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

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An understanding of discrete mathematics is essential for students of computer science wishing to improve their programming competence. Fundamentals of Discrete Math for Computer Science provides an engaging and motivational introduction to traditional topics in discrete mathematics, in a manner specifically designed to appeal to computer science students. The text empowers An understanding of discrete mathematics is essential for students of computer science wishing to improve their programming competence. Fundamentals of Discrete Math for Computer Science provides an engaging and motivational introduction to traditional topics in discrete mathematics, in a manner specifically designed to appeal to computer science students. The text empowers students to think critically, to be effective problem solvers, to integrate theory and practice, and to recognize the importance of abstraction. Clearly structured and interactive in nature, the book presents detailed walkthroughs of several algorithms, stimulating a conversation with the reader through informal commentary and provocative questions. Topics and features: highly accessible and easy to read, introducing concepts in discrete mathematics without requiring a university-level background in mathematics; ideally structured for classroom-use and self-study, with modular chapters following ACM curriculum recommendations; describes mathematical processes in an algorithmic manner, often including a walk-through demonstrating how the algorithm performs the desired task as expected; contains examples and exercises throughout the text, and highlights the most important concepts in each section; selects examples that demonstrate a practical use for the concept in question. This easy-to-understand and fun-to-read textbook is ideal for an introductory discrete mathematics course for computer science students at the beginning of their studies. The book assumes no prior mathematical knowledge, and discusses concepts in programming as needed, allowing it to be used in a mathematics course taken concurrently with a student's first programming course.


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An understanding of discrete mathematics is essential for students of computer science wishing to improve their programming competence. Fundamentals of Discrete Math for Computer Science provides an engaging and motivational introduction to traditional topics in discrete mathematics, in a manner specifically designed to appeal to computer science students. The text empowers An understanding of discrete mathematics is essential for students of computer science wishing to improve their programming competence. Fundamentals of Discrete Math for Computer Science provides an engaging and motivational introduction to traditional topics in discrete mathematics, in a manner specifically designed to appeal to computer science students. The text empowers students to think critically, to be effective problem solvers, to integrate theory and practice, and to recognize the importance of abstraction. Clearly structured and interactive in nature, the book presents detailed walkthroughs of several algorithms, stimulating a conversation with the reader through informal commentary and provocative questions. Topics and features: highly accessible and easy to read, introducing concepts in discrete mathematics without requiring a university-level background in mathematics; ideally structured for classroom-use and self-study, with modular chapters following ACM curriculum recommendations; describes mathematical processes in an algorithmic manner, often including a walk-through demonstrating how the algorithm performs the desired task as expected; contains examples and exercises throughout the text, and highlights the most important concepts in each section; selects examples that demonstrate a practical use for the concept in question. This easy-to-understand and fun-to-read textbook is ideal for an introductory discrete mathematics course for computer science students at the beginning of their studies. The book assumes no prior mathematical knowledge, and discusses concepts in programming as needed, allowing it to be used in a mathematics course taken concurrently with a student's first programming course.

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

  1. 4 out of 5

    Mark

    I find this book to contain some unnecessary departures from common mathematical representations that are incredibly frustrating. For example, the author defines "the positive integers," "the nonnegative integers," and "all integers" as sets to introduce set notation. However, for reasons I cannot really understand, the author uses P instead of N for the natural numbers (positive integers), and N instead of W for the whole umbers (nonnegative integers), despite N and W being commonly used to deno I find this book to contain some unnecessary departures from common mathematical representations that are incredibly frustrating. For example, the author defines "the positive integers," "the nonnegative integers," and "all integers" as sets to introduce set notation. However, for reasons I cannot really understand, the author uses P instead of N for the natural numbers (positive integers), and N instead of W for the whole umbers (nonnegative integers), despite N and W being commonly used to denote these sets. He does, thankfully, use Z to represent the integers. Another minor, yet frustrating, detail comes from this same section. The author defines the set D={x: x is a number that can be displayed on my calculator}, and proceeds to state that D is a subset of Q (the rational numbers), ignoring that the majority of modern scientific and graphing calculators have no issue displaying irrational numbers such as π. While this is a minor detail, the book is absolutely riddled with them. These small details can lead to confusion, which is something that should be avoided in a textbook. Precision in language is something I expect from my students, it is something I expect even more attention to from my textbooks.

  2. 5 out of 5

    Jeremiah Bassi

  3. 4 out of 5

    Mikaila Williams

  4. 5 out of 5

    Gabriel Chen

  5. 5 out of 5

    Peter

  6. 4 out of 5

    Tumitho Steven

  7. 5 out of 5

    jeffrey rollins

  8. 5 out of 5

    Qwerty

  9. 5 out of 5

    Ben

  10. 4 out of 5

    K

  11. 4 out of 5

    Péricles Dantas

  12. 5 out of 5

    Dan

  13. 4 out of 5

    Karl

  14. 5 out of 5

    Jennifer James

  15. 5 out of 5

    Stefan

  16. 4 out of 5

    K.

  17. 4 out of 5

    zhouhang shao

  18. 4 out of 5

    Harithnorzan95

  19. 5 out of 5

    Arun

  20. 4 out of 5

    عبدالله

  21. 5 out of 5

    Nitin Kumar

  22. 5 out of 5

    Tiam Moradi

  23. 4 out of 5

    Δημήτρης Κόκκινος

  24. 4 out of 5

    Wendelle

  25. 5 out of 5

    ADW

  26. 4 out of 5

    Ashley Sands

  27. 5 out of 5

    Mehrdad

  28. 4 out of 5

    Marts (Thinker)

  29. 5 out of 5

    Kompanydavid

  30. 5 out of 5

    Joe

  31. 5 out of 5

    Miguel Paraz

  32. 5 out of 5

    Martin Petersen

  33. 5 out of 5

    غداف

  34. 4 out of 5

    Tenzing

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