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The MIT Challenge -- Learning 4 Years in 12 Months (Without Taking Classes)

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Over the next 12 months I plan to learn MIT's entire 4-year curriculum for computer science, without taking any classes (or even being enrolled at MIT).
If you want to get updates on how the challenge progresses, as well as the learning insights and free self-education material I'm using, subscribe to this YouTube channel.
Here's a full list of the courses I plan on taking (although these may change slightly as I progress):
8.01: Physics I -- Classical Mechanics
18.01: Single Variable Calculus
18.02: Multi-Variable Calculus
6.01: Introduction to Electrical Engineering and Computer Science I
8.02: Physics II -- Electromagnetism
6.01: Introduction to Electrical Engineering and Computer Science II
5.111: Principles of Chemical Science
7.012: Introduction to Biology
18.03: Differential Equations
6.002: Circuits and Electronics
6.003: Signals and Systems
6.004: Computation Structures
6.042J: Mathematics for Computer Science
6.006: Introduction to Algorithms
6.005: Elements of Software Construction
6.033: Computer Systems Engineering
6.046J: Design and Analysis of Algorithms
6.013: Electromagnetics and Applications
6.041: Probabilistic Systems Analysis and Applied Probability
6.011: Introduction to Communication, Control and Signal Processing
6.450: Principles of Digital Communication
6.034: Artificial Intelligence
6.801: Machine Vision
6.837: Computer Graphics
18.06: Linear Algebra
14.01: Principles of Microeconomics
14.02: Principles of Macroeconomics
24.222: Decisions, Games and Rational Choice
24.241: Logic I
24.244: Modal Logic
14.23: Government Regulation of Industry
14.20: Industrial Organization and Competitive Strategy
14.48J: Economics of Education
If you want to get updates on how the challenge progresses, as well as the learning insights and free self-education material I'm using, subscribe to this YouTube channel.
Here's a full list of the courses I plan on taking (although these may change slightly as I progress):
8.01: Physics I -- Classical Mechanics
18.01: Single Variable Calculus
18.02: Multi-Variable Calculus
6.01: Introduction to Electrical Engineering and Computer Science I
8.02: Physics II -- Electromagnetism
6.01: Introduction to Electrical Engineering and Computer Science II
5.111: Principles of Chemical Science
7.012: Introduction to Biology
18.03: Differential Equations
6.002: Circuits and Electronics
6.003: Signals and Systems
6.004: Computation Structures
6.042J: Mathematics for Computer Science
6.006: Introduction to Algorithms
6.005: Elements of Software Construction
6.033: Computer Systems Engineering
6.046J: Design and Analysis of Algorithms
6.013: Electromagnetics and Applications
6.041: Probabilistic Systems Analysis and Applied Probability
6.011: Introduction to Communication, Control and Signal Processing
6.450: Principles of Digital Communication
6.034: Artificial Intelligence
6.801: Machine Vision
6.837: Computer Graphics
18.06: Linear Algebra
14.01: Principles of Microeconomics
14.02: Principles of Macroeconomics
24.222: Decisions, Games and Rational Choice
24.241: Logic I
24.244: Modal Logic
14.23: Government Regulation of Industry
14.20: Industrial Organization and Competitive Strategy
14.48J: Economics of Education
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