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Learn how to create more HTML pages and link them together using the anchor tag. 10. More Pages HTML Guide Watch on YouTube: Create a New Page Create a new page by either clicking the new page icon in Notepad ++ or selecting File then New . Then you need to save your new page with an appropriate name as a HTML file . Create a new page, save it and add information to it. Your new page needs the same essential tags as your original page: Then you can add the rest of your content . Link to Other Pages The tag is used to link between pages , just like it is used to hyperlink to other websites. Make sure you type your web pages exactly as you have saved them. Make sure all of your web pages are saved in the same folder . Include links between pages on each new page. A link to the second page. Don't forget a link back to your homepage on each new page. Why not add more pages to make your website more detailed? 9. Colours & Fonts HTML Guide

An explanation and introduction to the OCR Level 3 Cambridge Advanced National in Computing specification. This certificate (H029) or extended certificate (H129) is an Alternative Academic Qualification (AAQ). Level 3 Alternative Academic Qualification (AAQ) / Cambridge Advanced National In Computing Computing: Application Development Everything you need to know about this course: The Cambridge Advanced National in Computing: Application Development is a new course that began in September 2025 . It contains both exam and NEA (coursework ) units and focuses on developing software prototypes for applications such as websites , video games and even virtual reality . The video to the left explains all the key details of this new course, but remember, things can change so the OCR website will have the latest updates . Exam Units: Unit F160: Fundamentals of Application Development F160 YouTube Playlist Unit F161: Developing Application Software F161 YouTube Playlist These pages are based on content from the OCR Cambridge Advanced National in Computing (AAQ) specification .

A glossary of important code to be used in Greenfoot, such as random movement, using a counter removing objects and sound. Aimed at the Eduqas / WJEC GCSE specification. Greenfoot Code Glossary Greenfoot Home This code will work for Version 2.4.2 which is used in Component 2 of the 2016 WJEC/Edquas specification . Key Down 270 if (Greenfoot.isKeyDown("right" )) { setRotation(0); move(1); } 180 90 0 Bounce At Edge if (isAtEdge()) { turn(180); } move(1); if (Greenfoot.getRandomNumber(10)<1) { turn(Greenfoot.getRandomNumber(90) - 45); } Random Remove Object if (isTouching(Apple.class )) { removeTouching(Apple.class ); } Play Sound Greenfoot.playSound("pop.wav" ); Stop Greenfoot.stop(); Counter - (Write this code when an object is removed) Counter counter = (Counter) getWorld().getObjects(Counter.class ).get(0); counter.add(1); Stuck? If you start typing but can't remember what commands come next, press Ctrl and Space together to show a list of all possible commands that you can use.

Learn about software development methodologies such as the waterfall lifecycle, agile methodologies, extreme programming, the spiral model and rapid application development (RAD). Based on the OCR H446 Computer Science A-Level specification. Exam Board: OCR A-Level 2.3 - Software Development Specification: Computer Science H446 Watch on YouTube : Waterfall Lifecycle Extreme Programming Spiral Model Rapid Application Development Software development models are step-by-step methods for creating and maintaining software . They are used to keep projects organised , reduce mistakes and make sure the finished program meets the user’s needs . Different models suit different types of projects . Waterfall Lifecycle The waterfall model is a linear and structured approach where each phase is completed one at a time in order . It needs all requirements to be clearly defined at the start , with little to no changes allowed once a phase is finished . This model is best suited for projects with fixed requirements and minimal risk of change . Extreme Programming Extreme Programming ( XP ) is a type of agile methodology that uses an iterative and flexible approach, progressing in small , usable chunks called iterations (or sprints ). It relies on frequent collaboration with stakeholders and user feedback to adapt to changing requirements . This model is ideal for dynamic projects where quick delivery and frequent updates are important. Spiral Model The spiral model combines iterative development and risk management , progressing through repeated cycles of planning , risk assessment , engineering ( development and testing ) and evaluation . Each loop focuses on identifying and addressing risks early in the project. It is ideal for complex and high-risk projects where requirements may change over time . Rapid Application Development The rapid application development ( RAD ) model focuses on quickly building software through iterative development and frequent user feedback . It uses reusable components , time-boxing and constant feedback to speed up the delivery of an effective final product . RAD is best suited for projects that need to be completed quickly and where requirements can evolve during development . Q uesto's K ey T erms Software Development: waterfall lifecycle, agile methodology, extreme programming (XP), spiral model, rapid application development (RAD) D id Y ou K now? Agile development is named after the ' Agile Manifesto ' - a set of principles for software development agreed by a group of developers at a ski resort in Utah , USA in 2001 . 2.2 - Applications Generation A-Level Topics 2.4 - Programming Languages

Learn how to spot a phishing email and other ways to stay secure online including choosing strong passwords. Scams & Staying Safe Part 1: Phishing Scams A phishing scam is when an attacker will send you an email pretending to be someone you trust . They are trying to get your username, password or other sensitive information . What does a phishing email look like? Capital letters and exclamation marks may be used to create a sense of urgency. A phishing email might be sent from a long, unrecognisable email address . It may be similar but slightly different to a real email address. An attacker might not know your name , so they will use your email address. A phishing email might contain spelling and grammar mistakes , so look carefully. Check any links carefully , if it looks suspicious, don't click it. Phishing emails try to rush you into making a silly decision. Don't panic and read the email carefully. Part 2: Secure webpages When you are browsing the web , you should stick to websites that you know and trust. Don't click on any links that you don't recognise , especially from strangers . How do i know a web page is secure? HTTP is a protocol (set of rules) for displaying a web page . If the web address at the top of your web browser starts with HTTP then it is not secure . Do not enter any personal information on an insecure web page. HTTPS is a protocol (set of rules) for displaying a secure web page. If you see a padlock in the address bar of your web browser then you know it is safer to enter information . Part 3: Strong passwords Your passwords must be secure so they cannot be broken easily. How to choose a strong password: ********* Passwords should be more than at least 8 characters long. Passwords should use numbers and punctuation marks . Aa Bb Cc Dd Ee Passwords should use uppercase and lowercase letters . You should use a different password for each account that you have. Passwords should not use words found in the dictionary . KS3 Home

Test your ability to create a more complex program in Python based on a given scenario. Perfect for students learning GCSE Computer Science in UK schools. Extended Task 7 'Guess the Number' Multiplayer Game A primary school teacher wants to create a fun activity for their students to play when it is raining and they have to stay inside during break and lunch. Five pupils can play the game at once. Each player chooses a number between 1 and 100 . Then a random number is generated. Whoever was furthest from the random number is out of the game . The four remaining players then pick a new number . This continues with one player being removed each round until only one player is left and they are the winner. Add your own flair and additional features to your program as an extension, including preventing the same number being chosen by multiple players . For this task, you will need to create a document and include the following sections (with screenshots where appropriate): An introduction to explain the Purpose of your program . A List of Requirements for a successful program. Screenshots of your code (with comments in your code to show understanding). Testing – Create a plan to show how you will test your program and then explanations of any errors that you found and how they were fixed . An Evaluation of what worked, what didn’t, and how you met each of your requirements from your original list. Also, discuss further improvements that you could have made to improve your program. Reminders for this task: You will need to use loops to allow the users to enter their numbers. You may wish to use subroutines to decompose the problem into separate rounds. You will need to import the random library to generate a random number in each round. You will need to compare each number to the randomly selected answer using comparison operators such as > and <. There are multiple ways to approach this program, and your solution might look different from the example. Break the problem down and focus on one part at a time. Example solution: Introduction & Round One Round Two ⬅ Extended Task 6 (Word Game)

Learn how to make simple calculations in Python. Try practice tasks and learn through text and images. Perfect for students learning GCSE Computer Science in UK schools. top Python 3b - Simple Calculations Simple Calculations in Python You can perform calculations on numbers in Python using the four main operators : print ( 89 + 47) print ( 89 - 47) print ( 89 * 47) print ( 89 / 47) = 136 42 4183 1.8936170212765957 For addition , use the plus sign + To subtract numbers, use the dash symbol – (but not an underscore _ ) For multiplication , use an asterisk * which can be made by pressing Shift and 8 on a typical keyboard. To divide numbers, use a forward slash / (but not a backslash \ ) Use a string and the calculation to make the output user friendly . print ( "53 x 7 =" , 53 * 7) = 53 x 7 = 371 Simple Calculations Task 1 ( + - * /) Print four different simple calculations, using a different operator ( + - * / ) for each. Make the output user friendly by also showing the calculation (not just the answer). Copy the divide symbol here using Ctrl and C : ÷ Example solution: 18 + 35 = 53 18 - 35 = -17 18 x 35 = 630 18 ÷ 35 = 0.5142857142857142 Using Variables in Calculations You can also perform calculations on variables . The example below has the values of the variables pre-written. You need to store the result in a variable . The total variable has been used to store the result of the multiplication. num1 = 12 num2 = 20 total = num1 * num2 print ( "The total is" , total) = The total is 240 The example below allows the user to input values . num1 = int ( input ( "Enter number one: " )) num2 = int ( input ( "Enter number two: " )) total = num1 + num2 print ( "The to ta l is" , total) Enter number one: 21 Enter number two: 82 The total is 103 = Don't leave the user in the dark, better user interfaces are clear and explain what outputted values mean: num1 = int ( input ( "Enter number one: " )) num2 = int ( input ( "Enter number two: " )) answer = nu m1 - num2 print (num1 , "-" , n um2 , "=" , answer) Enter number one: 83 Enter number two: 29 83 - 29 = 54 = Simple Calculations Task 2 ( Divide by 3) Use an input line with int to ask the user to enter a number . Divide the number by 3 and output the result . Example solution: Enter a number: 11 11 divided by 3 is 3.6666666666666665 Simple Calculations Task 3 ( Add 3 Numbers ) Make three input lines using int to ask the user to enter three numbers . Add the numbers together and output the total . Example solution: Enter the first number: 45 Enter the second number: 32 Enter the third number: 19 The total is 96 ⬅ 3a - Data Types Section 3 Practice Tasks ➡

Learn how to edit code in Greenfoot to make objects move using the arrow keys. Use methods such as isKeyDown, setRotation and move. Part 2 of the Greenfoot Tutorial for the Eduqas / WJEC GCSE 2016 specification. Right-click on your main character class and select ' Open editor '. The editor allows you to write different methods - actions that the class can perform. The act() method will repeat whenever the Run button is pressed. 1. Open the Code Editor 2. Movement with the Arrow Keys Greenfoot Tutorial Watch on YouTube: 2. Copy the Code CAREFULLY You need to use an if statement to check if a certain key (like the right arrow key) is being pressed down . An if statement must be contained in standard brackets . After each if statement, the proceeding code must be typed within curly brackets - see the image on the left . Tip - If the brackets are on the same line then use the standard brackets ( and ) If the brackets are on different lines then use curly brackets { and } Your code must be perfect or it won't work. 'Greenfoot ' requires a capital G and the isKeyDown method most be written with a lowercase i but uppercase K and D . When the right arrow key is pressed the object will change its rotation to 0° which is right . It will also move 1 place in this direction. Rotations in Greenfoot: 3. Code the Other Arrow Keys Directly underneath the if statement for turning and moving right, add the code for turning and moving down . You can see in the diagram above the degrees to rotate in each of the four directions . Write the code to move in all four directions. Ensure you have the correct number of brackets or the program won't start. Remember brackets that start and end on the same line are ( ) and brackets over multiple lines are { } . 4. Compile and Run Click the Compile button at the top of the code editor . Then you can go back to the main Greenfoot window and click Run . Press the arrow keys to test your main character moves . Click on me if you've got an error that you're stuck with. < Part 1 - Setup & Populating the World Part 3 - Movement (Random) >

Learn how to create and use functions in Python. Try practice tasks and learn through text and images. Perfect for students learning GCSE Computer Science in UK schools. top Python 7b - Functions What is a Function? A function is a subroutine that takes one or more values from the main program and returns a value back. For example, transferring over a sphere’s radius from the main program for the function to calculate a surface area and then return that value to the main program. The two key differences between procedures and functions are: A function uses parameters to transfer data from the main program into the function. A function returns a value to the main program. Writing Functions A function is written the same way as a procedure but it uses parameters . In the example below the parameters are num1 and num2 which are sent from the main program to be used in the function . The return command is used to send a value back to the main program . Below is another example of a function that takes the radius of a sphere and works out the area in a separate function . The area is returned to the main program and printed. Subroutines can be reused and called with different parameters . The program below repeatedly takes an integer input and adds it to a total in a function that is then returned and printed. Practice Task Create a program similar to the sphere example above, this time to work out the volume of a cylinder. In the main program ask the user to enter the cylinder's radius and then its height. The actual calculation should be done in a function and returned to the main program. The calculation for a cylinder's volume is: pi x (radius x radius) x height Extension: Use the round command from section 9b to round the number to 2 decimal places. Example solution: Using Subroutines as a Menu Subroutines are often used to split programs up and give users a selection of options . Subroutines are used for this purpose because they are separate , making it easier to code and manage a program . The example below for a simplified online banking system uses separate subroutines accessible within a while true loop . Depending on the option chosen by the user, the appropriate subroutine will be called . Instead of a further practice task here, Task 4 of the Section 7 Practice tasks page challenges you to make a similar program using multiple subroutines. ⬅ 7a - Proced ures Section 7 Practice Tasks ➡

Learn about the characteristics of information and the impacts of both good and poor quality information on customers and stakeholders. Based on the 2016 OCR Cambridge Technicals Level 3 IT specification for Unit 2 (Global Information). 2.3 - Quality of Information Exam Board: OCR Specification: 2016 - Unit 2 Information Characteristics Valid Information This is correct, up-to-date and complete information that fits its purpose . For example, detailed end-of-year financial data in the form of graphs. Biased Information This is technically correct, but slanted , information that presents a one-sided view . For example, end-of year financial data that focuses on profits and ignores significant losses. Relevant Information Information should be appropriate for the required purpose . Irrelevant information may get in the way of correct decision making. Accurate Information Information should be carefully selected and entirely correct , inaccurate information can lead to unwanted consequences such as higher costs and missed deadlines. Reliable Information Information from a source that can be verified and confirmed to be correct . For example, BBC News is a more reliable information source than social media posts. Information Quality The quality of information that an organisation uses will have a significant impact on further processes and decisions. Good quality information that is accurate , valid or reliable can lead to better strategic decisions , meeting deadlines and innovation . Poor quality information that is biased , inaccurate or out of date may lead to negative consequences such as loss of customer trust , fines and legal challenges . Positive Effects of Good Quality Information Reliable information received by the management team . Good quality research information. Good quality sales information. Accurate cost projection information. Informed decisions with a higher chance of success . Can lead to innovation and better understanding . Strategic decisions and planning ahead . Projects will stay within their budget . Accurate time expectations . Projects will be completed on time . Negative Effects of Poor Quality Information Biased survey with inaccurate results . Inaccurate stock information. Out of date information received by management . Inaccurate data has led to poor reviews online . Inaccurate time expectations . Misinformed decisions , not responding to customers needs . ??? Inaccurate delivery times , customers unhappy . Too much / little stock. Miss out on opportunities , possible fall in profits . Loss of customer trust , loss of customers and reputation . Financial issues . Projects take longer , cost more , stakeholders unhappy . Possible project failure . Q uesto's Q uestions 2.3 - Quality of Information: 1. Describe 5 characteristics of information . [10 ] 2. Explain 5 positive impacts of good quality information . [10 ] 3. Explain 5 negative impacts of poor quality information . [10 ] 2.2 - Information Classification 2.4 - Information Management Topic List

Learn about the five data types - character, string, integer, real and Boolean. Also learn about casting. Based on the J277 OCR GCSE Computer Science specification (first taught from 2020 onwards). 2.2: Data Types Exam Board: OCR Specification: J277 Watch on YouTube : Data Types What are the different data types? When programming, variables should be given appropriate data types . Character A single character , such as a letter, number or punctuation symbol. Examples: T 8 ? String A sequence of characters , including letters, numbers and punctuation. Examples: Harry Waters 14:50pm Ice Age 4 Integer A whole number . Examples: 475 -8432 56732 Real Boolean A decimal number . Examples: 65.3 -321.1234 909.135 An answer that only has two possible values . Examples: True / False Yes / No 0 / 1 Telephone numbers are always stored as a string , not an integer. Casting Converting the value of a variable from one data type into another is known as casting . Python automatically assumes an input is a string so the int() command is used to cast an input into an integer . Other Python commands for casting include str() and float() . For example: age = int(input("Enter your age: ")) Q uesto's Q uestions 2.2 - Data Types: 1. List the five data types , giving an example of each . [ 5 ] 2. State which data type is most suitable for the following variables: a. Age [ 1 ] b. Surname [ 1 ] c. Height (in metres) [ 1 ] d. First Initial [ 1 ] e. Phone number [ 1 ] f. Right-Handed? [ 1 ] 3. Explain what casting is and give a programming situation in which it would be used . [ 2 ] 2.1 - Programming Fundamentals Theory Topics 2.3 - Additional Techniques

Learn about computational methods including problem recognition, decomposition, divide and conquer, abstraction, backtracking, data mining, heuristics, performance modelling, pipelining and visualisation. Based on the OCR H446 Computer Science A-Level specification. Exam Board: OCR A-Level Specification: Computer Science H446 2.2 - Computational Methods Watch on YouTube : Problem recognition Decomposition Divide and conquer Abstraction Backtracking Data mining Heuristics Performance modelling Pipelining Visualisation Computational methods are techniques to analyse problems and design efficient , effective solutions . Problem Recognition Problem recognition is the process of identifying that a problem exists and understanding its nature before attempting to solve it. It involves determining the aims of the task , identifying constraints and requirements , and clarifying what inputs , outputs and processes are expected from the solution . Effective problem recognition ensures the developer understands the real-world context and avoids solving the wrong problem or missing key details . It is the essential first step that guides all later stages of computational thinking and system design . YouTube video uploading soon Decomposition Decomposition involves breaking a complex system or task into smaller , more manageable components that are easier to design , implement and test . Each sub-problem should ideally be independent and solve a specific part of the overall task , which helps reduce complexity and supports modular program design . This approach enables different developers to work on different components simultaneously and simplifies debugging , maintenance and future updates . By working through smaller logical parts , the full problem becomes far more approachable and structured . YouTube video uploading soon Divide and Conquer Divide and conquer is a technique that splits a problem into smaller sub-problems of the same type , solves them (often using recursion ), and then combines the solutions to produce the final answer . This approach can significantly improve efficiency by reducing large input sizes into more manageable chunks , as seen in algorithms like quicksort . Divide and conquer algorithms include a binary search and a merge sort . The time complexity of divide and conquer algorithms is logarithmic - O(log n) - allowing complex problems to be solved much quicker than other algorithms . YouTube video uploading soon Abstraction Abstraction means removing unnecessary details to focus only on the most important features of a problem or system . It allows programmers to create simplified models that capture essential behaviour without becoming overwhelmed by irrelevant complexities . Abstraction enables generalisation , reusable designs and clearer reasoning about how components interact . In computational contexts, abstraction also highlights the difference between real-world systems and their simplified computational models . YouTube video uploading soon Backtracking Backtracking is used to explore possible solutions to a problem by building a partial solution and abandoning it as soon as it becomes clear it cannot succeed . It works by trying an option , checking whether it leads towards a valid solution , and backtracking to try a different path if a dead end is reached . This approach is used in constraint-based problems such as maze solving . While powerful , backtracking can be computationally expensive , so it often benefits from heuristics or pruning strategies . YouTube video uploading soon Data Mining Data mining is the process of extracting useful patterns , trends and relationships from large datasets . It enables organisations to identify hidden insights , predict behaviours and support data-driven decision-making , particularly in fields such as marketing , healthcare , finance and security . Data mining can lead to enhanced decision-making that can result in innovation , a competitive advantage against similar organisations and increased revenue . It can be used to identify anomalies or unused features . However, data mining doesn't explain the patterns it can identify and it requires powerful computers with a lot of processing power to handle huge amounts of data . YouTube video uploading soon Heuristics Heuristics are approximate problem-solving strategies that aim to produce good solutions quickly when exact , optimal methods are too slow or computationally impractical . They rely on rules of thumb to guide searches through very large solution spaces efficiently . Heuristics are widely used in artificial intelligence , optimisation tasks and complex search algorithms such as A* , where perfect accuracy is less important than fast , practical solutions . The trade-off is that heuristic methods are not guaranteed to produce the optimal answer , but they dramatically reduce processing time . YouTube video uploading soon Performance Modelling Performance modelling is the process of predicting how a system or algorithm will behave under different workloads , input sizes or hardware environments . It uses tools such as mathematical analysis , simulation and Big O notation to estimate required resources such as processing time or memory use . Performance modelling offers a cheaper , quicker and often safer way to test applications . For example, when a company beta tests an online game , it can trial the system with a smaller group of players and then apply performance modelling to predict how much server capacity will be needed when the game is fully released . YouTube video uploading soon Pipelining Pipelining is a technique in which different stages of a process are overlapped so that multiple instructions or operations are being processed simultaneously at different stages . In CPU architecture , for example, one instruction might be fetched while another is decoded and a third is executed , increasing overall throughput without increasing clock speed . Pipelining can also be used in algorithms or data-processing systems to prevent idle time in stages that operate independently . However, pipelining introduces complexity because dependencies or branch mispredictions may require a pipeline to be flushed - interrupting flow and reducing efficiency . YouTube video uploading soon Visualisation Visualisation supports the understanding of a problem by presenting information in a clearer and more accessible form than text alone . It is useful for explaining complex ideas or identifying patterns . Data can be shown visually through diagrams , graphs , trees , flowcharts or tables . The advantages of visualisation include helping to model , represent , analyse or summarise complex concepts . It allows information to be communicated more clearly and in a way that is easier to interpret . It can also provide different perspectives on how a problem might be solved . YouTube video uploading soon This page is under active development. Check here for the latest progress update. Q uesto's K ey T erms Computational Methods: problem recognition, decomposition, divide and conquer, abstraction, backtracking, data mining, heuristics, performance modelling, pipelining, visualisation D id Y ou K now? Real-time location services like Google Maps use heuristics to guess travel times using heuristics such as estimated speeds , traffic history and shortcuts to make fast but approximate route suggestions . 2.1 - Programming Techniques A-Level Topics 3.1a-d - Algorithm Complexity