Course 6 – Electrical Engineering and Computer Science

  • 6.002- Circuits and Electronics
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  • 6.003- Signals and Systems
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  • 6.006- Introduction to Algorithms
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  • 6.01- Introduction to EECS via Robotics
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  • 6.011- Signals, Systems and Inference
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  • 6.012- Microelectronic Devices and Circuits
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  • 6.022- Quantitative Systems Physiology
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  • 6.023- Fields, Forces and Flows in Biological Systems
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  • 6.03- Introduction to EECS via Medical Technology
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  • 6.033- Computer System Engineering
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  • 6.036- Introduction to Machine Learning
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  • 6.041B- Introduction to Probability II
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  • 6.042- Mathematics for Computer Science
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  • 6.045- Automata, Computability, and Complexity
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  • 6.046- Design and Analysis of Algorithms
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  • 6.207- Networks
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  • 6.241- Dynamic Systems and Control
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  • 6.252- Nonlinear Optimization
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  • 6.431B- Introduction to Probability II
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  • 6.437- Inference and Information
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  • 6.522- Quantitative Systems Physiology
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  • 6.730- Physics for Solid-State Applications
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  • 6.775- CMOS Analog and Mixed-Signal Circuit Design
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  • 6.824- Distributed Computer Systems Engineering
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  • 6.858- Computer Systems Security
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  • 6.862- Introduction to Machine Learning
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  • 6.903- Patents, Copyrights, and the Law of Intellectual Property
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  • 6.S077- Special Subject in Electrical Engineering and Computer Science
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