Description

This textbook contains the mathematics needed to study computer science in application-oriented computer science courses. The content is based on the author's many years of teaching experience.

The translation of the original German 7th edition Mathematik für Informatiker by Peter Hartmann was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.

Textbook Features

  • You will always find applications to computer science in this book.
  • Not only will you learn mathematical methods, you will gain insights into the ways of mathematical thinking to form a foundation for understanding computer science.
  • Proofs are given when they help you learn something, not for the sake of proving.

Mathematics is initially a necessary evil for many students. The author explains in each lesson how students can apply what they have learned by giving many real world examples, and by constantly cross-referencing math and computer science. Students will see how math is not only useful, but can be interesting and sometimes fun.

The Content

  • Sets, logic, number theory, algebraic structures, cryptography, vector spaces, matrices, linear equations and mappings, eigenvalues, graph theory.
  • Sequences and series, continuous functions, differential and integral calculus, differential equations, numerics.
  • Probability theory and statistics.

The Target Audiences

Students in all computer science-related coursework, and independent learners.

Mathematics for Computer Scientists: A Practice-Oriented Approach

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£59.99

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Paperback / softback by Peter Hartmann

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Short Description:

This textbook contains the mathematics needed to study computer science in application-oriented computer science courses. The content is based on... Read more

    Publisher: Springer
    Publication Date: 31/08/2023
    ISBN13: 9783658404222, 978-3658404222
    ISBN10: 3658404221

    Number of Pages: 590

    Non Fiction , Computing

    Description

    This textbook contains the mathematics needed to study computer science in application-oriented computer science courses. The content is based on the author's many years of teaching experience.

    The translation of the original German 7th edition Mathematik für Informatiker by Peter Hartmann was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.

    Textbook Features

    • You will always find applications to computer science in this book.
    • Not only will you learn mathematical methods, you will gain insights into the ways of mathematical thinking to form a foundation for understanding computer science.
    • Proofs are given when they help you learn something, not for the sake of proving.

    Mathematics is initially a necessary evil for many students. The author explains in each lesson how students can apply what they have learned by giving many real world examples, and by constantly cross-referencing math and computer science. Students will see how math is not only useful, but can be interesting and sometimes fun.

    The Content

    • Sets, logic, number theory, algebraic structures, cryptography, vector spaces, matrices, linear equations and mappings, eigenvalues, graph theory.
    • Sequences and series, continuous functions, differential and integral calculus, differential equations, numerics.
    • Probability theory and statistics.

    The Target Audiences

    Students in all computer science-related coursework, and independent learners.

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