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This easy-to-follow textbook introduces the mathematical language, knowledge and problem-solving skills that undergraduates need to study computing. The language is in part qualitative, with concepts such as set, relation, function and recursion/induction; but it is also partly quantitative, with principles of counting and finite probability. Entwined with both are the fundamental notions of logic and their use for representation and proof. Features: teaches finite math as a language for thinking, as much as knowledge and skills to be acquired; uses an intuitive approach with a focus on examples for all general concepts; brings out the interplay between the qualitative and the quantitative in all areas covered, particularly in the treatment of recursion and induction; balances carefully the abstract and concrete, principles and proofs, specific facts and general perspectives; includes highlight boxes that raise common queries and clear confusions; provides numerous exercises, with selected solutions.
This book provides an introduction to the essential concepts in programming languages, using operational semantics techniques. It presents alternative programming language paradigms and gives an in-depth analysis of the most significant constructs in modern imperative, functional and logic programming languages. The book is designed to accompany lectures on programming language design for undergraduate students. Each chapter includes exercises which provide the opportunity to apply the concepts and techniques presented.
Der Turing Omnibus macht in 66 exzellent geschriebenen Beiträgen Station bei den interessantesten Themen aus der Informatik, der Computertechnologie und ihren Anwendungen.
Mathematical Foundations of Computer Science, Volume I is the first of two volumes presenting topics from mathematics (mostly discrete mathematics) which have proven relevant and useful to computer science. This volume treats basic topics, mostly of a set-theoretical nature (sets, functions and relations, partially ordered sets, induction, enumerability, and diagonalization) and illustrates the usefulness of mathematical ideas by presenting applications to computer science. Readers will find useful applications in algorithms, databases, semantics of programming languages, formal languages, theory of computation, and program verification. The material is treated in a straightforward, systematic, and rigorous manner. The volume is organized by mathematical area, making the material easily accessible to the upper-undergraduate students in mathematics as well as in computer science and each chapter contains a large number of exercises. The volume can be used as a textbook, but it will also be useful to researchers and professionals who want a thorough presentation of the mathematical tools they need in a single source. In addition, the book can be used effectively as supplementary reading material in computer science courses, particularly those courses which involve the semantics of programming languages, formal languages and automata, and logic programming.
Das Buch macht den Leser mit den wesentlichen Teilgebieten der formalen Logik vertraut, die Bestandteil der Ausbildung in Theoretischer Informatik sind. Die Darstellung orientiert sich an den Bedürfnissen von Informatikstudierenden. Insbesondere werden viele mehr auf das Prinzipielle ausgerichtete Resultate der formalen Logik unter einem algorithmischen Gesichtspunkt behandelt. Diese Vorgehensweise erleichtert entscheidend den Zugang zu dem abstrakten Themengebiet. Prof. Schöning gelingt eine kompakte und verständliche Darstellung der Aussagen- und Prädikatenlogik, bei der die benötigten Begriffe präzise eingeführt und durch Beispiele veranschaulicht werden. Darauf beruhend werden Anwendungen der Logik in der Informatik, wie z. B. Resolution, Automatisches Beweisen und Logik-Programmierung behandelt. Zahlreiche Übungsaufgaben mit ausführlichen Lösungshinweisen erleichtern die Vertiefung des Lernstoffes.

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