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David Mudgett is a Faculty Emeritus at Penn State University College of Information Sciences and Technology. He has extensive experience in academia, having taught courses in electrical engineering and applied mathematics. He completed his doctoral studies focused on control systems and signal processing. Mudgett's professional background includes significant work with Chrysler Corporation in operations research and supply chain management. His research interests lie in adaptive job scheduling, load balancing algorithms in multiprocessor systems, and the application of systems analysis and control in comprehensively modeling large-scale systems that are loosely structured and imprecisely defined. Throughout his career, he has taught various subjects, including programming languages, system design, analog and digital control systems, and optimal control theory. Mudgett is committed to advancing knowledge in the fields of computer science and human systems, emphasizing practical applications of theoretical concepts throughout his teaching.
GRE scores are highly recommended but not strictly required for Applied Linguistics.