Vorlesungs­verzeichnis

Data Analysis Project

053631 LP 2025W

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Moodle

Vortragende der Germanistik:

Ziele, Inhalte und Methode der Lehrveranstaltung

During a data analysis project, students acquire the ability to solve data science projects using the methods and techniques they have already learned during their studies. The range of possible project topics is quite broad, from theoretical questions to applied topics with a potential industry partnership. Most projects are for single students, with the intention that they will transform into suitable thesis projects. Sometimes, projects can be group projects for more than one student who will work together. Supervisory meetings will be arranged and agreed upon with the respective supervisor/s.

We are planning a joint "Data Science Day" in May 2026, in which the students present their work in a poster session to a broader audience, including first and second-semester students of the Data Science programs.

 

Art der Leistungskontrolle und erlaubte Hilfsmittel

The project must be completed by the end of the term.

Each project will consist of an implementation part, documentation part, presentation/poster part, and participation part – to be specified by the particular project supervisor/s. In addition, we will ask you to broaden your horizons by attending a couple of research talks organized by the research network during the semester (10%).

 

Literatur

To be determined by project supervisors.

 

Prüfungsstoff

To be determined by project supervisors.

 

Mindestanforderungen und Beurteilungsmaßstab

The project must be completed by the end of the term. The grading scale for the course will be:
1: at least 87.5%
2: at least 75.0%
3: at least 62.5%
4: at least 50.0%