Lectures related to Introduction: Course Structure and Fundamentals of Computing

Discusses conditional entropy and its role in data compression techniques.

Covers the basics of information theory and its applications in various fields.

Emphasizes the significance of vector spaces in signal processing, offering a unified framework for various signal types and system design.

Explores Claude Shannon's contributions to information theory and efficient communication and storage methods.

Covers source coding theorems, entropy, and various source models in information theory.