College of the Extended University

Curriculum

The MSSE program consists of 45 quarter units, and takes approximately two years to complete.

Graduation Writing Test (GWT) Information:

All persons who receive undergraduate, graduate, or external degrees from Cal Poly Pomona must pass the Graduation Writing Test (GWT).  If you are unable to pass the test after two attempts, you may apply to enroll in CPU401, a class in which your writing is assessed on a portfolio basis. Students enrolling in CPU401 will be charged the state graduate level tuition fees for this course.  Please visit the links below for more detailed information.

State Tuition Fee Information for CPU401

Graduation Writing Test (GWT) & CPU 401 Information

Comprehensive survey, classification, & evaluation of the multiple domains of systems science and their literatures. History of development & need for unification of systems science domains and formulation of a “science” of systems for use in systems engineering. Comprehensive introduction to key systems processes and their interactions. Case studies of application of systems science to specific systems engineering task areas, management, architectures, modeling and testing using online assignments.

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Engineering economic decision criteria and models for evaluating capital investment proposals and engineering project. Replacement studies, risk and uncertainty, tax effects, intangibles, probabilistic models, computer techniques. Four (4) lecture/problems.

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This course views the system engineering process form both technical and management aspects. It investigates the interrelationship between the system engineering and project management as they work together at the project team level. It also, provides a top-down view for engineers to follow and be able to streamline the system engineering process and reduce costs.

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IME 513: Systems Engineering Life Cycle Design (3) The role of systems engineering processes in the life cycle design, development, validation, production, operation and disposal of new products. “Systems thinking” and philosophy are emphasized throughout the course. Student team projects and presentations to create a System Engineering Management Plan (SEMP) for a new product. Needs analysis; requirements analysis, consideration of social, economic and environmental factors, configuration control, system architecture design process, architecture and sub-system trade studies, risk and opportunity management, project scheduling and tracking. Program planning and control, engineering documentation and configuration management

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This course introduces system planning process and practice in case of emergency / disaster. The goal is to analyze systems for identifying elements of prevention, planning, response and recovery in a total system. The interaction and cooperation of government agencies in case of an emergency will be reviewed. Also, the relationship of emergency planning to the field of disaster management as well as the Basics of incident management systems and emergency operations will be explained.

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Industrial ecology (IE) focuses on impacts to the natural world from the massive expansion in the rate and scale of human transformation of the earth following the industrial revolution. Concepts and tools trace the impacts of industrial and service operations on natural ecosystems, humans and natural resources. Industrial ecology views these impacts as resulting from the interaction of underlying complex technological, social, economic and legal systems. IE is a heavily interdisciplinary field involving science and technology (engineering), public policy, economics and business operations.

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The objective of this course is to provide a broad coverage of facilities system management topics, including issues such as quality function deployment, concurrent engineering, group technology, ERP, bar coding, RFID etc. Problem applications in industry and business will be discussed.

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Introduction to the U.S. and global healthcare industry as a system surveying its key components, their major interactions and applying principles, practices, and tools of systems engineering to improve key measures such as design, testing, and evaluation of services provided, reducing costs, and increasing efficiency. Use of systems processes and modeling/simulation for forecasting alternative scenarios.

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Methods and research techniques in engineering design of optimum man-machine systems. Designing systems with the objective of developing optimum combinations of physical and human components. Effects of environment on human performance.

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Application of optimization techniques to the problems encountered in industry and business. Linear programming and sensitivity analysis. Transportation techniques. Linear integer and goal programming. Problem formulation and software applications. Analysis and report writing skills. The nature of information flow from other sources to each technique, and from each technique to their application.

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Different types of simulation and their role in analysis of system problems. Defining study objectives for a problem encountered in industry and business. Deciding on a suitable simulation tool, creating model, verification and validation of the model, and improving the system software applications. Analysis and report writing skills. The nature of information flow from other sources to each technique, and from each technique to their application.

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Terminal requirement for MS in System Engineering program. In this course student teams or individual student apply the techniques and methods taught throughout the system engineering program in the conceptual design of a complex system based on the requirement provided in a Requested Proposal.

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Operations analysis of integrated production systems; mathematical and computer models for planning, scheduling, and control of production and service systems. Statistical techniques for forecasting, optimization of resources utilization.

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Familiarize students with applying architectural modeling concepts to manage large, complex system development projects that require multiple engineering disciplines. Students understand & demonstrate knowledge of inherent relationships between system requirements, operational need, functional capabilities, and physical system design trades. Familiarization with Model Based System Engineering tools including CORE architecture tool and LMS AMESim sub-system simulation and modeling tool enable student team projects that produce a system architectural model and sub-system models that can be used for system design and optimization re-used and enhanced in cross-discipline engineering courses.

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