* Virtual * Live Instructor * Public *
Elevate your modeling skills, move beyond descriptive architectural models and advance into decision-driving analytical models. This course teaches you how to transform static architecture models into powerful, predictive tools that help solve complex engineering challenges. By integrating analytical techniques with descriptive system models, you will learn to predict system behavior, assess risk, evaluate trade-offs, and inform critical decisions- moving beyond MBSE as a mere documentation effort to MBSE as a true systems engineering discipline. You will gain hands-on experience creating specialized analysis contexts, integrating Python scripts and external APIs, managing requirements verification, modeling system performance, and conducting multi-objective trade studies. By the end of the course, you will be equipped with the skills needed to perform advanced digital engineering activities that directly support the development of complex, high-consequence systems.
This course is designed for professionals experiences in CATIA Magic products who want to move beyond architecture modeling and into decision-oriented modeling and system analysis.
Participants should be proficient in opening and navigating SysML models in CATIA Magic products and have a working knowledge of SysML. This course requires knowledge of SysML fundamentals; prior experience with SysML modeling is required. Participants should be prepared for a fast-paced hands-on learning approach. It is highly recommended that the participants use at least two monitors during the class. You will need to install Python on your computer and run the Magic Model Analyst plugin in CATIA.
