Study cover for R4Rchaeologists
Short Course Online

R4Rchaeologists

University of Pisa

12 days
Duration
500 EUR/full
500 EUR/full
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The R4Rchaeologists programme from University of Pisa aims for a fruitful combination of archaeology and statistics through the teaching of Data analysis, Data mining, and Data visualization techniques. 

Visit the official programme website for more information

Overview

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. 

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.

Programme 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. 

Key information

Duration

  • Full-time
    • 12 days

Start dates & application deadlines

Language

English

Credits

6 ECTS

Delivered

Online

Academic requirements

We are not aware of any academic 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.

Tuition Fee

To alway see correct tuition fees
  • International

    500 EUR/full
    Tuition Fee
    Based on the tuition of 500 EUR for the full programme during 12 days.
  • EU/EEA

    500 EUR/full
    Tuition Fee
    Based on the tuition of 500 EUR for the full programme during 12 days.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last 3 months

Check the official programme website for potential updates.

Our partners

R4Rchaeologists
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University of Pisa

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