 | | Course ID: | STAT 2000. 4 hours. 3 hours lecture and 2 hours lab per week. | | Course Title: | Introductory Statistics | Course
Description: | Introductory statistics including the collection of data,
descriptive statistics, probability, and inference. Topics
include sampling methods, experiments, numerical and graphical
descriptive methods, correlation and regression, contingency
tables, probability concepts and distributions, confidence
intervals, and hypothesis testing for means and proportions. | | Oasis Title: | INTRO STATISTICS | | Duplicate Credit: | Not open to students with credit in STAT 2100H or STAT 3000 or MSIT 3000 | Semester Course
Offered: | Offered fall, spring and summer semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 2100H. 4 hours. 3 hours lecture and 2 hours lab per week. | | Course Title: | Introduction to Statistics and Computing (Honors) | Course
Description: | Sampling theory including sample survey design; descriptive statistics; statistical distributions and their uses; estimation; introductory statistical inference including z-test and t-test for one sample (hypothesis testing); analysis of differences in two means; simple linear regression and correlation; goodness of fit tests and contingency tables. | | Oasis Title: | INTRO STAT W COMP | | Duplicate Credit: | Not open to students with credit in STAT 2000 or STAT 2210 or MSIT 3000 | | Prerequisite: | Permission of Honors | Semester Course
Offered: | Offered fall and spring semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 3000. 3 hours. | | Course Title: | Statistical Methods for Business | Course
Description: | Statistical methods for analysis of business data. Topics include: descriptive statistics, probability, random variables and distributions, sampling distributions of sample mean and proportion, statistical inference for population mean and proportion for single sample, comparison of two population means and proportions, simple linear regression, and introduction to multiple regression. | | Oasis Title: | STAT METH FOR BUS | | Duplicate Credit: | Not open to students with credit in STAT 4210 or MSIT 3000 or MSIT 3000H | | Prerequisite: | ACCT 2101 and (MIST 2090 or CSCI 1100-1100L) | Semester Course
Offered: | Offered fall, spring and summer semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT(EMAT) 4050/6050. 3 hours. | | Course Title: | Data Analysis for Elementary and Middle School Teachers | Course
Description: | Univariate analysis for measurement data using graphs and
numerical summaries; bivariate analysis for measurement data
using scatterplots, correlation, and fitting lines; describing
categorical data; sampling methods; observational and
experimental studies; describing random behavior; binomial and
normal distributions; sampling distributions; confidence
intervals and significance testing; pedagogy methods for
instruction and integrating technology. | | Oasis Title: | DAT ANLY FOR TCHRS | | Duplicate Credit: | Not open to students with credit in STAT 4070/6070 | | Prerequisite: | STAT 2000 | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4070/6070. 3 hours. 2 hours lecture and 1 hours lab per week. | | Course Title: | Probability and Statistics for Secondary Teachers | Course
Description: | Sampling and statistical studies; basic probability; random variables and their distributions; exploring data using graphical techniques and numerical summaries; exploring relationships between two variables: chi-sq. test of independence; correlation, linear regression; confidence intervals and hypothesis testing for means and proportions. Group projects and activities illustrating concepts will be utilized. | | Oasis Title: | STAT FOR TEACHERS | | Duplicate Credit: | Not open to students with credit in STAT(EMAT) 4050/6050 | | Prerequisite: | STAT 2000 | Semester Course
Offered: | Offered fall semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4100/6100. 3 hours. | | Course Title: | Applied Stochastic Processes | Course
Description: | Stochastic processes including discrete, continuous and conditional probability concepts. Definitions and properties of stochastic processes. Markov processes and chains, basic properties, transition matrices and steady state properties. Reliability renewal and queueing processes, expected waiting times, single and multiserver queues. | | Oasis Title: | APPL STOCH PROC | | Duplicate Credit: | Not open to students with credit in STAT 4720/6720 or STAT 8700 | | Prerequisite: | MATH 2500 | Semester Course
Offered: | Offered spring semester every odd-numbered year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4110H. 3 hours. | | Course Title: | Honors Applied Statistics | Course
Description: | Analysis of variance including completely randomized design, randomized block design, factorial designs, and interaction; regression analysis including linear regression and multiple regression, model checking and analysis of residuals, and model building; nonparametric statistics; power of a test. Computer application by use of a statistical package with programming capabilities. Major project required. | | Oasis Title: | HONORS APPL STAT | | Duplicate Credit: | Not open to students with credit in STAT 4110 or STAT 4210 | | Prerequisite: | STAT 2100H and permission of Honors | Semester Course
Offered: | Offered spring semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4210. 3 hours. | | Course Title: | Statistical Methods | Course
Description: | Statistical distributions; one- and two-population tests about means, including t-tests and paired-difference tests; one- and two-population tests about the variance; contingency tables and goodness-of-fit tests; non-parametric tests; analysis of variance and simple experimental designs; linear regression and residual diagnostics. | | Oasis Title: | STATISTICAL METHODS | | Duplicate Credit: | Not open to students with credit in STAT 4110H or STAT 4110 | | Prerequisite: | STAT 2000 or STAT 3000 or MSIT 3000 | Semester Course
Offered: | Offered fall, spring and summer semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4220. 3 hours. | | Course Title: | Applied Experimental Designs | Course
Description: | Constructing and analyzing statistical experimental designs; blocking, randomization, replication and interaction; complete and incomplete block designs; factorial experiments; repeated measures; confounding effects. | | Oasis Title: | APPL EXP DESIGNS | | Prerequisite: | STAT 4110H or STAT 4210 | Semester Course
Offered: | Offered fall and spring semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4230/6230. 3 hours. | | Course Title: | Applied Regression Analysis | Course
Description: | Applied methods in regression analysis. Topics include univariate linear regression, techniques of multiple regression and model building, ANOVA as regression analysis, analysis of covariance, model selection and diagnostic checking techniques, nonlinear regression, and logistic regression. | | Oasis Title: | APPLIED REGRESSION | | Duplicate Credit: | Not open to students with credit in STAT 6320 or STAT 6420 | | Undergraduate Prerequisite: | STAT 4210 or STAT 4110H | | Graduate Prerequisite: | STAT 6210 or STAT 6310 or permission of the department | Semester Course
Offered: | Offered spring and summer semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4240/6240. 3 hours. | | Course Title: | Sampling and Survey Methods | Course
Description: | Design of finite population sample surveys. Stratified, systematic, and multistage cluster sampling designs. Sampling with probability proportional to size. Auxiliary variables, ratio and regression estimators, non-response bias. | | Oasis Title: | SAMPLING METHODS | | Undergraduate Prerequisite: | STAT 4210 or STAT 4110H | | Graduate Prerequisite: | STAT 6220 or STAT 6310 or permission of department | Semester Course
Offered: | Offered fall semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4260/6260. 3 hours. | | Course Title: | Statistical Quality Assurance | Course
Description: | Basic graphical techniques and control charts. Experimentation in quality assurance. Sampling issues. Other topics include process capability studies, error analysis, SPRT, estimation and reliability. | | Oasis Title: | QUALITY ASSURANCE | | Undergraduate Prerequisite: | STAT 4210 or STAT 4110H | | Graduate Prerequisite: | STAT 6220 or STAT 6310 or permission of department | Semester Course
Offered: | Offered spring semester every even-numbered year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4280/6280. 3 hours. | | Course Title: | Applied Time Series Analysis | Course
Description: | Autoregressive, moving average, autoregressive-moving average, and integrated autoregressive-moving average processes, seasonal models, autocorrelation function, estimation, model checking, forecasting, spectrum, spectral estimators. | | Oasis Title: | APPLIED TIME SERIES | | Undergraduate Prerequisite: | STAT 4230/6230 | | Graduate Prerequisite: | STAT 4230/6230 or STAT 6320 or STAT 6420 or permission of department | Semester Course
Offered: | Offered fall semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4290/6290. 3 hours. | | Course Title: | Nonparametric Methods | Course
Description: | Techniques and applications of nonparametric statistical methods, estimates, confidence intervals, one sample tests, two sample tests, several sample tests, tests of fit, nonparametric analysis of variance, correlation tests, chi-square test of independence and homogeneity, sample size determination for some nonparametric tests. | | Oasis Title: | NONPARAMETRICS | | Undergraduate Prerequisite: | STAT 4210 or STAT 4110H | | Graduate Prerequisite: | STAT 6220 or STAT 6310 or permission of department | Semester Course
Offered: | Offered spring semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4360/6360. 3 hours. | | Course Title: | Statistical Software Programming | Course
Description: | Programming techniques in modern statistical software, including
SAS and R for students with some experience with computer
programming. Topics include data input/output; data formats and
types; data management; flow control, conditional execution, and
program design; statistical graphics and exploratory data
analysis; basic procedures, and functions for statistical
modeling and inference. | | Oasis Title: | STAT PROGRAMMING | | Undergraduate Prerequisite: | (STAT 4220 and CSCI 1301) or permission of department | | Graduate Prerequisite: | STAT 6220 or STAT 4230/6230 or STAT 6320 or STAT 6420 | Semester Course
Offered: | Offered spring and summer semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | BIOS(STAT) 4380/6380. 3 hours. | | Course Title: | Survival Analysis | Course
Description: | Methods for comparing time-to-event data, including univariate parametric and nonparametric procedures, regression models, diagnostics, group comparisons, and use of relevant statistical computing packages. | | Oasis Title: | SURVIVAL ANALYSIS | | Undergraduate Prerequisite: | [(STAT 4210 or STAT 4110H) and STAT 4510/6510] or permission of department | | Graduate Prerequisite: | [(STAT 6220 or STAT 4230/6230 or STAT 6320 or STAT 6420 or BIOS 7020) and STAT 4510/6510] or permission of department | Semester Course
Offered: | Offered spring semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4510/6510. 3 hours. | | Course Title: | Mathematical Statistics I | Course
Description: | Concepts and basic properties of some special probability distributions, independence, moment generating functions, sampling distributions of statistics, limiting distributions. | | Oasis Title: | MATH STATISTICS I | | Prerequisite: | MATH 2500 | Semester Course
Offered: | Offered fall semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4520/6520. 3 hours. | | Course Title: | Mathematical Statistics II | Course
Description: | Introduction to the fundamentals of statistical inference.
Point estimation, including the properties of estimators and
ways of evaluating or comparing them, confidence intervals, and
hypothesis testing. Statistical inference in linear models,
including regression and analysis of variance, is also
discussed. | | Oasis Title: | MATH STATISTICS II | | Undergraduate Prerequisite: | STAT 4510/6510 | | Graduate Prerequisite: | STAT 4510/6510 | Semester Course
Offered: | Offered spring semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4630/6630. 3 hours. | | Course Title: | Statistical Methods in Bioinformatics I | Course
Description: | Important statistical concepts for bioinformatics are introduced
in the context of analysis of DNA sequence data. Statistical
topics include probability distributions, random variables,
sampling distributions, conditional and joint probability, and
stochastic processes. These are applied in analysis of shotgun
sequencing, DNA pattern analysis, sequence comparison, BLAST
searches, and other topics. | | Oasis Title: | STAT METH BIOINF I | | Undergraduate Prerequisite: | STAT 4210 or STAT 4110H | | Graduate Prerequisite: | STAT 6220 or STAT 6310 or permission of department | Semester Course
Offered: | Offered fall semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4640/6640. 3 hours. | | Course Title: | Statistical Methods in Bioinformatics II | Course
Description: | Further study of statistical concepts for bioinformatics.
Statistical topics include estimation and hypothesis testing,
maximum likelihood, Bayesian analysis, multiple testing, Markov
chains, MCMC methods, and random walks. These are applied in
BLAST, statistical modeling of DNA sequence, multiple sequence
alignment, models for sequence evolution, phylogenetic analysis
and other topics. | | Oasis Title: | STAT METH BIOINF II | | Undergraduate Prerequisite: | STAT 4630/6630 | | Graduate Prerequisite: | STAT 4630/6630 | Semester Course
Offered: | Offered spring semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4710/6710. 3 hours. | | Course Title: | Introduction to Probability Theory I | Course
Description: | Probability axioms, combinatorial analysis, random variables, univariate and multivariate distributions, expectations, conditional distributions, independence, and laws of large numbers. | | Oasis Title: | INTRO PROBABILITY I | | Duplicate Credit: | Not open to students with credit in STAT 8170 | | Prerequisite: | MATH 2500 | Semester Course
Offered: | Not offered on a regular basis. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4720/6720. 3 hours. | | Course Title: | Introduction to Probability Theory II | Course
Description: | Central limit theorems, random walks, Markov chains and processes, Brownian motion, branching and renewal processes, diffusion processes and queueing processes and applications. | | Oasis Title: | INTR PROBABILITY II | | Duplicate Credit: | Not open to students with credit in STAT 8170 | | Prerequisite: | STAT 4710/6710 | Semester Course
Offered: | Not offered on a regular basis. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 5010. 2 hours. | | Course Title: | Statistical Capstone Course I | Course
Description: | Provides undergraduate statistics majors with an exposure to
advanced statistical methods, beyond regression and analysis of
variance, and introduces the student to a data-analysis
experience related to a real scientific problem. In addition to
learning and applying statistical techniques, effective oral and
written communication of methods and results are emphasized. | | Oasis Title: | STAT CAPSTONE I | | Prerequisite: | STAT 4210 and STAT 4230/6230 | Semester Course
Offered: | Offered fall semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 5010W. 2 hours. | | Course Title: | Statistical Capstone Course I | Course
Description: | Provides an exposure to advanced statistical methods, beyond
regression and analysis of variance, and introduces the
student to a data-analysis experience related to a real
scientific problem. In addition to learning and applying
statistical techniques, effective oral and written
communication of methods and results are emphasized. | | Oasis Title: | STAT CAPSTONE I | | Nontraditional Format: | This version of the course will be taught as writing intensive,
which means that the course will include substantial and
ongoing writing assignments that a) relate clearly to course
learning; b) teach the communication values of a discipline—for
example, its practices of argument, evidence, credibility, and
format; and c) prepare students for further writing in their
academic work, in graduate school, and in professional life.
The written assignments will result in a significant and
diverse body of written work (the equivalent of 6000 words or
25 pages) and the instructor (and/or the teaching assistant
assigned to the course) will be closely involved in student
writing, providing opportunities for feedback and substantive
revision. | | Prerequisite: | STAT 4210 and STAT 4230/6230 | Semester Course
Offered: | Offered fall semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 5020W. 2 hours. | | Course Title: | Statistical Capstone Course II | Course
Description: | Provides an exposure to advanced statistical methods, beyond
regression and analysis of variance, and introduces the
student to a data-analysis experience related to a real
scientific problem. In addition to learning and applying
statistical techniques, effective oral and written
communication of methods and results are emphasized. | | Oasis Title: | STAT CAPSTONE II | | Nontraditional Format: | This version of the course will be taught as writing intensive,
which means that the course will include substantial and
ongoing writing assignments that a) relate clearly to course
learning; b) teach the communication values of a discipline—for
example, its practices of argument, evidence, credibility, and
format; and c) prepare students for further writing in their
academic work, in graduate school, and in professional life.
The written assignments will result in a significant and
diverse body of written work (the equivalent of 6000 words or
25 pages) and the instructor (and/or the teaching assistant
assigned to the course) will be closely involved in student
writing, providing opportunities for feedback and substantive
revision. | | Prerequisite: | STAT 5010 or STAT 5010W | Semester Course
Offered: | Offered spring semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 5020. 2 hours. | | Course Title: | Statistical Capstone Course II | Course
Description: | Provides students with an exposure to advanced statistical
methods, beyond regression and analysis of variance, and
introduces the student to a data-analysis experience related to
a real scientific problem. In addition to learning and applying
statistical techniques, effective oral and written
communication of methods and results are emphasized. | | Oasis Title: | STAT CAPSTONE II | | Prerequisite: | STAT 5010 or STAT 5010W | Semester Course
Offered: | Offered spring semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 5700/7700. 3-15 hours. Repeatable for maximum 15 hours credit. | | Course Title: | Internship in Statistics | Course
Description: | Supervised practicum in a government agency or industry site. | | Oasis Title: | STAT INTERNSHIP | | Nontraditional Format: | Students work within a statistics group under the direction of the group leader at the government or industry site. A report of the statistical consulting activity undertaken is submitted to the directing faculty member. | Semester Course
Offered: | Offered fall, spring and summer semester every year. | | Grading System: | S/U (Satisfactory/Unsatisfactory) |
| | | Course ID: | STAT 6210. 3 hours. | | Course Title: | Introduction to Statistical Methods I | Course
Description: | First course on statistics emphasizing applications in social,
behavioral sciences. Covers elementary topics, one and two
sample inference, simple linear regression, some categorical
data analysis. Uses point-and-click statistical software.
Provides preparation for Introduction to Statistical Methods II. | | Oasis Title: | INTRO STATS I | | Duplicate Credit: | Not open to students with credit in STAT 6310 or STAT 6315 | Semester Course
Offered: | Offered fall, spring and summer semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 6220. 3 hours. | | Course Title: | Introduction to Statistical Methods II | Course
Description: | A continuation of Introduction to Statistical Methods I.
Introduces additional statistical methods not covered in the
first course. Emphasizes applications in the social and
behavioral sciences. Topics include inference for categorical
variables, multiple regression, logistic regression, one-way
ANOVA, two-way ANOVA, ANCOVA, and nonparametric methods. Uses
point-and-click statistical software. | | Oasis Title: | INTRO STATS II | | Duplicate Credit: | Not open to students with credit in STAT 4230/6230 or STAT 6320 or STAT 6420 or STAT 6315 | | Prerequisite: | STAT 6210 | Semester Course
Offered: | Offered fall, spring and summer semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 6310. 3 hours. | | Course Title: | Statistical Analysis I | Course
Description: | Basic statistical analysis for students in quantitative
disciplines other than statistics. Topics include principles of
sampling and descriptive statistics, elementary probability and
probability distributions, discrete and continuous random
variables, normal distribution, sampling distributions,
statistical inference for one and two samples, simple linear
regression, basic nonparametrics, and chi-squared tests. | | Oasis Title: | STATIST ANALYSIS I | | Duplicate Credit: | Not open to students with credit in STAT 6210 or STAT 6315 | Semester Course
Offered: | Not offered on a regular basis. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 6320. 3 hours. | | Course Title: | Statistical Analysis II | Course
Description: | Linear regression, analysis of variance, and related
methodology for students in quantitative disciplines other than
statistics. Topics include multiple regression; associated
estimation and inference methods; model building, selection,
and diagnostics; the analysis of variance; completely
randomized and block designs; the analysis of covariance, and
relevant statistical computing packages. | | Oasis Title: | STATIST ANALYSIS II | | Duplicate Credit: | Not open to students with credit in STAT 6220 or STAT 4230/6230 or STAT 6420 or STAT 6315 | | Prerequisite: | STAT 6310 or permission of department | Semester Course
Offered: | Not offered on a regular basis. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 6420. 3 hours. | | Course Title: | Applied Linear Models | Course
Description: | An introduction to statistical data analysis techniques and
multiple linear regression via its matrix representation,
regression diagnostics, logistic regression for binary data,
basic design of experiments and relevant statistical computing
packages. | | Oasis Title: | APPL LINEAR MODELS | | Prerequisite: | Permission of department | Semester Course
Offered: | Offered fall semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 6430. 3 hours. | | Course Title: | Design and Analysis of Experiments | Course
Description: | Theory and methods for constructing and analyzing designed
experiments are considered. Basic concepts in design of
experiments, analysis of covariance, completely randomized
designs, randomized complete and incomplete block designs,
row-column designs, repeated measures designs, factorial
designs, split-plot experiments will be covered. Additional
topics may include response surface modeling, mixture designs. | | Oasis Title: | DESIGN OF EXPTS | | Prerequisite: | STAT 6420 or permission of department | Semester Course
Offered: | Offered spring semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 6800. 3 hours. | | Course Title: | Tools for Statistical Theory | Course
Description: | Provides preparation for graduate study in statistics by
surveying topics in linear algebra and other areas chosen to
strengthen students' analytical and mathematical skills. | | Oasis Title: | TOOLS STAT THRY | | Prerequisite: | Permission of department | Semester Course
Offered: | Offered fall semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 6810. 3 hours. | | Course Title: | Probability Distributions | Course
Description: | Builds the foundation in probability distribution theory that
is necessary to learn statistical inference. Emphasizes
mathematical rigor and includes topics such as probability
laws; random variables and probability distributions; joint,
marginal and conditional distributions; expectation and
conditional expectation; transformations; and properties of a
random sample. | | Oasis Title: | PROBABILITY DIST | | Prerequisite: | STAT 4520/6520 or permission of department | Semester Course
Offered: | Offered fall semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 6820. 3 hours. | | Course Title: | Statistical Inference | Course
Description: | The principles and theory behind statistical inference. It
provides justification for many statistical procedures
routinely used in practice and discusses principles and theory
that can be used to develop reasonable solutions to new
statistical problems. | | Oasis Title: | STATISTICAL INFER | | Prerequisite: | STAT 6810 | Semester Course
Offered: | Offered spring semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 7000. 1-9 hours. Repeatable for maximum 24 hours credit. | | Course Title: | Master's Research | Course
Description: | Research while enrolled for a master's degree under the direction of faculty members. | | Oasis Title: | MASTER'S RESEARCH | | Nontraditional Format: | Independent research under the direction of a faculty member. | | Prerequisite: | Permission of department | Semester Course
Offered: | Offered fall, spring and summer semester every year. | | Grading System: | S/U (Satisfactory/Unsatisfactory) |
| | | Course ID: | STAT 7300. 1-9 hours. Repeatable for maximum 18 hours credit. | | Course Title: | Master's Thesis | Course
Description: | Thesis writing under the direction of the major professor. | | Oasis Title: | MASTER'S THESIS | | Nontraditional Format: | Independent research and thesis preparation. | | Prerequisite: | Permission of department | Semester Course
Offered: | Offered fall, spring and summer semester every year. | | Grading System: | S/U (Satisfactory/Unsatisfactory) |
| | | Course ID: | STAT 7770. 1-5 hours. Repeatable for maximum 60 hours credit. | | Course Title: | Graduate Assistantship Teaching in Statistics | Course
Description: | Provides graduate teaching assistants with knowledge of pedagogical approaches and available support systems for teaching statistics courses. Special sections are reserved for international students, with focus on use of language, pedagogy, and cultural aspects of teaching in this country. | | Oasis Title: | TEACHING IN STAT | | Prerequisite: | Permission of department | Semester Course
Offered: | Offered fall semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8000. 3 hours. Repeatable for maximum 6 hours credit. | | Course Title: | Supervised Statistical Consulting | Course
Description: | Students will participate in statistical consulting projects for
real clients and analyze data to solve applied problems.
Students will develop skills needed to work with clients,
formulate and draw conclusions from statistical models, explain
analyses and results, use statistical software, and deliver
clear, nontechnical written and oral reports to clients. | | Oasis Title: | STATIST CONSULTING | | Prerequisite: | Permission of department | Semester Course
Offered: | Offered fall, spring and summer semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8040. 3 hours. | | Course Title: | Environmental Statistics | Course
Description: | Methods for sampling the environment and analysis of
environmental data are considered. Techniques are presented for
estimation, hypothesis testing, and regression when data are
non-normal and/or dependent. Statistical methods based on
generalized linear models, linear mixed models, time series
analysis, and spatial data analysis are surveyed from an applied
perspective. | | Oasis Title: | ENVIRON STATIST | | Prerequisite: | STAT 6220 or STAT 4230/6230 or STAT 6320 or STAT 6420 or permission of department | Semester Course
Offered: | Offered fall semester every even-numbered year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8060. 3 hours. | | Course Title: | Computing Techniques in Statistics I | Course
Description: | Essential numerical methods for statistical computing are
presented. All algorithms are implemented in a high-level
language that furnishes a function that performs the algorithm,
as well as in a low-level language in which the algorithms must
be programmed from scratch. | | Oasis Title: | COMPUTING STAT I | | Prerequisite: | (STAT 4510/6510 or STAT 6810) and STAT 6420 | Semester Course
Offered: | Offered fall semester every odd-numbered year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8070. 3 hours. | | Course Title: | Computing Techniques in Statistics II | Course
Description: | A continuation of Computing Techniques in Statistics I.
Students will learn computational algorithms and heuristics and
how to program them. Many of the methods studied in this course
are higher level approaches built from the computational and
numerical techniques from Computing Techniques in Statistics I.
Students will be confronted with statistical problems requiring
innovative computational solutions. | | Oasis Title: | COMPUTING STAT II | | Prerequisite: | STAT 8060 | Semester Course
Offered: | Offered spring semester every even-numbered year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8090. 3 hours. | | Course Title: | Statistical Analysis of Genetic Data | Course
Description: | Methods for analysis of genetic data, with an emphasis on gene
mapping. Topics include quantitative genetics, covariance
between relatives, estimation of genetic parameters, detection
of genetic linkage in crosses and natural populations,
association mapping, and QTL mapping. Emphasis on fitting
models, estimating parameters, and making inferences based on
genetic data. | | Oasis Title: | STATIST GENETICS | | Prerequisite: | (STAT 6220 or STAT 4230/6230 or STAT 6320 or STAT 6420) and STAT 4510/6510 | Semester Course
Offered: | Offered spring semester every even-numbered year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | BIOS(STAT) 8140. 3 hours. | | Course Title: | Multilevel and Hierarchical Models | Course
Description: | Multilevel and hierarchical models for social and biological
sciences. Empirical Bayes, James-Stein, maximum likelihood, and
Bayesian estimation of model parameters. Interpreting and
diagnosing multilevel models, model building, and uncertainty
assessment. | | Oasis Title: | MULTILEVEL MODELS | | Prerequisite: | BIOS 7020 or STAT 6220 or STAT 6320 | Semester Course
Offered: | Offered fall semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8170. 3 hours. | | Course Title: | Probability Theory I | Course
Description: | Measurable spaces and measures, Lebesgue-Stieljes measure, independence, almost sure and in probability convergence, integration in probability spaces, product measures, absolute continuity of measures, weak law of large numbers, strong law of large numbers, weak convergence. | | Oasis Title: | PROBABILITY I | | Prerequisite: | STAT 6820 or permission of department | Semester Course
Offered: | Offered fall semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8180. 3 hours. | | Course Title: | Probability Theory II | Course
Description: | Central limit theorem and Lindeberg-Feller theorem, stable laws, infinitely divisible laws, conditional expectations, Martingales, almost sure convergence for martingales, uniform integability, Markov chains, Brownian motion, Skorokhod's representation and Donsker's theorem. | | Oasis Title: | PROBABILITY II | | Prerequisite: | STAT 8170 | Semester Course
Offered: | Not offered on a regular basis. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8200. 3 hours. | | Course Title: | Design of Experiments for Research Workers | Course
Description: | Methods for constructing and analyzing designed experiments are considered. Concepts of experimental unit, randomization, blocking, replication, and orthogonal contrasts are introduced. Designs include completely randomized design, randomized complete block design, Latin squares design, split-plot design, repeated measures design, and factorial and fractional factorial designs. | | Oasis Title: | EXPER DESIGNS | | Duplicate Credit: | Not open to students with credit in STAT 6430 | | Prerequisite: | STAT 6220 or STAT 4230/6230 or STAT 6320 or STAT 6420 | Semester Course
Offered: | Offered fall, spring and summer semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8210. 3 hours. | | Course Title: | Multivariate: Theory and Methods | Course
Description: | An introduction to the theory and methodology of multivariate
statistics for students with training in linear models and
mathematical statistics. Topics include the multivariate normal
distribution, one and two population inference on population
mean vectors, MANOVA, principal component analysis, factor
analysis, discrimination, classification, and canonical
correlation. | | Oasis Title: | MULTIVARIATE | | Duplicate Credit: | Not open to students with credit in STAT 8250 | | Prerequisite: | STAT 6420 and STAT 4520/6520 | Semester Course
Offered: | Offered fall semester every even-numbered year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | BIOS(STAT) 8220. 3 hours. | | Course Title: | Clinical Trials | Course
Description: | Drug development and FDA approval procedures; randomization;
blindness; phase I-IV clinical trials; multicenter trials;
bioequivalency; sample size determination; design and analysis;
cross-over design; repeated measurements design; survival
analysis; meta analysis. | | Oasis Title: | CLINICAL TRIALS | | Prerequisite: | STAT 6320 or STAT 6420 or BIOS 7020 | Semester Course
Offered: | Offered fall semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8230. 3 hours. | | Course Title: | Applied Nonlinear Regression | Course
Description: | Statistical modeling using nonlinear regression is considered. Topics include fixed-effects nonlinear regression models, nonlinear least squares, computational methods and practical matters, growth models, and compartmental models. Nonlinear mixed-effects models are discussed, including model interpretation, estimation and inference. Examples will be drawn from forestry, pharmaceutical sciences, and other fields. | | Oasis Title: | APPL NONLINEAR REG | | Prerequisite: | STAT 6320 or STAT 6420 or permission of department | Semester Course
Offered: | Offered fall semester every odd-numbered year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8240. 3 hours. | | Course Title: | Sampling and Related Topics | Course
Description: | Recent development in model-based estimation in survey sampling. A super population approach to inference on finite population quantities will be taken. Both Bayesian and classical approaches to sampling and related applications including small area estimation will be emphasized. | | Oasis Title: | SAMPLING | | Prerequisite: | (STAT 6240 and STAT 6820 and STAT 8260) or permission of department | Semester Course
Offered: | Not offered on a regular basis. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8250. 3 hours. | | Course Title: | Multivariate Methods | Course
Description: | An introduction to the methodology of multivariate statistics
for quantitatively-oriented students from various disciplines
who have training in regression and analysis of variance.
Topics include the multivariate normal distribution, one and
two population inference on population mean vectors, MANOVA,
principal component analysis, factor analysis, discrimination,
classification, and canonical correlation. | | Oasis Title: | MULTIVAR METHODS | | Duplicate Credit: | Not open to students with credit in STAT 8210 | | Prerequisite: | STAT 6220 or STAT 6320 or STAT 6420 | Semester Course
Offered: | Offered spring semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8260. 3 hours. | | Course Title: | Theory of Linear Models | Course
Description: | Theory of the linear model is introduced. Topics include a
review of relevant linear algebra, distribution theory, the
full and non-full rank linear models, ordinary and generalized
least squares and maximum likelihood estimation, prediction,
interval estimation and hypothesis tests, estimability,
analysis of variance, restricted models, reparameterization,
and mixed models. | | Oasis Title: | LINEAR MODELS | | Pre or Corequisite: | STAT 6420 and (STAT 6820 or STAT 4520/6520) | Semester Course
Offered: | Offered spring semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8270. 3 hours. | | Course Title: | Spatial Statistics | Course
Description: | Models and theories in spatial data, including geostatistics,
lattice data, spatial point patterns, and space-time data. The
course will focus on random field theory, various spatial
regression models, model fitting, inferences and spatial
prediction, with applications to agriculture, environmental
sciences, forestry, and public health. | | Oasis Title: | SPATIAL STATISTICS | | Prerequisite: | STAT 4520/6520 and STAT 8260 | Semester Course
Offered: | Offered spring semester every odd-numbered year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8280. 3 hours. | | Course Title: | Time Series Analysis | Course
Description: | Advanced topics in time series analysis and forecasting. Linear
and nonlinear time series will be discussed. Topics include
stationary processes, autocorrelation functions, various
univariate time series models, forecasting, and multivariate
time series. The focus is mostly on theoretical topics, but
some applications are covered. | | Oasis Title: | TIME SERIES | | Prerequisite: | STAT 6820 or STAT 8260 | Semester Course
Offered: | Offered spring semester every odd-numbered year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8290. 3 hours. | | Course Title: | Advances in Experimental Designs | Course
Description: | Covers state-of-the-art knowledge on selected topics such as
factorial experiments, fractional factorials, incomplete block
designs, orthogonal arrays, crossover designs, response surface
methodology, mixture experiments, optimal design theory for
linear and nonlinear models, and design construction techniques. | | Oasis Title: | ADV EXP DESIGNS | | Prerequisite: | STAT 8260 and STAT 6430 | Semester Course
Offered: | Offered fall semester every even-numbered year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8300. 3 hours. | | Course Title: | Multivariate Analysis | Course
Description: | Selected topics in the theory of multivariate analysis at an advanced level. | | Oasis Title: | MULTIVARIATE ANAL | | Prerequisite: | STAT 6820 and STAT 8210 | Semester Course
Offered: | Not offered on a regular basis. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8330. 3 hours. | | Course Title: | Advanced Applications and Computing in R | Course
Description: | Basics of R programming language, objects in R, graphics in R,
implementing modern statistical techniques in R. Topics include
smoothing techniques, data summaries, robust methods, the
bootstrap, permutation tests, Monte Carlo simulations, linear
models, generalized linear models, modern nonlinear regression
techniques, multivariate statistics, and survival analysis. | | Oasis Title: | ADV APPL COMP | | Prerequisite: | STAT 6420 or STAT 6320 | Semester Course
Offered: | Offered fall semester every even-numbered year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8350. 3 hours. | | Course Title: | Bayesian Data Analysis | Course
Description: | Introduction to the theory and methods of the Bayesian approach
to data analysis and statistical inference. | | Oasis Title: | BAYES DATA ANALYSIS | | Prerequisite: | STAT 4510/6510 and (STAT 6320 or STAT 6420) | Semester Course
Offered: | Offered fall semester every odd-numbered year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8530. 3 hours. | | Course Title: | Advanced Statistical Inference I | Course
Description: | The theory of statistical inference is presented at an advanced
level, including both frequentist and Bayesian perspectives.
This course provides justification of many statistical
procedures routinely used in good practice of statistics and
discusses principles and theory that can be used to derive
reasonable solutions to new statistical problems. | | Oasis Title: | ADV STAT INFER I | | Prerequisite: | STAT 6820 | | Pre or Corequisite: | STAT 8170 | Semester Course
Offered: | Offered spring semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8540. 3 hours. | | Course Title: | Advanced Statistical Inference II | Course
Description: | This is a course on large sample statistical methods. In many
situations exact properties of statistical procedures used are
not known and hence large sample approximations have to be made.
This course is concerned with asymptotic methods which can be
used to study tests and estimators based on large samples. | | Oasis Title: | ADV STAT INFER II | | Prerequisite: | STAT 8530 | Semester Course
Offered: | Offered fall semester every odd-numbered year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8550. 3 hours. | | Course Title: | Asymptotic Inference | Course
Description: | Local asymptotic normality and its applications; M-estimation; minimum distance methods; robust inference; quasilikelihood and applications to generalized linear models; kernel density estimation; adaptive estimators and tests with applications to proportional hazard models. | | Oasis Title: | ASYMPTOTIC INFER | | Prerequisite: | STAT 8540 | Semester Course
Offered: | Not offered on a regular basis. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8560. 3 hours. | | Course Title: | Advanced Theory of Nonparametric Statistics | Course
Description: | Nonparametric estimation and hypothesis testing, relative efficiency, exchangeable random variables, ranking and distribution free statistics, generalized U-Statistics, generalized linear rank statistics, limiting distributions of certain nonparametric statistics, density estimation and related topics. | | Oasis Title: | ADV NONPARAMETRICS | | Prerequisite: | STAT 8540 | Semester Course
Offered: | Not offered on a regular basis. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8570. 3 hours. | | Course Title: | Statistical Decision Theory | Course
Description: | Essential elements of decision theory, game theoretic approach, minimax theorem, Bayesian Inference and decision rules, admissibility and minimaxity results, minimax estimation of normal and Poisson means, multiple decision problems, gamma-minimaxity. | | Oasis Title: | DECISION THEORY | | Prerequisite: | STAT 8530 | Semester Course
Offered: | Not offered on a regular basis. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8620. 3 hours. | | Course Title: | Categorical Data Analysis and Generalized Linear Models | Course
Description: | Categorical data analysis and generalized linear models
beginning with contingency tables and their analysis. Theory of
generalized linear models will then be presented, followed by
more detailed and application-oriented discussions of special
cases, including logistic, log-linear models, and multinomial
response models. Overdispersion is also discussed. | | Oasis Title: | CAT DATA & GLMS | | Prerequisite: | STAT 8260 and (STAT 4520/6520 or STAT 6820) | Semester Course
Offered: | Offered fall semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8630. 3 hours. | | Course Title: | Mixed-Effect Models and Longitudinal Data Analysis | Course
Description: | Extensions of classical and generalized linear models with
emphasis on longitudinal data analysis. Course will focus on
linear mixed models, and marginal and mixed-effect versions of
generalized linear models for longitudinal discrete data.
Emphasis will be placed on the application of these models to
analyze real data. | | Oasis Title: | LONG DATA ANALYSIS | | Prerequisite: | STAT 8260 | | Pre or Corequisite: | STAT 8620 | Semester Course
Offered: | Offered spring semester every odd-numbered year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8650. 3 hours. | | Course Title: | Bootstrapping Techniques | Course
Description: | The jacknife and bootstrap, bootstrap confidence intervals, prepivoting, asymptotic validity and invalidity, bootstrap accuracy and Edgeworth expansions, bootstrap for regression and autoregression, bootstrapping Markov chain models, moving block bootstrap for general weakly dependent data. | | Oasis Title: | BOOTSTRAPPING | | Prerequisite: | STAT 8530 | Semester Course
Offered: | Not offered on a regular basis. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8700. 3 hours. | | Course Title: | Stochastic Processes | Course
Description: | Discrete time Markov chains, continuous time Markov chains, queueing processes, renewal processes, Markov random fields, point processes, Brownian motion and diffusion. | | Oasis Title: | STOCHAST PROCESSES | | Prerequisite: | STAT 8170 | Semester Course
Offered: | Offered spring semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8730. 3 hours. | | Course Title: | Sequential Analysis | Course
Description: | Stopping times, optional stopping theorem, Anscombe's theorem, renewal theorem and associated results, SPRT for simple and composite hypotheses, nonlinear renewal theory, sequential point and interval estimation. In addition to these topics, current results from the literature will be presented. | | Oasis Title: | SEQUENTIAL ANALYSIS | | Prerequisite: | STAT 6820 | | Pre or Corequisite: | STAT 8170 and STAT 8530 | Semester Course
Offered: | Not offered on a regular basis. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8900. 3 hours. Repeatable for maximum 27 hours credit. | | Course Title: | Special Topics in Statistics | Course
Description: | Selected topics concerning recent developments in statistics. | | Oasis Title: | TOPICS IN STAT | | Prerequisite: | Permission of department | Semester Course
Offered: | Offered fall, spring and summer semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8910. 1-3 hours. Repeatable for maximum 18 hours credit. | | Course Title: | Statistical Seminar | Course
Description: | Students will learn about current research topics in statistics.
Students will attend departmental colloquia and other
presentations concerning research. In addition, students will
meet with individual faculty members to discuss their current
research activities and open problems in statistics. | | Oasis Title: | STAT SEMINAR | | Nontraditional Format: | None. | | Prerequisite: | Permission of department | Semester Course
Offered: | Offered fall and spring semester every year. | | Grading System: | S/U (Satisfactory/Unsatisfactory) |
| | | Course ID: | STAT 8920. 2 hours. | | Course Title: | Statistical Research and Professional Practice I | Course
Description: | Provides training in the skills, tools, and resources essential
for conducting statistical research and for being a successful
practicing statistician. Students will learn how to read
statistical literature, how to identify and address open
problems, communication skills, and the means and methods of
research and problem solving. | | Oasis Title: | STAT RSRC & PRAC I | | Prerequisite: | Permission of department | Semester Course
Offered: | Offered fall semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8930. 2 hours. | | Course Title: | Statistical Research and Professional Practice II | Course
Description: | A continuation of Statistical Research and Professional
Practice I and provides training in the skills, tools, and
resources essential for conducting statistical research and for
being a successful practicing statistician. Students will
review statistical literature, formulate research and applied
problems in statistical terms, and develop writing and oral
presentation skills. | | Oasis Title: | STAT RSRC & PRAC II | | Prerequisite: | STAT 8920 | Semester Course
Offered: | Offered spring semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 9000. 1-12 hours. Repeatable for maximum 45 hours credit. | | Course Title: | Doctoral Research | Course
Description: | Research while enrolled for a doctoral degree under the direction of faculty members. | | Oasis Title: | DOCTORAL RESEARCH | | Nontraditional Format: | Independent research under the direction of a faculty member. | | Prerequisite: | Permission of department | Semester Course
Offered: | Offered fall, spring and summer semester every year. | | Grading System: | S/U (Satisfactory/Unsatisfactory) |
| | | Course ID: | STAT 9300. 1-12 hours. Repeatable for maximum 45 hours credit. | | Course Title: | Doctoral Dissertation | Course
Description: | Dissertation writing under the direction of the major professor. | | Oasis Title: | DOCT DISSERTATION | | Nontraditional Format: | Independent research and preparation of the doctoral dissertation. | | Prerequisite: | Permission of department | Semester Course
Offered: | Offered fall, spring and summer semester every year. | | Grading System: | S/U (Satisfactory/Unsatisfactory) |
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