TU Wien:Visual Data Science VU (Schmidt)

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Daten

Lecturers Johanna Schmidt
ECTS 3
Department Visual Computing and Human-Centered Technology
When winter semester
Language Deutsch
Links tiss:186868, Homepage, Mattermost-Channel
Zuordnungen
Master Data Science Wahlmodul VAST/EX - Visual Analytics and Semantic Technologies - Extension

Mattermost: Channel "visual-data-science"RegisterMattermost-Infos Mattermost: Channel "visual-data-science"RegisterMattermost-Infos

Inhalt

noch offen, bitte nicht von TISS/u:find oder Homepage kopieren, sondern aus Studierendensicht beschreiben.

https://www.cg.tuwien.ac.at/courses/VisDataScience/

Ablauf

Different "grading packages" available: Either do:

  • two practical exercises with datasets, visualize and analyze data and submit reports + presentation in the end.
  • 1 practical exercise with dataset, as above. Then a final exam.

Attendance is checked with list, depending on grading package a certain number of attendances can earn you points toward your final grade.

Benötigte/Empfehlenswerte Vorkenntnisse

Knowledge of Python, especially Pandas, and visualization tools such as matplotlib, seaborn, etc., is necessary.

Some statistical knowledge is also requrired, and visual data analysis.

Vortrag

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Übungen

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Prüfung, Benotung

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Dauer der Zeugnisausstellung

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Zeitaufwand

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Unterlagen

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Tipps

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Verbesserungsvorschläge / Kritik

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