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 | 5 |
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. | ||
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 |