Stud.IP Uni Oldenburg
University of Oldenburg
12.07.2020 19:09:25
inf530 - Artificial Intelligence (Complete module description)
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Module label Artificial Intelligence
Module code inf530
Credit points 6.0 KP
Workload 180 h
Faculty/Institute Department of Computing Science
Used in course of study
  • Bachelor's Programme Business Informatics (Bachelor) >
  • Bachelor's Programme Computing Science (Bachelor) >
  • Master of Education Programme (Gymnasium) Computing Science (Master of Education) >
Contact person
Module responsibility
Authorized examiners
Entry requirements
Skills to be acquired in this module
The students are familiar with the basic concepts of artificial intelligence (AI). They know the concept of rational agents and their behavior. They know how to implement expert systems.They also know basic search and problem solving techniques as well as techniques of knowledge representation.
The students can compare different problem solving techniques and use them within other problem contexts.

Professional competence
The students:
  • describe the concept of rational agents and their behavior in an agent environemt
  • name and describe the basic search and problem solving techniques of Artificial Intelligence
  • describe and implement expert systems
  • describe basic techniques of knowledge representation

Methodological competence
The students:
  • acknowledge the basic methods of AI
  • transfer AI methods to other application areas
  • evaluate AI methods regarding their appropriateness for destinct problem areas
  • modify and adapt AI methods for specific application areas

Social competence
The students:
  • work in teams
  • present results to groups

The students:
  • reflect their results with regard to the methods of AI
Module contents
  • Overview of AI
  • Rational agents and agent based systems
  • Search and other problem solving techniques
  • Knowledge representation
  • Planning
Reader's advisory
  • Russel, S. J.: Norvig, Peter (2012): Artificial Intelligence: A modern Aproach, 3rd Ed.
  • Winston, P.H. (1994): Artificial Intelligence, 3rd Edition
Language of instruction German
Duration (semesters) 1 Semester
Module frequency jährlich
Module capacity unlimited
Modullevel AS (Akzentsetzung / Accentuation)
Modulart je nach Studiengang Pflicht oder Wahlpflicht
Lern-/Lehrform / Type of program V+Ü
Vorkenntnisse / Previous knowledge Grundkenntnisse Informatik/Wirtschaftsinformatik
Course type Comment SWS Frequency Workload attendance
Exercises 2.00 SuSe 28 h
Lecture 2.00 SuSe 28 h
Total time of attendance for the module 56 h
Examination Time of examination Type of examination
Final exam of module
At the end of the lecture period
Written or oral exam