Systems Engineering Technology

This course is an introduction to systems engineering (SE) and the principles of systems definition, development, and maintenance.  Topics include a basic understanding of systems; SE objectives, terminology, and working methodology; the relationships between SE and other disciplines; the basic elements of the SE life cycle; the use of modelling; and the influence of programmatic considerations.  Emphasis is on developing an understanding of the Model-Based Systems Engineering (MBSE) methodology.  Teamwork and cooperative effort concepts are highlighted.

This course builds on prior coursework and/or experience in database design and management.  It introduces the student to disparate data types and how to gather data from multiple sources and transform it to be ready for incorporation into systems engineering (SE) models. Database design and construction concepts are explored within the SE context.  Emphasis may be placed on data structures, languages, and platforms commonly used in a specific industry.

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 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 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. 

Working as teams, students design, develop, document, test, evaluate, and utilize a realistic, comprehensive model for a system that will mature and connect information across the system life cycle from definition to disposal, using SysML and MBSE tools. Students will apply data visualization tools to present information from the model in an appropriate format for decision-making. Methods and connections to other external models including other systems models will also be incorporated, as appropriate.