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Author: Elliot B. Koffman Publisher: Addison Wesley Publishing Company ISBN: Category : Computers Languages : en Pages : 616
Book Description
This book uses Turbo Pascal to teach data structures and software engineering topics with an emphasis on data abstraction and the use of abstract data types. The book contains features like case studies, program style sections, syntax display boxes, common error sections, chapter reviews, quick-check exercises, and programming projects to aid in learning.
Author: Elliot B. Koffman Publisher: Addison Wesley Publishing Company ISBN: Category : Computers Languages : en Pages : 616
Book Description
This book uses Turbo Pascal to teach data structures and software engineering topics with an emphasis on data abstraction and the use of abstract data types. The book contains features like case studies, program style sections, syntax display boxes, common error sections, chapter reviews, quick-check exercises, and programming projects to aid in learning.
Author: Frank M. Carrano Publisher: Benjamin-Cummings Publishing Company ISBN: Category : Business & Economics Languages : en Pages : 806
Book Description
The bestselling exploration of recursion and recursive problem solving is now available in a new Turbo Pascal edition. This new edition includes optional sections on object-oriented programming as well as coverage of Turbo Compiler Directives, Turbo Compiler Error Messages, and the difference between Turbo Pascal and Standard Pascal.
Author: Robert Leroy Kruse Publisher: ISBN: Category : Computers Languages : en Pages : 714
Book Description
For sophomore/junior-level courses in Data Structures. This volume explores top-down structured problem solving, the process of data abstraction and structuring, and the comparative study of algorithms as fundamental tools of program design.
Author: Ivan Mistrik Publisher: CRC Press ISBN: 1000397645 Category : Computers Languages : en Pages : 427
Book Description
Data-intensive systems are software applications that process and generate Big Data. Data-intensive systems support the use of large amounts of data strategically and efficiently to provide intelligence. For example, examining industrial sensor data or business process data can enhance production, guide proactive improvements of development processes, or optimize supply chain systems. Designing data-intensive software systems is difficult because distribution of knowledge across stakeholders creates a symmetry of ignorance, because a shared vision of the future requires the development of new knowledge that extends and synthesizes existing knowledge. Knowledge Management in the Development of Data-Intensive Systems addresses new challenges arising from knowledge management in the development of data-intensive software systems. These challenges concern requirements, architectural design, detailed design, implementation and maintenance. The book covers the current state and future directions of knowledge management in development of data-intensive software systems. The book features both academic and industrial contributions which discuss the role software engineering can play for addressing challenges that confront developing, maintaining and evolving systems;data-intensive software systems of cloud and mobile services; and the scalability requirements they imply. The book features software engineering approaches that can efficiently deal with data-intensive systems as well as applications and use cases benefiting from data-intensive systems. Providing a comprehensive reference on the notion of data-intensive systems from a technical and non-technical perspective, the book focuses uniquely on software engineering and knowledge management in the design and maintenance of data-intensive systems. The book covers constructing, deploying, and maintaining high quality software products and software engineering in and for dynamic and flexible environments. This book provides a holistic guide for those who need to understand the impact of variability on all aspects of the software life cycle. It leverages practical experience and evidence to look ahead at the challenges faced by organizations in a fast-moving world with increasingly fast-changing customer requirements and expectations.
Author: Nell Dale Publisher: Jones & Bartlett Learning ISBN: 9780763706081 Category : Computers Languages : en Pages : 1144
Book Description
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.
Author: Elliot B. Koffman
Author: Elliot B. Koffman
Author: Frank M. Carrano
Author: Robert Kruse
Author: Nell B. Dale
Author: Robert Leroy Kruse
Author: Thomas L. Naps
Author: Elliot B. Koffman
Author: Ivan Mistrik
Author: Nell Dale
Author: Nell B. Dale