MATH498T

Selected Topics in Mathematics; Linear Optimization

Reviews for this courseTestudo

Prerequisites: MATH240, MATH401, or MATH461. Linear programming formulation, graphical solution, simplex method, Big-M method, Duality, transportation problem, assignment problem and Game theory.

Sister Courses: MATH498, MATH498E, MATH498K, MATH498L, MATH498R

Past Semesters

Archana Khurana

4 reviews
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 3.57 between 15 students*

MATH498T Grade Distribution+-051015202530354045505560% of studentsABCDFWother
A-: 13.33%
A: 26.67%
A+: 20%
B: 6.67%
B+: 20%
C-: 6.67%
other: 6.67%
* "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.