Campus Wide Courses
BIT 5724: Managerial Statistics
Introduction to basic statistical (inference) tools necessary in managerial decision-making. Topics include, but are not limited to, descriptive statistics, elementary probability theory, sampling and sampling distributions, portfolio management, hypothesis testing, regression analysis, quality improvement, and Six Sigma concepts and methodoogy. Graduate standing required.
EDRE 5404: Foundations of Educational Research
Research and evaluation in education with emphasis on development of skill requisite for utilizing research and evaluation studies in practical situations. Applies these skills in exercises related to various research and evaluation models.
EDRE 5644: Questionnaire Design and Survey Research in Education
This course provides an overview of survey research for graduate students in education. It covers the process from project formulation and sampling, through instrument design and question formulation, to data processing and report writing. Emphasis will be on questionnaire design, providing students with an opportunity to create and revise their own questionnaire and critique instruments used in educational surveys. Pre: EDRE 5404.
EDRE 6605-6606: Quantitative Research Method in Education
6605: This two-course sequence is designed to provide an overview of basic research design, measurement and statistical concepts in social and behavioral research. Emphasis will be placed on understanding the process of social and educational research in field settings, hands on experience of designing and conducting research and analysis of data. 6605 is part of a year-long commitment and requires the student to take 6606 w/the same instructor concurrently.
Exceptions only by Instructor's permission. I,II. Pre: EDRE 5404.
6606: This two-course sequence is designed to provide an overview of basic research design, measurement and statistical concepts in social and behavioral research. Emphasis will be placed on understanding the process of social and educational research in field settings, hands on experience of designing and conducting research and analysis of data. Pre: EDRE 6606.
EDRE 6634: Advanced Statistics for Educators: Regression Analysis
Multivariate statistical procedures presented in an applied research setting. Oriented toward the logical extension of univariate tests of significance and estimation procedures to multivariate problems. Emphasis on using existing computer software packages. Pre: STAT 6634 or EDRE 6634, STAT 6644 or EDRE 6644.
EDRE 6694: Hierarchical Linear Modeling
Provides a conceptual framework of hierarchical linear modeling (HLM), some important statistical theory behind the HLM, and hands-on training for applying HLM technique through analyzing example data sets and projects. The course includes the formulation of statistical models for typical applications such as two-level organizational study, two-level growth model, and three-level growth model within contexts and prepares students to be able to use multilevel analysis to address research questions in their fields and write coherent summaries and interpretations of the results. Pre: EDRE 6634 (MIN grade of P)
EDRE 6794: Longitudinal Data Analysis
Advanced treatment beyond standard courses in topics such as questionnaire design, survey sampling, factor analysis, and meta analysis. May be repeated with different topics for up to 6 hours of credit. Pre: STAT 5634.
GEOG 5034: Analysis of Spatial Data
Methods of describing and analyzing spatial distributions, including spatial autocorrelation, quadrat analysis, trend surface analysis, and methods of map comparison. Applications to student research problems.
ISE 5034: Mathematical Probability and Statistics
One-semester mathematical foundations for graduate study of engineering oriented probability and statistics. Re-introduces probability in a rigorous mathematical fashion and re-introduces mathematical statistics as an application of mathematical probability. Establishes a solid mathematical foundation for the type of probability (and statistics) modeling and analysis that is characteristic of graduate industrial engineering curricula and practice. Pre-requisite: Graduate Standing required.
ISE 5414: Random Processes
Stochastic processes of use in many areas of study, specifically industrial engineering and operations research. Emphasis on Markov processes. Applications will be given. Pre: STAT 4105
PAPA 5214: Research Methods
Research methods in sociology including survey methods, qualitative methods, and experimental design. The link between social theory and social research. Measurement, validity, reliability, and the logic of data analysis. Cross-listed with SOC 5214.
PAPA 6524: Advanced Quantitative Methods in Public Administration and Policy
Advanced Quantitative Methods in Public Administration & Policy Advanced quantitative methods for the public administration and policy, including logit and probit models, factor analysis, structural equation models, and social network analysis.
PSCI 5115: Research Methods
The purposes, problems, and strategies of political science research, emphasizing concept and hypothesis formulation, operationalization, research design, data collection techniques, data processing, and multivariate data analysis. Cross-listed with GIA 5115.
PSYC 5316: Research Methods
Advanced treatment of a variety of research related issues germane to the discipline of psychology, including: the scientific method, elements of the research process, alternative strategies for operationalizing variables, sampling, research ethics, experimental research, quasi-experimental research, non-experimental research, research artifacts, non-traditional research strategies, quantitative literature reviews, and legal problems in research. PSYC majors only.
SOC 5204: Data Analysis
Examination of data analysis designs used in sociology with emphasis on the sociological interpretation of different kinds of analyses; practical applications as used in current research. 3 hours of statistics required.
SOC 5214: Research Methods
Research methods in sociology including survey methods, qualitative methods, and experimental design. The link between social theory and social research. Measurement, validity, reliability, and the logic of data analysis. Cross-listed with PAPA 5214. SOC majors only.
SOC 6204: Survey Research Methods
Survey research techniques used in sociological research including applied sampling techniques, measurement, scale construction reliability, response effects, administration of survey instruments, data management, and data processing. Pre: SOC 5204, SOC 5214, and STAT 4524
STAT 4105/5105G-4106/5106G: Theoretical Statistics
4105/5105G: Probability theory, counting techniques, conditional probability; random variables, moments; moment generating functions; multivariate distributions; transformations of random variables; order statistics.
4106/5106G: Convergence of sequences of random variables; central limit theorem; methods of estimation; hypothesis testing; linear models; analysis of variance. Pre: MATH 2224. (3H,3C). 4105: I; 4106: II.
STAT 5474 (ISE 5474): Statistical Theory of Quality Control
Development of statistical concepts and theory underlying procedures used in quality control applications. Sampling inspection procedures, the sequential probability ratio test, continuous sampling procedures, process control procedures, and experimental design. Cross-listed with ISE 5474. Pre: STAT 5104, 5114; (3H,3C). I. Alternate years.
STAT 4524/5524G: Sample Survey Methods
Statistical methods for the design and analysis of survey sampling. Fundamental survey designs. Methods of randomization specific to various survey designs. Estimation of population means, proportions, totals, variances, and mean squared errors. Design of questionnaires and organization of a survey. Project. Pre: One of 3006, 3616, 4106, 4706, 5606, 5616. (3H,3C). I. Odd years.
STAT 5204G: Experimental Design: Concepts and Applications
Fundamental principles of designing and analyzing experiments with application to problems in various subject matter areas. Discussion of completely randomized, randomized complete block, and Latin square designs, analysis of covariance, split--plot designs, factorial and fractional designs, incomplete block designs. Project. Pre: one of 3006, 3616, 4106, 4706, 5605, 5615. (3H,3C). I.
STAT 5214G: Advanced Regression Analysis
Multiple regression including variable selection procedures; detection and effects of multicollinearity; identification and effects of influential observations; residual analysis; use of transformations. Non-linear regression, the use of indicator variables, and logistic regression. Use of SAS.
STAT 5444: Bayesian Statistics
Introductory course of Bayesian statistics on basic concepts of probability, Bayesian inference of Normal, Binomial, Poisson, Uniform and other common distributions, selections of prior information, Bayesian decision theory, Bayesian analysis of regression and analysis of variance and Bayesian foundation. Pre: 5114; (3H,3C). II. Even years
STAT 5504G: Advanced Applied Multivariate Methods
Non-mathematical study of multivariate analysis. Multivariate analogs of uinivariate test and estimation procedures. Simultaneous inference procedures. Multivariate analysis of variance, repeated measures, inference for dispersion and association parameters, principle components analysis, discriminant analysis, cluster analysis. Pre: STAT 5606 or STAT 5616. Graduate Standing required.
STAT 5514G: Contingency Tables
Statistical techniques for frequency data. Goodness-of-fit. Tests and measures of association for two-way tables. Log-linear models for multidimensional tables. Parameter estimation, model selection, incomplete tables, ordinal categories, logistic regression. Use of BMDP and SPSSx. Project. Pre: WIN/MAC and one of 3006, 3616, 4106, 4706, 5606, 5616. (3H,3C). II. Even years.
STAT 5534G: Time Series
An applied course in time series analysis. A uniform coverage of both time domain and frequency domain methods that are used in the physical, biological, and social sciences and by applied statisticians. Pre: One of 3006, 4106, 4706, 4714, 5606, 5616; WIN/MAC, Math 1206. (3H,3C). II. Odd years.
STAT 5605-5606: Biometry
5605: Descriptive statistics, the normal distribution, estimation, hypothesis testing, simple linear regression, and one-way analysis of variance and the use of JMP® software (a product of SAS) with applications to the biological sciences.
5606: Experimental design, nested and factorial analysis of variance, linear regression and correlation, multiple regression, and the use of JMP® software (a product of SAS), with applications to the biological sciences. 5606: Pre: 5605 or 5615. (3H,3C). 5605: I; 5606: II.
STAT 5615-5616: Statistics in Research
5615: Concepts in statistical inference, including basic probability, estimation, and test of hypothesis, point and interval estimation and inferences; simple linear regression; one-way analysis of variance and categorical data analysis.
5616: Experimental designs: basic concepts; completely randomized designs; randomized complete block designs; balanced incomplete block designs; Latin square designs; factorial treatment designs; mixed effects designs; split-plot designs. Multiple linear regression: general formulation, estimation and inference, variable selection, and model diagnostics. Pre: 5615: 1 year calculus; 5616: 5615(3H,3C). 5615: I 5616: II.