053631 LP Data Analysis Project (2022W)
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mi 14.09.2022 09:00 bis Mi 21.09.2022 09:00
- Abmeldung bis Fr 14.10.2022 23:59
Details
max. 25 Teilnehmer*innen
Sprache: Englisch
Lehrende
- Drew Dimmery
- Ludwig Maximilian Breuer
- Jan Fabian Ehmke
- Steffen Elting
- Philipp Grohs
- Barbara Heinisch
- Laura Koesten
- Rico Kötschau
- Lukas Liehr
- Torsten Möller
- Arndt Niebisch
- Claudia Plant
- Nina Rastinger
- Claudia Resch
- Simon Rittel
- Benjamin Roth
- Anastasiia Sedova
- Sebastian Tschiatschek
Termine
Zur Zeit sind keine Termine bekannt.
Information
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.
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.
Prüfungsstoff
To be determined by project supervisors.
Literatur
To be determined by project supervisors.
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Do 02.02.2023 12:28