621.050 (08W) Knowledge Engineering
Overview
- Lecturer
- Course title german Knowledge Engineering
- Type Lecture
- Hours per Week 2.0
- ECTS credits 2.0
- Registrations 63
- Organisational unit
- Language of instruction German
- Course begins on 07.10.2008
Time and place
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Course Information
Teaching methodology including the use of eLearning tools
Classroom instructions supported by associated lab course. The teaching language is English or German depending on the preferences of the audience.Course content
Provides an introduction to Artificial Intelligence and Knowledge-Based SystemsTopics
- 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
Keywords
Artificial Intelligence, Knowledge-Based SystemsTeaching objective
Acquiring the capability to design and implement software systems exploiting methods of Artificial IntelligencePrior knowledge expected
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.Literature
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, 1990Teaching methodology including the use of eLearning tools
Classroom instructions supported by associated lab course. The teaching language is English or German depending on the preferences of the audience.Course content
Provides an introduction to Artificial Intelligence and Knowledge-Based SystemsTopics
- 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
Keywords
Artificial Intelligence, Knowledge-Based SystemsTeaching objective
Acquiring the capability to design and implement software systems exploiting methods of Artificial IntelligencePrior knowledge expected
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.Literature
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, 1990Examination information
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.
Examination topic(s)
Topics covered in the course including selected chapters of the mentioned literatureAssessment criteria / Standards of assessment for examinations
Written examination
Examination topic(s)
Topics covered in the course including selected chapters of the mentioned literatureAssessment criteria / Standards of assessment for examinations
Written examinationGrading scheme
Grade / Grade grading schemePosition in the curriculum
- Teacher training programme Computer Sciences and Computer Sciences Management (Secondary School Teacher Accreditation)
(SKZ: 884, Version: 04W.7)
-
Stage two
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Subject: Angewandte Informatik (LI 2.3)
(Compulsory subject)
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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)
-
Subject: Angewandte Informatik (LI 2.3)
(Compulsory subject)
-
Stage two
- Bachelor's degree programme Informatics
(SKZ: 521, Version: 03W.1)
-
Subject: Knowledge Engineering
(Compulsory subject)
-
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)
-
Subject: Knowledge Engineering
(Compulsory subject)
- Master's degree programme Informatics
(SKZ: 921, Version: 03W.1)
-
Subject: Knowledge Engineering
(Compulsory elective)
-
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)
-
Subject: Knowledge Engineering
(Compulsory elective)
- Diploma programme Informatics
(SKZ: 880, Version: 02W)
-
Stage two
-
Subject: Angewandte Informatik inkl. Vertiefungsfach
(Compulsory subject)
-
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)
-
Subject: Angewandte Informatik inkl. Vertiefungsfach
(Compulsory subject)
-
Stage two
Equivalent courses for counting the examination attempts
This course is not assigned to a sequence of equivalent courses