050134 VU Concepts and Models for Knowledge Engineering (2015W)

3.00 ECTS (2.00 SWS), SPL 5 - Informatik und Wirtschaftsinformatik

Continuous assessment of course work

Moodle

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

Artificial Neural Networks; Evolutionary Computing; Semantic Technologies.
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.

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