STQM 4420: Applied Regression Analysis (3) . Prerequisites: DSC 3020 .
This course covers applied regression and other multivariable methods in data analysis. Topics include: Simple linear regression, multivariable regression, inference, transformations, correlation, dummy variables, regression diagnostics, polynomial regression, analysis of variance, analysis of covariance, selecting best model.
STQM 4440: Applied Categorical Data Analysis (3) . Prerequisites: STQM 4440 .
This course covers methods of data analysis for data which is categorical in nature. Topics include: Contingency tables (2x2 table, sets of 2x2 tables, 2xr, and sx2 tables, sxr tables), association, Mantel-Haenzel test, observer agreement, rank ANOVA, logistic regression.
STQM 4900 - Special Topics in Data Analytics (3) . Prerequisites: Permission of Instructor.
Interested students must consult with instructor or department chair prior to enrolling. Topics include: statistical computing, simulation, survival analysis, cluster analysis, factor analysis, nonparametic statistics, econometrics. May be repeated for credit.