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Information and Entropy As taught in: Spring 2008 The Morse telegraph. (Image courtesy of the U.S. National Library of Medicine.) Instructors: Prof. Paul Penfield Prof. Seth Lloyd MIT Course Number: 6.050J / 2.110J Level: Undergraduate 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. Syllabus Course Meeting Times 2 sessions / week, 2 hours / session Prerequisites Physics I: Classical Mechanics (8.01, 8.012, 8.01L, 8.01T, or advanced standing credit) General Information This subject is designed for MIT freshmen. Academic credit of 9 units (less than that given by a typical MIT subject) is provided. Spring 2008 is the sixth offering of this subject. It was offered in Spring 2003, 2004, 2005, 2006, 2007 and, before then, three times while being developed, under another number, in Spring 2000, 2001, and 2002. This subject is offered jointly by the Department of Electrical Engineering and Computer Science, and the Department of Mechanical Engineering. Students may sign up for either 2.110J or 6.050J. Text The course is taught from a set of notes written by Prof. Penfield, developed over several years of teaching this course. Each week these readings are supplemented by a plethora of online and print resources. (PDF - 4.4 MB) Assignments Problem sets are not distributed. Instead, homework problems are described and assigned in class. In some cases, solutions are provided after the
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