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(2) In future presentations of the research findings, in addition to the course project website and public presentations, your real name and personal information will not appear in this research report. If you are interested in the research results, we can provide you with an executive summary after the study is completed.
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Uedu Open / Information and Entropy
6.050J

Information and Entropy

Prof. Paul Penfield, Prof. Seth Lloyd | Spring 2008
Data Science, Analytics & Computer Technology Computer Science Science & Math Mathematics Engineering Electrical Engineering Computation Signal Processing
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CC BY-NC-SA 4.0
課程簡介
This course explores the ultimate limits to communication and computation, with an emphasis on the physical nature of information and information processing. Topics include: information and computation, digital signals, codes and compression, applications such as biological representations of information, logic circuits, computer architectures, and algorithmic information, noise, probability, error correction, reversible and irreversible operations, physics of computation, and quantum computation. The concept of entropy is applied to channel capacity and to the second law of thermodynamics.
Course Information
SourceMIT 開放式課程
科系Electrical Engineering and Computer Science
LanguageEnglish
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