📚 CIE A-Level Computer Science: Core Topics and Study Plan | CIE A-Level 计算机：核心知识点与学习规划
Cambridge International A-Level Computer Science (9618) builds a thorough understanding of computer systems, algorithms, programming, and the ethical implications of technology. This guide summarises the core knowledge areas and offers a practical study plan for the CIE syllabus.
剑桥国际 A-Level 计算机科学（9618）培养学生对计算机系统、算法、编程以及技术伦理影响的全面理解。本文总结了核心知识领域，并为 CIE 考纲提供了实用的学习规划。
1. Syllabus Overview | 考纲概览
The 9618 syllabus is divided into AS and A2 Levels. AS content covers fundamental theory and programming, while A2 extends these ideas with advanced systems, abstract data structures and high-level problem solving. Candidates sit four written papers for the full A-Level qualification.
9618 考纲分为 AS 和 A2 两个阶段。AS 内容涵盖基础理论与编程，A2 则进一步拓展到高级系统、抽象数据结构与高层次问题解决。完整 A-Level 资格需要参加四份书面考试。
| Paper | 试卷 | Marks | 分数 | Time | 时长 | Contribution | 占比 |
| 1 Computer Systems (AS) | 75 | 1h 30m | 25% of A-Level |
| 2 Algorithms and Programming (AS) | 75 | 2h | 25% of A-Level |
| 3 Computer Systems (A2) | 75 | 1h 30m | 25% of A-Level |
| 4 Algorithms and Programming (A2) | 75 | 2h | 25% of A-Level |
The table above shows the official weighting for the current CIE specification. Notice that Paper 1 and Paper 2 together form the AS qualification, and Papers 3 and 4 form the A2 component.
上表显示了当前 CIE 考纲的官方权重。注意 Paper 1 和 Paper 2 共同构成 AS 资格，Paper 3 和 Paper 4 构成 A2 部分。
2. Information Representation | 信息表示
Computers store all data in binary. Candidates must be able to convert between denary, binary and hexadecimal systems, perform binary arithmetic, and understand how characters, images and sound are encoded.
计算机以二进制存储所有数据。考生需要能够在十进制、二进制和十六进制之间转换，执行二进制运算，并理解字符、图像和声音的编码方式。
For characters, ASCII uses 7 or 8 bits, while Unicode provides a global encoding standard supporting all writing systems. Images are represented by pixels; colour depth determines the number of representable colours, while resolution determines detail. Sound is captured by sampling at regular intervals; higher sampling rate and bit depth increase fidelity.
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