Data Analysis Project
053631 LP 2022W
Vortragende der Germanistik:
Ziele, Inhalte und Methode der Lehrveranstaltung
In the course of a data analysis project, students acquire the ability to solve data science projects using the methods and techniques that the students 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. Each project should be targeted at groups of 1-4 students, who will work on the project for the full semester, in addition to taking other classes. Each project will be supervised by our teaching staff, sometimes in cooperation with an industry partner. Common sessions and meetings will be arranged and agreed upon with the respective supervisor/s.
We are planning a joint "Data Science Day" at the beginning of summer semester 2022, 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 (25%), documentation part (25%), presentation/poster part (25%), and participation part (25%) – to be specified by the particular project supervisor/s.
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 term. To pass, the average grade based on above examinations must be at least sufficient / 4.0.
Abkürzungen: ÄdL: Ältere deutsche Sprache und Literatur – DaF/Z: Deutsch als Fremd- und Zweitsprache – FD: Fachdidaktik Deutsch – NdL: Neuere deutsche Literatur – SpraWi: Sprachwissenschaft