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090113 VO Humanities and Natural Sciences (2017S)

Einführung in die Methoden der Computer vision and material analysis

5.00 ECTS (2.00 SWS), SPL 9 - Altertumswissenschaften

Moodle

Details

Language: German

Examination dates

Lecturers

Claudia Rapp

Classes

1 Termin: 24. März, 9.00-10.30, 11.00-12.30, 13.30-15.00, 15.30-17.00
Universität Wien, Institut für Byzantinistik und Neogräzistik, Hörsaal, Prof. Dr. Claudia Rapp

2 Termin: 30 März, 9.00-10.30, 11.00-12.30, 13.30-15.00, 15.30-17.00
Technische Universität, Seminarraum 183-2, Prof. Dr. Robert Sablatnig

3 Termin:26 April, 9.00-10.30, 11.00-12.30, 13.30-15.00, 15.30-17.00, Akademie der Bildenden Künste, EA 1, Prof. Dr. Manfred Schreiner

4 Termin: 18 Mai, 9.00-10.30, 11.00-12.30, 13.30-15.00, 15.30-17.00
Technische Universität, Seminarraum 183-2 (Prof. Dr. Robert Sablatnig), und Akademie der Bildenden Künste, EA 1 (Prof. Dr. Manfred Schreiner)

Information

Aims, contents and method of the course

Introduction to the connection between humanities and sciences with regard to cultural heritage. History of scholarship. Methods of data capture and documentation. Visual documentation of historical objects. Material analysis of cultural heritage. Practical applications. The course includes colleagues from the Vienna University of Technology and the Academy of Fine Arts.

Conveying a deeper understanding of the possibilities and limitations of computer-generated methods for the documentation of cultural heritage objects, especially written documents.

Presentation of the course content with opportunity for discussion, research-related instruction, work with historical objects, practical exercises.

Assessment and permitted materials

Written examination (100%). No additional materials may be consulted during the examination.

Minimum requirements and assessment criteria

Basic familiarity with the material covered in the course

Examination topics

Course content and recommended readings

Reading list

Additional readings will be announced in the course of the semester.

Association in the course directory

Last modified: Mo 07.09.2020 15:31