inf530 - Artificial Intelligence (Complete module description)

Module label	Artificial Intelligence
Module code	inf530
Credit points	6.0 KP
Workload	180 h
Institute directory	Department of Computing Science
Applicability of the module	Bachelor's Programme Business Informatics (Bachelor) > Akzentsetzungsbereich Praktische Informatik und Angewandte Informatik Bachelor's Programme Computing Science (Bachelor) > Akzentsetzungsbereich - Wahlbereich Informatik Master of Education Programme (Gymnasium) Computing Science (Master of Education) > Wahlpflichtmodule (Angewandte Informatik) Master of Education Programme (Hauptschule and Realschule) Computing Science (Master of Education) > Mastermodule Master of Education Programme (Vocational and Business Education) Computing Science (Master of Education) > Akzentsetzungsbereich
Responsible persons	Sauer, Jürgen (module responsibility) Lehrenden, Die im Modul (authorised to take exams)
Prerequisites	Basic knowledge of computer science/business informatics
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 Self-competence 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
Recommended reading	Russel, S. J.: Norvig, Peter (2012): Artificial Intelligence: A modern Aproach, 3rd Ed. Winston, P.H. (1994): Artificial Intelligence, 3rd Edition
Links
Language of instruction	German
Duration (semesters)	1 Semester
Module frequency	annual
Module capacity	unlimited
Teaching/Learning method	V+Ü

Type of course	SWS	Frequency	Workload of compulsory attendance
Lecture	2	SuSe	28
Exercises	2	SuSe	28
Total module attendance time			56 h

Examination	Prüfungszeiten	Type of examination
Final exam of module	At the end of the lecture period	Written or oral exam