Information Theory
This topic is about how messages survive noise and compression.
Explore the main idea
Placeholder text: this section will explain how the main tool works, what the user can change, and what they should notice as the visual responds.
Placeholder text: this section will connect the tool back to the wider topic, showing how the same mathematical idea appears in related projects and real situations.
About this topic
Information theory studies messages, uncertainty, compression, noise and how communication can be made reliable.
This strand should make invisible digital ideas tangible: bits, noise, compression and trust become things students can play with.
Explore this through entropy, surprise and predictability, compression and representing information efficiently, noisy channels and communication limits.
Further exploration
Look up: Shannon entropy
Explore next: error-correcting codes
Try searching for: compression and information theory