Computer Science

the maximum amount of data that can be transferred over a communication channel

the time delay between a signal being sent and a signal being received

The need for compression

Measurements of storage

Lossy and lossless compression

Compression ratios

Run length encoding

Huffman coding

Comparing compression algorithms

Practical applications of compression

In this unit pupils will be introduced to the concept of data compression and why it is needed. The will compare lossy and lossless compression methods and their typical uses. They will have the opportunity to compression methods such as run length encoding (RLE) and Huffman coding.

Data compression

What process reduces file sizes to make storage and transmission more efficient?

the time delay between sending and receiving a signal

What is the relationship between compression and bandwidth?

Why is compression important for websites?

Which of these is NOT a compressed file format?

Match each file format with the type of file it is commonly used for.

What is the smallest unit of digital information?

What does the prefix 'kilo' represent in computing?

Put these binary numbers in sequence from smallest to largest:

Which file type is likely to take up the most storage?

files take up more physical storage space

files can be accessed from anywhere with an internet connection

What is one key advantage of storing files in the cloud?

The need for compression

Lesson outcome