Mathematical Problem Solving

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 how music is built — the twelve-note system, intervals, scales, keys, chords, harmony, rhythm, and form. The trunk gives you the complete map from a single note to a finished song; clusters dive deep into modes, the circle of fifths, chord construction, progressions, rhythm, melody, and form.

A working understanding of blockchain and Web3 — what these systems actually are, why they were built, and how the pieces (wallets, consensus, smart contracts, tokens, DeFi, NFTs, DAOs) fit together. The trunk gives you the orientation to follow any crypto conversation; clusters dive into cryptography, custody, consensus, smart-contract engineering, DeFi mechanics, NFTs/DAOs, and building dApps.

A working understanding of finance and investing — how capital markets price risk, how companies create value, how investors build portfolios, and where the math meets human psychology. The trunk gives you the throughline; clusters dive into financial statements, valuation, corporate finance, bonds, portfolio construction, derivatives, and behavioral finance.

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.