Proseminar: Novel advances in Data Science


This seminar aims to teach the students about the principles of research work. It includes finding and organizing scientific knowledge, creating powerful presentations, and writing scientific reports. The students will work under the guidance of the Ph.D. students on state-of-the-art research topics from the area of Data Science, such as:

  • combining domain knowledge with machine learning
  • kernel-based machine learning
  • data encoders
  • active learning
  • surrogate machine learning
  • finite element analysis with machine learning

At the end of the semester, the students will present all the topics to the whole seminar group. As a result, every student will additionally get insights into various topics that will widen their horizons and make them more aware of the state-of-the-art advances in Data Science.