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  • 3.00 Credits

    This course will introduce methods of optimization, simulation, and analysis for a variety of complex systems -including linear optimization,non-linear optimization,and data modeling. It will also introduce business analytics, the types of business analytics and their uses and advantages. Students will apply business analytics and modeling techniques to improve design for feasibility concepts of a complex system. Software used will include SQL, Visual Basic,Excel, and similar languages. Prerequisite:    SE 6140
  • 3.00 Credits

    This course will introduce physics and statistics-based methods and commonly used damage functions for weapon lethality, probability of successfully attacking targets, target vulnerability, and arrival conditions of weapons. Topics include, deterministic methods, Monte Carlo simulations, the Carleton damage function, the cookie cutter function, blast damage function, weapon trajectory, and the limitations of lethality of a particular target/weapon pairing.
  • 3.00 Credits

    Systems thinking deals with understanding the higher-level behavior and issues that emerge from interaction between components in complex socio-technical systems. Most of the complex and wicked problems in the real world are not purely technical, are usually dynamic, and are often an unintended consequence of a prior solution. One method to approach system thinking is with System Dynamics.System Dynamics is not new in a purely technical sense. However, applying this type of model-based systems thinking to solve Complex Engineering Systems (that fall into the full socio-technical spectrum) is relatively new. This course emphasizes Systems thinking, dynamic cause and effect relationships, and the higher-level emergent behavior that results from the interaction of many smaller effects that are individually well understood, but more difficult to grasp at the higher emergent or integrated level. Software tools are used in this class but developing the intuition and skills to solve real world complex system type problems is the major take away for the students. This course will benefit engineers who want to gain an appreciation for the associated Socio-Technical problems that arise in the real world in developing complex engineering systems.Computer tools will be introduced to provide hands-on practical skills with the above topics. Mastery of the concepts introduced in this course should give students a significant competitive advantage in the marketplace.Students apply methods and tools through in-class lab work and deliverables. The objective of the course is to study the application of systems thinking to enhance proven systems engineering practices to increase the success of meeting societal needs for the development of complex systems.
  • 3.00 Credits

    Organizational Systems provides engineers with organizational-level skills to recognize, develop, analyze, improve, and sustain organizational subsystems. The course blends the most useful mental models from organizational theory and design, industrial psychology, and organizational behavior. Participants complete multiple applied deliverables to connect theory and application. Open systems thinking, structural design, internal design elements, and managing dynamic processes frame the content.
  • 3.00 Credits

    System of systems is a collection of task-oriented or dedicated systems that pool their resources and capabilities together to create a new, more complex system which offers more functionality and performance than simply the sum of the constituent systems. This course will introduce the subsequent sustaining maintenance & support of the system throughout its entire life cycle, including end of life/disposal. It will also include different DoD tailorable concepts to effectively manage and field product. Topics include: Reliability Growth, Initial Contractor Support (ICS), and Performance-Based Logistics (PBL)Sytems of Systems (SoS) or Federation of Systems (FoS).
  • 3.00 Credits

    This course targets systems engineering professional. It will prepare you to take the International Requirements Engineering Board's certification exam, to elicit and analyze requirements, document and validate requirements, create UML and SysML use cases, manage requirements, and demonstrate systems requirements for a development project.
  • 3.00 Credits

    Introduction to formal system architecture methods using the Systems Modeling Language (SysML) and Model-Based Systems Engineering (MBSE) with detailed case studies. Students will apply the methodology to build architecture models, analyze internal and external interactions, and plan appropriate approaches for implementation. Topics include digital engineering, iterative MBSE techniques, model structure interactions and behaviors based on requirements and constraints, and creating key diagrams (such as use-case, sequence, and activity) Prerequisite:    SE 6010 and SE 6370 Corequisite:    SE 6385
  • 1.00 Credits

    Students will develop and submit a proposal for a system to architect and model for course SE 6390. The instructor will provide guidance in selecting and scoping of the system.
  • 3.00 Credits

    Students will apply advanced enterprise and system modeling techniques, using state-of-the-art modeling tools, methodologies, architecture frameworks, and languages as well as performing model-based reviews and audits, in the context of enterprises and systems from both supplier and acquirer perspectives. Prerequisite:    SE 6380
  • 3.00 Credits

    This course is a continuation of SE 6380 MBSE 1. Students will use their project artifacts from MBSE 1 and apply and explore more advanced capabilities of the Magic Systems of Systems Architect (MSOSA) modeling tool. Additionally, this course will cover the importance of governing a system architecture model and MBSE project. Students will develop a governance plan and have an opportunity to explore modeling.This course will cover the basics of the system modeling language (SysML) managed by the Object Management Group (OMG) and build upon the basics from the MBSE 1 course.Computer tools will be introduced to provide hands-on practical skills with the above topics. Mastery of the concepts introduced in this course should give students a significant competitive advantage in the marketplace.Students apply methods and tools through in-class lab work and deliverables. The objective of the course is to study the application of MBSE to enhance proven systems engineering practices to increase the success of meeting customer needs for the development of complex systems.