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UNIVERSITAS APERTA · SCIENTIA OMNIBUS PATET · MMXXVI ✦ ✦ Open University Universitas Aperta · Scientia Omnibus Patet

Est. MMXXVI · Universitas Aperta

A university,
open to all.

The world's finest teaching has been free for years — scattered across MIT OpenCourseWare, Stanford, Harvard, Berkeley, and the open web. The Open University gives it what it lacked: structure. Faculties, registrar codes, prerequisites, and programmes of study that take you from first principles to the frontier of a field.

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UNIVERSITAS APERTA · SCIENTIA OMNIBUS PATET · MMXXVI ✦ ✦

The Faculties

Every course in the catalogue belongs to a faculty and carries a registrar code — the hundreds digit tells you its level, from 100-level foundations to 300-level advanced study.

MATH Faculty of Mathematics Calculus, linear algebra, and discrete mathematics — the language every other faculty is written in. Begin here if you intend to go far. 5 courses CS Faculty of Computer Science Programming, algorithms, and the machinery beneath them — from a first line of code to building a computer from NAND gates and distributing systems across the network. 7 courses STAT Faculty of Statistics Probability, inference, and statistical learning — how to reason honestly under uncertainty, and the discipline machine learning quietly rests on. 3 courses ML Faculty of Machine Learning From classical supervised learning through deep neural networks to reinforcement learning — taught by the people who wrote the field's canonical courses. 6 courses AI Faculty of AI & Language Models Natural language processing and the study of large language models — the youngest faculty, closest to the research frontier, revised most often. 4 courses ART Faculty of Fine Arts Art history, criticism, and the practice of making — from cave painting to the postwar studio, taught by museums, universities, and working artists. 6 courses LIT Faculty of Letters Writing and literature — rhetoric, the craft of fiction, and the close reading of novels and poems, in the oldest tradition a university has. 6 courses HIST Faculty of History From the fall of Rome to the age of revolutions — lecture courses by some of the finest narrative historians ever recorded. 6 courses LAW Faculty of Law The common law tradition and the reasoning beneath it — contracts, precedent, and the question of justice itself. 5 courses

Programmes of Study

A programme sequences courses across faculties into a coherent course of study — what a degree would be, if a degree were honest about its prerequisites.

I Foundations of Machine Learning From first derivative to first trained network: the mathematics, the statistics, and the core methods, in the order that makes each step feel inevitable rather than mysterious. 4 stages · 10 courses II Large Language Models The shortest honest path from trained fundamentals to the research frontier of language models: build a GPT by hand, learn the ideas that led to it, then study the large models themselves. 4 stages · 4 courses III Computer Science Core A classical computer science education assembled from the canonical open courses: learn to program, learn to abstract, learn the machine, and end by taming distributed systems. 4 stages · 7 courses

The courses stay where they live

We link to every course at its canonical home and never rehost materials. The scholarship and its credit belong to the institutions and teachers who made it free in the first place.

The structure is the contribution

Faculties, course codes, prerequisite chains, and honest workload estimates in ECTS credits — the apparatus of a real university, applied to the open web's best teaching.

The curriculum belongs to everyone

Every course entry is a plain text file in a public repository, licensed CC BY-SA. Propose a course, contest a prerequisite, or found a faculty — by pull request.