This video is the third of three lectures in this unit. The second lecture of this unit is missing due to technical reasons.

Instructors: Prof. Paul Penfield, Prof. Seth Lloyd

1. Bits and Codes: Lecture II
2. Compression: Lecture I
3. Noise and Errors: Lecture II
4. Probability: Lecture I
5. Probability: Lecture II
6. Communications: Lecture I
7. Communications: Lecture II
8. Processes: Lecture I
9. Inference: Lecture I
10. Inference: Lecture II
11. Maximum Entropy: Lecture I
12. Maximum Entropy: Lecture II
13. Physical Systems: Lecture I
14. Physical Systems: Lecture III
15. Energy: Lecture I
16. Energy: Lecture II
17. Temperature: Lecture I
18. Temperature: Lecture II
19. Quantum Information: Lecture I

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.