Revision as of 04:33, 19 September 2014

Students are encouraged to work in groups, but turn in assignments individually, listing the group members they worked with.

Submission instructions: email both a PDF of your solutions as well as your code (.m or .py files) as attachments to:

   vs265 AT rctn.org

You can hand in a paper copy of your solutions before class, but you still have to email your code to the address above before the assignment is due.

Resources

Student version of Matlab ($50) may be obtained here.

There is an excellent guide to Matlab by Kevin Murphy on the web: http://code.google.com/p/yagtom/

Fernando Perez at the Brain Imaging Center has an excellent set of resources on Python for scientific computing. You will likely find the "Starter Kit" particularly useful.

Also, a great starting point for all scientific python is using Anaconda [1]

For Python you can use apples-oranges.npz

  In [1]: import numpy as np
  In [2]: d = np.load('apples-oranges.npz')
  In [3]: d.keys()
  Out[3]: ['oranges2', 'apples2', 'apples', 'oranges']

@@ Line 30: / Line 30: @@
 * [http://redwood.berkeley.edu/vs265/apples.mat apples.mat]
 * [http://redwood.berkeley.edu/vs265/oranges.mat oranges.mat]
-* [http://redwood.berkeley.edu/vs265/lab2s.m lab2m.m]
+* [http://redwood.berkeley.edu/vs265/lab2m.m lab2m.m]
 * [http://redwood.berkeley.edu/vs265/apples2.mat apples2.mat]
 * [http://redwood.berkeley.edu/vs265/oranges2.mat oranges2.mat]