Graduate Integrated Engineering Courses
An interdisciplinary Ph.D. is offered with three specialty areas: materials processing; geotechnical and environmental; and intelligent systems.
Admission to the program is restricted to students who wish to study in one of the three specialties. An M.S. in engineering or a related field is required for admission. Further admissions information is available from the associate dean for research and graduate studies of the Russ College of Engineering and Technology.
A plan of study is developed on an individual basis by your advisor and a special committee. All plans of study must include a set of designated core courses (a list is available in the dean's office) and an appropriate research focus. The plan must include at least 15 credit hours from each of two departments in the Russ College of Engineering and Technology or 12 credit hours from each of three departments. A minimum of 23 hours of coursework must be at the 600 level or above, including 10 hours at the 700/800 level. A minimum of 90 credit hours above the M.S. (including 45 credit hours for the dissertation) is required. The plan must be approved by your dissertation advisory committee and the integrated engineering steering committee.
You must satisfactorily complete a qualifying examination near the beginning of the program and a comprehensive examination after completing the coursework. The comprehensive examination measures knowledge and integration of the subjects necessary to successfully complete the dissertation. The examination consists of a general exam, which tests knowledge of the core, and an area exam, which tests knowledge in your chosen specialty. To successfully complete the general exam, you must achieve a passing score in four of the six core course areas: finite elements, computer-aided design, expert systems, materials, system theory, and quality systems. Following completion of the general exam, the area exam demonstrates knowledge in one of the three specialty areas (geotechnical and environmental, materials processing, or intelligent systems).
University Publications and Computer Services revised this file (https://www.ohio.edu/~gcat/01-03/areas/ined.htm) October 2, 2001.
Please e-mail comments or suggestions to "gcat@www.ohiou.edu."