Description should include
- the definition of model—represents something that exists in reality; an abstraction and simplification of reality; provides something to think with, build on (e.g., model trains, traffic models, hurricane tracking, infectious disease modeling, urban planning, economic modeling)
- the definition of simulation—the execution of a model on a computer; algorithms using data (e.g., city simulation games, real-time simulation, military simulation,)
- the process of modeling and simulating, as well as the concept that models are used as the basis for simulation
- the presence of models and simulations within homes and society (e.g., board gaming, chess, checkers, climate models, electoral models)
- experimental design methodologies, such as
- pre-assessment/post-assessment
- randomization
- control
- A/B testing (i.e., split testing).
Process/Skill Questions:
- What are the similarities and differences between models and simulations?
- How are models and simulations related?
- How do M&S apply to everyday life?
- What is the role of randomization and distribution of data in modeling?