Universität Wien FIND
Warning! The directory is not yet complete and will be amended until the beginning of the term.

070146 KU Methodenkurs - Tools and Techniques for Digital Humanities (2019S)

3.00 ECTS (2.00 SWS), SPL 7 - Geschichte
Continuous assessment of course work

Registration/Deregistration

Details

max. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Tuesday 05.03. 11:30 - 13:00 Hörsaal 29 Hauptgebäude, 1.Stock, Stiege 7
Tuesday 19.03. 11:30 - 13:00 Hörsaal 29 Hauptgebäude, 1.Stock, Stiege 7
Tuesday 26.03. 11:30 - 13:00 Hörsaal 29 Hauptgebäude, 1.Stock, Stiege 7
Tuesday 02.04. 11:30 - 13:00 Hörsaal 29 Hauptgebäude, 1.Stock, Stiege 7
Tuesday 09.04. 11:30 - 13:00 Hörsaal 29 Hauptgebäude, 1.Stock, Stiege 7
Tuesday 30.04. 11:30 - 13:00 Hörsaal 29 Hauptgebäude, 1.Stock, Stiege 7
Tuesday 07.05. 11:30 - 13:00 Hörsaal 29 Hauptgebäude, 1.Stock, Stiege 7
Tuesday 14.05. 11:30 - 13:00 Hörsaal 29 Hauptgebäude, 1.Stock, Stiege 7
Tuesday 21.05. 11:30 - 13:00 Hörsaal 29 Hauptgebäude, 1.Stock, Stiege 7
Tuesday 28.05. 11:30 - 13:00 Hörsaal 29 Hauptgebäude, 1.Stock, Stiege 7
Tuesday 04.06. 11:30 - 13:00 Hörsaal 29 Hauptgebäude, 1.Stock, Stiege 7
Tuesday 18.06. 11:30 - 13:00 Hörsaal 29 Hauptgebäude, 1.Stock, Stiege 7
Tuesday 25.06. 11:30 - 13:00 Hörsaal 29 Hauptgebäude, 1.Stock, Stiege 7

Information

Aims, contents and method of the course

The course will introduce a variety of software tools, foundational skills, and methods used in the Digital Humanities. You will learn how to do academic writing with citation managers, how to use the command line, how to write scripts in Python, how to use version control and collaborate, how to use regular expressions, how to do web scraping and convert your data into structured formats, how to extract information from texts and map it, how to do topic modeling, social network analysis, and how to build a website. In addition to the Python programming language, you will get [re]acquainted with such tool as MS Word, Zotero, Pandoc, markdown, GitHub, wget, QGIS, and Gephi.

Assessment and permitted materials

Assessment will be based on class participation, timely homework assignments, and a final website project. The homework assignments will include the online tutorials offered by DataCamp (https://www.datacamp.com/) and Codecademy (https://www.codecademy.com/).

Minimum requirements and assessment criteria

No prior experience is required, only your will to learn.

Examination topics

Reading list

Reading materials will be provided via Moodle.

Association in the course directory

Digital Humanities

MA HPS: M 1.2, M 1.3

Last modified: Th 07.03.2019 10:07