Model your system of interest – Simple Models for Complex Questions

This workshop introduces a practical, hands-on approach to systems modeling, focusing on how to start simple and build useful models that help answer important questions about your system of interest. Whether you’re modeling a technical system, a business process, or even an everyday object, the key is to start with what you know and develop clarity step by step.

We begin with a straightforward “model your SoI” activity that invites participants to choose a system of personal or professional relevance. Through a sequence of guided exercises, we will explore how to transfer our knowledge into a structured, scope-specific representation for better communication and to support better decision-making.

Rather than focusing on any specific tool or language, the workshop emphasizes modeling as a way of thinking. Concepts such as scope, purpose, behavior, structure, and stakeholder concerns will be explored in an accessible and engaging way.

This workshop is ideal for anyone who wants to develop practical modeling skills without getting bogged down in technical detail. Whether you’re a seasoned systems engineer or new to MBSE practices, you’ll leave with a set of simple but powerful techniques you can use in your own projects.

You will learn:

  • How to frame and scope a system of interest
  • How to use models to clarify understanding and support questions
  • How to transfer domain knowledge into structured representations
  • Simple techniques for describing structure, behavior, and interactions
  • How to incrementally build models that evolve with your understanding

Who should attend:

  • Systems engineers at any level of experience
  • Project teams needing to align understanding across disciplines
  • Educators and students looking for approachable modeling practices
  • Anyone curious about how models support clear and simple thinking about systems

 

Moha Chami
Dr Mohammad Chami is the founder and CEO of SysDICE GmbH, with a distinguished career in Model-Based Systems Engineering (MBSE). He is an MBSE expert with extensive academic and industrial experience in modeling languages, processes, and the development and deployment of systems modeling methods, as well as tool customization.
In recent years, his focus has shifted toward the application of artificial intelligence (AI), specifically natural language processing, machine learning and large language models, in MBSE.
Mohammad holds a Ph.D. in Computer Science from Université Paul Sabatier Toulouse III and two master’s degrees in Electronics and Mechatronics. He has been an active member of INCOSE since 2014.

 

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