050134 VU Concepts and Models for Knowledge Engineering (2015W)
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 Tu 01.09.2015 09:00 to Th 24.09.2015 23:59
- Deregistration possible until Su 18.10.2015 23:59
Details
max. 25 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
- Friday 02.10. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
- Friday 09.10. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
- Friday 16.10. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
- Friday 23.10. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
- Friday 30.10. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
- Friday 06.11. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
- Friday 13.11. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
- Friday 20.11. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
- Friday 27.11. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
- Friday 04.12. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
- Friday 11.12. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
- Friday 18.12. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
- Friday 08.01. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
- Friday 15.01. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
- Friday 22.01. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
- Friday 29.01. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.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.