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Difference between revisions of "VS265: Homework assignments"

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(Lab #1, due Tuesday, September 16 at beginning of class)
(Assignments)
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* [http://redwood.berkeley.edu/vs265/data.mat data.mat]
 
* [http://redwood.berkeley.edu/vs265/data.mat data.mat]
 
<!--[http://redwood.berkeley.edu/w/images/e/ef/Hw1_soln_bilenko.pdf Solution.pdf] -->
 
<!--[http://redwood.berkeley.edu/w/images/e/ef/Hw1_soln_bilenko.pdf Solution.pdf] -->
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==== Lab #2, due Tuesday, September 23 at beginning of class ====
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* [http://redwood.berkeley.edu/vs265/lab2.pdf lab2.pdf]
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* [http://redwood.berkeley.edu/vs265/apples.mat apples.mat]
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* [http://redwood.berkeley.edu/vs265/oranges.mat oranges.mat]
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* [http://redwood.berkeley.edu/vs265/lab2s.m lab2s.m] or [http://redwood.berkeley.edu/vs265/lab2s.txt lab2s.py]
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* [http://redwood.berkeley.edu/vs265/apples2.mat apples2.mat]
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* [http://redwood.berkeley.edu/vs265/oranges2.mat oranges2.mat]
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''For Python you can use [http://redwood.berkeley.edu/vs265/apples-oranges.npz apples-oranges.npz]''
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  In [1]: import numpy as np
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  In [2]: d = np.load('apples-oranges.npz')
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  In [3]: d.keys()
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  Out[3]: ['oranges2', 'apples2', 'apples', 'oranges']

Revision as of 21:39, 16 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

Matlab

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/

Python

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]

Assignments

Lab #1, due Tuesday, September 16 at beginning of class


Lab #2, due Tuesday, September 23 at beginning of class

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']
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