STAT 8050 Statistics for Bioinformatics
Credit Hours 3.0
Prerequisites MATH 4544/6544 or BIOL 4744/6744, or its equivalent
Description

(Same as BIOL 8050 and CSC 8050.) Three lecture hours per week. Introduction of computational biology and microarray informatics, gene expression analysis using microarray for transcriptional profiling, use of multivariate statistics and computer algorithms for different clustering techniques, important role of statistical packages, algorithms for calculating statistical quantities, and statistical research in the area.

STAT 8090 Applied Multivariate Statistics
Credit Hours 3.0
Prerequisites consent of the instructor
Description

Matrix algebra, Multivariate normal distributions, discriminant analysis, canonical correlations, and Multivariate analysis of variance.

STAT 8310 Bayesian Data Analysis
Credit Hours 3.0
Prerequisites MATH 4752/6752 (Mathematical Statistics II) or equivalent, or programming
Description

This course will cover the topics in the theory and practice of Bayesian statistical inference, ranging from a review of fundamentals to questions of current research interest. Motivation for the Bayesian approach. Bayesian computation, Monte Carlo methods, asymptotics. Model checking and comparison. A selection of examples and issues in modeling and data analysis. Discussion of advantages and difficulties of the Bayesian approach. This course will be computationally intensive through analysis of data sets using the R statistical computing language.

STAT 8320 Advanced Methodologies in Bioinformatics
Credit Hours 3.0
Prerequisites MATH 4752/6752 or equivalent
Description

Topics included are microarray data analysis, data normalization, differential analysis, resampling techniques, multiple testing problems, correction methods for multiple tests, brief introduction to pathway analysis.

STAT 8440 Survival Analysis
Credit Hours 3.0
Prerequisites MATH 4752/6752
Description

Topics included are survival function, hazard function, right censoring, nonparametric methods for comparing two survival distributions, parametric and nonparametric regression methods with survival data.

STAT 8540 Advanced Methodologies in Biostatistics
Credit Hours 3.0
Prerequisites MATH 6752
Description

Topics included are clinical trials, longitudinal data analysis, Bayesian method, and diagnosis.

STAT 8550 Applied functional data analysis
Credit Hours 3.0
Prerequisites MATH 4752 or MATH 6752
Description

Functional data arises in many scientific areas. With an increasing number of cases, the collected data are curves or functions. This course introduces basic concepts and methods of functional data analysis. Topics include: functional data representation, smoothing methods, exploration of functional data, registration of functional data, functional principal component analysis, canonical correlation and discriminant analysis, functional linear models.

STAT 8561 Linear Statistical Analysis I
Credit Hours 3.0
Prerequisites MATH 4751/MATH 6751 and MATH 4752/MATH 6752
Description

Topics included are statistical inference, Multivariate normal distribution, distribution of quadratic forms, linear models, regression models and experimental design models.

STAT 8562 Linear Statistical Analysis II
Credit Hours 3.0
Prerequisites MATH 4752/6752
Description

Topics included are statistical inference, Multivariate normal distribution, distribution of quadratic forms, linear models, regression models and experimental design models.

STAT 8581 Statistical Theory I
Credit Hours 3.0
Prerequisites MATH 4662 or MATH 6662
Description

The course is primarily on the theory of statistical estimation. Topics included are method of moments, least squares, maximum likelihood, minimum variance unbiased estimation, the sufficiency and completeness of statistics, Fisher information and Cramer-Rao bounds, statistical decision theory, and Bayes decision rules.

STAT 8582 Statistical Theory II
Credit Hours 3.0
Prerequisites STAT 8581
Description

Classical and modern statistics, probability, decision theory, estimation theory, testing hypotheses, confidence intervals, large sample theory, and sequential analysis.

STAT 8600 Probability Theory
Credit Hours 3.0
Prerequisites MATH 4752/6752
Description

Random variables and expectations, distribution and characteristic functions, laws of large numbers and central limit theorem, conditional probability, and expectation.

STAT 8610 Time Series Analysis
Credit Hours 3.0
Prerequisites MATH 4752/6752
Description

Introduction to stationary stochastic processes, spectral representations; Box-Jenkins time series models; forecasting methods. Applications include use of a statistical computer package.

STAT 8630 Experimental Designs
Credit Hours 3.0
Prerequisites MATH 4752/6752
Description

Analysis of randomized and incomplete block designs; factorial and nested designs using fixed, random, and mixed effects models. Applications include use of a statistical computer package.

STAT 8670 Computational Methods in Statistics
Credit Hours 3.0
Prerequisites MATH 4752/6752, and the ability to program in a high-level language
Description

Topics included are optimization, numerical integration, bootstrapping, cross-validation and Jackknife, density estimation, smoothing, and use of the statistical computer package of S-plus/R.

STAT 8674 Monte Carlo Methods
Credit Hours 3.0
Prerequisites MATH 6752 with grade of C or higher
Description

Topics included are the Monte Carlo method for integration, Metropolis-Hastings algorithms, the Gibbs sampler and other Markov chain-based methods, importance sampling, simulated tempering, perfect sampling, and other related subjects. Some applications will be illustrated by real examples. Applications include use of a statistical computer package.

STAT 8678 SAS Programming
Credit Hours 3.0
Prerequisites MATH 4544, MATH 6544, or equivalent
Description

A comprehensive overview of programming using the SAS statistical software package. Topics included are data management, matrix operations, descriptive and inferential statistics, macro programming and graphs.

STAT 8680 Applied Nonparametric Methods
Credit Hours 3.0
Prerequisites MATH 4752/6752
Description

Three lecture hours a week. Nonparametric testing and estimation procedures are introduced. Topics include rank methods for one sample and two sample problems, rank tests for one-way layouts, linear regression and independence problems, robust estimates, goodness-of-fit test, U-statistics, recent developments in nonparametric statistics.

STAT 8690 Topics in Statistics
Credit Hours 3.0
Description

May be repeated for credit if topics vary.

STAT 8691 Graduate Research in Statistics
Credit Hours 1.0 - 15.0
Description

May be repeated for credit.

STAT 8692 Graduate Laboratory in Statistics
Credit Hours 1.0 - 15.0
Description

May be repeated for credit.

STAT 8693 Statistical Internship
Credit Hours 1.0 - 3.0
Prerequisites Consent of instructor
Description

This course involves supervised, off-campus experience in a field in which statistical science plays an important role.

STAT 8694 Topics in Biostatistics
Credit Hours 3.0
Prerequisites Consent of instructor
Description

This course involves opportunity to study new research topics. Students will develop advanced statistical skills in the frontier of biostatistics.

STAT 8700 Categorical Data Analysis
Credit Hours 3.0
Prerequisites MATH 4752 or MATH 6752
Description

Analysis of Multinomial Data and Contingency tables, loglinear model for count data, model selection procedures; applications include use of statistical software packages, like SAS and S+.

STAT 8760 Sample Surveys
Credit Hours 3.0
Prerequisites MATH 4752/6752
Description

Sampling from finite populations; random, stratified, cluster, and systematic sampling; estimation of means and variances; and ratio and regression sampling.

STAT 8800 Statistical Consulting I
Credit Hours 1.0
Prerequisites graduate students who have taken at least one-year courses in statistics
Description

The objectives of Statistical Consulting Practicum are for students to develop skills needed by a successful statistical consultant, such as the effective collaboration skills with researchers in other disciplines, the communication skills, both written and verbal. In the orientation phase, a number of lectures will cover topics on consulting philosophy, effective problem identification, consulting session management and positive interaction with clients. In the practicum phase, students will be exposed to realistic statistical and scientific problems.

STAT 8801 Statistical Consulting II
Credit Hours 1.0
Prerequisites STAT 8800 or instructor's approval
Description

The objectives of Statistical Consulting Practicum are for students to develop skills needed by a successful statistical consultant, such as the effective collaboration skills with researchers in other disciplines, the communication skills, both written and verbal. In the practicum phase, students will be exposed to more realistic statistical and scientific problems.

STAT 8820 Research
Credit Hours 3.0
Prerequisites consent of instructor and chair of department
Description

Directed research leading to a research paper in statistics or analysis of a statistical problem. This course is intended to satisfy the requirement for a research paper or a written report of a laboratory experience for the non-thesis option.

STAT 8900 Colloquium
Credit Hours 1.0
Description

The course is to serve the need of graduate students who are ready to start research work. It provides students the opportunity to see a wide range of topics that are currently being studied by statisticians. It also helps students to learn the important elements of a successful professional talk and to develop skills of professional communication and presentation.

STAT 8950 Directed Research in Statistics
Credit Hours 1.0 - 15.0
Prerequisites consent of the instructor
Description
STAT 8999 Thesis Research
Credit Hours 1.0 - 18.0
Prerequisites thesis option
Description
STAT 9999 Dissertation Research
Credit Hours 1.0 - 18.0
Prerequisites consent of instructor
Description

octoral Dissertation Research.