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Further Reading > Theoretical Computer Science
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Theoretical Computer Science Theoretical computer science is all about understanding what computers are, and what problems they're capable of solving. For example, many governments are worried about the ease with which information can be encrypted and sent across national boundaries using email - but why is it possible to encrypt information in the first place? Why is one type of encryption far harder to crack than another? How do we even measure how good a cryptosystem is? Or perhaps you've been asked to write a program that will sort a huge list of entries alphabetically. There are lots of ways to do this, and some always seem to work faster than others. But why? And does it depend on how long the original list is? Would it help if you had ten computers working on the list at the same time, or would they simply get tangled up waiting for each other to finish their particular bit of the puzzle? The books listed here address everything from lambda calculus and operator systems to complexity theory and algorithmics. Learn about distributed and concurrent systems, neural networks, computational semantics, Turing machines, recursive number theory ... and a whole lot more besides.