Courses

HR
 

Find a Course

Use the menus below to help you find a course.

By Prefix and Number: PREFIX: NUMBER:
By Prefix:
 
 
HR
Quicklinks

Schedule of Classes
Transfer Equivalency Search
Course Application Deadlines

Advanced Search

Keyword Search


Syllabus information is only available for a single course. Enter a specific course number or select a specific course ID from the drop down list, to view syllabus information.
       
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, MSIT 3001, MSIT 3000H, MSIT 3001H or BIOS 2010-2010L
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 2270 or 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 STAT 6315 or permission of department
Semester Course
Offered:
Offered fall, 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 STAT 6315 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 STAT 6315 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 and STAT 4360/6360
Graduate Prerequisite:[STAT 4360/6360 and (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 STAT 6315 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 1301-1301L) or permission of department
Graduate Prerequisite:STAT 6220 or STAT 4230/6230 or STAT 6320 or STAT 6420 or STAT 8200 or permission of department
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 2270 or 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 STAT 6315 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 or MATH 2270
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 4950. 1-3 hours. Repeatable for maximum 6 hours credit.
Course Title:Undergraduate Directed Study in Statistics
Course
Description:
This course will allow students the opportunity for independent study of one or more topics in statistics under the direction of the instructor.
Oasis Title:UG DIR STUDY STAT
Nontraditional Format:Students' workload and time commitment to the course per credit hour will be commensurate with the per credit hour expectations in traditional 4000-level courses offered by the Department of Statistics. A minimum of one contact hour with the instructor per credit hour per week is required.
Prerequisite:Permission of department
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 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 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 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 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 6315 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:BIOS(STAT) 8050. 3 hours.
Course Title:Intermediate Mathematical Statistics
Course
Description:
Calculus-based introduction to probability and mathematical statistics for students in Biostatistics, Epidemiology and other fields requiring a technical understanding of statistical inference. Random variables, expectation, laws of large numbers and central limit theorem. Point estimation, confidence intervals, and hypothesis testing for statistical models with public health and biomedical applications.
Oasis Title:INTERMED MATH STAT
Prerequisite:MATH 2410
Semester Course
Offered:
Offered spring semester every 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 6315 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 or STAT 6315
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 4230/6230 or 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
Prerequisite:STAT 4230/6230 or STAT 8200 or permission of department
Semester Course
Offered:
Offered fall 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 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)
HR