Universität Wien

052414 VU Concepts and Models of Knowledge Engineering (2024W)

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

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

  • Wednesday 02.10. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG (Kickoff Class)
  • Wednesday 27.11. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
  • Thursday 28.11. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Wednesday 04.12. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
  • Thursday 05.12. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Wednesday 11.12. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
  • Thursday 12.12. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Wednesday 08.01. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
  • Thursday 09.01. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Wednesday 15.01. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
  • Thursday 16.01. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Wednesday 22.01. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
  • Thursday 23.01. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Wednesday 29.01. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
  • Thursday 30.01. 09:45 - 11:15 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 02.10. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG (Kickoff Class)
  • Wednesday 27.11. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
  • Thursday 28.11. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Wednesday 04.12. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
  • Thursday 05.12. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Wednesday 11.12. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
  • Thursday 12.12. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Wednesday 08.01. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
  • Thursday 09.01. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Wednesday 15.01. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
  • Thursday 16.01. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Wednesday 22.01. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
  • Thursday 23.01. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Wednesday 29.01. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
  • Thursday 30.01. 09:45 - 11:15 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 and how to use helpful tools in doing so.
Therefore, students explore the relevant theory and advanced knowledge engineering topics using scientific and exploratory methods.
There is a joint Kickoff with VU Logical Foundations of Knowledge Engineering, for which your presence is mandatory to stay registered for this course.

Assessment and permitted materials

Students must submit a seminar paper and a corresponding implementation on current topics of Concepts and Models of Knowledge Engineering. This entails a seminar paper on theoretical and technical foundations (35%), an implementation in a given context (55%), and a presentation of the final results (10%).

Minimum requirements and assessment criteria

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

Examination topics

The topics are chosen by the students from the field of advanced knowledge engineering.

Reading list

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: Mo 30.09.2024 12:05