070175 UE Methodological workshop - Prosopography and Social Network Analysis (2020W)
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 We 02.09.2020 09:00 to Mo 21.09.2020 12:00
- Registration is open from Fr 25.09.2020 09:00 to We 30.09.2020 12:00
- Deregistration possible until Sa 31.10.2020 23:59
Details
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
The first session will be conducted online via Collaborate, during which we will discuss with students the options for hybrid teaching and assess the situations and possibilities for different students.
-
Tuesday
06.10.
10:45 - 12:15
Hybride Lehre
Seminarraum 7 Hauptgebäude, Tiefparterre Stiege 9 Hof 5 -
Tuesday
13.10.
10:45 - 12:15
Hybride Lehre
Seminarraum 7 Hauptgebäude, Tiefparterre Stiege 9 Hof 5 -
Tuesday
20.10.
10:45 - 12:15
Hybride Lehre
Seminarraum 7 Hauptgebäude, Tiefparterre Stiege 9 Hof 5 -
Tuesday
27.10.
10:45 - 12:15
Hybride Lehre
Seminarraum 7 Hauptgebäude, Tiefparterre Stiege 9 Hof 5 -
Tuesday
03.11.
10:45 - 12:15
Hybride Lehre
Seminarraum 7 Hauptgebäude, Tiefparterre Stiege 9 Hof 5 -
Tuesday
10.11.
10:45 - 12:15
Hybride Lehre
Seminarraum 7 Hauptgebäude, Tiefparterre Stiege 9 Hof 5 -
Tuesday
17.11.
10:45 - 12:15
Hybride Lehre
Seminarraum 7 Hauptgebäude, Tiefparterre Stiege 9 Hof 5 -
Tuesday
24.11.
10:45 - 12:15
Hybride Lehre
Seminarraum 7 Hauptgebäude, Tiefparterre Stiege 9 Hof 5 -
Tuesday
01.12.
10:45 - 12:15
Hybride Lehre
Seminarraum 7 Hauptgebäude, Tiefparterre Stiege 9 Hof 5 -
Tuesday
15.12.
10:45 - 12:15
Hybride Lehre
Seminarraum 7 Hauptgebäude, Tiefparterre Stiege 9 Hof 5 -
Tuesday
12.01.
10:45 - 12:15
Hybride Lehre
Seminarraum 7 Hauptgebäude, Tiefparterre Stiege 9 Hof 5 -
Tuesday
19.01.
10:45 - 12:15
Hybride Lehre
Seminarraum 7 Hauptgebäude, Tiefparterre Stiege 9 Hof 5 -
Tuesday
26.01.
10:45 - 12:15
Hybride Lehre
Seminarraum 7 Hauptgebäude, Tiefparterre Stiege 9 Hof 5
Information
Aims, contents and method of the course
Assessment and permitted materials
Students in this course will be assessed through continuous assessment. Students will be graded based on their completion of several homework assignments throughout the term (60%), a final project completed after the end of classes (30%), and their level of participation and engagement in class activities (10%).The lecturers reserve the right to mark down assignments that are handed in late without prior notice.
Minimum requirements and assessment criteria
The class will be fully taught in and assessed in English, and the ability to write clearly in English is a requirement. Previous courses in medieval history or digital humanities are not required (though may of course make grounding in some of the material easier).
Examination topics
There is no written examination: the final assessment piece will be discussed with students and produced on a topic of their choice relevant to the themes and methods covered in classes.
Reading list
Association in the course directory
Schwerpunkte: DH, Mittelalter
MA Geschichte (2014): 3 ECTS
MA Geschichte (2019): 5 ECTS
MA DH: DH-S II
MA Geschichte (2014): 3 ECTS
MA Geschichte (2019): 5 ECTS
MA DH: DH-S II
Last modified: Fr 12.05.2023 00:13
In addition to gaining a better understanding of the methodologies of prosopography and social network analysis this course will provide students with a range of approaches to complex historical data. Students will explore the problems of historical sources (e.g. their often fragmentary nature) and the decision making process that underlies the production of data from these sources. The juxtaposition of prosopography and social network analysis is aimed at providing students with a broad theoretical discussion drawn from two inter-related disciplines which are not often considered side by side. This course will provide students with a broader toolbox of digital and theoretical approaches to understanding person and network data, where it comes from, and what to do with it.