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.
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.
Graduate School
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