1. Learning goals

For you:

  • get a first (or second) look at tools;
  • gain some experience in the basic command line;
  • get 80% of way to a complete analysis of some data;
  • introduction to philosophy and perspective of data analysis in science;

2. Safe space and code of conduct

This is intended to be a safe and friendly place for learning!

Please see the Software Carpentry workshop Code of Conduct: http://software-carpentry.org/conduct.html

In particular, please ask questions, because I guarantee you that your question will help others!

3. Instructor introductions

Harriet Alexander - postdoc at UC Davis.

Phil Brooks - postdoc at UC Davis.

Titus Brown - prof at UC Davis in the School of Vet Med.

4. Amazon Web Service and cloud computing - why?!

  • simplifies software installation;
  • can be used for bigger analyses quite easily;
  • good for “burst” capacity (just got a data set!)
  • accessible everywhere;

5. Sticky notes and how they work

Basic rules:

  • no sticky note - “working on it”
  • green sticky note - “all is well”
  • red sticky note - “need help!”

Place the sticky notes where we can see them from the back of the room – e.g. on the back of your laptop.

Next: Connecting to your instance

LICENSE: This documentation and all textual/graphic site content is released under Creative Commons - 0 (CC0) -- fork @ github.