INFB Introduction to Knowledge Processing | Course | INF | |
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Lecturers : |
Dipl.-Inform. Ingo Boersch
eMail
Prof. Dr. Emanuel Kitzelmann eMail |
Term | 4 |
Course Classification : | Bachelor Informatik, Profil-Katalog B-INF-Profil | CH | 4 |
Language : | Deutsch/Englisch | Type | VÜ |
Type of examination : | PL | Credits | 5 |
Method of evaluation : | written examination 120 min | ||
Requirements : | |||
Cross References : | |||
Previous knowledges : | |||
Aids and special features : | Mode of assessment Pass at course examination Graded: yes Continuous Evaluation for assignments. Overall grade is the course examination grade. | ||
Teaching aims : | Students will know the basics of artificial intelligence (AI) and information processing 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 : | Russell S., Norvig P.: Artificial Intelligence: A Modern Approach, (4th Edition), 2021 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 Beierle C., Kern-Isberner G.: Methoden wissensbasierter Systeme: Grundlagen, Algorithmen, Anwendungen. Springer 2014 |