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008			230830s2023 gw | o |||| 0|eng d
020			_a9783658404239
024	7		_a10.1007/978-3-658-40423-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9 .M35 _b2023 EB
100	1		_aHartmann, Peter _c(profesor) _eautor _4http://id.loc.gov/vocabulary/relators/aut _9689541
245	1	0	_aMathematics for Computer Scientists : _bA Practice-Oriented Approach _cby Peter Hartmann
250			_a1st ed 2023
264		1	_aWiesbaden _bSpringer Fachmedien Wiesbaden _c2023
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aDISCRETE MATHEMATICS AND LINEAR ALGEBRA -- Sets and mappings -- Logic -- Natural numbers, complete induction, recursion -- Some number theory -- Algebraic structures -- Vector spaces -- Matrices -- Gaussian algorithm and systems of linear equations -- Eigenvalues, eigenvectors and basis transformations -- Scalar product and orthogonal maps -- Graph theory -- ANALYSIS -- The real numbers -- Sequences and series -- Continuous functions -- Differential calculus -- Integral calculus -- Differential equations -- Numerical methods -- PROBABILITY AND STATISTICS -- Probability spaces -- Random variables -- Important distributions and stochastic processes -- Statistical methods -- Appendix.
520			_aThis 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. The Author Peter Hartmann is a professor at Landshut University of Applied Sciences in the Department of Computer Science. The focus of his teaching is on mathematics for computer scientists and business informatics specialists.
988			_aSpringer_Computer_2023
650		7	_2embne _9160233 _aMatemáticas discretas
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-658-40423-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2024 _dz _eb _zSI