inf537 - Intelligent Systems (Complete module description)

Module label	Intelligent Systems
Modulkürzel	inf537
Credit points	6.0 KP
Workload	180 h
Institute directory	Department of Computing Science
Verwendbarkeit des Moduls	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
Zuständige Personen	Sauer, Jürgen (module responsibility) Lehrenden, Die im Modul (Prüfungsberechtigt)
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.
Literaturempfehlungen	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
Languages of instruction	German, English
Duration (semesters)	1 Semester
Module frequency	annual
Module capacity	unlimited
Teaching/Learning method	V+Ü
Previous knowledge	Production oriented business informatics

Lehrveranstaltungsform	SWS	Frequency	Workload of compulsory attendance
Lecture	2	WiSe	28
Exercises	2	WiSe	28
Präsenzzeit Modul insgesamt			56 h

Examination	Prüfungszeiten	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