Feb 24, 2020  
2016-2017 Graduate Catalog 
2016-2017 Graduate Catalog Archived Catalog

Computitional Science: Computational Engineering, Ph.D.

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PhD: Computational Science: Computational Engineering

Dr. James Newman, Coordinator

(423) 425-5489 or email at James-Newman@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.  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.  A complete listing of Computational Engineering courses may be found in the Graduate Catalog (http://www.utc.edu/graduate-school).

Sample Program of Study

For a student entering the program with a B.S in engineering with the goal of completing the PhD., a sample curriculum might include the following courses with a M.S. degree earned along the way:


Semester III (Summer)

Semester IX (Summer)

Semester X (Fall)


What is shown here is an aggressive schedule and is mainly intended to list the required coursework and the sequence in which it might be completed. As with all research-based academic programs, it is typically the research that governs the length of time needed to complete degree requirements. In the above sample program of study, the required mathematics and computer science courses for the Computational Science Ph.D. are obtained during the M.S. degree.

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