AMSC715

Numerical Methods for Evolution Partial Differential Equations

Prerequisite: Permission of instructor; or one graduate level course in partial differential equations or one graduate level course in numerical analysis or scientific computing. Credit only granted for: AMSC612 or AMSC715. Formerly: AMSC612. Additional information: This course continues AMSC 714, but can be taken independently, and is a complement to the graduate courses MATH 673 and MATH 674 in PDEs, AMSC 666 in numerical analysis, and AMSC 660 and AMSC 661 in scientific computing. Topics include: Heat and wave equations: maximum principle, energy methods and Sobolev spaces, finite difference and finite element methods, von Neumann analysis, stability and error estimates;Linear first order PDEs: upwinding and monotone schemes, finite difference, finite volume, and discontinuous Galerkin methods; Nonlinear conservation laws: weak solutions and entropy conditions,monotone methods.

Fall 2025

0 reviews
Average rating: N/A

Past Semesters

0 reviews
Average rating: N/A

0 reviews
Average rating: N/A

0 reviews
Average rating: N/A

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 3.75 between 55 students*

AMSC715 Grade Distribution+-051015202530354045505560657075% of studentsABCDFWother
A-: 10.91%
A: 30.91%
A+: 30.91%
B-: 1.82%
B+: 7.27%
C: 1.82%
W: 1.82%
other: 14.55%
* "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.