This course provides a high-level view of systems thinking, systems engineering, physical system modeling and model-based systems engineering (MBSE) in the context of digital transformation initiatives taking place in government and industry. Examples of systems engineering practice are drawn from government acquisition processes. State-space models of system dynamics are introduced considering deterministic and random effects. Security primitives and threat modeling tools are reviewed and their integration during the design phased discussed. System dynamics will be simulated using MATLAB, Simulink and Python programming platforms Students will learn to implement MBSE using the systems modeling language (SySML) and supporting commercial or open-source software platforms In team-based project work, students will emulate a digital transformation of stakeholder requirements examine design trade-offs by integrating the MBSE representation with dynamic system simulations.
Undergraduate Degree in Engineering, Science or Business with Calculus Knowledge.