Inhalt

[ 951RDSDDSCS24 ] SE (*)Data Science

Versionsauswahl
(*) Leider ist diese Information in Deutsch nicht verfügbar.
Workload Ausbildungslevel Studienfachbereich VerantwortlicheR Semesterstunden Anbietende Uni
4 ECTS M1 - Master 1. Jahr Statistik Andreas Quatember 2 SSt Johannes Kepler Universität Linz
Detailinformationen
Quellcurriculum Masterstudium Statistics and Data Science 2025W
Lernergebnisse
Kompetenzen
(*)Students are able to independently acquire knowledge and insights from the literature in a specific field of statistics and data science including recent developments and to pass on the knowledge they have acquired.
Fertigkeiten Kenntnisse
(*)
  • Knowing the techniques for scientific writing and independent processing of a statistical question (k1,k2,k3)
  • Applying presentation techniques (k2,k3)
  • Reading, understanding and critically reflecting on scientific literature on a given in-depth topic from the field of statistics and data science (k2,k4,k5)
  • Writing a scientifically correct seminar report on a topic (k2,k4,k5,k6)
  • Conveying and defending the acquired insights in presentations (k2,k4,k5)
  • Actively participating in discussions on the presentations of other participants (k4,k5)
(*)The knowledge of in-depth methods in a special field of statistics and data science with a changing focus must be acquired through literature research and own considerations.
Beurteilungskriterien (*)presentation, discussion, written report
Lehrmethoden (*)presentations by students

plenary discussion of each presentation

Abhaltungssprache Englisch
Literatur (*)will be announced each semester
Lehrinhalte wechselnd? Ja
Gilt als absolviert, wenn (*)951APSTDASS23:SE Data Science (6 ECTS)
951APSTSAPS17 : SE Statistical Applications (6 ECTS) (2017W-2023S)

Die überschüssigen ECTS können für die freien Studienleistungen verwendet werden.

Präsenzlehrveranstaltung
Teilungsziffer 20
Zuteilungsverfahren Zuteilung nach Vorrangzahl