{"id":811,"date":"2024-12-05T13:00:32","date_gmt":"2024-12-05T13:00:32","guid":{"rendered":"https:\/\/pennstudiostaging.co.uk\/craig-n-dave\/?post_type=product&#038;p=811"},"modified":"2025-01-27T13:09:42","modified_gmt":"2025-01-27T13:09:42","slug":"aqa-gcse-8525-slr-13-data-representation","status":"publish","type":"product","link":"https:\/\/pennstudiostaging.co.uk\/craig-n-dave\/product\/aqa-gcse-8525-slr-13-data-representation\/","title":{"rendered":"AQA GCSE (8525) SLR 13 &#8211; Data representation"},"content":{"rendered":"<p>It includes:<\/p>\n<ul>\n<li><del><\/del>Student Learning Record Workbook (for use by students)<\/li>\n<li>Student Learning Record Answers (for use by teachers)<\/li>\n<li>End of Topic test and answers<\/li>\n<li>Lesson PowerPoint\u2019s for every lesson<\/li>\n<li>Any associated answers or references sheets for class activities<\/li>\n<\/ul>\n<p>This topic covers:<\/p>\n<ul>\n<li>3.3.1 \u2013 3.3.8 from the specification (8525)<\/li>\n<\/ul>\n<p>3.3.1 Number bases<\/p>\n<ul>\n<li>Understand the following number bases:<br \/>\ndecimal (base 10)<br \/>\nbinary (base 2)<br \/>\nhexadecimal (base 16)<\/li>\n<li>Understand that computers use binary to represent all data and instructions.<\/li>\n<li>Explain why hexadecimal is often used in computer science.<\/li>\n<\/ul>\n<p>3.3.2 Converting between number bases<\/p>\n<ul>\n<li>Understand how binary can be used to represent whole numbers.<\/li>\n<li>Understand how hexadecimal can be used to represent whole numbers.<\/li>\n<li>Be able to convert in both directions between:<br \/>\nbinary and decimal<br \/>\nbinary and hexadecimal<br \/>\ndecimal and hexadecimal<\/li>\n<\/ul>\n<p>3.3.3 Units of information<\/p>\n<ul>\n<li>Know that:<br \/>\na bit is the fundamental unit of information<br \/>\na byte is a group of 8 bits.<\/li>\n<li>Know that quantities of bytes can be described using prefixes.<\/li>\n<li>Know the names, symbols and corresponding values for the decimal prefixes:<br \/>\nkilo, 1 kB is 1,000 bytes<br \/>\nmega, 1 MB is 1,000 kilobytes<br \/>\ngiga, 1 GB is 1,000 Megabytes<br \/>\ntera, 1 TB is 1,000 Gigabytes<\/li>\n<li>Be able to compare quantities of bytes using the prefixes above.<\/li>\n<\/ul>\n<p>3.3.4 Binary arithmetic<\/p>\n<ul>\n<li>Be able to add together up to three binary numbers.<\/li>\n<li>Be able to apply a binary shift to a binary number.<\/li>\n<li>Describe situations where binary shifts can be used.<\/li>\n<\/ul>\n<p>3.3.5 Character encoding<\/p>\n<ul>\n<li>Understand what a character set is and be able to describe the following character encoding methods:<br \/>\n7-bit ASCII<br \/>\nUnicode<\/li>\n<li>Understand that character codes are commonly grouped and run in sequence within encoding tables.<\/li>\n<li>Describe the purpose of Unicode and the advantages of Unicode over ASCII.<\/li>\n<li>Know that Unicode uses the same codes as ASCII up to 127.<\/li>\n<\/ul>\n<p>3.3.6 Representing images<\/p>\n<ul>\n<li>Understand what a pixel is and be able to describe how pixels relate to an image and the way images are displayed.<\/li>\n<li>Describe the following for bitmaps:<br \/>\nimage size<br \/>\ncolour depth<\/li>\n<li>Know that the size of a bitmap image is measured in pixels (width x height).<\/li>\n<li>Describe how a bitmap represents an image using pixels and colour depth.<\/li>\n<li>Describe using examples how the number of pixels and colour depth can affect the file size of a bitmap image.<\/li>\n<li>Calculate bitmap image file sizes based on the number of pixels and colour depth.<\/li>\n<li>Convert binary data into a bitmap image.<\/li>\n<li>Convert a bitmap image into binary data.<\/li>\n<\/ul>\n<p>3.3.7 Representing sound<\/p>\n<ul>\n<li>Understand that sound is analogue and that it must be converted to a digital form for storage and processing in a computer.<\/li>\n<li>Understand that analogue signals are sampled to create the digital version of sound.<\/li>\n<li>Describe the digital representation of sound in terms of:<br \/>\nsampling rate<br \/>\nsample resolution<\/li>\n<li>Calculate sound file sizes based on the sampling rate and the sample resolution.<\/li>\n<\/ul>\n<p>3.3.8 Data compression<\/p>\n<ul>\n<li>Explain what data compression is.<\/li>\n<li>Understand why data may be compressed and that there are different ways to compress data.<\/li>\n<li>Explain how data can be compressed using Huffman coding.<\/li>\n<li>Be able to interpret Huffman trees.<\/li>\n<li>Be able to calculate the number of bits required to store a piece of data compressed using Huffman coding.<\/li>\n<li>Be able to calculate the number of bits required to store a piece of uncompressed data in ASCII.<\/li>\n<li>Explain how data can be compressed using run length encoding (RLE).<\/li>\n<li>Represent data in RLE frequency\/data pairs.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>This download provides you with a zip file which contains all the resources you will need to deliver this 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