052414 VU Concepts and Models of Knowledge Engineering (2023W)
Continuous assessment of course work
Labels
Summary
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 is open from We 13.09.2023 09:00 to We 20.09.2023 09:00
- Deregistration possible until Sa 14.10.2023 23:59
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
This course is part of the module Knowledge Management, which is split into two parts: (i) Logical Foundations of Knowledge Engineering including all sessions until 23.11.23, and (ii) Concepts and Models of Knowledge Engineering starting from 29.11.23. Both courses share the first session (04.10.23), for which you must be present to stay registered.
Wednesday
04.10.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
05.10.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Wednesday
11.10.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
12.10.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Wednesday
18.10.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
19.10.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Wednesday
25.10.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Wednesday
08.11.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
09.11.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Wednesday
15.11.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
16.11.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Wednesday
22.11.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
23.11.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Wednesday
29.11.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
30.11.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Wednesday
06.12.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
07.12.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Wednesday
13.12.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
14.12.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Wednesday
10.01.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
11.01.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Wednesday
17.01.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
18.01.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Wednesday
24.01.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
25.01.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Wednesday
31.01.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Aims, contents and method of the course
Group 2
max. 25 participants
Language: English
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
Wednesday
04.10.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
05.10.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Wednesday
11.10.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
12.10.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Wednesday
18.10.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
19.10.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Wednesday
25.10.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Wednesday
08.11.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
09.11.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Wednesday
15.11.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
16.11.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Wednesday
22.11.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
23.11.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Wednesday
29.11.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
30.11.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Wednesday
06.12.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
07.12.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Wednesday
13.12.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
14.12.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Wednesday
10.01.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
11.01.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Wednesday
17.01.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
18.01.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Wednesday
24.01.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
25.01.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Wednesday
31.01.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
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.
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.
Information
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 (45%), and a presentation of the final results (20%).
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
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
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 16.10.2023 17:47
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.