3D Data and Visualization in Archaeology and Cultural Heritage Studies
Summary
This course will teach students hands-on skills to create 3D models of cultural heritage, for example for digital exhibitions. Such models are a valuable resource democratizing cultural heritage because they provide the chance to be distributed and displayed widely for analysis, display, and documentation. A focus will be the complex issues surrounding the theory of digital archaeology including democratization, para- and metadata, theories of human vision, and authenticity which will be discussed critically and in depth.
About
The course follows a hands-on teaching philosophy acquainting students with 3D modelling software. Furthermore, it will refresh and deepen knowledge about techniques like photogrammetry, laser scanning, and other visualization methods. Focus will be put on models that can readily be integrated into digital exhibits and enable students to create their own 3D models and present them in a meaningful way. This includes a full understanding of the importance of para- and metadata, how to source these data in cooperation with museums and the private sector, and such data and its interpretations can be presented ethically.
Since the course will focus on transferable skills, the teaching will offer long-term sustainability for the participants. As such, the course will enable students to acquire 3D data, formulate appropriate research questions, and answer them using a sound theoretical framework.
Prerequisites and selection
Entry requirements
Admission to the course requires a Bachelor of Arts or the equivalent of 180 higher education credits, of which 90 credits within the disciplines of Archaeology, Classical Archaeology and Ancient History, Cultural Heritage Studies, or History. Option of courses within liberal arts but also social science like Digital humanities will be considered appliably. For Digital humanities the first year of courses (60 credits) is required.
Selection
Selection is based upon the number of credits from previous university studies, maximum 165 credits.
