Highlights
Tuition fee
500 EUR / full
500 EUR / full
Unknown
Tuition fee
500 EUR / full
500 EUR / full
Unknown
Duration
12 days
Duration
12 days
Apply date
Unknown
Apply date
Unknown
Start date
Unknown
Start date
Unknown
Campus location
Pisa, Italy
Campus location
Pisa, Italy
Taught in
English
Taught in
English

About

The “R 4 aRchaeologists” Winter School aims for a fruitful combination of archaeology and statistics through the teaching of Data analysis, Data mining, and Data visualisation techniques. It is conducted through R, a programming language and free software environment for statistical computing and graphics. 

Visit programme website for more information

Overview

In the Humanities, the exponential increase in digital documentation requires us to question its management, use, availability to the scientific community, and sustainability. These issues are even more crucial in archaeology 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 an 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 to interacting with ICT experts effectively.

The “ R 4 aRchaeologists ” Winter School aims for a fruitful combination of archaeology and statistics through the teaching of Data analysis, Data mining, and Data visualisation techniques. It is conducted through R, a programming language and free software environment for statistical computing and graphics. The large amount of data that is produced through archaeological work shows 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: linear and nonlinear modelling, statistical tests, spatial statistics, time-series analysis, classification, clustering, and others.

Programme Structure

The Winter School “R 4 aRcheologists” 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 visualisation through an integrated use of R ecosystem software packages, statistical and practical principles.

Bibliography:

  • David R. Carlson, Quantitative methods in archaeology using R, Cambridge University Press (June 26, 2017)
  • Nakoinz O. & Knitter D., Modelling Human Behaviour in Landscapes, Springer (2016)

The Winter School will last 60 hours (13 - 24 January 2025), and it will take place on campus in Pisa, at the Department of Civilisations and Forms of Knowledge, in Via Trieste, 40.

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.

Key information

Duration

  • Full-time
    • 12 days

Start dates & application deadlines

Language

English

Credits

6 ECTS

Delivered

On Campus, Online

Campus Location

  • Pisa, Italy

What students do after studying Computer Science & IT

This information is based on LinkedIn alumni data for graduates from 2018 to 2024 and may not fully represent all career outcomes

Total alumni
Join for free or log in to access our complete career info list.

Academic 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

Admission Requirements:

Specific computer science or technology skills are not required.For an effective learning environment, the number of participants will be limited to 20.Personal laptops are needed for attending the winter school.Some introductory tutorials will be delivered to attendees before the School starts.

IMPORTANT NOTICE:

  • The Winter School will be activated with at least 10 students
  • The maximum number of participants is set 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.

Technological requirements

Personal laptops are needed for attending the winter school.

Student Insurance via Studyportals Partner

Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.

Studyportals partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.

Get your student insurance now

Starting 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 and/or in Italy, please visit Student Insurance Portal.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    500 EUR / full
    500 EUR / full
  • EU/EEA

    EU/EEA Nationals
    500 EUR / full
    500 EUR / full

Living costs

Pisa

Italy
750 - 1100 EUR / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Other interesting programmes for you

Our partners

R 4 aRchaeologists
-
University of Pisa

Wishlist

Go to your profile page to get personalised recommendations!