BMGT831

Operations Research: Extension of Linear Programming and Network Analysis

Reviews for this courseTestudo

Prerequisite: BMGT830; 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 network and graph theory in linear and combinatorial models with emphasis on computational algorithms.

Past Semesters

Bruce Golden

1 review
Average rating: 5.00

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 3.50 between 76 students*

BMGT831 Grade Distribution+-0510152025303540455055% of studentsABCDFWother
A-: 18.42%
A: 21.05%
A+: 13.16%
B-: 9.21%
B: 10.53%
B+: 18.42%
W: 1.32%
other: 7.89%
* "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.