DIGITAL CULTURAL HERITAGE
- Academic year
- 2024/2025 Syllabus of previous years
- Official course title
- DIGITAL CULTURAL HERITAGE
- Course code
- C38-9 (AF:503352 AR:293664)
- Modality
- Blended (on campus and online classes)
- ECTS credits
- 6 out of 12 of PUBLIC AND COMMUNITY ARCHAEOLOGY AND DIGITAL CULTURAL HERITAGE
- Degree level
- Bachelor's Degree Programme
- Educational sector code
- L-ANT/10
- Period
- 2nd Semester
- Course year
- 1
- Where
- VENEZIA
Contribution of the course to the overall degree programme goals
Expected learning outcomes
- Familiarity with the concepts around Digital Archaeology and its impact on the public, Cultural Heritage and politics, and Cultural Heritage's ethics;
- Familiarity with the theoretical background around Digital Archaeology; knowledge about practical issues and implementation of digital products for research and dissemination;
- General knowledge of the leading digital techniques and digital methods applied to archaeological research and archaeological communication;
- General knowledge of the methodological approaches to document digitally archaeological sites and landscapes also through community based and citizen science strategies;
- Ethics in digital archaeology.
2) Ability to apply knowledge and understanding:
- Ability to recognize suitable methodologies of Digital Archaeology for specific cases and planning the research;
- Ability to manage GIS environment and exploit multiple 2D and 3D data.
3) Judgement skills:
- Ability to mediate the recent debates about ownership, responsibility, and definitions of Cultural Heritage.
- Ability to critically investigate and evaluate digital archaeological sources;
- Ability to develop critical thinking skills concerning Digital Archaeology.
Pre-requirements
Contents
1. What is Digital Cultural Heritage? Theory and practice
2. What is Digital Archaeology? Digitizing archaeological data and narrating data digitally
3. Maps, Digital Maps and spatial and geographic thinking: digital data and mindscapes
4. Geographical Information Systems (GIS) and Cultural Heritage: mapping the past for interpreting the present days
5. GIS application in archaeology: the relationship between spaces and cultural objects in the past and the contemporary world
6. Artificial Intelligence (AI) for archaeological research: theory, practice and ethics in the application of automatic analysis of archaeological contexts
7. CRM, Cultural Resource Management and the digital revolution. Managing Heritage through the digital tool
8. Digital Museums e Digital born Heritage: when 'data' is "The Heritage";
9. New frontiers in digital disseminations: hybrid technologies for sharing the past;
10. Digital data and narratives.
11. Learning Cultural Heritage by playing serious games. Videogame and archaeology. Modelling and communication: virtual reality heritages.
Referral texts
- An array of specific paper and book chapters and internet videos that will be available on Moodle
Referral text will be:
- T. L. Evans, P. Daly (eds.), Digital Archaeology, bridging method and theory, 2006
- M. Forte, S. Campana S., Digital Methods and Remote Sensing in Archaeology. Archaeology in the Age of Sensing, 2016
- M. D. McCoy, The site problem: a critical review of the site concept in archaeology in the digital age. In Journal of Field Archaeology, vol. 45, No. S1, pp. S18-S26, 2020
- S. Campana, Drones in Archaeology. State of the Art and Future Perspectives. In Archaeological Prospection 24, pp. 275-296, 2017
- R. S. Opitz, D. C. Cowley (eds.), Interpreting Archaeological Topography. 3D Data, Visualization and Observation, 2013
- E. Watrall, L. Goldstein, Digital Heritage and Archaeology in Practice: Presentation, Teaching, and Engagement, 2022
- F. R Cameroon, The Future of Digital Data, Heritage and Curation: in a More-than-Human World, 2021
- P. Rodríguez-Gonzálvez,, Muñoz-Nieto, Á.L., Pozo, S.D., Sánchez-Aparicio, L.J., Mills, J.P., Fieber, K.D., Haynes, I., Guidi, G., Micoli, L.L., Barsanti, S.G., 4D Reconstruction of Cultural Heritage Sites. In Latest Developments in Reality-Based 3D Surveying and Modelling; Remondino, F., Georgopoulos, A., González-Aguilera, D., Agrafiotis, P. (eds.); pp. 119-140, 2018
- M. Forte, N. Dell’Unto, K. Jonsson, N. Lercari, Interpretation Process at Chatalhöyük using 3D. In Assembling Çatalhöyük; Hodder I., Marciniak a. (eds.), 2015
- P. Verhagen, Spatial Analysis in Archaeology: Moving into New Territories. In: Siart, C., Forbriger, M., Bubenzer, O. (eds.) Digital Geoarchaeology. Natural Science in Archaeology, 2018
- A. Argyrou, Agapiou A. A., Review of Artificial Intelligence and Remote Sensing for Archaeological Research. In Remote Sensing 14, 2022
- L. Deravignone, Macchi Janica G., Artificial Neural Network in archaeology. In Archeologia e Calcolatori, 17, pp. 121-136, 2006
- L. Magnini, Bettineschi C., Theory and Practice for an Object-based Approach in Archaeological Remote Sensing. In Journal of Archaeological Science, 107, pp. 10-22, 2019
- J. Casana, Global-Scale Archaeological Prospection using CORONA Satellite Imagery: Automated, Crowd-Sourced, and Expert-led Approaches. In Journal of Field Archaeology, 45:sup1, S89-S100, 2020
Assessment methods
Criteria:
- completeness and clarity in the presentation of the acquired information;
- aptitude in critical and personal assessment;
- capacity in making the attained knowledge relevant to the personal experience and original contexts/cases.
Assessment will grade the class participation (25%) and the final oral examination (75%), in which students will be evaluated as to the knowledge and the skills they acquired during the course.
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Regarding the grading scale, the following criteria are noted:
A. Scores in the range of 18-22 will be awarded when:
Sufficient knowledge and understanding is demonstrated in relation to the programme.
Limited ability to collect and/or interpret data, formulating independent judgments.
Sufficient communication skills.
B. Scores in the range of 23-26 will be awarded when:
Reasonable knowledge and understanding is demonstrated in relation to the programme.
Reasonable ability to collect and/or interpret data, formulating independent judgments.
Adequate communication skills, particularly concerning the use of the specific language of Cultural Heritage.
C. Scores in the range of 27-30 will be awarded when:
Good or excellent knowledge and understanding is demonstrated in relation to the programme.
Good or excellent ability to collect and/or interpret data, formulating independent judgments.
Fully appropriate communication skills, particularly concerning the use of the specific language of Cultural Heritage.
D. Honours will be awarded when knowledge and understanding related to the programme, judgment capacity, and communication skills are excellent
Teaching methods
Lessons are completed with hybrid (in-person and virtual) site visits using remote devices.