Dr. Kidambi Sreenivas, Coordinator
(423) 425-5506 or email at Kidambi-Sreenivas@utc.edu
The purpose of the Computational Engineering concentration within the Computational Science PhD program is to prepare graduates to develop and apply advanced modeling and simulation technologies to real-world problems. It is designed for students holding a B.S. or M.S. degrees (or equivalent) in engineering, physical sciences, or mathematics. This concentration area encompasses engineering problem formulation, physical modeling, space-time discretization for complex geometries, numerical solution algorithms, high performance computing, and interpretation and application of results for engineering problem solving. The concentration has a strong focus on engineering analysis and design areas involving physical space-time field phenomena such as fluid mechanics, heat transfer, structural mechanics, and electromagnetics. Because the Computational Engineering concentration is highly project oriented, it is strongly recommended that all students entering be reasonably proficient in a high-level programming language. The course requirements are specified within the Computational Science Ph.D. description. The Computational Engineering concentration requires at least 12 semester hours in Computational Engineering or related courses approved by the student’s supervisory committee and in accordance with sound academic practices to provide a program of study that will support state-of-the-art advances in their doctoral research.
Course Requirements
A total of 72 semester hours beyond the Bachelor’s degree is required.
If the student has a Master’s degree, a credit of 24 semester hours is given, i.e., the student will need a total of 48 semester hours in order to complete the requirements of the Doctoral program
If the student is switching fields, additional coursework at the undergraduate and graduate levels could be required
A minimum of 24 semester hours are required in Doctoral Research and Dissertation. The research topic, as defined by the student’s advisor and approved by the dissertation examination committee, should be one where computations play an integral role.
6 semester hours in Computer Science must be selected from:
- CPSC 5210 – Design and Analysis of Computer Algorithms
- CPSC 5410 – Introduction to Parallel Algorithms
- CPSC 5260 – Model Analysis and Simulation
6 semester hours in Mathematics must be selected from:
If the Computer Science and Mathematics requirements are partially or fully met as part of the student’s Master’s degree program, the student’s supervisory committee can recommend additional courses based on the research area. However, the requirement of 24 semester hours of coursework still needs to be met.
An additional 12 semester hours of graduate coursework will be selected from the Engineering discipline that is related to the student’s dissertation topic.
A minimum of 6 semester hours of courses is required at the 7000 level. These are exclusive of thesis or dissertation credit. The student’s supervisory committee can approve a student’s petition to replace one 7000-level course with one or more 5000-level course(s) that are more appropriate.
A sample of the courses available under the Computational Engineering concentration is provided below:
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