School

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

    • 9:00 AM 9:30 AM
      Welcome note 30m
      Speaker: Nuno Castro (LIP, and University of Minho)
    • 9:30 AM 11:00 AM
      1st class on statistics 1h 30m
      Speaker: Glen Cowan (RHUL)
    • 11:00 AM 11:30 AM
      Coffee-break
    • 11:30 AM 1:00 PM
      1st class on machine learning 1h 30m
      Speaker: Tommaso Dorigo (INFN, Univ. Padova)
    • 1:00 PM 2:30 PM
      Lunch
    • 2:30 PM 4:30 PM
      Statistics exercises 2h
      Speaker: Glen Cowan (RHUL)
    • 4:30 PM 5:00 PM
      Coffee-break
    • 5:00 PM 5:30 PM
      Introduction to gravitational waves 30m
      Speaker: Elena Cuoco
    • 5:30 PM 6:30 PM
      Introduction to the data challenge 1h
      Speakers: Filip Morawski, Massimiliano Razzano, Roberto Corizzo
    • 9:00 AM 10:30 AM
      2nd class on statistics 1h 30m
      Speaker: Glen Cowan (RHUL)
    • 10:30 AM 11:00 AM
      Coffee-break
    • 11:00 AM 12:30 PM
      2nd class on machine learning 1h 30m
      Speaker: Tommaso Dorigo (INFN, Univ. Padova)
    • 12:30 PM 2:00 PM
      Lunch
    • 2:00 PM 3:00 PM
      Data Challenge tutorial 1h
      Speakers: Filip Morawski, Massimiliano Razzano, Roberto Corizzo
    • 3:00 PM 4:30 PM
      3rd class on machine learning 1h 30m
      Speaker: Tommaso Dorigo (INFN, Univ. Padova)
    • 4:30 PM 4:50 PM
      Coffee-break
    • 4:50 PM 5:40 PM
      Tutorial on Keras (part 1) 50m

      https://github.com/GilesStrong/LIP_DSS_Keras_Tutorial_2019

      Speaker: Giles Strong (LIP)
    • 6:00 PM 7:00 PM
      Public Session
      Convener: Glen Cowan
    • 9:00 AM 10:30 AM
      3rd class on statistics 1h 30m
      Speaker: Glen Cowan (RHUL)
    • 10:30 AM 11:00 AM
      Coffee-break
    • 11:00 AM 11:30 AM
      Tutorial on Keras (part 2) 30m

      https://github.com/GilesStrong/LIP_DSS_Keras_Tutorial_2019

      Speaker: Giles Strong (LIP)
    • 11:30 AM 12:30 PM
      Supervised work on the data challenge 1h
      Speakers: Filip Morawski, Massimiliano Razzano, Roberto Corizzo
    • 12:30 PM 2:00 PM
      Lunch
    • 2:00 PM 4:00 PM
      Supervised work on data challenge 2h
      Speakers: Filip Morawski, Massimiliano Razzano, Roberto Corizzo
    • 4:00 PM 4:30 PM
      Coffee-break
    • 4:30 PM 6:00 PM
      Students presentations on the results of the data challenge 1h 30m