Students Learn About- analysing – the
process by which data can be represented
and summarised so that humans can
better understand it
- hardware
requirements for analysing, including:
- large amounts of
primary and secondary storage allowing for fast processing
- fast processors
allowing many rapid calculations
- software features
for analysis, including:
- searching/selecting
data
- sorting
- modelling/simulations
- what-if scenarios
- charts and graphs
to identify trends
- file comparison
- non-computer tools,
for analysing, including:
- searching manual
filing systems
- non-computer models
and simulations
- social and ethical
issues associated with analysis,
including:
- unauthorised
analysis of data
- data incorrectly
analysed
- erosion of privacy from linking databases for
analysis
Students Learn To: - identify hardware requirements to carry out a particular type of analysis
- describe the best organisation for data for a particular type of analysis
- use software analysis features in a range of software applications to analyse image, audio, video, text and numeric data
- compare and contrast computer and non-computer tools for analysis on
- the basis of speed,
- volume of data that can be analysed, and
- cost analyse data on individuals for the purpose it was collected
Stimulus Questions (linked to "Students Learn To....")
- Describe the information process of analysing in detail, including a real life example.
- Discuss the issues related to hardware requirements necessary for processing large amounts of data in a fast and accurate way.
- Briefly describe each of the features that software should have for proper analysing:
- Searching/Selecting Data
- Sorting
- Modelling/Simulations
- What-If Scenarios
- Charts and Graphs to identify trends
- File Comparison
- Discuss the reason why non-computer methods of analysing data are still popular today.
- Discuss the implications of the following issues regarding the analysis of data:
- Unauthorised analysis
- Incorrectly analysed data
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