Lectures related to Information in Networked Systems: Functional Representation and Data Compression

Covers the application of entropy in algorithms, focusing on sorting and decision-making strategies.

Concludes Module II by presenting two theories on optimal signal representation.

Introduces information encoding through compression, error correction, and cryptography, with interactive gameplay on data security and encryption.

Introduces information theory basics, including entropy, independence, and binary entropy function.