TIM207: Random Process Models in Engineering

A first graduate course in stochastic process modeling and analysis with an emphasis on applications in technology management, information systems design, and engineering. Enrollment restricted to graduate students. Prerequisite: Computer Engineering 107 or other undergraduate probability course recommended.

5 credits

Year	Fall	Winter	Spring	Summer

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