Information and Entropy – MIT 6.050J and 2.110J

This 2008 MIT OpenCourseWare course provides guidance on the ultimate limits to communication and computation, with an emphasis on the physical nature of information and information processing.

Learning Objectives

The learning objectives for this course are not clearly stated on the MIT OpenCourseWare site.

The site only mentions covered topics, including information and computation, digital signals, codes and compression, applications such as biological representations of information, logic circuits, computer architectures, algorithmic information, noise, probability, error correction, reversible and irreversible operations, physics of computation, and quantum computation.

Course Organization

Due to technical difficulties at MIT, not all the lecture videos for this course are available.

The course is based on 13 lectures, each associated with one or more chapters of the professor's self-organized textbook. The course also includes problem sets assigned with each lecture, the ones associated with this course originating from 2003. Finally, a quiz during session nine and a final exam during session 14 are included.

Further Reading

The recommended reading for the course is the professor's self-organized textbook, found here. Additional recommended reading is available from session to session and is included in each session section.

Other Requirements

No other requirements are stated for this course.

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