Universität Wien

052413 VU Logical Foundations of Knowledge Engineering (2020W)

Prüfungsimmanente Lehrveranstaltung

Zusammenfassung

1 Karagiannis , Moodle
2 Karagiannis , Moodle

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
An/Abmeldeinformationen sind bei der jeweiligen Gruppe verfügbar.

Gruppen

Gruppe 1

max. 25 Teilnehmer*innen
Sprache: Englisch
Lernplattform: Moodle

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

  • Donnerstag 08.10. 17:45 - 19:15 Digital (Vorbesprechung)
  • Donnerstag 08.10. 19:30 - 21:00 Digital
  • Donnerstag 15.10. 17:45 - 19:15 Digital
  • Donnerstag 15.10. 19:30 - 21:00 Digital
  • Donnerstag 22.10. 17:45 - 19:15 Digital
  • Donnerstag 22.10. 19:30 - 21:00 Digital
  • Donnerstag 29.10. 17:45 - 19:15 Digital
  • Donnerstag 29.10. 19:30 - 21:00 Digital
  • Donnerstag 05.11. 17:45 - 19:15 Digital
  • Donnerstag 05.11. 19:30 - 21:00 Digital
  • Donnerstag 12.11. 17:45 - 19:15 Digital
  • Donnerstag 12.11. 19:30 - 21:00 Digital

Gruppe 2

max. 25 Teilnehmer*innen
Sprache: Englisch
Lernplattform: Moodle

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

  • Donnerstag 08.10. 17:45 - 19:15 Digital (Vorbesprechung)
  • Donnerstag 08.10. 19:30 - 21:00 Digital
  • Donnerstag 15.10. 17:45 - 19:15 Digital
  • Donnerstag 15.10. 19:30 - 21:00 Digital
  • Donnerstag 22.10. 17:45 - 19:15 Digital
  • Donnerstag 22.10. 19:30 - 21:00 Digital
  • Donnerstag 29.10. 17:45 - 19:15 Digital
  • Donnerstag 29.10. 19:30 - 21:00 Digital
  • Donnerstag 05.11. 17:45 - 19:15 Digital
  • Donnerstag 05.11. 19:30 - 21:00 Digital
  • Donnerstag 12.11. 17:45 - 19:15 Digital
  • Donnerstag 12.11. 19:30 - 21:00 Digital

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

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

The lecture will be held online.

Due to the COVID-19 pandemic, changes to lectures and exams (on site or online) may be necessary at short notice.

There is a joint online Kickoff with VU Concepts and Models of Knowledge Engineering.

Art der Leistungskontrolle und erlaubte Hilfsmittel

The aim of the course is to learn and understand the logical foundations for knowledge engineering and how they can be applied.

Twice during the semester a written test has to be passed. The test will contain theory questions and applied problems. The test will be held digitally and open-book. During the test the use of unauthorized material or communication with colleagues is not allowed.

During the semester, homework assignments have to be submitted. Solutions have to be independent for each student.

Mindestanforderungen und Beurteilungsmaßstab

In detail, the grade is constituted by:
* Written tests - 40 % + 40 %
* Homework assignments (Exercises) - 20%
Missing class more than three times results in a negative grade.

Prüfungsstoff

Information, Knowledge & Knowledge Engineering
Knowledge Representation
Propositional & First-Order Logic: Introduction
Propositional Logic: Reasoning and Proof
First-Order Logic: Reasoning and Proof
Rule Based Systems
Fuzzy Logic

Literatur

Script with lecture content

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

Zuordnung im Vorlesungsverzeichnis

Module: KE WI2

Letzte Änderung: Fr 12.05.2023 00:13