BMGT834

Operations Research: Probabilistic Models

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Prerequisite: MATH241; and (STAT400; or students who have taken courses with comparable content may contact the department). Or permission of BMGT-Robert H. Smith School of Business. Theoretical foundations for the construction, optimization, and applications of probabilistic models. Queueing theory, inventory theory, Markov processes, renewal theory, and stochastic linear programming.

Fall 2025

Michael Fu

0 reviews
Average rating: N/A

Past Semesters

Ilya Ryzhov

0 reviews
Average rating: N/A

Michael Fu

0 reviews
Average rating: N/A

Ilya Ryzhov

0 reviews
Average rating: N/A

Ilya Ryzhov

0 reviews
Average rating: N/A

Michael Fu

0 reviews
Average rating: N/A

Ilya Ryzhov

0 reviews
Average rating: N/A

During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 3.43 between 107 students*

BMGT834 Grade Distribution+-05101520253035404550% of studentsABCDFWother
A-: 14.02%
A: 27.1%
A+: 4.67%
B-: 13.08%
B: 17.76%
B+: 12.15%
W: 0.93%
other: 10.28%
* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.