Introductory Courses on Digital Twins: an Experience Report

TL;DR

This paper reports on two newly developed courses on Digital Twins, highlighting the challenges and lessons learned in teaching diverse student groups about model-based engineering approaches.

Contribution

It introduces and compares two courses on Digital Twins tailored for students with different backgrounds, emphasizing effective teaching strategies.

Findings

Diverse backgrounds require tailored teaching approaches.

Common baseline knowledge enhances learning outcomes.

Experiences inform future course development.

Abstract

We describe and compare two new courses on model-based approaches to the engineering of Digital Twins. One course was delivered to doctoral students from a range of largely non-computational backgrounds, and the other to Masters students with computing experience. We describe the goals, content and delivery of the courses, and review experience gained to date. Key lessons focus on the importance of providing common baselines for participants coming from diverse technical backgrounds.