Slides/notes and Jupyter notebook demos for an introductory course of numerical analysis, following the textbook Scientific Computing: An Introductory Survey by Michael T. Heath.
Developed over the years while teaching CS450 in the Department of Computer Science at the University of Illinois. A number of the demos were based on material initially developed by Luke Olson.
PDF of these slides/notes (see notes
for source)
The demos use annotations for ipython-demo-tools.
A #clear annotation at the beginning of a code cell allows the
clear-marked-inputs subcommand of
prepare-ipynb
to remove the content of those input cells, maybe to use them for live coding in class.
The #clear marks themselves can be removed by that remove-marks subcommand.
The notes are written in Org mode, which serves as a lightweight markup language over LaTeX. They're easiest to edit in Emacs, but vim-orgmode will do as well.
To build the notes, you need any recent version of Emacs installed. Also make sure that submodules cloned properly:
git submodule update --initThen simply change to the notes subdirectory and say:
./make.shThe script will optionally make use of latexrun.
If you get
There were errors; output not updatedon the first go, simply rerun make.sh.
make.sh will generate two PDFs: notes.pdf and notes-folded.pdf.
They differ in whether the boxes present in the notes (containing many
of the most salient mathematical developments) are filled in or not.
I use the un-filled version for class and fill in the boxes by hand during class using Xournal++ (but equivalent notetaking applications should work just as well).
If you can demonstrate that you are teaching a related course at a college or university anywhere in the world, I have homework assignments and projects (some of which are autograded using the RELATE system) that I would be happy to share with you.
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