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Algorithmic thinking: Aims to build the problem-solving skill and methodology.
Evaluation: The process to evaluate algorithm solutions with efficiency, correctness, and clarity.
Decomposition: It involves breaking down of a complex problem or system into smaller parts that are more manageable and easier to understand. The individual parts can then be evaluated separately.
Abstraction: Abstraction involves hiding details and removing unnecessary complexity. The skill is in choosing the right detail to hide, so that the problem becomes easier to solve without losing anything that is important.
Generalization: Generalization provides a powerful way to combine information to make it more usable and easier to remember.

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