9.3 Digital

Unit Resources

How does a computer turn electrical impulses into an audio track, or a movie? How is it possible that 0's and 1's can display colours on your screen? That's exactly what you will find out in this unit.
 
Computing Strands being developed:
1. Digital Representation.

Sections

Success Criteria

Time Frame

1 Lesson
3.Describe the terms bit, nibble, byte, kilobyte, megabyte, gigabyte & terabyte.
2.Match the key terms in order of size.
1.List a range of different bits.              
1.State the importance of setting up a folder structure.                          
1 Lesson
4.Convert complex binary calculations.
3.Convert simple binary numbers.      
2.Identify binary numbers.
1.Know what binary numbers are made up of.                  
 2 Lessons
5.Explain how computers use binary and denary numbers.
4.Convert more complex binary/denary conversions.
 3.Covert simple binary/denary conversions.                                  
2.Define the term denary                               
1 Lesson
 5.Explain how computers use hexadecimal numbers.
4.Convert complex hexadecimal conversions.
3.Conver simple hexadecimal conversions.
2.Define the term hexadecimal.
1 Lesson
 5.Explain how computers use hexadecimal numbers.
4.Convert complex hexadecimal conversions.
3.Conver simple hexadecimal conversions.
2.Define the term hexadecimal.
1-2 Lessons
4.Translate ASCII code messages into English.
3.Describe what ASCII code is and why we use it.
2.Define character set.
 
1-2 Lessons
4.Describe how bit patterns are used to represent images and numbers.
3.Explain how bits are used to represent binary numbers.
2.State how images are represented in binary.
1-2 Lessons

4.Explain how sound can be sampled and stored in digital form.
3.Describe  the difference between analogue and sampling.
2.Identify different sample rates.
1-2 Lessons

4. Explain the difference between lossless and lossy compression.

3. Describe how file compression reduces the size of files.

2. Define the term compression.

1-2 Lessons
Understand Data Representation.
Consolidate prior learning