6.050J / 2.110J Information and Entropy, Spring 2003
Unified 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 form...
| Main Authors: | , |
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| Language: | en-US |
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2003
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| Online Access: | http://hdl.handle.net/1721.1/45591 |
| _version_ | 1811085616445652992 |
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| author | Lloyd, Seth Penfield, Paul |
| author_facet | Lloyd, Seth Penfield, Paul |
| author_sort | Lloyd, Seth |
| collection | MIT |
| description | Unified 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. |
| first_indexed | 2024-09-23T13:12:26Z |
| id | mit-1721.1/45591 |
| institution | Massachusetts Institute of Technology |
| language | en-US |
| last_indexed | 2024-09-23T13:12:26Z |
| publishDate | 2003 |
| record_format | dspace |
| spelling | mit-1721.1/455912019-09-12T16:59:37Z 6.050J / 2.110J Information and Entropy, Spring 2003 Information and Entropy Lloyd, Seth Penfield, Paul computing communications thermodynamics codes compression noise probability reversible operations irreversible operations channel capacity thermodynamic equilibrium temperature maximum-entropy formalism second law of thermodynamics quantum computation biological systems unified theory of information digital signals digital streams bits errors processes inference physical systems energy quantum information 6.050J 2.110J 6.050 2.110 Entropy (Information theory) Unified 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. 2003-06 6.050J-Spring2003 local: 6.050J local: 2.110J local: IMSCP-MD5-0484a9ff1bd2f5a1168c64c3707e555c http://hdl.handle.net/1721.1/45591 en-US Usage 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. text/html Spring 2003 |
| spellingShingle | computing communications thermodynamics codes compression noise probability reversible operations irreversible operations channel capacity thermodynamic equilibrium temperature maximum-entropy formalism second law of thermodynamics quantum computation biological systems unified theory of information digital signals digital streams bits errors processes inference physical systems energy quantum information 6.050J 2.110J 6.050 2.110 Entropy (Information theory) Lloyd, Seth Penfield, Paul 6.050J / 2.110J Information and Entropy, Spring 2003 |
| title | 6.050J / 2.110J Information and Entropy, Spring 2003 |
| title_full | 6.050J / 2.110J Information and Entropy, Spring 2003 |
| title_fullStr | 6.050J / 2.110J Information and Entropy, Spring 2003 |
| title_full_unstemmed | 6.050J / 2.110J Information and Entropy, Spring 2003 |
| title_short | 6.050J / 2.110J Information and Entropy, Spring 2003 |
| title_sort | 6 050j 2 110j information and entropy spring 2003 |
| topic | computing communications thermodynamics codes compression noise probability reversible operations irreversible operations channel capacity thermodynamic equilibrium temperature maximum-entropy formalism second law of thermodynamics quantum computation biological systems unified theory of information digital signals digital streams bits errors processes inference physical systems energy quantum information 6.050J 2.110J 6.050 2.110 Entropy (Information theory) |
| url | http://hdl.handle.net/1721.1/45591 |
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