DLCS18.HS.37

Digital Literacy and Computer Science (2018) Grade(s): 09-12

DLCS18.HS.37
Evaluate the ability of models and simulations to test and support the refinement of hypotheses.

Unpacked Content

Knowledge

Students know:

how to explain the use of models and simulations to generate new knowledge and understanding related to the phenomena or target system that is being studied.
how to explain the ability of models and simulations to test and support the refinement of hypotheses related to phenomena under consideration.

a.

that modeling and simulations are way to extrapolate and interpolate unrest situation and scenarios to help formulate, test and refine hypotheses.

b.

how to form a hypothesis.
how to test a hypothesis.
how to create a model or simulation.

c.

that simulations or models can be created to test a hypothesis but not provide the information expected or intended.
that it is vital to verify the data being generated by a model or simulation.

Skills

Students are able to:

use a diagram or program to represent a model to express key properties of a phenomena or target system.
research existing models and simulations and how they are used to test and refine hypotheses.
explain how existing models and simulations are used to test and support the refinement of hypotheses.

a.

create a model or simulation to formulate, test, and refine a hypothesis.
utilize a model or simulation to formulate, test, and refine a hypothesis.

b.

form a model of a hypothesis.
test the hypothesis by collecting and analyzing data from a simulation.

c.

examine a model or simulation to determine the correctness of the generated data.
examine a flawed model or simulation and identify areas in which it is providing incorrect data.

Understanding

Students understand that:

a simulation is based on a model and enables observation of the system as key properties change.
the accuracy of models and simulations are limited by the level of detail and quality of information used and the software and hardware used.
models and simulations are an effective and cost efficient way to understand phenomena and test and refine hypotheses.

a.

models and simulations are way to extrapolate and interpolate unrest situation and scenarios to help formulate, test and refine hypotheses.
models and simulations can be the only cost- ot time-effective way to test a hypothesis.

b.

Models and simulations can save money, are safer, usually requires less time, and do not have the environmental impact that a full experiment or operational test may induce.

c.

while a process may operate without errors, that does not guarantee that the process is providing accurate data to meet your needs.

Vocabulary

model
simulations
hypotheses
phenomena
target system

Aligned Learning Resources

Computer Science Principles Unit 4 Chapter 1 Lesson 2: Finding Trends With Visualizations

Computer Science Principles Unit 4 Chapter 1 Lesson 3: Check Your Assumptions

Computer Science Principles Unit 5 Chapter 2 Lesson 12: Loops and Simulations

Computer Science Principles Unit Post AP Chapter 1 Lesson 1: Introduction to Data

Computer Science Principles Unit Post AP Chapter 1 Lesson 2: Good and Bad Data Visualizations

Computer Science Principles Unit Post AP Chapter 1 Lesson 3: Making Data Visualizations

Computer Science Principles Unit Post AP Chapter 1 Lesson 4: Discover a Data Story

Computer Science Principles Unit Post AP Chapter 1 Lesson 5: Cleaning Data

Computer Science Principles Unit Post AP Chapter 1 Lesson 7: Practice PT - Tell a Data Story

Software Engineering

Modeling & Simulation: Nodes and Graphs

Design by Adaptive Theme