Year 9 SQA Computing: Interdisciplinary Integrated Question Training | Year 9 SQA 计算机:跨学科综合题型训练

📚 Year 9 SQA Computing: Interdisciplinary Integrated Question Training | 跨学科综合题型训练

The SQA Year 9 Computing curriculum is not just about learning to code or understanding hardware in isolation – it requires pupils to apply computational thinking across a range of real‑world contexts. A key skill examined is the ability to integrate knowledge from mathematics, science, geography, art and even ethics into computing tasks. This article presents a structured revision series focused on interdisciplinary question types, helping you recognise common patterns, transfer skills confidently and build exam technique. Each section models the kind of blended problem you will meet in assessments and provides both English and Chinese explanations to strengthen bilingual understanding.

SQA Year 9 计算机课程不只是孤立地学习编程或硬件知识,它要求学生将计算思维应用到一系列真实情境中。考察的关键能力之一是将数学、科学、地理、艺术甚至伦理学知识融入计算任务。本文提供一个结构化的复习系列,聚焦跨学科题型,帮助你识别常见模式、自信地迁移技能并建立考试技巧。每个部分都模拟了考试中可能遇到的混合型问题,并提供中英双语解释,以加深理解。

1. Understanding the SQA Approach | 理解SQA评估方式

SQA assessments for computing at this level are designed around problem‑solving scenarios that rarely belong to a single subject. A task might begin with a scientific dataset, ask you to design a spreadsheet model, then require you to explain the ethical implications of automated decision‑making. Examiners look for evidence of analysis, design, implementation and evaluation, all while drawing on outside knowledge from other disciplines. Familiarity with this integrated style reduces anxiety and helps you structure answers logically.

这一级别的SQA计算机评估围绕问题解决场景设计,很少只涉及单一学科。一个任务可能从科学数据集开始,要求你设计电子表格模型,然后解释自动化决策的伦理影响。考官寻找分析、设计、实施和评估的证据,同时还需要你运用其他学科的知识。熟悉这种综合风格可以减少焦虑,并帮助你逻辑清晰地组织答案。

Typical command words such as “Justify”, “Compare” or “Evaluate” signal that a purely technical answer is not enough. You must refer to context – for example, when choosing a data type for a weather station, you need to justify why a float is better than an integer by mentioning measurement precision, which links to physics and geography. Understanding this connection turns a basic programming question into an interdisciplinary one.

常见的指令词如“论证”“比较”或“评估”表明纯粹的技术性答案是不够的。你必须结合背景作答——例如,为气象站选择数据类型时,你需要通过提及测量精度,论证为什么浮点型比整型更好,这就联系到了物理和地理。理解这种联系能将一个基本的编程问题转变为跨学科问题。


2. Data Representation and Numeracy | 数据表示与计算能力

Data representation is a core topic that naturally blends computing with mathematics. Binary, denary, hexadecimal and ASCII conversions require fluency with place value, exponents and modular arithmetic. An exam question might provide the RGB colour code (180, 75, 210) and ask you to convert each component into 8‑bit binary, then combine them to form a 24‑bit hexadecimal string. This tests both binary‑hex conversion and the mathematical concept of base‑16 place values.

数据表示是一个核心主题,自然地将计算机与数学融合在一起。二进制、十进制、十六进制和ASCII转换需要熟练掌握位值、指数和模运算。考试题目可能给出RGB颜色代码(180, 75, 210),要求你将每个分量转换为8位二进制,然后组合成一个24位十六进制字符串。这既考察了二进制与十六进制的转换,也考察了十六进制位值的数学概念。

Using a table approach helps: 180₁₀ = 10110100₂, 75₁₀ = 01001011₂, 210₁₀ = 11010010₂. The concatenated binary string is 10110100 01001011 11010010. Grouping into nibbles (4 bits) gives B 4 4 B D 2, so the hex colour is #B44BD2. This answer requires careful application of the positional system, a skill shared with powers and indices from maths.

使用表格法有帮助:180₁₀ = 10110100₂,75₁₀ = 01001011₂,210₁₀ = 11010010₂。拼接后的二进制串为10110100 01001011 11010010。按四位分组得到B 4 4 B D 2,因此十六进制颜色是#B44BD2。这个答案需要仔细应用位权体系,这与数学中的幂和指数技能相通。

Beyond conversion, understanding how sound sampling or image resolution connects to data size links to physics (wave properties) and art (pixel density). A typical interdisciplinary question: “A 10‑second mono sound file is recorded at a sample rate of 44.1 kHz with a bit depth of 16. Calculate the file size in megabytes and explain how increasing the sample rate affects the frequency range that can be captured.” Here you apply the formula Size = sample rate × bit depth × duration ÷ (8 × 1024²), then relate the Nyquist theorem to hearing thresholds – pure physics intertwined with computing.

除了转换,理解声音采样或图像分辨率如何与数据大小相关,则联系到物理(波的特性)和艺术(像素密度)。一个典型的跨学科问题:“一段10秒的单声道声音文件以44.1 kHz的采样率和16位深度录制。计算文件大小(兆字节),并解释提高采样率如何影响能捕捉到的频率范围。”这里你需应用公式Size = 采样率 × 位深度 × 时长 ÷ (8 × 1024²),然后将奈奎斯特定理与听觉阈值相联系——纯物理与计算交织。


3. Algorithmic Thinking in Science | 科学中的算法思维

Writing algorithms is not limited to computing labs; it is essential for modelling scientific experiments. A common SQA task presents a physics simulation – e.g. modelling the bounce of a ball taking gravity and air resistance into account – and asks you to design a flowchart or pseudocode. You must identify variables such as height, velocity and elasticity, then construct a loop that updates position until the ball comes to rest. The logical structure mirrors the scientific method of hypothesis, iteration and refinement.

编写算法并不局限于计算机实验室,它对模拟科学实验至关重要。一个常见的SQA任务会呈现一个物理模拟——例如,模拟一个球在重力和空气阻力作用下的弹跳——并要求你设计流程图或伪代码。你必须确定高度、速度、弹性等变量,然后构造一个循环来更新位置,直到球静止。这种逻辑结构反映了科学方法中的假设、迭代与完善。

Consider this pseudocode snippet: SET height = 2.0, velocity = 0, g = 9.8, bounce factor = 0.7; WHILE height > 0.001 DO { velocity = velocity + g × dt; height = height + velocity × dt; IF height <= 0 THEN { height = -height × bounce factor; velocity = -velocity × bounce factor; } } . Here, the use of a conditional inside a loop models energy loss – a concept directly borrowed from mechanics. You are assessed on correct data types (float), loop termination logic and the physical realism of the model.

考虑如下伪代码片段:设 height = 2.0, velocity = 0, g = 9.8, bounce factor = 0.7;当 height > 0.001 时循环 { velocity = velocity + g × dt; height = height + velocity × dt; 如果 height <= 0 则 { height = -height × bounce factor; velocity = -velocity × bounce factor; } }。这里,循环内的条件语句模拟了能量损失——一个直接借用力学的概念。评价标准是正确使用数据类型(浮点型)、循环终止逻辑以及模型的物理真实性。

In chemistry, algorithmic thinking appears when balancing equations or modelling reaction rates. An SQA question might ask you to write a program that takes the initial masses of reactants and predicts the limiting reagent. This requires conditional branching based on molar ratios, converting chemical knowledge into logical operators (<, >, ==). The interdisciplinary bridge strengthens both subjects.

在化学中,当配平方程式或模拟反应速率时,算法思维就会出现。SQA问题可能要求你编写一个程序,输入反应物的初始质量,并预测限制试剂。这需要基于摩尔比的条件分支,将化学知识转化为逻辑运算符(<、>、==)。跨学科桥梁加强了两个学科。


4. Binary Logic and Mathematics | 二进制逻辑与数学

Boolean logic is the foundation of digital circuits and programming, but its roots lie in mathematical logic. Truth tables, AND, OR, NOT, NAND and NOR gates are directly analogous to propositional logic connectives. An interdisciplinary exercise might give you a security system scenario: “A door unlocks only if either a keycard is swiped (A) AND a PIN is entered correctly (B), OR an override code is used (C).” Express this in Boolean notation and simplify it using algebraic laws.

布尔逻辑是数字电路和编程的基础,但其根源在于数理逻辑。真值表、与、或、非、与非、或非门直接类似于命题逻辑联结词。一个跨学科练习可能给出安保系统场景:“只有当刷卡(A)并且输入正确的PIN(B),或者使用紧急解锁码(C)时,门才会打开。”用布尔表达式表示它,并利用代数定律化简。

The expression is Q = (A AND B) OR C. Using distribution laws or truth table verification, we can explore equivalences. From a mathematical standpoint, you can apply identities such as Q = (A OR C) AND (B OR C) to redesign the circuit for cost efficiency. This links to algebra and optimisation, key topics in Year 9 mathematics.

表达式为 Q = (A AND B) OR C。使用分配律或真值表验证,我们可以探索等价形式。从数学角度看,你可以应用恒等式如 Q = (A OR C) AND (B OR C) 来重新设计电路以节省成本。这关联到代数和优化,是Year 9数学的关键课题。

Further, binary addition and overflow detection touch upon modular arithmetic. An exam question might ask: “Add the 8‑bit signed binary numbers 01101011₂ and 01011101₂ using two’s complement, and state the overflow flag.” This requires integer arithmetic and recognition that 107 + 93 = 200 exceeds the signed 8‑bit range (–128 to 127), setting the overflow flag. Understanding two’s complement negative representation itself is a mathematical abstraction.

此外,二进制加法与溢出检测涉及模运算。考试题目可能要求:“用二进制补码加法计算8位有符号数01101011₂和01011101₂,并说明溢出标志。”这需要整数运算并认识到107+93=200超出了8位有符号范围(–128到127),从而置位溢出标志。理解补码负数的表示本身就是一种数学抽象。


5. Databases and Geographic Data | 数据库与地理数据

Databases are a natural platform for combining computing with geography. A typical SQA scenario provides a table of cities with fields: City, Country, Latitude, Longitude, Annual Rainfall, Population. You might be asked to write SQL queries that extract climate‑related information or sort countries by population density – a direct integration of geographic knowledge. For example: “SELECT City FROM WorldCities WHERE AnnualRainfall < 250 AND Latitude BETWEEN 23.5 AND 66.5;” identifies arid cities in the Northern temperate zone, which demands an understanding of climate zones.

数据库是计算机与地理结合的天然平台。一个典型的SQA场景会提供一个城市表,字段包括:城市、国家、纬度、经度、年降雨量、人口。你可能会被要求编写SQL查询,提取气候相关信息,或按人口密度排序国家——这直接融合了地理知识。例如:“SELECT City FROM WorldCities WHERE AnnualRainfall < 250 AND Latitude BETWEEN 23.5 AND 66.5;” 找出了北温带干旱城市,这需要理解气候带。

Designing a relational database for an environmental agency also touches on biology and chemistry: tables for Species, Habitat, Water pH and Observation Date. Normalisation requires you to identify primary keys and avoid data duplication, but you must also appreciate why pH is stored as a decimal (float) rather than an integer – scientific precision matters. Thus, database design becomes an interdisciplinary exercise.

为环境机构设计关系数据库也涉及生物学和化学:物种、栖息地、水体pH值和观测日期等表。规范化要求你确定主键并避免数据重复,但你还必须理解为什么pH值要以小数(浮点型)存储而不是整数——科学精度很重要。因此,数据库设计成为跨学科练习。

Using Boolean operators in queries enables geographic filtering. For instance, “WHERE Country = ‘Brazil’ AND (Latitude < -23.5 OR Biome = 'Rainforest')” combines absolute location with ecosystem classification. The ability to translate a geographic question into a logical database query is a high‑order skill assessed frequently in SQA integrated tasks.

在查询中使用布尔运算符可以实现地理过滤。例如,“WHERE Country = ‘Brazil’ AND (Latitude < -23.5 OR Biome = 'Rainforest')” 将绝对位置与生态系统分类结合起来。将地理问题转化为逻辑数据库查询的能力是高阶技能,在SQA综合任务中经常受到评估。


6. Spreadsheet Modelling for Physics | 物理中的电子表格建模

Spreadsheets are not just accountancy tools; they are powerful for simulating physical systems. A classic interdisciplinary challenge: “Using a spreadsheet, model the distance travelled by a car under constant acceleration from rest over 10 seconds, with time increments of 0.5 s. Plot the velocity‑time and distance‑time graphs.” You will use cell formulas like =A3+0.5 for time, =$B$1*A3 for velocity (v = at), and =B3*0.5+C2 (trapezoidal rule) for distance. The task assesses absolute and relative cell referencing as well as the kinematic equation s = ½ a t².

电子表格不仅仅是会计工具;它们对于模拟物理系统非常强大。一个经典的跨学科挑战:“使用电子表格,模拟一辆汽车从静止开始以恒定加速度行驶10秒,时间步长为0.5秒。绘制速度-时间和距离-时间图。”你将使用单元格公式,如时间列 =A3+0.5,速度列 =$B$1*A3(v=at),距离列使用梯形法则 =B3*0.5+C2。该任务评估绝对引用和相对引用以及运动学方程 s=½ a t²。

Graphing skills tested here link to mathematics and physics data presentation. SQA may ask you to add a trendline and display the equation, then analyse the gradient to confirm acceleration. This confirms that spreadsheet software is an analytical tool, not merely a documentation medium. Interpreting the R² value from a scatter plot also strengthens statistical literacy.

这里考察的绘图技能与数学和物理的数据呈现相关联。SQA可能会要求添加趋势线并显示方程,然后分析斜率以验证加速度。这证实了电子表格软件是一种分析工具,而不仅仅是记录媒介。从散点图中解读R²值也能加强统计素养。

Conditional formatting can be used to highlight when speed exceeds a legal limit, tying in social and legal contexts. For instance, cells with velocity > 30 mph could turn red. This introduces the idea of automated alerts, linking to ethical discussions about speed cameras – a subtle but important interdisciplinary connection.

条件格式可用于当速度超过法定限制时高亮显示,联系到社会和法律背景。例如,速度>30 mph的单元格可变红。这引入了自动警报的概念,链接到关于测速摄像头的伦理讨论——一个微妙但重要的跨学科联系。


7. Programming and Art | 编程与艺术

Creative coding tasks merge computer science with visual arts. SQA may provide a design brief: “Write a program using turtle graphics or a similar library to draw a regular polygon with a user‑defined number of sides and side length. The polygon must be filled with a gradient pattern.” This requires you to calculate the exterior angle (360/n) – a geometric concept – and implement loops that change fill colour incrementally. The interdisciplinary link with art is obvious; you are assessed on aesthetic outcome as well as algorithmic accuracy.

创意编程任务将计算机科学与视觉艺术融合。SQA可能提供一个设计概要:“使用海龟绘图或类似库编写程序,绘制具有用户定义边数和边长的正多边形。多边形必须用渐变图案填充。”这要求你计算外角(360/n)——一个几何概念——并实现逐渐改变填充颜色的循环。与艺术的跨学科链接是明显的;评估既看重美学效果,也看重算法准确性。

Consider generating a Mondrian‑inspired grid using random RGB colours. You need to understand coordinate systems, random number generation and modulo conditions to create balanced compositions. In computing terms, it practises nested loops and lists; in art terms, it explores colour theory and proportion. A follow‑up question might ask you to evaluate the effectiveness of computational randomness compared to human artistic choice – an evaluation that bridges both domains.

考虑使用随机RGB颜色生成蒙德里安风格的网格。你需要理解坐标系、随机数生成和取模条件来创造平衡的构图。从计算机术语看,这练习了嵌套循环和列表;从艺术术语看,它探索了色彩理论和比例。后续问题可能要求评估计算随机性与人类艺术选择相比的有效性——这是一座连接两个领域的评价桥梁。

SQA sometimes includes tasks involving ASCII art or pixel‑based images, where you manipulate character grids to produce patterns. For example, mapping brightness values (0‑255) to characters like “@”, “%”, “#”, “*”, “+”, “.” creates photographic‑style text images. This integrates data representation with visual expression, reinforcing how binary values encode everything, including art.

SQA有时会包括涉及ASCII艺术或基于像素的图像的任务,你通过操作字符网格来产生图案。例如,将亮度值(0‑255)映射到字符如“@”、“%”、“#”、“*”、“+”、“.”,创建照片风格的文本图像。这融合了数据表示与视觉表达,强化了二进制值如何编码一切,包括艺术。


8. Network Security and Ethics | 网络安全与伦理

Network security questions frequently draw on ethical and social themes. A scenario might describe a school’s network and ask you to recommend security measures: firewalls, encryption, user access levels and acceptable use policies. You must not only explain how a firewall inspects packets but also discuss privacy implications and the balance between security and convenience. This aligns with PSHE (Personal, Social, Health and Economic education) and citizenship curricula.

网络安全问题经常利用伦理和社会主题。一个场景可能描述学校的网络,并要求你推荐安全措施:防火墙、加密、用户访问级别和可接受使用策略。你不仅要解释防火墙如何检查数据包,还要讨论隐私影响以及安全与便利之间的平衡。这与PSHE(个人、社会、健康和经济教育)以及公民课程一致。

Encryption tasks blend mathematics: explaining symmetric encryption with Caesar or Vigenère ciphers uses modular arithmetic. A question may ask: “Encrypt the word ‘COMPUTER’ using a Caesar shift of +5, giving the ciphertext and explaining why a longer key in Vigenère improves security.” The keyword shift operation is c = (p + k) mod 26, directly using mathematical notation. Then discussing frequency analysis links to statistics and linguistic patterns.

加密任务融合了数学:用凯撒或维吉尼亚密码解释对称加密使用了模运算。一个问题可能问:“用凯撒移位+5加密单词‘COMPUTER’,给出密文并解释维吉尼亚密码中为什么更长的密钥能提高安全性。”关键字移位操作是c = (p + k) mod 26,直接使用数学符号。然后讨论频率分析联系到统计和语言模式。

Data protection acts and ethical hacking scenarios further require balanced arguments. You may be asked to evaluate the impact of a data breach on individuals, referencing real‑world examples and the principles of the Data Protection Act. Such answers demand both technical vocabulary (e.g. “unencrypted personal identifiers”) and ethical reasoning (e.g. “right to privacy vs. public security”). This synthesis of legal, ethical and technical knowledge is a hallmark of SQA’s integrated approach.

数据保护法案和道德黑客场景进一步要求平衡论证。你可能会被要求评估数据泄露对个人的影响,引用真实案例和数据保护法案的原则。这种答案既需要技术词汇(如“未加密的个人标识符”),也需要伦理推理(如“隐私权与公共安全”)。法律、伦理和技术知识的融合正是SQA综合方法的标志。


9. Web Technologies and Media Studies | 网络技术与媒体研究

Creating a multi‑page website for a school science fair involves both HTML/CSS skills and an understanding of media design principles. SQA tasks often require you to write valid HTML5 code using semantic tags like <header>, <article> and <footer>, while also considering target audience, accessibility and responsive design. You may be asked to justify your colour scheme choice in terms of contrast ratios for visually impaired users – a clear intersection with media studies and inclusive design.

为学校科学展创建一个多页网站,既涉及HTML/CSS技能,也需要理解媒体设计原则。SQA任务通常要求你使用

、

和

等语义标签编写有效的HTML5代码,同时考虑目标受众、可访问性和响应式设计。你可能需要从视障用户对比度的角度论证配色方案的选择——这显然与媒体研究和包容性设计交叉。

Embedding a video and providing fallback content requires knowledge of video formats (MP4, WebM) and bandwidth considerations, which involve a little physics (data transfer rates). A question might give you an average connection speed and ask you to estimate the minimum time to buffer a 15 MB video clip. This simple division problem (Time = Size ÷ Speed) bridges networking and real‑world media consumption.

嵌入视频并提供后备内容需要了解视频格式(MP4、WebM)和带宽考虑,这涉及一点物理知识(数据传输速率)。题目可能给出平均连接速度,要求你估算缓冲一个15 MB视频片段的最短时间。这个简单的除法问题(时间 = 大小 ÷ 速度)连接了网络与现实世界的媒体消费。

CSS styling and layout using Flexbox or Grid require spatial reasoning akin to geometry. For example, creating a 3‑column layout where the central column is twice the width of the side columns involves fraction calculations: width: 1fr 2fr 1fr. Debugging why an element overflows its container often demands an understanding of box‑model maths (margin + border + padding + content). This reinforces dimensional analysis and measurement skills from mathematics.

使用Flexbox或Grid进行CSS样式设计和布局需要类似几何的空间推理。例如,创建一个中央列是两侧列宽度两倍的三列布局,涉及分数计算:width: 1fr 2fr 1fr。调试元素为何溢出其容器,通常需要理解盒模型数学(边距+边框+内边距+内容)。这加强了数学中的尺寸分析和测量技能。


10. Integrated Case Study: Environmental Monitoring | 综合案例:环境监测

Let us work through a full interdisciplinary case study that mirrors an SQA coursework assignment. Scenario: “A local river conservation group wants to monitor water quality. They deploy sensors measuring temperature (°C), turbidity (NTU) and dissolved oxygen (mg/L) every hour. The data is stored in a CSV file. Your task is to design a system that analyses the data, raises an alert if any reading exceeds safe thresholds, and visualises trends.” This case blends environmental science, data handling and programming.

让我们完成一个完整的跨学科案例研究,模拟SQA课程作业。场景:“当地河流保护组织希望监测水质。他们部署传感器,每小时测量温度(°C)、浊度(NTU)和溶解氧(mg/L)。数据存储在CSV文件中。你的任务是设计一个系统,分析数据,当任何读数超过安全阈值时触发警报,并可视化趋势。”这个案例融合了环境科学、数据处理和编程。

First, you must identify data types: temperature can be a float, turbidity an integer, dissolved oxygen a float. The CSV file needs correct parsing using Python’s csv module. Then you define safe ranges based on environmental standards: e.g., dissolved oxygen must stay ≥ 5 mg/L for healthy aquatic life. An alert algorithm uses a loop to check each record and, if any value is outside the range, appends a warning message to a list. This involves conditional logic and list operations.

首先,你必须确定数据类型:温度可以是浮点数,浊度为整数,溶解氧为浮点数。CSV文件需要使用Python的csv模块正确解析。然后根据环境标准定义安全范围:例如,溶解氧必须保持在≥ 5 mg/L以保证健康水生生物。警报算法使用循环检查每条记录,如果有任何值超出范围,则将警告消息追加到列表。这涉及条件逻辑和列表操作。

For visualisation, you may use a spreadsheet chart or a Python library like matplotlib. Plotting multiple axes (temperature on left, oxygen on right) requires dual y‑axes – a graph design skill that touches on scientific communication. The evaluation section could ask you to discuss the reliability of the sensors, the impact of data anomalies (spikes) and whether the threshold model is sufficient, linking to scientific uncertainty concepts.

对于可视化,你可以使用电子表格图表或像matplotlib这样的Python库。绘制多轴图(左侧温度,右侧氧含量)需要双y轴——一种涉及科学交流的图表设计技能。评估部分可能要求你讨论传感器的可靠性、数据异常(尖峰)的影响以及阈值模型是否充分,联系到科学不确定性的概念。

Alert threshold: IF temperature > 25°C OR dissolved oxygen < 5.0 THEN “WARNING: Ecosystem stress”

警报阈值:如果温度 > 25°C 或 溶解氧 < 5.0 则 “警告:生态系统压力”

This case study encapsulates how computing solves real environmental problems, fusing data representation, algorithms, HCI (through dashboard design) and scientific context – the essence of SQA interdisciplinary assessment.

这个案例研究概括了计算机如何解决真实环境问题,融合数据表示、算法、人机交互(通过仪表板设计)和科学背景——SQA跨学科评估的精髓。


11. Exam‑Style Questions Breakdown | 考试题型解析

Let’s dissect two authentic multi‑step questions that combine subjects. Question 1 (Computing & Maths): “A digital image is 400 × 300 pixels with a colour depth of 24 bits. The image is stored as a bitmap. (a) Calculate the file size in kilobytes, stating any formula used. (b) The image is resized to 800 × 600 pixels. By what factor does the file size increase? (c) Explain one advantage and one disadvantage of using lossless compression on this image for a geography fieldwork report where colour accuracy is crucial.” Part (a) requires the formula Total bits = width × height × colour depth, then conversion using /(8×1024). Part (b) is a direct proportion – area quadruples, so file size quadruples – mathematical reasoning. Part (c) demands knowledge of PNG vs JPEG and consideration of the geography context (accurate map colours).

让我们剖析两道融合各学科的真实多步骤题目。题目1(计算机与数学):“一幅数字图像为400×300像素,颜色深度为24位。图像以位图形式存储。(a) 以千字节为单位计算文件大小,并说明所使用的公式。(b) 图像被调整大小为800×600像素。文件大小增加了多少倍?(c) 在地理实地考察报告中颜色准确性至关重要,解释对此图像使用无损压缩的一个优点和一个缺点。”第(a)部分需要公式总位数 = 宽×高×颜色深度,然后使用÷(8×1024)转换。第(b)部分是正比例——面积变为四倍,因此文件大小变为四倍——数学推理。第(c)部分要求了解PNG与JPEG,并考虑地理背景(精确的地图颜色)。

Question 2 (Computing & Science): “A weather station uses a microcontroller to log temperature every 10 minutes. The sensor returns a voltage between 0 and 3.3 V, mapped linearly to –10°C to 40°C. (a) Write a formula that converts the digital reading (an integer 0–1023 from a 10‑bit ADC) into temperature. (b) The data is sent as a text message in the format ‘Temp:19.2’. Calculate the approximate size of a month’s data (30 days) in kilobytes, assuming ASCII encoding. (c) Discuss why the average temperature calculated from discrete readings might differ from the true continuous average, linking to sampling theory.” Here, ADC mapping uses linear interpolation (T = (reading/1023)×50 – 10) – applied physics. Part (b) counts characters per message, multiplies by 144 readings/day × 30, converting to KB. Part (c) ties to science: sampling frequency and aliasing.

题目2(计算机与科学):“气象站使用微控制器每10分钟记录一次温度。传感器返回0到3.3

Published by TutorHao | Year 9 Computer Science Revision Series | aleveler.com

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