Graduate StudyMinor in Scientific Computing
The minor in scientific computing offers a substantive programming and algorithmic knowledge base to science students. The minor certifies that a student has the programming and algorithmic skills to develop codes to solve modern engineering problems. Additionally, students gain a better understanding of the algorithms used in packaged software and their limitations so that using packaged software can be done in a judicious way without blindly accepting package output.
The required course for the scientific computing minor is ESAM 446-1. This course teaches the fundamentals of numerically solving partial differential equations that arise in science and engineering.
Elective courses cover specialized numerical methods and core computing skills for modern high-performance computing architectures.
Please select two of the following courses:
- ES_APPM 444-0: High-Performance Scientific Computing
- ES_APPM 445-0: Iterative Methods for Elliptic Equations
- ES_APPM 446-2: Numerical Solution of Partial Differential Equations
- ES_APPM 447-0: Boundary Integral Methods
- ES_APPM 448-0: Numerical Methods for Random Processes
- ES_APPM 449-0: Numerical Methods for Moving Interfaces