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Course Criteria
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0.00 - 3.00 Credits
3 Credits 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. Prerequisite: SYS 301.
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0.00 - 3.00 Credits
3 Credits An understanding of the decision-making process usually requires simplification of the complexity facing the systems engineer and associated decisionmaking. This course examines methods such as modeling and simulation (M&S) for identifying/ generating alternatives, evaluating their outcomes in terms of risk and benefit, and ultimately providing management authority with options and recommendations on such alternatives to support effective decision-making. Topics include both technical and economic evaluation models and methods. The course also emphasizes the importance of program controls (for example, PERT) and system configuration control. Prerequisites: SYS 301, EC 225.
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0.00 - 3.00 Credits
3 Credits Current trends in system development indicate that, in general, complexity is increasing, and many systems in use today are not meeting the needs of customers. These trends, combined with past practices, have tended to create an imbalance between cost and effectiveness. This course addresses this important aspect of systems engineering by examining cost and economic factors under the general theme of design for affordability. An introduction to life-cycle costing is followed by a focus on costs as they occur throughout the system life cycle. Types of contracts (for example, fixed price, cost-plus) are studied. The steps in the life-cycle cost analysis process are examined through the use of examples, and the applications and benefits of life-cycle costing are summarized. Prerequisite: SYS 304.
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0.00 - 3.00 Credits
3 Credits Provides a second, advanced course in control systems, with emphasis on the multidimensional state-space approach. Application of digital control systems in aerospace instrumentation, sensors, guidance, and navigation. Addresses optimal control systems, including multi-objective control, and introduction to advanced methods such as fuzzy systems control, neural networks, and genetic algorithms. Prerequisite: EE 401 or equivalent control systems course.
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0.00 - 3.00 Credits
3 Credits This course provides an arena for applying many of the important techniques in systems engineering through the development of a deep space exploration mission, from mission definition through system concept and design. Considerations will be given to all aspects of mission development and operations including spacecraft design, communications, navigation, payload data handling, personnel, and cost. Students will be assigned to discipline teams, working together in a systems engineering context to produce project documents (concept of operations, project plans, schedules, budgets, mission operations plans, and system design documents). Prerequisite: SYS 403 or permission of the instructor.
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0.00 - 3.00 Credits
3 Credits This is the capstone course for the systems engineering track. The project will involve setting system characteristics, specifications, interfaces, and so on, and planning and scheduling the design process. Complete analysis is required from performance, costs, and reliability. Although an electrical component is dominant, other disciplines such as software, mechanical, and fluid will be involved. The course requires the completion of a detailed project document package. Prerequisite: SYS 403 or permission of the instructor.
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0.00 - 2.00 Credits
1 Credit This course is required of all adult undergraduate students seeking an assessment of their prior experiential learning by portfolio. Students will assess their prior learning experiences in light of career and educational goals. The online learning course is designed to assist students in life and career planning, goal clarification, career concerns, portfolio preparation, and the development of college success skills. The focus is on methods of self-assessment of prior learning work/education/training experiences and procedures for assembling a portfolio to document learning experiences. This course is graded Satisfactory/Unsatisfactory and is required for students who seek prior learning portfolio evaluation. Students must register for UNIV 102 within six months of course registration.
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0.00 - 1.00 Credits
1 Credit Introduces students to various elements involved in obtaining a position in their chosen fields. Topics include self-assessment, research and selection of a career path, sources of jobs, job-search techniques, resumes and letters of application, references, interviewing skills, business etiquette, and professional image. Each student will develop a career portfolio including personal and professional information related to career goals.
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0.00 - 3.00 Credits
3 Credits This survey course in atmospheric science includes applications to flight. Included is a systematic development of the following: thermal patterns, atmospheric moisture, horizontal and vertical pressure patterns, clouds, atmospheric circulation, local winds, stability, air masses, fronts, fog, icing, thunderstorms, jet streams, and turbulence. Students will study and make use of surface weather observations, surface maps, and constant pressure maps. Prerequisite: MA 006 or equivalent.
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0.00 - 3.00 Credits
3 Credits Geographic Information Systems (GIS) encompass all aspects of spatial data analysis from data acquisition and manipulation through problem solving to the graphic presentation of results. This course surveys GIS theory and applications as students learn to store, retrieve, manipulate, analyze, and display spatial data according to a variety of user-defined specifications. Lectures will emphasize fundamental principles of GIS while computer-based exercises will emphasize training.
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