Overview
The R 4 aRchaeologists Certificate from University of Pisa key facts:
In Humanities, the exponential increase in digital documentation requires us to question its management, its use, its availability to the scientific community and its sustainability. In archaeology, these issues are even more crucial because they relate to non-reproducible primary data. In order to effectively retrieve, store, manage, prepare for analysis, and communicate the information and the scientific range of such amount of data, modern archaeologists should be able to deal with concepts and tools related to new technologies.
Such digital competencies are not present in a standard archaeology background, though they are fundamental in order to effectively interact with ICT experts.
It is conducted through R, programming language and free software environment for statistical computing and graphics R. The large amount of data that are produced through archaeological work show a wide degree of heterogeneity, complexity, and interconnection, making the use of algorithmic methods unavoidable. R is one of the main programming languages of Data Science, and includes a wide variety of statistical and graphical techniques, including linear and nonlinear modelling, statistical tests, spatial statistics, time-series analysis, classification, clustering, and others.
Programme Aim:
The R4Rchaeologists programme from University of Pisa will enable participants to conduct statistical analysis and visualization of Archaeological data. It is built around a new paradigm, which takes into consideration archaeologists as both producers and users of digital archaeological data. Attendees will learn the concepts and methods of univariate and multivariate analysis, spatial analysis and data visualization through an integrated use of R ecosystem software packages, statistical and practical principles.
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Visit programme websiteProgramme Structure
Courses include:
- It is conducted through R, programming language and free software environment for statistical computing and graphics R.
- The large amount of data that are produced through archaeological work show a wide degree of heterogeneity, complexity, and interconnection, making the use of algorithmic methods unavoidable.
- R is one of the main programming languages of Data Science, and includes a wide variety of statistical and graphical techniques, including linear and nonlinear modelling, statistical tests, spatial statistics, time-series analysis, classification, clustering, and others.
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 12 days
Start dates & application deadlines
- Starting
- Apply before
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Language
Credits
Delivered
Disciplines
Archaeology Data Science & Big Data View 5 other Short Courses in Data Science & Big Data 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.
Other requirements
General requirements
- Specific computer science or technology skills are not required.
- For an effective learning environment, the number of participants will be limited to 20.
- Identity Document (*PASSPORT in case you are a foreign student*)
- Enrolment Form
- Curriculum Vitae
Technological requirements
- Personal laptops are needed for attending the winter school.
Make sure you meet all requirements
Visit programme websiteTuition Fee
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International
500 EUR/fullTuition FeeBased on the tuition of 500 EUR for the full programme during 12 days. -
EU/EEA
500 EUR/fullTuition FeeBased on the tuition of 500 EUR for the full programme during 12 days.
Living costs for Pisa
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.