BMGT830

Operations Research: Linear Programming

Reviews for this courseTestudo

Prerequisite: MATH240; or students who have taken courses with comparable content may contact the department; or permission of BMGT-Robert H. Smith School of Business. Concepts and applications of linear programming models, theoretical development of the simplex algorithm, and primal-dual problems and theory.

Past Semesters

Raghu Raghavan

0 reviews
Average rating: N/A

Raghu Raghavan

0 reviews
Average rating: N/A

Raghu Raghavan

0 reviews
Average rating: N/A

Raghu Raghavan

0 reviews
Average rating: N/A

Michael Fu

0 reviews
Average rating: N/A

Subramanian Raghavan

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 3.48 between 122 students*

BMGT830 Grade Distribution+-051015202530354045505560% of studentsABCDFWother
A-: 25.41%
A: 13.11%
A+: 18.85%
B-: 5.74%
B: 14.75%
B+: 18.03%
C+: 1.64%
W: 1.64%
other: 0.82%
* "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.