AP Computer Science Principles Flashcards: Simulations
Written by AP Content Team, Verified for 2026 AP Exams, Last updated: May 2026
Review key ideas with interactive flashcards. This set includes 21 cards to help you master important concepts.
What is the goal of drawing inferences from a simulation?
The goal is to gain understanding or make predictions about the corresponding real-world event without having to actually conduct the event, especially when it is impractical.
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What is the goal of drawing inferences from a simulation?
The goal is to gain understanding or make predictions about the corresponding real-world event without having to actually conduct the event, especially when it is impractical.
What role do random number generators play in simulations?
Random number generators can be used in simulations to model and represent the natural variability that exists in the real world.
Define 'bias' in the context of a simulation.
Bias in a simulation is a systematic inaccuracy derived from the conscious or unconscious choices of which real-world elements were included or excluded from the model.
What is a simulation?
A simulation is a representation that uses varying sets of values to reflect the changing state of a phenomenon. It is an abstraction of a more complex object or phenomenon for a specific purpose.
How does a simulation reflect the 'changing state of a phenomenon'?
It achieves this by using varying sets of input values to represent different conditions, allowing the model to show how the phenomenon evolves or reacts over time or under new circumstances.
Provide an example of a situation where a simulation is useful because the real-world event is too big.
Simulating weather patterns or the formation of galaxies is necessary because the scale of these events makes direct experimentation impossible.
How does a simulation compare with its real-world context?
A simulation is an abstraction or simplification of a real-world context, designed to mimic it for a specific purpose, often without its real-world constraints like danger or cost.
A team creates a traffic simulation but only includes data for cars, excluding trucks and buses. What is this an example of?
This is an example of how bias can be derived from the choices of real-world elements that were excluded from a simulation, potentially leading to inaccurate results.
What is the primary purpose of a simulation that mimics a real-world event?
The primary purpose is to draw inferences and allow for investigation of the event without being limited by real-world constraints.
If you wanted to simulate the outcome of flipping a coin multiple times, what tool would be essential to represent the real-world variability?
A random number generator would be essential to simulate the variability and unpredictability of flipping a real-world coin.
Why is it important to be aware of the abstractions made when creating a simulation?
It is important because the choices of which details to remove or simplify can introduce bias, potentially affecting the validity of the simulation's outcomes and inferences.
What is the relationship between a simulation's 'purpose' and its level of abstraction?
A simulation is an abstraction for a specific purpose; the purpose dictates which details are essential to keep and which can be simplified or removed.
What is involved in the process of developing an abstract simulation?
Developing an abstract simulation involves removing specific details or simplifying the functionality of the real-world object or phenomenon being modeled.
In the context of simulations, what is an 'abstraction'?
An abstraction is a simplified representation of a more complex object or phenomenon, created by removing specific details or simplifying functionality for a specific purpose.
How can bias be introduced into a simulation?
Bias can be introduced into a simulation based on the choices made about which real-world elements to include or exclude during its development.
How do simulations aid the scientific process of forming hypotheses?
Simulations facilitate the formulation and refinement of hypotheses by allowing researchers to test and observe outcomes related to the phenomena under consideration in a controlled environment.
How do computers represent real-world phenomena?
Computers use simulations, which are abstractions of complex phenomena, to represent real-world outcomes. They use varying sets of values to reflect the changing state of the phenomenon being studied.
Provide an example of a situation where a simulation is useful because the real-world event is too slow.
Simulating planetary formation or geological erosion allows researchers to observe processes that take millions of years in a compressed timeframe.
What is a key limitation of a simulation when compared to a real-world event?
A key limitation is that a simulation is an abstraction and may contain bias from excluded details, meaning it might not perfectly represent all aspects of the complex real-world event.
Under what general circumstances are simulations most useful?
Simulations are most useful when conducting real-world experiments is impractical.
Provide an example of a situation where a simulation is useful because the real-world event is too dangerous.
Simulating a car crash or a nuclear power plant failure allows for investigation without the dangerous, real-world consequences.