070036 UE Course on Methodology - Machine Learning for Medieval Manuscripts (2024S)
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 12.02.2024 09:00 bis Fr 23.02.2024 14:00
- Anmeldung von Mo 26.02.2024 09:00 bis Mi 28.02.2024 14:00
- Abmeldung bis So 31.03.2024 23:59
Details
max. 25 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
- Mittwoch 22.05. 08:00 - 13:00 Seminarraum Geschichte 3 Hauptgebäude, 2.Stock, Stiege 9
- Freitag 24.05. 09:45 - 13:00 Seminarraum Geschichte 3 Hauptgebäude, 2.Stock, Stiege 9
- Montag 27.05. 09:45 - 14:45 Seminarraum Geschichte 3 Hauptgebäude, 2.Stock, Stiege 9
- Mittwoch 29.05. 09:45 - 13:00 Seminarraum Geschichte 3 Hauptgebäude, 2.Stock, Stiege 9
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
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.
Art der Leistungskontrolle und erlaubte Hilfsmittel
- 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
- Regular preparation for class sessions
- Completion of a final test at the end of the semester
- Attendance to the course
Mindestanforderungen und Beurteilungsmaßstab
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.
Prüfungsstoff
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Literatur
See Moodle
Zuordnung im Vorlesungsverzeichnis
MA Geschichte (V2019): PM1 - Methodenkurs (5 ECTS)
Letzte Änderung: Mi 22.05.2024 17:45