Cambridge International AS and A Level Computer Science Coursebook
Overview
Cambridge International AS and A Level Computer Science Coursebook delivers an accessible guide to theoretical and practical skills in Computer Science, with a clear progression of tasks that help to consolidate and develop knowledge. Cambridge International AS and A Level Computer Science Coursebook offers students detailed descriptions of the concepts, reinforced with examples that outline complex subject matter in a clear way. Alongside fundamental definitions, higher level programming skills are developed through the explanation of processes and consolidated by practical exam-type questions for students to attempt.
Features
- Examples of three different programming languages throughout allowing students to use the resource with their preferred programming language.
- The coursebook is structured into units to allow AS and A Level students to progress according to the assessment papers.
- Designed using a visual approach, outlining the concepts, the text helps students to understand the processes and structures of computer science
Contents
- PART 1 THEORY FUNDAMENTALS
- 1. Information representation
- 2. Communication and Internet technologies
- 3. Hardware
- 4. Logic gates and logic circuits
- 5. Processor fundamentals
- 6. Assembly language programming
- 7. System software
- 8. Data security, privacy and integrity
- 9. Ethics and ownership
- 10. Database and data modelling
- PART 2 FUNDAMENTAL PROBLEM-SOLVING AND PROGRAMMING SKILLS
- 11. Algorithm design and problem solving
- 12. Stepwise refinement and structure charts
- 13. Programming and data representation
- 14. Structured programming
- 15. Software development
- PART 3 ADVANCED THEORY
- 16. Data representation
- 17. Communication and Internet technologies
- 18. Boolean algebra and logic circuits
- 19. Processor and computer architecture
- 20. System software
- 21. Security
- 22. Monitoring and control systems
- PART 4 FURTHER PROBLEM-SOLVING AND PROGRAMMING SKILLS
- 23. Computational thinking and problem-solving
- 24. Algorithm design methods
- 25. Recursion
- 26. Further programming
- 27. Object-oriented programming (OOP)
- 28. Low level programming
- 29. Declarative programming
- 30. Software development
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