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052414 VU Concepts and Models of Knowledge Engineering (2021W)

Continuous assessment of course work
REMOTE

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 17.11. 13:15 - 14:45 Digital
Thursday 18.11. 09:45 - 11:15 Digital
Wednesday 24.11. 13:15 - 14:45 Digital
Thursday 25.11. 09:45 - 11:15 Digital
Wednesday 01.12. 13:15 - 14:45 Digital
Thursday 02.12. 09:45 - 11:15 Digital
Thursday 09.12. 09:45 - 11:15 Digital
Wednesday 15.12. 13:15 - 14:45 Digital
Thursday 16.12. 09:45 - 11:15 Digital
Wednesday 12.01. 13:15 - 14:45 Digital
Thursday 13.01. 09:45 - 11:15 Digital
Wednesday 19.01. 13:15 - 14:45 Digital
Thursday 20.01. 09:45 - 11:15 Digital
Wednesday 26.01. 13:15 - 14:45 Digital
Thursday 27.01. 09:45 - 11:15 Digital

Group 2

max. 25 participants
Language: English
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

Wednesday 17.11. 13:15 - 14:45 Digital
Thursday 18.11. 09:45 - 11:15 Digital
Wednesday 24.11. 13:15 - 14:45 Digital
Thursday 25.11. 09:45 - 11:15 Digital
Wednesday 01.12. 13:15 - 14:45 Digital
Thursday 02.12. 09:45 - 11:15 Digital
Thursday 09.12. 09:45 - 11:15 Digital
Wednesday 15.12. 13:15 - 14:45 Digital
Thursday 16.12. 09:45 - 11:15 Digital
Wednesday 12.01. 13:15 - 14:45 Digital
Thursday 13.01. 09:45 - 11:15 Digital
Wednesday 19.01. 13:15 - 14:45 Digital
Thursday 20.01. 09:45 - 11:15 Digital
Wednesday 26.01. 13:15 - 14:45 Digital
Thursday 27.01. 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.
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 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: Fr 01.10.2021 11:29