-- use project Euler for in-class code projects

-- piazza or freeforums.org -- open discussion forum

-- tedEd -- exercises embedded in lectures

-- jiffylab -- set up a teaching environemtn

or ipython chrome app (colaboration ?)

-- do the codeacademy python track outside of class?

-- Stanford NIFTY: computer science projects for students

-- ipython widgets

-- wakari: host a notebook

-- plot.ly

-- coLaboratory Notebooks

-- available in the Chrome store

-- nbdiff

-- mpld3 -- interactive matplotlib in ipython notebook

-- "seven ways to think like the web"

-- have a lecture at the start on "mananging projects with git, github, pull

requests

references:

-- "Computational Thinking" J M Wing (Communications in the ACM)

-- Computing 4 Physics: https://github.com/Computing4Physics/C4P

grading:

-- grading is based on discussion. Here's a loose metric:

by posting, I don't mean a "me to" type post, but something

either demonstrating a problem you don't understand (giving code),

asking for some detail from the lecture to be explained,

sharing a neat trick you found

A: 12 postings to the discussion board (essentially once a week)

+

a small example showing how you can apply what we've discussed

in class to your field.

A-: 8 postings to the discussion board

B+: 5 postings to the discussion board

B: 2 postings to the discussion board