Computational Sciences - Certificate
The Institute for Scientific Computation developed the Computational Sciences Certificate Program to meet the increased need for computational techniques that help solve complex science and engineering problems. This program targets science and engineering students enrolled in graduate studies, providing them with a broad-based multidisciplinary enhancement to their degree program and preparing them with the intellectual infrastructure necessary as a leader in computational science, engineering, and technology. By completing this certification program, a graduate will receive an official certified transcript that will add value and marketability to their advanced degree. The Computational Sciences Certificate Program provides formal documentation on a student’s transcript that they successfully completed courses focused on computational aspects that supplement their degree in science or engineering. To fulfill the certification requirements, a student must complete four total courses (one core and three electives), as described by the program curriculum, and a capstone project within their home department. For more information, visit http://isc.tamu.edu/.
Code | Title | Semester Credit Hours |
---|---|---|
Core Courses | 3 | |
Select one of the following | ||
Numerical Analysis | ||
Topics in Statistical Computations | ||
Parallel/Distributed Numerical Algorithms and Applications 1 | ||
Elective Courses | 9 | |
Select three of the following, one of which must be exclusive of the student's home department 2 | ||
Computational Fluid Dynamics for Aerospace Applications | ||
Database Systems and Applications | ||
Compiler Design | ||
Parallel Algorithm Design and Analysis | ||
Supercomputing | ||
Advanced Computation Methods for Fluid Flow | ||
Computational Fluid Dynamics | ||
Geophysical Inverse Theory | ||
Numerical Methods in Partial Differential Equations | ||
Computational Algebraic Geometry | ||
Mathematical Theory of Finite Element Methods | ||
Finite Element Methods in Scientific Computing | ||
Introduction to Finite Element Method | ||
Multiphysics Computations in Nuclear Science and Engineering | ||
Numerical Methods for the Geosciences | ||
Advanced Numerical Methods for Reservoir Simulation | ||
Advanced Statistical Computations | ||
Regression Analysis | ||
Methods in Time Series Analysis | ||
Applied Multivariate Analysis and Statistical Learning | ||
Computational Geometry | ||
Computational Linear Algebra | ||
Other | ||
Capstone Project 3 | ||
Total Semester Credit Hours | 12 |
1 | |
2 | With approval by the director of the Institute for Scientific Computation (ISC), student may substitute a course outside those listed as elective options. In such situations, the student must justify the substitution to and seek approval from the ISC's director prior to enrolling in the course. The director will include their support for the substitution in a memorandum to the Office of Graduate Studies (OGS) after the student files their degree plan with OGS and copies of these documents with the ISC. |
3 | The capstone project's goal is to provide students with experience in the computational sciences. The capstone project may be fulfilled by:
To fulfill this requirement, the ISC's associate director or director must approve the capstone project, certify its computational component, and document its completion. |