Archaeology deals with the study of the human past, conducted through material remains, i.e. artefacts that were manufactured, used, and discarded in ancient times. One of the most important task is to classify the artefacts, determining chronology, cultural attribution, form, function and other features. Neural networks and deep learning are powerful tools for supporting and facilitating such tasks, often time consuming and heavily depending on prior knowledge and expertise. This Summer School illustrates the use of neural networks for analyzing and classifying multimodal data, such as images, tables, texts. It is conducted, with an hands-on approach, through Python, one of the main programming languages of AI and Data Science, including a wide variety of deep learning tools and network architectures. In order to effectively conduct and support analysis and classification of data coming from tables, images and texts, modern archaeologists should be able to deal with concepts and tools related to new technologies. Such skills are not present in a standard archaeology background, though they are fundamental even to effectively interact with ICT experts.
The Summer School will last 60 hours and will take place from June 18th to June 28th, 2024, at the Department of Civilisations and Forms of Knowledge of the University of Pisa, Italy.
Bibliography: Stevens E., Antoga L., Viehmann T., Deep Learning with Pytorch, Manning (2020).
The program will be activated also in distance learning mode (TEAMS platform).
Aim
The Summer School will enable participants to explore and visualize data with Python, set up and train neural networks from scratch and/or by modifying pre-trained networks (transfer learning), in order to perform classification tasks based on images and/or texts. It is built around a new paradigm, which takes into consideration archaeologists as both producers and users of digital archaeological data.
Who can apply
Students, graduates, PhD candidates, and post-docs in archaeology or related to Cultural Heritage.
Language
English
Program Intensity
Full-time
Application
Admission Requirements
Being students, graduates, PhD candidates, and post-docs in archaeology or related to Cultural Heritage.
Specific computer science or technology skills are not required. Personal laptops are needed for attending the summer school. Some introductory tutorials will be delivered to attendees before the School starts.
IMPORTANT NOTICE: For an effective learning environment, the number of participants will be limited to 20 students.
Required Documents
- Identity Document (*PASSPORT in case you are a foreign student*)
- Enrolment Form
- Curriculum Vitae
All the documents must be in pdf format, in order to upload them on the portal when required.
Application has to be submitted via Alice portal following the instructions of the "How to apply" page.
ECTS
6
Fees
500 euro
Pay fees by Debit/Credit Card or PayPal online using the following form filling it with all the required data:
NOTICE:
- International students without Italian Tax Code: please tick the box 'Anonymous' in order to disable the field 'Italian personal ID/VAT number'.
- Please type your NAME and SURNAME next to the pre-filled text of the field 'Reason'
- Please pay only after receiving the admission letter
Fundings
Please write to the coordinator for further details
Period
18 - 28 June 2024
Application Deadline
17 May 2024
Contacts
Coordinator
Prof. Gabriele Gattiglia Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo.
Dr. Nevio Dubbini Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo.
Website http://www.mappalab.eu/
Summer/Winter School Office Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo.