Quantitative Methods (Q M)

2610 Statistical Methods I. Three credits. Prerequisite: MATH 1630 or 1810. Identification, interpretation, and use of statistical data. Topics include measures of central tendency, variation, probability theory, point and interval estimation, and hypothesis testing. Computer applications emphasized.

3620 Statistical Methods II. Three credits. Prerequisites: Q M 2610; junior standing. More advanced methods of statistical analysis including simple and multivariate tests of hypotheses, non-parametric methods, correlation, regression, and time-series analysis. Computer applications emphasized.

3640 Introduction to Operations Research. Three credits. Prerequisites: Q M 3620; junior standing. Optimization techniques used in business decision making.

4010 Decision Science Techniques. Three credits. Prerequisites: Q M 2610 and MGMT 3620; junior standing. Current topics of quantitative management decision analysis and modeling. Computer application emphasized.

6000 Quantitative Methods Survey. Three credits. Quantitative methodologies to assist in the decision-making process. Emphasis on applied statistics and decision sciences topics that are practical, useful, and of wide application for business analysis. May not be used for elective credit in graduate business degree program.

6770 Computer-Based Decision Modeling. Three credits. Advanced techniques in quantitative methods. Modeling and optimization techniques. Computer applications emphasized.

6960 Statistical Methodology and Analysis. Three credits. Prerequisite: Q M 3620 or 6000. Descriptive and inferential statistical concepts with the use of expert systems to assist in the selection of appropriate design and methodology. Utilization of common packages for problem solution and analysis.

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