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INFB  Knowledge Processing II Course INF
Lecturers : Dipl.-Inform. Ingo Boersch    eMail
Prof. Dr. Emanuel Kitzelmann    eMail
Term 5
Course Classification : Bachelor Informatik, Profil-Katalog B-INF-Profil CH 4
Language : Deutsch Type VÜ 
Type of examination : PL  Credits
Method of evaluation : written examination 120 min 
Requirements : Introduction to Knowledge Processing
Cross References :  
Previous knowledges :  
Aids and special features :  
Teaching aims : The students know and command special topics of information processing and artificial intelligence (AI) as well as their practical applications in computer science, medical informatics and digital media.
This covers also the ability to know, to design, and to evaluate AI applications in these domains as well as the knowledge about practical applications.
The students are able to apply, to construct and to implement relevant processes and algorithms, including estimating and judging their performance, also with respect to a simulation of human intelligence. Special applications can be the domain of autonomous mobile systems or knowledge based systems in medicine.  
Contents :

Based on the Fundamentals of Knowledge Processing (4th Sem.) special topics of artificial intelligence are in the focus of this module. The set of selected topics depends on the available and possible teaching methods (online or on-site) as well as on the skills oft the students.
Examples for the topics are:
• introduction, formal/theoretical/logical basics for knowledge representation and inference
• logical programming
• rule-based systems and expert systems (in medicine, for example) / Rule Engines
• Vocabularies / semantic networks
• description logics (representing knowledge by terminological logics and automatic reasoning)
• ontologies and Web Ontology Languages
• autonomous mobile systems, service robotics
• action and behavior planning / control architectures
• navigation – self localization and path planning
where applicable: image processing  

Literature : Skript/Folien zur Lehrveranstaltung in Moodle
Boersch I., Heinsohn J., Socher R.: Wissensverarbeitung - Eine Einführung in die KI, Spektrum, 2. Auflage, 2007
Spreckelsen, C., Spitzer, K.: Wissensbasen und Expertensysteme in der Medizin: KI-Ansätze zwischen klinischer Entscheidungsunterstützung und medizinischem Wissensmanagement, Vieweg+Teubner, 2008
Baader et al.: The Description Logic Handbook, 2nd ed., Cambridge, 2010
Lämmel U., Cleve J.: Künstliche Intelligenz, Hanser Fachbuch, 2020
Beierle C., Kern-Isberner G.: Methoden wissensbasierter Systeme: Grundlagen, Algorithmen, Anwendungen. 6. Auflage, Springer 2019
Russell S., Norvig P.: Artificial Intelligence: A Modern Approach, (4th Edition), 2020
Horridge M., et al.: A Practical Guide To Building OWL Ontologies Using The Protégé-OWL Plugin and CO-ODE Tools Edition 1.2, The University of Manchester, 2009
Thrun S., Burgard W., Fox D.: Probabilistic Robotics. MIT Press, Cambridge, MA, 2006
Weitere Literatur wird in der Lehrveranstaltung angegeben  


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