Moller F., Struth G. Modelling Computing Systems: Mathematics for Computer Science

L.: Springer, 2013.- 500 p.This engaging text presents the fundamental mathematics and modeling techniques for computing systems in a novel and light-hearted way, which can be easily followed by students at the very beginning of their university education. Key concepts are taught through a large collection of challenging yet fun mathematical games and logical puzzles that require no prior knowledge about computers. The text begins with intuition and examples as a basis from which precise concepts are then developed; demonstrating how, by working within the confines of a precise structured method, the occurrence of errors in the system can be drastically reduced. Features: demonstrates how game theory provides a paradigm for an intuitive understanding of the nature of computation; contains more than 400 exercises throughout the text, with detailed solutions to half of these presented at the end of the book, together with numerous theorems, definitions and examples; describes a modeling approach based on state transition systems.Propositional Logic
Sets
Boolean Algebras and Circuits
Predicate Logic
Proof Strategies
Functions
Relations
Inductive and Recursive Definitions
Proofs by Induction
Games and StrategiesModeling Processes
Distinguishing Between Processes
Logical Properties of Processes
Concurrent Processes
Temporal Properties