Information and Entropy

Paul Jr., Seth Lloyd
MIT

Course Description

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 applied to channel capacity and to the second law of thermodynamics.

Video Lectures

Information and Entropy: Unit 6: Processes, MIT 6.050J (Lecture 8 of 19)

on Dec 07, 2011
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Information and Entropy: Unit 7: Inference, MIT 6.050J (Lecture 9 of 19)

on Dec 07, 2011
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