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Languages of Artificial Intelligence

Sprachen der Künstlichen Intelligenz

6 LPunregelmäßigEN

Voraussetzungen

Inhalte

The course includes as topics, among others, languages and concrete AI applications for a number of paradigms, respectively, e.g.: • logical programming • functional programming • object-oriented programming • constraint-based programming • extensions of the above paradigms, if applicable

Lernziele

After successful completion of the module, students have a theoretically sound overview of selected programming paradigms in the AI context. They know concrete languages of these paradigms, their procedures for evaluation and typical applications. They are familiar with practical and methodological aspects in the application of AI methods and algorithms using different programming languages.

Prüfungsleistung

Final module examination: • Written examination, 90 min.

Literatur (6)

S. Russell, P. Norvig: Artificial Intelligence. A Modern Approach. Pearson. 2021.
F. Rabhi, G. Lapalme: Algorithms. A Functional Programming Approach. Peason. 2006.
U. Nilsson, J. Maluszynski: Logic, Programming, and Prolog. Wiley & Sons. 1995.
K. Apt: Principles of Constraint Programming. Cambridge University Press. 2010.
F. Baader, T. Nipkow: Term Rewriting and All That. Cambridge University Press. 1999.
E. Shalom: A Review of Programming Paradigms Throughout the History. 2015.

Bemerkungen

• Study programme Informatik M.Sc.: Compulsory elective module in complex „Praktische Informatik“ (level 400) • Study programme Artificial Intelligence M.Sc.: Compulsory elective module in complex „Advanced Methods" • Study programme Künstliche Intelligenz Technologie M.Sc.: Compulsory elective module in complex „Software-basierte Systeme“ • Study programme Angewandte Mathematik M.Sc.: Compulsory elective module in complex „Anwendungen“, field „Informatik“

Quelle: Modulbeschreibung der BTU · abgerufen 29.09.2026Original