Project Jupyter@edu tests and implements innovative practices in the field of higher education. Moreover it supports synergies with research and innovation activities and promotes new technologies as drivers of improvements in education. Today's cloud technology allows comfortable work in almost any discipline with just a web browser. Open scientific software is not an exception. There are solutions providing way of doing numerical computations, scientific visualisation, computer algebra and data processing from within a modern browser. There is only one problem to solve - one has to run the cloud service.

The MAIN OBJECTIVE of the project is to deploy of cloud based services for numerical and mathematical scientific explorations in the period of 10.2017-11.2019, equip it with modern tools like grading system and mutually motivate and engage to use it.

The specific objectives:

• Strenghtening the cooperation between partner institutions , increasing their internationalization through the exchange of good practice and to jointly develop universal teaching materials.
• Promotion of the idea of open education and open software
• Enhancing the quality and relevance of students' knowledge.

International consortium will work on the following intelectual outputs:

O1 - Jupyter notebook server - the deployment in Centre for Applied Sciences

O2 - Deployment of Python based teaching materials for courses in science education

O3 - Use of unit tests in Jupyter notebooks for teaching in computer science and computational science.

The project will result in enhancing the quality and relevance of students' knowledge and skills and improving the quality of education. The main expected outcome of this project will be the deployment a scalable cloud platform serving jupyter notebooks.

Jupyter Notebook is an open, free, cloud-based application that supports research and education by providing space for scientific computing. It supports more than forty languages of software, allows you to create documents containing both code and content, equations or visualizations of the results obtained. Users have the option of data input and analysis, numerical calculations or statistical modeling. Detailed information about the application is available at www.jupyter.org.

The inititator of the Jupyter @ edu project is dr hab. Marcin Kostur, head of the Department of Computational Methods of Physics and Electronics of the Faculty of Mathematics, Physics and Chemistry and coordinator of applied informatics at the University of Silesia.