Discrete mathematics is the silent backbone of computer science — the logic, structures, and proofs that everything else is built on. This repository turns those abstract ideas into things you can see and run.
What it does
A collection of visualizations, tools, and projects covering core discrete-mathematics concepts:
- Algorithm visualizations that make graphs, sets, and proofs tangible.
- Educational tooling for working through problems interactively.
- Mathematical modeling examples that bridge theory and working code.
Figure 1 — A classic recursion example, rendered so the move sequence is easy to follow.
Highlights
The toolkit grew out of coursework and became a small library of self-contained demonstrations — recursion puzzles like the Tower of Hanoi, graph algorithms, and combinatorics helpers — each written to be read as much as run. It is primarily an educational resource, and it is built in Python so students can follow the logic without heavy dependencies.
Repository
Further reading
- The Rasch Model — another place where mathematical structure underwrites measurement.