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Computer Science Self-Study (Stanford, MIT, Berkeley)
I'm embarking on a 4-year journey to self-study a comprehensive Computer Science curriculum with an AI specialization, using free materials from Stanford, MIT, and Berkeley.
📚 My Study Plan
View My Complete 4-Year CS Curriculum →
This is where I'll document my entire learning journey, including:
- Daily notes from lectures and problem sets
- Key concepts and visual explanations
- Projects and assignments
- Challenges and breakthroughs
Course Series (Coming Soon)
As I progress through the curriculum, I'll create detailed series for each course:
Year 1: Foundation
- CS106A: Programming Methodology
- CS106B: Programming Abstractions
- Single & Multivariable Calculus
- Linear Algebra
- Discrete Mathematics
Year 2: Core CS
- CS107: Computer Organization and Systems
- CS161: Design and Analysis of Algorithms
- Operating Systems
- Databases
Year 3: AI Specialization
- CS229: Machine Learning
- CS231n: Computer Vision
- CS224n: Natural Language Processing
- CS234: Reinforcement Learning
Year 4: Advanced Topics & Capstone
- Deep Generative Models
- Meta Learning
- Capstone Project
Follow along as I learn in public. The journey starts now.