HS-ETS1-4 - Performance Expectation
Use a computer simulation to model the impact of proposed solutions to a complex real-world problem with numerous criteria and constraints on interactions within and between systems relevant to the problem.
High School · Next Generation Science Standards · NGSS Lead States 2013
Standard Unwrapping
AI-generated as a starting point — sign in to edit.Vocabulary
computer simulationmodelimpactproposed solutionscomplex real-world problemcriteriaconstraintsinteractionssystems
Skills
- use (computer simulations) #dok2
- model (impacts of solutions) #dok3
- analyze (criteria and constraints) #dok3
- evaluate (interactions within and between systems) #dok3
Learning Targets
- I can describe the purpose and function of a computer simulation used in engineering. #dok1
- I can identify the criteria and constraints related to a complex real-world problem. #dok1
- I can summarize different proposed solutions to real-world challenges. #dok1
- I can use a computer simulation to model a proposed solution based on given criteria and constraints. #dok2
- I can distinguish between interactions within a system and between multiple systems. #dok2
- I can compare the predicted impacts of different proposed solutions using simulation results. #dok2
- I can evaluate how effectively a simulation models the impact of solutions on systems interactions. #dok3
- I can analyze the strengths and limitations of simulations for modeling real-world problems. #dok3
- I can justify modifications to proposed solutions based on simulation outcomes and system interactions. #dok4
Big Ideas
- Computer simulations are powerful tools for modeling and predicting the impacts of proposed solutions to complex real-world problems with multiple criteria and constraints.
- The effectiveness of a solution can be assessed by analyzing how it impacts the interactions within and between systems using computational models.
Essential Questions
- How do computer simulations help engineers solve complex real-world problems?
- What information do we need to create an accurate simulation of a proposed solution?
- How can modeling interactions within and between systems inform better decision-making about solutions?
- What are the limitations and benefits of using simulations when addressing problems with many criteria and constraints?
- How do the criteria and constraints in a problem influence the choice of an optimal solution?
