Description

Book Synopsis

This clearly written textbook presents an accessible introduction to discrete mathematics for computer science students, offering the reader an enjoyable and stimulating path to improve their programming competence. The text empowers students to think critically, to be effective problem solvers, to integrate theory and practice, and to recognize the importance of abstraction. Its motivational and interactive style provokes a conversation with the reader through a questioning commentary, and supplies detailed walkthroughs of several algorithms.

This updated and enhanced new edition also includes new material on directed graphs, and on drawing and coloring graphs, in addition to more than 100 new exercises (with solutions to selected exercises).

Topics and features: assumes no prior mathematical knowledge, and discusses concepts in programming as and when they are needed; designed for both classroom use and self-study, presenting modular and self-contained chapters that follow ACM curriculum recommendations; describes mathematical processes in an algorithmic manner, often supported by a walkthrough demonstrating how the algorithm performs the desired task; includes an extensive set of exercises throughout the text, together with numerous examples, and shaded boxes highlighting key concepts; selects examples that demonstrate a practical use for the concept in question.

Students embarking on the start of their studies of computer science will find this book to be an easy-to-understand and fun-to-read primer, ideal for use in a mathematics course taken concurrently with their first programming course.



Table of Contents

Algorithms, Numbers and Machines

Sets, Sequences and Counting

Boolean Expressions, Logic and Proof

Searching and Sorting

Graphs and Trees

Relations: Especially on (Integer) Sequences

Sequences and Series

Generating Sequences and Subsets

Discrete Probability and Average Case Complexity

Turing Machines

Fundamentals of Discrete Math for Computer Science: A Problem-Solving Primer

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    £27.99

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    Order before 4pm tomorrow for delivery by Thu 18 Jun 2026.

    A Paperback by Tom Jenkyns, Ben Stephenson

    15 in stock


      View other formats and editions of Fundamentals of Discrete Math for Computer Science: A Problem-Solving Primer by Tom Jenkyns

      Publisher: Springer International Publishing AG
      Publication Date: 08/05/2018
      ISBN13: 9783319701509, 978-3319701509
      ISBN10: 3319701509

      Description

      Book Synopsis

      This clearly written textbook presents an accessible introduction to discrete mathematics for computer science students, offering the reader an enjoyable and stimulating path to improve their programming competence. The text empowers students to think critically, to be effective problem solvers, to integrate theory and practice, and to recognize the importance of abstraction. Its motivational and interactive style provokes a conversation with the reader through a questioning commentary, and supplies detailed walkthroughs of several algorithms.

      This updated and enhanced new edition also includes new material on directed graphs, and on drawing and coloring graphs, in addition to more than 100 new exercises (with solutions to selected exercises).

      Topics and features: assumes no prior mathematical knowledge, and discusses concepts in programming as and when they are needed; designed for both classroom use and self-study, presenting modular and self-contained chapters that follow ACM curriculum recommendations; describes mathematical processes in an algorithmic manner, often supported by a walkthrough demonstrating how the algorithm performs the desired task; includes an extensive set of exercises throughout the text, together with numerous examples, and shaded boxes highlighting key concepts; selects examples that demonstrate a practical use for the concept in question.

      Students embarking on the start of their studies of computer science will find this book to be an easy-to-understand and fun-to-read primer, ideal for use in a mathematics course taken concurrently with their first programming course.



      Table of Contents

      Algorithms, Numbers and Machines

      Sets, Sequences and Counting

      Boolean Expressions, Logic and Proof

      Searching and Sorting

      Graphs and Trees

      Relations: Especially on (Integer) Sequences

      Sequences and Series

      Generating Sequences and Subsets

      Discrete Probability and Average Case Complexity

      Turing Machines

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