Quantitative Methods Courses

QMM 280. Statistical Analysis for Business and Economics (3) Prerequisite: MAT 111. Classification and presentation of business and economics data, probability and expected value, statistical inference, simple linear regression and correlation analysis.

QMM 380. Data Analysis for Business Applications (3) Prerequisite: QMM 280. Statistical inference as applied to business applications and decision making.? Topics include linear and non-linear regression models, analysis of variance and covariance, time series analysis, experimental design, and nonparametric statistical techniques.? Applications require the use of computer-based statistical analysis programs.

QMM 388. Operations Research (3) 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, multi-criteria 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

QMM 480. Business and Economic Forecasting (3) Prerequisites: QMM 280 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.

QMM 484. Data Mining Techniques and Applications (3) Prerequisite: QMM 280 and admission to Cameron School of Business. 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.

QMM 485. Introduction to Business Simulation (3) Prerequisites: OPS 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.

QMM 491. Directed Individual Study (1-6) Prerequisites: Junior or senior standing, consent of the department chair and admission to Cameron School of Business. Directed Independent Study Form

QMM 495. Seminar in Quantitative Methods (1-3) 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.

QMM 498. Internship in Quantitative Methods (1-6) 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.

QMM 499. Honors Work in Quantitative Methods (2-3) Prerequisites: Senior standing and admission to Cameron School of Business.? Independent work for honors students.