
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).
Get more details
Visit programme websiteProgramme 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.
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 5 days
Start dates & application deadlines
- Starting
- Deadline passed
-
Language
Credits
Delivered
Campus Location
- Pisa, Italy
Disciplines
Geology Computer Sciences Machine Learning View 3 other Short Courses in Geology in ItalyExplore more key information
Visit programme websiteWhat 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
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
- 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 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 and/or in Italy, please visit Student Insurance Portal.
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
500 EUR/yearTuition FeeBased on the tuition of 500 EUR per year during 5 days. -
EU/EEA
500 EUR/yearTuition FeeBased on the tuition of 500 EUR per year during 5 days.
Living costs for Pisa
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.