# ipcc-root.github.io-source
pelican source for CoDaS-HEP school website 

![](https://travis-ci.org/codas-hep/codas-hep.github.io-source.svg?branch=master)

Created CoDaS-HEP github repository for website sources
Using [Pelican](http://getpelican.com/) to generate website with fork of [pelican-themes](https://github.com/getpelican/pelican-themes) theme

Using Travis to build website -- [how-to](http://zonca.github.io/2013/09/automatically-build-pelican-and-publish-to-github
-pages.html)

# ipcc-root.github.io-source
pelican source for CoDaS-HEP school website 

![](https://travis-ci.org/codas-hep/codas-hep.github.io-source.svg?branch=master)

Created CoDaS-HEP github repository for website sources
Using [Pelican](http://getpelican.com/) to generate website with fork of [pelican-themes](https://github.com/getpelican/pelican-themes) theme

Using Travis to build website -- [how-to](http://zonca.github.io/2013/09/automatically-build-pelican-and-publish-to-github
-pages.html)

  So that makes 3 full days, say:

   Introduction to Version Control with Git and GitHub (Luet) - 2 hours
   ML Technology (Spark, TensorFlow/TensorBoard) (Alexey) - 2 hours
   ML Methods (Alexey) - 2 hours

   Parallel Programming (Mattson) - 8 hours (or 2 x 4)

   Functional Programming for data analysis (Jim) - 2 hours
   Language Interoperability (Jim) - 2 hours
   Performance Tuning (Ian) - ~4 hours (TBC)

   Guest Lecture on Applied ML topic - 1 hour
   Guest Lecture on Applied Parallelization topic (e.g. tracking) - 1 hour


Add rough draft of lessons
Add rough draft of lessons
