DLCS18.7.26

Digital Literacy and Computer Science (2018) Grade(s): 7

DLCS18.7.26

Categorize models based on the most appropriate representation of various systems.

Unpacked Content

Knowledge

Students know:
  • models can be identified based on the purpose of their function.
  • that predictive models will forecast a possible outcome based on historical data.
  • that cluster and classification models identify similar traits in data and groups like items.
  • that decision models simulate the outcomes of decisions so that the user is aware of possible risks associated with each option.

Skills

Students are able to:
  • identify models based on the purpose of their function.
  • use predictive models to forecast a possible outcome based on historical data.
  • use cluster and classification models to identify similar traits in data and groups like items.
  • use decision models to simulate the outcomes of decisions so that the user is aware of possible risks associated with each option.

Understanding

Students understand that:
  • models should be selected based on the purpose of their function.
  • predictive models forecast a possible outcome based on historical data.
  • cluster and classification models identify similar traits in data and groups like items.
  • decision models simulate the outcomes of decisions so that the user is aware of possible risks associated with each option.
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