050011 VU Logical Foundations of Knowledge Engineering (2014S)

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 Sa 01.02.2014 09:00 to Su 23.02.2014 23:59
Deregistration possible until Mo 31.03.2014 23:59

Details

max. 25 participants

Language: German

Lecturers

Classes (iCal) - next class is marked with N

    
    Tuesday
    04.03.
    09:45 - 11:15
    PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
    
    Tuesday
    11.03.
    09:45 - 11:15
    PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
    
    Tuesday
    18.03.
    09:45 - 11:15
    PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
    
    Tuesday
    25.03.
    09:45 - 11:15
    PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
    
    Tuesday
    01.04.
    09:45 - 11:15
    PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
    
    Tuesday
    08.04.
    09:45 - 11:15
    PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
    
    Tuesday
    29.04.
    09:45 - 11:15
    PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
    
    Tuesday
    06.05.
    09:45 - 11:15
    PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
    
    Tuesday
    13.05.
    09:45 - 11:15
    PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
    
    Tuesday
    20.05.
    09:45 - 11:15
    PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
    
    Tuesday
    27.05.
    09:45 - 11:15
    PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
    
    Tuesday
    03.06.
    09:45 - 11:15
    PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
    
    Tuesday
    17.06.
    09:45 - 11:15
    PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
    
    Tuesday
    24.06.
    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