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6.01 Introduction to Electrical Engineering and Computer Science I, Fall 2009

Author(s)
Kaelbling, Leslie; Abelson, Harold; Freeman, Dennis; Lozano-Pérez, Tomás; White, Jacob
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Download6-01-fall-2009/contents/index.htm (16.33Kb)
Alternative title
Introduction to Electrical Engineering and Computer Science I
Terms of use
Usage Restrictions: This site (c) Massachusetts Institute of Technology 2012. Content within individual courses is (c) by the individual authors unless otherwise noted. The Massachusetts Institute of Technology is providing this Work (as defined below) under the terms of this Creative Commons public license ("CCPL" or "license") unless otherwise noted. The Work is protected by copyright and/or other applicable law. Any use of the work other than as authorized under this license is prohibited. By exercising any of the rights to the Work provided here, You (as defined below) accept and agree to be bound by the terms of this license. The Licensor, the Massachusetts Institute of Technology, grants You the rights contained here in consideration of Your acceptance of such terms and conditions.
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Abstract
6.01 explores fundamental ideas in electrical engineering and computer science, in the context of working with mobile robots. Key engineering principles, such as abstraction and modularity, are applied in the design of computer programs, electronic circuits, discrete-time controllers, and noisy and/or uncertain systems.
Date issued
2009-12
URI
http://hdl.handle.net/1721.1/75002
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Other identifiers
6.01-Fall2009
local: 6.01
local: IMSCP-MD5-93115d58d0eed71160d77d23685524ea
Keywords
robots, python, computer programs, circuits, systems, inheritance, recursion, functional programming, signals, control, circuit abstractions, probability, discrete probability, search algorithms, state machines, probabilistic state estimation, decision-making, search, python robots

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