Highlights
Tuition fee
500 EUR / year
500 EUR / year
Unknown
Tuition fee
500 EUR / year
500 EUR / year
Unknown
Duration
5 days
Duration
5 days
Apply date
Unknown
Unknown
Apply date
Unknown
Unknown
Start date
Unknown
Unknown
Start date
Unknown
Unknown
Campus location
Pisa, Italy
Campus location
Pisa, Italy

About

This is an introductory-level course of Machine Learning. The aim of this course is to provide an overview of the main machine learning methods and their application to geophysical, geochemical, geological and environmental data.

Visit programme website for more information

Overview

A large number of applications that only a few years ago would have been considered impossible to be performed without any sort of human interaction are now autonomously executed by increasingly more powerful machines and sophisticated algorithms. Fed by an enormous quantity of available data, machine learning algorithms can learn, without being explicitly programmed, to solve complex tasks such as speech, face, and object recognition or to play and even defeat the best human players at the ancient game of Go.

Machine-learning is becoming an essential skill in many data-intensive scientific fields, including Geosciences. Datasets in Geosciences applications are growing in size and variety at an exceptionally fast rate, highlighting the need for new data processing and assimilation techniques that are able to exploit the information deriving from this data explosion. In this framework, Machine-learning techniques have the potential to push forward the state of the art of data processing techniques in geosciences.

This is an introductory-level course of Machine Learning. The aim of this course is to provide an overview of the main machine learning methods and their application to geophysical, geochemical, geological and environmental data.

The Summer School will be held on campus, in Pisa, at Dipartimento di Scienze della Terra, via Santa Maria, 53.

The program will be activated also in distance learning mode (TEAMS platform).

Programme Structure

This course introduces students to the exciting world of machine learning (ML) with a specific focus on geosciences. By the end of this course, students will understand basic ML concepts and apply them to geoscience problems such as seismological data analysis, geochemical data analysis, climate modeling, and satellite images classification.

Audience

Graduate Students, Early-Stage Researchers, Professionals.

Key information

Duration

  • Full-time
    • 5 days

Start dates & application deadlines

More details
IMPORTANT NOTICE: Applications may be closed ahead of the scheduled application deadline in case of early reaching of the maximum number of eligible students 

Language

English

Credits

3 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
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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

Being Graduate Students, Early-Stage Researchers, Professionals.

Basic knowledge of calculus, linear algebra and statistics.

Basic knowledge of Python Programming.

IMPORTANT NOTICE:

  • The Summer School will be activated with at least 10 students
  • The maximum number of participants is set to 30 students
  • Eligible participants will be admitted following a first come first served rule with subsequent payment of the tuition fees.
  • Applications may be closed ahead of the scheduled application deadline in case of early reaching of the maximum number of eligible 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.

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 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 Fee

To always see correct tuition fees
  • International

    500 EUR/year
    Tuition Fee
    Based on the tuition of 500 EUR per year during 5 days.
  • EU/EEA

    500 EUR/year
    Tuition Fee
    Based on the tuition of 500 EUR per year during 5 days.

Living costs for Pisa

750 - 1100 EUR /month
Living costs

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

Funding

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