Computer science : an interdisciplinary approach / Robert Sedgewick and Kevin Wayne
Material type:

Item type | Current library | Home library | Collection | Shelving location | Call number | Copy number | Status | Date due | Barcode |
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LRC - Graduate Studies | National University - Manila | Gen. Ed. - CCIT | General Circulation | GC QA 76.9 .S43 2017 (Browse shelf (Opens below)) | c.1 | Available | NULIB000013756 |
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GC QA 76.9 .P48 2017 c.2 Microsoft SQL Server 2016 : a beginner's guide | GC QA 76.9 .P69 2007 Oracle 10g database administrator : implementation & administration / | GC QA 76.9 .S37 2014 Doing data science / | GC QA 76.9 .S43 2017 Computer science : an interdisciplinary approach / | GC QA 76.9 .S44 2015 Patterns of HCI design and HCI design of patterns / | GC QA 76.9 .S54 2009 Systems analysis and design methods / | GC QA 76.9 .S75 2016 SQL Database programming : the ultimate guide to learning SQL database programming fast. |
Includes index.
Elements of programming -- Functions and modules -- Object-oriented programming -- Algorithms and data structures -- Theory of computing -- A Computing machine -- Building a computing device
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.
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