Explore the exciting concepts, history, and applications of information theory in 24 challenging and eye-opening half-hour lectures taught by a world-renowned physicist.
Overview
Syllabus
- By This Professor
- 01: The Transformability of Information
- 02: Computation and Logic Gates
- 03: Measuring Information
- 04: Entropy and the Average Surprise
- 05: Data Compression and Prefix-Free Codes
- 06: Encoding Images and Sounds
- 07: Noise and Channel Capacity
- 08: Error-Correcting Codes
- 09: Signals and Bandwidth
- 10: Cryptography and Key Entropy
- 11: Cryptanalysis and Unraveling the Enigma
- 12: Unbreakable Codes and Public Keys
- 13: What Genetic Information Can Do
- 14: Life's Origins and DNA Computing
- 15: Neural Codes in the Brain
- 16: Entropy and Microstate Information
- 17: Erasure Cost and Reversible Computing
- 18: Horse Races and Stock Markets
- 19: Turing Machines and Algorithmic Information
- 20: Uncomputable Functions and Incompleteness
- 21: Qubits and Quantum Information
- 22: Quantum Cryptography via Entanglement
- 23: It from Bit: Physics from Information
- 24: The Meaning of Information
Taught by
Benjamin Schumacher