{\noindent {\bf C. Description of Required Courses -- Currently identical to Other version}}

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{\noindent {\bf V.C.1. CSIT core courses}}

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Students in the CSIT Ph.D. program would be required to master
at least three of the following courses.

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\begin{description}

\item[Computational Science I] This is the first course in
a two-semester sequence on the role of computational methods,
models of computation, computer architectures, and digital computations
in scientific applications. Cross-cutting scientific applications selected
from topics in materials science, quantum mechanics, data analysis,
global warming, earth-quake propagation, will be used to underscore the
importance of numerical methods in linear algebra, ordinary and partial
differential equations, Monte Carlo methods and tools for software
development, performance monitoring, visualization and model evaluation.

\item[Computational Science II] This is the second course in
a two-semester sequence on the role of computational methods,
models of computation, computer architectures, and digital computations
in scientific applications. Cross-cutting scientific applications selected
from topics in fluid flow, phase transistions, biological structure
and climate prediction will be used to underscore the importance of parallel
computing, numerical methods in linear algebra, ordinary and
partial differential equations, Monte Carlo methods, and optimization
techniques.

\item[Applied Information Technology I] This is the first course
in a two-semester sequence covering the application of information
technologies of current interest within integrated online environments
for distributed scientific computing, online research
collaborations, education and electronic commerce.  Information
technology applications currently in the course include collaborative
research environments, genomics database application, electronic logbooks,
weather prediction, and teaching and learning systems, but specific applications
will evolve rapidly to insure inclusion of leading-edge scientific applications of
information technology.

\item[Applied Information Technology II] This is the second
semester of a two-semester sequence covering the application of information
technologies of current interest within integrated online environments
for distributed scientific computing, online research
collaborations, education and electronic commerce.  Information
technology applications will be selected from distributed
physics simulations, remote instrument operation and control and
advanced teaching and learning systems, but specific applications
will evolve rapidly to insure inclusion of leading-edge scientific
applications of information technology.

\end{description}

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{\noindent {\bf V.C.2. CSIT Intermediate Courses}}

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These courses are designed to build upon knowledge and skills
acquired in the core courses.  Note that students may be advised
to any of the core courses they have not already taken.

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\begin{description}

\item[Computational Science II] This is the second
course in a two-semester sequence covering computational methods.
Topics include sequential and parallel computer applications of
linear algebra, numerical methods for ordinary and partial
differential equations, Monte Carlo methods, optimization
techniques, tools for performance monitoring, visualization and
model evaluation.

\item[Parallel Computing Applications] This course will focus on
strategies for the development and maintenance of large parallel
applications required by a rapidly growing class of scientific
and engineering applications.  Students will develop a variety
of parallel applications to solve science and engineering
problems requiring extensive computations.

\item[Parallel Algorithms and Architectures]

\item[Applied Information Technology II] This is
the second semester of a two-semester sequence covering the
application of information
technologies of current interest within integrated online environments
including environments for distributed scientific computing, online research
collaborations, education and electronic commerce.  Information
technology applications currently in the course include distributed
simulations for high energy and nuclear physics, weather prediction,
electronic logbooks and teaching and learning systems, but they will
evolve rapidly to include leading edge scientific applications of
information technology.

\item[Distributed Computing Applications] This course will focus
on the strategies for the development and maintenance of large
distributed computing applications, such as fortunately parallel
computations, remote instrument monitoring and control, grid computing
and large-scale, real-time data acquisition.  Students will develop
distributed computing applications to solve science and
engineering problems, such as those listed above.

\item[Distributed Collaboration Environments] This
course provides students with an in depth look at the unique
problems, tools and requirements of online collaboration environments.
It focuses on the requirements, technology and use of
online collaboration environments for scientific research,
commerce and education.

\item[Photorealistic Computer Graphics] Computer architectures for graphics
applications, algorithms for rendering, scattering, realism and lighting techniques.

\item[Scientific Visualization] Serial and parallel visualization algorithms,
visualization of complex data sets, techniques for extracting information
from complex data sets.

\end{description}

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{\noindent {\bf V.C.3. CSIT Affiliated Courses}

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The courses listed below are offered by departments as part of
their standard course offerings and are included as part of the
CSIT curriculum.  A student's graduate advisory committee may
recommend that students within CSIT include selected courses
within their program of study for a variety of purposes.  Particular
courses may be used to help meet a student's needs in CSIT
intermediate or advanced instruction.  Additionally, some of these
courses may be used to help build a student's application area
expertise, provided they are normally used within the department's
own degree programs for that purpose.

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\begin{description}
\item[Biological Sciences]
\begin{description}
\item[Advanced Evolutionary Biology (PCB 5675)] - Needs description
\item[Current Problems in Neuroscience (PSB 6070r)] - Needs
description
\item[Gene Expression and Development (PCB 5595)] - Needs description
\item[Computational Biology ( )] - Needs description
\end{description}

\item[Chemical Engineering]
\begin{description}
\item[Advanced Biochemical Engineering (ECH 6748)]
\item[Advanced Process Control (ECH 5325)]
\item[Advanced Chemical Engineering Computation (ECH 5844)]
\item[Computational Molecular Dynamics]
\end{description}

\item[Chemistry]
\begin{description}
\item[Principles of Inorganic Chemistry (CHM 5620)]
\item[Physical Organic Chemistry (CHM 5245)]
\item[Thermodynamics and Statistical Mechanics (CHM 5460)]
\end{description}

\item[Computer Science]
\begin{description}
\item[Artificial Intelligence (CAP 5600)]
\item[Artificial Neural Networks (CAP 5615)]
\item[Complexity of Algorithms (COT 5410)]
\item[Computer Architecture (CDA 5155)]
\item[Database Systems (COP 5710)]
\item[Object-oriented Programming]
\item[Software Engineering (COP 5632)]
\end{description}
\item{Economics}
\begin{description}
\item[Applied Microeconmics (ECO 5114)]
\item[Computational Economics I, II (ECO 5408)]
\item[Limited Dependent Variable Models (ECO 5427)]
\item[Mathematical Demography (ECP 5117)]
\item[Simultaneous Equation Models (ECO 5424)]
\item[Time Series Analysis (ECO 5425)]
\end{description}

\item[Geology]
\begin{description}
\item[Advanced Topics in Hydrology (GLY 5829r)]
\item[Hydrodynamics (GLY 5556)]
\item[Numerical Modeling of Groundwater Flow (GLY 5826)]
\end{description}

\item[Industrial Engineering]
\begin{description}
\item[Advanced Simulation Applications (ESI 5524)]
\item[Applications of Knowledge Engineering (ESI 5625)]
\item[Computational Topics in Industrial Engineering (EIN 5118)]
\item[Computer-Aided Manufacturing (EIN 5396)]
\item[Optimization on Networks (ESI 5492)]
\item[System Modeling and Simulation (ESI 5523)]
\end{description}

\item[Mathematics]
\begin{description}
\item[Advanced Topics in Differential Equations (MAP 6316r)]
\item[Advanced Topics in Numerical Analysis (MAD 6408r)]
\item[Finite-Element Methods (MAP 5395)]
\item[High-Order Finite-Difference Methods (MAD 5757)]
\item[Hydrodynamic Stability (MAP 5512)]
\item[Numerical Solutions of Partial Differential Equations I (MAD 5738)]
\item[Numerical Solutions of Partial Differential Equations II (MAD 5739)]
\item[Optimization (MAP 5207)]
\item[Perturbation Theory (MAP 5441)]
\item[Spectral Methods for Partial Differential Equations (MAD 5745)]
\item[Wave Propagation Theory (MAP 5513)]
\end{description}

\item[Mechanical Engineering]
\begin{description}
\item[Advanced Computational Fluid Dynamics (EML 6726)]
\item[Computational Materials Science (EML 5930)]
\item[Introduction to Computational Mechanics (EGH 5456)]
\item[Numerical Methods in Engineering (EGN 5455)]
\end{description}

\item[Meteorology]
\begin{description}
\item[Dynamical Weather Prediction (MET 5541r)]
\item[Advanced Time Series Analsysis (MET 6308)] - check on number
\item[Objective Analysis (MET 6561)] - check on number
\item[Statistical Weather Prediction (MET 5550)]
\end{description}

\item[Oceanography]
\begin{description}
\item[Physics of the Air-Sea Boundary Layer (OCP 5551)]
\item[Stability of Geophysical Fluid Flows (OCP 5255)]
\item[Turbulence (OCP 5271)]
\end{description}

\item[Physics]
\begin{description}
\item[Condensed Matter Physics I (PHZ 5491)]- check on number
\item[Condensed Matter Physics II (PHZ 5492)] - check on number
\item[Electrodynamics A (PHY 5645) and B (PHY 5437)]
\item[High-Energy Physics I (PHZ 5354) and II (PHZ 5355)]
\item[Nuclear Physics I (PHZ 5305) and II (PHZ 5307)]
\item[Computational Physics Laboratory (PHZ 5151C)]
\item[Management of Scientific Computations (PHZ 5146C)]
\item[Statistical Mechanics (PHY 5524)]
\item[Stochastic Processes and their Statistical Analysis]
\end{description}

\item[Statistics]
\begin{description}
\item[Computational Methods in Statistics I (STA 5106)]
\item[Computational Methods in Statistics II (STA 5107)]
\item[Image Analysis (STA 6468r)]
\item[Operations Research: Linear and Dynamic Programming (STA 5619)]
\item[Statistics in Applications I (STA 5166)]
\item[Statistics in Applications II (STA 5167)]
\item[Statistics in Applications III (STA 5168)]
\end{description}

\end{description}

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{\noindent{\bf V.C.4. CSIT Advanced Courses}}

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\begin{description}

\item[Advanced Applications in Computational Science] This course
examines emerging computational science technologies and their potential
applications in science, engineering and other fields.  Students
will be engaged in developing applications which explore the use of
these technologies in selected application areas.

\item[Advanced Applications of Information Technology] This course
examines emerging information technologies and their potential
applications in science, engineering and other fields.  Students
will be engaged in developing applications which expand the use of
information technology in selected application areas.

\item[Advanced Data Management or Data Intensive Computing] This
course provides students with an in depth look at the unique
problems, tools and requirements of data intensive computing applications.
It includes applications utilizing databases and data management,
computer networking technologies, grid computing, management of
scientific computations, and the principles, design and optimization
of data intensive computing systems.

\item[Online Teaching and Learning Systems] This course provides
students with an in depth look at the unique problems, tools and
requirements of online teaching and learning environments.  It focuses
on the requirements, technology and use of online environments for education.

\item[Special Topics in Computational Science and Information Technology]
Each semester a number of courses labeled
Special Topics in Computational Science and Information Technology may be
scheduled.  The exact content
of each of these courses will depend on the interests and needs of the students
and faculty.  Three months prior to the scheduling of these courses, individual
faculty members submit proposals for special topics courses to the Graduate Affairs
Committee.  Student or faculty groups are encouraged to approach an appropriate
faculty member and persuade him or her to submit a proposal for a course
they feel is needed.

\item[Graduate Tutorial in Computational Science and Information Technology]
 Selected topics in computational science.  Reading and analysis
 of primary literature.  Maximum of eight (8) students in each
 tutorial.  May be repeated up to a maximum of fifteen (15)
 semester hours.

\item[Applied Fuzzy Logic and Neural Networks] Place Holder.
\item[Computational Geometry, Grid/Mesh Generation] Place Holder.
\item[Computational Optimization] Place Holder.
\item[Control Theory] Place Holder.
\item[Distributed Databases] Place Holder.
\item[Domain Decomposition and Parallel Algorithms] Place Holder.
\item[Evolutionary Algorithms] Place Holder.
\item[Image and Time Series Analysis] Place Holder.
\item[Intelligent Systems] Place Holder.
\item[Linear and Nonlinear Programming] Place Holder.
\item[Parallel Computer Architectures] Place Holder.
\item[Parallel Linear Algebra] Place Holder.
\item[Stochastic Systems] Place Holder.
\item[Symbolic Computing] Place Holder.
\item[User Interface Design] Place Holder.
\item[Virtual Reality Environments] Place Holder.
\item[Wavelets in Computation and Analysis] Place Holder.
\end{description}

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{\noindent{\bf V.C.5. Additional CSIT Courses}}

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\begin{description}

\item[Preliminary Doctoral Examination] Students are required to
pass this examination before they can be admitted to the candidacy
for the Ph.D.  This exam covers core knowledge in computational
science and information technology and the student's chosen
application area.

\item[Dissertation]  The student must write a dissertation on
original CSIT research constituting a significant contribution to
knowledge and representing a substantial scholarly effort on the
part of the student.  The minimum number of dissertation hours for
completion of a doctoral degree shall be twenty-four (24) semester
hours.

\item[Dissertation Defense]  The student must successfully defend
their dissertation before the student's graduate committee in an
open meeting.

% \item[Thesis] A minimum of 6 semester hours is required for the Master's Degree.

% \item[Master's Comprehensive Exam] This exam covers core knowledge in
% computational science and information technology and the student's chosen
% application area.  Students are expected to pass this exam at the
% master's level before being awarded a master's degree.

\item[Directed Individual Study] May be repeated for a maximum of forty-eight (48)
semester hours.

\item[Supervised Research] May be repeated for a maximum of forty-eight (48)
semester hours.

\item[Colloquium]  A series of lectures given by faculty and visiting scientists.
May be repeated for a maximum of ten (10) hours.

\item[Introductory Seminar on Research]  A series of lectures given by faculty on
the research being conducted by the School of Computational Science and Information
Technology. May be repeated for a maximum of two (2) semester hours.

\item[Supervised Teaching]  Teaching under the direction of a senior faculty member.
May be repeated for a maximum of forty-eight (48) semester hours.

\item[Graduate Seminar in Computational Science and Information Technology]
May be repeated for a maximum of
ten (10) semester hours.

\end{description}

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{\noindent {\bf V.C.6. Additional Activities within CSIT}}

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The educational elements of the CSIT program extend beyond
course work, to include workshops, short courses, summer research
internships and an annual retreat. Workshops will bring scientists
and engineers in the forefront of CSIT-related research from around
the world to campus to interact with students and faculty.  Short
courses provide concentrated instruction on a cutting-edge research
topic to students and faculty at FSU, and from around the world.
Summer research internships in industry or a national laboratory
provide students with valuable experience in applications of
computational techniques to real-world problems.  The annual retreat
will provide an informal setting for CSIT students and faculty to
exchange ideas and perspectives, both on their individual research
topics and on more general CSIT issues.

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{\noindent {\bf V.C.7. Other Courses}

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\begin{description}

\item[Computational Models of Physical Systems] (Undergraduate courses)
Principles of the design,
development and evaluation of computational models, common computational
science and information technology techniques, impact of numerical methods,
computer hardware and software on model performance, testing and validation
of numerical models, and techniques for improving computational models.
The course uses real-world applications to illustrate the principles involved.

\item[Principles of Educational Technology]

\item[Principles of Computational Science]

\item[Principles of Information Technology]

\item[Simulation Science]
\end{description}
