Programming Fundamentals for IGCSE Science | IGCSE 科学编程基础

2026-08-29 23:50 · 本文部分内容由AI辅助创作

📚 Programming Fundamentals for IGCSE Science | IGCSE 科学编程基础

Programming is the craft of writing precise instructions that a computer can follow. For IGCSE Science students, programming opens the door to modelling real-world phenomena, analysing experimental data, and developing logical thinking. This guide introduces the core programming concepts you need, using scientific examples throughout.

编程是编写计算机能够执行的精确指令的艺术。对于 IGCSE 科学学生而言，编程为你打开了模拟真实世界现象、分析实验数据和培养逻辑思维的大门。本指南将贯穿科学实例，介绍你所需掌握的核心编程概念。

1. Why Programming Matters in Science | 为什么编程在科学中重要

Science is full of repeated calculations: converting units, averaging readings, and plotting graphs. A computer program can perform these tasks instantly and without human error, freeing scientists to focus on interpreting the meaning behind the numbers.

科学中充满了重复性计算：单位换算、读数取平均值以及绘制图表。计算机程序可以即时且无差错地完成这些任务，让科学家能够专注于解读数字背后的意义。

Many modern scientific discoveries rely on computer models. For example, climate scientists program simulations to track changes in atmospheric CO₂ concentration over decades. Even a simple program can simulate radioactive decay or the growth of a bacterial colony, making abstract concepts tangible.

许多现代科学发现依赖于计算机模型。例如，气候科学家编写程序来模拟数十年间大气二氧化碳浓度的变化。即使是一个简单的程序也能模拟放射性衰变或菌落生长，使抽象概念变得具体可感。

Programming also mirrors the scientific method: you form a hypothesis, express it as an algorithm, test it with real data, and refine the model based on results. This problem-solving approach is called computational thinking, and it is a vital skill for any scientist.

编程也呼应了科学方法：你提出假设，将其表达为算法，用真实数据进行测试，并根据结果完善模型。这种解决问题的方式称为计算思维，是任何科学家都必不可少的技能。

2. Algorithms and Flowcharts | 算法与流程图

ure its volume, then apply the formula ρ = m ÷ V. Each step must be clear and unambiguous.

算法是解决问题的逐步指令集合。例如，要计算液体的密度，你需要先测量其质量，再测量其体积，然后应用公式 ρ = m ÷ V。每一步都必须清晰且无歧义。

ρ = m ÷ V

A flowchart is a visual representation of an algorithm. The key symbols you must recognise are the oval for start and end, the rectangle for a process or calculation, the diamond for a decision, the parallelogram for input and output, and arrows to show the flow of control.

流程图是算法的可视化表示。你必须识别的关键符号有：椭圆表示开始和结束，矩形表示过程或计算，菱形表示判断，平行四边形表示输入和输出，箭头表示控制流方向。

Symbol	Name	Purpose
Oval	椭圆	Start or end of an algorithm
Rectangle	矩形	Process or calculation
Diamond	菱形	Decision, yes or no
Parallelogram	平行四边形	Input or output

Pseudocode is a human-readable way to describe an algorithm without worrying about any specific programming language. For the density program, the pseudocode is simply: INPUT mass, INPUT volume, density ← mass / volume, OUTPUT density.

伪代码是一种人类可读的算法描述方式，无需关注特定编程语言的细节。对于密度程序，伪代码就是：输入质量，输入体积，密度 ← 质量 ÷ 体积，输出密度。

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