Simulations (College Board AP® Computer Science Principles): Flashcards

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Cards in this collection (11)

  • Define simulation.

    A simulation is a program that models a real-world object, event, or phenomenon using simplified representations.

  • How do simulations use abstraction?

    Simulations use abstraction to represent complex objects by focusing on relevant features and ignoring unnecessary details.

  • How does a simulation mimic real-world behavior?

    A simulation mimics real-world behavior by tracking how the state of objects changes over time in response to conditions or inputs.

  • Name three applications of simulations.

    Simulations are used for impractical event modeling, hypothesis refinement, and variability simulation.

  • True or False?

    The results of a simulation are guarantees of what will happen in reality.

    False.

    Simulations are simplified models, so their results are approximations, not guarantees.

  • Why might events such as crash tests be simulated rather than tested physically?

    Crash tests are simulated because they are too dangerous, expensive, or time-consuming to test in the real world.

  • How do simulations model unpredictable elements?

    Simulations use RANDOM values and run multiple scenarios to observe the range of possible outcomes.

  • How can researchers use a simulation to refine a hypothesis?

    Researchers can adjust variables in the simulation to test predictions before running real experiments.

  • Define simulation bias.

    Simulation bias occurs when the assumptions or data used to build the simulation do not accurately represent the real system.

  • True or False?

    Running a flawed simulation many more times will fix its inaccurate results.

    False.

    More runs reveal a wider range of outcomes but do not fix a flawed model.

  • A simulation can only be as accurate as the _____ and data it is built on.

    A simulation can only be as accurate as the model and data it is built on.

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