List of existing HEPP Schools of Computing
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Name of the SchoolLevelContact person(s)E-mailWeb-siteTraining MaterialCommentsAverage number of students
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CERN School of ComputingMedium/AdvancedSebastian Lopienskisebastian.lopienski@cern.chhttps://csc.web.cern.ch/
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Bertinoro School of ComputingAdvancedFrancesco Giacominifrancesco.giacomini@cnaf.infn.ithttps://web.infn.it/esc17
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GridKaManuel Giffels,
Max Fisher
manuel.giffels@cern.ch
max.fisher@kit.edu
http://gridka-school.scc.kit.edu/2018/
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LHCb StarterkitBeginnerStarterkit Teamlhcb-starterkit@cern.chhttps://lhcb.github.io/starterkit/General: https://lhcb.github.io/analysis-essentials/
LHCb: https://lhcb.github.io/starterkit-lessons/
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FNAL/CMS trainingSudhir Malikmalik@fnal.govhttps://twiki.cern.ch/twiki/bin/view/CMSPublic/WorkBookhttp://lpc.fnal.gov/programs/schools-workshops/index.shtml
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ROOT trainingPere Mato VilaDanilo Piparodanilo.piparo@cern.chhttps://root.cern.ch/root-training-proposal
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ALICE training Dario Berzanodario.berzano@to.infn.it
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Belle II trainingIlya Komarov
Thomas Hauth
ilya.komarov@desy.de
Thomas.Hauth@kit.edu
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Alghero School: Seminar on software for nuclear, subnuclear and applied physicsT Boccali,
GAP Cirrone,
P Oliva,
V Sipala,
G Cuttone,
M Carpinelli,
D D'Urso,
L Pandola,
A Stefanini,
G Petringa
tommaso.boccali@pi.infn.it,
oliva@uniss.it,
pablo.cirrone@lns.infn.it
https://agenda.infn.it/conferenceDisplay.py?confId=14470joint with an official Geant4 School. now at edition #15
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Helmholtz Alliance Physics at the Terascale Schoolshttp://www.terascale.de/schools_and_workshops/Going back to 2007
schools with a variety of topics, not all topics are reoccurring every year. Some topics from 2017/18 relevant for our activity:
-Terascale Statistics School (with ROOT)
-Monte Carlo School
-C++ introductory school
-CAPP - Computer Algebra and Particle Physics
-Advanced Programming Concepts
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CERN Summer Student Lectures Programhttp://summer-timetable.web.cern.ch/summer-timetable/June-August every year
Small number of relevant lectures + ROOT introduction courses
Example:From Raw Data to Physics Results - (3/3)" , "Foundation of Statistics (1/4)"
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CERN OpenLab Summer Student Lectures ProgramMaria Gironemaria.girone@cern.chhttps://hr-dep.web.cern.ch/content/cern-it-lectures-openlab-programmeComputing centric program with several HEP specific topics
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CERN Academic Training SeriesBeginnershttps://indico.cern.ch/category/72/Has about 5% of the courses related to computing. However, sometimes at a very low level.
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CMS Data Analysis SchoolBegineer Analysis users in CMS
Sudhir Malik,
Nicola De Filippis
malik@fnal.govhttps://indico.desy.de/indico/event/19108/Specific to CMS users; happens twice a year. Attached link is next instance
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International Geant4 SchoolsGAP Cirrone,
L Pandola,
G Petringa,
G Cuttone,
P Pisciotta,
G Russo
pablo.cirrone@lns.infn.ithttps://www.facebook.com/SoftwareandGeant4School/
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Lund COMPUTE
A research school dedicated to scientific discovery using computers
Various (targeting all students in the Lund University science faculty)Ross Church, Oscar Agertz, Tobias Ambjornsson (school responsibles), Caterina Doglioni (HEP contact)Ross Church <ross@astro.lu.se>, Oscar Agertz <oscar.agertz@gmail.com>, Tobias Ambjornsson <tobias.ambjornsson@thep.lu.se>, Caterina Doglioni <caterina.doglioni@hep.lu.se>http://cbbp.thep.lu.se/compute/index.phpCOMPUTE is a research school at the Science Faculty, Lund University, with a focus on scientific discovery using computer simulations and computing in general. It runs in parallel to the PhD program and assigns ECTS credits to the students taking the courses and exams. Courses have a variable length, there are semester-long courses and week-long courses. It is complemented by regular seminars and an annual retreat for PhD students and their supervisors. Topics include: Machine learning and deep learning, Jupyter notebooks, GEANT4, Distributed computing tools. A list of all previous courses is here: http://cbbp.thep.lu.se/compute/Previous_courses.php
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School on Open Science CloudL. Fanòlivio.fano@cern.chhttp://www.fisgeo.unipg.it/SOSC18Scientific Program
The 2018 school is devoted to “Predictive Models” and, as the previous edition, will consist of a serie of lectures, seminars and hands-on sessions on several interconnected topics, as:

- The world of Big Data
- Machine and Deep Learning
- Cloud Infrastructures
- Data acquisition, managing and handling
- Computing models and data analysis
- ML Research to Business

The school is mainly organised to serve scientific communities working on High Energy Physics, Material Simulation, Meteorological and Environmental studies, etc. It is intended to deeply discuss the design of new computing infrastructures and analysis models for scientific research, in terms of data ingestion and processing as well as in terms of risk analysis and mitigation countermeasures.

Beyond this scientific focus, this edition will also include an entire session dedicated to introduce and discuss specific collaborations with private companies and with business needs, starting from specific use cases.

Lectures will be given by speakers directly involved in the design, development and management of the most important initiatives related to the European Open Science Cloud, as well as by experts in the specific topics of the school.
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CINECA
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Machine learning in HEP
Andrey Ustyuzhanin
Miha Zgubic
mlhep2018@yandex.ru (for 2018)https://indico.cern.ch/event/687473/https://github.com/yandexdataschool/mlhep2017Machine-learning, from basic to advanced, changes location every year
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