052413 VU Logical Foundations of Knowledge Engineering (2020W)
Prüfungsimmanente Lehrveranstaltung
Labels
Zusammenfassung
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 14.09.2020 09:00 bis Mo 21.09.2020 09:00
- Abmeldung bis Mi 14.10.2020 23:59
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.
* 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
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 contentMoodle courseDimitris Karagiannis, Rainer Telesko (2001), Wissensmanagement: Konzepte der künstlichen Intelligenz und des SoftcomputingStuart J. Russell, Peter Norvig (2009), Artificial Intelligence - A Modern Approach
Zuordnung im Vorlesungsverzeichnis
Module: KE WI2
Letzte Änderung: Fr 12.05.2023 00:13