Languages and Machines: An Introduction to the Theory of Computer Science Thomas A. Sudkamp
Publisher: Addison Wesley

It expects you to be able to program in at least one language and it also helps to have some previous exposure to basic concepts in discrete probability theory (independence, conditional independence, and Bayes' rule). In type theory (and associated logics) there is a thing called “bottom” _|_, which in languages such as Haskell is rendered as “undefined”. En.wikipedia.org/wiki/Bottom_type. That there is no such scheme/device. This book lucidly covers the key concepts and theorems of the theory of computation. Learning any new Introduction +; Automata and Languages +; Context-Free Languages +; Computability Theory +; Complexity Theory +. This book goes into rather impressive depth on some rather abstract concepts of computer science without dabbling for too long in the details. Introductory theoretical computer science is full of proofs that lambda calculus can simulate a Turing machine and vice versa, and a single tape Turing machine can simulate a multi-tape Turing machine etc. It does the best job ever in explaining the Turing machine and how it relates to computability and decidablity. The main idea for this post is to introduce the topic of the Theory of Computer Science. Lastly, Semidecidable languages can be semidecided by turing machine's that halt on any string from the language. Ask a mathematician or a theoretical computer ..