Master Seminar Data Science - Interaktive Studienpläne der TU Ilmenau

Presentation followed by a discussion

The lecturer and/or the examination office will inform about details and specific times.

Lecturers from the computer science disciplines of Faculty Computer Science and Automotion and from the Institute of Mathematics

​Students are able to independently work their way into a challenging and complex data science topic. They can familiarize themselves with current scientific findings, analyze, and evaluate them. They are capable of summarizing insights from the literature, contextualizing them, completing missing steps, and preparing them for presentation. They can present the developed content in a lecture and reflect on it in a subject-specific discussion.

The seminar teaches working with scientific literature and other relevant content as well as presenting results.
- Development of a data science topic under supervision
- Documentation of the work (literature review, state of knowledge)
- Presentation with subsequent discussion

Paper, Presentations

Topic-specific literature will be provided by the supervisor, and additional ressources should be independently researched by the student.
It is also recommended to consult literature on academic writing, literature research (such as resources provided by the library), and presentation techniques.