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| Session | Main Topics | ML functions | Instructional materials | relevant 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 2011 | simple 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, 6 | numerical solutions to differential equations | |||
| image processing in matlab |
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