Domain acquintus-investment.de kaufen?

Produkt zum Begriff Computer Science:


  • Computer Security: Art and Science
    Computer Security: Art and Science

    The Comprehensive Guide to Computer Security, Extensively Revised with Newer Technologies, Methods, Ideas, and Examples   In this updated guide, University of California at Davis Computer Security Laboratory co-director Matt Bishop offers clear, rigorous, and thorough coverage of modern computer security. Reflecting dramatic growth in the quantity, complexity, and consequences of security incidents, Computer Security, Second Edition, links core principles with technologies, methodologies, and ideas that have emerged since the first edition’s publication.   Writing for advanced undergraduates, graduate students, and IT professionals, Bishop covers foundational issues, policies, cryptography, systems design, assurance, and much more. He thoroughly addresses malware, vulnerability analysis, auditing, intrusion detection, and best-practice responses to attacks. In addition to new examples throughout, Bishop presents entirely new chapters on availability policy models and attack analysis. Understand computer security goals, problems, and challenges, and the deep links between theory and practiceLearn how computer scientists seek to prove whether systems are secureDefine security policies for confidentiality, integrity, availability, and moreAnalyze policies to reflect core questions of trust, and use them to constrain operations and changeImplement cryptography as one component of a wider computer and network security strategy Use system-oriented techniques to establish effective security mechanisms, defining who can act and what they can doSet appropriate security goals for a system or product, and ascertain how well it meets themRecognize program flaws and malicious logic, and detect attackers seeking to exploit them This is both a comprehensive text, explaining the most fundamental and pervasive aspects of the field, and a detailed reference. It will help you align security concepts with realistic policies, successfully implement your policies, and thoughtfully manage the trade-offs that inevitably arise.   Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

    Preis: 78.1 € | Versand*: 0 €
  • Computer Science: An Interdisciplinary Approach
    Computer Science: An Interdisciplinary Approach

    Named a Notable Book in the 21st Annual Best of Computing list by the ACM!Robert Sedgewick and Kevin Wayne’s Computer Science: An Interdisciplinary Approach is the ideal modern introduction to computer science with Java programming for both students and professionals. Taking a broad, applications-based approach, Sedgewick and Wayne teach through important examples from science, mathematics, engineering, finance, and commercial computing. The book demystifies computation, explains its intellectual underpinnings, and covers the essential elements of programming and computational problem solving in today’s environments. The authors begin by introducing basic programming elements such as variables, conditionals, loops, arrays, and I/O. Next, they turn to functions, introducing key modular programming concepts, including components and reuse. They present a modern introduction to object-oriented programming, covering current programming paradigms and approaches to data abstraction. Building on this foundation, Sedgewick and Wayne widen their focus to the broader discipline of computer science. They introduce classical sorting and searching algorithms, fundamental data structures and their application, and scientific techniques for assessing an implementation’s performance. Using abstract models, readers learn to answer basic questions about computation, gaining insight for practical application. Finally, the authors show how machine architecture links the theory of computing to real computers, and to the field’s history and evolution. For each concept, the authors present all the information readers need to build confidence, together with examples that solve intriguing problems. Each chapter contains question-and-answer sections, self-study drills, and challenging problems that demand creative solutions. Companion web site (introcs.cs.princeton.edu/java) containsExtensive supplementary information, including suggested approaches to programming assignments, checklists, and FAQsGraphics and sound librariesLinks to program code and test dataSolutions to selected exercisesChapter summariesDetailed instructions for installing a Java programming environmentDetailed problem sets and projects Companion 20-part series of video lectures is available at informit.com/title/9780134493831

    Preis: 48.14 € | Versand*: 0 €
  • Classic Computer Science Problems in Java
    Classic Computer Science Problems in Java

    Sharpen your coding skills by exploring established computer science problems! Classic Computer Science Problems in Java challenges you with time-tested scenarios and algorithms. You’ll work through a series of exercises based in computer science fundamentals that are designed to improve your software development abilities, improve your understanding of artificial intelligence, and even prepare you to ace an interview. Classic Computer Science Problems in Java will teach you techniques to solve common-but-tricky programming issues. You’ll explore foundational coding methods, fundamental algorithms, and artificial intelligence topics, all through code-centric Java tutorials and computer science exercises. As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten and discover classic solutions to your "new" problems! Key Features·   Recursion, memorization, bit manipulation·   Search algorithms·   Constraint-satisfaction problems·   Graph algorithms·   K-means clustering For intermediate Java programmers. About the technology In any computer science classroom you’ll find a set of tried-and-true algorithms, techniques, and coding exercises. These techniques have stood the test of time as some of the best ways to solve problems when writing code, and expanding your Java skill set with these classic computer science methods will make you a better Java programmer. David Kopec is an assistant professor of computer science and innovation at Champlain College in Burlington, Vermont. He is the author of Dart for Absolute Beginners (Apress, 2014), Classic Computer Science Problems in Swift (Manning, 2018), and Classic Computer Science Problems in Python (Manning, 2019).

    Preis: 49.21 € | Versand*: 0 €
  • Computer Science: An Overview, Global Edition
    Computer Science: An Overview, Global Edition

    Develop a core understanding of the concepts of modern computer science Computer Science: An Overview, 13th edition, Global Edition, by J. Glenn Brookshear, and Dennis Brylow, is written for students from all backgrounds, giving you a bottom-up, concrete-to-abstract foundation in the subject. Its broad coverage encourages a practical and realistic understanding of computer science, covering all the major concepts. The book's broad background exposes beginning computer science students to the breadth of the subject they plan to major in and teaches students from other backgrounds how to relate to the technical society in which they live. Learn in a flexible way with independent chapters you can study in any order with full-colour design to help you engage with the information. The text also uses Python to provide programming tools for exploration and experimentation in your learning. This 13th edition has been corrected and updated in each chapter to refine your learning experience. With more than 1,000 questions and exercises, the book trains your thinking skills with useful chapter review problems and contains questions surrounding social issues to reinforce core concepts. This text is comprehensive and highly accessible, making it ideal for undergraduate studies in computer science. This title has a Companion Website.

    Preis: 53.49 € | Versand*: 0 €
  • Was sind die Vorteile der Diversifikation in einem Investment-Portfolio?

    Die Diversifikation reduziert das Risiko, da Verluste in einem Bereich durch Gewinne in einem anderen Bereich ausgeglichen werden können. Sie erhöht die Stabilität des Portfolios und bietet Schutz vor plötzlichen Marktschwankungen. Zudem ermöglicht sie eine bessere Rendite, da verschiedene Anlageklassen unterschiedlich auf wirtschaftliche Entwicklungen reagieren.

  • Wie kann die Portfoliooptimierung in den Bereichen Finanzen, Investment und Risikomanagement effektiv umgesetzt werden, um eine maximale Rendite bei minimalen Risiken zu erzielen?

    Die Portfoliooptimierung kann effektiv umgesetzt werden, indem eine breite Diversifikation angestrebt wird, um das Risiko zu minimieren. Dies kann durch die Auswahl verschiedener Anlageklassen, Branchen und geografischer Regionen erreicht werden. Zudem ist eine regelmäßige Überprüfung und Anpassung des Portfolios notwendig, um auf Veränderungen am Markt zu reagieren. Die Verwendung von Finanzinstrumenten wie Derivaten und Optionen kann ebenfalls dazu beitragen, das Risiko zu minimieren und die Rendite zu maximieren. Schließlich ist eine gründliche Analyse der aktuellen Marktsituation und eine fundierte Entscheidungsfindung unerlässlich, um eine erfolgreiche Portfoliooptimierung zu erreichen.

  • Fantasie oder Science-Fiction?

    Ich persönlich bevorzuge Science-Fiction, da ich fasziniert bin von den futuristischen Technologien und den Möglichkeiten, die sich daraus ergeben. Fantasie ist jedoch auch sehr interessant, da sie oft eine Welt voller Magie und Kreativität erschafft. Letztendlich hängt es von meiner Stimmung ab, ob ich lieber in die Welt der Fantasie oder der Science-Fiction eintauche.

  • Wie kann Portfolio-Diversifikation dazu beitragen, das Risiko von Investitionen zu minimieren und gleichzeitig die Rendite zu maximieren?

    Durch die Diversifikation eines Portfolios in verschiedene Anlageklassen wie Aktien, Anleihen, Immobilien und Rohstoffe kann das Risiko gestreut werden, da diese Anlageklassen unterschiedlich auf Marktbewegungen reagieren. Dadurch wird das Gesamtrisiko des Portfolios verringert. Wenn eine Anlageklasse schlecht abschneidet, können die Gewinne aus anderen Anlageklassen die Verluste ausgleichen, was zu einer insgesamt stabileren Rendite führt. Durch die Auswahl verschiedener Anlagen mit unterschiedlichen Risiko-Rendite-Profilen kann die Gesamtrendite des Portfolios maximiert werden, da die Gewinne aus den renditestarken Anlagen die Verluste aus den weniger renditestarken Anlagen ausgleichen können. Die Diversifikation ermöglicht es Anlegern, von verschiedenen Wach

Ähnliche Suchbegriffe für Computer Science:


  • Concrete Mathematics: A Foundation for Computer Science
    Concrete Mathematics: A Foundation for Computer Science

    This book introduces the mathematics that supports advanced computer programming and the analysis of algorithms. The primary aim of its well-known authors is to provide a solid and relevant base of mathematical skills - the skills needed to solve complex problems, to evaluate horrendous sums, and to discover subtle patterns in data. It is an indispensable text and reference not only for computer scientists - the authors themselves rely heavily on it! - but for serious users of mathematics in virtually every discipline.Concrete Mathematics is a blending of CONtinuous and disCRETE mathematics. "More concretely," the authors explain, "it is the controlled manipulation of mathematical formulas, using a collection of techniques for solving problems." The subject matter is primarily an expansion of the Mathematical Preliminaries section in Knuth's classic Art of Computer Programming, but the style of presentation is more leisurely, and individual topics are covered more deeply. Several new topics have been added, and the most significant ideas have been traced to their historical roots. The book includes more than 500 exercises, divided into six categories. Complete answers are provided for all exercises, except research problems, making the book particularly valuable for self-study.Major topics include:SumsRecurrencesInteger functionsElementary number theoryBinomial coefficientsGenerating functionsDiscrete probabilityAsymptotic methodsThis second edition includes important new material about mechanical summation. In response to the widespread use of the first edition as a reference book, the bibliography and index have also been expanded, and additional nontrivial improvements can be found on almost every page. Readers will appreciate the informal style of Concrete Mathematics. Particularly enjoyable are the marginal graffiti contributed by students who have taken courses based on this material. The authors want to convey not only the importance of the techniques presented, but some of the fun in learning and using them.

    Preis: 55.63 € | Versand*: 0 €
  • Brookshear, J.: Computer Science: An Overview, Global Edition
    Brookshear, J.: Computer Science: An Overview, Global Edition

    Computer Science: An Overview, Global Edition , For Introduction to Computer Science courses. Surveys the breadth of computer science?with the depth needed to explore concepts Computer Science: An Overview is written for students of computer science as well as students from other disciplines. Its broad coverage and clear exposition are accessible to students from all backgrounds, encouraging a practical and realistic understanding of the subject. Written to provide students with a bottom-up, concrete-to-abstract foundation, this broad background exposes beginning computer science students to the breadth of the subject in which they are planning to major, and students from other disciplines to what they need to relate to the technical society in which they live. Individual chapters are independent, and can be covered in an order that suits instructor course needs with selected content marked as optional for the introductory course. With a new full-color design, each chapter in the 13th Edition has seen revisions, updates, and corrections from the previous editions. The text also continues to use Python to provide programming tools for exploration and experimentation. More than 1,000 questions and exercises, Chapter Review Problems, and Social Issues questions reinforce core concepts. The text's Companion Website extends resources to enhance the course. , >

    Preis: 87.80 € | Versand*: 0 €
  • Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud
    Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud

    Introduction to Python for Computer Science and Data Science takes a unique, modular approach to teaching and learning introductory Python programming that is relevant for both computer science and data science audiences. The Deitels cover the most current topics and applications to prepare you for your career. Jupyter Notebooks supplements provide opportunities to test your programming skills. Fully implemented case studies in artificial intelligence technologies and big data let you apply your knowledge to interesting projects in the business, industry, government and academia sectors. Hundreds of hands-on examples, exercises and projects offer a challenging and entertaining introduction to Python and data science.

    Preis: 90.94 € | Versand*: 0 €
  • Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud, Global Edition
    Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud, Global Edition

    A ground-breaking, flexible approach to computer science and data science The Deitels' Introduction to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud offers a unique approach to teaching introductory Python programming, appropriate for both computer-science and data-science audiences. Providing the most current coverage of topics and applications, the book is paired with extensive traditional supplements as well as Jupyter Notebooks supplements. Real-world datasets and artificial-intelligence technologies allow students to work on projects making a difference in business, industry, government and academia. Hundreds of examples, exercises, projects (EEPs) and implementation case studies give students an engaging, challenging and entertaining introduction to Python programming and hands-on data science. The book's modular architecture enables instructors to conveniently adapt the text to a wide range of computer-science and data-science courses offered to audiences drawn from many majors. Computer-science instructors can integrate as much or as little data-science and artificial-intelligence topics as they'd like, and data-science instructors can integrate as much or as little Python as they'd like. The book aligns with the latest ACM/IEEE CS-and-related computing curriculum initiatives and with the Data Science Undergraduate Curriculum Proposal sponsored by the National Science Foundation.

    Preis: 53.49 € | Versand*: 0 €
  • Kennt ihr gute Science-Fiction-Liebesfilme?

    Ja, es gibt einige gute Science-Fiction-Liebesfilme. Ein Beispiel ist "Her" von Spike Jonze, in dem sich ein Mann in ein Betriebssystem verliebt. Ein weiteres Beispiel ist "Eternal Sunshine of the Spotless Mind" von Michel Gondry, in dem ein Paar versucht, ihre Erinnerungen aneinander zu löschen, aber am Ende wieder zueinander findet.

  • Was sind die Vorteile der Diversifikation für ein Investment-Portfolio und welche Strategien können genutzt werden, um das Risiko zu minimieren?

    Die Vorteile der Diversifikation für ein Investment-Portfolio sind eine Reduzierung des Gesamtrisikos durch Streuung der Anlagen in verschiedene Anlageklassen, Branchen und Regionen. Strategien zur Risikominimierung sind die Verwendung von Asset-Allokation, Rebalancing und die Auswahl von unkorrelierten Anlagen. Eine breite Diversifikation kann dazu beitragen, Verluste in einem Bereich auszugleichen und langfristige Renditen zu maximieren.

  • Bekommt man ein Stipendium für die Elite-Universitäten Cambridge, Harvard, Stanford oder Oxford von der HTL oder nur von Gymnasien, wenn ich Computer Science studiere?

    Stipendien für Elite-Universitäten wie Cambridge, Harvard, Stanford oder Oxford werden in der Regel nicht speziell an bestimmte Schulen oder Studiengänge gebunden. Die Vergabe von Stipendien hängt von verschiedenen Faktoren ab, wie akademischer Leistung, außerschulischem Engagement und finanzieller Bedürftigkeit. Es ist also möglich, unabhängig von der besuchten Schule oder dem gewählten Studiengang ein Stipendium für eine dieser Universitäten zu erhalten, solange die entsprechenden Kriterien erfüllt sind.

  • Statt Bachelor of Science, Bachelor of Arts?

    Ein Bachelor of Arts Abschluss unterscheidet sich von einem Bachelor of Science Abschluss in der Regel durch den Schwerpunkt auf geisteswissenschaftliche Fächer wie Sprachen, Literatur, Geschichte oder Kunst. Ein Bachelor of Arts Abschluss kann daher für Studierende interessant sein, die sich mehr für diese Bereiche interessieren und weniger für naturwissenschaftliche Fächer. Letztendlich hängt die Wahl zwischen einem Bachelor of Science und einem Bachelor of Arts Abschluss von den individuellen Interessen und Karrierezielen ab.

* Alle Preise verstehen sich inklusive der gesetzlichen Mehrwertsteuer und ggf. zuzüglich Versandkosten. Die Angebotsinformationen basieren auf den Angaben des jeweiligen Shops und werden über automatisierte Prozesse aktualisiert. Eine Aktualisierung in Echtzeit findet nicht statt, so dass es im Einzelfall zu Abweichungen kommen kann.