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Artificial Intelligence (DLMIMWKI)

Modulbezeichnung: Artificial Intelligence

Modulnummer:

DLMIMWKI

Semester:

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Dauer:

Minimaldauer 1 Semester

Modultyp:

Wahlpflicht

Regulär angeboten im:

WS, SS

Workload: 300 h

ECTS Punkte : 10

Zugangsvoraussetzungen:

None

Unterrichtssprache:

Englisch

Kurse im Modul:

Workload:

Self-study: 210 h
Self-examination: 30 h
Tutorials: 60 h

Kurskoordinatoren/Tutoren::

Please see the current list of tutors on the Learning Management System.

Modulverantwortliche(r):

Dr. Ulrich Kerzel

Bezüge zu anderen Programmen:

Master Artificial Intelligence

Bezüge zu anderen Modulen im Programm:

  • Advanced Robotics 4.0
  • Techniken und Methoden der agilen Softwareentwicklung

Qualifikations- und Lernziele des Moduls :

Artificial Intelligence
On successful completion of this course in the module, students will be able to:

  • remember the historical developments in the field of artificial intelligence.
  • analyze the different application areas of artificial intelligence.
  • comprehend expert systems.
  • apply Prolog to simple expert systems.
  • comprehend the brain and cognitive processes from a neuro-scientific point of view.
  • understand modern developments in artificial intelligence.

Seminar: AI and Society
On successful completion of this course in the module, students will be able to:

  • name selected current societal topics and issues related to artificial intelligence.
  • explain the influence and impact of artificial intelligence on societal and polital topics.
  • transfer theoretically-acquired knowledge to real-world cases.
  • treat in a scientific manner a select topic in the form of a written essay.
  • critically question and discuss current societal and political issues arising from the application of artificial intelligence techniques.
  • develop own problem-solving skills and processes through reflection on the possible impact of their future occupation in the sector of artificial intelligence.

Lehrinhalt des Moduls:

Artificial Intelligence

  • History of AI
  • AI application areas
  • Expert systems
  • Neuroscience
  • Modern AI systems

Seminar: AI and Society
In this module, students will reflect on current societal and political implications of artificial intelligence. To this end, pertinent topics will be introduced via articles that are then critically evaluated by the students in the form of a written essay.
A current list of topics is located in the Learning Management System.

Lehrmethoden:

See the contributing course outline

Literatur:

See the contributing course outline

Anteil der Modulnote an der Gesamtabschlussnote des Programms :

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Prüfungszulassungsvoraussetzung:

Abschlussprüfungen:

See course outline

DLMAIAI01:
Exam, 90 min. (50%)
DLMAISAIS01:
Written Assessment: Research Essay (50%)