Geometric and visual data analysis

Dozent/in	Dr. phil. Kenneth Horvath
Veranstaltungsart	Masterseminar
Code	FS211340
Semester	Frühjahrssemester 2021
Durchführender Fachbereich	Soziologie
Studienstufe	Master
Termin/e	Do, 25.02.2021, 14:15 - 16:00 Uhr, 4.B02 Do, 04.03.2021, 14:15 - 16:00 Uhr, 4.B02 Do, 11.03.2021, 14:15 - 16:00 Uhr, HS 14 Do, 18.03.2021, 14:15 - 16:00 Uhr, 4.B02 Do, 25.03.2021, 14:15 - 16:00 Uhr, 4.B02 Do, 01.04.2021, 14:15 - 16:00 Uhr, 4.B02 Do, 15.04.2021, 14:15 - 16:00 Uhr, 4.B02 Do, 22.04.2021, 14:15 - 16:00 Uhr, 4.B02 Do, 29.04.2021, 14:15 - 16:00 Uhr, 4.B02 Do, 06.05.2021, 14:15 - 16:00 Uhr, 4.B02 Do, 20.05.2021, 14:15 - 16:00 Uhr, 4.B02 Do, 27.05.2021, 14:15 - 16:00 Uhr, 4.B02
Umfang	2 Semesterwochenstunden
Inhalt	In an age of big data and digitisation, visualisation is becoming increasingly relevant for the analysis and presentation of statistical data. This course introduces different forms of graphically investigating patterns in data. It discusses the underlying ideas of how numbers and relations translate into geometric representations as well as concrete techniques for realizing visualisations using the free statistical software R. A special emphasis will be on exploratory forms of visual data analysis and "topological" methods for representing complex relations in social science data (such as Multiple Correspondence Analysis).
E-Learning	Please note: The zoom-links to the first three sessions will be published on OLAT: https://lms.uzh.ch/url/repositoryentry/16966320173/coursenode/79952613783583
Voraussetzungen	Basic knowledge of statistical data analysis.
Sprache	Englisch
Abschlussform / Credits	Active Participation and Assignments / 4 Credits
Hinweise	This seminar will be held in English.
Hörer-/innen	Nein
Kontakt	kenneth.horvath@unilu.ch
Material	Literature and further material will be provided via MOODLE.