Applied Multivariance Data Analysis
SSIE-605-20
Binghamton University
- Semester
- Spring 2025
- Instructor
- Shuxia Susan Lu
- Start Date
- 01-21-2025
- Total Credits
- 3
- Call to Register
- 607-777-6088
Take your class online with SUNY
You will learn the same curriculum as our on-campus students
Course introduces different multivariate data analysis and modeling tools, which can be used for simultaneously analyzing data with multiple dependent variables. It is designed to emphasize applied methodologies and applications in multivariate data analysis, especially in engineering fields. Topics to be covered include: multivariate regression, logistic regression, multivariate analysis of variance (MANOVA), principal components analysis, cluster analysis, canonical correlation, factor analysis, and discriminant analysis. The effective use of advanced data analysis software, such as SAS, for solving real-world engineering problems will also be addressed.
Prerequisites:
SSIE 505 or its equivalent
Course Area: Engineering
Level: Graduate
Dates: 01-21-2025 - 05-07-2025
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- Instructor: Shuxia Susan Lu
- Local Course ID: 25SP_BIN_SSIE605_20
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