| INFB Introduction to Knowledge Processing | Course | INF | |
|---|---|---|---|
| Lecturers : |
Dipl.-Inform. Ingo Boersch eMail | Homepage Prof. Dr.-Ing. Jochen Heinsohn eMail | Homepage |
Term | 4 |
| Course Classification : | Informatics Bachelor, Core elective modules B-INF-Profil | CH | 4 |
| Language : | Deutsch/Englisch | Type | L E |
| Type of examination : | PL | Credits | 5 |
| Method of evaluation : | written examination 120 min | ||
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| Teaching aims : | Students will know the basics of information processing and artificial intelligence (AI) as well as their practical applications in computer science and media. They will learn how to apply, construct and implement relevant processes and algorithms, including estimating and judging their performance. | ||
| Contents : | Introduction to AI, search procedures (esp. heuristic), rule-based knowledge representation (forward and backward chaining), derivative tree, conflicts, metarules), logic-based knowledge representation, expert systems and tools, introduction to soft computing, uncertainties and ambiguity, security factors, fuzzy logic, time-knowledge and temporal inference and machine learning. | ||
| Literature : | I. Boersch, J. Heinsohn, R. Socher: Wissensverarbeitung - Eine Einführung in die Künstliche Intelligenz, Spektrum, 2. Auflage, 2007 (die erste Auflage aus dem Jahr 2000 ist in der Bibliothek ausleihbar) Uwe Lämmel, Jürgen Cleve: Künstliche Intelligenz , Hanser Fachbuchverlag, Januar 2004 | ||