Introduction and Outline
Outline
In this chapter we'll introduce and discuss the concept of the model and how we use various types of models to make sense of our world. Importantly, we'll think about how models of various types help us learn, and how scientists and engineers use models to discover new things about the systems that they study. In this text, we'll utilize computational models (among others) to help us learn about materials. The two types of models that feature centrally in this text are Molecular Dynamics and Monte Carlo, both of which are highly applicable in Materials Science and Engineering, but also in all sorts of fields: physics, chemistry, mechanical engineering, industrial engineers (at least Monte Carlo), and even in the social sciences. Skills that you gain with constructing, using, and evaluating these models should be applicable regardless of what you end up studying!
The outline is as follows:
- Section 2.2 - What are Models?:
- Section 2.4 - Types of Models:
- Section 2.5 - All Models are Wrong, Some are Useful:
- Section 2.6- Models in the Processes of Science and Engineering:
- Section 2.7 - Mental Models and External Representations:
- Section 2.8 - Model-based Learning:
- Section 2.8 - Feedback and Comments:
Outcomes
By the end of this modules, we want students to be able to, in broad terms:
- Understand what a "model" is.
- Classify different types of models, including computational, equation-based, and various structural models.
- Understand how models are used in the processes of science and engineering.
- Engage with pre-built models to make scientific observations.