The direct relation between the computational elements and the parts of the equation opens up for very direct insights into the equation itself therefore into the behavior of the physical system represented by that equation.

For instance, one can adjust a coefficient representing a physical entity (easily done by means of a potentiometer) and observe the result of the changes.

Moreover, the direct correlation with the equation means that programming the computer becomes a way to learn the math behind. 

For those reasons, although analog computers are generally considered things of the past, belonging to a time before digital computers became available, they have not lost their value. On the contrary: programming an analog computer and monitoring its operation is an interesting and insightful task for hobbyists as well as for students or researchers.

Thanks to the support by PCBWay, who sponsored the initiative, this project is delivering the analog computer in form of modules that can be purchased ready-made. The schematics will be published as well as the description of the interfaces so that one can build own modules if wished, or modify the existing ones. 

Setting up an analog computer requires some practice, in particular regarding scaling of amplitude and time. Two software applications in Python are made available to facilitate the job, one about linear ordinary differential equations - ODEs, most common way to describe physical phenomena, here I propose to apply the state-space principle to explain the concept, as described in the web site - one helping with non-linear equations. https://ljus1357.se.