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SessionMain TopicsML functionsInstructional materialsrelevant modules to review ahead of time
week 1, 1

data arrays, vectors

simple arithmetic

simple plotting

descriptive statistics, both command line and interactive

assignment operator

x=1:100;

element-based vs. matrix operations

plot()

hist()

scatter3()

surf()

mean(), median(), std()

see dropbox folder from 2011

1-d data structures

simple plots

 

week 1, 2

scripts

importing and exporting data

simple interactive fits

 

creating scripts

import wizard, load()

max(), min(), indices, array subsets

see dropbox folder from 2011simple fitting
week 1, 3

more complex fits

statistical toolbox

confidence intervals on fit parameters

writing functions

cftool()

 

 

writing functions

 

complex fitting

week 2, 4

control flow: for, if.

debugging

numerical integration and differentiation

 

for () if ()

breakpoints

cumsum(), cumtrapz(), diff()

  
week 2, 5

linear equations, matrices

eigenvalues

matrix inversion

   
week 2, 6numerical solutions to differential equations   
 image processing in matlab   

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Lu: space allocation, undergrad TF and grad TF search

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April 10 2014. 

Topics for Rob Lue meeting Friday April 11:

  1. prospect of EdX producing and hosting MATLAB short clips/modules. Can we get started now, and make progress over the summer? 
  2. HILT?
  3. Bok center support for MATLAB boot camp sessions
  4. Grouper
  5. AOB

    April 11 meeting with Rob Lue

Michael Springer systems bio is making an HarvardX course on quantitative methods. 

Rob will re-open in June call for new proposals. They will provide project manager, funds for curriculum development, cost for tool-building, 

Harvard College (Kate Stanton) should cover course costs. Or cover from course staffs

Rob appointed Curriculum Assistants in life sciences. Funds were originally Howard Hughes grant. Processed as an hourly appointment through Departments. 

CWS: think about online LSST prep stuff.