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Course Criteria
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3.00 Credits
Credits: 3 Topics of special interest to undergraduates. Prerequisites 60 credits toward BS in systems engineering; specific prerequisites vary with nature of topic. Notes May be repeated for maximum 6 credits if topics are substantially different. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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3.00 Credits
Credits: 3 Cross-Listed with CSI 600 Provides quantitative foundations necessary for core courses in systems engineering and operations research master's program, and certificate program in C4I. Topics include vectors and matrices, infinite series, partial differentiation, multiple integrals, differential and difference equations; linear systems; Laplace and Z-transforms, and probability theory. Students receive graduate credit for this course, which, when used on plan of study, extends minimum credit requirements for degree. Prerequisites MATH 203, 213. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0 When Offered F
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3.00 Credits
Credits: 3 Comprehensive examination of methods and processes for the identification and representation of system requirements. Investigation of the systems acquisition life cycle with emphasis on requirements definition, including functional problem analysis. Examination of the systems engineering definition phase including requirements, problem analysis, definition, and functional economics. Specification of functional and nonfunctional requirements, and associated requirements proto-typing. Functional economic analysis, including the use of prevailing cost estimation models and planning and control of common operating environments. Lecture and group project including creation of requirements and use of cost estimation model. Prerequisites Graduate standing. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0 When Offered F, S
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3.00 Credits
Credits: 3 Intensive study of the design and development portion of the systems engineering life cycle for information technology and software intensive systems. Analysis and design processes for information system engineering. Entity-relationship models, object-oriented modeling and analysis, structured analysis and design. Life cycle models for the development of systems. Technical direction and systems management of organizational processes. Systems engineering and information technology standards. Prerequisites SYST 510 or equivalent. When Offered s
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3.00 Credits
Credits: 3 Principles of strategic quality, including TQM. Quality standards including ISO9000 and 14000. Organizational leadership, cultures, and process maturity, reengineering. Quality, organization learning, and reengineering approaches to enable information integration and management and environment and framework integration in the systems engineering of knowledge intensive systems. Emphasis is placed on the role of integrated product and process design teams, standard and commercial off-the-shelf products in enterprise integration. Architecture-driven system characteristics are studied, as is transition management of legacy systems. Prerequisites SYST 510 or 520. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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3.00 Credits
Credits: 3 System design and integration methods are studied and practiced, including structured analysis and object-oriented based techniques. Life cycle of systems is addressed, including definition and analysis of life cycle requirements. Software tools are introduced and used for the systems engineering cycle. Identification of preliminary architectures. Students are expected to develop a system design for a system of their choice using both the structured analysis and object-oriented techniques presented in class and they will make presentations on these designs. Prerequisites Graduate standing. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0 When Offered F, S
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3.00 Credits
Credits: 3 Cross-Listed with OR 643 Network nomenclature. Elementary graph theory. Linear and nonlinear network models: multi-commodity flow, mathematical games and equilibria on networks, network design and control. Dynamic network models. Applications to transportation, telecommunications, data communications, and water resource systems. Prerequisites MATH 213 and 203 or equivalent; OR 441 or 541. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0 When Offered F
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3.00 Credits
Credits: 3 Provides techniques for evaluating cost and operational effectiveness of system designs and systems management strategies. Discusses performance measurement, work breakdown structures, cost estimating, quality management, configuration management, standards, and case studies of systems from different application areas. Prerequisites Graduate standing. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0 When Offered F, S
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3.00 Credits
Credits: 3 Cross-Listed with OR 540 Operations research techniques and their application to managerial decision making. Mathematical programming, Markov processes, queuing theory, inventory models, PERT, CPM, and computer simulation are covered, as well as use of contemporary computer software for problem solving. Case-study approach to problem solving is used. OR/MS and SE/MS. Prerequisites MATH 108 and STAT 250 or DESC 210; or equivalent. Notes Majors do not receive credit. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0 When Offered F, S
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3.00 Credits
Credits: 3 Cross-Listed with EEP 602 Studies design of computerized systems to support individual or organizational decisions. Teaches systems engineering approach to decision support system (DSS) development. DSS is end product of development process, and process is key to successfully integrating DSS into organization. Any DSS is built on a theory (usually implicit) of what makes for successful decision support in given context. Empirical evaluation of specific DSS and the underlying theory should be carried on throughout development process. Course examines prevailing theories of decision support, considers issues in obtaining empirical validation for theory, and discusses empirical support that exists for theories considered. Students design decision support system for semester project. Prerequisites SYST 301 or graduate standing. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0 When Offered F
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