Warning! The directory is not yet complete and will be amended until the beginning of the term.
050134 VU Concepts and Models for Knowledge Engineering (2014W)
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 Mo 01.09.2014 09:00 to Su 28.09.2014 23:59
- Deregistration possible until Fr 31.10.2014 23:59
Details
max. 25 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
- Tuesday 07.10. 18:30 - 20:00 Seminarraum 7, Währinger Straße 29 1.OG
- Tuesday 14.10. 18:30 - 20:00 Seminarraum 7, Währinger Straße 29 1.OG
- Tuesday 21.10. 18:30 - 20:00 Seminarraum 7, Währinger Straße 29 1.OG
- Tuesday 28.10. 18:30 - 20:00 Seminarraum 7, Währinger Straße 29 1.OG
- Tuesday 04.11. 18:30 - 20:00 Seminarraum 7, Währinger Straße 29 1.OG
- Tuesday 11.11. 18:30 - 20:00 Seminarraum 7, Währinger Straße 29 1.OG
- Tuesday 18.11. 18:30 - 20:00 Seminarraum 7, Währinger Straße 29 1.OG
- Tuesday 25.11. 18:30 - 20:00 Seminarraum 7, Währinger Straße 29 1.OG
- Tuesday 02.12. 18:30 - 20:00 Seminarraum 7, Währinger Straße 29 1.OG
- Tuesday 09.12. 18:30 - 20:00 Seminarraum 7, Währinger Straße 29 1.OG
- Tuesday 16.12. 18:30 - 20:00 Seminarraum 7, Währinger Straße 29 1.OG
- Tuesday 13.01. 18:30 - 20:00 Seminarraum 7, Währinger Straße 29 1.OG
- Tuesday 20.01. 18:30 - 20:00 Seminarraum 7, Währinger Straße 29 1.OG
- Tuesday 27.01. 18:30 - 20:00 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.