It is NOT of a great importance that the approximations in computable models is correctly identified, understand, and documented by scientist.

Computational science involves working with computable scientific models, which are either constructed from first principles or more frequently as approximations to non-computable models.

A scientist doesn't need to know the clear distinction between a model and a tool in computational science.

Lack of understanding and verification using the tools and models in computational science may lead to undesirable consequences.

In computational science, the key player in implementation of numerical treatment and visualization of results is (validation)

Many scientific models are formulated in the framework of a (theory) which defines the general rules for a large class of models.

(Numerical Treatment) are often labeled as "virtual experiments" with the goal of obtaining information that is difficult or impossible to obtain from the observation.

(Computable models) are the models that are of prime interest in computational science and whose result can be compared to data from observations.