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Course Criteria
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0.00 - 9.00 Credits
This course covers axioms of probability, continuous and discrete distributions used in engineering, sampling distributions, expectation, conditional probability, central limit theorem, and introduction to Poisson Processes.
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0.00 - 9.00 Credits
This course introduces engineering principles and methods used for system reliability, maintainability and risk assessment and mitigation. Accelerated testing, FMEA, system safety, and sustainability are introduced.
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0.00 - 9.00 Credits
This course focuses on how system engineering principles are applied to modern technological and infrastructure systems. Defense, space, communication, energy, transportation, aerospace and manufacturing systems are analyzed. Other topics include architecture descriptions, heuristic problem solving, sociotechnical issues and managing complexity.
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0.00 - 9.00 Credits
In this course students will study the relationship between humans and the systems they interact with. Students will study human physical and psychological strengths and weaknesses as well as organizational and political issues that influence the effectiveness of Human Machine interactions.
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0.00 - 9.00 Credits
This course focuses on management of large, complex programs and management in technologically intense environments. Concurrent engineering, project management, integrated product development, R&D, measuring and controlling the work, and managing risk will be covered.
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0.00 - 9.00 Credits
This course focuses on deterministic methods of operations research and their applications. Constructing models, employing modern modeling languages, and understanding general solution strategies are emphasized. Applications include inventory & production planning, transportation & logistics, and project management.
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0.00 - 9.00 Credits
This course covers point and interval estimation, hypothesis testing, analysis of variance, and introduction to regression analysis, with applications to engineering problems.
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0.00 - 9.00 Credits
This course emphasizes application of engineering principles for improving the quality of processes, products and services. Topics include data collection, analysis and presentation, measurement systems, and process control and capability. Other topics include quality standards, procurement and robust design.
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0.00 - 9.00 Credits
An analysis of decision making in the current production environment and the tools and optimization models needed for finding solutions to problems relating to production planning and scheduling, inventory, and warehouse design.
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0.00 - 9.00 Credits
An analysis of decision making in the current logistics environment and the tools and optimization models needed for finding solutions to problems relating to supply chain design and strategy, transportation, and warehouse management.
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