Nov 18, 2019  
2003-2004 Graduate Catalog 
    
2003-2004 Graduate Catalog [ARCHIVED CATALOG]


Computer Engineering



Return to {$returnto_text} Return to: Graduate Degree Programs

Contact the department on the World Wide Web home page at http://www.eece.maine.edu.

The Electrical and Computer Engineering Department offers the Master of Science degrees in Electrical or Computer Engineering and the Ph.D. degree in Electrical Engineering. Thesis and non-thesis options are available for the M.S. degrees for both Electrical and Computer Engineering. For a non-thesis degree, a minimum of 30 semester hours of course work is required. Thesis options require 30 credit hours of which six credits of ECE 699 shall be devoted to individual study with a member of the graduate faculty. This work must culminate in the preparation of a written thesis on a significant problem of common interest and an oral defense of the thesis. To obtain a M.S. degree in Electrical or Computer Engineering, a student must have at least a GPA of 3.0 for all courses taken as a graduate student.

In order for a student to become a candidate for a Master of Science degree in Electrical Engineering, he/she must either have completed a Bachelor of Science degree in Electrical Engineering or at least demonstrated its equivalent. In order to demonstrate the equivalent of a Bachelor of Science in Electrical Engineering degree, the student must show high scholastic competency in all the required undergraduate Electrical Engineering courses. This may be done by actually enrolling in the undergraduate Electrical Engineering courses or by passing an equivalency examination which covers the material appropriate to the undergraduate Electrical Engineering course. A set of four core courses in Linear Systems Analysis (ECE 512), Electromagnetic Theory (ECE 550), Random Variable and Stochastic Processes (ECE 515), and Solid State Electronics (ECE 565) are offered on a rotating basis. Students are expected to complete at least three of these four courses. In addition to taking standard Electrical Engineering graduate courses, students may also enroll in state-of-the-art courses which cover areas such as artificial neural networks, robotics, advanced microprocessors, microwave acoustics, integrated optics, surface acoustic wave devices, sensors, VLSI design, computer vision, and localized networks. Normally no more than 6 credits of ECE 400 level course work will be acceptable for graduate credit. In addition, no more than one ECE 599 and two ECE 598 courses may be taken toward fulfilling the requirements for a Master of Science degree in Electrical Engineering. Degree candidates may also choose to take courses in Mathematics, Physics, Chemistry, Computer Science and other disciplines which are consistent with his/her program goals.

In order for a student to become a candidate for a Master of Science degree in Computer Engineering, he/she must either have completed a Bachelor of Science degree in Computer Engineering or at least demonstrated its equivalent. In order to demonstrate the equivalent of a Bachelor of Science in Computer Engineering degree, the student must show high scholastic competency in all the required undergraduate Computer Engineering courses. This may be done by actually enrolling in the undergraduate Electrical Engineering or Computer Science courses or by passing an equivalency examination which covers the material appropriate to the undergraduate Computer Engineering course. For example, a student with an undergraduate degree in Computer Science might be required to complete ECE 471 and ECE 275 as part of the Graduate program of study (or demonstrate the equivalent). Similarly, a student with an undergraduate degree in Electrical Engineering would be required to complete ECE 471, ECE 275, COS 420 and COS 431. A set of four core courses in Advanced Microprocessor Based Design (ECE 571), Microprogramming (ECE 573), Linear Systems Analysis (ECE 512), and Software Engineering (COS 520) are offered on a rotating basis. Students are expected to complete at least three of these four courses. All students must complete at least one graduate-level (500 or above) course in Computer Science. In addition to the core curriculum, students may enroll in state-of-the-art courses offered by the Electrical Engineering and Computer Science graduate programs. Normally no more than 6 credits of ECE or COS 400 level course work will be acceptable for graduate credit. In addition, no more than one ECE 599 and two ECE 598 courses may be taken toward fulfilling the requirements for a Master of Science degree in Computer Engineering. Degree candidates may also choose to take courses in Mathematics, Physics, Chemistry and other disciplines which are consistent with his/her program goals.

Ph.D. candidates are required to pass a qualifying exam on Electrical Engineering fundamentals, and complete a comprehensive exam in the student’s area of research. The Ph.D. candidate must complete a program of study which has obtained the approval of the student’s advisory committee and the Graduate Coordinator of the department. The preparation and defense of a thesis embodying the results of an original investigation in a specialized area of Electrical Engineering are essential features of the program.

Graduate Faculty

James P. Patton, Ph.D. (University of Tennessee, 1991), Associate Professor and Chair. Power engineering, power electronics and drives.

Richard O. Eason, Ph.D. (Tennessee, 1988), Asso-ciate Professor. Robotics and Computer Vision.

John C. Field, Ph.D. (Northeastern, 1969), Professor. Microprocessor applications.

Duane Hanselman, Ph.D. (Illinois, 1985), Associate Professor. Design and control of motors, control theory and design.

Donald M. Hummels, Ph.D. (Purdue, 1987), Asso-ciate Professor. Communications, signal processing and pattern recognition.

David Kotecki, Ph.D. (University of California-Davis, 1988), Associate Professor. Microelectronics, electronic materials, computer modeling and simulation.

Mohamad T. Musavi, Ph.D. (Michigan, 1983), Professor. Artificial Neural Networks, computer vision. Instrumentation, neural networks and computer interfacing.

Habtom Ressom, Ph.D. (University of Kaisers-lautern, Germany, 1999), Assistant Professor. Neural Networks, Virtual Sensing.

Bruce E. Segee, Ph.D. (University of New Hampshire, 1992), Associate Professor of Electrical and Computer Engineering.

John F. Vetelino, Ph.D. (Rhode Island, 1969), Professor. Surface acoustic wave devices and applications, microsensors, sonar signal processing, solid state.

Return to {$returnto_text} Return to: Graduate Degree Programs