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6.050J / 2.110J Information and Entropy, Spring 2003

dc.contributor.authorLloyd, Sethen_US
dc.contributor.authorPenfield, Paulen_US
dc.coverage.temporalSpring 2003en_US
dc.date.issued2003-06
dc.identifier6.050J-Spring2003
dc.identifierlocal: 6.050J
dc.identifierlocal: 2.110J
dc.identifierlocal: IMSCP-MD5-0484a9ff1bd2f5a1168c64c3707e555c
dc.identifier.urihttp://hdl.handle.net/1721.1/45591
dc.description.abstractUnified theory of information with applications to computing, communications, thermodynamics, and other sciences. Digital signals and streams, codes, compression, noise, and probability. Reversible and irreversible operations. Information in biological systems. Channel capacity. Maximum-entropy formalism. Thermodynamic equilibrium, temperature. The Second Law of Thermodynamics. Quantum computation. From the course home page: Course Description 6.050J / 2.110J presents the unified theory of information with applications to computing, communications, thermodynamics, and other sciences. It covers digital signals and streams, codes, compression, noise, and probability, reversible and irreversible operations, information in biological systems, channel capacity, maximum-entropy formalism, thermodynamic equilibrium, temperature, the Second Law of Thermodynamics, and quantum computation. Designed for MIT freshmen as an elective, this course has been jointly developed by MIT's Departments of Electrical Engineering and Computer Science and Mechanical Engineering. There is no known course similar to 6.050J / 2.110J offered at any other university.en_US
dc.languageen-USen_US
dc.relationen_US
dc.rights.uriUsage Restrictions: This site (c) Massachusetts Institute of Technology 2003. 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"). 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.en_US
dc.subjectcomputingen_US
dc.subjectcommunicationsen_US
dc.subjectthermodynamicsen_US
dc.subjectcodesen_US
dc.subjectcompressionen_US
dc.subjectnoiseen_US
dc.subjectprobabilityen_US
dc.subjectreversible operationsen_US
dc.subjectirreversible operationsen_US
dc.subjectchannel capacityen_US
dc.subjectthermodynamic equilibriumen_US
dc.subjecttemperatureen_US
dc.subjectmaximum-entropy formalismen_US
dc.subjectsecond law of thermodynamicsen_US
dc.subjectquantum computationen_US
dc.subjectbiological systemsen_US
dc.subjectunified theory of informationen_US
dc.subjectdigital signalsen_US
dc.subjectdigital streamsen_US
dc.subjectbitsen_US
dc.subjecterrorsen_US
dc.subjectprocessesen_US
dc.subjectinferenceen_US
dc.subjectphysical systemsen_US
dc.subjectenergyen_US
dc.subjectquantum informationen_US
dc.subject6.050Jen_US
dc.subject2.110Jen_US
dc.subject6.050en_US
dc.subject2.110en_US
dc.subjectEntropy (Information theory)en_US
dc.title6.050J / 2.110J Information and Entropy, Spring 2003en_US
dc.title.alternativeInformation and Entropyen_US


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