Four-day course on quantitative architecture decisions: value models, design-space and tradespace exploration, performance models and robustness analysis, applied to a participant's own problem.
Teaches system architects and engineers to explore architecture design spaces quantitatively and make better-founded architecture decisions. Four modules cover the problem and value space (stakeholders, measures of effectiveness, multi-attribute utility models), defining and modeling the architecture design space with performance models, generating and exploring the tradespace with cost, performance and value trade-offs and Pareto analysis, and robust decision-making with sensitivity and uncertainty analysis. Self-learning phases and individual coaching apply the methods to an architecture challenge from each participant's own work.
Facilitator not identified in public sources checked.
Blended course on SysML fundamentals: model properties, general SysML concepts and the diagram types, applied by building a SysML model in two webinars; follows Bertrandt's SE/MBSE Module 1.
Three-day overview of MBSE and its use in an organization: people, process and tools, structural and behavioral modeling, views, and framework adoption.
Course facilitators may include: Jon Holt
Two-day introduction to a structured systems approach to design, including model-based techniques, trade studies and design-related engineering disciplines.