Mathematics for Computer Scientists: A Practice-Oriented Approach

This textbook is a comprehensive resource for students studying computer science, covering a range of mathematical topics essential for understanding computer science applications. It was translated from the German 7th edition and revised by humans, with a focus on providing real-world examples and cross-referencing math and computer science. The target audiences include students in computer science-related coursework and independent learners.

Format: Paperback / softback
Length: 590 pages
Publication date: 11 August 2023
Publisher: Springer

This comprehensive textbook serves as a vital resource for students pursuing computer science in application-oriented courses. Authored by an experienced educator with extensive teaching expertise, the content is rooted in the author's extensive teaching experience. The meticulous translation of the original German 7th edition Mathematik für Informatiker by Peter Hartmann was accomplished with the aid of artificial intelligence, followed by a thorough human revision primarily focused on content enhancement.

The textbook offers a wealth of features designed to enhance the learning experience. It consistently applies computer science concepts to real-world scenarios, enabling students to grasp mathematical methods while gaining insights into the mathematical thinking that forms the foundation of computer science. Proofs are provided strategically to aid in learning, rather than for the sake of mere demonstration.

Recognizing that mathematics can initially be perceived as a necessary evil by many students, the author employs a pedagogical approach that helps students see the practical applications of mathematics. Each lesson includes numerous real-world examples and cross-references between math and computer science, demonstrating how math is not only useful but also intriguing and enjoyable.

The textbook covers a wide range of mathematical topics, including 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. It caters to students enrolled in various computer science-related coursework and serves as an excellent resource for independent learners.

With its comprehensive coverage, engaging presentation, and practical applications, this textbook is an invaluable tool for anyone seeking to excel in computer science and related fields.

Weight: 1005g
Dimension: 240 x 168 (mm)
ISBN-13: 9783658404222
Edition number: 1st ed. 2023