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 systems modeling and database design and management.  It introduces the student to disparate data types and how to gather data from multiple sources and transform it for incorporation into systems engineering (SE) models. Relationships between different types of modeling systems with Systems Models are investigated. Emphasis may be placed on modeling programs, 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. 

This capstone course consists of a real-world project in support of an industrial partner. Working as a team or teams, students will interact with the customer, develop an understanding of the objectives, deliverables, and the proposed or existing system. The students will evaluate available documentation, existing models, and determine a project schedule and work breakdown structure for their effort. Based on discussions with the customer, evaluation of the system, and recognition of the objectives of the project, the students will determine the scope and focus on the model needed. As a team or teams, the students will then design, document, build, test, and utilize a realistic, properly representative, model for that system. The students will also identify maturity paths for that model and opportunities to connect to other digital tools.