Universität Wien FIND

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052414 VU Concepts and Models of Knowledge Engineering (2020W)

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

Thursday 08.10. 17:45 - 19:15 Digital (Kickoff Class)
Wednesday 25.11. 13:15 - 14:45 Digital
Thursday 26.11. 09:45 - 11:15 Digital
Wednesday 02.12. 13:15 - 14:45 Digital
Thursday 03.12. 09:45 - 11:15 Digital
Wednesday 09.12. 13:15 - 14:45 Digital
Thursday 10.12. 09:45 - 11:15 Digital
Wednesday 16.12. 13:15 - 14:45 Digital
Thursday 17.12. 09:45 - 11:15 Digital
Thursday 07.01. 09:45 - 11:15 Digital
Wednesday 13.01. 13:15 - 14:45 Digital
Thursday 14.01. 09:45 - 11:15 Digital
Wednesday 20.01. 13:15 - 14:45 Digital
Thursday 21.01. 09:45 - 11:15 Digital
Wednesday 27.01. 13:15 - 14:45 Digital
Thursday 28.01. 09:45 - 11:15 Digital

Group 2

max. 25 participants
Language: English
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

Thursday 08.10. 17:45 - 19:15 Digital (Kickoff Class)
Wednesday 25.11. 13:15 - 14:45 Digital
Thursday 26.11. 09:45 - 11:15 Digital
Wednesday 02.12. 13:15 - 14:45 Digital
Thursday 03.12. 09:45 - 11:15 Digital
Wednesday 09.12. 13:15 - 14:45 Digital
Thursday 10.12. 09:45 - 11:15 Digital
Wednesday 16.12. 13:15 - 14:45 Digital
Thursday 17.12. 09:45 - 11:15 Digital
Thursday 07.01. 09:45 - 11:15 Digital
Wednesday 13.01. 13:15 - 14:45 Digital
Thursday 14.01. 09:45 - 11:15 Digital
Wednesday 20.01. 13:15 - 14:45 Digital
Thursday 21.01. 09:45 - 11:15 Digital
Wednesday 27.01. 13:15 - 14:45 Digital
Thursday 28.01. 09:45 - 11:15 Digital

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 prepare presentations on 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.

Assessment and permitted materials

Students have to write two exams and prepare a presentation about a SOTA topic in knowledge engineering as well as material for their colleagues.
The exams will contain theory questions and applied problems, based on the lectures and the student presentations.
The test will be held digitally and open-book. During the test the use of unauthorized material or communication with colleagues is not allowed.

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 and the material of students' presentations.

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: Mo 05.10.2020 10:08