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QBA 221 Statistical Analysis. (3) F, S
Methods of statistical description. Application of probability theory and statistical inference in business. Prerequisite: MAT 119. General Studies: CS.
QBA 321 Applied Quality Analysis I. (3) A
Applications of statistical tools employed in empirical studies related to quality analysis. Applications focus on service processes. Prerequisite: QBA 221. General Studies: L.
QBA 410 Applied Business Forecasting. (3) N
Application of forecasting techniques in business and institutional environments. Prerequisite: QBA 321.
QBA 421 Applied Quality Analysis II. (3) A
Applications of statistical tools employed in manufacturing and experimental research. Applications focus on design and improvement of processes. Prerequisite: QBA 321.
QBA 525 Applied Regression Models. (3) A
Simple linear regression, multiple regression, indicator variables, and logistic regression. Emphasis on business and economic applications. Prerequisite: MAT 210.
QBA 527 Categorical Data Analysis. (3) A
Discrete data analysis in business research. Multidimensional contingency tables and other discrete models. Prerequisite: QBA 525.
QBA 530 Experimental Design. (3) A
Experimental designs used in business research. Balanced and unbalanced factorial designs, repeated measures designs, and multivariate analysis of variance. Prerequisite: QBA 525 or equivalent.
QBA 535 Multivariate Methods. (3) A
Advanced statistical methods used in business research. Multivariate analysis of association and interdependence. Prerequisite: QBA 525.
QBA 540 Forecasting. (3) N
Foundation of statistical forecasts and forecast intervals; application of classical and computer-assisted forecasting methods to business forecasting problems. Prerequisites: MAT 210; QBA 502.
QBA 593 Applied Project. (1–12) N
QBA 450 Operations and Process Analysis. (3) A
Implementation of quantitative techniques for the analysis of quality problems related to operations and process analysis. Prerequisites: OPM 301; QBA 221. General Studies: L.
QBA 502 Managerial Decision Analysis. (3) F, S
Fundamentals of quantitative analysis to aid management decision making under uncertainty. Prerequisites: MAT 210; computer literacy; graduate degree program student.
QBA 505 Management Science. (3) N
Quantitative approaches to decision making, including linear programming and simulation, with an emphasis on business applications. Prerequisites: MAT 210; QBA 502.
QBA 508 Product and Service Innovation. (3) F, S
Developing strategies for innovation in products and services. Prerequisites: basic algebra; basic probability concepts; elementary knowledge of Windows.
QBA 550 Intermediate Decision Analysis. (3) N
Quantitative decision analysis methods for business decision making under uncertainty, including decision diagrams, subjective probabilities, and preference assessment. Prerequisites: MAT 210; QBA 502.
QBA 591 Seminar. (3) F, S
Current topics in Quantitative Business Analysis primarily designed for technology, evening, and executive M.B.A. students. Elective courses for these programs may include:
| (a) | Decision Models |
| (b) | Decision Models for Consulting |
| (c) | Management Problem Solving |
| (d) | Strategic Decision Analysis |
QBA 593 Applied Project. (1–12) N
QBA 791 Doctoral Seminars in Quantitative Business Analysis. (1) N
The Department of Management has adopted a modular approach to Ph.D. education. Topics such as the following may be offered:
| (a) | Chaos Theory |
| (b) | Risk Analysis |
| (c) | Strategic Decision Making |
| (d) | Systems Dynamics |
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