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 theclear-marked-inputs
subcommand ofprepare-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 thatremove-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 --init
Then simply change to the
notes
subdirectory and say:./make.sh
The script will optionally make use of
latexrun
. If you getThere were errors; output not updated
on the first go, simply rerun
make.sh
. -
make.sh
will generate two PDFs:notes.pdf
andnotes-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.
Copyright (C) 2020 Andreas Kloeckner
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