Overview
The Neural Networks for Archaeologists, with Python Certificate from University of Pisa Summer School it is built around a new paradigm, which takes into consideration archaeologists as both producers and users of digital archaeological data.
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.
Key facts:
- 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.
Get more details
Visit programme websiteProgramme Structure
- The Summer School will last 60 hours and will take place from June 17th 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).
Audience
- Students, graduates, PhD candidates, and post-docs in archaeology or related to Cultural Heritage.
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 11 days
Start dates & application deadlines
- Starting
- Apply before
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Language
Credits
Delivered
Disciplines
Archaeology Data Science & Big Data Artificial Intelligence View 8 other Short Courses in Archaeology in ItalyExplore more key information
Visit programme websiteAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at University of Pisa Summer School and/or in Italy, please visit Student Insurance Portal.
Other requirements
General 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.
Make sure you meet all requirements
Visit programme websiteTuition Fee
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International
2400 EUR/yearTuition FeeBased on the tuition of 2400 EUR per year during 11 days. -
EU/EEA
FreeTuition FeeBased on the tuition of 0 EUR per year during 11 days.
Living costs for Pisa
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Please write to the coordinator for further details