Stud.IP Uni Oldenburg
University of Oldenburg
28.02.2024 23:53:37
inf537 - Intelligent Systems (Complete module description)
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Module label Intelligent Systems
Module abbreviation inf537
Credit points 6.0 KP
Workload 180 h
Institute directory Department of Computing Science
Applicability of the module
  • Master's Programme Business Informatics (Master) > Akzentsetzungsmodule Bereich Wirtschaftsinformatik
  • Master's Programme Business Informatics (Master) > Akzentsetzungsmodule der Informatik
  • Master's Programme Computing Science (Master) > Angewandte Informatik
  • Master's Programme Engineering of Socio-Technical Systems (Master) > Embedded Brain Computer Interaction
  • Master's Programme Engineering of Socio-Technical Systems (Master) > Human-Computer Interaction
  • Master's Programme Engineering of Socio-Technical Systems (Master) > Systems Engineering
Responsible persons
  • Sauer, Jürgen (module responsibility)
  • Lehrenden, Die im Modul (authorised to take exams)
Prerequisites
Production oriented business informatics
Skills to be acquired in this module
Professional competence
The students:
  • name the structure of agent-based systems
  • use problem-solving methods for complex problems
  • characterise the application area of process planning
  • evaluate the suitablilty of processes regarding to specific problems
Methodological competence
The students:
  • assign problem-solving methods to different problems
Social competence
The students:
  • implement selected methods in small teams
Self-competence
The students:
  • develop own solutions for given problems
Module contents
A lot of application areas use "intelligent" problem-solving methods. These are the main focus of this lecture. They will be illustrated by examples in order to enhance the students' problem-solving abilities. These inlcude:
  • A brief introduction into AI
  • Agent systems and
  • Solution methods of AI like heuristics, meta-heuristics, soft computing methods. To apply and foster the contents of the lecture, an intelligent planning system is implemented in practical exercises.
Recommended reading
Suggested reading:
  • Sauer, J.: Intelligente Ablaufplanung in lokalen und verteilten Anwendungsszenarien, Teubner, 2004
  • Russel/Norvig: Künstliche Intelligenz, 3rd edition, Pearson, 2012
  • Ghallab/ Nau/Traverso: Automated Planning, Morgan Kaufman, 2004
Links
www.wi-ol.de
Languages of instruction German, English
Duration (semesters) 1 Semester
Module frequency annual
Module capacity unlimited
Reference text
Dieses Modul ist im Rahmen der Projekte FliF und FoL konzipiert worden
Teaching/Learning method 1VL + 1Ü
Previous knowledge Production oriented business informatics
Type of course Comment SWS Frequency Workload of compulsory attendance
Lecture 2 WiSe 28
Exercises 2 WiSe 28
Total module attendance time 56 h
Examination Examination times Type of examination
Final exam of module
At the end of the lecture period
Practical exercises and oral exam or practical exercises and written exam or portfolio