Universität Wien

070036 UE Course on Methodology - Machine Learning for Medieval Manuscripts (2024S)

5.00 ECTS (2.00 SWS), SPL 7 - Geschichte
Continuous assessment of course work
We 22.05. 08:00-13:00 Seminarraum Geschichte 3 Hauptgebäude, 2.Stock, Stiege 9

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).

Details

max. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Friday 24.05. 09:45 - 13:00 Seminarraum Geschichte 3 Hauptgebäude, 2.Stock, Stiege 9
Monday 27.05. 09:45 - 14:45 Seminarraum Geschichte 3 Hauptgebäude, 2.Stock, Stiege 9
Wednesday 29.05. 09:45 - 13:00 Seminarraum Geschichte 3 Hauptgebäude, 2.Stock, Stiege 9

Information

Aims, contents and method of the course

This course is designed to provide students with comprehensive knowledge and skills in the study and analysis of Western medieval manuscripts through the application of machine learning methods for handwritten text recognition and their implementation in palaeographical and editorial contexts.

Upon successful completion of this course, students will be able to identify a range of medieval scripts; transcribe manuscripts according to appropriate editorial conventions; recognise and expand abbreviations found in medieval texts; apply machine learning algorithms for artificial palaeography; and gain proficiency in the use of software for automatic transcription of handwritten documents.

Assessment and permitted materials

- Active participation in class discussion
- Regular preparation for class sessions
- Completion of a final test at the end of the semester
- Attendance to the course

Minimum requirements and assessment criteria

Active participation in class discussion (10%), class preparation (30%), and a final test (60%). Each performance is assessed independently. The minimum requirement for positive evaluation is a grade of 51% in each of the assessment categories.

Attendance is compulsory. Due to the block structure of the course, only three hours' worth of absences are permitted. Exceeding three hours of absence will result in the course failure unless substantiated by compelling reasons. Missing the first class will result in automatic deregistration from the course.

Knowledge of Latin or other medieval languages is beneficial but not mandatory.

Examination topics

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Reading list

See Moodle

Association in the course directory

MA Geschichte (V2019): PM1 - Methodenkurs (5 ECTS)

Last modified: Th 22.02.2024 10:25