6.050 Information, Entropy, and Computation
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. Biological representations of information. Logic circuits, computer architectures, and algorithmic information. Noise, probability, and error correction. The concept of entropy applied to channel capacity and to the second law of thermodynamics. Reversible and irreversible operations and the physics of computation. Quantum computation.
This class has 8.01 as a prerequisite.
Lecture occurs 7:00 PM to 9:30 PM on Wednesdays in 1-136.
This class counts for a total of 9 credits.
You can find more information at the http://www.google.com/search?&q=MIT+%2B+6.050&btnG=Google+Search&inurl=https site.
© Copyright 2015 Yasyf Mohamedali