पाठ्यक्रम परिवर्तनशीलता

पाठ्यक्रमबारे सारश

Ph.D. program in systems engineering has two major components: systems concepts and discipline-specific options. The courses in the first component provide the necessary knowledge to apply a systems approach to problem solving. The systems concepts required for the analysis and design of continuous systems are different from those required of discrete systems. Therefore, two tracks of courses have been identified to address the systems approach to these two different classes of systems. Once the systems approach to problem solving has been established, a student will study several specific depth areas which relate to his/her research interest. These courses provide the discipline-specific component of the Ph.D. program. The student will concentrate on at least two of these areas, the selection of which will be the concerted effort of the student and the advisory committee. Although a student is expected to specialize in either continuous systems or discrete systems, he/she may select courses from other areas as deemed appropriate. Discrete Systems- Manufacturing Systems, Industrial Systems, Product Systems, Quality Control, Computer Communications, Computer Integrated Manufacturing, Artificial Intelligence, Flexible Manufacturing Systems, Software Engineering, Graphics and CAD/CAM, Theory of Computing Systems, Computer Hardware Design, Microprocessor Systems, Software Systems, Parallel Processing, Pattern Recognition, Data Mining, Computer Vision, Multimedia Systems. For example, a student interested in robotics would be required to take the continuous systems track and may elect the following three discipline-specific options: robotics, dynamic systems and microprocessors. These three options not only cross the boundaries of the two classes of systems but also include courses from all three departments within the School of Engineering and Computer Science, yet they form a cohesive and intensive research program. This multidisciplinary approach is one of the unique features of the systems engineering Ph.D. program at Oakland University. The requirement for the Ph.D. is completion of a unified program of formal coursework, as specified above, and independent research, directed and approved by the advisory committee. While the courses and examinations for a particular student are specified by the advisory committee, all programs are subject to the following general regulations.

कार्यक्रमका खाकाहरू

Discrete Systems (12 credits) Courses: SYS 569 Computer Simulation in Engineering or ISE 569 Computer Simulation of Discrete Event Systems; APM 563 Discrete Mathematics I; APM 564 Discrete Mathematics II or APM 581 Theory of Computation.

अन्तर्राष्ट्रिय विद्यार्थीहरू प्रवेशको लागि आवश्यकता

The Ph.D. programs are designed for students with academic backgrounds in engineering and computing. Students with backgrounds in mathematics or the physical sciences may also be admitted to the programs, but they will be required to build up basic engineering/computing knowledge through relevant coursework. Normally a master’s degree from an accredited institution is required for admission; however, students with outstanding undergraduate records may apply directly for admission to the doctoral programs. Admission is highly selective; applicants should present transcripts of all previous academic work and recommendations from three faculty members of their most recent study program who can evaluate their scholarly achievement and potential. Applicants must submit scores from the Graduate Record Examination (GRE) if they graduated from an institution not accredited by a regional accrediting agency. The Test of English as a Foreign Language (TOEFL) must be submitted by applicants who are graduates of programs taught in a language other than English.

योग्यता

विद्यावारिधि उपाधि

प्रदान गर्ने निकाय

Oakland University

विभागको नाम

School of Engineering and Computer Science, Department of Mechanical Engineering