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Course Info

  • Course Number / Code:
  • 2.110J (Spring 2008) 
  • Course Title:
  • Information and Entropy 
  • Course Level:
  • Undergraduate 
  • Offered by :
  • Massachusetts Institute of Technology (MIT)
    Massachusetts, United States  
  • Department:
  • Electrical Engineering and Computer Science 
  • Course Instructor(s):
  • Prof. Seth Lloyd
    Prof. Paul Penfield 
  • Course Introduction:
  •  


  • 6.050J / 2.110J Information and Entropy



    Spring 2008




    Course Highlights


    This course features an updated version of the course text, and a large collection of online and print resources for each unit.


    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.


    Technical Requirements


    Special software is required to use some of the files in this course: .ps.

     

ACKNOWLEDGEMENT:
This course content is a redistribution of MIT Open Courses. Access to the course materials is free to all users.






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