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  2. AP Computer Science Principles
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AP Computer Science Principles Flashcards: Simulations

Study Simulations in AP Computer Science Principles with focused flashcards that help you recognize the idea, recall the key rule, and apply it in practice-style prompts.

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What this deck covers

This deck focuses on Simulations, giving you a quick way to review the definitions, rules, and examples that matter most for AP Computer Science Principles.

How to use these flashcards

Work through these flashcards in short sessions. Try to answer each prompt before flipping the card, then revisit any cards you miss until the explanation feels automatic.

AP Computer Science Principles Flashcards: Simulations

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QUESTION

What is an 'output variable' in simulations?

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ANSWER

Variable that results from the simulation process. Dependent variable calculated from model inputs.

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Flashcard 1: What is an 'output variable' in simulations?

Answer: Variable that results from the simulation process. Dependent variable calculated from model inputs.

Flashcard 2: Identify a tool commonly used for building simulations.

Answer: Python. Popular language with extensive simulation libraries.

Flashcard 3: What is 'sensitivity analysis' in simulations?

Answer: Assesses impact of variable changes on outcomes. Tests model robustness to parameter variations.

Flashcard 4: Why is validation crucial in simulations?

Answer: Ensures model accuracy and reliability. Confirms model represents reality correctly.

Flashcard 5: What is meant by 'initial conditions' in simulations?

Answer: Starting parameters for a simulation run. Baseline state from which simulation evolves.

Flashcard 6: What is the significance of 'time step' in simulations?

Answer: Defines the interval for updating the simulation. Smaller steps increase accuracy but require more computation.

Flashcard 7: What is the primary goal of a simulation model?

Answer: To replicate a system's behavior accurately. Faithful representation enables valid predictions.

Flashcard 8: What is a 'deterministic simulation'?

Answer: A simulation with no random elements. Predictable outcomes with identical inputs every time.

Flashcard 9: What role does visualization play in simulations?

Answer: Helps interpret and analyze simulation data. Makes complex data patterns more understandable.

Flashcard 10: What does 'real-time simulation' mean?

Answer: Simulation that runs concurrently with real time. Processes data at same speed as reality.

Flashcard 11: What is a 'baseline model' in simulations?

Answer: A simple model for comparison with complex ones. Provides reference point for evaluating improvements.

Flashcard 12: Identify a risk of overfitting in simulations.

Answer: Poor generalization to new data. Model becomes too specific to training data.

Flashcard 13: What does 'parameter tuning' involve?

Answer: Adjusting model parameters for optimal performance. Optimizes model performance through parameter adjustment.

Flashcard 14: Identify an advantage of digital simulations over physical models.

Answer: Easier to modify and replicate. Digital models allow rapid iteration and testing.

Flashcard 15: What does 'scalability' refer to in simulations?

Answer: Ability to handle larger or more complex models. Determines how well system handles increased complexity.

Flashcard 16: Identify a characteristic of a 'probabilistic model'.

Answer: Incorporates randomness and uncertainty. Uses probability distributions for realistic modeling.

Flashcard 17: What is a 'dynamic simulation'?

Answer: Models systems that change over time. Captures temporal evolution and state transitions.

Flashcard 18: Identify an industry heavily reliant on simulations.

Answer: Automotive industry. Vehicle design and crash testing use simulations.

Flashcard 19: Find and correct the error: 'Simulations predict exact outcomes.'

Answer: Correct: 'Simulations predict likely outcomes.'. Simulations show probabilities, not certainties.

Flashcard 20: What is a simulation in computer science?

Answer: A model that mimics real-world processes. Uses computational models to replicate real phenomena.

Flashcard 21: Identify a key purpose of simulations.

Answer: To predict outcomes of real-world scenarios. Enables testing scenarios without real-world risks.

Flashcard 22: Which term describes a repeated simulation process?

Answer: Iteration. Repeated execution improves accuracy and reliability.

Flashcard 23: What is Monte Carlo simulation?

Answer: A method using random sampling for predictions. Named after Monte Carlo casino, emphasizes randomness.

Flashcard 24: State a benefit of using simulations.

Answer: Cost-effective risk assessment. Avoids expensive real-world testing and failures.

Flashcard 25: Which programming concept is often used in simulations?

Answer: Loops. Enables repetitive processes essential for modeling.

Flashcard 26: What is an agent-based simulation?

Answer: Models individual agents' interactions. Each agent follows rules, creating emergent behavior.

Flashcard 27: Identify a limitation of simulations.

Answer: May not capture all real-world variables. Simplification means missing important factors.

Flashcard 28: What is the role of randomness in simulations?

Answer: Introduces variability and uncertainty. Mimics real-world unpredictability and chance events.

Flashcard 29: Define 'discrete event simulation'.

Answer: Focuses on events at discrete time points. Events occur at specific moments, not continuously.

Flashcard 30: What is a continuous simulation?

Answer: Models systems with continuous changes over time. Uses differential equations for smooth transitions.