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Mathematical Structures for Computer Science (7th Edition)

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WH Freeman

Pages: 816
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Hardcover - 9781429215107

01 January 2014

€90.99

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Mathematical Structures for Computer Science, written by Judith L. Gersting, is a vital textbook for computer science undergraduate students, which helps to introduce readers to the maths behind computing. This textbook has...

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Mathematical Structures for Computer Science, written by Judith L. Gersting, is a vital textbook for computer science undergraduate students, which helps to introduce readers to the maths behind computing. This textbook has long been much loved and acclaimed for its clear, concise presentation of essential concepts and its exceptional range of applications relevant to computer science majors.

This new edition made the textbook the first discrete mathematics textbook to be revised in order to meet the proposed new ACM/IEEE standards of the course. It features new material, including new sections on probability, coding theory, matrices and order of magnitude. It also includes roughly 30% more exercises and examples, further aiding students’ learning of this complex subject underpinning the field of computing.

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  • New content to for this edition includes new coverage of probability, coding theory, matrices and order of magnitude.
  • The new edition has been revised so that it fits with the Draft of the ACM/IEEE Computer Science Curriculum 2013, meaning it can fit neatly into an instructor's existing curriculum.
  • Each chapter features a special interest topic that highlights the practical relevance of a specific concept.
  • 30% more examples, practice problems, and exercises have been added to the book, helping reinforce students learning.
  • The examples in the textbook have been updated in order to reflect current data and to demonstrate the role mathematics and computer science in a wide range of disciplines
  • Answers to odd numbered exercises are now in the back of the book.

  • New material is guided by the Draft of the ACM/IEEE Computer Science Curriculum 2013. Content updates include new sections on probability, coding theory, order of magnitude and matrices.
  • Each chapter now features a special interest topic that highlights the practical relevance of a specific concept.
  • Examples have been updated to reflect current data and to demonstrate the role mathematics and computer science in a wide range of disciplines.

1. Formal Logic
2. Proofs, Recursion, and Analysis of Algorithms
3. Sets, Combinatorics, Probability, and Number Theory
4. Relations, Functions, and Matrices
5. Graphs and Trees
6. Graph Algorithms
7. Boolean Algebra and Computer Logic
8. Modeling Arithmetic, Computation, and Languages.

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Judith Gersting, now retired, taught at the Computer Science and Engineering Department at the University of Hawaii at Hilo on the Big Island. She has received NSF computer science education grants and has served on NSF grant review panels in computer science education. She is the author of several college-level textbooks in mathematics and computer science.

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Judith Gersting, now retired, taught at the Computer Science and Engineering Department at the University of Hawaii at Hilo on the Big Island. She has received NSF computer science education grants and has served on NSF grant review panels in computer science education. She is the author of several college-level textbooks in mathematics and computer science.

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