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Home › Books › Data Structures and Algorithms in Java: A Pro...
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Book Info
PublishedJan 1, 2023
Edition1st Edition
LevelUndergraduate
Computer Science

Data Structures and Algorithms in Java: A Project-Based Approach

By Dan Myers

About This Book

This book provides a practical introduction to data structures and algorithms using the Java programming language. It emphasizes a project-based learning methodology, guiding readers through the implementation of core computer science concepts within the context of functional software development projects.
Book Review | Amerbach
Data Structures and Algorithms in Java: A Project-Based Approach offers a distinct pedagogical shift from traditional, theory-heavy computer science literature. By centering the curriculum on project-based implementation, the book bridges the gap between abstract algorithmic complexity and real-world software engineering requirements. The scope of the book covers fundamental data structures—such as linked lists, stacks, queues, and trees—alongside essential algorithmic paradigms, including sorting, searching, and graph traversal. Each chapter is structured to facilitate active learning, requiring the reader to engage directly with Java code to solve specific, project-oriented problems. This approach ensures that the reader does not merely memorize the mechanics of an algorithm but understands its utility and performance implications within a larger system. The depth of the material is appropriate for an undergraduate level, providing enough rigor to satisfy academic requirements while maintaining a focus on practical utility. The book is particularly notable for its clear, concise coding examples, which serve as a foundation for the reader to build more complex applications. By integrating theory with project-based tasks, the book encourages a deeper understanding of how data structures influence software architecture and efficiency. For students and educators, this book serves as a valuable resource that complements standard theoretical texts by providing the necessary context for implementation. It is well-suited for those who learn best through application and iterative development. In the broader landscape of computer science education, this book occupies a vital space, demonstrating that the mastery of algorithms is best achieved when those algorithms are applied to tangible, functional projects. It is a highly recommended addition to any introductory computer science curriculum that prioritizes hands-on experience and practical skill acquisition.

Academic Use

Introductory Data Structures and Algorithms courses

Who Is It For?

Undergraduate computer science students and self-taught programmers seeking a practical application of algorithmic theory.

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