Astronomy

Legal literacy — how law actually works. The trunk gives you the operating system: where law comes from, how courts and precedent work, contracts, torts, property, criminal vs civil, and constitutional structure. Clusters dive into reading cases, contract mechanics, IP, your rights with police, and the startup legal toolkit.

A non-technical curriculum that builds real understanding of AI — how it works, why it fails, and how to use it intelligently. No math, no code, just durable mental models that make you a confident, critical user of AI tools.

A working understanding of psychology — what the science actually claims about how minds, brains, and behavior fit together. The trunk gives you the orientation a literate professional needs (how psychology knows what it knows, the brain behind behavior, learning, memory, decision-making, emotion, personality, social influence, development, pathology, and what therapy does); clusters dive into research methods, perception, cognition mechanics, social influence tactics, the field guide of disorders, applied behavioral science, and the psychology of everyday life.

A guided tour through philosophical thinking — how to reason carefully, evaluate arguments, navigate ethics, and engage with the great questions about knowledge, reality, mind, and society. The trunk gives you orientation across the whole field; clusters dive deep on logic, ethics, epistemology, metaphysics, mind, politics, and the history of ideas.

A working understanding of mathematics — the universal language scientists, engineers, and quants use to describe the world. The trunk gives you the throughline from how mathematicians think to how math models reality; clusters dive into proof, trig, calculus mechanics, advanced linear algebra, number theory and cryptography, probability, stochastic processes, and the foundational limits of math itself.

Build the universal mental model that every database is implemented against — the relational model, schemas and keys, indexes, transactions, concurrency, PostgreSQL architecture, production operations, modeling patterns, and the modern data ecosystem (NoSQL, distributed SQL, warehouses, vectors, streaming).