2 Classes (24 Units)

6.01 (12), 8.02 (12)

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6.01 Introduction to EECS via Robotics

Class Info

An integrated introduction to electrical engineering and computer science, taught using substantial laboratory experiments with mobile robots. Key issues in the design of engineered artifacts operating in the natural world: measuring and modeling system behaviors; assessing errors in sensors and effectors; specifying tasks; designing solutions based on analytical and computational models; planning, executing, and evaluating experimental tests of performance; refining models and designs. Issues addressed in the context of computer programs, control systems, probabilistic inference problems, circuits and transducers, which all play important roles in achieving robust operation of a large variety of engineered systems.

This class has 6.0001 as a prerequisite.

6.01 will not be offered this semester. It will be instructed by A. Hartz.

Lecture occurs 9:30 AM to 11:00 AM on Tuesdays in 4-270.

This class counts for a total of 12 credits.

You can find more information at the MIT + 6.01 - Google Search site.

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8.02 Physics II

Class Info

Introduction to electromagnetism and electrostatics: electric charge, Coulomb's law, electric structure of matter; conductors and dielectrics. Concepts of electrostatic field and potential, electrostatic energy. Electric currents, magnetic fields and Ampere's law. Magnetic materials. Time-varying fields and Faraday's law of induction. Basic electric circuits. Electromagnetic waves and Maxwell's equations. Subject taught using the TEAL (Technology Enabled Active Learning) studio format which utilizes small group interaction and current technology to help students develop intuition about, and conceptual models of, physical phenomena.

This class has 18.01, and 8.01 as prerequisites.

8.02 will be offered this semester (Spring 2019). It is instructed by N. Gedik, M. Tegmark, P. Dourmashkin and R. Redwine.

Lecture occurs 1:00 PM to 3:00 PM on Tuesdays and Thursdays in 26-152.

This class counts for a total of 12 credits.

You can find more information at the MIT + 8.02 - Google Search site or on the 8.02 Stellar site.

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