This repository is the Open Source Society University (OSSU) computer science curriculum guide. It is not a software application or data pipeline; it is a curated, version-controlled list of free online courses, textbooks, and resources organized to replicate the core of an undergraduate computer science degree. The repository contains markdown files that describe the curriculum structure, course pages with instructions, and supporting documentation (FAQ, contributing guidelines, changelog). It uses Jekyll to generate a static website at cs.ossu.dev and includes a minimal GitHub Actions workflow to automatically close empty issues. The primary function is to serve as a reference and roadmap for self-learners, not to execute code or process data. While it has no reusable software components, its value lies in the careful curation and community-maintained structure.
This repository contains the legacy edition of 'Practical Numerical Methods with Python', a multi-campus MOOC (2014–2016) on numerical methods for science and engineering. It is organized as five stacked modules covering ODE integration (phugoid flight dynamics), finite-difference PDEs (convection, diffusion, waves), and elliptic problems (Laplace, Poisson, Stokes flow). The primary content is 26 Jupyter notebooks with interleaved theory, code, and assignments, plus helper Python modules and data files. The course is explicitly no longer updated; development has moved to a separate repository. The codebase is pedagogically strong but suffers from outdated dependencies (Python 3.4, NumPy 1.9.2, Numba 0.20.0), broken imports (numba.autojit removed), and reliance on a decommissioned Open edX platform for assessments. No tests, CI, or modern packaging exist. The repository is best treated as a historical archive and reference for numerical method patterns, not as a runnable course.