This work prepares students for the world of computing by giving them a solid foundation in the science of computer science, algorithms. By taking an algorithm-based approach to the subject, this introductory text seeks to help students grasp overall concepts, rather than bogging them down in specific syntax detail of a programming language that can become obsolete quickly.
. . Part 1. The computing perspective 1. Technology, science and change 2. Overview of algorithms Part 2. The algorithm toolkit 3. Basic data, operations and decisions 4. Tools for procedural abstraction 5. Tools for data abstraction 6. Algorithmic methods 7. Tools for estimating cost & complexity 8. Tools for verifying correctness 9. Tools for behavioural abstraction Part 3. The limits of computing 10. Concurrency & parallelism 11. Hierarchies of complexity Part 4 (Appendix). Pseudocode examples