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  3. Television

  4. Science of Information: From Language to Black Holes

TELEVISION

Science of Information: From Language to Black Holes

Series: Great Courses
4.7
(38)
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Episodes
24
Rating
TVPG
Year
2016
Language
English
Publisher
The Great Courses

About

The science of information is the most influential, yet perhaps least appreciated field in science today. Never before have we been able to acquire, record, communicate, and use information in so many different forms. This revolution goes far beyond the limitless content that fills our lives, because information also underlies our understanding of ourselves, the natural world, and the universe.

Related Subjects

  • Educational
  • Science

Episodes

1. The Transformability of Information

30m

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What is information? Explore the surprising answer of American mathematician Claude Shannon, who concluded that information is the ability to distinguish reliably among possible alternatives. Consider why this idea was so revolutionary, and see how it led to the concept of the bit-the basic unit of information.

2. Computation and Logic Gates

30m

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Accompany the young Claude Shannon to the Massachusetts Institute of Technology, where in 1937 he submitted a master's thesis proving that Boolean algebra could be used to simplify the unwieldy analog computing devices of the day. Drawing on Shannon's ideas, learn how to design a simple electronic circuit that performs basic mathematical calculations.

3. Measuring Information

30m

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How is information measured and how is it encoded most efficiently? Get acquainted with a subtle but powerful quantity that is vital to the science of information: entropy. Measuring information in terms of entropy sheds light on everything from password security to efficient binary codes to how to design a good guessing game.

4. Entropy and the Average Surprise

30m

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Intuition says we measure information by looking at the length of a message. But Shannon's information theory starts with something more fundamental: how surprising is the message? Through illuminating examples, discover that entropy provides a measure of the average surprise.

5. Data Compression and Prefix-Free Codes

30m

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Probe the link between entropy and coding. In the process, encounter Shannon's first fundamental theorem, which specifies how far information can be squeezed in a binary code, serving as the basis for data compression. See how this works with a text such as Conan Doyle's The Return of Sherlock Holmes.

6. Encoding Images and Sounds

30m

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Learn how some data can be compressed beyond the minimum amount of information required by the entropy of the source. Typically used for images, music, and video, these techniques drastically reduce the size of a file without significant loss of quality. See how this works in the MP3, JPEG, and MPEG formats.

7. Noise and Channel Capacity

30m

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One of the key issues in information theory is noise: the message received may not convey everything about the message sent. Discover Shannon's second fundamental theorem, which proves that error correction is possible and can be built into a message with only a modest slowdown in transmission rate.

8. Error-Correcting Codes

30m

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Dig into different techniques for error correction. Start with a game called word golf, which demonstrates the perils of mistaking one letter for another and how to guard against it. Then graduate to approaches used for correcting errors in computer operating systems, CDs, and data transmissions from the Voyager spacecraft.

9. Signals and Bandwidth

30m

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Twelve billion miles from Earth, the Voyager spacecraft is sending back data with just a 20-watt transmitter. Make sense of this amazing feat by delving into the details of the Nyquist-Shannon sampling theorem, signal-to-noise ratio, and bandwidth-concepts that apply to many types of communication.

10. Cryptography and Key Entropy

30m

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The science of information is also the science of secrets. Investigate the history of cryptography starting with the simple cipher used by Julius Caesar. See how entropy is a useful measure of the security of an encryption key, and follow the deciphering strategies that cracked early codes.

Extended Details

  • SeriesGreat Courses
  • Closed CaptionsEnglish

Artists

Benjamin SchumacherWriter
Benjamin SchumacherActor