070158 UE Methodological course - Introduction to DH: Tools and Techniques (2022S)
Prüfungsimmanente Lehrveranstaltung
Labels
DIGITAL
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 07.02.2022 08:00 bis Mi 23.02.2022 12:00
- Anmeldung von Fr 25.02.2022 08:00 bis Mo 28.02.2022 12:00
- Abmeldung bis Do 31.03.2022 23:59
Details
max. 25 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
Mittwoch
02.03.
15:00 - 16:30
Digital
Mittwoch
09.03.
15:00 - 16:30
Digital
Mittwoch
16.03.
15:00 - 16:30
Digital
Mittwoch
23.03.
15:00 - 16:30
Digital
Mittwoch
30.03.
15:00 - 16:30
Digital
Mittwoch
06.04.
15:00 - 16:30
Digital
Mittwoch
27.04.
15:00 - 16:30
Digital
Mittwoch
04.05.
15:00 - 16:30
Digital
Mittwoch
11.05.
15:00 - 16:30
Digital
Mittwoch
18.05.
15:00 - 16:30
Digital
Mittwoch
25.05.
15:00 - 16:30
Digital
Mittwoch
01.06.
15:00 - 16:30
Digital
Mittwoch
08.06.
15:00 - 16:30
Digital
Mittwoch
15.06.
15:00 - 16:30
Digital
Mittwoch
22.06.
15:00 - 16:30
Digital
Mittwoch
29.06.
15:00 - 16:30
Digital
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
Assessment will be graded based on completion of DataCamp tutorials (10%), homework assignments (60%), and a final project (30%).
Mindestanforderungen und Beurteilungsmaßstab
This is an introductory course so no prior experience with the tools and techniques discussed is expected.
Prüfungsstoff
There is no final examination.
Literatur
Zuordnung im Vorlesungsverzeichnis
SP Digital Humanities
DH-S I
DH-S I
Letzte Änderung: Do 11.05.2023 11:27
This course introduces students to common digital tools and techniques used in academic research and in particular the digital humanities. Students will learn approaches to common humanities data problems in the areas of textual data, historic person data, object data/material items, and spatial data. The course will also cover the following key topics: collection and construction of data, data tidying, analytical and research workflows, text analysis, data visualization, mapping, and social network analysis.
During the course students will be introduced to Python, one of the most prominent programming languages in the humanities and data science. The course will explore the use of Python in digital humanities research and projects. Learning Python is supported by DataCamp and students will receive an academic license for DataCamp for the duration of the semester. In addition to the required Python tutorials, students are free to explore the wide catalogue of data analytics and data science courses offered by DataCamp.
Learning Outcomes:
After completing the course students will have gained: intermediate fluency in the Python coding language and its application in digital humanities research, an introductory knowledge of key DH techniques and approaches, an understanding of humanities data, a thorough understanding of how to handle humanities data from the stage of data collection to visualization and analysis.