Master of Science in Computer
Engineering (M.S.C.E.)
Admission Requirements
A student lacking undergraduate prerequisites for graduate courses
in electrical engineering and computer science must complete
these prerequisites or receive approval from the graduate adviser
and the
course instructor. A diagnostic exam may be required. Specific
admission requirements follow.
The student entering the M.S.C.E. program should meet the following
guidelines:
- an undergraduate preparation equivalent to a baccalaureate in
computer science or electrical engineering from an accredited
engineering program,
- a grade point average in upper-division quantitative course
work of 3.0 or better on a 4-point scale, and
- GRE examination scores of 500, 700 and 600 for the verbal,
quantitative and analytical components respectively,
or 1800 for the total score
is advisable based on our experience with student success
in the program. Applicants must submit three letters of recommendation
from individuals
able to judge the candidate's probability of success
in pursuing
master's study.
Applicants must also submit an essay outlining the candidate's background,
education and professional goals.
Students from other engineering disciplines or from other science
and math areas may be considered for admission to the program on a
case-by-case basis; however, some additional course work may be necessary
before starting the master's program.
Degree Requirements
The M.S.C.E. requires a minimum of 33 semester hours.
All students must have an academic adviser and an approved degree
plan. Courses taken without adviser approval will not count toward
the 33 semester-hour requirement. Successful completion of the approved
course of studies leads to the M.S.C.E. degree.
The M.S.C.E. program has both a thesis and a non-thesis option. All
part-time M.S.C.E. students will be assigned initially to the non-thesis
option. Those wishing to elect the thesis option may do so by obtaining
the approval of a faculty thesis supervisor.
All full-time, supported students are required to participate in the
thesis option. The thesis option requires six semester hours of research,
a written thesis submitted to the graduate school, and a formal public
defense of the thesis. The supervising committee administers this defense
and is chosen in consultation with the student's thesis adviser prior
to enrolling for thesis credit.
Each student must take 4 required courses: Microprocessor Systems
(CE 6302), Computer Architecture (CE 6304), VLSI Design (CE 6325) and
Advanced Operating Systems (CE 6378). Required courses must be passed
with a grade of B or better.
Approved electives must be taken to make a total of 33 hours. These
courses must be at 6000 level or higher from computer engineering,
electrical engineering, computer science and telecommunications engineering
curricula with the approval of the advisor. It is highly recommended
that two of these electives be chosen from the following list:
CE 6303 Testing and Testable Design
CE 6305 Computer Arithmetic
CE 6308 Real-Time Systems
CE 6352 Performance of Computer Systems and Networks***
CS 6353 Compiler Construction
CE 6370 Design and Analysis of Reconfigurable Systems
CE 6375 CAD Algorithms
CE 6380 Distributed Systems
CE 6397 Synthesis and Optimization of High Performance Systems
CE 6398 DSP Architectures
Research
The Jonsson School has broad capabilities in Information Technology
Infrastructure, focusing on telecommunications, computing, optical
and photonic devices, signal processing and circuits and devices. Additional
detail of some of the specific areas is included below.
The School has currently funded research program in the following
areas:
Communication and Signal Processing: Current research in this area
is focused on the design and analysis of systems where the objective
is to communicate between network users, signal transmission, signal
extraction and information processing. These techniques are currently
being applied to communication systems, biological and medical image
processing, radar, sonar, optical and seismic image processing.
Digital Systems, Circuits and
Systems: Our work in this area is varied including, computer architecture,
computer arithmetic, numerical algorithm
development, VLSI design, energy–efficient digital systems,
high level synthesis, reconfigurable systems, and special purpose
architectures,
in addition to high performance digital systems, analog integrated
circuits, CAD algorithms and physical design. Our product line
includes both design and physical hardware implementation for testing
and performance
assessment.
Optical and Photonic devices, Materials and Systems: The faculty are
involved in optical switching, and multiplexing, wavelength conversion,
optical amplifiers, wavelength division multiplexing, linear and non-linear
propagation in fibers, solitons, inverse scattering, diffractive optical
elements, optical characterization of semiconductor and optical materials,
and ultrafast lasers and semiconductor lasers.
Solid-State Devices and Circuits: The research program in the solid
state area is focused in the fabrication and characterization of novel
semi-conductor devices and optical materials. The research is enhance
by a 10,00 square foot lean room with substantial processing capability
including sub 0.25 micro lithography. We have recently added Micro,
Nano and Opto electro-Mechanical Systems (MEMS, NEMS, OEMS) processing
to our capability.