Module label | Artificial Intelligence |
Module code | inf530 |
Credit points | 6.0 KP |
Workload | 180 h |
Institute directory | Department of Computing Science |
Applicability of the module |
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Responsible persons |
Sauer, Jürgen (Module responsibility)
Lehrenden, Die im Modul (Authorized examiners)
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Prerequisites | |
Skills to be acquired in this module | The students are familiar with the basic concepts of artificial intelligence (AI). They know the concept of rational agents and their behavior. They know how to implement expert systems.They also know basic search and problem solving techniques as well as techniques of knowledge representation. The students can compare different problem solving techniques and use them within other problem contexts. Professional competence The students:
Methodological competence The students:
Social competence The students:
Self-competence The students:
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Module contents |
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Reader's advisory |
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Links | |
Language of instruction | German |
Duration (semesters) | 1 Semester |
Module frequency | jährlich |
Module capacity | unlimited |
Modullevel / module level | AS (Akzentsetzung / Accentuation) |
Modulart / typ of module | je nach Studiengang Pflicht oder Wahlpflicht |
Lehr-/Lernform / Teaching/Learning method | V+Ü |
Vorkenntnisse / Previous knowledge | Grundkenntnisse Informatik/Wirtschaftsinformatik |
Course type | Comment | SWS | Frequency | Workload of compulsory attendance |
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Exercises | 2 | SuSe | 28 | |
Lecture | 2 | SuSe | 28 | |
Total time of attendance for the module | 56 h |
Examination | Time of examination | Type of examination |
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Final exam of module | At the end of the lecture period |
Written or oral exam |