Learning Outcomes:
On completion of this module, students should be able to:
- Identify and critically engage with key, contemporary debates in digital cultural heritage.
- Demonstrate an understanding of core digital technologies used in heritage work, such as GIS, 3D scanning, and AI.
- Apply a range of digital methods to real-world cultural heritage datasets and collections.
- Evaluate the ethical and environmental dimensions of digital heritage practices.
- Create, curate, and interpret digital heritage outputs using appropriate tools and techniques.
- Work collaboratively to critique, analyse, and present digital approaches to cultural heritage.
Indicative Module Content:
Sessions may include some or all of the following topics:
- Ethics and digital cultural heritage
- digital technologies in museums
- 3D scanning and photogrammetry
- Artificial intelligence (AI) and machine learning
- Geographical Information Systems (GIS)
- Remote sensing
- digital archives
NB - module content and schedule may change according to staff availability