Learned in this study

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Things to explore

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Overview

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• Computation/Processing
• Memory
  • Storage
    • Compression
  • Retrieval

Things it should do

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• Improve algorithms
  • Receive an existing algorithm and be able to determine its purpose. With that in mind, optimize the algorithm so it is maximally efficient in both time and space
  • Learn which data structure is the most appropriate for a problem
    • Inspect code and be able to figure out if the current data structure is the best one for its current use
• Improve data structures

Important properties

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• Signal filtering (ignore non-essential data to reduce the domain size)
• Abstraction/simplification/class generation. Learn to group similar stimuli so that you do not have to learn about each of them individually.
• It should be constructive: modifying or adding new features should not require that its database be flushed/reset.