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Course Description

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.

Refund Policy: The refund policy for Courses at Tufts offerings is dependent on the offering type: whether the offering is a course, workshop or short course, or in-demand offering. Please refer to the section details to confirm the type of offering as well as any exceptions to the standard refund policy. The refund policies for each offering type are viewable here: https://universitycollege.tufts.edu/policies/refunds#Courses-at-Tufts-(Academic-Year--Summer-Session)

Remission Eligible: Yes; first day of term; all university policies apply.

 

Affiliated With:

  • School of Engineering