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Day 5 - Friday 27 September 2019

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PROGRAMME VENUE ACCOMMODATION APPLICATION & EVALUATION CRITERIA

 

SUMMER SCHOOL PROGRAMME
  FRIDAY 27 SEPTEMBER 2019
09:00 - 11:00 Real Use Case (Part I)
Chair: Sandro Fiore & Donatello Elia, CMCC

Agenda
- Introduction on Big data analytics for eScience
- Server-side and data cube approaches
- Data Science environment
- ECAS complete overview and link with EOSC landscape and EUDAT services (B2DROP)
- Practical examples and usage scenarios (PyOphidia basics, ECAS Terminal and JupyterLab Notebooks).

What you will learn
- Introductory concepts regarding big data analytics for eScience, with a specific focus on the climate change domain
- ECASLab Data Science environment
11:00 - 11:30 Coffee & Networking
11:30 - 13:00 Real Use Case (Part II)
Chair: Sandro Fiore & Donatello Elia, CMCC

Agenda
Hands-on on different climate change use cases (e.g. climate indicators, statistical analysis, etc.). Some notebooks will be provided to the students, other ones will be developed from scratch.

What you will learn
Implementing real use cases related to scientific data analysis via Jupyter Notebook, putting into practice the notions learned at the school.
13:00 - 14:00 Lunch Break
14:00 - 16:00 Final Remarks on the Summer School & feedback collection
Chair: Shaun de Witt, UKAEA & Leon Kos, PRACE

Agenda
- Feedback collection
- Remarks from the Summer School
- Q&As
- One-to-one exchange with trainers