0
$\begingroup$

Cloud Foundry open sourced their curriculum to train students on how to use it. Are there any other open source courses out there or organizations who collects training that is open sourced?

To clarify: I am looking for training for hardware/software that has been open sourced. Not open source software that has training.

| improve this question | | | | |
$\endgroup$
  • $\begingroup$ The answer is trivially yes. Are you looking for something specific, or just a list of every product that trains users how to use their products? $\endgroup$ – Ben I. Aug 31 '19 at 20:27
  • $\begingroup$ I'm specifically looking for courseware: slides, labs, etc. that are released under an open source or creative commons license. $\endgroup$ – JSEvans Aug 31 '19 at 20:38
  • $\begingroup$ Note: Not all creative commons licences are complaint with the Open Source or Free Software definitions. Specifically none of the NC variants. $\endgroup$ – ctrl-alt-delor Sep 5 '19 at 21:24
3
$\begingroup$

First, there is a scientific journal that may include publications of such material that are what you are looking for: The Journal of Open Source Education, "An educator friendly journal for publishing computational learning modules and educational software."

Second, but I am not sure this is completely relevant to your question, there are the open source computational lesson from The Carpentries:

  • Software Carpentry has lessons on the unix shell, version control (git and mercurial), programming in Python or R, R for Reproducible Scientific Analysis and more
  • Data Carpentry has lessons more tailored to a research domain, on data analysis, but includes programming as well
  • not yet part of The Carpentries, but under development is HPC carpentry lessons: shell, Python, Chapel, Snakemake
  • there is also Library Carpentry, but their lessons are more tailored to librarians

All these lessons are CC-BY.

Disclaimer: I am on The Carpentries Executive Council

| improve this answer | | | | |
$\endgroup$
  • $\begingroup$ Thank you. This is a great place to start. $\endgroup$ – JSEvans Sep 2 '19 at 15:04
0
$\begingroup$

Disclaimer: advertising(?) my own material here! Not sure if it is okay to do this, if not please let me know and I will remove this post!

I have also opened all the materials of a course I teach on Algorithms & Data structures here: https://gitlab.ewi.tudelft.nl/ads-maths/course-material It's an introduction to complexity analysis of algorithms, basic data structures (lists, hashsets/maps, trees, and graphs), and some algorithms that operate on graphs (like traversals and shortest path algorithms).

| improve this answer | | | | |
$\endgroup$
  • 1
    $\begingroup$ Perfectly allowable as long as your affiliation is disclosed. Welcome back :) $\endgroup$ – Ben I. Sep 4 '19 at 9:49
  • $\begingroup$ Note: this material is NOT Open Sourced it is Attribution-NonCommercial-ShareAlike 4.0 International. This licence dose not comply with the Open Source definition, Or the Free Software definition. Most Creative commons licences are compliant, but none of the NC (NonCommercial) ones are. $\endgroup$ – ctrl-alt-delor Sep 5 '19 at 21:28
  • $\begingroup$ Oh! Thanks for pointing that out, I should talk to my university about this then, as this is what they recommend I put on it ;( So am I right in understanding that this is okay for slides etc, but not for the implementation assignments? Or not even that? $\endgroup$ – MrHug Sep 6 '19 at 7:00

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Not the answer you're looking for? Browse other questions tagged or ask your own question.