6.01 Introduction to EECS via Robot Sensing, Software and Control
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 be offered this semester (Fall 2017). It is instructed by A. Hartz.
Lecture occurs 9:30 AM to 11:00 AM on Tuesdays in 32-123.
This class counts for a total of 12 credits.
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