Statistical Inferences & Prediction
Foundational treatment of statistical inference and prediction methods with a focus on science and engineering applications. Frequentist and Bayesian statistical tests and inference, linear and multi-linear regression, logistic regression, regression versus classification, and clustering. Emphasis on analysis and implications of using small, incomplete and missing data sets. Recommendation: CEE201 and CEE 202
Basic Enrollment Requirements: Unofficial Transcript – Bachelor’s Degree + 3.0 GPA.
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Remission Eligible: Yes; first day of term; all university policies apply.
- School of Engineering