Target Student Computing Class 2016

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

Ruth Pordes (Fermilab)

 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

Speaker: Dr Amir Farbin (University of Texas at Arlington)

Deep Learning Slides DL-Fermilab-Students.pdf

NOVa Deep learning talk https://indico.fnal.gov/getFile.py/access?contribId=7&sessionId=1&resId=0&materialId=slides&confId=12068

NoVa talk -- Deep Learning Results http://vmsstreamer1.fnal.gov/Lectures/WC/presentations/160720Backhouse.pdf

13:40 → 13:50 Student Algorithms/Applications intro

List of Algorithms to date Algorithms.docx

13:50 → 14:40 Python examples, survey feedback, and Challenge

Conveners: Nathan Knauf (Fermilab), Mr Thomas Hein (Fermilab)

examples and challenge https://github.com/onlineth/Target2016/blob/master/Tutorials/PythonTutorial_P3.md

14:40 → 15:40 OpenCosmics code and coding: :including student algorithm topics

Convener: Nathan Knauf (Fermilab)

Github Link This is our entire project, go ahead and download it as a zip to test out all the contents

slides target2.pptx