Positive Psychology

A working understanding of how the brain actually works at the level of mechanism — neurons firing, chemicals crossing synapses, regions specializing, circuits adapting. The trunk takes you from a single cell's electrical signal up through brain anatomy, sensation, movement, plasticity, memory, sleep, and emotion; clusters dive into molecular signaling, the neurochemical systems, sensory neuroscience, plasticity and repair, the cognitive brain, the diseased brain, and the tools that let us see any of it.

A working mental model of the cosmos — how we actually know what we know (light, telescopes, spectra), what the solar system, stars, and galaxies are, how the universe began, and how the search for other worlds and life is going. The trunk gives you the full map; clusters dive into the naked-eye sky, observatories, the sun, the planets, black holes, cosmology, and alien worlds.

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.

A practical, 4-pillar skill track that takes you from zero to shipping. You will learn to think in code, master one language deeply (Python), turn scripts into real software with tests and version control, and put your work in front of users with a deploy, a database, and modern AI-assisted workflows. Deliberately narrower than a role-track CS degree: if the question is 'can I build and ship software,' this is the answer.

A working understanding of discrete mathematics — the math of countable, structural objects: sets, logic, counting, graphs, integers, algorithms. The trunk gives you the toolkit; clusters dive into combinatorics, graph algorithms, number theory, logic and computation, cryptography, and information theory.

A beginner-friendly curriculum that builds deep intuition for how AI actually works — not through math or code, but through mental models that make effective use a natural consequence of understanding. Covers how language models think, why they hallucinate, the art of prompting, practical AI workflows for writing, images, and code, and the societal shifts AI is driving. Designed for anyone curious enough to want more than tips and tricks.