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Introduces advanced programming concepts necessary for designing programs for ``real world'' implementation. Fully revised, this text meets the ACM recommendations for the Computer Science II course. Data abstraction concepts have been considerably expanded. Other primary topics include programming style, procedural abstraction concepts, and program implementation. Answers to selected exercises appear at the end of this text.
Algorithms; Basic pascal concepts; Elementary pascal programming; Flow of control; Running debugging and testing programs; Additional pascal data types; Functions and procedures; Building quality programs.
Introduction to Pascal and Structured Design, provides a concise, accessible introduction to computer science. Using Pascal programming as a tool to shape students' understanding of the discipline, the text offers a strong focus on good programming habits and techniques. The smooth integration of programming essentials, software engineering principles and contemporary theory creates an effective blend for students' first courses in computer science. An emphasis on conceptual understanding, problem solving, and algorithmic design teaches the skills needed for effective program implementation. A wide array of in-text learning aids, including Problem-Solving Case Studies, ample exercises and problems, and nine useful appendices, completes the text. Click here for downloadable student files
Introduces all aspects of programming and problem solving in the Pascal language, with special attention to good programming habits and style. Covers the use of algorithm thinking as a means for problem solving, refinement, recursion, and top down modular programming. Extensive exercises are included at the end of each chapter, with answers to selected exercises at the end of the book.
Thoroughly revised and updated Turbo Pascal retains the excellent pedagogy, outstanding clarity, and balanced presentation that marked earlier editions as leaders in computer science education. An emphasis on problem solving and algorithmic design teaches students to implement programs most effectively. A sensible organization introduces concepts where students need them most, and an extensive and varied selection of exercises and case studies support and strengthen concepts learned. In addition, all programming examples follow well-defined methodologies that reinforce proper problem-solving principles.