2008–2009 - Florida Institute of Technology
2008–2009 - Florida Institute of Technology
2008–2009 - Florida Institute of Technology
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which it complements other courses and furnishes breadth and<br />
depth to the program. The work should consist <strong>of</strong> advanced studies<br />
and scientific research that lead to a significant contribution<br />
and knowledge <strong>of</strong> a particular area.<br />
Each student must pass a preliminary examination covering the<br />
core courses, complete an approved program <strong>of</strong> studies, pass the<br />
comprehensive examination (usually oral), complete a program<br />
<strong>of</strong> significant original research work and defend a dissertation<br />
concerning the research work completed.<br />
General degree requirements are presented in the Academic<br />
Overview section <strong>of</strong> this catalog.<br />
Curriculum<br />
After a bachelor’s degree in mathematical sciences, a minimum<br />
<strong>of</strong> 75 credit hours is required for the doctoral program, including<br />
the courses listed below:<br />
Core Areas (30 credit hours)<br />
Linear Algebra............................................................................................3<br />
Real and Complex Variables.......................................................................9<br />
Numerical and Computational Mathematics .............................................6<br />
Probability and Statistics ...........................................................................6<br />
Differential Equations ...............................................................................6<br />
Areas <strong>of</strong> Specialization (21–27 credit hours)<br />
Nonlinear Analysis<br />
Stochastic Analysis<br />
Optimization<br />
Numerical Analysis and Scientific Computing<br />
Statistics<br />
Considerable flexibility is allowed in the selection <strong>of</strong> courses in<br />
core areas and areas <strong>of</strong> specialization. Selected course <strong>of</strong>ferings<br />
from the mathematics department and other areas <strong>of</strong> science and<br />
engineering may be taken to fulfill the requirements.<br />
Doctoral Dissertation<br />
The dissertation consists <strong>of</strong> 24–30 credit hours <strong>of</strong> work and is<br />
expected to be completed within two years. The doctoral dissertation<br />
is expected to represent original research in mathematics.<br />
It may present new theoretical developments or new areas <strong>of</strong><br />
application or both. The dissertation should contain results that<br />
constitute a significant contribution to the literature <strong>of</strong> the field<br />
<strong>of</strong> investigation. These results should be worthy <strong>of</strong> publication in<br />
an established technical journal.<br />
Operations Research ________________________<br />
The doctor <strong>of</strong> philosophy program provides a more advanced<br />
level <strong>of</strong> education, as well as demonstrated ability to perform<br />
independent research. These additional strengths should qualify<br />
the graduate for vital positions <strong>of</strong> leadership in industry, business,<br />
government and academia.<br />
Admission Requirements<br />
An applicant for the doctoral program will normally have completed<br />
a master’s degree in operations research or a related discipline.<br />
If the master’s degree is not in operations research, then<br />
the student will be required to take the core courses for <strong>Florida</strong><br />
Tech’s master’s degree in operations research. These courses may<br />
be used toward fulfilling the credit requirements for the Ph.D. in<br />
operations research. Students also will be required to pass a written<br />
qualifying examination equivalent to <strong>Florida</strong> Tech’s master’s<br />
final program examination.<br />
General admission requirements are discussed in the Academic<br />
Overview section <strong>of</strong> this catalog.<br />
134 <strong>Florida</strong> Tech<br />
Degree Requirements<br />
A minimum <strong>of</strong> 48 credit hours beyond the requirements for the<br />
master’s degree is required to earn the doctoral degree. These<br />
credits include 24 credit hours <strong>of</strong> dissertation research in addition<br />
to normal course work.<br />
Each student must complete an approved program <strong>of</strong> study, pass<br />
a comprehensive examination, complete a program <strong>of</strong> significant<br />
original research, and defend a dissertation concerning the<br />
research. General degree requirements are presented in the<br />
Academic Overview section <strong>of</strong> this catalog.<br />
Curriculum<br />
The individual doctoral program <strong>of</strong> study must be approved by<br />
the student’s doctoral committee and the program chair. Students<br />
who have not taken MTH 5051 and MTH 5102, or their equivalents,<br />
will be required to take them. Students are also required<br />
to take at least two courses from the Computation/Computer<br />
Science list above.<br />
The doctoral program in operations research does not fall within<br />
the traditional boundaries <strong>of</strong> a single discipline. The scope is<br />
broad and interdisciplinary. Consequently, every course in a<br />
student’s program <strong>of</strong> study is evaluated in terms <strong>of</strong> how it complements<br />
other courses and provides breadth and depth to the<br />
program. Considerable latitude is permitted in course selection,<br />
provided the core requirements for operations research/mathematics/computation<br />
are met. The remaining courses are selected<br />
in collaboration with the Doctoral Committee according to the<br />
interests and research objectives <strong>of</strong> the student.<br />
research<br />
Active areas <strong>of</strong> research in the mathematics program include<br />
methods <strong>of</strong> nonlinear analysis, qualitative and quantitative<br />
properties <strong>of</strong> nonlinear evolution equations (including differential<br />
equations with delay), integro-differential equations and stochastic<br />
differential equations, spectral theory <strong>of</strong> operators, reactiondiffusion<br />
equations, approximation theory, applied statistics,<br />
sequential analysis, mathematical programming, combinatorial<br />
optimization, operations research, queuing theory, stochastic<br />
processes, mathematical modeling, neural networks, numerical<br />
and computational mathematics with emphasis on numerical<br />
methods for ordinary and partial differential equations, numerical<br />
algorithms and parallel processing.<br />
Current active research in operations research include the modeling<br />
<strong>of</strong> controlled queuing systems, stochastic processes, applied<br />
statistics, design <strong>of</strong> experiments, neural networks, parallel<br />
processing and algorithms, decision-making under uncertainty,<br />
simulation, engineering management, quality control, optimization<br />
models and methods, scheduling and timetabling algorithms,<br />
applied graph theory and integer programming.