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Undergraduate Courses 36-402
Advanced Data Analysis

Spring: 9 units

The material in this course concentrates on methods for the analysis of data. The emphasis is on description, validation, and interpretation. Topics include the design of experiments, the analysis of categorical data, and if time permits, other topics such as nonlinear regression models, survival analysis, and multivariate methods. Real-world examples will be drawn from engineering and the various physical and social sciences. Students will do projects and write reports. Prerequisite: 36-401.