621.050 (08W) Knowledge Engineering

Wintersemester 2008/09

Registration deadline has expired.

First course session
07.10.2008 16:00 - 18:00 S.2.42 On Campus
... no further dates known

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 Systems

Topics

  • 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 Systems

Teaching objective

Acquiring the capability to design and implement software systems exploiting methods of Artificial Intelligence

Prior 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, 1990

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 Systems

Topics

  • 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 Systems

Teaching objective

Acquiring the capability to design and implement software systems exploiting methods of Artificial Intelligence

Prior 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, 1990

Examination 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 literature

Assessment criteria / Standards of assessment for examinations

Written examination

Examination topic(s)

Topics covered in the course including selected chapters of the mentioned literature

Assessment criteria / Standards of assessment for examinations

Written examination

Grading scheme

Grade / Grade grading scheme

Position in the curriculum

  • Teacher training programme Computer Sciences and Computer Sciences Management (Secondary School Teacher Accreditation) (SKZ: 884, Version: 04W.7)
    • Stage two
      • Subject: Angewandte Informatik (LI 2.3) (Compulsory subject)
        • Knowledge Engineering ( 2.0h VO / 2.0 ECTS)
          • 621.050 Knowledge Engineering (2.0h VO / 2.0 ECTS)
  • 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)
  • 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)
  • 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)

Equivalent courses for counting the examination attempts

This course is not assigned to a sequence of equivalent courses