Ph.D. Program

We take the time to customize your curriculum by tailoring the course offerings to match your computational experience, foundation and future career goals. Actual programs of study are strongly influenced by each student's focus of research and background in the three areas of emphasis: high-performance computing, numerical mathematics and the engineering application area. Each program of study is customized to the needs of the individual student and is finalized with the assistance of the CME coordinator, the student's major professor and the student's graduate committee.

Please see the graduate catalog for additional details on total credit requirement for the Doctor of Philosophy in Computational Engineering program.

Sample Programs of Study

The following programs of study are only for illustration purposes and show typical distribution of coursework in three areas of emphasis. These are not required coursework and can change depending on the background and focus of research of an individual student. Please note that online availability of courses depends on multiple factors and can vary each year.

Ph.D. - Regular Admission

Course Credits Title Notes
M.A. 8203 3 Foundations of Applied Mathematics I Numerical math
M.A. 8213 3 Foundations of Applied Mathematics II Numerical math
M.A. 8463 3 Numerical Linear Algebra Numerical math
CSE 6753 3 Foundations in Computation High-performance computing
CSE 6163 3 Designing Parallel Algorithms High-performance computing
CSE 6214 4 Software Engineering High-performance computing
IE 6773 3 System Simulation I Application area
IE 8773 3 System Simulation II Application area
CME 9000 25 Dissertation Research
 
Total: 50 credits Tailored to a student interested in Systems Engineering. Student already has a M.S. degree in Industrial Engineering.

Ph.D. - Direct Admission

Course Credits Title Notes
M.A. 8363 3 Numerical Solution of Systems of Nonlinear Equations Numerical math
M.A. 8443 3 Numerical Solution of Partial Differential Equations I Numerical math
M.A. 8453 3 Numerical Solution of Partial Differential Equations II Numerical math
M.A. 8383 3 Numerical Solution of Ordinary Differential Equations I Numerical math
M.A. 8393 3 Numerical Solution of Ordinary Differential Equations I Numerical math
CSE 6753 3 Foundations in Computation High-performance computing
CSE 6163 3 Designing Parallel Algorithms High-performance computing
CSE 6833 3 Introduction to Analysis of Algorithms High-performance computing
CSE 8833 3 Algorithms High-performance computing
CSE 6413 3 Principles of Computer Graphics Graphics and Visualization
CSE 8413 3 Visualization Graphics and Visualization
ECE 6413 3 Digital Signal Processing Graphics and Visualization
ECE 8443 3 Pattern Recognition Application area
ECE 8453 3 Intro to Wavelets Application area
ECE 8473 3 Digital Image Processing Application area
ECE 8483 3 Image and Video Coding Application area
CME 9000 24 Dissertation Research
 
Total: 72 credits Tailored to a student interested in image processing. Student admitted with only a BS degree in math, physics, or engineering.