Name: ESCAPE SUMMER SCHOOL
Start: 2021-06-07T08:30:00+02:00
End: 2021-06-18T14:00:00+02:00
Location: LAPP

ESCAPE SUMMER SCHOOL

from Monday, June 7, 2021 (8:30 AM) to Friday, June 18, 2021 (2:00 PM)

Monday, June 7, 2021
9:00 AM Welcome address - Thomas Vuillaume (LAPP, CNRS)
Welcome address
- Thomas Vuillaume (LAPP, CNRS)
9:00 AM - 9:10 AM
https://www.youtube.com/channel/UC05braEQdP2rCSUamHm9I_Q/live
9:10 AM ESCAPE - Giovanni LAMANNA (LAPP - IN2P3/CNRS)
ESCAPE
- Giovanni LAMANNA (LAPP - IN2P3/CNRS)
9:10 AM - 9:30 AM
https://www.youtube.com/channel/UC05braEQdP2rCSUamHm9I_Q/live
9:30 AM School organisation - Thomas Vuillaume (LAPP, CNRS)
School organisation
- Thomas Vuillaume (LAPP, CNRS)
9:30 AM - 10:30 AM
https://www.youtube.com/channel/UC05braEQdP2rCSUamHm9I_Q/live
10:30 AM Coffee break
Coffee break
10:30 AM - 11:00 AM
11:00 AM Reproducible science
Reproducible science
11:00 AM - 12:30 PM
Contributions

11:00 AM Reproducible science - Rachael Ainsworth
12:30 PM Lunch break
Lunch break
12:30 PM - 2:00 PM
2:00 PM Environment setup
Environment setup
2:00 PM - 2:30 PM
Contributions

2:00 PM Environment setup - Enrique Garcia Garcia
2:30 PM Python and Notebooks
Python and Notebooks
2:30 PM - 4:00 PM
Contributions

2:30 PM Python and Notebooks - Enrique Garcia Garcia
Tuesday, June 8, 2021

9:00 AM Git
Git
9:00 AM - 10:30 AM

10:30 AM Coffee break
Coffee break
10:30 AM - 11:00 AM

11:00 AM Git
Git
11:00 AM - 12:30 PM

12:30 PM Lunch break
Lunch break
12:30 PM - 2:00 PM
Wednesday, June 9, 2021
9:00 AM Python introduction, useful packages and libraries for data scientists
Python introduction, useful packages and libraries for data scientists
9:00 AM - 10:30 AM
Contributions

9:00 AM Library overview - Tamas Gal
10:30 AM Coffee break
Coffee break
10:30 AM - 11:00 AM
11:00 AM Numpy
Numpy
11:00 AM - 12:30 PM
Contributions

11:00 AM Numpy
12:30 PM Lunch break
Lunch break
12:30 PM - 2:00 PM
2:00 PM Pandas
Pandas
2:00 PM - 3:30 PM
Contributions

2:00 PM Pandas - Tamas Gal
3:30 PM Matplotlib
Matplotlib
3:30 PM - 4:30 PM
Contributions

3:30 PM Matplotlib - Tamas Gal
Thursday, June 10, 2021
9:00 AM Reproducible science in practice
Reproducible science in practice
9:00 AM - 10:30 AM
Contributions

9:00 AM Reproducible science in practice - Arturo Sanchez Pineda (LAPP)
10:30 AM Coffee break
Coffee break
10:30 AM - 11:00 AM
11:00 AM Reproducible science in practice
Reproducible science in practice
11:00 AM - 12:30 PM
Contributions

11:00 AM Reproducible science in practice - Arturo Sanchez Pineda (LAPP)
12:30 PM Lunch break
Lunch break
12:30 PM - 2:00 PM
2:00 PM Test driven devs - unit tests and continuous integration
Test driven devs - unit tests and continuous integration
2:00 PM - 3:30 PM
Contributions

2:00 PM Test driven developments and continuous integration - Maximilian Nöthe
3:30 PM Coffee break
Coffee break
3:30 PM - 4:00 PM
4:00 PM Packaging
Packaging
4:00 PM - 5:00 PM
Contributions

4:00 PM Packaging - Maximilian Nöthe
Friday, June 11, 2021

9:00 AM Scipy
Scipy
9:00 AM - 10:30 AM

10:30 AM Coffee break
Coffee break
10:30 AM - 11:00 AM

11:00 AM Astropy
Astropy
11:00 AM - 12:30 PM

12:30 PM Lunch break
Lunch break
12:30 PM - 2:00 PM
2:00 PM Webinar: AI in Cosmological Experiments - Ofer Lahav (University College London)
Webinar: AI in Cosmological Experiments
- Ofer Lahav (University College London)
2:00 PM - 3:00 PM
Abstract: Detailed observations of the present contents of the Universe are consistent with the Lambda + Cold Dark Matter model, subject to some ‘tensions'. To probe these components further the Dark Energy Survey and larger galaxy surveys require new statistical approaches. In particular the role of Artificial Intelligence, or preferably Augmented Intelligence, is crucial for analysing forthcoming surveys (e.g. Rubin-LSST and Euclid) of billions of galaxies. This also requires new ways to train the next generation of scientists for the challenges ahead. Prof. Ofer Lahav is Perren Chair of Astronomy in the Astrophysics Group at University College London (UCL) and Vice-Dean (International) of the UCL Faculty of Mathematical and Physical Sciences (MAPS). He is also Co-Director of the STFC-funded Centre for Doctoral Training in Data Intensive Science at UCL. Ofer's research area is Observational Cosmology, in particular probing Dark Matter and Dark Energy. His work involves Machine Learning for Big Data. https://www.ucl.ac.uk/astrophysics/professor-ofer-lahav
3:00 PM Discussion with teachers
Discussion with teachers
3:00 PM - 4:00 PM
Saturday, June 12, 2021
Sunday, June 13, 2021

Monday, June 14, 2021
9:00 AM Debugging and profiling
Debugging and profiling
9:00 AM - 10:30 AM
Contributions

9:00 AM Debugging and profiling - Karl KOSACK (CEA Saclay)
10:30 AM Coffee break
Coffee break
10:30 AM - 11:00 AM
11:00 AM Optimisation and parallelism in Python
Optimisation and parallelism in Python
11:00 AM - 12:30 PM
Contributions

11:00 AM Optimisation and parallelism in Python - Karl KOSACK (CEA Saclay)
12:30 PM Lunch break
Lunch break
12:30 PM - 2:00 PM

2:00 PM Gammapy
Gammapy
2:00 PM - 3:00 PM

3:00 PM Coffee break
Coffee break
3:00 PM - 3:30 PM
3:30 PM Scikit-HEP
Scikit-HEP
3:30 PM - 5:30 PM
Contributions

3:30 PM Community specific analysis: Scikit-HEP
Tuesday, June 15, 2021

10:00 AM

10:00 AM - 4:00 PM
Wednesday, June 16, 2021

9:00 AM Spark
Spark
9:00 AM - 10:30 AM

10:30 AM Coffee break
Coffee break
10:30 AM - 11:00 AM

11:00 AM Spark
Spark
11:00 AM - 12:30 PM

12:30 PM Lunch break
Lunch break
12:30 PM - 2:00 PM
2:00 PM Introduction to Julia
Introduction to Julia
2:00 PM - 3:00 PM
Contributions

2:00 PM Introduction to Julia - Tamas Gal
3:00 PM Analysis Workflow from the KM3NeT Open Data Center
Analysis Workflow from the KM3NeT Open Data Center
3:00 PM - 4:00 PM
Room: Auditorium

4:00 PM An introduction to gravitational wave data analysis
An introduction to gravitational wave data analysis
4:00 PM - 5:00 PM
Thursday, June 17, 2021
9:00 AM Introduction to machine learning
Introduction to machine learning
9:00 AM - 10:30 AM
Contributions

9:00 AM Machine Learning - Claudia Beleites Martino Sorbaro
10:30 AM Coffee break
Coffee break
10:30 AM - 11:00 AM
11:00 AM Introduction to machine learning
Introduction to machine learning
11:00 AM - 12:30 PM
Contributions

11:00 AM Machine Learning - Martino Sorbaro
12:30 PM Lunch break
Lunch break
12:30 PM - 2:00 PM
2:00 PM Introduction to machine learning
Introduction to machine learning
2:00 PM - 4:00 PM
Contributions

2:00 PM Machine Learning - Martino Sorbaro
Friday, June 18, 2021
9:00 AM Introduction to deep learning
Introduction to deep learning
9:00 AM - 10:30 AM
Contributions

9:00 AM Introduction to Deep learning
10:30 AM Coffee break
Coffee break
10:30 AM - 11:00 AM
11:00 AM Introduction to deep learning
Introduction to deep learning
11:00 AM - 12:30 PM
Contributions

11:00 AM Introduction to Deep learning
12:30 PM Farewell - Thomas Vuillaume (LAPP, CNRS)
Farewell
- Thomas Vuillaume (LAPP, CNRS)
12:30 PM - 1:00 PM
Room: Auditorium

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