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An overview of what desktop publishing (DTP) is, considerations designer must take and common forms such as posters, leaflets and business cards. Desktop Publishing (DTP) What is DTP? Desktop Publishing (DTP) software allows people to create documents with a mixture of graphics and text . Examples of desktop publishing software are Microsoft Publisher and Serif PagePlus . Desktop publishers can be used to produce documents such as business cards, leaflets, brochures, newspapers, magazines and newsletters . DTP software can be cheap and printers at home are more common these days so people can design and print their own documents. Professional-looking documents can be made simply and without an extensive knowledge of graphic design. The biggest advantage of using DTP is that it is frame based . Text and picture frames can be laid out on the page, and rotated, moved or resized as necessary. It is easy to import images from clip art or the web. The view of the page is known as WYSIWYG (W hat Y ou S ee I s W hat Y ou G et) because the view on the computer will be very similar to what you get when it is printed. What to consider when using DTP Orientation Will your document be landscape or portrait ? Some document types are more commonly one orientation than the other. For example, business cards are generally landscape but newsletters are more often portrait. Size The size of a typical piece of paper is A4. But that is too large for most DTP documents. The larger the number, the smaller the piece of paper . A5 is half the size of A4 and A3 is twice the size of A4. Documents can also be measured in millimetres, for example, an appropriate business card size is 85mm wide and 55mm high. House Style A house style is a set of rules to ensure that each document made by a person or company is part of an identity . To be consistent , each document should use the same logo, titles, colours, graphics and layout . For example, the NHS always uses a blue colour, the same logo and similar layout on each of its documents. Some companies have perfected their house style so that they are synonymous with a single colour - e.g. McDonald's use yellow and Coca-Cola use red and white . DTP Documents Business Cards A business card is a small piece of card that must be simple and stylish . The purpose of a business card is to clearly state the contact details of a person or company. Sharing your business card with other people is one way to promote your business or skills to attract new business partners or customers. A business card must be uncluttered and clearly display relevant contact information, such as an email address, phone number or physical address. Today, business cards may also state social media contacts, such as Facebook pages or Twitter accounts. Flyers A flyer is a small handout that advertises an event or new product. The purpose of a flyer is to clearly and quickly promote an event . It must be eye-catching and to-the-point so that people can immediately understand what it is about. Flyers are often handed out in the street or posted through letterboxes so if it is not clear people will just ignore it. A flyer should use a large title to promote the event, as well as appropriate graphics and information about the date, location and time. It should also contain contact details including a telephone number, website and email address. Posters A poster is a large piece of paper that is put up to advertise an event and display more information than a flyer . Posters should promote an event by using large titles and graphics to clearly describe where the event is taking place, when it is and why people should go. Because there is much more space on a poster than a flyer, additional information can be added and some kind of persuasion to entice passers by to attend. Leaflets A leaflet is a small folded handout that provides more information about an event or new product. The purpose of a leaflet is to give additional details about an event . It can be used before an event to describe the different parts, such as the different acts in a circus or different bands at a festival. It can also be used during an event, such as at a school fair to list the different stalls. Because it is folded over it can display a large amount of information, with both text and graphics . The front of the leaflet should clearly display the purpose of it and the text inside must be readable with images to break up the words. There may also be contact information inside the leaflet, such as directions to a website or social media page .

Learn how to create simple programs in Python. Try practice tasks and learn through text and images. Perfect for students learning GCSE Computer Science in UK schools. Formerly pynewbs.com. Follow the instructions in each section and try the practice tasks on every page . At the end of each section are larger problems to solve. Pyt hon Sections 0. Setting up Python Installing and Using Python 1. Printing and Variables a. Printing b. Comments c. Creating Variables d. Using Variables Section 1 Practice Tasks 2. Inputting Data a. Inputting Text b. Inputting Numbers Section 2 Practice Tasks 7. Subroutines a. Procedures b. Functions Section 7 Practice Tasks 8. Lists a. Using Lists b. 2D Lists c. Dictionaries Section 8 Practice Tasks 9. String Handling a. Basic String Handling b. Number Handling Section 9 Practice Tasks 3. Data Types & Calculations a. Data Types b. Simple Calculations Section 3 Practice Tasks 4. Selection a. If Statements b. Mathematical Operators ( & MOD / DIV) c. Logical Operators Section 4 Practice Tasks 5. Importing from Libraries a. Random b. Sleep c. Date & Time d. Colorama e. More Libraries (math) Section 5 Practice Tasks 6. Loops a. For Loops b. While Loops Section 6 Practice Tasks 10. File Handling a. Open & Write to Files b. Read & Search Files c. Remove & Edit Lines Section 10 Practice Tasks 11. User Interfaces a. Graphical User Interface 12. Authentication a. Error Handling Extended Tasks Extended Task 1 (Pork Pies) Extended Task 2 (Lottery) Extended Task 3 (Blackjack) Extended Task 4 (Vet Surgery) Extended Task 5 (Colour Collection) Extended Task 6 (Guess the Word) Extended Task 7 (Guess the Number)

The first part of a quick guide to the basics of Python aimed at Key Stage 3 students. Learn about comments and printing. Python - #2 - Variables 1. Number Variables A variable is a value that can change . Imagine there are 20 biscuits in a jar. Then I eat one. Now there are only 19. You must state what the value of a variable is before it is used . e.g. biscuits = 20 Task 1 - Create a new Python program and save the file as 2-Variables.py Create a variable called sweets and give it the value 15. Then print sweets. Variable names cannot have spaces . You can use underscores if you want, e.g. num_of_eggs When you are printing variables, you don't put them in speech marks . Otherwise, it will print the variable name and not the value. 2. String Variables A string is a programming term for a collection of characters . When you are giving a variable a string value, it must be written in speech marks . Remember when you print the variable however, it is never printed in speech marks . Task 2 - Create a variable called name and give it the value of your name. Then print the name variable. 3. Using Variables in a Sentence When we have printed the variables so far, they have not been very informative! You can print variables together with sentences so that they mean more. Use a comma ( , ) between variables and sentences . Task 3 - Use the pictures to help you add commas and sentences to your program to be more informative. 4. Using Variables Together You can print more than one variable together in the same sentence by separating them with sentences and commas . If this doesn't work, double-check your program has a comma between each variable and sentence . Task 4 - Type a new print line that uses both your name and your sweets variables together. Use the image to help you. Challenge Programs Use everything that you have learned on this page to help you create these programs... Challenge Task 1 - Funny Animals Create a new Python program. Save it as ' 2-FunnyAnimals.py ' Add a comment at the top with your name and the date. Create a variable for a colour and give it a value (e.g. "blue") Create a variable for an animal and give it a value (e.g. "horse") Print a funny sentence that uses both variables. BONUS : Try to use only one print line. BONUS : Try to use only three lines in total . Remember: Break up variables in a print line by using commas. When you run it, it could look something like this: Challenge Task 2 - Funny Sentence Create a new Python program. Save is as ' 2-FunnySentence.py ' Add a comment at the top with your name and the date. Write a program that uses three variables, an adjective (descriptive word), a number and an animal. Print a funny response using all variables. BONUS : Try to use only one print line. BONUS : Try to use only four lines in total . Remember: Break up variables in a print line by using commas. When you run it, it could look something like this: <<< #1 The Basics #3 Inputs >>>

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Learn about algorithms for data structures such as stacks, queues, linked lists and trees, as well as how to traverse trees with depth-first and breadth-first traversal methods. Based on the OCR H446 Computer Science A-Level specification. Exam Board: OCR A-Level Specification: Computer Science H446 3.1e - Data Structure Algorithms Watch on YouTube : Stacks Queues Linked Lists Trees Tree traversal Being able to read , trace and write code for data structure algorithms (stacks , queues , linked lists and trees ) is vital. Stacks A stack stores data in a last in , first out (LIFO ) order, meaning the most recently added item is the first one to be removed . It works much like a stack of plates - you can only add or remove from the top . Two integral functions are push and pop . The push operation adds (or “pushes”) a new item onto the top of the stack . The pop operation removes (or “pops”) the item from the top of the stack . Stacks are commonly used in undo features , function calls and expression evaluation , where tracking the most recent item first is important . YouTube video uploading soon Queues A queue stores items in a first in , first out (FIFO ) order, meaning the first item added is the first one removed . New items are added at the rear of the queue using an enqueue operation, and items are removed from the front using a dequeue operation. Queues are often used in task scheduling , print spooling and data buffering , where operations must occur in the same order they were requested . YouTube video uploading soon Linked Lists A linked list is a dynamic data structure made up of a series of elements called nodes , where each node contains data and a pointer to the next node in the sequence . Unlike arrays, linked lists do not store elements in contiguous memory locations , making it easy to insert or delete items without having to shift other elements . The head is the first node in the list , and the last node usually points to null , indicating the end of the list . YouTube video uploading soon Trees A tree is a hierarchical data structure made up of nodes connected by branches , starting from a single root node . Each node can have child nodes , and nodes without children are called leaf nodes . Trees are useful for representing data with natural hierarchies , such as file systems or organisational charts . A binary search tree is a special type of tree where each node has at most two children - a left and a right . All values in the left subtree are smaller than the parent node , and all values in the right subtree are larger . This structure allows for efficient searching , insertion and deletion of data , often much faster than in lists or arrays . YouTube video uploading soon Tree Traversal 'Tree traversal ' refers to the method used to visit every node in a tree data structure in a specific , organised order . Depth-first (also called post-order ) traversal explores a tree by moving as far down one branch as possible before backtracking , visiting nodes in a deep , top-to-bottom manner . It uses a stack to keep track of nodes still to explore , pushing new branches onto the stack and popping them when backtracking . Breadth-first traversal explores the tree level by level , visiting all nodes on one level before moving down to the next . It uses a queue to hold nodes in the order they should be visited , ensuring the traversal expands outward evenly from the root . YouTube video uploading soon This page is under active development. Check here for the latest progress update. Q uesto's K ey T erms Stacks and Queues: stack, queue, last in first out (LIFO), first in first out (FIFO), push, pop, enqueue, dequeue, pointer Linked Lists: linked list, null Trees: tree, binary tree, binary search tree, root node, branch, depth-first traversal, breadth-first traversal D id Y ou K now? Spotify playlists work like linked lists because each song links to the next , allowing tracks to be added , removed or reordered instantly without reshuffling the whole playlist. This makes the app fast and efficient even when handling huge playlists with thousands of songs . 3.1a-d - Algorithm Complexity A-Level Topics 3.1f - Standard Algorithms

Learn about the laws related to computing - the Data Protection Act, Computer Misuse Act, Copyright Design and Patents Act and Regulation of Investigatory Powers Act. Based on the OCR H446 Computer Science A-Level specification. Exam Board: OCR A-Level Specification: Computer Science H446 5.1 - Computing-related Legislation Watch on YouTube : Data Protection Act Computer Misuse Act Copyright Design and Patents Act Regulation of Investigatory Powers Act Several key UK laws govern the ethical and legal use of computers and digital information including the Data Protection Act and Computer Misuse Act . Each act is designed to protect data , users or intellectual property in the digital age. Data Protection Act (2018) The Data Protection Act is a UK law designed to ensure that personal data is collected , stored and used responsibly . It gives individuals (data subjects ) rights over their personal information and sets rules for organisations that process it . Introduced in 1998 , it was updated in 2018 to align with the EU’s General Data Protection Regulation (GDPR ). The Data Protection Act's key principles include that data must be processed lawfully , fairly and transparently , used for specific purposes , kept accurate and up to date , stored securely and not kept longer than necessary . It also gives data subjects rights such as accessing their data , correcting inaccuracies , objecting to processing and requesting deletion . Organisations that break the law can face heavy fines and legal action from the Information Commissioner’s Office (ICO ). YouTube video uploading soon Computer Misuse Act (1990) The Computer Misuse Act (1990 ) is a UK law created to make unauthorised access and use of computer systems illegal . It was introduced in response to the rise of hacking and other cybercrimes as computers became more common . This act defines several offences , including: Unauthorised access to computer material , such as hacking into a system without permission . Unauthorised access with the intent to commit further offences , such as fraud or data theft . Unauthorised modification of data or programs , for example, spreading viruses or deleting files . Making , supplying or obtaining tools used for committing these offences . Penalties range from fines to imprisonment , depending on the severity of the crime . This act helps protect individuals , organisations and data from malicious attacks and misuse . YouTube video uploading soon Copyright, Designs & Patents Act (1988) The Copyright, Designs and Patents Act (1988 ) is a UK law that protects people’s creative and intellectual work from being copied or used without permission . It gives creators automatic legal rights over their original work , such as books , music , films and software . The act states that the copyright owner controls how their work is used , including the rights to copy , distribute or adapt it. Anyone wishing to use the work must get permission or a licence from the owner. It also includes exceptions , allowing limited use for purposes like education or research . This act helps ensure that creators are fairly rewarded for their work and that their intellectual property is legally protected . YouTube video uploading soon Regulation of Investigatory Powers Act (2000) The Regulation of Investigatory Powers Act (RIPA ) (2000 ) is a UK law that governs how public bodies and law enforcement can carry out surveillance and access electronic communications . It was introduced to balance national security and crime prevention with individuals’ right to privacy . RIPA allows authorised agencies , such as the police , intelligence services and local councils , to monitor communications , intercept phone calls or emails and use covert surveillance , but only with proper legal authorisation . It also regulates the use of informants and access to encrypted data . This act aims to ensure that surveillance is done lawfully , proportionately and for legitimate purposes , such as preventing or detecting serious crime or protecting public safety . YouTube video uploading soon This page is under active development. Check here for the latest progress update. Q uesto's K ey T erms Legislation: Data Protection Act (2018) Computer Misuse Act (1990) Copyright Design and Patents Act (1988) Regulation of Investigatory Powers Act (2000) D id Y ou K now? In 1985 , two journalists were arrested for ‘ hacking ’ into the emails of the Duke of Edinburgh ( Prince Philip ) after discovering an engineer’s username was ‘ 2222222222 ’ and password was ‘ 1234 ’. They were acquitted in court because no UK laws covered hacking , exposing a major legal gap that led to the creation of the Computer Misuse Act ( 1990 ) . 4.3 - Boolean Algebra A-Level Topics 5.2 - Moral & Ethical Issues

Learn about programming constructs such as sequence, iteration and branching, recursion, local and global variables, modularity, functions and procedures, parameter passing by value and by reference, Integrated Development Environment (IDE) tools and object-oriented techniques. Based on the OCR H446 Computer Science A-Level specification. Exam Board: OCR A-Level Specification: Computer Science H446 2.1 - Programming Techniques Watch on YouTube : Programming constructs Recursion Local & global variables Modularity Integrated development environment Object-oriented programming Programming Constructs Sequence , iteration and branching (also called selection ) are the three fundamental programming constructs used to build algorithms . Sequence means that instructions run in a specific order , one after another. Iteration is the repetition of a set of instructions , usually being count-controlled , such as for loops , or condition-controlled , such as while loops or do until loops . Branching (selection ) allows a program to choose between different actions based on a condition , using structures like if , elif , else or switch . YouTube video uploading soon Recursion Recursion is where a function calls itself to solve a problem by breaking it down into smaller , simpler versions of the same problem . Recursion is often used for tasks that naturally fit a 'divide and conquer ' structure , such as quicksort and merge sort algorithms. It is also used for depth-first tree traversals and solving mathematical problems like factorials or the Fibonacci sequence . Compared to iteration , recursion can produce clearer and more elegant solutions , but it may use more memory and can be less efficient if the recursion goes too deep or lacks a proper base case (stopping condition ) , potentially running out of memory . YouTube video uploading soon Local & Global Variables Local variables are created inside a function or block and can only be accessed there , which makes programs safer and easier to debug because changes to the variable cannot affect other parts of the program ; however, they cannot store values that need to be shared across multiple functions . Global variables are declared outside all functions and can be accessed anywhere in the program , making them useful for storing information that many parts of the program need , but they can lead to errors if different functions accidentally change them and can make the program harder to maintain . YouTube video uploading soon Modularity Modularity is the practice of breaking a program into smaller , self-contained parts so each section can be developed , tested and understood independently . Functions and procedures are modular units of code: a function returns a value , while a procedure performs a task without returning a value . When data is passed into a subroutine , it can be passed by value , where a copy of the data is sent so the original cannot be changed , or passed by reference , where the subroutine receives direct access to the original data , allowing it to be modified . YouTube video uploading soon Integrated Development Environment An Integrated Development Environment (IDE ) is software that provides the tools a programmer needs to write , test and debug code in one place . It typically includes an editor for writing and formatting code , syntax highlighting to make keywords and errors easier to spot , and auto-completion to speed up coding . For debugging , an IDE often provides error diagnostics that highlight mistakes , a run-time environment to execute the program , and tools like breakpoints and step-through execution that allow the programmer to pause the program and inspect variables to find and fix bugs more easily . YouTube video uploading soon Object-Oriented Programming Object-oriented techniques are a way of designing programs by modelling them as collections of objects , each representing something with its own data and behaviours . These objects are created from classes , which act like blueprints describing the attributes (data ) and methods (actions ) an object will have . It uses key principles such as encapsulation (keeping an object’s data and methods together and protected ), inheritance (allowing classes to share and reuse features ) and polymorphism (enabling objects to behave differently ). These techniques make large programs easier to organise , maintain and extend by encouraging reusable , modular and well-structured code . YouTube video uploading soon This page is under active development. Check here for the latest progress update. Q uesto's K ey T erms Programming Constructs: sequence, iteration, selection (branching), if / elif / else, select (switch) case Recursion & Iteration: count-controlled loop, condition-controlled loop, recursion, base case Variables: local variable, global variable Modularity: function, procedure, parameter, pass by value, pass by reference Integrated Development Environment (IDE) Object Oriented Programming (OOP): class, object, method, attribute, inheritance, encapsulation, polymorphism D id Y ou K now? Roblox Studio is a free IDE for making Roblox games using the programming language Lua . With over 70m daily Roblox players , games built in Roblox Studio can reach a larger audience than many mainstream game engines . 1.1 - Computational Thinking A-Level Topics 2.2 - Computational Methods

The homepage for the HTML section on CSNewbs. Learn how to create an HTML website from scratch and how each tag works. I'm Arthur the Alligator and I'm here to teach you HTML. HTML GUide Show me how to make a webpage in HTML from scratch. List of Tags Show me a list of tags I can use.

The homepage for all content aimed at Key Stage 3 students studying Computer Science / IT including computer hardware, Python, App Inventor 2 and Cyber Security. Key Stage 3 Topics These topics are aimed at Year 7 - 9 students (11 - 14 year olds) studying computing. Hardware The Motherboard The CPU Memory Expansion Cards Python Basics 1. The Basics 2. Variables 3. Inputs 4. Calculations 5. Selection 6. Turtle 7. Link to GCSE Python Cyber Security Malware Phishing & Staying Safe Other Topics Desktop Publishing

Learn about pseudocode, procedural programming, big O notation (constant, linear, polynomial (quadratic), exponential, linearithmic and logartihmic) and the complexity of different data structure, sorting and searching algorithms. Based on the OCR H446 Computer Science A-Level specification. Exam Board: OCR A-Level Specification: Computer Science H446 3.1a - 3.1d - Algorithm Complexity Watch on YouTube : Pseudocode Procedural programming Big O notation Algorithm complexity Pseudocode Pseudocode is a simplified , language-independent way of writing algorithms that looks like programming but uses plain English to describe the steps clearly without worrying about exact syntax . The OCR A-Level Computer Science course uses a form of pseudocode unique to the exam board called 'OCR exam reference language ' that all code in exams will be written in . OCR exam reference language uses closing commands such as endif for an if statement and endwhile for a while loop . It also uses the word then instead of a colon like in Python . YouTube video uploading soon Procedural Language A procedural language , such as Python or Java , is a programming language that structures programs as sequences of step-by-step instructions grouped into procedures or functions . It focuses on breaking tasks into smaller , reusable blocks of code that operate on data , making programs easier to write , understand and maintain . This topic is in both Paper 1 and Paper 2 . YouTube video uploading soon Big O Notation O(n) Big O Notation is a way of describing how the time complexity (how long an algorithm takes ) and space complexity (how much memory it uses ) grows as the size of the input increases . This allows algorithms to be compared in terms of efficiency , using the letter n to refer to the size of the input . Complexity types: Constant - O(1) - The algorithm’s time or space stays the same no matter how large the input is . Linear - O(n) - The time or memory grows directly in proportion to the size of the input . Polynomial - O(n²) - The growth increases in proportion to the square of the input , often seen in algorithms with nested loops . Exponential - O(2ⁿ) - The time or memory doubles with each additional input element , becoming extremely slow very quickly . Logarithmic - O(log n) - The algorithm’s time grows very slowly as the input size increases , often achieved by repeatedly halving the data . Linearithmic - O(n log n) - A combination of linear and logarithmic behaviour, common in efficient sorting algorithms like merge sort . YouTube video uploading soon Algorithm Complexity Best-case , average-case and worst-case complexity describe how an algorithm performs under different input conditions . Best-case complexity is the time or space required when the algorithm meets the most favourable input , allowing it to finish as quickly or efficiently as possible . Average-case complexity represents the expected performance across typical or random inputs , giving a realistic view of how the algorithm behaves in normal use . Worst-case complexity is the maximum time or space the algorithm could ever require , used to guarantee performance even in the least favourable situation . Sorting and searching algorithms often have different case complexities for time and space . YouTube video uploading soon This page is under active development. Check here for the latest progress update. Q uesto's K ey T erms Pseudocode Procedural Language: input, output, comments, variables, casting, count-controlled iteration, condition-controlled iteration, logical operators, selection, string handling, subroutines, arrays, files Big O Notation: time complexity, space complexity, constant, linear, polynomial, exponential, logarithmic, linearithmic, best-case, average-case, worst-case D id Y ou K now? Minecraft doesn’t load the entire world at once ; instead, it divides the world into chunks and only generates or loads the chunks near the player . Finding , saving and retrieving these chunks uses data structures like trees and hash maps , which allow the game to look up a chunk in about O(log n) or even O(1) time , minimising lag even in large worlds . 2.2 - Computational Methods A-Level Topics 3.1e - Data Structure Algorithms

Learn about how information can be classified into groups including private, public, sensitive and confidential. Based on the 2016 OCR Cambridge Technicals Level 3 IT specification for Unit 2 (Global Information). 2.2 - Information Classification Exam Board: OCR Specification: 2016 - Unit 2 Information can be classified into different groups . Some data may fall into more than one classification. Sensitive Information Description: Information that should be protected from being publicly released as it could harm the safety or privacy of an organisation or an individual . Examples: Medical data that could be embarrassing to an individual if released. Financial data that will negatively impact the company if made public to competitors. Non-Sensitive Information Description: Information that can be released publicly with no fear of negative consequence . Examples: Store information including shop addresses , opening hours and the names of senior managers. Product information including prices , online reviews and general availability . Private Information Description: Private information relates to an individual and it should not be shared with anyone else without the data subject's permission . Private information is protected by the Data Protection Act and would need to be stored securely so it cannot be accessed without authorisation. Examples: Home addresses, contact information, birth dates and banking details . Employee data such as linked bank accounts and addresses. Public Information Description: Released to the public and can therefore be seen by anyone . Public information is non-sensitive . Examples: Social media usernames, posts and shared images. Public business information including addresses, promotional material and opening times. A government report like the national census every ten years. Personal Information Description: Identifiable data about a specific individual . Examples: Full name , date of birth , gender , marital status, medical history, sexual orientation and voting history. Business Information Description: Any kind of data about a specific business. This information could be public or private. Examples: Address of its headquarters Financial data or employee details. Annual sales figures . Confidential Information Description: Private data that is more restricted than sensitive information , with access limited to only those who need to know. Examples: Doctor / therapist notes Business Profits and losses Trade secrets Classified Information Description: Highly sensitive information stored by a government institution , requiring the highest levels of restricted access . Access is usually restricted by law and only viewable by authorised individuals or groups. In the UK there are three levels of classified information: OFFICIAL , SECRET and TOP SECRET . Examples: Military data Terrorism precautions Crime scene reports Anonymised Information Description: Anonymisation removes personally identifiable data from information so that an individual cannot be identified . This allows the information to be used in much wider context without running the risk of legal action. Examples: Partially anonymised information - where some of the personal information has been removed and replaced by a symbol . Completely anonymised information - where all identifiable data has been removed . Bank details are often partially or completely anonymised. A partially anonymised credit card number might be listed as: **** - **** - **** - 7427 Problems with anonymising data include: If sensitive data is not anonymised enough and the person can be identified . Useful information could be lost if too much data is anonymised . The public could lose trust in an organisation if data is insufficiently anonymised . Q uesto's Q uestions 2.2 - Information Classification: 1. Describe each type of information classification and give at least two examples : a. Sensitive information [3 ] b. Non-Sensitive information [3 ] c. Private information [3 ] d. Public information [3 ] e. Business information [3 ] f. Confidential information [3 ] g. Classified information [3 ] h. Anonymised information (partial and complete) [6 ] 2. State which classification(s) the following pieces of information would be categorised as. It might fit into more than one category. a. Shop opening times [1 ] b. Medical history [1 ] c. Twitter username [1 ] d. Crime scene report [1 ] 3. Describe three problems that organisations should consider when anonymising data . [6 ] 2.1 - Information Styles Topic List 2.3 - Quality of Information

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