## STAT 2000Introductory Statistics

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,…

## STAT 2000EIntroductory Statistics

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,…

## STAT 2010Statistical Methods for Data Scientists

In-depth introductory statistical methods, focusing on inference, alignment between study design and conclusions, and real-world decision making. Includes parametric and non-parametric approaches to one- and two-sample inference for means and proportions, Type I and II errors, power; chi-squared…

## STAT 2100HIntroduction to Statistics and Computing (Honors)

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…

## STAT 2360Programming and Data Literacy Using R

Elementary statistical analysis and data manipulation in R. Topics include algorithms, programs, and computing in R. Fundamental techniques of program development in R. Programming projects and applications. Hands-on experience of data input/output and formatting, brief introduction to object-…

## STAT 2360LProgramming and Data Literacy Using R

Elementary statistical analysis and data manipulation in R. Topics include algorithms, programs, and computing in R. Fundamental techniques of program development in R. Programming projects and applications. Hands-on experience of data input/output and formatting, brief introduction to object-…

## STAT 3110Introduction to Statistics for Life Sciences

Applied approach to statistical investigation, focusing on real- world decision making in the face of uncertainty. Introduction to central limit theorem and sampling distributions from probabilistic and simulations frameworks for inference, including one- and two-sample inference for means,…

## STAT 3110EIntroduction to Statistics for Life Sciences

Applied approach to statistical investigation, focusing on real- world decision making in the face of uncertainty. Introduction to central limit theorem and sampling distributions from probabilistic and simulations frameworks for inference, including one- and two-sample inference for means,…

## STAT 3120Introduction to Probability for Life Sciences

An understanding of probability and uncertainty in real-world situations. Case studies of the role of uncertainty in the life sciences. Analyzing chance phenomena to identify the underlying probabilistic principles and translating them into probability distributions or simulations. Introduction…

## STAT 4070Probability and Statistics for Secondary Teachers

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…

## STAT 4100Applied Stochastic Processes

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…

## STAT 4110HHonors Applied Statistics

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…

## STAT 4210Statistical Methods

A survey of statistical methods that introduces experimental design and analysis of variance; multiple linear regression; analysis of categorical data, including chi-squared tests of independence and goodness-of-fit; non-parametric tests, including tests based on resampling; and statistical…

## STAT 4220Applied Experimental Designs

Constructing and analyzing statistical experimental designs; blocking, randomization, replication, and interaction; complete and incomplete block designs; factorial experiments; repeated measures; confounding effects; orthogonal arrays; computer experiments and simulations; design and analysis…

## STAT 4230 Applied Regression Analysis

Applied methods in regression analysis with implementation in R. Topics include linear regression with mathematical examination of model assumptions and inferential procedures; multiple regression and model building, including collinearity, variable selection and inferential procedures; ANOVA as…

## STAT 4240Sampling and Survey Methods

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.

## STAT 4250Applied Multivariate Analysis and Statistical Learning

The methodology of multivariate statistics and machine learning for students specializing in statistics. Topics include inference on multivariate means, multivariate analysis of variance, principal component analysis, linear discriminant analysis, factor analysis, linear discrimination,…

## STAT 4260Statistical Quality Assurance

Basic graphical techniques and control charts. Experimentation in quality assurance. Sampling issues. Other topics include process capability studies, error analysis, SPRT, estimation and reliability.

Offered spring semester every even-numbered year.

## STAT 4270Network Data Analysis and Graphical Models

Network structures are increasingly common across the sciences, such as brain connectivity, gene-gene interaction, protein-protein interaction, the spread of diseases, social networks, etc. This course will introduce state-of-the-art concepts and algorithms concerning networks in statistics and…

## STAT 4280Applied Time Series Analysis

Autoregressive, moving average, autoregressive-moving average, and integrated autoregressive-moving average processes, seasonal models, autocorrelation function, estimation, model checking, forecasting, spectrum, spectral estimators.

## STAT 4290Nonparametric Methods

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…

## STAT 4350Applied Bayesian Statistics

Introduction to theory and methods of the Bayesian approach to statistical inference and data analysis. Covers components of Bayesian analysis (prior, likelihood, posterior), computational algorithms, and philosophical differences among various schools of statistical thought.

Offered…

A second course in statistical computing, using the SAS programming language to read data, create and manipulate SAS data sets, writing and using SAS MACROS, and SAS programming efficiency. SAS-based implementation of Structured Query Language (SQL). Additional topics may include Hadoop and…

## STAT 4360Statistical Software Programming

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…

## STAT 4360EStatistical Software Programming

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…

## STAT 4365Modern Statistical Programming

Statistical analysis and data manipulation in R and Python. Implementation of SQL. Topics include data input/output; data formats and types; data management; functions for statistical modeling; introduction to algorithms; flow control and program design; and programs for complex data…

## STAT 4510Mathematical Statistics I

Concepts and basic properties of some special probability distributions, independence, moment generating functions, sampling distributions of statistics, limiting distributions.

## STAT 4520Mathematical Statistics II

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…

## STAT 4530Statistical Inference for Data Scientists

Mathematical and computational approaches to estimation and inference from frequentist and Bayesian perspectives. Sampling distributions; maximum likelihood estimation; computational maximization of likelihoods, including grid search, Newton- Raphson methods; likelihood ratio tests. Simulations…

## STAT 4620Applied Categorical Data Analysis

The methodology of categorical data analysis and its applications. The course covers descriptive and inferential methods for contingency tables, an introduction to generalized linear models, logistic regression, multinomial response models, regression for counts, and methods for categorical data…

## STAT 4660Introduction to Quantitative Biology

Applications of mathematics and statistics in biology. Topics such as gene mapping, inference of evolutionary relationships, epidemiological modeling, and brain imaging. Students will conduct mini-projects on each topic. Emphasis on (1) thought process of converting biological problems into…

## STAT 4710Introduction to Probability Theory I

Probability axioms, combinatorial analysis, random variables, univariate and multivariate distributions, expectations, conditional distributions, independence, and laws of large numbers.

Not offered on a regular basis.

## STAT 4720Introduction to Probability Theory II

Central limit theorems, random walks, Markov chains and processes, Brownian motion, branching and renewal processes, diffusion processes and queueing processes and applications.

Not offered on a regular basis.

## STAT 4950Undergraduate Directed Study in Statistics

This course will allow students the opportunity for independent study of one or more topics in statistics under the direction of the instructor.

Students' workload and time commitment to the course per credit hour will be commensurate with the per credit hour expectations in traditional…

## STAT 4960RFaculty-Mentored Undergraduate Research I

Faculty-supervised independent or collaborative inquiry into fundamental and applied problems within a discipline that requires students to gather, analyze, synthesize, and interpret data and to present results in writing and other relevant communication formats.

This course belongs to a…

## STAT 4970RFaculty-Mentored Undergraduate Research II

Faculty-supervised independent or collaborative inquiry into fundamental and applied problems within a discipline that requires students to gather, analyze, synthesize, and interpret data and to present results in writing and other relevant communication formats.

These courses belong to a…

## STAT 4980RFaculty-Mentored Undergraduate Research III

Faculty-supervised independent or collaborative inquiry into fundamental and applied problems within a discipline that requires students to gather, analyze, synthesize, and interpret data and to present results in writing and other relevant communication formats.

These courses belong to a…

## CSCI 4990Data Science Capstone Course

Provides an exposure to advanced methods and technologies in data science, including data acquisition, data quality, big data management and analytics, data mining, data security and privacy, and introduces the students to data science experience with a real-world problem. In addition, effective…

## STAT 4990Data Science Capstone Course

Provides an exposure to advanced methods and technologies in data science, including data acquisition, data quality, big data management and analytics, data mining, data security and privacy, and introduces the students to data science experience with a real-world problem. In addition, effective…

## STAT 4990RUndergraduate Research Thesis (or Final Project)

Faculty-supervised independent or collaborative inquiry into fundamental and applied problems within a discipline that requires students to gather, analyze, synthesize, and interpret data. Students will write or produce a thesis or other professional capstone product, such as a report or…

## STAT 5010Statistical Capstone Course I

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,…

## STAT 5010WStatistical Capstone Course I

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…

## STAT 5020Statistical Capstone Course II

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…

## STAT 5020SStatistical Capstone Course II

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…

## STAT 5020WStatistical Capstone Course II

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…

## STAT 5700Internship in Statistics

Supervised practicum in a government agency or industry site.

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.

## STAT 7700Internship in Statistics

Supervised practicum in a government agency or industry site.

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.