14900 - Master Seminar Applied Mathematics Modulübersicht

Module Number: 14900
Module Title:Master Seminar Applied Mathematics
  Masterseminar Angewandte Mathematik
Department: Faculty 1 - Mathematics, Computer Science, Physics, Electrical Engineering and Information Technology
Responsible Staff Member:
  • Prof. Dr. rer. nat. habil. Breuß, Michael
Language of Teaching / Examination:English
Duration:1 semester
Frequency of Offer: Every semester
Credits: 4
Learning Outcome:

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.

Contents:

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

Recommended Prerequisites:None
Mandatory Prerequisites:
  • at least 60 credt points
Forms of Teaching and Proportion:
  • Seminar / 2 Hours per Week per Semester
  • Self organised studies / 90 Hours
Teaching Materials and Literature:

Literature references will be provided during the first week of lectues.

Module Examination:Continuous Assessment (MCA)
Assessment Mode for Module Examination:
  • Seminar presentation (30-45 min) and handout (10-15 pages), depending on the topic (70%)
  • Active participation in discussions (30%)
Evaluation of Module Examination:Study Performance – ungraded
Limited Number of Participants:None
Part of the Study Programme:
  • Master (research-oriented) / Artificial Intelligence / PO 2022 - 1. SÄ 2024
Remarks:
  • Study programme Artificial Intelligence M.Sc.: Compulsory elective module in complex "Seminars or Laboratories" 
Module Components:
  • Master Seminar Applied Mathematics
Components to be offered in the Current Semester:
  • no assignment