AQA

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C/Science Progress Grade

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ID | Skill_name | RAG |
---|---|---|

3.3 | Fundamentals of data representation | |

3.3.1 | Number bases | |

R36 | I can understand decimal (base 10) | |

R36 | I can understand binary (base 2) | |

R43 | I can understand hexadecimal (base 16). | |

R36 | I can understand that computers use binary to represent all data and instructions. | |

R43 | I can explain why hexadecimal is often used in computer science. | |

3.3.2 | Converting between number bases | |

R36 | I can understand how binary can be used to represent whole numbers. | |

R43 | I can understand how hexadecimal can be used to represent whole numbers. | |

R37 | I can convert from binary to decimal. | |

R38 | I can convert from decimal to binary. | |

R43 | I can convert in both directions between binary and hexadecimal. | |

R41 | I can convert from hexadecimal to decimal. | |

R42 | I can convert from decimal to hexadecimal. | |

3.3.3 | Units of information | |

R45 | I can explain that that quantities of bytes can be described using prefixes. | |

R45 | I can explain that kilo, 1 KB is 1,000 bytes. | |

R45 | I can explain that mega, 1 MB is 1,000 kilobytes | |

R45 | I can explain that giga, 1 GB is 1,000 Megabytes | |

R45 | I can explain that tera, 1 TB is 1,000 Gigabytes. | |

R45 | I can compare quantities of bytes using the prefixes above | |

3.3.4 | Binary arithmetic | |

R39 | I can add together two binary numbers. | |

R40 | I can add together up to three binary numbers. | |

R44 | I can apply a binary shift to a binary number. | |

R44 | I can describe situations where binary shifts can be used. | |

3.3.5 | Character encoding | |

R46 | I can understand what a character set is. | |

R46 | I can describe the ASCII amd Unicode character encoding methods: | |

R46 | I can convert characters to character codes | |

R46 | I can convert character codes to characters. | |

R46 | I can understand that character codes are commonly grouped and run in sequence within encoding tables. | |

R47 | I can describe the purpose of Unicode and the advantages of Unicode over ASCII. | |

R47 | I can describe how Unicode uses the same codes as ASCII up to 127. | |

3.3.6 | Representing images | |

R48 | I can explain what a pixel is and how pixels relate to an image and the way images are displayed. | |

R48 | I can describe for bitmaps the image size in pixels. | |

R48 | I can describe for bitmaps the colour depth. | |

R49 | I can describe how the size of a bitmap image is measured in pixels (width x height) | |

R49 | I can describe how a bitmap represents an image using pixels and colour depth. | |

R49 | I can explain how the number of pixels and colour depth can affect the file size of a bitmap image. | |

R49 | I can calculate bitmap image file sizes based on the number of pixels and colour depth. | |

R49 | Convert binary data into a bitmap image. | |

R49 | I can convert a black and white image into binary data. | |

3.3.7 | Representing sound | |

R50 | I can understand that sound is analogue and that it must be converted to a digital form for storage and processing in a computer. | |

R50 | I can understand that analogue signals are sampled to create the digital version of sound. | |

R50 | I can describe the digital representation of sound in terms of sampling rate. | |

R50 | I can describe the digital representation of sound in terms of sample resolution. | |

R50 | I can calculate sound file sizes based on the sampling rate and the sample resolution. | |

3.3.8 | Data compression | |

R51 | I can explain what data compression is. | |

R51 | I can understand why data may be compressed and that there are different ways to compress data. | |

R53 | I can explain how data can be compressed using Huffman coding. | |

R53 | I can interpret Huffman trees. | |

R53 | I can calculate the number of bits required to store a piece of data compressed using Huffman coding. | |

R53 | I can calculate the number of bits required to store a piece of uncompressed data in ASCII. | |

R52 | I can explain how data can be compressed using run length encoding (RLE). | |

R52 | I can represent data in RLE frequency/data pairs. |

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## Teacher Date: 28-09-21

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