Information and Entropy is a textbook that bridges the gap between computer science, communications, and classical physics. It covers basic digital bits, coding, and noise to the complex worlds of biological systems and quantum mechanics.

Key Topics

• The fundamentals of data
• The physics of computation
• DNA and quantum computing
• Bits, morse code, compression
• Case studies

Author: Professor Paul Penfield Jr.