The first school on tools, techniques and methods for Computational and Data Science for High Energy Physics (CoDaS-HEP) will take place on 10-13 July, 2017, at Princeton University.
Advanced software is a critical ingredient to scientific research. Training young researchers in the latest tools and techniques is an essential part of developing the skills required for a successful career both in research and in industry.
The CoDaS-HEP school aims to provide a broad introduction to these critical skills as well as an overview of applications High Energy Physics. Specific topics to be covered at the school include:
- Parallel Programming
- Big Data Tools and Techniques
- Machine Learning
- Practical skills like performance evaluation, use of git, etc.
The school offers a limited number of young researchers an opportunity to learn these skills from experienced scientists and instructors. Successful applicants will receive travel and lodging support to attend the school.
School website: http://codas-hep.org
The draft timetable/program is online, further details will be added in the next weeks.
|This project is supported by National Science Foundation grants PHY-1520942, PHY-1520969, PHY-1521042 and ACI-1450377 and by the Princeton Institute for Computational Science and Engineering (PICSciE). Any opinions, findings, conclusions or recommendations expressed in this material are those of the developers and do not necessarily reflect the views of the National Science Foundation.|