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Course Criteria
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3.00 Credits
Introduction to artificial neural network architectures, adaline, madaline, back propagation, BAM, and Hopfield memory, counterpropagation networks, self organizing maps, adaptive resonance theory, are the topics covered. Students experiment with the use of artificial neural networks in engineering through semester projects. Prerequisite: Math 204 or 229. (Co-listed with El Eng 368)
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1.00 - 6.00 Credits
Problems or readings on specific subjects or projects in the department. Consent of instructor required.
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1.00 - 6.00 Credits
This course is designed to give the department an opportunity to test a new course. Variable title.
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3.00 Credits
Advanced topics of current interest in the field of data mining. This course involves reading seminal and state-of-the-art papers as well as conducting topical research projects including design, implementation, experimentation, analysis, and written and oral reporting components. Prerequisite: Comp Sci 301 Introduction to Data Mining. (Co-listed with Comp Sci 444 and Comp Eng 404)
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3.00 Credits
Techniques and methods for managing financial risk, including portfolio theory, Monte Carlo methods, ARIMA, time series forecasting, Value-at-Risk, stress testing, extreme value theory, GARCH and volatility estimation, random variables and probability distributions, real options, decision trees, utility theory, statistical decision techniques, and game theory. Prerequisite: Eng Mgt 137 or 308. (Co-listed with Eng Mgt 408)
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0.00 - 6.00 Credits
Discussion of current topics.
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3.00 Credits
The topics covered are Systems Engineering Management Plan (SEMP), Systems Engineering processes, process re-engineering, standards, and systems engineering case studies. Students will apply the skills and theory that they mastered in previous five core courses to the analysis of assigned cases. Prerequisites: Sys Eng 412 and 469.
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3.00 Credits
The course topics include issues specific to distributed project management, team development, resource management, constraint planning, development of Integrated Master Schedule and Integrated Master Plan, monitoring technical performance, schedule, cost, and risk. Prerequisite: Sys Eng 468.
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3.00 Credits
Methods of economic evaluation for engineering projects involving complex systems. Economic impacts on choosing system alternatives, life cycle costing, economic decisions involving risk and uncertainty, and engineering cost estimation for projects in government, defense, and commercial industries. Prerequisite: Sys Eng 368.
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3.00 Credits
Network-centric systems comprises a diverse category of complex systems with the primary purpose is providing network-type services. Network-centric systems are also known as collaborative systems. This course address the intersection between network engineering and the needs of systems architecting and engineering. Prerequisite: Sys Eng 469 or graduate standing. (Co-listed with Comp Eng 419)
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