# Courses

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### QBA201 Managerial Statistics

#### [3–0, 3 cr.]

This course covers the basic concepts in descriptive and inferential statistics relevant to managerial decision making. Topics include data analysis, probability, random variables, sampling distributions, estimation, hypothesis testing and regression. Examples and case studies are drawn from finance, marketing, and management to aid understanding of the statistical techniques and assist in their implementation. Extensive use of statistical software package tools is made for representing and analyzing data.

Prerequisite: None

### QBA301 Intermediate Managerial Statistics

#### [3–0, 3 cr.]

Prerequisites: BUS210.

### QBA730 Business Analytics for Executives

#### [1.5–0, 1.5 cr.]

This course covers the statistical techniques and concepts that a manager uses in making decisions. Topics include problem formulation, sampling techniques, data collection and analysis; statistical inference, including estimation and sample size determination; and regression and correlation analysis.

### QBA851 Quantitative Methods in Business

#### [3–0, 3 cr.]

This course is an introduction to the application of mathematical techniques in business decision-making, emphasizing practical usage in management situations. Topics include linear programming, transportation problems, network planning, queuing theory, regression analysis, and modeling techniques.

### QBA8510 Quantitative Methods in Business

#### [3–0, 3 cr.]

This course is an introduction to the application of mathematical techniques in business decision-making, emphasizing practical usage in management situations. Topics include linear programming, transportation problems, network planning, queuing theory, regression analysis, and modeling techniques.

### QBA8520 Research Methods

#### [3–0, 3 cr.]

This course is an examination of research methods applicable to the identification, definition, and problem resolution in a business environment, emphasizing methodological aspects and data collection and analysis techniques. Topics include problem identification and definition, hypothesis formulation, selection of appropriate research designs, sampling, data collection methodologies, statistical validation, and research report writing.