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Curriculum
To fulfill the requirements for a Ph.D. degree, students with an M.S. degree must successfully earn a minimum of 60 credit hours, with a maximum of 18 course credits and a minimum of 42 dissertation hours. The anticipated completion time for the program is four to five years. In addition, students must pass three examinations: a) Qualifying Examination, b) Preliminary Dissertation Examination, and c) Dissertation Oral Examination, as described in the LTU Ph.D. Policies and Procedures. Students admitted to the program are defined as “Ph.D. Students” until they pass the Qualifying Examination, at which time they are considered “Ph.D. Candidates.”
Students with a B.S. degree must successfully earn a minimum of 69 credit hours, with a maximum of 27 course credits and a minimum of 42 dissertation hours. The anticipated completion time for the program is four to five years. In addition, students must pass three examinations: a) Qualifying Examination, b) Preliminary Dissertation Examination, and c) Dissertation Oral Examination, as described in the LTU Ph.D. Policies and Procedures. Students admitted to the program are defined as “Ph.D. Students” until they pass the Qualifying Examination, at which time they are considered “Ph.D. Candidates.”
The student is expected to complete the degree within seven years of matriculating into a Ph.D. program unless a specific extension has been recommended by the department chair and approved by the Provost/CAO.
Credit Transfer Policy
LTU allows a maximum transfer of six credits of qualified graduate-level coursework (beyond the M.S. degree) from other institutions. Transferred courses must have been completed within the past five years and received a grade of B or higher. Applicants transferring from other institutions with special circumstances will be evaluated on a case-by-case basis.
Research Specialization
The Doctor of Philosophy in Electrical and Computer Engineering degree will prepare its students in the following primary doctoral research areas:
- Intelligent Transportation Systems
- Smart Grid Power Line Communications
- Artificial Intelligence • Intelligent Systems
- Medical Robotics
- Wireless Communication, Vehicle Communication Network, Sensor Networks
- Speech Enhancement Techniques
- Internet of Things
- Digital Signal Processing
- Embedded System and Software
- Non-Destructive Optical Detection, Ultrasound Generation and imaging, Photoacoustic Imaging and Sensing
- Augmented reality
Depending on the specialization selected, each student is assigned to an Advisor who will guide and advise the student throughout the process.