Note: click on the following link, and actually read it; it’s part of
the syllabus:
../../SyllabusGeneral.html
Introduces evolutionary algorithms, a class of stochastic, population-based algorithms inspired by natural evolution theory (e.g., genetic algorithms), capable of solving complex problems for which other techniques fail. Students will implement course concepts, tackling science, engineering, and/or business problems.
3000-level Probability and Statistics course
http://www.evolutionarycomputation.org/
This class is more flexible in regard to which OS, with some notes
for you to consider:
1. I develop assignments on Fedora, and the containers we grade on
git-classes CI/CD will be Fedora.
2. OpenSuse is easy, rolling, pleasant, well-documented. I have a
convenient OVA for newbies, and non-CS students in courses like
Bioinformatics (see syllabus). It should generally work as Fedora would
in the relevant ways for assignments (and not break things for
you).
3. Debian-based would be OK, though you’ll have more work for setup, as
it’s antiquated. It also comes out of the box with stuff like the PATH
set up incorrectly…
4. If you run some other Linux else bare-metal, it’ll almost certainly
work, and I’m happy to field questions.
Multiple!
Python, C, Clojure (Lisp on Java), and/or push (pyshgp)