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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, codes and compression, applications such as biological representations of information. Along with these, logic circuits, computer architectures, noise, probability, error correction, and quantum computation. The concept of entropy applied to channel capacity and to the second law of thermodynamics.

Assessment

This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.

Certification

Edukite courses are free to study. To successfully complete a course you must submit all the assignment of the course as part of the assessment. Upon successful completion of a course, you can choose to make your achievement formal by obtaining your Certificate at a cost of £49.

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Course Credit: MIT

Course Curriculum

Module 01
Bits and Codes 01:44:00
Compression 03:00:00
Noise and Errors 02:00:00
Probability 01:53:00
Probability for Life Science, Lecture 28, Math 3C, UCLA 00:45:00
Communications 01:50:00
Communications Lecture 2 01:48:00
Processes 01:47:00
Inference 01:52:00
Inference Lecture 2 01:48:00
Module 02
Maximum Entropy 01:42:00
Maximum Entropy Lecture 2 01:49:00
Physical Systems 01:51:00
Physical Systems Lecture 3 01:46:00
Energy 01:52:00
Energy Lecture 2 01:48:00
Temperature 02:00:00
Temperature Lecture 2 02:00:00
Quantum Information 01:48:00
Assessment
Submit Your Assignment 00:00:00
Certification 00:00:00

Course Reviews

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