Analyzing and Modeling Uncertainty

Randomness or uncertainty is an essential phenomenon in the modern business world. Probability theory provides the foundation for understanding and analyzing real-world situations and problems involving uncertainty. This course is designed to acquaint students with basic probability concepts, methods, and models. Particular emphasis is given to widely applicable probability models (stochastic processes) such as discrete-time Markov chains and Poisson processes. Applications are drawn from various areas in business, economics, science, and technology.

Instructor Biography – Hao Zhang

Course Outline – Class of 2018 (Updated September 6, 2017)

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