621.050 (08W) Knowledge Engineering
Überblick
- Lehrende/r
- LV-Titel englisch nichts eingestellt
- LV-Art Vorlesung
- Semesterstunde/n 2.0
- ECTS-Anrechnungspunkte 2.0
- Anmeldungen 63
- Organisationseinheit
- Unterrichtssprache Deutsch
- LV-Beginn 07.10.2008
Zeit und Ort
Liste der Termine wird geladen...
LV-Beschreibung
Lehrmethodik inkl. Einsatz von eLearning-Tools
Classroom instructions supported by associated lab course. The teaching language is English or German depending on the preferences of the audience.Inhalt/e
Provides an introduction to Artificial Intelligence and Knowledge-Based SystemsThemen
- Introduction
- Intelligent agents
- Solving problems by searching
- Informed search and exploration
- Constraint satisfaction problems
- Adversarial search
- Knowledge representation and reasoning
- Planning
- Uncertain knowledge and reasoning
- Learning
- Methods for selected application areas
Schlagworte
Artificial Intelligence, Knowledge-Based SystemsLehrziel
Acquiring the capability to design and implement software systems exploiting methods of Artificial IntelligenceErwartete Vorkenntnisse
The course builds on knowledge about propositional and predicate logic as well as logical inference techniques. These topics are typically covered by courses on Logic and Logic Programming.Literatur
Stuart Russell and Peter Norvig: Artificial Intelligence, A modern approach, Prentice Hall, 2003 Georg Gottlob, Thomas Frühwirth, Werner Horn (Hrsg.): Expertensysteme, Springer Verlag, 1990 Ivan Bratko: Prolog ‑ Programming for Artificial Intelligence, Addison‑Wesley, 1990Lehrmethodik inkl. Einsatz von eLearning-Tools
Classroom instructions supported by associated lab course. The teaching language is English or German depending on the preferences of the audience.Inhalt/e
Provides an introduction to Artificial Intelligence and Knowledge-Based SystemsThemen
- Introduction
- Intelligent agents
- Solving problems by searching
- Informed search and exploration
- Constraint satisfaction problems
- Adversarial search
- Knowledge representation and reasoning
- Planning
- Uncertain knowledge and reasoning
- Learning
- Methods for selected application areas
Schlagworte
Artificial Intelligence, Knowledge-Based SystemsLehrziel
Acquiring the capability to design and implement software systems exploiting methods of Artificial IntelligenceErwartete Vorkenntnisse
The course builds on knowledge about propositional and predicate logic as well as logical inference techniques. These topics are typically covered by courses on Logic and Logic Programming.Literatur
Stuart Russell and Peter Norvig: Artificial Intelligence, A modern approach, Prentice Hall, 2003 Georg Gottlob, Thomas Frühwirth, Werner Horn (Hrsg.): Expertensysteme, Springer Verlag, 1990 Ivan Bratko: Prolog ‑ Programming for Artificial Intelligence, Addison‑Wesley, 1990Prüfungsinformationen
Im Fall von online durchgeführten Prüfungen sind die Standards zu beachten, die die technischen Geräte der Studierenden erfüllen müssen, um an diesen Prüfungen teilnehmen zu können.
Prüfungsinhalt/e
Topics covered in the course including selected chapters of the mentioned literatureBeurteilungskriterien/-maßstäbe
Written examination
Prüfungsinhalt/e
Topics covered in the course including selected chapters of the mentioned literatureBeurteilungskriterien/-maßstäbe
Written examinationBeurteilungsschema
Note BenotungsschemaPosition im Curriculum
- Diplom-Lehramtsstudium Unterrichtsfach Informatik und Informatikmanagement
(SKZ: 884, Version: 04W.7)
-
2.Abschnitt
-
Fach: Angewandte Informatik (LI 2.3)
(Pflichtfach)
-
Knowledge Engineering (
2.0h VO / 2.0 ECTS)
- 621.050 Knowledge Engineering (2.0h VO / 2.0 ECTS)
-
Knowledge Engineering (
2.0h VO / 2.0 ECTS)
-
Fach: Angewandte Informatik (LI 2.3)
(Pflichtfach)
-
2.Abschnitt
- Bachelorstudium Informatik
(SKZ: 521, Version: 03W.1)
-
Fach: Knowledge Engineering
(Pflichtfach)
-
Knowledge Engineering (
2.0h VO / 2.0 ECTS)
- 621.050 Knowledge Engineering (2.0h VO / 2.0 ECTS)
-
Knowledge Engineering (
2.0h VO / 2.0 ECTS)
-
Fach: Knowledge Engineering
(Pflichtfach)
- Masterstudium Informatik
(SKZ: 921, Version: 03W.1)
-
Fach: Knowledge Engineering
(Wahlfach)
-
Knowledge Engineering (
2.0h VO / 2.0 ECTS)
- 621.050 Knowledge Engineering (2.0h VO / 2.0 ECTS)
-
Knowledge Engineering (
2.0h VO / 2.0 ECTS)
-
Fach: Knowledge Engineering
(Wahlfach)
- Diplomstudium Informatik
(SKZ: 880, Version: 02W)
-
2.Abschnitt
-
Fach: Angewandte Informatik inkl. Vertiefungsfach
(Pflichtfach)
-
Knowledge Engineering (
2.0h VO / 2.0 ECTS)
- 621.050 Knowledge Engineering (2.0h VO / 2.0 ECTS)
-
Knowledge Engineering (
2.0h VO / 2.0 ECTS)
-
Fach: Angewandte Informatik inkl. Vertiefungsfach
(Pflichtfach)
-
2.Abschnitt
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