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Overview
The purposes of this course are multiple, and some are listed below.The course:
- teaches how to write scripts to perform even complex data analyses without the need to manually repeat the steps;
- provides a tool to organize, filter, and process large amounts of data quickly and efficiently;
- allows the creation of customized visualizations using Python libraries such as Matplotlib to effectively represent data relevant to Earth Sciences;
- offers a flexible, accessible, and widely supported tool that enables PhD students and professionals to solve specific problems with the help of the community.
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Visit programme websiteProgramme Structure
Course Content:
- Overview of the Python environment: basic commands, syntactic rules, matrix and vector operations, scripts and functions;
- Scientific computing and visualization, the modules: Numpy, Scipy, and Matplotlib;
- Representation of simple mathematical functions and their contextualization in Earth Sciences;
- Loops and flow control constructs: for and while loops, and if...elif...else conditional statements;
- Input-Output: reading and writing data in specific file formats within the Python environment (txt, npy, and npz files);
- Interpolation;
- 2D and 3D data visualization;
- Examples of computing histograms and basic probability distributions;
- Least squares regression and their applications on real data;
- Examples of using moving average filters and applying the discrete Fourier transform for data filtering
- Time series: monthly, annual averages, etc...
Each topic in the program is accompanied by examples and exercises.
The Summer School will be held on campus, in Pisa, at Dipartimento di Scienze della Terra, via Santa Maria, 53.
Audience
PhD students, researchers, professionals, with reference to disciplinary and/or professional areas relevant to Earth Sciences.
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 5 days
Start dates & application deadlines
- Starting
- Apply before
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Language
English
Credits
3 ECTS
Delivered
On Campus
Campus Location
- Pisa, Italy
Disciplines
Geology Computer Sciences View 4 other Short Courses in Geology in ItalyExplore more key information
Visit programme websiteWhat students do after studying Computer Science & IT
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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
Basic knowledge of Mathematics, Physics and Informatics.
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 via Studyportals Partner
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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.
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Visit programme websiteTuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents500 EUR / full≈ 500 EUR / full -
EU/EEA Applies to you
Applies to youEU/EEA Nationals500 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
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