UNDERGRADUATE PROGRAMS The - University of Rhode Island

from the period of discovery and colonization to
independence. (Seminar) Pre: graduate standing or
permission of instructor.
589 Seminar in Modern Spanish-American Literature
and Culture (3)
Topics of interest dealing with the development of
Spanish-American literature and culture from the period
of independence to the present. (Seminar) Pre:
graduate standing or permission of instructor. May
be repeated with different topic.
590 The Hispanic Presence in the United
States (3)
A study of the establishment of the Hispanic presence
and its heritage in the art, folklore, and language
of the United States, and an analysis of the
literature of the Spanish-speaking peoples. (Lec. 3)
Pre: graduate standing or permission of instructor. In
alternate years.
597, 598 Directed Study (3 each)
Individual research and reports on problems of
special interest. (Independent Study) Pre: graduate
standing and approval of the director of graduate
studies. May be repeated with different topic.
599 Master’s Thesis Research
Number of credits is determined each semester in
consultation with the major professor or program
committee. (Independent Study) S/U credit.
Statistics (STA)
Section Head: Associate Professor Gonzales
220 Statistics in Modern Society (3)
Elementary concepts in sampling, polls, surveys,
random samples. Foundations of statistical inference;
estimation, comparison prediction. Statistics for the
consumer, quality of data, credibility of statistical
evidence. Environmental measurements and experiments.
(Lec. 2, Rec. 1) (MQ)
307 Introductory Biostatistics (3)
Statistical methods applicable to health sciences.
Data presentation. Vital statistics and life tables.
Fitting models to health data. Testing, estimation,
analysis of cross-classifications, regression, correlation.
(Lec. 2, Rec. 1) Pre: MTH 107 or 108 or 131 or
141 or permission. Not open to students with credit
in 308 or 409.
308 Introductory Statistics (3)
Descriptive statistics, presentation of data, averages,
measures of variation, skewness, kurtosis. Elementary
probability, binomial and normal distributions.
Sampling distributions. Statistical inference, estimation,
confidence intervals, testing hypotheses, linear
regression, and correlation. (Lec. 2, Rec. 1) Pre:
MTH 107 or 110 or 111 or 131 or 141 or BUS 111
or permission. Not open to students with credit in
307 or 409.
409 Statistical Methods in Research I (3)
Same as 308 but is for students who have better
mathematical preparation. (Lec. 3) Pre: MTH 131 or
141. Not open to students with credit in 307 or 308.
411 (or PHP 411 or BPS 411) Biostatistics II (3)
An overview of statistical methods used in performing
research in pharmacotherapeutics and pharmacoepidemiology.
Emphasis will be on understanding
both common study designs and the output from
statistical analysis of data obtained from these studies.
(Lec. 3) Pre: an introductory statistics course (i.e.,
307) or permission of instructor.
412 Statistical Methods in Research II (3)
Multiple linear regression and correlation analysis,
curvilinear regression. Analysis of variance and covariance.
Analysis of enumerative data. Some nonparametric
methods. (Lec. 3) Pre: 307 or 308 or 409.
491 Directed Study in Statistics (1–3)
Advanced work in statistics. Conducted as supervised
individual projects. (Independent Study) Pre: permission
of chairperson. S/U credit.
492 Special Topics in Statistics (3)
Advanced topics of current interest in statistics.
(Lec. 3) Pre: permission of chairperson.
500 Nonparametric Statistical Methods (3)
Rank and sign tests, permutation tests and randomization,
run test, tests of goodness of fit, order statistics,
estimation, and comparison with parametric
procedures. Examples illustrating the applications of
nonparametric techniques. (Lec. 3) Pre: 409.
501 Analysis of Variance and Variance Components
(3)
Analysis of variance and covariance, experimental
design models, factorial experiments, random and
mixed models, estimation of variance components,
unbalanced data. (Lec. 3) Pre: 412.
502 Applied Regression Analysis (3)
Topics in regression analysis including subset selection,
biased estimation, ridge regression, and nonlinear
estimation. (Lec. 3) Pre: 412.
513 Statistical Quality Assurance
See Industrial and Systems Engineering 513.
515 Spatial Data Analysis (3)
Analysis of point patterns: visualizing, exploring
and modeling, space time clustering, correcting for
spatial variation, clustering around a specific point
source. Analysis of spatially continuous data: variogram
analysis and Kriging methods. (Lec. 3) Pre: 412
or permission of instructor.
517 Small N Designs
See Psychology 517.
SPANISH/STATISTICS
295
520 Fundamentals of Sampling and Applications
(3)
Simple random sampling; properties of estimates,
confidence limits. Sample size. Stratified random
sampling; optimum allocation, effects of errors, and
quota sampling. Regression and ratio estimates;
systematic and multistage sampling. (Lec. 3) Pre:
308 or 409.
522 Bioinformatics I (3–4)
See Computer Science 522.
532 (or ASP 532 or PSY 532) Experimental
Design (3)
Application of statistical methods to biological and
psychological research and experimentation. Experimental
situations for which various ANOVA and
ANCOVA designs are most suitable. (Lec. 3) Pre: 409
or equivalent.
535 Statistical Methodology in Clinical Trials (3)
Bioavailability, dose response models, crossover and
parallel designs, group sequential designs, survival
analysis, meta analysis. (Lec. 3) Pre: 409, 411, or 412
or permission of instructor.
536 Applied Longitudinal Analysis
Longitudinal data, linear mixed effects models, repeated
measures ANOVA, generalized linear models
for correlated data. (Lec. 3) Pre: 411 or 412 or permission
of the instructor.
541 Multivariate Statistical Methods (3)
Review of matrix analysis. Multivariate normal distribution.
Tests of hypotheses on means, Hotelling’s T2,
discriminate functions. Multivariate regression analysis.
Canonical correlations. Principal components.
Factor analysis. (Lec. 3) Pre: 412.
542 Categorical Data Analysis Methods (3)
Analysis of multidimensional categorical data by use
of log-linear and logit models. Discussion of methods
to estimate and select models followed by examples
from several areas. (Lec. 3) Pre: 412.
545 Bayesian Statistics (3)
Introduces Bayesian methods for a variety of statistical
problems. Topics include Bayesian inference,
model selection, Bayesian computation, hierarchical
models and Gibbs sampling. Open-source software
will be utilized for Bayesian data analyses. Pre: 411 or
412 or permission of instructor.
550 Ecological Statistics (3)
Application of statistical methodology to the following
topics: population growth, interactions of
populations, sampling and modeling of ecological
populations, spatial patterns, species abundance
relations, and ecological diversity and measurement.
(Lec. 3) Pre: 409 or permission of instructor.
576 Econometrics
See Environmental Economics 576.
COURSES