Courses

Decision making for systems engineering and engineering management, with an emphasis on applications to complex systems. Builds a rigorous foundation in decision making under uncertainty using expected utility theory. Topics include decision trees, value models, predictive models, preferences and bias.

This is the first course in the three-course Systems Modeling sequence. It provides an introduction to the concept of a system and to systems modeling. It focuses on the concepts and tools necessary to generate a systems engineering (SE) model that represents a given system. Model documentation and the team approach to project management and execution are emphasized.

This is the first course in the three- course Systems Modeling sequence. It provides an introduction to the concept of a system and to systems modeling. It focuses on the concepts and tools necessary to generate a systems engineering (SE) model that represents a given system. Model documentation and the team approach to project management are emphasized.

This is the second course in the three-course Systems Modeling sequence. It provides an increase in knowledge of the concepts of a system and systems modeling. It focuses on the more advanced concepts and tools necessary to generate a systems engineering (SE) model that represents a given system. Model documentation and the team approach to project management and execution are emphasized.

This is the second course in the three-course Systems Modeling sequence. It provides an introduction to the fundamentals of the SysML programming language and other MBSE tools. Topics include the application of these tools to the systems and systems engineering concepts developed in SYS 101. Students build and manage models using the basic SysML feature set.

This is the third course in the three-course Systems Modeling sequence. It provides an increase in knowledge of the concepts of a system and systems modeling. It focuses on the more advanced concepts into and tools necessary to generate a SysML model that accurately represents a given system. Model documentation and the team approach to project management and execution are emphasized. Methods of determining model scope and planning content will be discussed,

This is the final course in the three- course Systems Modeling sequence. Additional MBSE modeling skills are developed, and more complex systems are modeled. Students build and manage models using the full SysML feature set.

This course examines disability and systems of care across the lifespan, with a focus on the impact of disability and services on individuals and families.

Linear systems of differential equations, stability, phase portraits; non-linear systems, linearization, qualitative properties of orbits, Poincare-Bendixson Theorem; numerical methods; applications.

Building on a working knowledge of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5-TR), this course examines systems of nosology of mental disorders, including systemic, biological, and behavioral. Students will analyze case material using appropriate nosological systems and provide appropriate treatment plans based on the diagnosis.