070212 UE Methodological course - Introduction to DH Tools and Methods (Skills I) (2023S)
Continuous assessment of course work
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Mo 06.02.2023 09:00 to We 22.02.2023 14:00
- Registration is open from Fr 24.02.2023 09:00 to Tu 28.02.2023 14:00
- Deregistration possible until Fr 31.03.2023 23:59
Details
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Monday 06.03. 09:00 - 12:15 Seminarraum Geschichte 3 Hauptgebäude, 2.Stock, Stiege 9
- Monday 20.03. 09:00 - 12:15 Seminarraum Geschichte 3 Hauptgebäude, 2.Stock, Stiege 9
- Monday 17.04. 09:00 - 12:15 Seminarraum Geschichte 3 Hauptgebäude, 2.Stock, Stiege 9
- Monday 15.05. 09:00 - 12:15 Seminarraum Geschichte 3 Hauptgebäude, 2.Stock, Stiege 9
- Monday 12.06. 09:00 - 12:15 Seminarraum Geschichte 3 Hauptgebäude, 2.Stock, Stiege 9
- Monday 26.06. 09:00 - 12:15 Seminarraum Geschichte 3 Hauptgebäude, 2.Stock, Stiege 9
Information
Aims, contents and method of the course
The correct handling of data is at the heart of the Digital Humanities. Practical skills – from data cleaning to data analysis and visualization – are the prerequisite for independent work in the field as well as the basis for an informed dialogue with professional data scientists and software developers. The course will introduce students to the basics of the Python programming language and its most important libraries, thereby leading them towards their use for their own projects. – No previous programming skills are required. Courses will be held in a hybrid mode, and all students are asked to bring their own laptops (no tablets).This class is supported by Datacamp (https://www.datacamp.com/) for Python programming and introductory data management exercises.
Assessment and permitted materials
The final mark will be a combination of in-class participation (20%), homework assignments (40%), and the final project (40%).
Minimum requirements and assessment criteria
Attendance is required, and regular participation is the key to completing the course. Assignments and the final project must be submitted on time.
Examination topics
There is no examination for the course.
Reading list
Readings and resources will be made available during the course. For orientation, please consult the Python-related lessons at: https://programminghistorian.org/en/lessons/
Association in the course directory
SP Digital Humanities
MA Geschichte (V2019): PM1 - Methodenkurs (5 ECTS)
MA DH: DH-S I
MA Geschichte (V2019): PM1 - Methodenkurs (5 ECTS)
MA DH: DH-S I
Last modified: Tu 28.02.2023 08:28