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.
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
590
Mathematics for Computer Scientists: A Practice-Oriented Approach
590Paperback(1st ed. 2023)
Product Details
| ISBN-13: | 9783658404222 |
|---|---|
| Publisher: | Springer Fachmedien Wiesbaden |
| Publication date: | 08/31/2023 |
| Edition description: | 1st ed. 2023 |
| Pages: | 590 |
| Product dimensions: | 6.61(w) x 9.45(h) x (d) |