2006–2007 - Florida Institute of Technology
2006–2007 - Florida Institute of Technology
2006–2007 - Florida Institute of Technology
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
defense is required. The nonthesis option requires a comprehensive<br />
examination. Courses taken to satisfy admission prerequisites<br />
cannot be counted toward the degree requirements.<br />
Curriculum<br />
The program’s curriculum is designed to provide breadth with<br />
some flexibility to accommodate the diversity <strong>of</strong> backgrounds<br />
typically found in an operations research program. Greater flexibility<br />
is provided for the elective courses beyond the core. A<br />
student has the choice <strong>of</strong> developing greater depth in one area <strong>of</strong><br />
specialization, aiming at eventual research in that area, or continuing<br />
to develop breadth across more than one area. By choosing<br />
courses in a related field <strong>of</strong> application, students can prepare<br />
for careers in specialty areas such as management science, actuarial<br />
science or economic modeling in addition to conventional<br />
areas <strong>of</strong> operations research.<br />
Each student will complete a program plan that satisfies the<br />
requirements listed below, subject to approval <strong>of</strong> the adviser and<br />
program chair. Substitutions are sometimes permitted.<br />
Core Courses (12 credit hours)<br />
MTH 5411 Mathematical Statistics 1<br />
ORP 5001 Deterministic Operations Research Models<br />
ORP 5002 Stochastic Operations Research Models<br />
ORP 5010 Mathematical Programming<br />
or<br />
ORP 5003 Operations Research Practice<br />
Restricted Electives (9 credit hours from the following list)<br />
MTH 5051 Applied Discrete Mathematics<br />
MTH 5102 Linear Algebra<br />
MTH 5401 Applied Statistical Analysis<br />
MTH 5412 Mathematical Statistics 2<br />
ORP 5020 Theory <strong>of</strong> Stochastic Processes<br />
ORP 5021 Queuing Theory<br />
Computation/Computer Science Elective (3 credit hours<br />
from the following list)<br />
CSE 5100 Data Structures and Algorithms<br />
CSE 5210 Formal Languages and Automata Theory<br />
CSE 5211 Analysis <strong>of</strong> Algorithms<br />
CSE 5290 Artificial Intelligence<br />
CSE 5610 Computational Complexity<br />
MTH 5301 Numerical Analysis<br />
MTH 5305 Numerical Linear Algebra<br />
MTH 5320 Neural Networks<br />
ORP 5050 Discrete System Simulation<br />
Free Electives (9 credit hours)<br />
Nonthesis option: Three courses in areas <strong>of</strong> interest to the student<br />
as approved in the student’s program plan.<br />
Thesis option: At least one course plus up to six credit hours for<br />
a thesis. The thesis should be an in-depth study <strong>of</strong> some topic and/or<br />
problem in operations research, subject to the approval <strong>of</strong> the thesis<br />
committee.<br />
Doctor <strong>of</strong> Philosophy Degree Program<br />
The doctor <strong>of</strong> philosophy program provides a more advanced level<br />
<strong>of</strong> education, as well as demonstrated ability to perform independent<br />
research. These additional strengths should qualify the<br />
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 take a written<br />
qualifying examination equivalent to <strong>Florida</strong> Tech’s master’s<br />
comprehensive examination.<br />
General admission requirements are discussed in the Graduate<br />
Information and Regulations section <strong>of</strong> this catalog.<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.<br />
General degree requirements are presented in the Graduate<br />
Information and Regulations 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<br />
is broad and interdisciplinary. Consequently, every course in<br />
a student’s program <strong>of</strong> study is evaluated in terms <strong>of</strong> how it<br />
complements other courses and provides breadth and depth to<br />
the program. Considerable latitude is permitted in course selection,<br />
provided the core requirements for operations research/<br />
mathematics/computation are met. The remaining courses are<br />
selected in collaboration with the Doctoral Committee according<br />
to the interests and research objectives <strong>of</strong> the student.<br />
Research<br />
Current active research efforts include the modeling <strong>of</strong> controlled<br />
queuing systems, stochastic processes, applied statistics, design<br />
<strong>of</strong> experiments, neural networks, parallel processing and algorithms,<br />
decision-making under uncertainty, simulation, engineering<br />
management, quality control, optimization models and<br />
methods, scheduling and timetabling algorithms, applied graph<br />
theory and integer programming.<br />
Physics<br />
DEPARTMENT OF PHYSICS AND SPACE SCIENCES<br />
Laszlo Baksay, Ph.D., Head<br />
Bachelor <strong>of</strong> Science<br />
Prepr<strong>of</strong>essional Physics Option<br />
Master <strong>of</strong> Science<br />
Doctor <strong>of</strong> Philosophy<br />
Pr<strong>of</strong>essors<br />
Marc M. Baarmand, Ph.D., experimental high-energy particle physics,<br />
QCD at Fermi National Accelerator Laboratory, proton-proton collisions<br />
at CERN.<br />
College <strong>of</strong> Science–Mathematics Education, Operations Research, Physics 137