Systems Engineering (SYS)


SYS 301  Introduction to Systems Engineering  3 Credits (3,0)

Provides an overview of systems engineering in the development of large systems, including genesis and need, characteristics of systems and system engineers, the system life cycle (from birth to death), design for operational feasibility, project management, structure, and system control, statistical/probabilistic models in dealing with risk inherent in large, complex systems. Emphasis on the importance of system requirements regarding total system performance, interfaces, cost, schedule, optimization, and trades.
Prerequisites: MA 242.

SYS 302  System Engineering Design Considerations  3 Credits (3,0)

This course examines the considerations in developing systems that meet specified system performance requirements while also achieving necessary levels of reliability, maintainability, and supportability consistent with the operational requirements. In addition, consideration is given to issues associated with producibility and disposability. Mathematical methods associated with reliability, maintainability, and supportability are discussed and applied. Liberal use of examples is incorporated to illustrate the interactions and relationships of these metrics, and how they are used to measure and trade off among these elements. The intent is to sensitize the systems engineer to the need for technical, schedule, and cost trade-offs to achieve desired yet safe and affordable system performance.
Prerequisites: AE/ME students need C or better in SYS 301.

SYS 303  Optimization in Systems Engineering  3 Credits (3,0)

This course emphasizes that the optimization of some subsystems may be detrimental to others and hence to overall system performance or cost. Topics include traditional optimization methods, such as classical parameter optimization linear programming, dynamic programming, numerical methods (for example, perturbation and gradient techniques), and genetic algorithms. In addition, techniques such as Pareto or multi-objective optimization are examined with the aim of achieving a sufficient balance among subsystem performance and cost, ultimately to obtain an overall optimal system.
Prerequisites: AE/ME students need C or better in SYS 301.

SYS 304  Trade Studies, Risk and Decision Analysis  3 Credits (3,0)

Methodologies for conducting comprehensive, traceable, and justifiable trades, as well as risk and decision-making analyses in Systems Engineering. Decision analysis methods for determining and selecting the appropriate alternative(s) based on various criteria are explored. Topics include Pugh matrices, Analytical Hierarchy Process (AHP), probabilistic decision making, and game theory. The student should develop a comprehensive understanding of trade studies and be able to apply risk and decision techniques in selecting appropriate choices.
Prerequisites: MA 242.

SYS 310  Systems Architecture, Modeling and Simulation  3 Credits

This course introduces the student to the elements of systems functional and physical architecture and their role in managing system complexity and development effort. Students will learn the fundamentals of system functional modeling, the development different fidelity models through the system life cycle. Also students will learn one of the common modeling techniques such as Integrated Definition for Function Modeling (IDEFO) or SysML and couple these with physics or data driven simulations of a system for design performance validation.

SYS 415  Systems Engineering Practices: Specialty Engineering  3 Credits

Builds on basic concepts introduced in SYS 301 dealing with system testing and the specialty engineering disciplines of reliability, maintainability, supportability, producibility. Probability and statistics are reviewed and applied in these areas. Students gain a comprehensive understanding of the elements of specialty engineering, as well as the skills to apply those elements.