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Algorithms+Data Structures = Programs
Abstract
Learn with confidence with this hands-on undergraduate textbook for CS2 courses. Active-learning and real-world projects underpin each chapter, briefly reviewing programming fundamentals then progressing to core data structures and algorithms topics including recursion, lists, stacks, trees, graphs, sorting, and complexity analysis. Creative projects and applications put theoretical concepts into practice, helping students master the fundamentals. Dedicated project chapters supply further programming practice using real-world, interdisciplinary problems which students can showcase in their own online portfolios. Example Interview Questions sections prepare students for job applications. The pedagogy supports self-directed and skills-based learning with over 250 'Try It Yourself' boxes, many with solutions provided, and over 500 progressively challenging end-of-chapter questions. Written in a clear and engaging style, this textbook is a complete resource for teaching the fundamental skills that today's students need. Instructor resources are available online, including a test bank, solutions manual, and sample code.
Overview
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Citations
Cited by
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Kabsch, W. (1988) · Journal of Applied Crystallography · doi:10.1107/s0021889887009737 · Cited by 555
Algorithms and their others: Algorithmic culture in context
Dourish, P. (2016) · Big Data & Society · doi:10.1177/2053951716665128 · Cited by 481
Do we represent peripersonal space?
Klein, C. (2021) · The World at Our Fingertips · doi:10.1093/oso/9780198851738.003.0008 · Cited by 3
Metadata
- Venue
- Data Structures and Algorithms in Java
- Publisher
- Cambridge University Press
- Published
- 2024-10-31
- Pages
- 1-7
- OpenAlex
- W2003494253
- Cited by
- 953
- References
- 0
- FWCI
- 13.03
- Type
- book chapter
- Language
- en
- Open access
- closed
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- Algorithms+Data Structures = Programs. (2024). Data Structures and Algorithms in Java. https://doi.org/10.1017/9781009260350.002
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
