of AI and discuss them in detail. Thereby, practical examples are given to the students in order to transfer theoretical aspects into practical implementation.

This lecture aims to provide students with a basic knowledge and understanding of the structure, analysis and application of selected methods and technologies on artificial intelligence. The topics include, among others, knowledge modeling, machine learning, text mining, uninformed search, and intelligent agents.

Learning objectives:

The students

  • consider current research topics in the field of artificial intelligence and in particular learn about the topics of knowledge modeling, machine learning, text mining and uninformed search.
  • interdisciplinary thinking.
  • technological approaches to current problems.