Binghamton University 3 credits SSIE
This course will cover advanced data analysis methods with emphasis of their applications in industrial and systems engineering. There are three major components to the course. The first component is a brief review on basic univariate and multivariate analysis. The second component is an introduction to advanced statistical analysis methodologies such as time series modeling and forecasting, confirmatory factor analysis, multi-group discriminant analysis, multivariate analysis of variance, and structural equation modeling. The third component of the course focuses on real applications of these methods in research and data-driven decision making. Prerequisite: SSIE 505 or permission of the instructor. Term offered varies. 3 credits.
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