Universität Wien

052413 VU Logical Foundations of Knowledge Engineering (2024W)

3.00 ECTS (2.00 SWS), SPL 5 - Informatik und Wirtschaftsinformatik
Continuous assessment of course work

Summary

1 Karagiannis , Moodle
2 Karagiannis , 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 information is available for each group.

Groups

Group 1

max. 25 participants
Language: English
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

  • Wednesday 02.10. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG (Kickoff Class)
  • Thursday 03.10. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Wednesday 09.10. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
  • Thursday 10.10. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Wednesday 16.10. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
  • Thursday 17.10. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Wednesday 23.10. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
  • Thursday 24.10. 09:45 - 11:15 Hörsaal 31 Hauptgebäude, 1.Stock, Stiege 9
  • Wednesday 30.10. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
  • Thursday 31.10. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Wednesday 06.11. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
  • Thursday 07.11. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Wednesday 13.11. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
  • Thursday 14.11. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Wednesday 20.11. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
  • Thursday 21.11. 09:45 - 11:15 Hörsaal 42 Hauptgebäude, 2.Stock, Stiege 7

Group 2

max. 25 participants
Language: English
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

  • Wednesday 02.10. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG (Kickoff Class)
  • Thursday 03.10. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Wednesday 09.10. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
  • Thursday 10.10. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Wednesday 16.10. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
  • Thursday 17.10. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Wednesday 23.10. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
  • Thursday 24.10. 09:45 - 11:15 Hörsaal 31 Hauptgebäude, 1.Stock, Stiege 9
  • Wednesday 30.10. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
  • Thursday 31.10. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Wednesday 06.11. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
  • Thursday 07.11. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Wednesday 13.11. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
  • Thursday 14.11. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Wednesday 20.11. 13:15 - 14:45 Hörsaal 3, Währinger Straße 29 3.OG
  • Thursday 21.11. 09:45 - 11:15 Hörsaal 42 Hauptgebäude, 2.Stock, Stiege 7

Information

Aims, contents and method of the course

In this lecture, the goal is to gain expertise in the basics of Knowledge Engineering. Therefore, students explore the relevant theory and reinforce their knowledge in exercises where approaches for knowledge representation and processing are employed. Topics like propositional logic, first-order logic, rule-based systems, and fuzzy logic are covered in this lecture.

Changes to lectures and exams (on-site or online) may be necessary at short notice.

Assessment and permitted materials

The aim of the course is to learn, understand, and apply the logical foundations of Knowledge Engineering.

Twice during the semester, a written test has to be passed. The tests will contain theory questions and applied problems. The material to be examined is covered in the lecture, including dedicated exercise sessions. During the tests, unauthorized materials or communication with colleagues is not allowed. If unauthorized aids are used or the examination is not written independently, the examination will not be assessed and documented with an X in the collective report. Within the assessment period of four weeks, the examiner may request random oral inquiries about the subject matter of the examination. The language of the examination is English, and the exam time is 60 minutes for the first written test and 80 minutes for the second one.

During the semester, a group assignment regarding individual topics has to be submitted.

Minimum requirements and assessment criteria

In detail, the grade is constituted by:
* Written tests - 30 % (first test) + 40 % (second test)
* Group exercise (scientific research paper) - 30%
Overall at least 50% of points need to be achieved.

The grade is calculated from the total points as follows:
>= 87% very good (1)
>= 75% good (2)
>= 62% satisfactory (3)
>= 50% sufficient (4)
< 50% not sufficient (5)

Missing class more than three times results in a negative grade.

Examination topics

Information, Knowledge & Knowledge Engineering
Knowledge Representation (incl. RDF)
Propositional & First-Order Logic: Introduction
Propositional Logic: Reasoning and Proof
First-Order Logic: Reasoning and Proof
Rule Based Systems
Fuzzy Logic
Machine Learning & Neural Networks

Reading list

Moodle course

Dimitris Karagiannis, Rainer Telesko (2001), Wissensmanagement: Konzepte der künstlichen Intelligenz und des Softcomputing
Stuart J. Russell, Peter Norvig (2009), Artificial Intelligence - A Modern Approach

Association in the course directory

Module: KE WI2

Last modified: Th 17.10.2024 14:25