6.050J / 2.110J Information and Entropy, Spring 2003
Name
6-050JSpring-2003/OcwWeb/Electrical-Engineering-and-Computer-Science/6-050JInformation-and-EntropySpring2003/CourseHome/index.htm
Size
16.28 KB
Format
HTML
Checksum (MD5)
426464df5487119ea15ad79d26372d04
Author(s)
Lloyd, Seth
Penfield, Paul
Alternative Title
Information and Entropy
Date Issued
June 2003
Abstract
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.
Subjects
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)
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
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