C++ PROGRAMMING: PROGRAM DESIGN INCLUDING DATA STRUCTURES remains the definitive text for the CS1/CS1 course sequence. In this new fifth edition, D.S. Malik continues to employ his student-focused, example-based methodology to teach C++ Programming to introductory computing students. Changes to this edition include new debugging sections in each chapter and a multitude of new and updated exercises.

In Foundation Design: Theory and Practice, Professor N. S. V. Kameswara Rao covers the key aspects of the subject, including principles of testing, interpretation, analysis, soil-structure interaction modeling, construction guidelines, and applications to rational design. Rao presents a wide array of numerical methods used in analyses so that readers can employ and adapt them on their own. Throughout the book the emphasis is on practical application, training readers in actual design procedures using the latest codes and standards in use throughout the world.

Data Structures and Program Design in C++/by Robert L. Kruse (Author), Alex Ryba (Author)
While some books on data structures stress theory and mathematical concepts over real-world sample code, this guide illustrates its tour of data structures--such as stacks, lists, queues, trees, and graphs--with clear, engaging samples. Throughout, the authors make use of built-in C++ features (such as the Standard Template Library [STL] and templates) where appropriate.

C# Programming: From Problem Analysis to Program Design has been thoroughly revised for Visual Studio 2010. As in previous editions of the text Doyle introduces a variety of basic programming concepts, from data types and expressions to arrays and collections - all using C# as the programming language. Every chapter begins with an identification of objectives and ends with a case study solidifying concepts presented in the chapter.

You might be holding this book in a bookstore, asking yourself whether you should buy it. Or maybe you are in your employers library, wondering whether you should invest time in reading it. I know you dont have time, so Ill cut to the chase

You might be holding this book in a bookstore, asking yourself whether you should buy it. Or maybe you are in your employers library, wondering whether you should invest time in reading it. I know you dont have time, so Ill cut to the chase. If you have ever asked yourself how to write higher-level programs in C++, how to cope with the avalanche of irrelevant details that plague even the cleanest design, or how to build reusable components that you dont have to hack into each time you take them to your next application, then this book is for you.

Data Structures and Algorithms in C++ /by Michael T. Goodrich, Roberto Tamassia, David M. Mount. Written by an author team of experts in their fields, this authoritative guide demystifies even the most difficult mathematical concepts so that you can gain a clear understanding of data structures and algorithms in C++.

A comprehensive treatment focusing on the creation of efficient data structures and algorithms, this text explains how to select or design the data structure best suited to specific problems. It uses C++ as the programming language and is suitable for second-year data structure courses and computer science courses in algorithmic analysis.

A Laboratory Course in C++ Data Structures, Second Edition exemplifies the active learning experience. With a dynamic learn-by-doing focus, this laboratory manual encourages students to explore data structures by implementing them, a process through which students discover how data structures work and how they can be applied. Providing a framework that offers feedback and support, this text challenges students to exercise their creativity in both programming and analysis. Each laboratory unit consists of four parts: the Prelab, the Bridge, the In-lab, and the Postlab, which create an excellent hands-on learning opportunity for students in supervised labs and students engaged in independent study.

A Laboratory Course in C++ Data Structures, Second Edition exemplifies the active learning experience. With a dynamic learn-by-doing focus, this laboratory manual encourages students to explore data structures by implementing them, a process through which students discover how data structures work and how they can be applied. Providing a framework that offers feedback and support, this text challenges students to exercise their creativity in both programming and analysis. Each laboratory unit consists of four parts: the Prelab, the Bridge, the In-lab, and the Postlab, which create an excellent hands-on learning opportunity for students in supervised labs and students engaged in independent study.