Target Student Computing Class 2016

Name: Target Student Computing Class 2016
Start: 2016-07-28T13:00:00-05:00
End: 2016-07-28T16:00:00-05:00
Location: No location set

Thursday 28 Jul 2016, 13:00 → 16:00 US/Central

Ruth Pordes (Fermilab)

Description

 Location Racetrack, WH7Xover
Agenda of 
Class 1:   https://indico.fnal.gov/conferenceDisplay.py?confId=12342
Class 2:   https://indico.fnal.gov/conferenceDisplay.py?confId=12325
Class 3:   https://indico.fnal.gov/conferenceDisplay.py?confId=12326

Class 4  Lesson Plan:
Hour 1: Deep Learning and its application to High Energy Physics with LHC ATLAS and Neutrino Physics Examples
   - some background on deep learning/education http://cloudacademy.com/blog/deep-learning-artificial-intelligence-and-cloud/
   -  deep learning and Python http://deeplearning.net/tutorial/
Hour 2: Python coding examples and challenge
Hour 3: OpenCosmics code part 2 and contributions

- 13:00 → 13:40
  
  Deep Learning, its application to HEP, and possibly some simple python examples 40m
  
  Speaker: Dr Amir Farbin (University of Texas at Arlington)
  
  Deep Learning Slides
  
  NOVa Deep learning talk
  
  NoVa talk -- Deep Learning Results
- 13:40 → 13:50
  
  Student Algorithms/Applications intro
  
  List of Algorithms to date
- 13:50 → 14:40
  
  Python examples, survey feedback, and Challenge
  
  Conveners: Nathan Knauf (Fermilab), Mr Thomas Hein (Fermilab)
  
  examples and challenge
- 14:40 → 15:40
  
  OpenCosmics code and coding: :including student algorithm topics
  
  Convener: Nathan Knauf (Fermilab)
  
  Github Link
  
  slides