Applied Probability and Stochastic Processes

4 cr · Undergraduate

(Lab required) Probability theory and stochastic processes are heavily used in many engineering disciplines, such as risk assessment, data networks, operations research, information/communication theory, control theory, quantum theory. This course introduces probabilistic modeling, including random processes and the basic elements of statistical inference, as well as relevant models, skills, and tools that are key to analyzing data and making scientifically sound predictions under uncertainty. May not be held with ECE 4860 when titled "Stochastic Processes."