All courses are four credits, except where shown. For those taking 5 or more credits in a term, please be advised that PSU requires health insurance. If you already have coverage, you must fill out a waiver request soon after registering see Student Resources or you will be charged for PSU health insurance. Elective courses may come from list below or from a Grad course from any accredited university, based on a plan of study agreed upon by both advisor and the student:.
Trade Studies Module Space Systems Engineering, version 1.0
This practicum involves the student, faculty advisors, and outside advisors. The project encompasses multiple professional disciplines and systems level considerations applied to a product, process, or service. Spread over many terms, the student earns a total of four credits of SYSE by working on an e-portfolio. The instructors will give more guidelines, but the e-portfolio is more than a journal that assesses classes.
It documents the student's reflection on personal and program learning objectives and the student's maturity as a system engineer using their own professional development as part of an educational system. Additional topics that span the entire product life cycle include interface management and control, risk management, tailoring of process to meet organizational and project environments, configuration management, test strategies and trade-off studies.
The student will develop an understanding of the larger context in which requirements for a system are developed, and learn about trade-offs between developing mission needs or market opportunities first versus assessing available technology first.
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Techniques for translating needs and priorities into an operational concept and then into specific functional and performance requirements will be presented. The student will assess and improve the usefulness of requirements, including such aspects as correctness, completeness, consistency, measurability, testability, and clarity of documentation. Case studies, many involving software-intensive systems, will be used. Resource optimization is studied through mathematical programming. Emphasis is placed on applying linear programming, and goal programming to engineering management decisions.
Problem formulation, mathematical model building, basic principles behind the Simplex algorithm, and multiple objective linear optimization via goal programming are included in the course. Post-optimality analysis is studied from the viewpoint of technology management. The course includes a term project involving a real-life problem.
This course that introduces the student to the study of the dynamic behavior of continuous systems that contain feedback. Interaction on the Internet and email are used to assist students in carrying out various labs to reinforce the primary concepts. Students can take the course entirely remotely. Discrete system simulation DSS models characterize systems as flows of entities that traverse the system based on logic predicated on sampling from probability functions.
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The results are used compute statistical measures of performance for the system under study. DSS is used extensively in the fields of operations research, civil engineering, industrial engineering, systems analysis, etc. Students learn how to use DSS to study problems in their respective fields of interest. Systems Engineering is an acquired behavior to be developed throughout the Masters degree program. Students and faculty advisors will engage in creative workshop activities integrating technical specialty skills and project experience invoking systems engineering applications of communication, synthesis and creativity, team building, problem solving, management of time and resources, and system life-cycle thinking.
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A student portfolio will document the program plan and document that the desired behavioral change is taking place. The student will work on a project potentially in their area of domain knowledge and potentially for their current employer, but the project will also encompass: a systems thinking, b a systematic approach, c identification of customer and stakeholder needs, d requirements management, d validation and verification, e formal interface management f assessment of results. Students and instructor pick a topic of mutual interest related to systems engineering.
Students read articles and books related to the topic as guided by the instructor, and summarize their findings with feedback from the instructor. The student registers for this type of course by first conferring with the instructor and then submitting a By-Arrangement form. Sometimes we use as a replacement for a scheduled course, such as , if the latter is not being offered. Special topics is a regularly scheduled course with multiple students and lecture material , HW assignment, and tests.
The topics will be similar from one term to the next offering. After three terms of offering it, either the course gets it's own number, eg , or is not taught again -- depending on student interest. Past offerings were intended for military students but open to all who were interested. Future 's will act as prototype courses appealing to military, non-military, or both, and covering topics not normally offered as a scheduled course.
Examples of special topics might include: systems architecture, whole system modeling, where these topics are determined by the needs of a group of students or by advances in the profession. Synthesis of the knowledge that covers the background, understanding, and challenges of contemporary issues related to deterrence in the context of detection, retribution, disarmament, security, nonproliferation, or arms control.
From a systems perspective, models of deterrence are researched, assessed for applicability, evaluated in terms of quantifiable measures of performance and measures of effectiveness, and then discussed. Instructor's Syllabus for this Topics course. Systems engineering is the integration of several engineering fields into an efficient and effective process for the overall technical management of programs and development of systems and products.
Students will gain detailed knowledge in management techniques applicable to activities within Systems Engineering, including trade-off studies, technical performance measurement, cost-effective process tailoring, technical reviews and audits, and others. Linked requirements maintain a revision history enabling you to perform impact analysis and communicate important changes to downstream teams.
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Link system requirements to architecture models to establish requirements traceability and perform requirement coverage analysis or impact analysis. Create custom views to manage architectural complexity and communicate with various stakeholders. You can use stereotypes to extend your architecture models with domain-specific design data such as size, weight, power, or cost. Related stereotypes can be grouped into profiles that can be applied throughout your architecture or reused in other architectures.
To manage architectural complexity, you can create custom views to isolate components of interest for various stakeholders or to facilitate specific analysis activities.
Examples include:. Directly link architecture components to Simulink models to define behaviors using Model-Based Design , which is the systematic use of models throughout your development process. Following a top-down workflow, Simulink models can be automatically generated from architectural components. Conversely, you can create an architecture component directly from a Simulink component model.
Linking architecture models with Simulink behavior models ensures that your architecture and implementation models stay synchronized and allows you to simulate system behavior. With simulation, you can explore architectures, prototype components, and create component specifications, all while understanding and refining system behaviors early in the development process.
To scale this for large and complex systems, you can automate verification using test suites to validate requirements and iteratively verify system behaviors throughout the model-based system engineering process. You can specify system level tests to check the consistency and correctness of requirements that can be used by downstream implementation teams. You can translate requirements with complex, timing-dependent signal logic into assessments with clear, defined semantics that can be used to debug designs and identify inconsistent requirements.
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