Learning Objectives

1. I can understand decimal (base 10)
2. I can understand binary (base 2)
3. I can understand hexadecimal (base 16).
4. I can understand that computers use binary to represent all data and instructions.
5. I can explain why hexadecimal is often used in computer science.

Learning Objectives

1. I can understand how binary can be used to represent whole numbers.
2. I can convert from binary to decimal.

Learning Objectives

1. I can convert from decimal to binary.

Learning Objectives

1. I can add together two binary numbers.
2. I can add together up to three binary numbers.

Learning Objectives

Learning Objectives

1. I can understand how hexadecimal can be used to represent whole numbers.
2. I can convert in both directions between binary and hexadecimal.
3. I can convert from hexadecimal to decimal.
4. I can convert from decimal to hexadecimal.

Learning Objectives

Learning Objectives

Learning Objectives

1. I can apply a binary shift to a binary number.
2. I can describe situations where binary shifts can be used.

Learning Objectives

1. I can explain that that quantities of bytes can be described using prefixes.
2. I can explain that kilo, 1 KB is 1,000 bytes.
3. I can explain that mega, 1 MB is 1,000 kilobytes
4. I can explain that giga, 1 GB is 1,000 Megabytes
5. I can explain that tera, 1 TB is 1,000 Gigabytes.
6. I can compare quantities of bytes using the prefixes above

Learning Objectives

1. I can understand what a character set is.
2. I can describe the ASCII amd Unicode character encoding methods:
3. I can convert characters to character codes
4. I can convert character codes to characters.
5. I can understand that character codes are commonly grouped and run in sequence within encoding tables.

Learning Objectives

1. I can describe the purpose of Unicode and the advantages of Unicode over ASCII.
2. I can describe how Unicode uses the same codes as ASCII up to 127.

Learning Objectives

1. I can explain what a pixel is and how pixels relate to an image and the way images are displayed.
2. I can describe for bitmaps the image size in pixels.
3. I can describe for bitmaps the colour depth.

Learning Objectives

1. I can describe how the size of a bitmap image is measured in pixels (width x height)
2. I can describe how a bitmap represents an image using pixels and colour depth.
3. I can explain how the number of pixels and colour depth can affect the file size of a bitmap image.
4. I can calculate bitmap image file sizes based on the number of pixels and colour depth.
5. Convert binary data into a bitmap image.
6. I can convert a black and white image into binary data.

Learning Objectives

1. I can understand that sound is analogue and that it must be converted to a digital form for storage and processing in a computer.
2. I can understand that analogue signals are sampled to create the digital version of sound.
3. I can describe the digital representation of sound in terms of sampling rate.
4. I can describe the digital representation of sound in terms of sample resolution.
5. I can calculate sound file sizes based on the sampling rate and the sample resolution.

Learning Objectives

1. I can explain what data compression is.
2. I can understand why data may be compressed and that there are different ways to compress data.

Learning Objectives

1. I can explain how data can be compressed using run length encoding (RLE).
2. I can represent data in RLE frequency/data pairs.

Learning Objectives

1. I can explain how data can be compressed using Huffman coding.
2. I can interpret Huffman trees.
3. I can calculate the number of bits required to store a piece of data compressed using Huffman coding.
4. I can calculate the number of bits required to store a piece of uncompressed data in ASCII.