Module

Voraussetzungen

Inhalte

Topics covered include object detection, object tracking, image segmentation, data sets, autoencoders, dictionary learning and Markov decision processes.

Lernziele

Upon successful completion, students will have in-depth knowledge of artificial intelligence. They will be able to understand, examine, and critically analyze the methods. Students will be able to present their findings. They will have an advanced level of knowledge about fundamental and current research directions in artificial intelligence.

Prüfungsleistung

• Seminar presentation (30-45 min) and handout (10-15 pages), depending on the topic (70%) • Active participation in discussions (30%)

Bemerkungen

• Study programme Artificial Intelligence M.Sc.: Compulsory elective module in complex "Seminars or Laboratories"