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052414 VU Concepts and Models of Knowledge Engineering (2021W)
Continuous assessment of course work
Labels
REMOTE
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 Mo 13.09.2021 09:00 to Mo 20.09.2021 09:00
- Deregistration possible until Th 14.10.2021 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
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
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.
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
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
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
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.