VS265: Homework assignments: Difference between revisions
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==== Lab # | ==== Lab #3, due Thursday, October 2 at beginning of class ==== | ||
* [http://redwood.berkeley.edu/vs265/ | * [http://redwood.berkeley.edu/vs265/lab3.pdf lab4.pdf] | ||
Matlab code are as separate files below. | Matlab code are as separate files below. | ||
* [http://redwood.berkeley.edu/vs265/ | * [http://redwood.berkeley.edu/vs265/lab3/hebb.m hebb.m] | ||
* [http://redwood.berkeley.edu/vs265/ | * [http://redwood.berkeley.edu/vs265/lab3/eigmovie.m eigmovie.m] | ||
Data | Data | ||
* [http://redwood.berkeley.edu/vs265/ | * [http://redwood.berkeley.edu/vs265/lab3/data2d.mat data2d.mat] | ||
* [http://redwood.berkeley.edu/vs265/ | * [http://redwood.berkeley.edu/vs265/lab3/faces2.mat faces2.mat] | ||
''For Python you can use '' | ''For Python you can use '' | ||
* [http://redwood.berkeley.edu/vs265/ | * [http://redwood.berkeley.edu/vs265/lab3/data2d.npz data2d.npz] (see previous assignments above for how to read this in) | ||
* [http://redwood.berkeley.edu/vs265/ | * [http://redwood.berkeley.edu/vs265/lab3/faces2.npz faces2.npz] | ||
* [http://redwood.berkeley.edu/vs265/ | * [http://redwood.berkeley.edu/vs265/lab3/hebb.txt hebb.py] | ||
* [http://redwood.berkeley.edu/vs265/ | * [http://redwood.berkeley.edu/vs265/lab3/eigmovie.txt eigmovie.py] | ||
<!-- * [http://redwood.berkeley.edu/vs265/sols/hw3-08.pdf Solutions.pdf] This is a solution from a previous version of this class that is really well written. --> | <!-- * [http://redwood.berkeley.edu/vs265/sols/hw3-08.pdf Solutions.pdf] This is a solution from a previous version of this class that is really well written. --> | ||
Revision as of 21:45, 25 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']
Lab #3, due Thursday, October 2 at beginning of class
Matlab code are as separate files below.
Data
For Python you can use
- data2d.npz (see previous assignments above for how to read this in)
- faces2.npz
- hebb.py
- eigmovie.py
