STATS 102A

Introduction to Computational Statistics with R

Description: Lecture, three hours; discussion, one hour. Requisites: courses 10, 20, Mathematics 33A. Introduction to computational statistics through numerical methods and computationally intensive methods for statistical problems. Topics include statistical graphics, root finding, simulation, randomization testing, and bootstrapping. Covers intermediate to advanced programming with R. P/NP or letter grading.

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