Speakers
Description
Research and teaching in engineering often rely on small computational experiments, but these are frequently implemented as isolated scripts that are difficult to reproduce, extend, or reuse. This work presents a reproducible research software workflow for tolerance-aware simulation of series and parallel resistor circuits, designed to support both exploratory analysis and teaching-oriented computational practice.
The proposed workflow generates multiple circuit instances by varying resistor values within predefined tolerance ranges and evaluates the resulting behavior of equivalent resistance, current, voltage, and power-related quantities across repeated simulations. Rather than focusing only on circuit outputs, the project emphasizes software organization, reproducibility, and structured experimentation. The workflow is intended to make simulation results transparent, comparable, and easy to inspect, while also enabling reuse in other educational or research contexts.
A central contribution of this work is the reformulation of a classical introductory electrical engineering topic as a compact and reusable research software case study. Simple resistive circuits become a practical setting for discussing uncertainty-aware computation, automated scenario generation, and reproducible result analysis. This makes the project suitable not only for engineering applications, but also for teaching programming, simulation workflows, and computational reasoning through a familiar domain example.
By connecting electrical circuit modeling with reproducible research software practices, this work aims to contribute to ongoing discussions on reusable scientific code, transparent computational experiments, and the integration of programming and simulation into engineering education.