Seyed Masoud Hosseini · Overview · Study log · Ideas · Transcript · RSS feed
Bachelor
A self-designed bachelor built on Yale's 36-course model and studied through university lectures on YouTube. Thirty-six courses over eight terms across AI, software, hardware, cryptography, math, philosophy, psychology, management, economics and writing. Each course closes with an exam and an artifact that proves the work, and a senior project caps the degree in summer 2030. My progress, notes, references and the ideas that come out of studying are all public here.
Start: Sep 15, 2026 · Expected finish: May 2030 · Senior project: Summer 2030
0 of 36 courses completed · 2.5 hours logged
Progress by area
- AI: 0 of 10 completed
- Software: 0 of 4 completed
- Hardware: 0 of 4 completed
- Crypto: 0 of 4 completed
- Math: 0 of 2 completed
- Philosophy: 0 of 4 completed
- Psychology: 0 of 3 completed
- Management: 0 of 3 completed
- Economics: 0 of 1 completed
- Writing: 0 of 1 completed
Recent activity
- Day one — building micrograd from scratch — Neural Networks: Zero to Hero, Sep 15, 2026, 2.5 h
Four-year plan
Year 1
Fall 2026
- Neural Networks: Zero to Hero — Andrej Karpathy (Planned)
- Parallel Computing & CUDA — Stanford CS149 (Planned)
- Machine Learning — Stanford CS229, Andrew Ng (Planned)
- The Craft of Writing Effectively + weekly essay — UChicago, Larry McEnerney (Planned)
- Justice — Harvard, Michael Sandel (Planned)
Spring 2027
- Deep Learning for Computer Vision — Stanford CS231n (Planned)
- Digital Design & Computer Architecture — ETH Zurich, Onur Mutlu (Planned)
- FPGA & Verilog Design — Nandland / Digi-Key series (Planned)
- Introduction to Psychology — Yale PSYC 110, Paul Bloom (Planned)
Year 2
Fall 2027
- NLP with Deep Learning — Stanford CS224N (Planned)
- Circuits & Electronics — MIT 6.002 (Planned)
- Probability — MIT 6.041, John Tsitsiklis (Planned)
- Cryptography I — Stanford, Dan Boneh (Planned)
- General Philosophy — Oxford, Peter Millican (Planned)
Spring 2028
- Deep Learning Systems — CMU 10-414, Kolter & Chen (Planned)
- Deep Reinforcement Learning — Berkeley CS285, Sergey Levine (Planned)
- Performance Engineering of Software Systems — MIT 6.172 (Planned)
- Bitcoin & Cryptocurrency Technologies — Princeton, Arvind Narayanan (Planned)
Year 3
Fall 2028
- Design & Analysis of Algorithms — MIT 6.046 (Planned)
- Embedded Systems, 6502 breadboard computer — Ben Eater (Planned)
- Computer Security — MIT 6.858 (Planned)
- Human Behavioral Biology — Stanford, Robert Sapolsky (Planned)
- How to Start a Startup — Stanford CS183B, Y Combinator (Planned)
Spring 2029
- Distributed Systems — MIT 6.824 (Planned)
- Blockchain & Money — MIT 15.S12, Gary Gensler (Planned)
- Game Theory — Yale ECON 159, Ben Polak (Planned)
- New Enterprises — MIT 15.390, Bill Aulet (Planned)
Year 4
Fall 2029
- Machine Learning Compilation — MLC, Tianqi Chen (Planned)
- LLM Agents — Berkeley LLM Agents MOOC, Dawn Song (Planned)
- Language Modeling from Scratch — Stanford CS336 (Planned)
- Matrix Methods for Data Analysis & ML — MIT 18.065, Gilbert Strang (Planned)
- Death — Yale PHIL 176, Shelly Kagan (Planned)
Spring 2030
- Zero Knowledge Proofs — Berkeley ZK MOOC, Boneh & Song (Planned)
- The Human Brain — MIT 9.13, Nancy Kanwisher (Planned)
- Moral Foundations of Politics — Yale, Ian Shapiro (Planned)
- Financial Markets — Yale ECON 252, Robert Shiller (Planned)