School

Name: School
Start: 2019-03-25T09:00:00+00:00
End: 2019-03-27T18:00:00+00:00
Location: UMinho

25 Mar 2019, 09:00 → 27 Mar 2019, 18:00 UTC

B1 auditorium, Complexo Pedagógico II (UMinho)

B1 auditorium, Complexo Pedagógico II

UMinho

R. da Universidade 4710-057 Braga - Portugal

Nuno Castro (LIP, and University of Minho), Lorenzo Cazon (LIP), Rúben Conceição (LIP)

Description

Data Science School in (Astro)Particle Physics and Cosmology

www.lip.pt/data-science-2019

Docker images (and instructions) for the tutorials and data challenge: https://lip-computing.github.io/datascience2019

Gitter room to discuss the data challenge and share code: https://gitter.im/LIP_DataScience_2019/community?utm_source=share-link&utm_medium=link&utm_campaign=share-link

If you comment about the school in social media, we suggest to use #DataScienceBraga2019

School pictures will be compiled in https://www.flickr.com/photos/nfcastro/sets/72157677381002347

Monday, 25 March
- 09:00 → 09:30
  
  Welcome note 30m
  
  Speaker: Nuno Castro (LIP, and University of Minho)
  
  Open School Data Science.pdf
- 09:30 → 11:00
  
  1st class on statistics 1h 30m
  
  Speaker: Glen Cowan (RHUL)
  
  cowan_braga19_1.pdf
- 11:00 → 11:30
  
  Coffee-break
- 11:30 → 13:00
  
  1st class on machine learning 1h 30m
  
  Speaker: Tommaso Dorigo (INFN, Univ. Padova)
  
  Lecture 1 alone.pptx
- 13:00 → 14:30
  
  Lunch
- 14:30 → 16:30
  
  Statistics exercises 2h
  
  Speaker: Glen Cowan (RHUL)
  
  cowan_braga19_tutorial.pdf
  
  prob_sheet_braga19.pdf
- 16:30 → 17:00
  
  Coffee-break
- 17:00 → 17:30
  
  Introduction to gravitational waves 30m
  
  Speaker: Elena Cuoco
  
  ECuoco_TSCA17137.pptx
- 17:30 → 18:30
  
  Introduction to the data challenge 1h
  
  Speakers: Filip Morawski, Massimiliano Razzano, Roberto Corizzo
  
  introduction_data_challenge.pdf
Tuesday, 26 March
- 09:00 → 10:30
  
  2nd class on statistics 1h 30m
  
  Speaker: Glen Cowan (RHUL)
  
  cowan_braga19_2.pdf
- 10:30 → 11:00
  
  Coffee-break
- 11:00 → 12:30
  
  2nd class on machine learning 1h 30m
  
  Speaker: Tommaso Dorigo (INFN, Univ. Padova)
  
  Lecture 2 alone.pptx
- 12:30 → 14:00
  
  Lunch
- 14:00 → 15:00
  
  Data Challenge tutorial 1h
  
  Speakers: Filip Morawski, Massimiliano Razzano, Roberto Corizzo
  
  Data-Challenge-Slides-Roberto.pdf
- 15:00 → 16:30
  
  3rd class on machine learning 1h 30m
  
  Speaker: Tommaso Dorigo (INFN, Univ. Padova)
  
  Lecture 3 alone.pptx
- 16:30 → 16:50
  
  Coffee-break
- 16:50 → 17:40
  
  Tutorial on Keras (part 1) 50m
  
  https://github.com/GilesStrong/LIP_DSS_Keras_Tutorial_2019
  
  Speaker: Giles Strong (LIP)
- 18:00 → 19:00
  
  Public Session
  
  Convener: Glen Cowan
  
  cowan_learning_from_data.pdf
Wednesday, 27 March
- 09:00 → 10:30
  
  3rd class on statistics 1h 30m
  
  Speaker: Glen Cowan (RHUL)
  
  cowan_braga19_3.pdf
- 10:30 → 11:00
  
  Coffee-break
- 11:00 → 11:30
  
  Tutorial on Keras (part 2) 30m
  
  https://github.com/GilesStrong/LIP_DSS_Keras_Tutorial_2019
  
  Speaker: Giles Strong (LIP)
- 11:30 → 12:30
  
  Supervised work on the data challenge 1h
  
  Speakers: Filip Morawski, Massimiliano Razzano, Roberto Corizzo
  
  cnns.pdf
- 12:30 → 14:00
  
  Lunch
- 14:00 → 16:00
  
  Supervised work on data challenge 2h
  
  Speakers: Filip Morawski, Massimiliano Razzano, Roberto Corizzo
- 16:00 → 16:30
  
  Coffee-break
- 16:30 → 18:00
  
  Students presentations on the results of the data challenge 1h 30m