Digital instruments of research I 2900-HAMC-DIGIT1
The first block will be dedicated to general workflows with digital instruments. Course objectives will be to introduce participants to key methodologies and methods used in digital research across different disciplines. Familiarize students with data management techniques and basic digital tools relevant to research. Explore digital methods for documenting, analyzing,interpreting, and sharing research results. Provide hands-on experience with digital tools in the context of real research problems.
Course Format:
The course will combine theoretical introductions with practical exercises. The theoretical part will cover essential research methodologies and discuss concepts related to digital research. The practical component will involve the application of digital tools using real datasets, demonstrating how digital approaches can be integrated into research and hypothesis verification.
Topics Covered:
Data Management for Research: Approaches for managing digital data during research projects, focusing on data organization, storage, and reuse.
Digital Cultural Heritage Management: Techniques for managing data related to cultural heritage, with a focus on Geographic Information Systems (GIS) and photogrammetry for documenting research findings.
Digital Landscape Analysis: Introduction to landscape analysis through the use of satellite imagery, visibility analysis, and least cost path analysis, applying these concepts to both archaeological and broader research contexts.
Agent-Based Modeling: Introduction to agent-based modeling as a tool for simulating complex systems and testing hypotheses.
The second block focuses on the analysis of large datasets. Participants will be introduced to a variety of open data databases and publicly available datasets, followed by methods for exploring and analyzing these datasets. This will include, but is not limited to, visualization and machine learning techniques. During the course, students will become familiar with JASP, an open-source program for data analysis, as well as other online tools.
The theoretical introduction will be followed by practical exercises, where students will apply their newly acquired skills to real archaeological data. The theoretical part will cover an introduction to open databases, JASP, and machine learning techniques. The exercises will demonstrate the potential of leveraging large-scale datasets to enhance our understanding of past societies and people.
Topics Covered:
- Data: Open datasets; handling, cleaning, and exploring data using JASP.
- Modeling Radiocarbon Dates: Obtaining, modeling, and interpreting large-scale radiocarbon datasets.
- Data Mining: Machine learning techniques as tools for exploring large datasets.
- Data Analysis: Applying machine learning techniques to answer questions about the past.
The last block of classes will begin with a discussion of methods of documenting monuments using digital tools, including photogrammetry, contact digitizing arm (FaroArm) and 3d scanning technology (laser and structured light). Participants will learn about the advantages and disadvantages of each solution, as well as how they can be used effectively in various conditions. After the theoretical introduction, the participants will move on to the practical part, where they will learn the principles of working in the Rhino3D software and the possibilities of its application in the creation of archaeological documentation of digital models of archaeological finds. Under the supervision of the instructor, they will have the opportunity to independently carry out the process of three-dimensional documentation of a selected find, and on its basis, prepare illustrations and prints in accordance with the requirements of standard paper archaeological documentation.
Rodzaj przedmiotu
Koordynatorzy przedmiotu
Efekty kształcenia
The student has in-depth knowledge of the existing paradigms - world achievements, including theoretical foundations and general and selected specific issues of digital archaeology (P8S_WG.1). The student knows and understands the main developmental trends of digital archaeology (P8S_WG.2) and knows the methodology of scientific research (P8S_WG.3). Student understands the fundamental dilemmas of modern civilization in the aspect of application of digital archaeology (P8S_WK.1)
Student is able to use knowledge from different fields of science to creatively identify, formulate and innovatively solve complex problems or carrying out tasks of research character. In particular, he/she is able to independently define the aim and subject of scientific research, formulate a research hypothesis, develop research methods, techniques and tools and apply them creatively, as well as make conclusions on the basis of research results (P8S_UW.1). Can communicate on topics related to digital archaeology to a degree that enables active participation in the international scientific community (P8S_UK.1). Can participate in scientific discourse (P8S_UK.4).
The student is ready to recognize the importance of knowledge in solving cognitive and practical problems (P8S_KK.3), and is also ready to sustain and develop the ethos of research and creative circles, including, conducting scientific activity in an independent manner, and respecting the principle of public ownership of the results of scientific activity, taking into account the principles of protection of intellectual property (P8S_KR.1)
Kryteria oceniania
Using the tools and theory of digital tools learned during the course, participants will be required to prepare a final assessment presentation based on data available in scientific journals.
The final assessment will consist of making and recording the presentation, making up for missed exercises, and preparing a short review of an article related to digital archaeology.
Two excused absences are allowed. Subsequent absences can be credited by doing exercises related to the topic of the class on which the student was absent.
Literatura
Banaszek Ł., 2015: Airborne Laser Scanning and visibility analyses. Some remarks on the use of ALS in archaeological interpretation, [in:] A.G. Posluschny (ed.), Sensing the Past. Contributions from the ArcLand Conference on Remote Sensing for Archaeology. Bonn: 40-46
Brughmans T., 2013: Thinking through networks: a review of formal network methods in archaeology, Journal of Archaeological Method and Theory, 20 (4): 623-662
Buławka N., Chyla J., 2020: Mobile GIS: Current Possibilities, Future Needs, [in:] Digital Archaeologies, Material Worlds (Past and Present). Proceedings of the 45rd Annual Conference on Computer Applications and Quantitative Methods in Archaeology, J.B. Glover, J. Moss, D. Rissolo (eds.), Tübingen: 99-113
Chapman H., Landscape Archaeology and GIS, Tempus Publishing Ltd, 2006
Chyla J.M., 2018: How can remote sensing help in detecting the threats to archaeological sites in upper Egypt? Geoscineces 7(4): 97
Daly P., Evans T. L. (eds.), Digital Archaeology: Bridging Method and Theory, Routledge, 2006
David B., Thomas J. (eds.), Handbook of Landscape Archaeology, Left Coast Press Inc, 2010
Drennan R.D., Statistics for Archaeologists. A Common Sense Approach, Springer, 2009.
Gillings M., Hacıgüzeller P., Lock G. (eds.), Archaeological Spatial Analysis: A Methodological Guide, Routledge, 2020.
Goss-Sampson M.A., Statistical analysis in JASP. Guide for students, 2020.
Niedziółka K., 2018: Próba oceny przydatności danych AZP do badań osadniczych. Przykład Pomorza Wschodniego na przełomie epok Brązu i Żelaza, Śląskie Sprawozdania Archeologiczne, t. 60/1: 113-138
Nowakowski J., Prinke A., Rączkowski W. (eds.), Biskupin… i co dalej? Poznań, 2005
Rączkowski W., Archeologia lotnicza – metoda wobec teorii, Poznań, 2002
Romanowska I., Wren C.D., Crabtree S.A., Agent-Base Modelling for Archaeology: Simulating the Complexity of Societies, Santa Fe, 2021
Wiseman J., El-Baz F. (eds.) Remote sensing in Archaeology, New York, 2007
Wroniecki P., 2020: Biskupin… i co z tego? Studia Lednickie t. XIX (2020): 59-80
Tilley C., Phenomenology of landscape: Places, Paths and Monuments, Oxford, 1997.
Thulin, M. Modern Statistics with R. Second edition. CRC Press, 2024. (available onlie: https://modernstatisticswithr.com)
Verhagen P., Nuninger L., Groenhuijzen M.R., 2019: Modelling of Pathways and Movement Networks in Archaeology: An Overview of Current Approaches, [in:] P. Verhagen, P., J. Joyce, , M. Groenhuijzen (eds.) Finding the Limits of the Limes. Computational Social Sciences, Cham: 217-249
Auer J. et al, 2020: The 3D annotated scans method: a new approach to ship timber recording, Heritage Science 8:75
Yamafune K., 2016: Using Computer Vision Photogrammetry (Agisoft Photoscan) to Record and Analyze Underwater Shipwreck Sites, unpublished PhD disseration at the Texas A&M University, College Station
Litwinienko P., Różycki J., 2022: Cyfrowa dokumentacja zabytków szkutniczych z wraków P2 i P3 – przygotowanie do wirtualnej rekonstrukcji, [in:] R. Domżał, et al. (ed.) Opus Opificem Probat. Księga pamiątkowa dedykowana Jerzemu Litwinowi, Gdańsk, s. 405–412
Uwagi
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W cyklu 2024Z:
• Knowledge of English at B2 level |
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