5. Processing

Students learn about

processing
  • processing – a method by which data can be manipulated in different ways to produce a new value or result (eg calculating a total, filtering an email, changing the contrast of an image, changing the volume of a wave file)
  • hardware in processing
    • hardware with fast processors, a lot of RAM and large storage capacity for image, video and audio processing
    • increased processing speed, by:
    • increased clock speeds
    • increased bus capacity
    • historical and current trends in CPU Development
  • software for processing text, numeric, image, video and audio data
  • non-computer tools and processing
    • – documenting procedures to be followed when processing
  • social and ethical issues associated with processing
    • ownership of processed data
    • bias in the way participants in the system process data

Students learn to
  • select appropriate hardware configurations for a specified type of processing
  • edit text data using 
    • word processors,
    • desktop publishing, 
    • hypertext
    • database management systems
  • edit numeric data using 
    • spreadsheets and 
    • database management systems
  • edit image data using 
    • paint, draw and animation packages
  • edit video data using 
    • animation packages
  • edit audio data using 
    • mixing software
  • diagrammatically represent data processing

Stimulus Questions (relates to "Students Learn to")
  1. Describe the information process of processing in detail, including a real life example.

  2. Describe the three type of processing and identify the hardware used by each method.

  3. Discuss the importance of having fast processing power to deal with image, audio and video data.

  4. Using a diagram briefly describe the parts of a Central Processing Unit (CPU)

  5. Describe in detail the fetch-execute cycle.

  6. Discuss the historical and current trends in processor development.

  7. Identify and briefly describe the software used for processing 

  8. Compare and contrast the use of a distributed network, compared to a centralised network.

  9. Discuss the influence of bias on processed data.