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2008-2009 Graduate Catalog - Catalog of Studies - University of ...

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The <strong>Graduate</strong> School Departments and Course Descriptions<br />

STAT4033 Nonparametric Statistical Methods (Sp, Su, Fa) Chi square tests.<br />

Kolmogorov-Smirnov goodness-<strong>of</strong>-fit tests, the Mann-Whitney and Wilcoxon 2-sampling tests,<br />

and various nonparametric measures <strong>of</strong> association. Prerequisite: MATH 1203 and junior<br />

standing.<br />

STAT4043 Sampling Techniques (Sp, Su, Fa) Considers optimum techniques <strong>of</strong><br />

simple random, stratified random, cluster, systematic and multistage sampling from finite<br />

populations subject to cost precision constraints. Wide range <strong>of</strong> application. Prerequisite:<br />

STAT 4003.<br />

STAT4373 Experimental Design (Sp) Topics in the design and analysis <strong>of</strong> planned<br />

experiments, including randomized block, Latin square, split plot, and BIB designs, use <strong>of</strong><br />

fractional factorial replication, and repeated measures. Prerequisite: STAT 4003.<br />

STAT5103 Theory <strong>of</strong> Statistics (Fa) Fundamentals <strong>of</strong> probability, distribution theory,<br />

and random variables; expected value, moments, and generating functions; classic parametric<br />

families <strong>of</strong> distributions; central limit theorems, inequalities, and laws <strong>of</strong> large numbers. Prerequisite:<br />

MATH 2574.<br />

STAT5113 Statistical Inference (Sp) Statistical theory <strong>of</strong> estimation and testing hypothesis.<br />

Prerequisite: STAT 5103.<br />

STAT5313 Regression Analysis I (Sp) Matrix formulation <strong>of</strong> least squares and multiple<br />

regression models. Estimability and use <strong>of</strong> the generalized inverse in analysis <strong>of</strong> variance and<br />

covariance models <strong>of</strong> less than full rank. Computational aspects are emphasized.<br />

STAT5333 Analysis <strong>of</strong> Categorical Responses (Sp) A modern treatment, including<br />

extensions <strong>of</strong> classical probit analysis, multivariate logistic models, GSK model, loglinear<br />

models in analysis <strong>of</strong> multiway contingency tables, and nonmetric multidimensional scaling.<br />

Prerequisite: STAT 5313.<br />

STAT5343 Stochastic Processes (Sp, Su, Fa) Markov chains, branching processes,<br />

birth-death processes, queuing theory with application. Prerequisite: STAT 5103.<br />

STAT5353 Methods <strong>of</strong> Multivariate Analysis II (Sp) Hotelling’s T2 procedures,<br />

multivariate analysis <strong>of</strong> variance, discriminant function analysis and problems <strong>of</strong> classification,<br />

multidimensional scaling, and cluster analysis. Prerequisite: STAT 5313.<br />

STAT5383 Time Series Analysis (Sp, Su, Fa) Identification, estimation and forecasting<br />

<strong>of</strong> time series. Spectral analysis including the fast Fourier transform computational aspects<br />

are emphasized. Prerequisite: STAT 5103.<br />

STAT5413 Spatial Statistics (Fa) Applied spatial statistics, covering univariate spatial<br />

modeling (kriging), multivariate spatial modeling (cokriging), methods <strong>of</strong> estimation and inference,<br />

and spatial sampling designs. Special relevance to remote sensing. Prerequisite: STAT<br />

5313.<br />

STAT610V Research in Statistics (Irregular) (1-4) Prerequisite: <strong>Graduate</strong> standing.<br />

STAT639V Topics in Statistics (Irregular) (1-3) Current state <strong>of</strong> the art on methodology<br />

in one <strong>of</strong> the topics: multivariate analysis, time series analysis, sequential analysis, factor<br />

analysis, or biostatistics.<br />

Intro. to Comparative Literature 3<br />

Fiction Writing Workshop 3<br />

Form and Theory <strong>of</strong> Fiction 3<br />

Poetry Writing Workshop 3<br />

Form and Theory <strong>of</strong> Poetry 3<br />

Twenty-four hours chosen from the literature <strong>of</strong> foreign languages, including<br />

at least 6 hours from each <strong>of</strong> the candidate’s source languages. Teaching<br />

assistants may substitute ENGL 5003 Composition Pedagogy or FLAN 5063<br />

Teaching Foreign Languages at the College Level for literature courses in a<br />

foreign language. Candidates without previous history <strong>of</strong> English or Latin<br />

courses must substitute ENGL 6193 or LATN 3063.<br />

There will also be a thesis consisting <strong>of</strong> a translated collection <strong>of</strong> poems<br />

and/or stories or a translated novel, epic, or drama, as well as comprehensive<br />

written and oral examinations. A student must register for a minimum <strong>of</strong> six<br />

hours <strong>of</strong> M.F.A. thesis.<br />

All degree requirements must be completed within six consecutive calendar<br />

years from the date <strong>of</strong> first enrollment.<br />

Other Requirements: The policies and procedures approved for the Master<br />

<strong>of</strong> Arts and the Master <strong>of</strong> Science degrees also apply to the Master <strong>of</strong> Fine<br />

Arts degree. In addition to completing other requirements, the candidate must<br />

pass a comprehensive examination administered by the respective program<br />

area.<br />

Through an agreement with the Academic Common Market, residents <strong>of</strong><br />

certain Southern states may qualify for graduate enrollment in translation as<br />

in-state students for fee purposes. See page 239 for details.<br />

TRANSPORTATION ENGINEERING (TREG)<br />

TELECOMMUNICATIONS ENGINEERING<br />

See Electrical Engineering.<br />

TRANSLATION (TRAN)<br />

John T. DuVal<br />

Chair <strong>of</strong> <strong>Studies</strong><br />

333 Kimpel Hall<br />

479-575-4301<br />

http://www.uark.edu/depts/english/PCWT/trans.htm/<br />

See English and Foreign Language faculty lists.<br />

Degree Conferred:<br />

M.F.A. (TRAN)<br />

Requirements for M.F.A. in Translation: Candidate must demonstrate<br />

a satisfactory knowledge <strong>of</strong> two foreign languages. The candidate must take<br />

a minimum <strong>of</strong> 60 graduate hours. A candidate who already holds a graduate<br />

degree may be able to complete the program with 42 hours; a candidate who<br />

does not have at least a minor in English may be required to take additional<br />

courses.<br />

The following courses are required:<br />

HOURS<br />

Translation and Workshop 15<br />

Form and Theory <strong>of</strong> Translation, or<br />

<strong>University</strong> <strong>of</strong> Arkansas, Fayetteville<br />

Kevin D. Hall<br />

Head, Department <strong>of</strong> Civil Engineering and Chair <strong>of</strong> Transportation<br />

Engineering <strong>Studies</strong><br />

4190 Bell Engineering Center<br />

479-575-4954<br />

E-mail: kdhall@uark.edu<br />

http://www.engr.uark.edu<br />

• <strong>University</strong> Pr<strong>of</strong>essor Elliott<br />

• Pr<strong>of</strong>essors Dennis, Gattis, Hall, Wang<br />

• Research Pr<strong>of</strong>essor Buffington<br />

• Associate Pr<strong>of</strong>essors Cassady, Nachtmann, Rossetti<br />

• Research Assistant Pr<strong>of</strong>essor Williams (S.)<br />

Degree Conferred:<br />

M.S.T.E. (TREG)<br />

The Master <strong>of</strong> Science in Transportation Engineering program is accredited<br />

by the Engineering Accreditation Commission <strong>of</strong> ABET. The program is<br />

designed to prepare graduates for careers with governmental transportation and<br />

planning agencies, transportation engineering consulting firms, and industrial<br />

transportation groups. The program is broad-based, built upon courses <strong>of</strong>fered<br />

in the Departments <strong>of</strong> Civil Engineering, Industrial Engineering, and Marketing<br />

and Logistics. Students can focus their studies in one <strong>of</strong> four areas: transportation<br />

planning, facility design and construction, system operation, or industry logistics<br />

and operations.<br />

Program Objective: The objective <strong>of</strong> the program is to develop transportation<br />

engineers with diverse backgrounds and perspectives who are prepared for<br />

careers with governmental agencies, engineering firms, or transportation provid-<br />

167

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