Inhalt

[ 536DASCVIAU19 ] UE (*)Visual Analytics

Versionsauswahl
(*) Leider ist diese Information in Deutsch nicht verfügbar.
Workload Ausbildungslevel Studienfachbereich VerantwortlicheR Semesterstunden Anbietende Uni
1,5 ECTS B2 - Bachelor 2. Jahr Informatik Marc Streit 1 SSt Johannes Kepler Universität Linz
Detailinformationen
Quellcurriculum Bachelorstudium Artificial Intelligence 2019W
Ziele (*)In the practical course students will learn how to apply the theoretical concepts and foundations of visual analytics, visual data science, and visualization that have been introduced in the lecture.
Lehrinhalte (*)This practical course will cover all steps of the knowledge discovery pipeline, going from data wrangling and preprocessing all the way to interactive data exploration.
Beurteilungskriterien (*)Individual and group assignments.
Lehrmethoden (*)
  • Tutorials on various technologies, including Python, Matplotlib, Altair, VEGA, plot.ly and Tableau.
  • Presentation and discussion of assignments
Abhaltungssprache Englisch
Literatur (*)Will be provided during the semester in the form of hands-on tutorials and exercises.
Lehrinhalte wechselnd? Nein
Präsenzlehrveranstaltung
Teilungsziffer 24
Zuteilungsverfahren Direktzuteilung

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