Nov 25, 2024  
2022-2023 Undergraduate Course Catalog 
    
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  APPENDIX
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2022-2023 Undergraduate Course Catalog [ARCHIVED CATALOG]

Minor in Data Analytics

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The objective of introducing this minor is to provide our students with the opportunity to pursue education and training in the vital area of data analytics. The Minor Program is directed mainly to the School of Business students, but it is open for all students in the University. The total number of semester hours required is 15 hours. All courses must be completed with a grade of at least a “C”. We have two sets of requirements: one for the School of Business students, the other of non-business students.

School of Business Students:

Required Courses:

One elective from the following:

Other than School of Business students:

Required Courses:

One elective from the following:

Courses

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.

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