Universität Wien
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052414 VU Concepts and Models of Knowledge Engineering (2022W)

3.00 ECTS (2.00 SWS), SPL 5 - Informatik und Wirtschaftsinformatik
Continuous assessment of course work
MIXED

Summary

1 Karagiannis , Moodle
2 Karagiannis , Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
Registration information is available for each group.

Groups

Group 1

max. 25 participants
Language: English
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

Kickoff meeting (online) together with "Logical Foundations of Knowledge Engineering": 05.10.22 13:15
Link: https://moodle.univie.ac.at/mod/bigbluebuttonbn/guestlink.php?gid=njkgTUpyCe5Y

  • Wednesday 05.10. 13:15 - 14:45 Digital (Kickoff Class)
  • Wednesday 23.11. 13:15 - 14:45 Digital
  • Thursday 24.11. 09:45 - 11:15 Digital
  • Wednesday 30.11. 13:15 - 14:45 Digital
  • Thursday 01.12. 09:45 - 11:15 Digital
  • Wednesday 07.12. 13:15 - 14:45 Digital
  • Wednesday 14.12. 13:15 - 14:45 Digital
  • Thursday 15.12. 09:45 - 11:15 Digital
    Hörsaal 3, Währinger Straße 29 3.OG
  • Wednesday 11.01. 13:15 - 14:45 Digital
  • Thursday 12.01. 09:45 - 11:15 Digital
  • Wednesday 18.01. 13:15 - 14:45 Digital
  • Thursday 19.01. 09:45 - 11:15 Digital
  • Wednesday 25.01. 13:15 - 14:45 Digital
  • Thursday 26.01. 08:00 - 09:30 Hörsaal 3, Währinger Straße 29 3.OG
  • Thursday 26.01. 09:45 - 11:15 Digital
    Hörsaal 3, Währinger Straße 29 3.OG

Group 2

max. 25 participants
Language: English
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

  • Wednesday 05.10. 13:15 - 14:45 Digital (Kickoff Class)
  • Wednesday 23.11. 13:15 - 14:45 Digital
  • Thursday 24.11. 09:45 - 11:15 Digital
  • Wednesday 30.11. 13:15 - 14:45 Digital
  • Thursday 01.12. 09:45 - 11:15 Digital
  • Wednesday 07.12. 13:15 - 14:45 Digital
  • Wednesday 14.12. 13:15 - 14:45 Digital
  • Thursday 15.12. 09:45 - 11:15 Digital
    Hörsaal 3, Währinger Straße 29 3.OG
  • Wednesday 11.01. 13:15 - 14:45 Digital
  • Thursday 12.01. 09:45 - 11:15 Digital
  • Wednesday 18.01. 13:15 - 14:45 Digital
  • Thursday 19.01. 09:45 - 11:15 Digital
  • Wednesday 25.01. 13:15 - 14:45 Digital
  • Thursday 26.01. 08:00 - 09:30 Hörsaal 3, Währinger Straße 29 3.OG
  • Thursday 26.01. 09:45 - 11:15 Digital
    Hörsaal 3, Währinger Straße 29 3.OG

Information

Aims, contents and method of the course

In this lecture, the goal is to gain expertise on the state of the art in knowledge engineering.
Therefore, students explore the relevant theory and explore advanced topics of knowledge engineering.
The lecture covers agent systems and approaches for knowledge representation, problem-solving, reasoning and planning,
handling uncertainty and learning.
The lecture will be held online.
Due to the COVID-19 pandemic, changes to lectures and exams (on-site or online) may be necessary at short notice.
There is a joint online Kickoff with VU Logical Foundations of Knowledge Engineering.

Assessment and permitted materials

Students must pass two exams and do additional work in the form of exercises, papers, or presentations.
The exams will contain theory questions and applied problems, based on the lectures and the student presentations.

Minimum requirements and assessment criteria

For a positive evaluation of the course, more or equal to 50% of requirements have to be fulfilled.
The grading scale is defined as follows:
>= 50% - 4
>= 62,5% - 3
>= 75% - 2
>= 87,5% - 1

Examination topics

The exam topics comprise the content presented in the lectures.

Reading list

Script with lecture content
Moodle course
Dimitris Karagiannis, Rainer Telesko: Wissensmanagement: Konzepte der künstlichen Intelligenz und des Softcomputing
Stuart J. Russell, Peter Norvig: Artificial Intelligence - A Modern Approach

Association in the course directory

Module: WI2 KE

Last modified: Th 11.05.2023 11:27