040309 VU Doing Data Science (MA) (2021S)
Prüfungsimmanente Lehrveranstaltung
Labels
DIGITAL
The course language is English.Only students who signed up for the class in univis/u:space are allowed to take the class (that means, that you have to at least be on the waiting list if you want to take this class). No exceptions possible.
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Do 11.02.2021 09:00 bis Mo 22.02.2021 12:00
- Anmeldung von Do 25.02.2021 09:00 bis Fr 26.02.2021 12:00
- Abmeldung bis Mi 31.03.2021 23:59
Details
max. 40 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
This course will be taught fully digitally. It will consist of a mixture of live online meetings (including Q&A sessions and tutorials) and recorded videos. Students will have to present their work online and hence need a microphone/webcam. For more details, see the schedule in Moodle.
- Dienstag 02.03. 13:15 - 14:45 Digital
- Mittwoch 03.03. 15:00 - 16:30 Digital
- Dienstag 09.03. 13:15 - 14:45 Digital
- Mittwoch 10.03. 15:00 - 16:30 Digital
- Dienstag 16.03. 13:15 - 14:45 Digital
- Mittwoch 17.03. 15:00 - 16:30 Digital
- Dienstag 23.03. 13:15 - 14:45 Digital
- Mittwoch 24.03. 15:00 - 16:30 Digital
- Dienstag 13.04. 13:15 - 14:45 Digital
- Mittwoch 14.04. 15:00 - 16:30 Digital
- Dienstag 20.04. 13:15 - 14:45 Digital
- Mittwoch 21.04. 15:00 - 16:30 Digital
- Dienstag 27.04. 13:15 - 14:45 Digital
- Mittwoch 28.04. 15:00 - 16:30 Digital
- Dienstag 04.05. 13:15 - 14:45 Digital
- Mittwoch 05.05. 15:00 - 16:30 Digital
- Dienstag 11.05. 13:15 - 14:45 Digital
- Mittwoch 12.05. 15:00 - 16:30 Digital
- Dienstag 18.05. 13:15 - 14:45 Digital
- Mittwoch 19.05. 15:00 - 16:30 Digital
- Mittwoch 26.05. 15:00 - 16:30 Digital
- Dienstag 01.06. 13:15 - 14:45 Digital
- Mittwoch 02.06. 15:00 - 16:30 Digital
- Dienstag 08.06. 13:15 - 14:45 Digital
- Mittwoch 09.06. 15:00 - 16:30 Digital
- Dienstag 15.06. 13:15 - 14:45 Digital
- Mittwoch 16.06. 15:00 - 16:30 Digital
- Dienstag 22.06. 13:15 - 14:45 Digital
- Mittwoch 23.06. 15:00 - 16:30 Digital
- Dienstag 29.06. 13:15 - 14:45 Digital
- Mittwoch 30.06. 15:00 - 16:30 Digital
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
This course covers the fundamentals of setting up, managing, and conducting data science projects. Students acquire knowledge of processes describing how to approach and implement data science projects. They know the particular steps of the CRISP industry-standard, learn about various cases of how to apply this to different applications (from different areas such as business, humanities, astronomy), and are able to conduct data science projects themselves.This course consists of lectures, tutorials, showcases, and project presentations. Students will work on their own data science projects in interdisciplinary groups.
Art der Leistungskontrolle und erlaubte Hilfsmittel
Midterm test (30%): March 24, 15:00
Final test (30%): May 12, 15:00
Project work (40%): Final presentations: June 29
Final test (30%): May 12, 15:00
Project work (40%): Final presentations: June 29
Mindestanforderungen und Beurteilungsmaßstab
Two of three examinations must be passed individually.
For project work, attendance is mandatory, including kick-off and project presentations.
For project work, attendance is mandatory, including kick-off and project presentations.
Prüfungsstoff
Midterm test/Final test: Slides and topics covered in the lectures.
Project work: topic-specific poster presentation, handout, KNIME workflow.
Project work: topic-specific poster presentation, handout, KNIME workflow.
Literatur
see lecture.
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Fr 12.05.2023 00:12