{"product_id":"the-discrete-math-workbook-a-companion-manual-using-python-hardcover","title":"The Discrete Math Workbook: A Companion Manual Using Python - Hardcover","description":"\u003cp\u003eby \u003cb\u003eSergei Kurgalin\u003c\/b\u003e (Author), \u003cb\u003eSergei Borzunov\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis practically-focused study guide introduces the fundamentals of discrete mathematics through an extensive set of classroom-tested problems. Each chapter presents a concise introduction to the relevant theory, followed by a detailed account of common challenges and methods for overcoming these. The reader is then encouraged to practice solving such problems for themselves, by tackling a varied selection of questions and assignments of different levels of complexity.\u003c\/p\u003e\u003cp\u003eThis updated second edition now covers the design and analysis of algorithms using Python, and features more than 50 new problems, complete with solutions.\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eTopics and features: provides a substantial collection of problems and examples of varying levels of difficulty, suitable for both laboratory practical training and self-study; offers detailed solutions to each problem, applying commonly-used methods and computational schemes; introduces the fundamentals of mathematical logic, the theory of algorithms, Boolean algebra, graph theory, sets, relations, functions, and combinatorics; presents more advanced material on the design and analysis of algorithms, including Turing machines, asymptotic analysis, and parallel algorithms; includes reference lists of trigonometric and finite summation formulae in an appendix, together with basic rules for differential and integral calculus.\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis hands-on workbook is an invaluable resource for undergraduate students of computer science, informatics, and electronic engineering. Suitable for use in a one- or two-semester course on discrete mathematics, the text emphasizes the skills required to develop and implement an algorithm in a specific programming language.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis practically-focused study guide introduces the fundamentals of discrete mathematics through an extensive set of classroom-tested problems. Each chapter presents a concise introduction to the relevant theory, followed by a detailed account of common challenges and methods for overcoming these. The reader is then encouraged to practice solving such problems for themselves, by tackling a varied selection of questions and assignments of different levels of complexity.\u003c\/p\u003e \u003cp\u003eThis updated second edition now covers the design and analysis of algorithms using Python, and features more than 50 new problems, complete with solutions.\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eTopics and features: \u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eProvides a substantial collection of problems and examples of varying levels of difficulty, suitable for both laboratory practical training and self-study\u003c\/li\u003e\n\u003cli\u003eOffers detailed solutions to each problem, applying commonly-used methods and computational schemes\u003c\/li\u003e\n\u003cli\u003eIntroduces the fundamentals of mathematical logic, the theory of algorithms, Boolean algebra, graph theory, sets, relations, functions, and combinatorics\u003c\/li\u003e\n\u003cli\u003ePresents more advanced material on the design and analysis of algorithms, including Turing machines, asymptotic analysis, and parallel algorithms\u003c\/li\u003e\n\u003cli\u003eIncludes reference lists of trigonometric and finite summation formulae in an appendix, together with basic rules for differential and integral calculus\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e This hands-on workbook is an invaluable resource for undergraduate students of computer science, informatics, and electronic engineering. Suitable for use in a one- or two-semester course on discrete mathematics, the text emphasizes the skills required to develop and implement an algorithm in a specific programming language.\u003cbr\u003e \u003cp\u003e​\u003cb\u003eDr. Sergei Kurgalin\u003c\/b\u003e is a Professor and Head of the Department of Digital Technologies at Voronezh State University, Russia. \u003cb\u003eDr. Sergei Borzunov\u003c\/b\u003e is an Associate Professor at the same institution.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cb\u003e​\u003c\/b\u003e\u003cb\u003eDr. Sergei Kurgalin\u003c\/b\u003e is a Professor and Head of the Department of Digital Technologies at Voronezh State University, Russia.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDr. Sergei Borzunov\u003c\/b\u003e is an Associate Professor at the same institution.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 500\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.13 x 9.21 x 6.14 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e August 12, 2020\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42743195631679,"sku":"9783030422202","price":194.38,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/c007657d42c695857d30a6c2e567a4e1.webp?v=1765165226","url":"https:\/\/dhlswag.com\/products\/the-discrete-math-workbook-a-companion-manual-using-python-hardcover","provider":"BBB","version":"1.0","type":"link"}