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QMM 280: Statistical Analysis for Business and Economics
3.00 Credits
University of North Carolina Wilmington
Prerequisite: MAT 111. Classification and presentation of business and economics data, probability and expected value, statistical inference, simple linear regression and correlation analysis.
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QMM 280 - Statistical Analysis for Business and Economics
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QMM 380: Data Analysis for Business Applications
3.00 Credits
University of North Carolina Wilmington
Prerequisite: QMM 280. Statistical inference as applied to business applications and decision making. Topics include linear and nonlinear regression models, analysis of variance and covariance, time series analysis, experimental design, and nonparametric statistical techniques. Applications require the use of computerbased statistical analysis programs.
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QMM 380 - Data Analysis for Business Applications
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QMM 385: Introduction to Management Science
3.00 Credits
University of North Carolina Wilmington
Prerequisite: QMM 280. Survey of mathematical models used in business decision making. Topics include linear programming, network analysis, and decision theory. Emphasis is on computer solution techniques and the interpretation of model solutions by managers.
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QMM 385 - Introduction to Management Science
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QMM 388: Operations Research
3.00 Credits
University of North Carolina Wilmington
Prerequisites: QMM 280 and admission to Cameron School of Business. Introduction to deterministic and probabilistic models applied to economics and business decision making. Topics include linear programming, integer programming, multicriteria decision making, network models, decision analysis, simulation, and queuing analysis. Emphasis on the development and solution of mathematical models and interpretation of the results by managers
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QMM 388 - Operations Research
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QMM 480: Business and Economic Forecasting
3.00 Credits
University of North Carolina Wilmington
Prerequisites: QMM 380 or consent of the department chair and admission to Cameron School of Business. Development of an approach to forecasting through the study of time-series techniques including moving averages, exponential smoothing, regression, and Box-Jenkins.
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QMM 480 - Business and Economic Forecasting
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QMM 484: Data Mining Techniques and Applications
3.00 Credits
University of North Carolina Wilmington
Prerequisite: QMM 280. Solving problems in business environment by using Data Mining Techniques. This course covers modeling techniques such as Decision Trees, Multiple Regression, Logistic Regression, Neural Networks, Cluster Analysis, and Survival Analysis. The focus of this class is on hands-on learning of how to use these techniques to solve business problems using SAS Enterprise Minor extensively.
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QMM 484 - Data Mining Techniques and Applications
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QMM 485: Introduction to Business Simulation
3.00 Credits
University of North Carolina Wilmington
Prerequisites: POM 370 and admission to Cameron School of Business. Introduction to simulation models as tools in the analysis of business problems. Discrete event simulation models for production and service systems are introduced through the use of a computer simulation language.
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QMM 485 - Introduction to Business Simulation
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QMM 491: Directed Individual Study
1.00 - 6.00 Credits
University of North Carolina Wilmington
Prerequisites: Junior or senior standing, consent of the department chair and admission to Cameron School of Business.
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QMM 491 - Directed Individual Study
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QMM 495: Seminar in Quantitative Methods
1.00 - 3.00 Credits
University of North Carolina Wilmington
Prerequisites: Junior or senior standing, consent of the department chair and admission to Cameron School of Business. This course may be repeated under a different subtitle.
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QMM 495 - Seminar in Quantitative Methods
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QMM 498: Internship in Quantitative Methods
1.00 - 6.00 Credits
University of North Carolina Wilmington
Prerequisites: Junior or senior standing, consent of the department chair and admission to Cameron School of Business. The chairperson may consider grade point average and individual course grades as they pertain to the internship being considered.
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QMM 498 - Internship in Quantitative Methods
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