050011 VU Logical Foundations of Knowledge Engineering (2013S)

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 Fr 01.02.2013 09:00 to We 27.02.2013 23:59
Deregistration possible until Su 31.03.2013 23:59

Details

max. 25 participants

Language: German

Lecturers

Classes (iCal) - next class is marked with N

    
    Tuesday
    05.03.
    09:45 - 11:15
    PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
    
    Tuesday
    12.03.
    09:45 - 11:15
    PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
    
    Tuesday
    19.03.
    09:45 - 11:15
    PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
    
    Tuesday
    09.04.
    09:45 - 11:15
    PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
    
    Tuesday
    16.04.
    09:45 - 11:15
    PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
    
    Tuesday
    23.04.
    09:45 - 11:15
    PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
    
    Tuesday
    30.04.
    09:45 - 11:15
    PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
    
    Tuesday
    07.05.
    09:45 - 11:15
    PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
    
    Tuesday
    14.05.
    09:45 - 11:15
    PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
    
    Tuesday
    28.05.
    09:45 - 11:15
    PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
    
    Tuesday
    04.06.
    09:45 - 11:15
    PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
    
    Tuesday
    11.06.
    09:45 - 11:15
    PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
    
    Tuesday
    18.06.
    09:45 - 11:15
    PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
    
    Tuesday
    25.06.
    09:45 - 11:15
    PC-Unterrichtsraum 5, Währinger Straße 29 2.OG

Information

Aims, contents and method of the course

The aim of this course is to demonstrate a variety of techniques for capturing human knowledge and represent it in a computer in a way that enables the machine to reason over the data represented and mimic the human ability to deal with incomplete or uncertain data. In LGKE we will cover the basics of data representation techniques and reasoning concepts based on monotonic and non-monotonic logic.

Assessment and permitted materials

Minimum requirements and assessment criteria

Examination topics

Reading list

Association in the course directory

Last modified: Mo 07.09.2020 15:29