1

Visualize the problem and set up parameter table with starting value x₀ and incremental Δx values (or in this case t₀ and Δt) of their inputs (independent variables), as well as the values of any “constants” that could be changed.

2

Organize your data into functions with an input, an output, and a rule connecting them.

3

Build and complete the model by adding additional functions and functions of functions.

4

Test and iterate your model to improve it and solve the problem. Add graphs, conditional formatting, or other data representations to design the output to communicate the results.

5

Now ask “What if…” I change this assumption, change the model, or input different data? Think out-of-the-box. Apply what you built to new situations and new problems.