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Graduate Certificate - Model Based Systems Engineering
Recent advances in technology demands and the increased level of interconnectivity achieved through Internet and broadband communication technology is leading to systems that are increasingly complex. To manage this complexity, computational modeling and data resources have become nearly ubiquitous in Systems Engineering, driving the profession from a document-centric paradigm to a model-centric one. Model Based Systems Engineering provides the means to construct models that capture system structure, behavior, and requirements and maintain consistency of these models automatically between collaborating engineers. These models can then be used in tandem with engineering and mathematics tools to quickly gain insight into the overall system performance over the entire lifecycle before a system component is ever made.
This graduate certificate program provides practicing engineers the opportunity to develop the necessary skills in the use of current modeling techniques to develop and simulate complex, multi-disciplinary engineering systems. In addition, engineers will learn methods to automate data acquisition for system development, establish rules for reusability of model resources, and acquire necessary skills for simulating the designed systems.
Sys Eng 6541 Distributed Systems Modeling
This course will discuss issues related to distributed systems architecting, modeling, analysis and representation, with specific focus on discrete-part manufacturing domain. Distributed modeling techniques and other model decomposition methods using simulation modeling and scalability issues will also be addressed.
Sys Eng 6542/ Comp Sci 6102 Model Based Systems Engineering
Provides the student with understanding of the use of models to represent systems and validate system architectures. The student will gain proficiency in using a systems modeling language and shifting systems engineering from a document centric to a model centric paradigm. Prerequisite: Graduate Standing
Sys Eng 6239 Smart Engineering Systems Design
Covers the tools, techniques and methods used in developing Flexible Intelligent Learning Architectures for system of systems (SoS) and cyber physical systems (CPS) through evolutionary approach. Meta-architecture generation algorithms, SoS and CPS architecture evaluation methods, executable architectures, many meta-architecture objectives trades. Prerequisite: Graduate Standing.
Eng Mgt 5411 Engineering Design Optimization
This course is an introduction to the theory and practice of optimal design as an element of the engineering design process. The use of optimization as a tool in the various stages of product realization and management of engineering and manufacturing activities is stressed. The course stresses the application of nonlinear programming methods. Prerequisite: Math 3304 or 3329.
This certificate program is open to all persons holding a BS, MS, or PhD degree with a degree in Engineering or hard science with a minimum cumulative GPA of 2.75 and who have a minimum of 12 months of professional employment experience or are currently accepted into a graduate degree program at Missouri S&T.
Once admitted to the program, the student must take the four designated courses. In order to receive a Graduate Certificate, the student must have an cumulative grade point average of 3.0 or better in the certificate courses. Once admitted into the program, a student will be given three years to complete the program.
Students admitted to the Certificate Program will have non-degree graduate status but will earn graduate credit for the courses they complete. If the four-course sequence is completed with a grade of "B" or better in each of the courses, they will be admitted to the appropriate MS program if they apply. The Certificate course taken by students admitted to the MS program will count towards their master’s degree. Students who do not have all of the prerequisite courses necessary to take the courses in the Certificate Program will be allowed to take "bridge" courses at either the graduate or undergraduate level to prepare for the formal Certificate courses.