Data Analysis Project
053631 LP 2026S
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, ranging 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. At times, projects can be group projects for 2-3 students, who will work on the project together.
We are planning a joint "Data Science Day" on May 29th (as well as during the summer semester 2027), 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 (22,5%), documentation part (22,5%), presentation/poster part (22,5%), and participation part (22,5%) – 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%
Abkürzungen: ÄdL: Ältere deutsche Sprache und Literatur – DaF/Z: Deutsch als Fremd- und Zweitsprache – FD: Fachdidaktik Deutsch – NdL: Neuere deutsche Literatur – SpraWi: Sprachwissenschaft