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2006–2007 - Florida Institute of Technology

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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

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