Undergraduate Topics in Computer Science Sets, Logic and Maths for Computing, (Paperback)
This easy-to-understand textbook introduces the mathematical language and problem-solving tools essential to anyone wishing to enter the world of computer and information sciences.
Undergraduate Topics in Computer Science Sets, Logic and Maths for Computing, (Paperback)
Artigo n.º: 47079185

Undergraduate Topics in Computer Science Sets, Logic and Maths for Computing, (Paperback)

Artigo n.º: 47079185

XOF 40944

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This easy-to-understand textbook introduces the mathematical language and problem-solving tools essential to anyone wishing to enter the world of computer and information sciences.
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O que se Destaca

Comprehensive Coverage
This textbook offers an extensive overview of foundational topics in computer science, essential for undergraduates, ensuring a solid understanding of sets, logic, and mathematical principles.
Student-Friendly Approach
Designed with undergraduate learners in mind, the content is accessible and engaging, making complex topics easier to grasp and apply in practical scenarios.
Real-World Applications
Each topic is linked to real computing problems, equipping students with the skills to tackle practical challenges, enhancing their readiness for the industry.

Detalhes do produto

Get the best deals on Undergraduate Topics in Computer Science: Sets, Logic and Maths for Computing Edition 3 Paperback by David Makinson at Ubuy Guinea-Bissau. Affordable prices and worldwide shipping.
  • Introduces the mathematical language and problem-solving skills for undergraduate students entering computer and information sciences
  • Covers qualitative and quantitative concepts like set, relation, function, recursion/induction, principles of counting, and finite probability
  • Revised second edition includes further clarification, restructured chapters on logic, more exercises, and solutions
  • Teaches finite mathematics as a language for thinking, focusing on examples for general concepts
  • Balances the abstract and concrete, with highlight boxes addressing common queries and exercises with selected solutions
  • Ideal for first-year undergraduate students of computing with minimal mathematical background, suitable for classroom and independent study
Book formatPaperback
Fiction/nonfictionNon-Fiction
GenreComputing & Internet
Publication dateMay, 2020
Pages398
Reading levelProfessional & Vocational
SubgenreData Science
Series titleUndergraduate Topics in Computer Science
Number in series3
Edition3rd 2020 Edition
PublisherSpringer International Publishing
Original languagesEnglish
LanguageEnglish
Edu focusMathematics
Educational levelCollege
Is collectibleN
CharacterAlice, Mad Hatter
EditorAna Maria A. C. Rocha, Carmelo Maria Torre, Bernady O. Apduhan, Eufemia Tarantino, Emilio Corchado, Lakhmi C. Jain, Lindsey Brine, Elisa Bertino, Jane Tyerman
Binding typePerfect Binding
Recording time0 min
Retail packagingSingle Piece
Assembled product dimensions (l x w x h)6.14 x 0.85 x 9.21 in (15.6 x 2.2 x 23.4 cm)
Assembled product weight1.28 lb (580 grams)
Bisac subject headingComputers

Quem Deverá Comprar?

Suitable For
  • Computer Science Students

    Ideal for undergraduate students needing a solid understanding of mathematical concepts applicable to computer science.

  • Self-learners

    Great resource for individuals independently studying mathematics and logic to enhance their computing skills.

  • Educators

    Useful for teachers seeking comprehensive material to support teaching foundational mathematical topics in computing.

Not Suitable For
  • Advanced Mathematicians

    Advanced mathematicians may find the material too basic and not challenging enough for their skill level.

DESCRIÇÃO DO PRODUTO

Undergraduate Topics in Computer Science Sets, Logic and Maths for Computing, (Paperback)

About This Item

Looking to gain a deeper understanding of sets, logic, and mathematics in the context of computer science? Look no further than the "Undergraduate Topics in Computer Science: Sets, Logic, and Maths for Computing Edition 3 Paperback." Authored by David Makinson, this comprehensive book offers a thorough exploration of these fundamental topics in computer science. Whether you're a student or a professional in the field, this book is an invaluable resource for enhancing your knowledge and skills. With an ISBN of 9783030422172, this paperback edition is easily accessible and portable, allowing you to delve into the world of computer science wherever you go. The format of the book is designed to make complex concepts easy to understand, ensuring that even beginners can grasp the material. The publication date of May 20, 2020, means that this edition is up-to-date and reflects the latest advancements and developments in the field of computer science.

Stay ahead of the curve with this cutting-edge resource. Key Keywords: undergraduate topics in computer science, sets, logic, maths for computing, edition 3 paperback, computer science undergraduate topics, sets for computing, logic for computing, maths for computer science, computer science book edition 3.

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David Makinson All Books Editorial Review

Undergraduate Topics in Computer Science Sets, Logic and Maths for Computing (Paperback) is a comprehensive textbook published by Springer International Publishing. This 3rd edition released in May 2020 spans 398 pages and is geared towards college-level education, focusing on the intersections of computing and mathematics. The book is part of the 'Undergraduate Topics in Computer Science' series and covers vital topics that are essential for understanding data science. Its perfect binding and accessible format make it suitable for professional and vocational reading. Readers will also appreciate the contributions from various esteemed editors, bringing a diverse range of expertise to the content.

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Prós

  • Comprehensive coverage of computing and mathematics subjects
  • Ideal for college-level education and professional use
  • Perfect binding enhances durability and usability
  • Includes diverse contributions from experienced editors
  • Supports vocational training in data science

Contras

  • Might be too advanced for some newcomers to the field

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