Master Seminar Applied Mathematics
Masterseminar Angewandte Mathematik
4 CPevery semesterEN
Prerequisites
Mandatory, as written
• at least 60 credt points
Contents
Topics covered include object detection, object tracking, image segmentation, data sets, autoencoders, dictionary learning and Markov decision processes.
Learning outcomes
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.
Assessment
• Seminar presentation (30-45 min) and handout (10-15 pages), depending on the topic (70%) • Active participation in discussions (30%)
Literature (1)
- Literature references will be provided during the first week of lectues.
Remarks
• Study programme Artificial Intelligence M.Sc.: Compulsory elective module in complex "Seminars or Laboratories"
Source: BTU's module description · retrieved 29 Sep 2026Original