050134 VU Concepts and Models for Knowledge Engineering (2013W)
Continuous assessment of course work
Labels
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 Su 01.09.2013 09:00 to Su 29.09.2013 23:59
- Deregistration possible until Th 31.10.2013 23:59
Details
max. 25 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
- Tuesday 01.10. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
- Tuesday 08.10. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
- Tuesday 15.10. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
- Tuesday 22.10. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
- Tuesday 29.10. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
- Tuesday 05.11. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
- Tuesday 12.11. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
- Tuesday 19.11. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
- Tuesday 26.11. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
- Tuesday 03.12. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
- Tuesday 10.12. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
- Tuesday 17.12. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
- Tuesday 07.01. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
- Tuesday 14.01. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
- Tuesday 21.01. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
- Tuesday 28.01. 15:00 - 16:30 Hörsaal 2, Währinger Straße 29 2.OG
Information
Aims, contents and method of the course
Assessment and permitted materials
Practical Work during the Semester; Presentation of Practical Work Solutions; Test at the End of Semester.
Minimum requirements and assessment criteria
Examination topics
Reading list
Association in the course directory
Last modified: Mo 07.09.2020 15:30
Basic knowledge in knowledge-based systems and symbolic AI is advised. Students lacking the necessary prerequisites are encouraged to attend the course Logical Foundations of Knowledge Engineering before attending this course.