}From 1983 to 1986, the legendary physicist and teacher Richard Feynman gave a course at Caltech called Potentialities and Limitations of Computing Machines.Although the lectures are over ten years old, most of the material is timeless and presents a Feynmanesque overview of many standard and some not-so-standard topics in computer science. These include computability, Turing machines (or as Feynman said, Mr. Turings machines), information theory, Shannons Theorem, reversible computation, the thermodynamics of computation, ...
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}From 1983 to 1986, the legendary physicist and teacher Richard Feynman gave a course at Caltech called Potentialities and Limitations of Computing Machines.Although the lectures are over ten years old, most of the material is timeless and presents a Feynmanesque overview of many standard and some not-so-standard topics in computer science. These include computability, Turing machines (or as Feynman said, Mr. Turings machines), information theory, Shannons Theorem, reversible computation, the thermodynamics of computation, the quantum limits to computation, and the physics of VLSI devices. Taken together, these lectures represent a unique exploration of the fundamental limitations of digital computers.Feynmans philosophy of learning and discovery comes through strongly in these lectures. He constantly points out the benefits of playing around with concepts and working out solutions to problems on your own-before looking at the back of the book for the answers. As Feynman says in the lectures: If you keep proving stuff that others have done, getting confidence, increasing complexities of your solutions-for the fun of it-then one day youll turn around and discovers that nobody actually did that one! And thats the way to become a computer scientist. }
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